diff --git a/env-llmeval/lib/python3.10/site-packages/MarkupSafe-2.1.5.dist-info/INSTALLER b/env-llmeval/lib/python3.10/site-packages/MarkupSafe-2.1.5.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/MarkupSafe-2.1.5.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/env-llmeval/lib/python3.10/site-packages/MarkupSafe-2.1.5.dist-info/LICENSE.rst b/env-llmeval/lib/python3.10/site-packages/MarkupSafe-2.1.5.dist-info/LICENSE.rst new file mode 100644 index 0000000000000000000000000000000000000000..9d227a0cc43c3268d15722b763bd94ad298645a1 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/MarkupSafe-2.1.5.dist-info/LICENSE.rst @@ -0,0 +1,28 @@ +Copyright 2010 Pallets + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + +1. Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A +PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED +TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR +PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF +LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING +NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/env-llmeval/lib/python3.10/site-packages/MarkupSafe-2.1.5.dist-info/METADATA b/env-llmeval/lib/python3.10/site-packages/MarkupSafe-2.1.5.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..dfe37d52dfbbfdffc5b3181923e51c610046ff12 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/MarkupSafe-2.1.5.dist-info/METADATA @@ -0,0 +1,93 @@ +Metadata-Version: 2.1 +Name: MarkupSafe +Version: 2.1.5 +Summary: Safely add untrusted strings to HTML/XML markup. +Home-page: https://palletsprojects.com/p/markupsafe/ +Maintainer: Pallets +Maintainer-email: contact@palletsprojects.com +License: BSD-3-Clause +Project-URL: Donate, https://palletsprojects.com/donate +Project-URL: Documentation, https://markupsafe.palletsprojects.com/ +Project-URL: Changes, https://markupsafe.palletsprojects.com/changes/ +Project-URL: Source Code, https://github.com/pallets/markupsafe/ +Project-URL: Issue Tracker, https://github.com/pallets/markupsafe/issues/ +Project-URL: Chat, https://discord.gg/pallets +Classifier: Development Status :: 5 - Production/Stable +Classifier: Environment :: Web Environment +Classifier: Intended Audience :: Developers +Classifier: License :: OSI Approved :: BSD License +Classifier: Operating System :: OS Independent +Classifier: Programming Language :: Python +Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content +Classifier: Topic :: Text Processing :: Markup :: HTML +Requires-Python: >=3.7 +Description-Content-Type: text/x-rst +License-File: LICENSE.rst + +MarkupSafe +========== + +MarkupSafe implements a text object that escapes characters so it is +safe to use in HTML and XML. Characters that have special meanings are +replaced so that they display as the actual characters. This mitigates +injection attacks, meaning untrusted user input can safely be displayed +on a page. + + +Installing +---------- + +Install and update using `pip`_: + +.. code-block:: text + + pip install -U MarkupSafe + +.. _pip: https://pip.pypa.io/en/stable/getting-started/ + + +Examples +-------- + +.. code-block:: pycon + + >>> from markupsafe import Markup, escape + + >>> # escape replaces special characters and wraps in Markup + >>> escape("") + Markup('<script>alert(document.cookie);</script>') + + >>> # wrap in Markup to mark text "safe" and prevent escaping + >>> Markup("Hello") + Markup('hello') + + >>> escape(Markup("Hello")) + Markup('hello') + + >>> # Markup is a str subclass + >>> # methods and operators escape their arguments + >>> template = Markup("Hello {name}") + >>> template.format(name='"World"') + Markup('Hello "World"') + + +Donate +------ + +The Pallets organization develops and supports MarkupSafe and other +popular packages. In order to grow the community of contributors and +users, and allow the maintainers to devote more time to the projects, +`please donate today`_. + +.. _please donate today: https://palletsprojects.com/donate + + +Links +----- + +- Documentation: https://markupsafe.palletsprojects.com/ +- Changes: https://markupsafe.palletsprojects.com/changes/ +- PyPI Releases: https://pypi.org/project/MarkupSafe/ +- Source Code: https://github.com/pallets/markupsafe/ +- Issue Tracker: https://github.com/pallets/markupsafe/issues/ +- Chat: https://discord.gg/pallets diff --git a/env-llmeval/lib/python3.10/site-packages/MarkupSafe-2.1.5.dist-info/RECORD b/env-llmeval/lib/python3.10/site-packages/MarkupSafe-2.1.5.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..1a961ed7a4d3a2d38028bbd9c5997c3bef5ad107 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/MarkupSafe-2.1.5.dist-info/RECORD @@ -0,0 +1,14 @@ +MarkupSafe-2.1.5.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 +MarkupSafe-2.1.5.dist-info/LICENSE.rst,sha256=SJqOEQhQntmKN7uYPhHg9-HTHwvY-Zp5yESOf_N9B-o,1475 +MarkupSafe-2.1.5.dist-info/METADATA,sha256=2dRDPam6OZLfpX0wg1JN5P3u9arqACxVSfdGmsJU7o8,3003 +MarkupSafe-2.1.5.dist-info/RECORD,, +MarkupSafe-2.1.5.dist-info/WHEEL,sha256=1FEjxEYgybphwh9S0FO9IcZ0B-NIeM2ko8OzhFZeOeQ,152 +MarkupSafe-2.1.5.dist-info/top_level.txt,sha256=qy0Plje5IJuvsCBjejJyhDCjEAdcDLK_2agVcex8Z6U,11 +markupsafe/__init__.py,sha256=r7VOTjUq7EMQ4v3p4R1LoVOGJg6ysfYRncLr34laRBs,10958 +markupsafe/__pycache__/__init__.cpython-310.pyc,, +markupsafe/__pycache__/_native.cpython-310.pyc,, +markupsafe/_native.py,sha256=GR86Qvo_GcgKmKreA1WmYN9ud17OFwkww8E-fiW-57s,1713 +markupsafe/_speedups.c,sha256=X2XvQVtIdcK4Usz70BvkzoOfjTCmQlDkkjYSn-swE0g,7083 +markupsafe/_speedups.cpython-310-x86_64-linux-gnu.so,sha256=kPt-fhZ_RG7PUbDvwmyC26ZvRJ9DvUlF3hszBIB6_xs,44240 +markupsafe/_speedups.pyi,sha256=vfMCsOgbAXRNLUXkyuyonG8uEWKYU4PDqNuMaDELAYw,229 +markupsafe/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 diff --git a/env-llmeval/lib/python3.10/site-packages/MarkupSafe-2.1.5.dist-info/WHEEL b/env-llmeval/lib/python3.10/site-packages/MarkupSafe-2.1.5.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..1d812513305907d2ee59b95d161fdb54d1ab559c --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/MarkupSafe-2.1.5.dist-info/WHEEL @@ -0,0 +1,6 @@ +Wheel-Version: 1.0 +Generator: bdist_wheel (0.42.0) +Root-Is-Purelib: false +Tag: cp310-cp310-manylinux_2_17_x86_64 +Tag: cp310-cp310-manylinux2014_x86_64 + diff --git a/env-llmeval/lib/python3.10/site-packages/MarkupSafe-2.1.5.dist-info/top_level.txt b/env-llmeval/lib/python3.10/site-packages/MarkupSafe-2.1.5.dist-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..75bf729258f9daef77370b6df1a57940f90fc23f --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/MarkupSafe-2.1.5.dist-info/top_level.txt @@ -0,0 +1 @@ +markupsafe diff --git a/env-llmeval/lib/python3.10/site-packages/markupsafe/__init__.py b/env-llmeval/lib/python3.10/site-packages/markupsafe/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..b40f24c66dea9a3b6c140b8aeeef96078d40a2ca --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/markupsafe/__init__.py @@ -0,0 +1,332 @@ +import functools +import string +import sys +import typing as t + +if t.TYPE_CHECKING: + import typing_extensions as te + + class HasHTML(te.Protocol): + def __html__(self) -> str: + pass + + _P = te.ParamSpec("_P") + + +__version__ = "2.1.5" + + +def _simple_escaping_wrapper(func: "t.Callable[_P, str]") -> "t.Callable[_P, Markup]": + @functools.wraps(func) + def wrapped(self: "Markup", *args: "_P.args", **kwargs: "_P.kwargs") -> "Markup": + arg_list = _escape_argspec(list(args), enumerate(args), self.escape) + _escape_argspec(kwargs, kwargs.items(), self.escape) + return self.__class__(func(self, *arg_list, **kwargs)) # type: ignore[arg-type] + + return wrapped # type: ignore[return-value] + + +class Markup(str): + """A string that is ready to be safely inserted into an HTML or XML + document, either because it was escaped or because it was marked + safe. + + Passing an object to the constructor converts it to text and wraps + it to mark it safe without escaping. To escape the text, use the + :meth:`escape` class method instead. + + >>> Markup("Hello, World!") + Markup('Hello, World!') + >>> Markup(42) + Markup('42') + >>> Markup.escape("Hello, World!") + Markup('Hello <em>World</em>!') + + This implements the ``__html__()`` interface that some frameworks + use. Passing an object that implements ``__html__()`` will wrap the + output of that method, marking it safe. + + >>> class Foo: + ... def __html__(self): + ... return 'foo' + ... + >>> Markup(Foo()) + Markup('foo') + + This is a subclass of :class:`str`. It has the same methods, but + escapes their arguments and returns a ``Markup`` instance. + + >>> Markup("%s") % ("foo & bar",) + Markup('foo & bar') + >>> Markup("Hello ") + "" + Markup('Hello <foo>') + """ + + __slots__ = () + + def __new__( + cls, base: t.Any = "", encoding: t.Optional[str] = None, errors: str = "strict" + ) -> "te.Self": + if hasattr(base, "__html__"): + base = base.__html__() + + if encoding is None: + return super().__new__(cls, base) + + return super().__new__(cls, base, encoding, errors) + + def __html__(self) -> "te.Self": + return self + + def __add__(self, other: t.Union[str, "HasHTML"]) -> "te.Self": + if isinstance(other, str) or hasattr(other, "__html__"): + return self.__class__(super().__add__(self.escape(other))) + + return NotImplemented + + def __radd__(self, other: t.Union[str, "HasHTML"]) -> "te.Self": + if isinstance(other, str) or hasattr(other, "__html__"): + return self.escape(other).__add__(self) + + return NotImplemented + + def __mul__(self, num: "te.SupportsIndex") -> "te.Self": + if isinstance(num, int): + return self.__class__(super().__mul__(num)) + + return NotImplemented + + __rmul__ = __mul__ + + def __mod__(self, arg: t.Any) -> "te.Self": + if isinstance(arg, tuple): + # a tuple of arguments, each wrapped + arg = tuple(_MarkupEscapeHelper(x, self.escape) for x in arg) + elif hasattr(type(arg), "__getitem__") and not isinstance(arg, str): + # a mapping of arguments, wrapped + arg = _MarkupEscapeHelper(arg, self.escape) + else: + # a single argument, wrapped with the helper and a tuple + arg = (_MarkupEscapeHelper(arg, self.escape),) + + return self.__class__(super().__mod__(arg)) + + def __repr__(self) -> str: + return f"{self.__class__.__name__}({super().__repr__()})" + + def join(self, seq: t.Iterable[t.Union[str, "HasHTML"]]) -> "te.Self": + return self.__class__(super().join(map(self.escape, seq))) + + join.__doc__ = str.join.__doc__ + + def split( # type: ignore[override] + self, sep: t.Optional[str] = None, maxsplit: int = -1 + ) -> t.List["te.Self"]: + return [self.__class__(v) for v in super().split(sep, maxsplit)] + + split.__doc__ = str.split.__doc__ + + def rsplit( # type: ignore[override] + self, sep: t.Optional[str] = None, maxsplit: int = -1 + ) -> t.List["te.Self"]: + return [self.__class__(v) for v in super().rsplit(sep, maxsplit)] + + rsplit.__doc__ = str.rsplit.__doc__ + + def splitlines( # type: ignore[override] + self, keepends: bool = False + ) -> t.List["te.Self"]: + return [self.__class__(v) for v in super().splitlines(keepends)] + + splitlines.__doc__ = str.splitlines.__doc__ + + def unescape(self) -> str: + """Convert escaped markup back into a text string. This replaces + HTML entities with the characters they represent. + + >>> Markup("Main » About").unescape() + 'Main » About' + """ + from html import unescape + + return unescape(str(self)) + + def striptags(self) -> str: + """:meth:`unescape` the markup, remove tags, and normalize + whitespace to single spaces. + + >>> Markup("Main »\tAbout").striptags() + 'Main » About' + """ + value = str(self) + + # Look for comments then tags separately. Otherwise, a comment that + # contains a tag would end early, leaving some of the comment behind. + + while True: + # keep finding comment start marks + start = value.find("", start) + + if end == -1: + break + + value = f"{value[:start]}{value[end + 3:]}" + + # remove tags using the same method + while True: + start = value.find("<") + + if start == -1: + break + + end = value.find(">", start) + + if end == -1: + break + + value = f"{value[:start]}{value[end + 1:]}" + + # collapse spaces + value = " ".join(value.split()) + return self.__class__(value).unescape() + + @classmethod + def escape(cls, s: t.Any) -> "te.Self": + """Escape a string. Calls :func:`escape` and ensures that for + subclasses the correct type is returned. + """ + rv = escape(s) + + if rv.__class__ is not cls: + return cls(rv) + + return rv # type: ignore[return-value] + + __getitem__ = _simple_escaping_wrapper(str.__getitem__) + capitalize = _simple_escaping_wrapper(str.capitalize) + title = _simple_escaping_wrapper(str.title) + lower = _simple_escaping_wrapper(str.lower) + upper = _simple_escaping_wrapper(str.upper) + replace = _simple_escaping_wrapper(str.replace) + ljust = _simple_escaping_wrapper(str.ljust) + rjust = _simple_escaping_wrapper(str.rjust) + lstrip = _simple_escaping_wrapper(str.lstrip) + rstrip = _simple_escaping_wrapper(str.rstrip) + center = _simple_escaping_wrapper(str.center) + strip = _simple_escaping_wrapper(str.strip) + translate = _simple_escaping_wrapper(str.translate) + expandtabs = _simple_escaping_wrapper(str.expandtabs) + swapcase = _simple_escaping_wrapper(str.swapcase) + zfill = _simple_escaping_wrapper(str.zfill) + casefold = _simple_escaping_wrapper(str.casefold) + + if sys.version_info >= (3, 9): + removeprefix = _simple_escaping_wrapper(str.removeprefix) + removesuffix = _simple_escaping_wrapper(str.removesuffix) + + def partition(self, sep: str) -> t.Tuple["te.Self", "te.Self", "te.Self"]: + l, s, r = super().partition(self.escape(sep)) + cls = self.__class__ + return cls(l), cls(s), cls(r) + + def rpartition(self, sep: str) -> t.Tuple["te.Self", "te.Self", "te.Self"]: + l, s, r = super().rpartition(self.escape(sep)) + cls = self.__class__ + return cls(l), cls(s), cls(r) + + def format(self, *args: t.Any, **kwargs: t.Any) -> "te.Self": + formatter = EscapeFormatter(self.escape) + return self.__class__(formatter.vformat(self, args, kwargs)) + + def format_map( # type: ignore[override] + self, map: t.Mapping[str, t.Any] + ) -> "te.Self": + formatter = EscapeFormatter(self.escape) + return self.__class__(formatter.vformat(self, (), map)) + + def __html_format__(self, format_spec: str) -> "te.Self": + if format_spec: + raise ValueError("Unsupported format specification for Markup.") + + return self + + +class EscapeFormatter(string.Formatter): + __slots__ = ("escape",) + + def __init__(self, escape: t.Callable[[t.Any], Markup]) -> None: + self.escape = escape + super().__init__() + + def format_field(self, value: t.Any, format_spec: str) -> str: + if hasattr(value, "__html_format__"): + rv = value.__html_format__(format_spec) + elif hasattr(value, "__html__"): + if format_spec: + raise ValueError( + f"Format specifier {format_spec} given, but {type(value)} does not" + " define __html_format__. A class that defines __html__ must define" + " __html_format__ to work with format specifiers." + ) + rv = value.__html__() + else: + # We need to make sure the format spec is str here as + # otherwise the wrong callback methods are invoked. + rv = string.Formatter.format_field(self, value, str(format_spec)) + return str(self.escape(rv)) + + +_ListOrDict = t.TypeVar("_ListOrDict", list, dict) + + +def _escape_argspec( + obj: _ListOrDict, iterable: t.Iterable[t.Any], escape: t.Callable[[t.Any], Markup] +) -> _ListOrDict: + """Helper for various string-wrapped functions.""" + for key, value in iterable: + if isinstance(value, str) or hasattr(value, "__html__"): + obj[key] = escape(value) + + return obj + + +class _MarkupEscapeHelper: + """Helper for :meth:`Markup.__mod__`.""" + + __slots__ = ("obj", "escape") + + def __init__(self, obj: t.Any, escape: t.Callable[[t.Any], Markup]) -> None: + self.obj = obj + self.escape = escape + + def __getitem__(self, item: t.Any) -> "te.Self": + return self.__class__(self.obj[item], self.escape) + + def __str__(self) -> str: + return str(self.escape(self.obj)) + + def __repr__(self) -> str: + return str(self.escape(repr(self.obj))) + + def __int__(self) -> int: + return int(self.obj) + + def __float__(self) -> float: + return float(self.obj) + + +# circular import +try: + from ._speedups import escape as escape + from ._speedups import escape_silent as escape_silent + from ._speedups import soft_str as soft_str +except ImportError: + from ._native import escape as escape + from ._native import escape_silent as escape_silent # noqa: F401 + from ._native import soft_str as soft_str # noqa: F401 diff --git a/env-llmeval/lib/python3.10/site-packages/markupsafe/__pycache__/__init__.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/markupsafe/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..cab3e2f5d9347a7f65f6d7e406e9426c94b86d73 Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/markupsafe/__pycache__/__init__.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/markupsafe/__pycache__/_native.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/markupsafe/__pycache__/_native.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..8e2ccc0f9f6dd0b09f5df461b9edd216711a0cb1 Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/markupsafe/__pycache__/_native.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/markupsafe/_native.py b/env-llmeval/lib/python3.10/site-packages/markupsafe/_native.py new file mode 100644 index 0000000000000000000000000000000000000000..8117b2716d110074d9a81365c59343e81396b7f5 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/markupsafe/_native.py @@ -0,0 +1,63 @@ +import typing as t + +from . import Markup + + +def escape(s: t.Any) -> Markup: + """Replace the characters ``&``, ``<``, ``>``, ``'``, and ``"`` in + the string with HTML-safe sequences. Use this if you need to display + text that might contain such characters in HTML. + + If the object has an ``__html__`` method, it is called and the + return value is assumed to already be safe for HTML. + + :param s: An object to be converted to a string and escaped. + :return: A :class:`Markup` string with the escaped text. + """ + if hasattr(s, "__html__"): + return Markup(s.__html__()) + + return Markup( + str(s) + .replace("&", "&") + .replace(">", ">") + .replace("<", "<") + .replace("'", "'") + .replace('"', """) + ) + + +def escape_silent(s: t.Optional[t.Any]) -> Markup: + """Like :func:`escape` but treats ``None`` as the empty string. + Useful with optional values, as otherwise you get the string + ``'None'`` when the value is ``None``. + + >>> escape(None) + Markup('None') + >>> escape_silent(None) + Markup('') + """ + if s is None: + return Markup() + + return escape(s) + + +def soft_str(s: t.Any) -> str: + """Convert an object to a string if it isn't already. This preserves + a :class:`Markup` string rather than converting it back to a basic + string, so it will still be marked as safe and won't be escaped + again. + + >>> value = escape("") + >>> value + Markup('<User 1>') + >>> escape(str(value)) + Markup('&lt;User 1&gt;') + >>> escape(soft_str(value)) + Markup('<User 1>') + """ + if not isinstance(s, str): + return str(s) + + return s diff --git a/env-llmeval/lib/python3.10/site-packages/markupsafe/_speedups.c b/env-llmeval/lib/python3.10/site-packages/markupsafe/_speedups.c new file mode 100644 index 0000000000000000000000000000000000000000..3c463fb82d53e9a9616acfbbece0eb3be6d0d5e7 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/markupsafe/_speedups.c @@ -0,0 +1,320 @@ +#include + +static PyObject* markup; + +static int +init_constants(void) +{ + PyObject *module; + + /* import markup type so that we can mark the return value */ + module = PyImport_ImportModule("markupsafe"); + if (!module) + return 0; + markup = PyObject_GetAttrString(module, "Markup"); + Py_DECREF(module); + + return 1; +} + +#define GET_DELTA(inp, inp_end, delta) \ + while (inp < inp_end) { \ + switch (*inp++) { \ + case '"': \ + case '\'': \ + case '&': \ + delta += 4; \ + break; \ + case '<': \ + case '>': \ + delta += 3; \ + break; \ + } \ + } + +#define DO_ESCAPE(inp, inp_end, outp) \ + { \ + Py_ssize_t ncopy = 0; \ + while (inp < inp_end) { \ + switch (*inp) { \ + case '"': \ + memcpy(outp, inp-ncopy, sizeof(*outp)*ncopy); \ + outp += ncopy; ncopy = 0; \ + *outp++ = '&'; \ + *outp++ = '#'; \ + *outp++ = '3'; \ + *outp++ = '4'; \ + *outp++ = ';'; \ + break; \ + case '\'': \ + memcpy(outp, inp-ncopy, sizeof(*outp)*ncopy); \ + outp += ncopy; ncopy = 0; \ + *outp++ = '&'; \ + *outp++ = '#'; \ + *outp++ = '3'; \ + *outp++ = '9'; \ + *outp++ = ';'; \ + break; \ + case '&': \ + memcpy(outp, inp-ncopy, sizeof(*outp)*ncopy); \ + outp += ncopy; ncopy = 0; \ + *outp++ = '&'; \ + *outp++ = 'a'; \ + *outp++ = 'm'; \ + *outp++ = 'p'; \ + *outp++ = ';'; \ + break; \ + case '<': \ + memcpy(outp, inp-ncopy, sizeof(*outp)*ncopy); \ + outp += ncopy; ncopy = 0; \ + *outp++ = '&'; \ + *outp++ = 'l'; \ + *outp++ = 't'; \ + *outp++ = ';'; \ + break; \ + case '>': \ + memcpy(outp, inp-ncopy, sizeof(*outp)*ncopy); \ + outp += ncopy; ncopy = 0; \ + *outp++ = '&'; \ + *outp++ = 'g'; \ + *outp++ = 't'; \ + *outp++ = ';'; \ + break; \ + default: \ + ncopy++; \ + } \ + inp++; \ + } \ + memcpy(outp, inp-ncopy, sizeof(*outp)*ncopy); \ + } + +static PyObject* +escape_unicode_kind1(PyUnicodeObject *in) +{ + Py_UCS1 *inp = PyUnicode_1BYTE_DATA(in); + Py_UCS1 *inp_end = inp + PyUnicode_GET_LENGTH(in); + Py_UCS1 *outp; + PyObject *out; + Py_ssize_t delta = 0; + + GET_DELTA(inp, inp_end, delta); + if (!delta) { + Py_INCREF(in); + return (PyObject*)in; + } + + out = PyUnicode_New(PyUnicode_GET_LENGTH(in) + delta, + PyUnicode_IS_ASCII(in) ? 127 : 255); + if (!out) + return NULL; + + inp = PyUnicode_1BYTE_DATA(in); + outp = PyUnicode_1BYTE_DATA(out); + DO_ESCAPE(inp, inp_end, outp); + return out; +} + +static PyObject* +escape_unicode_kind2(PyUnicodeObject *in) +{ + Py_UCS2 *inp = PyUnicode_2BYTE_DATA(in); + Py_UCS2 *inp_end = inp + PyUnicode_GET_LENGTH(in); + Py_UCS2 *outp; + PyObject *out; + Py_ssize_t delta = 0; + + GET_DELTA(inp, inp_end, delta); + if (!delta) { + Py_INCREF(in); + return (PyObject*)in; + } + + out = PyUnicode_New(PyUnicode_GET_LENGTH(in) + delta, 65535); + if (!out) + return NULL; + + inp = PyUnicode_2BYTE_DATA(in); + outp = PyUnicode_2BYTE_DATA(out); + DO_ESCAPE(inp, inp_end, outp); + return out; +} + + +static PyObject* +escape_unicode_kind4(PyUnicodeObject *in) +{ + Py_UCS4 *inp = PyUnicode_4BYTE_DATA(in); + Py_UCS4 *inp_end = inp + PyUnicode_GET_LENGTH(in); + Py_UCS4 *outp; + PyObject *out; + Py_ssize_t delta = 0; + + GET_DELTA(inp, inp_end, delta); + if (!delta) { + Py_INCREF(in); + return (PyObject*)in; + } + + out = PyUnicode_New(PyUnicode_GET_LENGTH(in) + delta, 1114111); + if (!out) + return NULL; + + inp = PyUnicode_4BYTE_DATA(in); + outp = PyUnicode_4BYTE_DATA(out); + DO_ESCAPE(inp, inp_end, outp); + return out; +} + +static PyObject* +escape_unicode(PyUnicodeObject *in) +{ + if (PyUnicode_READY(in)) + return NULL; + + switch (PyUnicode_KIND(in)) { + case PyUnicode_1BYTE_KIND: + return escape_unicode_kind1(in); + case PyUnicode_2BYTE_KIND: + return escape_unicode_kind2(in); + case PyUnicode_4BYTE_KIND: + return escape_unicode_kind4(in); + } + assert(0); /* shouldn't happen */ + return NULL; +} + +static PyObject* +escape(PyObject *self, PyObject *text) +{ + static PyObject *id_html; + PyObject *s = NULL, *rv = NULL, *html; + + if (id_html == NULL) { + id_html = PyUnicode_InternFromString("__html__"); + if (id_html == NULL) { + return NULL; + } + } + + /* we don't have to escape integers, bools or floats */ + if (PyLong_CheckExact(text) || + PyFloat_CheckExact(text) || PyBool_Check(text) || + text == Py_None) + return PyObject_CallFunctionObjArgs(markup, text, NULL); + + /* if the object has an __html__ method that performs the escaping */ + html = PyObject_GetAttr(text ,id_html); + if (html) { + s = PyObject_CallObject(html, NULL); + Py_DECREF(html); + if (s == NULL) { + return NULL; + } + /* Convert to Markup object */ + rv = PyObject_CallFunctionObjArgs(markup, (PyObject*)s, NULL); + Py_DECREF(s); + return rv; + } + + /* otherwise make the object unicode if it isn't, then escape */ + PyErr_Clear(); + if (!PyUnicode_Check(text)) { + PyObject *unicode = PyObject_Str(text); + if (!unicode) + return NULL; + s = escape_unicode((PyUnicodeObject*)unicode); + Py_DECREF(unicode); + } + else + s = escape_unicode((PyUnicodeObject*)text); + + /* convert the unicode string into a markup object. */ + rv = PyObject_CallFunctionObjArgs(markup, (PyObject*)s, NULL); + Py_DECREF(s); + return rv; +} + + +static PyObject* +escape_silent(PyObject *self, PyObject *text) +{ + if (text != Py_None) + return escape(self, text); + return PyObject_CallFunctionObjArgs(markup, NULL); +} + + +static PyObject* +soft_str(PyObject *self, PyObject *s) +{ + if (!PyUnicode_Check(s)) + return PyObject_Str(s); + Py_INCREF(s); + return s; +} + + +static PyMethodDef module_methods[] = { + { + "escape", + (PyCFunction)escape, + METH_O, + "Replace the characters ``&``, ``<``, ``>``, ``'``, and ``\"`` in" + " the string with HTML-safe sequences. Use this if you need to display" + " text that might contain such characters in HTML.\n\n" + "If the object has an ``__html__`` method, it is called and the" + " return value is assumed to already be safe for HTML.\n\n" + ":param s: An object to be converted to a string and escaped.\n" + ":return: A :class:`Markup` string with the escaped text.\n" + }, + { + "escape_silent", + (PyCFunction)escape_silent, + METH_O, + "Like :func:`escape` but treats ``None`` as the empty string." + " Useful with optional values, as otherwise you get the string" + " ``'None'`` when the value is ``None``.\n\n" + ">>> escape(None)\n" + "Markup('None')\n" + ">>> escape_silent(None)\n" + "Markup('')\n" + }, + { + "soft_str", + (PyCFunction)soft_str, + METH_O, + "Convert an object to a string if it isn't already. This preserves" + " a :class:`Markup` string rather than converting it back to a basic" + " string, so it will still be marked as safe and won't be escaped" + " again.\n\n" + ">>> value = escape(\"\")\n" + ">>> value\n" + "Markup('<User 1>')\n" + ">>> escape(str(value))\n" + "Markup('&lt;User 1&gt;')\n" + ">>> escape(soft_str(value))\n" + "Markup('<User 1>')\n" + }, + {NULL, NULL, 0, NULL} /* Sentinel */ +}; + +static struct PyModuleDef module_definition = { + PyModuleDef_HEAD_INIT, + "markupsafe._speedups", + NULL, + -1, + module_methods, + NULL, + NULL, + NULL, + NULL +}; + +PyMODINIT_FUNC +PyInit__speedups(void) +{ + if (!init_constants()) + return NULL; + + return PyModule_Create(&module_definition); +} diff --git a/env-llmeval/lib/python3.10/site-packages/markupsafe/_speedups.cpython-310-x86_64-linux-gnu.so b/env-llmeval/lib/python3.10/site-packages/markupsafe/_speedups.cpython-310-x86_64-linux-gnu.so new file mode 100644 index 0000000000000000000000000000000000000000..80e74853c880ba8705d27358f4e436132f7eab4c Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/markupsafe/_speedups.cpython-310-x86_64-linux-gnu.so differ diff --git a/env-llmeval/lib/python3.10/site-packages/markupsafe/_speedups.pyi b/env-llmeval/lib/python3.10/site-packages/markupsafe/_speedups.pyi new file mode 100644 index 0000000000000000000000000000000000000000..f673240f6d299917d829a5fdbf85d25d84dd0a72 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/markupsafe/_speedups.pyi @@ -0,0 +1,9 @@ +from typing import Any +from typing import Optional + +from . import Markup + +def escape(s: Any) -> Markup: ... +def escape_silent(s: Optional[Any]) -> Markup: ... +def soft_str(s: Any) -> str: ... +def soft_unicode(s: Any) -> str: ... diff --git a/env-llmeval/lib/python3.10/site-packages/markupsafe/py.typed b/env-llmeval/lib/python3.10/site-packages/markupsafe/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/__init__.py b/env-llmeval/lib/python3.10/site-packages/packaging/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e7c0aa12ca950f230c8092436a985b2305702642 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/packaging/__init__.py @@ -0,0 +1,15 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. + +__title__ = "packaging" +__summary__ = "Core utilities for Python packages" +__uri__ = "https://github.com/pypa/packaging" + +__version__ = "24.0" + +__author__ = "Donald Stufft and individual contributors" +__email__ = "donald@stufft.io" + +__license__ = "BSD-2-Clause or Apache-2.0" +__copyright__ = "2014 %s" % __author__ diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/__init__.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ebe140292c1e6c6ae41582aeb0428bbaf669a547 Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/__init__.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/_elffile.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/_elffile.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..2731309e909fb6126de7ac3ddf94f03ecb411e27 Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/_elffile.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/_manylinux.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/_manylinux.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..570103b1fb46f10a7b74d6c33f588e171ced7006 Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/_manylinux.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/_musllinux.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/_musllinux.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..bfc87e4ef7e66da8898320e49a01cb84c66fe85c Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/_musllinux.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/_parser.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/_parser.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..76d82bb0849927c802677dc43119e1487db2e0f6 Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/_parser.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/_structures.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/_structures.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..6b4e1868a8854cee8339e54c2cb3b61db76a5698 Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/_structures.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/_tokenizer.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/_tokenizer.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..267dfe3590c36d1d27547106f2a8a48dfc2385eb Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/_tokenizer.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/markers.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/markers.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..802f75911a36a3e3198db4e2d681e52ecbbd5d34 Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/markers.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/metadata.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/metadata.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..1417eeb0926d650b5ef7729e49f80cad58465317 Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/metadata.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/requirements.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/requirements.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..c2b6dd1e4a8b72f4463aeb948c7eda25b5eea957 Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/requirements.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/specifiers.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/specifiers.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..14971a30ef5014cf057246ca014eb6acf5e96647 Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/specifiers.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/tags.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/tags.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..a39d0a0ff5884d3362bdda0d9b3cb23c93114c01 Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/tags.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/utils.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/utils.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ff285f3e0a0ac25952880edfdb7720b9f7175a99 Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/utils.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/version.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/version.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..fbce5e177defcbd5c473c106e8ed9d30917b9911 Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/packaging/__pycache__/version.cpython-310.pyc differ diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/_elffile.py b/env-llmeval/lib/python3.10/site-packages/packaging/_elffile.py new file mode 100644 index 0000000000000000000000000000000000000000..6fb19b30bb53c18f38a9ef02dd7c4478670fb962 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/packaging/_elffile.py @@ -0,0 +1,108 @@ +""" +ELF file parser. + +This provides a class ``ELFFile`` that parses an ELF executable in a similar +interface to ``ZipFile``. Only the read interface is implemented. + +Based on: https://gist.github.com/lyssdod/f51579ae8d93c8657a5564aefc2ffbca +ELF header: https://refspecs.linuxfoundation.org/elf/gabi4+/ch4.eheader.html +""" + +import enum +import os +import struct +from typing import IO, Optional, Tuple + + +class ELFInvalid(ValueError): + pass + + +class EIClass(enum.IntEnum): + C32 = 1 + C64 = 2 + + +class EIData(enum.IntEnum): + Lsb = 1 + Msb = 2 + + +class EMachine(enum.IntEnum): + I386 = 3 + S390 = 22 + Arm = 40 + X8664 = 62 + AArc64 = 183 + + +class ELFFile: + """ + Representation of an ELF executable. + """ + + def __init__(self, f: IO[bytes]) -> None: + self._f = f + + try: + ident = self._read("16B") + except struct.error: + raise ELFInvalid("unable to parse identification") + magic = bytes(ident[:4]) + if magic != b"\x7fELF": + raise ELFInvalid(f"invalid magic: {magic!r}") + + self.capacity = ident[4] # Format for program header (bitness). + self.encoding = ident[5] # Data structure encoding (endianness). + + try: + # e_fmt: Format for program header. + # p_fmt: Format for section header. + # p_idx: Indexes to find p_type, p_offset, and p_filesz. + e_fmt, self._p_fmt, self._p_idx = { + (1, 1): ("HHIIIIIHHH", ">IIIIIIII", (0, 1, 4)), # 32-bit MSB. + (2, 1): ("HHIQQQIHHH", ">IIQQQQQQ", (0, 2, 5)), # 64-bit MSB. + }[(self.capacity, self.encoding)] + except KeyError: + raise ELFInvalid( + f"unrecognized capacity ({self.capacity}) or " + f"encoding ({self.encoding})" + ) + + try: + ( + _, + self.machine, # Architecture type. + _, + _, + self._e_phoff, # Offset of program header. + _, + self.flags, # Processor-specific flags. + _, + self._e_phentsize, # Size of section. + self._e_phnum, # Number of sections. + ) = self._read(e_fmt) + except struct.error as e: + raise ELFInvalid("unable to parse machine and section information") from e + + def _read(self, fmt: str) -> Tuple[int, ...]: + return struct.unpack(fmt, self._f.read(struct.calcsize(fmt))) + + @property + def interpreter(self) -> Optional[str]: + """ + The path recorded in the ``PT_INTERP`` section header. + """ + for index in range(self._e_phnum): + self._f.seek(self._e_phoff + self._e_phentsize * index) + try: + data = self._read(self._p_fmt) + except struct.error: + continue + if data[self._p_idx[0]] != 3: # Not PT_INTERP. + continue + self._f.seek(data[self._p_idx[1]]) + return os.fsdecode(self._f.read(data[self._p_idx[2]])).strip("\0") + return None diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/_manylinux.py b/env-llmeval/lib/python3.10/site-packages/packaging/_manylinux.py new file mode 100644 index 0000000000000000000000000000000000000000..ad62505f3ff66c3d4da07ce1f2a50d9f10bc1bdd --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/packaging/_manylinux.py @@ -0,0 +1,260 @@ +import collections +import contextlib +import functools +import os +import re +import sys +import warnings +from typing import Dict, Generator, Iterator, NamedTuple, Optional, Sequence, Tuple + +from ._elffile import EIClass, EIData, ELFFile, EMachine + +EF_ARM_ABIMASK = 0xFF000000 +EF_ARM_ABI_VER5 = 0x05000000 +EF_ARM_ABI_FLOAT_HARD = 0x00000400 + + +# `os.PathLike` not a generic type until Python 3.9, so sticking with `str` +# as the type for `path` until then. +@contextlib.contextmanager +def _parse_elf(path: str) -> Generator[Optional[ELFFile], None, None]: + try: + with open(path, "rb") as f: + yield ELFFile(f) + except (OSError, TypeError, ValueError): + yield None + + +def _is_linux_armhf(executable: str) -> bool: + # hard-float ABI can be detected from the ELF header of the running + # process + # https://static.docs.arm.com/ihi0044/g/aaelf32.pdf + with _parse_elf(executable) as f: + return ( + f is not None + and f.capacity == EIClass.C32 + and f.encoding == EIData.Lsb + and f.machine == EMachine.Arm + and f.flags & EF_ARM_ABIMASK == EF_ARM_ABI_VER5 + and f.flags & EF_ARM_ABI_FLOAT_HARD == EF_ARM_ABI_FLOAT_HARD + ) + + +def _is_linux_i686(executable: str) -> bool: + with _parse_elf(executable) as f: + return ( + f is not None + and f.capacity == EIClass.C32 + and f.encoding == EIData.Lsb + and f.machine == EMachine.I386 + ) + + +def _have_compatible_abi(executable: str, archs: Sequence[str]) -> bool: + if "armv7l" in archs: + return _is_linux_armhf(executable) + if "i686" in archs: + return _is_linux_i686(executable) + allowed_archs = { + "x86_64", + "aarch64", + "ppc64", + "ppc64le", + "s390x", + "loongarch64", + "riscv64", + } + return any(arch in allowed_archs for arch in archs) + + +# If glibc ever changes its major version, we need to know what the last +# minor version was, so we can build the complete list of all versions. +# For now, guess what the highest minor version might be, assume it will +# be 50 for testing. Once this actually happens, update the dictionary +# with the actual value. +_LAST_GLIBC_MINOR: Dict[int, int] = collections.defaultdict(lambda: 50) + + +class _GLibCVersion(NamedTuple): + major: int + minor: int + + +def _glibc_version_string_confstr() -> Optional[str]: + """ + Primary implementation of glibc_version_string using os.confstr. + """ + # os.confstr is quite a bit faster than ctypes.DLL. It's also less likely + # to be broken or missing. This strategy is used in the standard library + # platform module. + # https://github.com/python/cpython/blob/fcf1d003bf4f0100c/Lib/platform.py#L175-L183 + try: + # Should be a string like "glibc 2.17". + version_string: Optional[str] = os.confstr("CS_GNU_LIBC_VERSION") + assert version_string is not None + _, version = version_string.rsplit() + except (AssertionError, AttributeError, OSError, ValueError): + # os.confstr() or CS_GNU_LIBC_VERSION not available (or a bad value)... + return None + return version + + +def _glibc_version_string_ctypes() -> Optional[str]: + """ + Fallback implementation of glibc_version_string using ctypes. + """ + try: + import ctypes + except ImportError: + return None + + # ctypes.CDLL(None) internally calls dlopen(NULL), and as the dlopen + # manpage says, "If filename is NULL, then the returned handle is for the + # main program". This way we can let the linker do the work to figure out + # which libc our process is actually using. + # + # We must also handle the special case where the executable is not a + # dynamically linked executable. This can occur when using musl libc, + # for example. In this situation, dlopen() will error, leading to an + # OSError. Interestingly, at least in the case of musl, there is no + # errno set on the OSError. The single string argument used to construct + # OSError comes from libc itself and is therefore not portable to + # hard code here. In any case, failure to call dlopen() means we + # can proceed, so we bail on our attempt. + try: + process_namespace = ctypes.CDLL(None) + except OSError: + return None + + try: + gnu_get_libc_version = process_namespace.gnu_get_libc_version + except AttributeError: + # Symbol doesn't exist -> therefore, we are not linked to + # glibc. + return None + + # Call gnu_get_libc_version, which returns a string like "2.5" + gnu_get_libc_version.restype = ctypes.c_char_p + version_str: str = gnu_get_libc_version() + # py2 / py3 compatibility: + if not isinstance(version_str, str): + version_str = version_str.decode("ascii") + + return version_str + + +def _glibc_version_string() -> Optional[str]: + """Returns glibc version string, or None if not using glibc.""" + return _glibc_version_string_confstr() or _glibc_version_string_ctypes() + + +def _parse_glibc_version(version_str: str) -> Tuple[int, int]: + """Parse glibc version. + + We use a regexp instead of str.split because we want to discard any + random junk that might come after the minor version -- this might happen + in patched/forked versions of glibc (e.g. Linaro's version of glibc + uses version strings like "2.20-2014.11"). See gh-3588. + """ + m = re.match(r"(?P[0-9]+)\.(?P[0-9]+)", version_str) + if not m: + warnings.warn( + f"Expected glibc version with 2 components major.minor," + f" got: {version_str}", + RuntimeWarning, + ) + return -1, -1 + return int(m.group("major")), int(m.group("minor")) + + +@functools.lru_cache() +def _get_glibc_version() -> Tuple[int, int]: + version_str = _glibc_version_string() + if version_str is None: + return (-1, -1) + return _parse_glibc_version(version_str) + + +# From PEP 513, PEP 600 +def _is_compatible(arch: str, version: _GLibCVersion) -> bool: + sys_glibc = _get_glibc_version() + if sys_glibc < version: + return False + # Check for presence of _manylinux module. + try: + import _manylinux + except ImportError: + return True + if hasattr(_manylinux, "manylinux_compatible"): + result = _manylinux.manylinux_compatible(version[0], version[1], arch) + if result is not None: + return bool(result) + return True + if version == _GLibCVersion(2, 5): + if hasattr(_manylinux, "manylinux1_compatible"): + return bool(_manylinux.manylinux1_compatible) + if version == _GLibCVersion(2, 12): + if hasattr(_manylinux, "manylinux2010_compatible"): + return bool(_manylinux.manylinux2010_compatible) + if version == _GLibCVersion(2, 17): + if hasattr(_manylinux, "manylinux2014_compatible"): + return bool(_manylinux.manylinux2014_compatible) + return True + + +_LEGACY_MANYLINUX_MAP = { + # CentOS 7 w/ glibc 2.17 (PEP 599) + (2, 17): "manylinux2014", + # CentOS 6 w/ glibc 2.12 (PEP 571) + (2, 12): "manylinux2010", + # CentOS 5 w/ glibc 2.5 (PEP 513) + (2, 5): "manylinux1", +} + + +def platform_tags(archs: Sequence[str]) -> Iterator[str]: + """Generate manylinux tags compatible to the current platform. + + :param archs: Sequence of compatible architectures. + The first one shall be the closest to the actual architecture and be the part of + platform tag after the ``linux_`` prefix, e.g. ``x86_64``. + The ``linux_`` prefix is assumed as a prerequisite for the current platform to + be manylinux-compatible. + + :returns: An iterator of compatible manylinux tags. + """ + if not _have_compatible_abi(sys.executable, archs): + return + # Oldest glibc to be supported regardless of architecture is (2, 17). + too_old_glibc2 = _GLibCVersion(2, 16) + if set(archs) & {"x86_64", "i686"}: + # On x86/i686 also oldest glibc to be supported is (2, 5). + too_old_glibc2 = _GLibCVersion(2, 4) + current_glibc = _GLibCVersion(*_get_glibc_version()) + glibc_max_list = [current_glibc] + # We can assume compatibility across glibc major versions. + # https://sourceware.org/bugzilla/show_bug.cgi?id=24636 + # + # Build a list of maximum glibc versions so that we can + # output the canonical list of all glibc from current_glibc + # down to too_old_glibc2, including all intermediary versions. + for glibc_major in range(current_glibc.major - 1, 1, -1): + glibc_minor = _LAST_GLIBC_MINOR[glibc_major] + glibc_max_list.append(_GLibCVersion(glibc_major, glibc_minor)) + for arch in archs: + for glibc_max in glibc_max_list: + if glibc_max.major == too_old_glibc2.major: + min_minor = too_old_glibc2.minor + else: + # For other glibc major versions oldest supported is (x, 0). + min_minor = -1 + for glibc_minor in range(glibc_max.minor, min_minor, -1): + glibc_version = _GLibCVersion(glibc_max.major, glibc_minor) + tag = "manylinux_{}_{}".format(*glibc_version) + if _is_compatible(arch, glibc_version): + yield f"{tag}_{arch}" + # Handle the legacy manylinux1, manylinux2010, manylinux2014 tags. + if glibc_version in _LEGACY_MANYLINUX_MAP: + legacy_tag = _LEGACY_MANYLINUX_MAP[glibc_version] + if _is_compatible(arch, glibc_version): + yield f"{legacy_tag}_{arch}" diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/_musllinux.py b/env-llmeval/lib/python3.10/site-packages/packaging/_musllinux.py new file mode 100644 index 0000000000000000000000000000000000000000..86419df9d7087f3f8b6d0096f32a52c24b05e7c1 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/packaging/_musllinux.py @@ -0,0 +1,83 @@ +"""PEP 656 support. + +This module implements logic to detect if the currently running Python is +linked against musl, and what musl version is used. +""" + +import functools +import re +import subprocess +import sys +from typing import Iterator, NamedTuple, Optional, Sequence + +from ._elffile import ELFFile + + +class _MuslVersion(NamedTuple): + major: int + minor: int + + +def _parse_musl_version(output: str) -> Optional[_MuslVersion]: + lines = [n for n in (n.strip() for n in output.splitlines()) if n] + if len(lines) < 2 or lines[0][:4] != "musl": + return None + m = re.match(r"Version (\d+)\.(\d+)", lines[1]) + if not m: + return None + return _MuslVersion(major=int(m.group(1)), minor=int(m.group(2))) + + +@functools.lru_cache() +def _get_musl_version(executable: str) -> Optional[_MuslVersion]: + """Detect currently-running musl runtime version. + + This is done by checking the specified executable's dynamic linking + information, and invoking the loader to parse its output for a version + string. If the loader is musl, the output would be something like:: + + musl libc (x86_64) + Version 1.2.2 + Dynamic Program Loader + """ + try: + with open(executable, "rb") as f: + ld = ELFFile(f).interpreter + except (OSError, TypeError, ValueError): + return None + if ld is None or "musl" not in ld: + return None + proc = subprocess.run([ld], stderr=subprocess.PIPE, text=True) + return _parse_musl_version(proc.stderr) + + +def platform_tags(archs: Sequence[str]) -> Iterator[str]: + """Generate musllinux tags compatible to the current platform. + + :param archs: Sequence of compatible architectures. + The first one shall be the closest to the actual architecture and be the part of + platform tag after the ``linux_`` prefix, e.g. ``x86_64``. + The ``linux_`` prefix is assumed as a prerequisite for the current platform to + be musllinux-compatible. + + :returns: An iterator of compatible musllinux tags. + """ + sys_musl = _get_musl_version(sys.executable) + if sys_musl is None: # Python not dynamically linked against musl. + return + for arch in archs: + for minor in range(sys_musl.minor, -1, -1): + yield f"musllinux_{sys_musl.major}_{minor}_{arch}" + + +if __name__ == "__main__": # pragma: no cover + import sysconfig + + plat = sysconfig.get_platform() + assert plat.startswith("linux-"), "not linux" + + print("plat:", plat) + print("musl:", _get_musl_version(sys.executable)) + print("tags:", end=" ") + for t in platform_tags(re.sub(r"[.-]", "_", plat.split("-", 1)[-1])): + print(t, end="\n ") diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/_structures.py b/env-llmeval/lib/python3.10/site-packages/packaging/_structures.py new file mode 100644 index 0000000000000000000000000000000000000000..90a6465f9682c886363eea5327dac64bf623a6ff --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/packaging/_structures.py @@ -0,0 +1,61 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. + + +class InfinityType: + def __repr__(self) -> str: + return "Infinity" + + def __hash__(self) -> int: + return hash(repr(self)) + + def __lt__(self, other: object) -> bool: + return False + + def __le__(self, other: object) -> bool: + return False + + def __eq__(self, other: object) -> bool: + return isinstance(other, self.__class__) + + def __gt__(self, other: object) -> bool: + return True + + def __ge__(self, other: object) -> bool: + return True + + def __neg__(self: object) -> "NegativeInfinityType": + return NegativeInfinity + + +Infinity = InfinityType() + + +class NegativeInfinityType: + def __repr__(self) -> str: + return "-Infinity" + + def __hash__(self) -> int: + return hash(repr(self)) + + def __lt__(self, other: object) -> bool: + return True + + def __le__(self, other: object) -> bool: + return True + + def __eq__(self, other: object) -> bool: + return isinstance(other, self.__class__) + + def __gt__(self, other: object) -> bool: + return False + + def __ge__(self, other: object) -> bool: + return False + + def __neg__(self: object) -> InfinityType: + return Infinity + + +NegativeInfinity = NegativeInfinityType() diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/_tokenizer.py b/env-llmeval/lib/python3.10/site-packages/packaging/_tokenizer.py new file mode 100644 index 0000000000000000000000000000000000000000..dd0d648d49a7c1a62d25ce5c9107aa448a8a22d1 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/packaging/_tokenizer.py @@ -0,0 +1,192 @@ +import contextlib +import re +from dataclasses import dataclass +from typing import Dict, Iterator, NoReturn, Optional, Tuple, Union + +from .specifiers import Specifier + + +@dataclass +class Token: + name: str + text: str + position: int + + +class ParserSyntaxError(Exception): + """The provided source text could not be parsed correctly.""" + + def __init__( + self, + message: str, + *, + source: str, + span: Tuple[int, int], + ) -> None: + self.span = span + self.message = message + self.source = source + + super().__init__() + + def __str__(self) -> str: + marker = " " * self.span[0] + "~" * (self.span[1] - self.span[0]) + "^" + return "\n ".join([self.message, self.source, marker]) + + +DEFAULT_RULES: "Dict[str, Union[str, re.Pattern[str]]]" = { + "LEFT_PARENTHESIS": r"\(", + "RIGHT_PARENTHESIS": r"\)", + "LEFT_BRACKET": r"\[", + "RIGHT_BRACKET": r"\]", + "SEMICOLON": r";", + "COMMA": r",", + "QUOTED_STRING": re.compile( + r""" + ( + ('[^']*') + | + ("[^"]*") + ) + """, + re.VERBOSE, + ), + "OP": r"(===|==|~=|!=|<=|>=|<|>)", + "BOOLOP": r"\b(or|and)\b", + "IN": r"\bin\b", + "NOT": r"\bnot\b", + "VARIABLE": re.compile( + r""" + \b( + python_version + |python_full_version + |os[._]name + |sys[._]platform + |platform_(release|system) + |platform[._](version|machine|python_implementation) + |python_implementation + |implementation_(name|version) + |extra + )\b + """, + re.VERBOSE, + ), + "SPECIFIER": re.compile( + Specifier._operator_regex_str + Specifier._version_regex_str, + re.VERBOSE | re.IGNORECASE, + ), + "AT": r"\@", + "URL": r"[^ \t]+", + "IDENTIFIER": r"\b[a-zA-Z0-9][a-zA-Z0-9._-]*\b", + "VERSION_PREFIX_TRAIL": r"\.\*", + "VERSION_LOCAL_LABEL_TRAIL": r"\+[a-z0-9]+(?:[-_\.][a-z0-9]+)*", + "WS": r"[ \t]+", + "END": r"$", +} + + +class Tokenizer: + """Context-sensitive token parsing. + + Provides methods to examine the input stream to check whether the next token + matches. + """ + + def __init__( + self, + source: str, + *, + rules: "Dict[str, Union[str, re.Pattern[str]]]", + ) -> None: + self.source = source + self.rules: Dict[str, re.Pattern[str]] = { + name: re.compile(pattern) for name, pattern in rules.items() + } + self.next_token: Optional[Token] = None + self.position = 0 + + def consume(self, name: str) -> None: + """Move beyond provided token name, if at current position.""" + if self.check(name): + self.read() + + def check(self, name: str, *, peek: bool = False) -> bool: + """Check whether the next token has the provided name. + + By default, if the check succeeds, the token *must* be read before + another check. If `peek` is set to `True`, the token is not loaded and + would need to be checked again. + """ + assert ( + self.next_token is None + ), f"Cannot check for {name!r}, already have {self.next_token!r}" + assert name in self.rules, f"Unknown token name: {name!r}" + + expression = self.rules[name] + + match = expression.match(self.source, self.position) + if match is None: + return False + if not peek: + self.next_token = Token(name, match[0], self.position) + return True + + def expect(self, name: str, *, expected: str) -> Token: + """Expect a certain token name next, failing with a syntax error otherwise. + + The token is *not* read. + """ + if not self.check(name): + raise self.raise_syntax_error(f"Expected {expected}") + return self.read() + + def read(self) -> Token: + """Consume the next token and return it.""" + token = self.next_token + assert token is not None + + self.position += len(token.text) + self.next_token = None + + return token + + def raise_syntax_error( + self, + message: str, + *, + span_start: Optional[int] = None, + span_end: Optional[int] = None, + ) -> NoReturn: + """Raise ParserSyntaxError at the given position.""" + span = ( + self.position if span_start is None else span_start, + self.position if span_end is None else span_end, + ) + raise ParserSyntaxError( + message, + source=self.source, + span=span, + ) + + @contextlib.contextmanager + def enclosing_tokens( + self, open_token: str, close_token: str, *, around: str + ) -> Iterator[None]: + if self.check(open_token): + open_position = self.position + self.read() + else: + open_position = None + + yield + + if open_position is None: + return + + if not self.check(close_token): + self.raise_syntax_error( + f"Expected matching {close_token} for {open_token}, after {around}", + span_start=open_position, + ) + + self.read() diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/markers.py b/env-llmeval/lib/python3.10/site-packages/packaging/markers.py new file mode 100644 index 0000000000000000000000000000000000000000..8b98fca7233be6dd9324cd2b6d71b6a8ac91a6cb --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/packaging/markers.py @@ -0,0 +1,252 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. + +import operator +import os +import platform +import sys +from typing import Any, Callable, Dict, List, Optional, Tuple, Union + +from ._parser import ( + MarkerAtom, + MarkerList, + Op, + Value, + Variable, + parse_marker as _parse_marker, +) +from ._tokenizer import ParserSyntaxError +from .specifiers import InvalidSpecifier, Specifier +from .utils import canonicalize_name + +__all__ = [ + "InvalidMarker", + "UndefinedComparison", + "UndefinedEnvironmentName", + "Marker", + "default_environment", +] + +Operator = Callable[[str, str], bool] + + +class InvalidMarker(ValueError): + """ + An invalid marker was found, users should refer to PEP 508. + """ + + +class UndefinedComparison(ValueError): + """ + An invalid operation was attempted on a value that doesn't support it. + """ + + +class UndefinedEnvironmentName(ValueError): + """ + A name was attempted to be used that does not exist inside of the + environment. + """ + + +def _normalize_extra_values(results: Any) -> Any: + """ + Normalize extra values. + """ + if isinstance(results[0], tuple): + lhs, op, rhs = results[0] + if isinstance(lhs, Variable) and lhs.value == "extra": + normalized_extra = canonicalize_name(rhs.value) + rhs = Value(normalized_extra) + elif isinstance(rhs, Variable) and rhs.value == "extra": + normalized_extra = canonicalize_name(lhs.value) + lhs = Value(normalized_extra) + results[0] = lhs, op, rhs + return results + + +def _format_marker( + marker: Union[List[str], MarkerAtom, str], first: Optional[bool] = True +) -> str: + + assert isinstance(marker, (list, tuple, str)) + + # Sometimes we have a structure like [[...]] which is a single item list + # where the single item is itself it's own list. In that case we want skip + # the rest of this function so that we don't get extraneous () on the + # outside. + if ( + isinstance(marker, list) + and len(marker) == 1 + and isinstance(marker[0], (list, tuple)) + ): + return _format_marker(marker[0]) + + if isinstance(marker, list): + inner = (_format_marker(m, first=False) for m in marker) + if first: + return " ".join(inner) + else: + return "(" + " ".join(inner) + ")" + elif isinstance(marker, tuple): + return " ".join([m.serialize() for m in marker]) + else: + return marker + + +_operators: Dict[str, Operator] = { + "in": lambda lhs, rhs: lhs in rhs, + "not in": lambda lhs, rhs: lhs not in rhs, + "<": operator.lt, + "<=": operator.le, + "==": operator.eq, + "!=": operator.ne, + ">=": operator.ge, + ">": operator.gt, +} + + +def _eval_op(lhs: str, op: Op, rhs: str) -> bool: + try: + spec = Specifier("".join([op.serialize(), rhs])) + except InvalidSpecifier: + pass + else: + return spec.contains(lhs, prereleases=True) + + oper: Optional[Operator] = _operators.get(op.serialize()) + if oper is None: + raise UndefinedComparison(f"Undefined {op!r} on {lhs!r} and {rhs!r}.") + + return oper(lhs, rhs) + + +def _normalize(*values: str, key: str) -> Tuple[str, ...]: + # PEP 685 – Comparison of extra names for optional distribution dependencies + # https://peps.python.org/pep-0685/ + # > When comparing extra names, tools MUST normalize the names being + # > compared using the semantics outlined in PEP 503 for names + if key == "extra": + return tuple(canonicalize_name(v) for v in values) + + # other environment markers don't have such standards + return values + + +def _evaluate_markers(markers: MarkerList, environment: Dict[str, str]) -> bool: + groups: List[List[bool]] = [[]] + + for marker in markers: + assert isinstance(marker, (list, tuple, str)) + + if isinstance(marker, list): + groups[-1].append(_evaluate_markers(marker, environment)) + elif isinstance(marker, tuple): + lhs, op, rhs = marker + + if isinstance(lhs, Variable): + environment_key = lhs.value + lhs_value = environment[environment_key] + rhs_value = rhs.value + else: + lhs_value = lhs.value + environment_key = rhs.value + rhs_value = environment[environment_key] + + lhs_value, rhs_value = _normalize(lhs_value, rhs_value, key=environment_key) + groups[-1].append(_eval_op(lhs_value, op, rhs_value)) + else: + assert marker in ["and", "or"] + if marker == "or": + groups.append([]) + + return any(all(item) for item in groups) + + +def format_full_version(info: "sys._version_info") -> str: + version = "{0.major}.{0.minor}.{0.micro}".format(info) + kind = info.releaselevel + if kind != "final": + version += kind[0] + str(info.serial) + return version + + +def default_environment() -> Dict[str, str]: + iver = format_full_version(sys.implementation.version) + implementation_name = sys.implementation.name + return { + "implementation_name": implementation_name, + "implementation_version": iver, + "os_name": os.name, + "platform_machine": platform.machine(), + "platform_release": platform.release(), + "platform_system": platform.system(), + "platform_version": platform.version(), + "python_full_version": platform.python_version(), + "platform_python_implementation": platform.python_implementation(), + "python_version": ".".join(platform.python_version_tuple()[:2]), + "sys_platform": sys.platform, + } + + +class Marker: + def __init__(self, marker: str) -> None: + # Note: We create a Marker object without calling this constructor in + # packaging.requirements.Requirement. If any additional logic is + # added here, make sure to mirror/adapt Requirement. + try: + self._markers = _normalize_extra_values(_parse_marker(marker)) + # The attribute `_markers` can be described in terms of a recursive type: + # MarkerList = List[Union[Tuple[Node, ...], str, MarkerList]] + # + # For example, the following expression: + # python_version > "3.6" or (python_version == "3.6" and os_name == "unix") + # + # is parsed into: + # [ + # (, ')>, ), + # 'and', + # [ + # (, , ), + # 'or', + # (, , ) + # ] + # ] + except ParserSyntaxError as e: + raise InvalidMarker(str(e)) from e + + def __str__(self) -> str: + return _format_marker(self._markers) + + def __repr__(self) -> str: + return f"" + + def __hash__(self) -> int: + return hash((self.__class__.__name__, str(self))) + + def __eq__(self, other: Any) -> bool: + if not isinstance(other, Marker): + return NotImplemented + + return str(self) == str(other) + + def evaluate(self, environment: Optional[Dict[str, str]] = None) -> bool: + """Evaluate a marker. + + Return the boolean from evaluating the given marker against the + environment. environment is an optional argument to override all or + part of the determined environment. + + The environment is determined from the current Python process. + """ + current_environment = default_environment() + current_environment["extra"] = "" + if environment is not None: + current_environment.update(environment) + # The API used to allow setting extra to None. We need to handle this + # case for backwards compatibility. + if current_environment["extra"] is None: + current_environment["extra"] = "" + + return _evaluate_markers(self._markers, current_environment) diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/metadata.py b/env-llmeval/lib/python3.10/site-packages/packaging/metadata.py new file mode 100644 index 0000000000000000000000000000000000000000..fb274930799da0f8ee17566b5b587b4047282c7b --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/packaging/metadata.py @@ -0,0 +1,825 @@ +import email.feedparser +import email.header +import email.message +import email.parser +import email.policy +import sys +import typing +from typing import ( + Any, + Callable, + Dict, + Generic, + List, + Optional, + Tuple, + Type, + Union, + cast, +) + +from . import requirements, specifiers, utils, version as version_module + +T = typing.TypeVar("T") +if sys.version_info[:2] >= (3, 8): # pragma: no cover + from typing import Literal, TypedDict +else: # pragma: no cover + if typing.TYPE_CHECKING: + from typing_extensions import Literal, TypedDict + else: + try: + from typing_extensions import Literal, TypedDict + except ImportError: + + class Literal: + def __init_subclass__(*_args, **_kwargs): + pass + + class TypedDict: + def __init_subclass__(*_args, **_kwargs): + pass + + +try: + ExceptionGroup +except NameError: # pragma: no cover + + class ExceptionGroup(Exception): # noqa: N818 + """A minimal implementation of :external:exc:`ExceptionGroup` from Python 3.11. + + If :external:exc:`ExceptionGroup` is already defined by Python itself, + that version is used instead. + """ + + message: str + exceptions: List[Exception] + + def __init__(self, message: str, exceptions: List[Exception]) -> None: + self.message = message + self.exceptions = exceptions + + def __repr__(self) -> str: + return f"{self.__class__.__name__}({self.message!r}, {self.exceptions!r})" + +else: # pragma: no cover + ExceptionGroup = ExceptionGroup + + +class InvalidMetadata(ValueError): + """A metadata field contains invalid data.""" + + field: str + """The name of the field that contains invalid data.""" + + def __init__(self, field: str, message: str) -> None: + self.field = field + super().__init__(message) + + +# The RawMetadata class attempts to make as few assumptions about the underlying +# serialization formats as possible. The idea is that as long as a serialization +# formats offer some very basic primitives in *some* way then we can support +# serializing to and from that format. +class RawMetadata(TypedDict, total=False): + """A dictionary of raw core metadata. + + Each field in core metadata maps to a key of this dictionary (when data is + provided). The key is lower-case and underscores are used instead of dashes + compared to the equivalent core metadata field. Any core metadata field that + can be specified multiple times or can hold multiple values in a single + field have a key with a plural name. See :class:`Metadata` whose attributes + match the keys of this dictionary. + + Core metadata fields that can be specified multiple times are stored as a + list or dict depending on which is appropriate for the field. Any fields + which hold multiple values in a single field are stored as a list. + + """ + + # Metadata 1.0 - PEP 241 + metadata_version: str + name: str + version: str + platforms: List[str] + summary: str + description: str + keywords: List[str] + home_page: str + author: str + author_email: str + license: str + + # Metadata 1.1 - PEP 314 + supported_platforms: List[str] + download_url: str + classifiers: List[str] + requires: List[str] + provides: List[str] + obsoletes: List[str] + + # Metadata 1.2 - PEP 345 + maintainer: str + maintainer_email: str + requires_dist: List[str] + provides_dist: List[str] + obsoletes_dist: List[str] + requires_python: str + requires_external: List[str] + project_urls: Dict[str, str] + + # Metadata 2.0 + # PEP 426 attempted to completely revamp the metadata format + # but got stuck without ever being able to build consensus on + # it and ultimately ended up withdrawn. + # + # However, a number of tools had started emitting METADATA with + # `2.0` Metadata-Version, so for historical reasons, this version + # was skipped. + + # Metadata 2.1 - PEP 566 + description_content_type: str + provides_extra: List[str] + + # Metadata 2.2 - PEP 643 + dynamic: List[str] + + # Metadata 2.3 - PEP 685 + # No new fields were added in PEP 685, just some edge case were + # tightened up to provide better interoptability. + + +_STRING_FIELDS = { + "author", + "author_email", + "description", + "description_content_type", + "download_url", + "home_page", + "license", + "maintainer", + "maintainer_email", + "metadata_version", + "name", + "requires_python", + "summary", + "version", +} + +_LIST_FIELDS = { + "classifiers", + "dynamic", + "obsoletes", + "obsoletes_dist", + "platforms", + "provides", + "provides_dist", + "provides_extra", + "requires", + "requires_dist", + "requires_external", + "supported_platforms", +} + +_DICT_FIELDS = { + "project_urls", +} + + +def _parse_keywords(data: str) -> List[str]: + """Split a string of comma-separate keyboards into a list of keywords.""" + return [k.strip() for k in data.split(",")] + + +def _parse_project_urls(data: List[str]) -> Dict[str, str]: + """Parse a list of label/URL string pairings separated by a comma.""" + urls = {} + for pair in data: + # Our logic is slightly tricky here as we want to try and do + # *something* reasonable with malformed data. + # + # The main thing that we have to worry about, is data that does + # not have a ',' at all to split the label from the Value. There + # isn't a singular right answer here, and we will fail validation + # later on (if the caller is validating) so it doesn't *really* + # matter, but since the missing value has to be an empty str + # and our return value is dict[str, str], if we let the key + # be the missing value, then they'd have multiple '' values that + # overwrite each other in a accumulating dict. + # + # The other potentional issue is that it's possible to have the + # same label multiple times in the metadata, with no solid "right" + # answer with what to do in that case. As such, we'll do the only + # thing we can, which is treat the field as unparseable and add it + # to our list of unparsed fields. + parts = [p.strip() for p in pair.split(",", 1)] + parts.extend([""] * (max(0, 2 - len(parts)))) # Ensure 2 items + + # TODO: The spec doesn't say anything about if the keys should be + # considered case sensitive or not... logically they should + # be case-preserving and case-insensitive, but doing that + # would open up more cases where we might have duplicate + # entries. + label, url = parts + if label in urls: + # The label already exists in our set of urls, so this field + # is unparseable, and we can just add the whole thing to our + # unparseable data and stop processing it. + raise KeyError("duplicate labels in project urls") + urls[label] = url + + return urls + + +def _get_payload(msg: email.message.Message, source: Union[bytes, str]) -> str: + """Get the body of the message.""" + # If our source is a str, then our caller has managed encodings for us, + # and we don't need to deal with it. + if isinstance(source, str): + payload: str = msg.get_payload() + return payload + # If our source is a bytes, then we're managing the encoding and we need + # to deal with it. + else: + bpayload: bytes = msg.get_payload(decode=True) + try: + return bpayload.decode("utf8", "strict") + except UnicodeDecodeError: + raise ValueError("payload in an invalid encoding") + + +# The various parse_FORMAT functions here are intended to be as lenient as +# possible in their parsing, while still returning a correctly typed +# RawMetadata. +# +# To aid in this, we also generally want to do as little touching of the +# data as possible, except where there are possibly some historic holdovers +# that make valid data awkward to work with. +# +# While this is a lower level, intermediate format than our ``Metadata`` +# class, some light touch ups can make a massive difference in usability. + +# Map METADATA fields to RawMetadata. +_EMAIL_TO_RAW_MAPPING = { + "author": "author", + "author-email": "author_email", + "classifier": "classifiers", + "description": "description", + "description-content-type": "description_content_type", + "download-url": "download_url", + "dynamic": "dynamic", + "home-page": "home_page", + "keywords": "keywords", + "license": "license", + "maintainer": "maintainer", + "maintainer-email": "maintainer_email", + "metadata-version": "metadata_version", + "name": "name", + "obsoletes": "obsoletes", + "obsoletes-dist": "obsoletes_dist", + "platform": "platforms", + "project-url": "project_urls", + "provides": "provides", + "provides-dist": "provides_dist", + "provides-extra": "provides_extra", + "requires": "requires", + "requires-dist": "requires_dist", + "requires-external": "requires_external", + "requires-python": "requires_python", + "summary": "summary", + "supported-platform": "supported_platforms", + "version": "version", +} +_RAW_TO_EMAIL_MAPPING = {raw: email for email, raw in _EMAIL_TO_RAW_MAPPING.items()} + + +def parse_email(data: Union[bytes, str]) -> Tuple[RawMetadata, Dict[str, List[str]]]: + """Parse a distribution's metadata stored as email headers (e.g. from ``METADATA``). + + This function returns a two-item tuple of dicts. The first dict is of + recognized fields from the core metadata specification. Fields that can be + parsed and translated into Python's built-in types are converted + appropriately. All other fields are left as-is. Fields that are allowed to + appear multiple times are stored as lists. + + The second dict contains all other fields from the metadata. This includes + any unrecognized fields. It also includes any fields which are expected to + be parsed into a built-in type but were not formatted appropriately. Finally, + any fields that are expected to appear only once but are repeated are + included in this dict. + + """ + raw: Dict[str, Union[str, List[str], Dict[str, str]]] = {} + unparsed: Dict[str, List[str]] = {} + + if isinstance(data, str): + parsed = email.parser.Parser(policy=email.policy.compat32).parsestr(data) + else: + parsed = email.parser.BytesParser(policy=email.policy.compat32).parsebytes(data) + + # We have to wrap parsed.keys() in a set, because in the case of multiple + # values for a key (a list), the key will appear multiple times in the + # list of keys, but we're avoiding that by using get_all(). + for name in frozenset(parsed.keys()): + # Header names in RFC are case insensitive, so we'll normalize to all + # lower case to make comparisons easier. + name = name.lower() + + # We use get_all() here, even for fields that aren't multiple use, + # because otherwise someone could have e.g. two Name fields, and we + # would just silently ignore it rather than doing something about it. + headers = parsed.get_all(name) or [] + + # The way the email module works when parsing bytes is that it + # unconditionally decodes the bytes as ascii using the surrogateescape + # handler. When you pull that data back out (such as with get_all() ), + # it looks to see if the str has any surrogate escapes, and if it does + # it wraps it in a Header object instead of returning the string. + # + # As such, we'll look for those Header objects, and fix up the encoding. + value = [] + # Flag if we have run into any issues processing the headers, thus + # signalling that the data belongs in 'unparsed'. + valid_encoding = True + for h in headers: + # It's unclear if this can return more types than just a Header or + # a str, so we'll just assert here to make sure. + assert isinstance(h, (email.header.Header, str)) + + # If it's a header object, we need to do our little dance to get + # the real data out of it. In cases where there is invalid data + # we're going to end up with mojibake, but there's no obvious, good + # way around that without reimplementing parts of the Header object + # ourselves. + # + # That should be fine since, if mojibacked happens, this key is + # going into the unparsed dict anyways. + if isinstance(h, email.header.Header): + # The Header object stores it's data as chunks, and each chunk + # can be independently encoded, so we'll need to check each + # of them. + chunks: List[Tuple[bytes, Optional[str]]] = [] + for bin, encoding in email.header.decode_header(h): + try: + bin.decode("utf8", "strict") + except UnicodeDecodeError: + # Enable mojibake. + encoding = "latin1" + valid_encoding = False + else: + encoding = "utf8" + chunks.append((bin, encoding)) + + # Turn our chunks back into a Header object, then let that + # Header object do the right thing to turn them into a + # string for us. + value.append(str(email.header.make_header(chunks))) + # This is already a string, so just add it. + else: + value.append(h) + + # We've processed all of our values to get them into a list of str, + # but we may have mojibake data, in which case this is an unparsed + # field. + if not valid_encoding: + unparsed[name] = value + continue + + raw_name = _EMAIL_TO_RAW_MAPPING.get(name) + if raw_name is None: + # This is a bit of a weird situation, we've encountered a key that + # we don't know what it means, so we don't know whether it's meant + # to be a list or not. + # + # Since we can't really tell one way or another, we'll just leave it + # as a list, even though it may be a single item list, because that's + # what makes the most sense for email headers. + unparsed[name] = value + continue + + # If this is one of our string fields, then we'll check to see if our + # value is a list of a single item. If it is then we'll assume that + # it was emitted as a single string, and unwrap the str from inside + # the list. + # + # If it's any other kind of data, then we haven't the faintest clue + # what we should parse it as, and we have to just add it to our list + # of unparsed stuff. + if raw_name in _STRING_FIELDS and len(value) == 1: + raw[raw_name] = value[0] + # If this is one of our list of string fields, then we can just assign + # the value, since email *only* has strings, and our get_all() call + # above ensures that this is a list. + elif raw_name in _LIST_FIELDS: + raw[raw_name] = value + # Special Case: Keywords + # The keywords field is implemented in the metadata spec as a str, + # but it conceptually is a list of strings, and is serialized using + # ", ".join(keywords), so we'll do some light data massaging to turn + # this into what it logically is. + elif raw_name == "keywords" and len(value) == 1: + raw[raw_name] = _parse_keywords(value[0]) + # Special Case: Project-URL + # The project urls is implemented in the metadata spec as a list of + # specially-formatted strings that represent a key and a value, which + # is fundamentally a mapping, however the email format doesn't support + # mappings in a sane way, so it was crammed into a list of strings + # instead. + # + # We will do a little light data massaging to turn this into a map as + # it logically should be. + elif raw_name == "project_urls": + try: + raw[raw_name] = _parse_project_urls(value) + except KeyError: + unparsed[name] = value + # Nothing that we've done has managed to parse this, so it'll just + # throw it in our unparseable data and move on. + else: + unparsed[name] = value + + # We need to support getting the Description from the message payload in + # addition to getting it from the the headers. This does mean, though, there + # is the possibility of it being set both ways, in which case we put both + # in 'unparsed' since we don't know which is right. + try: + payload = _get_payload(parsed, data) + except ValueError: + unparsed.setdefault("description", []).append( + parsed.get_payload(decode=isinstance(data, bytes)) + ) + else: + if payload: + # Check to see if we've already got a description, if so then both + # it, and this body move to unparseable. + if "description" in raw: + description_header = cast(str, raw.pop("description")) + unparsed.setdefault("description", []).extend( + [description_header, payload] + ) + elif "description" in unparsed: + unparsed["description"].append(payload) + else: + raw["description"] = payload + + # We need to cast our `raw` to a metadata, because a TypedDict only support + # literal key names, but we're computing our key names on purpose, but the + # way this function is implemented, our `TypedDict` can only have valid key + # names. + return cast(RawMetadata, raw), unparsed + + +_NOT_FOUND = object() + + +# Keep the two values in sync. +_VALID_METADATA_VERSIONS = ["1.0", "1.1", "1.2", "2.1", "2.2", "2.3"] +_MetadataVersion = Literal["1.0", "1.1", "1.2", "2.1", "2.2", "2.3"] + +_REQUIRED_ATTRS = frozenset(["metadata_version", "name", "version"]) + + +class _Validator(Generic[T]): + """Validate a metadata field. + + All _process_*() methods correspond to a core metadata field. The method is + called with the field's raw value. If the raw value is valid it is returned + in its "enriched" form (e.g. ``version.Version`` for the ``Version`` field). + If the raw value is invalid, :exc:`InvalidMetadata` is raised (with a cause + as appropriate). + """ + + name: str + raw_name: str + added: _MetadataVersion + + def __init__( + self, + *, + added: _MetadataVersion = "1.0", + ) -> None: + self.added = added + + def __set_name__(self, _owner: "Metadata", name: str) -> None: + self.name = name + self.raw_name = _RAW_TO_EMAIL_MAPPING[name] + + def __get__(self, instance: "Metadata", _owner: Type["Metadata"]) -> T: + # With Python 3.8, the caching can be replaced with functools.cached_property(). + # No need to check the cache as attribute lookup will resolve into the + # instance's __dict__ before __get__ is called. + cache = instance.__dict__ + value = instance._raw.get(self.name) + + # To make the _process_* methods easier, we'll check if the value is None + # and if this field is NOT a required attribute, and if both of those + # things are true, we'll skip the the converter. This will mean that the + # converters never have to deal with the None union. + if self.name in _REQUIRED_ATTRS or value is not None: + try: + converter: Callable[[Any], T] = getattr(self, f"_process_{self.name}") + except AttributeError: + pass + else: + value = converter(value) + + cache[self.name] = value + try: + del instance._raw[self.name] # type: ignore[misc] + except KeyError: + pass + + return cast(T, value) + + def _invalid_metadata( + self, msg: str, cause: Optional[Exception] = None + ) -> InvalidMetadata: + exc = InvalidMetadata( + self.raw_name, msg.format_map({"field": repr(self.raw_name)}) + ) + exc.__cause__ = cause + return exc + + def _process_metadata_version(self, value: str) -> _MetadataVersion: + # Implicitly makes Metadata-Version required. + if value not in _VALID_METADATA_VERSIONS: + raise self._invalid_metadata(f"{value!r} is not a valid metadata version") + return cast(_MetadataVersion, value) + + def _process_name(self, value: str) -> str: + if not value: + raise self._invalid_metadata("{field} is a required field") + # Validate the name as a side-effect. + try: + utils.canonicalize_name(value, validate=True) + except utils.InvalidName as exc: + raise self._invalid_metadata( + f"{value!r} is invalid for {{field}}", cause=exc + ) + else: + return value + + def _process_version(self, value: str) -> version_module.Version: + if not value: + raise self._invalid_metadata("{field} is a required field") + try: + return version_module.parse(value) + except version_module.InvalidVersion as exc: + raise self._invalid_metadata( + f"{value!r} is invalid for {{field}}", cause=exc + ) + + def _process_summary(self, value: str) -> str: + """Check the field contains no newlines.""" + if "\n" in value: + raise self._invalid_metadata("{field} must be a single line") + return value + + def _process_description_content_type(self, value: str) -> str: + content_types = {"text/plain", "text/x-rst", "text/markdown"} + message = email.message.EmailMessage() + message["content-type"] = value + + content_type, parameters = ( + # Defaults to `text/plain` if parsing failed. + message.get_content_type().lower(), + message["content-type"].params, + ) + # Check if content-type is valid or defaulted to `text/plain` and thus was + # not parseable. + if content_type not in content_types or content_type not in value.lower(): + raise self._invalid_metadata( + f"{{field}} must be one of {list(content_types)}, not {value!r}" + ) + + charset = parameters.get("charset", "UTF-8") + if charset != "UTF-8": + raise self._invalid_metadata( + f"{{field}} can only specify the UTF-8 charset, not {list(charset)}" + ) + + markdown_variants = {"GFM", "CommonMark"} + variant = parameters.get("variant", "GFM") # Use an acceptable default. + if content_type == "text/markdown" and variant not in markdown_variants: + raise self._invalid_metadata( + f"valid Markdown variants for {{field}} are {list(markdown_variants)}, " + f"not {variant!r}", + ) + return value + + def _process_dynamic(self, value: List[str]) -> List[str]: + for dynamic_field in map(str.lower, value): + if dynamic_field in {"name", "version", "metadata-version"}: + raise self._invalid_metadata( + f"{value!r} is not allowed as a dynamic field" + ) + elif dynamic_field not in _EMAIL_TO_RAW_MAPPING: + raise self._invalid_metadata(f"{value!r} is not a valid dynamic field") + return list(map(str.lower, value)) + + def _process_provides_extra( + self, + value: List[str], + ) -> List[utils.NormalizedName]: + normalized_names = [] + try: + for name in value: + normalized_names.append(utils.canonicalize_name(name, validate=True)) + except utils.InvalidName as exc: + raise self._invalid_metadata( + f"{name!r} is invalid for {{field}}", cause=exc + ) + else: + return normalized_names + + def _process_requires_python(self, value: str) -> specifiers.SpecifierSet: + try: + return specifiers.SpecifierSet(value) + except specifiers.InvalidSpecifier as exc: + raise self._invalid_metadata( + f"{value!r} is invalid for {{field}}", cause=exc + ) + + def _process_requires_dist( + self, + value: List[str], + ) -> List[requirements.Requirement]: + reqs = [] + try: + for req in value: + reqs.append(requirements.Requirement(req)) + except requirements.InvalidRequirement as exc: + raise self._invalid_metadata(f"{req!r} is invalid for {{field}}", cause=exc) + else: + return reqs + + +class Metadata: + """Representation of distribution metadata. + + Compared to :class:`RawMetadata`, this class provides objects representing + metadata fields instead of only using built-in types. Any invalid metadata + will cause :exc:`InvalidMetadata` to be raised (with a + :py:attr:`~BaseException.__cause__` attribute as appropriate). + """ + + _raw: RawMetadata + + @classmethod + def from_raw(cls, data: RawMetadata, *, validate: bool = True) -> "Metadata": + """Create an instance from :class:`RawMetadata`. + + If *validate* is true, all metadata will be validated. All exceptions + related to validation will be gathered and raised as an :class:`ExceptionGroup`. + """ + ins = cls() + ins._raw = data.copy() # Mutations occur due to caching enriched values. + + if validate: + exceptions: List[Exception] = [] + try: + metadata_version = ins.metadata_version + metadata_age = _VALID_METADATA_VERSIONS.index(metadata_version) + except InvalidMetadata as metadata_version_exc: + exceptions.append(metadata_version_exc) + metadata_version = None + + # Make sure to check for the fields that are present, the required + # fields (so their absence can be reported). + fields_to_check = frozenset(ins._raw) | _REQUIRED_ATTRS + # Remove fields that have already been checked. + fields_to_check -= {"metadata_version"} + + for key in fields_to_check: + try: + if metadata_version: + # Can't use getattr() as that triggers descriptor protocol which + # will fail due to no value for the instance argument. + try: + field_metadata_version = cls.__dict__[key].added + except KeyError: + exc = InvalidMetadata(key, f"unrecognized field: {key!r}") + exceptions.append(exc) + continue + field_age = _VALID_METADATA_VERSIONS.index( + field_metadata_version + ) + if field_age > metadata_age: + field = _RAW_TO_EMAIL_MAPPING[key] + exc = InvalidMetadata( + field, + "{field} introduced in metadata version " + "{field_metadata_version}, not {metadata_version}", + ) + exceptions.append(exc) + continue + getattr(ins, key) + except InvalidMetadata as exc: + exceptions.append(exc) + + if exceptions: + raise ExceptionGroup("invalid metadata", exceptions) + + return ins + + @classmethod + def from_email( + cls, data: Union[bytes, str], *, validate: bool = True + ) -> "Metadata": + """Parse metadata from email headers. + + If *validate* is true, the metadata will be validated. All exceptions + related to validation will be gathered and raised as an :class:`ExceptionGroup`. + """ + raw, unparsed = parse_email(data) + + if validate: + exceptions: list[Exception] = [] + for unparsed_key in unparsed: + if unparsed_key in _EMAIL_TO_RAW_MAPPING: + message = f"{unparsed_key!r} has invalid data" + else: + message = f"unrecognized field: {unparsed_key!r}" + exceptions.append(InvalidMetadata(unparsed_key, message)) + + if exceptions: + raise ExceptionGroup("unparsed", exceptions) + + try: + return cls.from_raw(raw, validate=validate) + except ExceptionGroup as exc_group: + raise ExceptionGroup( + "invalid or unparsed metadata", exc_group.exceptions + ) from None + + metadata_version: _Validator[_MetadataVersion] = _Validator() + """:external:ref:`core-metadata-metadata-version` + (required; validated to be a valid metadata version)""" + name: _Validator[str] = _Validator() + """:external:ref:`core-metadata-name` + (required; validated using :func:`~packaging.utils.canonicalize_name` and its + *validate* parameter)""" + version: _Validator[version_module.Version] = _Validator() + """:external:ref:`core-metadata-version` (required)""" + dynamic: _Validator[Optional[List[str]]] = _Validator( + added="2.2", + ) + """:external:ref:`core-metadata-dynamic` + (validated against core metadata field names and lowercased)""" + platforms: _Validator[Optional[List[str]]] = _Validator() + """:external:ref:`core-metadata-platform`""" + supported_platforms: _Validator[Optional[List[str]]] = _Validator(added="1.1") + """:external:ref:`core-metadata-supported-platform`""" + summary: _Validator[Optional[str]] = _Validator() + """:external:ref:`core-metadata-summary` (validated to contain no newlines)""" + description: _Validator[Optional[str]] = _Validator() # TODO 2.1: can be in body + """:external:ref:`core-metadata-description`""" + description_content_type: _Validator[Optional[str]] = _Validator(added="2.1") + """:external:ref:`core-metadata-description-content-type` (validated)""" + keywords: _Validator[Optional[List[str]]] = _Validator() + """:external:ref:`core-metadata-keywords`""" + home_page: _Validator[Optional[str]] = _Validator() + """:external:ref:`core-metadata-home-page`""" + download_url: _Validator[Optional[str]] = _Validator(added="1.1") + """:external:ref:`core-metadata-download-url`""" + author: _Validator[Optional[str]] = _Validator() + """:external:ref:`core-metadata-author`""" + author_email: _Validator[Optional[str]] = _Validator() + """:external:ref:`core-metadata-author-email`""" + maintainer: _Validator[Optional[str]] = _Validator(added="1.2") + """:external:ref:`core-metadata-maintainer`""" + maintainer_email: _Validator[Optional[str]] = _Validator(added="1.2") + """:external:ref:`core-metadata-maintainer-email`""" + license: _Validator[Optional[str]] = _Validator() + """:external:ref:`core-metadata-license`""" + classifiers: _Validator[Optional[List[str]]] = _Validator(added="1.1") + """:external:ref:`core-metadata-classifier`""" + requires_dist: _Validator[Optional[List[requirements.Requirement]]] = _Validator( + added="1.2" + ) + """:external:ref:`core-metadata-requires-dist`""" + requires_python: _Validator[Optional[specifiers.SpecifierSet]] = _Validator( + added="1.2" + ) + """:external:ref:`core-metadata-requires-python`""" + # Because `Requires-External` allows for non-PEP 440 version specifiers, we + # don't do any processing on the values. + requires_external: _Validator[Optional[List[str]]] = _Validator(added="1.2") + """:external:ref:`core-metadata-requires-external`""" + project_urls: _Validator[Optional[Dict[str, str]]] = _Validator(added="1.2") + """:external:ref:`core-metadata-project-url`""" + # PEP 685 lets us raise an error if an extra doesn't pass `Name` validation + # regardless of metadata version. + provides_extra: _Validator[Optional[List[utils.NormalizedName]]] = _Validator( + added="2.1", + ) + """:external:ref:`core-metadata-provides-extra`""" + provides_dist: _Validator[Optional[List[str]]] = _Validator(added="1.2") + """:external:ref:`core-metadata-provides-dist`""" + obsoletes_dist: _Validator[Optional[List[str]]] = _Validator(added="1.2") + """:external:ref:`core-metadata-obsoletes-dist`""" + requires: _Validator[Optional[List[str]]] = _Validator(added="1.1") + """``Requires`` (deprecated)""" + provides: _Validator[Optional[List[str]]] = _Validator(added="1.1") + """``Provides`` (deprecated)""" + obsoletes: _Validator[Optional[List[str]]] = _Validator(added="1.1") + """``Obsoletes`` (deprecated)""" diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/py.typed b/env-llmeval/lib/python3.10/site-packages/packaging/py.typed new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/requirements.py b/env-llmeval/lib/python3.10/site-packages/packaging/requirements.py new file mode 100644 index 0000000000000000000000000000000000000000..bdc43a7e98d87dba0c2069bfb4554f71d228cad4 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/packaging/requirements.py @@ -0,0 +1,90 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. + +from typing import Any, Iterator, Optional, Set + +from ._parser import parse_requirement as _parse_requirement +from ._tokenizer import ParserSyntaxError +from .markers import Marker, _normalize_extra_values +from .specifiers import SpecifierSet +from .utils import canonicalize_name + + +class InvalidRequirement(ValueError): + """ + An invalid requirement was found, users should refer to PEP 508. + """ + + +class Requirement: + """Parse a requirement. + + Parse a given requirement string into its parts, such as name, specifier, + URL, and extras. Raises InvalidRequirement on a badly-formed requirement + string. + """ + + # TODO: Can we test whether something is contained within a requirement? + # If so how do we do that? Do we need to test against the _name_ of + # the thing as well as the version? What about the markers? + # TODO: Can we normalize the name and extra name? + + def __init__(self, requirement_string: str) -> None: + try: + parsed = _parse_requirement(requirement_string) + except ParserSyntaxError as e: + raise InvalidRequirement(str(e)) from e + + self.name: str = parsed.name + self.url: Optional[str] = parsed.url or None + self.extras: Set[str] = set(parsed.extras or []) + self.specifier: SpecifierSet = SpecifierSet(parsed.specifier) + self.marker: Optional[Marker] = None + if parsed.marker is not None: + self.marker = Marker.__new__(Marker) + self.marker._markers = _normalize_extra_values(parsed.marker) + + def _iter_parts(self, name: str) -> Iterator[str]: + yield name + + if self.extras: + formatted_extras = ",".join(sorted(self.extras)) + yield f"[{formatted_extras}]" + + if self.specifier: + yield str(self.specifier) + + if self.url: + yield f"@ {self.url}" + if self.marker: + yield " " + + if self.marker: + yield f"; {self.marker}" + + def __str__(self) -> str: + return "".join(self._iter_parts(self.name)) + + def __repr__(self) -> str: + return f"" + + def __hash__(self) -> int: + return hash( + ( + self.__class__.__name__, + *self._iter_parts(canonicalize_name(self.name)), + ) + ) + + def __eq__(self, other: Any) -> bool: + if not isinstance(other, Requirement): + return NotImplemented + + return ( + canonicalize_name(self.name) == canonicalize_name(other.name) + and self.extras == other.extras + and self.specifier == other.specifier + and self.url == other.url + and self.marker == other.marker + ) diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/specifiers.py b/env-llmeval/lib/python3.10/site-packages/packaging/specifiers.py new file mode 100644 index 0000000000000000000000000000000000000000..2d015bab5958fd9767cf5c9e449f2fa33292c962 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/packaging/specifiers.py @@ -0,0 +1,1017 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. +""" +.. testsetup:: + + from packaging.specifiers import Specifier, SpecifierSet, InvalidSpecifier + from packaging.version import Version +""" + +import abc +import itertools +import re +from typing import Callable, Iterable, Iterator, List, Optional, Tuple, TypeVar, Union + +from .utils import canonicalize_version +from .version import Version + +UnparsedVersion = Union[Version, str] +UnparsedVersionVar = TypeVar("UnparsedVersionVar", bound=UnparsedVersion) +CallableOperator = Callable[[Version, str], bool] + + +def _coerce_version(version: UnparsedVersion) -> Version: + if not isinstance(version, Version): + version = Version(version) + return version + + +class InvalidSpecifier(ValueError): + """ + Raised when attempting to create a :class:`Specifier` with a specifier + string that is invalid. + + >>> Specifier("lolwat") + Traceback (most recent call last): + ... + packaging.specifiers.InvalidSpecifier: Invalid specifier: 'lolwat' + """ + + +class BaseSpecifier(metaclass=abc.ABCMeta): + @abc.abstractmethod + def __str__(self) -> str: + """ + Returns the str representation of this Specifier-like object. This + should be representative of the Specifier itself. + """ + + @abc.abstractmethod + def __hash__(self) -> int: + """ + Returns a hash value for this Specifier-like object. + """ + + @abc.abstractmethod + def __eq__(self, other: object) -> bool: + """ + Returns a boolean representing whether or not the two Specifier-like + objects are equal. + + :param other: The other object to check against. + """ + + @property + @abc.abstractmethod + def prereleases(self) -> Optional[bool]: + """Whether or not pre-releases as a whole are allowed. + + This can be set to either ``True`` or ``False`` to explicitly enable or disable + prereleases or it can be set to ``None`` (the default) to use default semantics. + """ + + @prereleases.setter + def prereleases(self, value: bool) -> None: + """Setter for :attr:`prereleases`. + + :param value: The value to set. + """ + + @abc.abstractmethod + def contains(self, item: str, prereleases: Optional[bool] = None) -> bool: + """ + Determines if the given item is contained within this specifier. + """ + + @abc.abstractmethod + def filter( + self, iterable: Iterable[UnparsedVersionVar], prereleases: Optional[bool] = None + ) -> Iterator[UnparsedVersionVar]: + """ + Takes an iterable of items and filters them so that only items which + are contained within this specifier are allowed in it. + """ + + +class Specifier(BaseSpecifier): + """This class abstracts handling of version specifiers. + + .. tip:: + + It is generally not required to instantiate this manually. You should instead + prefer to work with :class:`SpecifierSet` instead, which can parse + comma-separated version specifiers (which is what package metadata contains). + """ + + _operator_regex_str = r""" + (?P(~=|==|!=|<=|>=|<|>|===)) + """ + _version_regex_str = r""" + (?P + (?: + # The identity operators allow for an escape hatch that will + # do an exact string match of the version you wish to install. + # This will not be parsed by PEP 440 and we cannot determine + # any semantic meaning from it. This operator is discouraged + # but included entirely as an escape hatch. + (?<====) # Only match for the identity operator + \s* + [^\s;)]* # The arbitrary version can be just about anything, + # we match everything except for whitespace, a + # semi-colon for marker support, and a closing paren + # since versions can be enclosed in them. + ) + | + (?: + # The (non)equality operators allow for wild card and local + # versions to be specified so we have to define these two + # operators separately to enable that. + (?<===|!=) # Only match for equals and not equals + + \s* + v? + (?:[0-9]+!)? # epoch + [0-9]+(?:\.[0-9]+)* # release + + # You cannot use a wild card and a pre-release, post-release, a dev or + # local version together so group them with a | and make them optional. + (?: + \.\* # Wild card syntax of .* + | + (?: # pre release + [-_\.]? + (alpha|beta|preview|pre|a|b|c|rc) + [-_\.]? + [0-9]* + )? + (?: # post release + (?:-[0-9]+)|(?:[-_\.]?(post|rev|r)[-_\.]?[0-9]*) + )? + (?:[-_\.]?dev[-_\.]?[0-9]*)? # dev release + (?:\+[a-z0-9]+(?:[-_\.][a-z0-9]+)*)? # local + )? + ) + | + (?: + # The compatible operator requires at least two digits in the + # release segment. + (?<=~=) # Only match for the compatible operator + + \s* + v? + (?:[0-9]+!)? # epoch + [0-9]+(?:\.[0-9]+)+ # release (We have a + instead of a *) + (?: # pre release + [-_\.]? + (alpha|beta|preview|pre|a|b|c|rc) + [-_\.]? + [0-9]* + )? + (?: # post release + (?:-[0-9]+)|(?:[-_\.]?(post|rev|r)[-_\.]?[0-9]*) + )? + (?:[-_\.]?dev[-_\.]?[0-9]*)? # dev release + ) + | + (?: + # All other operators only allow a sub set of what the + # (non)equality operators do. Specifically they do not allow + # local versions to be specified nor do they allow the prefix + # matching wild cards. + (?=": "greater_than_equal", + "<": "less_than", + ">": "greater_than", + "===": "arbitrary", + } + + def __init__(self, spec: str = "", prereleases: Optional[bool] = None) -> None: + """Initialize a Specifier instance. + + :param spec: + The string representation of a specifier which will be parsed and + normalized before use. + :param prereleases: + This tells the specifier if it should accept prerelease versions if + applicable or not. The default of ``None`` will autodetect it from the + given specifiers. + :raises InvalidSpecifier: + If the given specifier is invalid (i.e. bad syntax). + """ + match = self._regex.search(spec) + if not match: + raise InvalidSpecifier(f"Invalid specifier: '{spec}'") + + self._spec: Tuple[str, str] = ( + match.group("operator").strip(), + match.group("version").strip(), + ) + + # Store whether or not this Specifier should accept prereleases + self._prereleases = prereleases + + # https://github.com/python/mypy/pull/13475#pullrequestreview-1079784515 + @property # type: ignore[override] + def prereleases(self) -> bool: + # If there is an explicit prereleases set for this, then we'll just + # blindly use that. + if self._prereleases is not None: + return self._prereleases + + # Look at all of our specifiers and determine if they are inclusive + # operators, and if they are if they are including an explicit + # prerelease. + operator, version = self._spec + if operator in ["==", ">=", "<=", "~=", "==="]: + # The == specifier can include a trailing .*, if it does we + # want to remove before parsing. + if operator == "==" and version.endswith(".*"): + version = version[:-2] + + # Parse the version, and if it is a pre-release than this + # specifier allows pre-releases. + if Version(version).is_prerelease: + return True + + return False + + @prereleases.setter + def prereleases(self, value: bool) -> None: + self._prereleases = value + + @property + def operator(self) -> str: + """The operator of this specifier. + + >>> Specifier("==1.2.3").operator + '==' + """ + return self._spec[0] + + @property + def version(self) -> str: + """The version of this specifier. + + >>> Specifier("==1.2.3").version + '1.2.3' + """ + return self._spec[1] + + def __repr__(self) -> str: + """A representation of the Specifier that shows all internal state. + + >>> Specifier('>=1.0.0') + =1.0.0')> + >>> Specifier('>=1.0.0', prereleases=False) + =1.0.0', prereleases=False)> + >>> Specifier('>=1.0.0', prereleases=True) + =1.0.0', prereleases=True)> + """ + pre = ( + f", prereleases={self.prereleases!r}" + if self._prereleases is not None + else "" + ) + + return f"<{self.__class__.__name__}({str(self)!r}{pre})>" + + def __str__(self) -> str: + """A string representation of the Specifier that can be round-tripped. + + >>> str(Specifier('>=1.0.0')) + '>=1.0.0' + >>> str(Specifier('>=1.0.0', prereleases=False)) + '>=1.0.0' + """ + return "{}{}".format(*self._spec) + + @property + def _canonical_spec(self) -> Tuple[str, str]: + canonical_version = canonicalize_version( + self._spec[1], + strip_trailing_zero=(self._spec[0] != "~="), + ) + return self._spec[0], canonical_version + + def __hash__(self) -> int: + return hash(self._canonical_spec) + + def __eq__(self, other: object) -> bool: + """Whether or not the two Specifier-like objects are equal. + + :param other: The other object to check against. + + The value of :attr:`prereleases` is ignored. + + >>> Specifier("==1.2.3") == Specifier("== 1.2.3.0") + True + >>> (Specifier("==1.2.3", prereleases=False) == + ... Specifier("==1.2.3", prereleases=True)) + True + >>> Specifier("==1.2.3") == "==1.2.3" + True + >>> Specifier("==1.2.3") == Specifier("==1.2.4") + False + >>> Specifier("==1.2.3") == Specifier("~=1.2.3") + False + """ + if isinstance(other, str): + try: + other = self.__class__(str(other)) + except InvalidSpecifier: + return NotImplemented + elif not isinstance(other, self.__class__): + return NotImplemented + + return self._canonical_spec == other._canonical_spec + + def _get_operator(self, op: str) -> CallableOperator: + operator_callable: CallableOperator = getattr( + self, f"_compare_{self._operators[op]}" + ) + return operator_callable + + def _compare_compatible(self, prospective: Version, spec: str) -> bool: + + # Compatible releases have an equivalent combination of >= and ==. That + # is that ~=2.2 is equivalent to >=2.2,==2.*. This allows us to + # implement this in terms of the other specifiers instead of + # implementing it ourselves. The only thing we need to do is construct + # the other specifiers. + + # We want everything but the last item in the version, but we want to + # ignore suffix segments. + prefix = _version_join( + list(itertools.takewhile(_is_not_suffix, _version_split(spec)))[:-1] + ) + + # Add the prefix notation to the end of our string + prefix += ".*" + + return self._get_operator(">=")(prospective, spec) and self._get_operator("==")( + prospective, prefix + ) + + def _compare_equal(self, prospective: Version, spec: str) -> bool: + + # We need special logic to handle prefix matching + if spec.endswith(".*"): + # In the case of prefix matching we want to ignore local segment. + normalized_prospective = canonicalize_version( + prospective.public, strip_trailing_zero=False + ) + # Get the normalized version string ignoring the trailing .* + normalized_spec = canonicalize_version(spec[:-2], strip_trailing_zero=False) + # Split the spec out by bangs and dots, and pretend that there is + # an implicit dot in between a release segment and a pre-release segment. + split_spec = _version_split(normalized_spec) + + # Split the prospective version out by bangs and dots, and pretend + # that there is an implicit dot in between a release segment and + # a pre-release segment. + split_prospective = _version_split(normalized_prospective) + + # 0-pad the prospective version before shortening it to get the correct + # shortened version. + padded_prospective, _ = _pad_version(split_prospective, split_spec) + + # Shorten the prospective version to be the same length as the spec + # so that we can determine if the specifier is a prefix of the + # prospective version or not. + shortened_prospective = padded_prospective[: len(split_spec)] + + return shortened_prospective == split_spec + else: + # Convert our spec string into a Version + spec_version = Version(spec) + + # If the specifier does not have a local segment, then we want to + # act as if the prospective version also does not have a local + # segment. + if not spec_version.local: + prospective = Version(prospective.public) + + return prospective == spec_version + + def _compare_not_equal(self, prospective: Version, spec: str) -> bool: + return not self._compare_equal(prospective, spec) + + def _compare_less_than_equal(self, prospective: Version, spec: str) -> bool: + + # NB: Local version identifiers are NOT permitted in the version + # specifier, so local version labels can be universally removed from + # the prospective version. + return Version(prospective.public) <= Version(spec) + + def _compare_greater_than_equal(self, prospective: Version, spec: str) -> bool: + + # NB: Local version identifiers are NOT permitted in the version + # specifier, so local version labels can be universally removed from + # the prospective version. + return Version(prospective.public) >= Version(spec) + + def _compare_less_than(self, prospective: Version, spec_str: str) -> bool: + + # Convert our spec to a Version instance, since we'll want to work with + # it as a version. + spec = Version(spec_str) + + # Check to see if the prospective version is less than the spec + # version. If it's not we can short circuit and just return False now + # instead of doing extra unneeded work. + if not prospective < spec: + return False + + # This special case is here so that, unless the specifier itself + # includes is a pre-release version, that we do not accept pre-release + # versions for the version mentioned in the specifier (e.g. <3.1 should + # not match 3.1.dev0, but should match 3.0.dev0). + if not spec.is_prerelease and prospective.is_prerelease: + if Version(prospective.base_version) == Version(spec.base_version): + return False + + # If we've gotten to here, it means that prospective version is both + # less than the spec version *and* it's not a pre-release of the same + # version in the spec. + return True + + def _compare_greater_than(self, prospective: Version, spec_str: str) -> bool: + + # Convert our spec to a Version instance, since we'll want to work with + # it as a version. + spec = Version(spec_str) + + # Check to see if the prospective version is greater than the spec + # version. If it's not we can short circuit and just return False now + # instead of doing extra unneeded work. + if not prospective > spec: + return False + + # This special case is here so that, unless the specifier itself + # includes is a post-release version, that we do not accept + # post-release versions for the version mentioned in the specifier + # (e.g. >3.1 should not match 3.0.post0, but should match 3.2.post0). + if not spec.is_postrelease and prospective.is_postrelease: + if Version(prospective.base_version) == Version(spec.base_version): + return False + + # Ensure that we do not allow a local version of the version mentioned + # in the specifier, which is technically greater than, to match. + if prospective.local is not None: + if Version(prospective.base_version) == Version(spec.base_version): + return False + + # If we've gotten to here, it means that prospective version is both + # greater than the spec version *and* it's not a pre-release of the + # same version in the spec. + return True + + def _compare_arbitrary(self, prospective: Version, spec: str) -> bool: + return str(prospective).lower() == str(spec).lower() + + def __contains__(self, item: Union[str, Version]) -> bool: + """Return whether or not the item is contained in this specifier. + + :param item: The item to check for. + + This is used for the ``in`` operator and behaves the same as + :meth:`contains` with no ``prereleases`` argument passed. + + >>> "1.2.3" in Specifier(">=1.2.3") + True + >>> Version("1.2.3") in Specifier(">=1.2.3") + True + >>> "1.0.0" in Specifier(">=1.2.3") + False + >>> "1.3.0a1" in Specifier(">=1.2.3") + False + >>> "1.3.0a1" in Specifier(">=1.2.3", prereleases=True) + True + """ + return self.contains(item) + + def contains( + self, item: UnparsedVersion, prereleases: Optional[bool] = None + ) -> bool: + """Return whether or not the item is contained in this specifier. + + :param item: + The item to check for, which can be a version string or a + :class:`Version` instance. + :param prereleases: + Whether or not to match prereleases with this Specifier. If set to + ``None`` (the default), it uses :attr:`prereleases` to determine + whether or not prereleases are allowed. + + >>> Specifier(">=1.2.3").contains("1.2.3") + True + >>> Specifier(">=1.2.3").contains(Version("1.2.3")) + True + >>> Specifier(">=1.2.3").contains("1.0.0") + False + >>> Specifier(">=1.2.3").contains("1.3.0a1") + False + >>> Specifier(">=1.2.3", prereleases=True).contains("1.3.0a1") + True + >>> Specifier(">=1.2.3").contains("1.3.0a1", prereleases=True) + True + """ + + # Determine if prereleases are to be allowed or not. + if prereleases is None: + prereleases = self.prereleases + + # Normalize item to a Version, this allows us to have a shortcut for + # "2.0" in Specifier(">=2") + normalized_item = _coerce_version(item) + + # Determine if we should be supporting prereleases in this specifier + # or not, if we do not support prereleases than we can short circuit + # logic if this version is a prereleases. + if normalized_item.is_prerelease and not prereleases: + return False + + # Actually do the comparison to determine if this item is contained + # within this Specifier or not. + operator_callable: CallableOperator = self._get_operator(self.operator) + return operator_callable(normalized_item, self.version) + + def filter( + self, iterable: Iterable[UnparsedVersionVar], prereleases: Optional[bool] = None + ) -> Iterator[UnparsedVersionVar]: + """Filter items in the given iterable, that match the specifier. + + :param iterable: + An iterable that can contain version strings and :class:`Version` instances. + The items in the iterable will be filtered according to the specifier. + :param prereleases: + Whether or not to allow prereleases in the returned iterator. If set to + ``None`` (the default), it will be intelligently decide whether to allow + prereleases or not (based on the :attr:`prereleases` attribute, and + whether the only versions matching are prereleases). + + This method is smarter than just ``filter(Specifier().contains, [...])`` + because it implements the rule from :pep:`440` that a prerelease item + SHOULD be accepted if no other versions match the given specifier. + + >>> list(Specifier(">=1.2.3").filter(["1.2", "1.3", "1.5a1"])) + ['1.3'] + >>> list(Specifier(">=1.2.3").filter(["1.2", "1.2.3", "1.3", Version("1.4")])) + ['1.2.3', '1.3', ] + >>> list(Specifier(">=1.2.3").filter(["1.2", "1.5a1"])) + ['1.5a1'] + >>> list(Specifier(">=1.2.3").filter(["1.3", "1.5a1"], prereleases=True)) + ['1.3', '1.5a1'] + >>> list(Specifier(">=1.2.3", prereleases=True).filter(["1.3", "1.5a1"])) + ['1.3', '1.5a1'] + """ + + yielded = False + found_prereleases = [] + + kw = {"prereleases": prereleases if prereleases is not None else True} + + # Attempt to iterate over all the values in the iterable and if any of + # them match, yield them. + for version in iterable: + parsed_version = _coerce_version(version) + + if self.contains(parsed_version, **kw): + # If our version is a prerelease, and we were not set to allow + # prereleases, then we'll store it for later in case nothing + # else matches this specifier. + if parsed_version.is_prerelease and not ( + prereleases or self.prereleases + ): + found_prereleases.append(version) + # Either this is not a prerelease, or we should have been + # accepting prereleases from the beginning. + else: + yielded = True + yield version + + # Now that we've iterated over everything, determine if we've yielded + # any values, and if we have not and we have any prereleases stored up + # then we will go ahead and yield the prereleases. + if not yielded and found_prereleases: + for version in found_prereleases: + yield version + + +_prefix_regex = re.compile(r"^([0-9]+)((?:a|b|c|rc)[0-9]+)$") + + +def _version_split(version: str) -> List[str]: + """Split version into components. + + The split components are intended for version comparison. The logic does + not attempt to retain the original version string, so joining the + components back with :func:`_version_join` may not produce the original + version string. + """ + result: List[str] = [] + + epoch, _, rest = version.rpartition("!") + result.append(epoch or "0") + + for item in rest.split("."): + match = _prefix_regex.search(item) + if match: + result.extend(match.groups()) + else: + result.append(item) + return result + + +def _version_join(components: List[str]) -> str: + """Join split version components into a version string. + + This function assumes the input came from :func:`_version_split`, where the + first component must be the epoch (either empty or numeric), and all other + components numeric. + """ + epoch, *rest = components + return f"{epoch}!{'.'.join(rest)}" + + +def _is_not_suffix(segment: str) -> bool: + return not any( + segment.startswith(prefix) for prefix in ("dev", "a", "b", "rc", "post") + ) + + +def _pad_version(left: List[str], right: List[str]) -> Tuple[List[str], List[str]]: + left_split, right_split = [], [] + + # Get the release segment of our versions + left_split.append(list(itertools.takewhile(lambda x: x.isdigit(), left))) + right_split.append(list(itertools.takewhile(lambda x: x.isdigit(), right))) + + # Get the rest of our versions + left_split.append(left[len(left_split[0]) :]) + right_split.append(right[len(right_split[0]) :]) + + # Insert our padding + left_split.insert(1, ["0"] * max(0, len(right_split[0]) - len(left_split[0]))) + right_split.insert(1, ["0"] * max(0, len(left_split[0]) - len(right_split[0]))) + + return ( + list(itertools.chain.from_iterable(left_split)), + list(itertools.chain.from_iterable(right_split)), + ) + + +class SpecifierSet(BaseSpecifier): + """This class abstracts handling of a set of version specifiers. + + It can be passed a single specifier (``>=3.0``), a comma-separated list of + specifiers (``>=3.0,!=3.1``), or no specifier at all. + """ + + def __init__( + self, specifiers: str = "", prereleases: Optional[bool] = None + ) -> None: + """Initialize a SpecifierSet instance. + + :param specifiers: + The string representation of a specifier or a comma-separated list of + specifiers which will be parsed and normalized before use. + :param prereleases: + This tells the SpecifierSet if it should accept prerelease versions if + applicable or not. The default of ``None`` will autodetect it from the + given specifiers. + + :raises InvalidSpecifier: + If the given ``specifiers`` are not parseable than this exception will be + raised. + """ + + # Split on `,` to break each individual specifier into it's own item, and + # strip each item to remove leading/trailing whitespace. + split_specifiers = [s.strip() for s in specifiers.split(",") if s.strip()] + + # Make each individual specifier a Specifier and save in a frozen set for later. + self._specs = frozenset(map(Specifier, split_specifiers)) + + # Store our prereleases value so we can use it later to determine if + # we accept prereleases or not. + self._prereleases = prereleases + + @property + def prereleases(self) -> Optional[bool]: + # If we have been given an explicit prerelease modifier, then we'll + # pass that through here. + if self._prereleases is not None: + return self._prereleases + + # If we don't have any specifiers, and we don't have a forced value, + # then we'll just return None since we don't know if this should have + # pre-releases or not. + if not self._specs: + return None + + # Otherwise we'll see if any of the given specifiers accept + # prereleases, if any of them do we'll return True, otherwise False. + return any(s.prereleases for s in self._specs) + + @prereleases.setter + def prereleases(self, value: bool) -> None: + self._prereleases = value + + def __repr__(self) -> str: + """A representation of the specifier set that shows all internal state. + + Note that the ordering of the individual specifiers within the set may not + match the input string. + + >>> SpecifierSet('>=1.0.0,!=2.0.0') + =1.0.0')> + >>> SpecifierSet('>=1.0.0,!=2.0.0', prereleases=False) + =1.0.0', prereleases=False)> + >>> SpecifierSet('>=1.0.0,!=2.0.0', prereleases=True) + =1.0.0', prereleases=True)> + """ + pre = ( + f", prereleases={self.prereleases!r}" + if self._prereleases is not None + else "" + ) + + return f"" + + def __str__(self) -> str: + """A string representation of the specifier set that can be round-tripped. + + Note that the ordering of the individual specifiers within the set may not + match the input string. + + >>> str(SpecifierSet(">=1.0.0,!=1.0.1")) + '!=1.0.1,>=1.0.0' + >>> str(SpecifierSet(">=1.0.0,!=1.0.1", prereleases=False)) + '!=1.0.1,>=1.0.0' + """ + return ",".join(sorted(str(s) for s in self._specs)) + + def __hash__(self) -> int: + return hash(self._specs) + + def __and__(self, other: Union["SpecifierSet", str]) -> "SpecifierSet": + """Return a SpecifierSet which is a combination of the two sets. + + :param other: The other object to combine with. + + >>> SpecifierSet(">=1.0.0,!=1.0.1") & '<=2.0.0,!=2.0.1' + =1.0.0')> + >>> SpecifierSet(">=1.0.0,!=1.0.1") & SpecifierSet('<=2.0.0,!=2.0.1') + =1.0.0')> + """ + if isinstance(other, str): + other = SpecifierSet(other) + elif not isinstance(other, SpecifierSet): + return NotImplemented + + specifier = SpecifierSet() + specifier._specs = frozenset(self._specs | other._specs) + + if self._prereleases is None and other._prereleases is not None: + specifier._prereleases = other._prereleases + elif self._prereleases is not None and other._prereleases is None: + specifier._prereleases = self._prereleases + elif self._prereleases == other._prereleases: + specifier._prereleases = self._prereleases + else: + raise ValueError( + "Cannot combine SpecifierSets with True and False prerelease " + "overrides." + ) + + return specifier + + def __eq__(self, other: object) -> bool: + """Whether or not the two SpecifierSet-like objects are equal. + + :param other: The other object to check against. + + The value of :attr:`prereleases` is ignored. + + >>> SpecifierSet(">=1.0.0,!=1.0.1") == SpecifierSet(">=1.0.0,!=1.0.1") + True + >>> (SpecifierSet(">=1.0.0,!=1.0.1", prereleases=False) == + ... SpecifierSet(">=1.0.0,!=1.0.1", prereleases=True)) + True + >>> SpecifierSet(">=1.0.0,!=1.0.1") == ">=1.0.0,!=1.0.1" + True + >>> SpecifierSet(">=1.0.0,!=1.0.1") == SpecifierSet(">=1.0.0") + False + >>> SpecifierSet(">=1.0.0,!=1.0.1") == SpecifierSet(">=1.0.0,!=1.0.2") + False + """ + if isinstance(other, (str, Specifier)): + other = SpecifierSet(str(other)) + elif not isinstance(other, SpecifierSet): + return NotImplemented + + return self._specs == other._specs + + def __len__(self) -> int: + """Returns the number of specifiers in this specifier set.""" + return len(self._specs) + + def __iter__(self) -> Iterator[Specifier]: + """ + Returns an iterator over all the underlying :class:`Specifier` instances + in this specifier set. + + >>> sorted(SpecifierSet(">=1.0.0,!=1.0.1"), key=str) + [, =1.0.0')>] + """ + return iter(self._specs) + + def __contains__(self, item: UnparsedVersion) -> bool: + """Return whether or not the item is contained in this specifier. + + :param item: The item to check for. + + This is used for the ``in`` operator and behaves the same as + :meth:`contains` with no ``prereleases`` argument passed. + + >>> "1.2.3" in SpecifierSet(">=1.0.0,!=1.0.1") + True + >>> Version("1.2.3") in SpecifierSet(">=1.0.0,!=1.0.1") + True + >>> "1.0.1" in SpecifierSet(">=1.0.0,!=1.0.1") + False + >>> "1.3.0a1" in SpecifierSet(">=1.0.0,!=1.0.1") + False + >>> "1.3.0a1" in SpecifierSet(">=1.0.0,!=1.0.1", prereleases=True) + True + """ + return self.contains(item) + + def contains( + self, + item: UnparsedVersion, + prereleases: Optional[bool] = None, + installed: Optional[bool] = None, + ) -> bool: + """Return whether or not the item is contained in this SpecifierSet. + + :param item: + The item to check for, which can be a version string or a + :class:`Version` instance. + :param prereleases: + Whether or not to match prereleases with this SpecifierSet. If set to + ``None`` (the default), it uses :attr:`prereleases` to determine + whether or not prereleases are allowed. + + >>> SpecifierSet(">=1.0.0,!=1.0.1").contains("1.2.3") + True + >>> SpecifierSet(">=1.0.0,!=1.0.1").contains(Version("1.2.3")) + True + >>> SpecifierSet(">=1.0.0,!=1.0.1").contains("1.0.1") + False + >>> SpecifierSet(">=1.0.0,!=1.0.1").contains("1.3.0a1") + False + >>> SpecifierSet(">=1.0.0,!=1.0.1", prereleases=True).contains("1.3.0a1") + True + >>> SpecifierSet(">=1.0.0,!=1.0.1").contains("1.3.0a1", prereleases=True) + True + """ + # Ensure that our item is a Version instance. + if not isinstance(item, Version): + item = Version(item) + + # Determine if we're forcing a prerelease or not, if we're not forcing + # one for this particular filter call, then we'll use whatever the + # SpecifierSet thinks for whether or not we should support prereleases. + if prereleases is None: + prereleases = self.prereleases + + # We can determine if we're going to allow pre-releases by looking to + # see if any of the underlying items supports them. If none of them do + # and this item is a pre-release then we do not allow it and we can + # short circuit that here. + # Note: This means that 1.0.dev1 would not be contained in something + # like >=1.0.devabc however it would be in >=1.0.debabc,>0.0.dev0 + if not prereleases and item.is_prerelease: + return False + + if installed and item.is_prerelease: + item = Version(item.base_version) + + # We simply dispatch to the underlying specs here to make sure that the + # given version is contained within all of them. + # Note: This use of all() here means that an empty set of specifiers + # will always return True, this is an explicit design decision. + return all(s.contains(item, prereleases=prereleases) for s in self._specs) + + def filter( + self, iterable: Iterable[UnparsedVersionVar], prereleases: Optional[bool] = None + ) -> Iterator[UnparsedVersionVar]: + """Filter items in the given iterable, that match the specifiers in this set. + + :param iterable: + An iterable that can contain version strings and :class:`Version` instances. + The items in the iterable will be filtered according to the specifier. + :param prereleases: + Whether or not to allow prereleases in the returned iterator. If set to + ``None`` (the default), it will be intelligently decide whether to allow + prereleases or not (based on the :attr:`prereleases` attribute, and + whether the only versions matching are prereleases). + + This method is smarter than just ``filter(SpecifierSet(...).contains, [...])`` + because it implements the rule from :pep:`440` that a prerelease item + SHOULD be accepted if no other versions match the given specifier. + + >>> list(SpecifierSet(">=1.2.3").filter(["1.2", "1.3", "1.5a1"])) + ['1.3'] + >>> list(SpecifierSet(">=1.2.3").filter(["1.2", "1.3", Version("1.4")])) + ['1.3', ] + >>> list(SpecifierSet(">=1.2.3").filter(["1.2", "1.5a1"])) + [] + >>> list(SpecifierSet(">=1.2.3").filter(["1.3", "1.5a1"], prereleases=True)) + ['1.3', '1.5a1'] + >>> list(SpecifierSet(">=1.2.3", prereleases=True).filter(["1.3", "1.5a1"])) + ['1.3', '1.5a1'] + + An "empty" SpecifierSet will filter items based on the presence of prerelease + versions in the set. + + >>> list(SpecifierSet("").filter(["1.3", "1.5a1"])) + ['1.3'] + >>> list(SpecifierSet("").filter(["1.5a1"])) + ['1.5a1'] + >>> list(SpecifierSet("", prereleases=True).filter(["1.3", "1.5a1"])) + ['1.3', '1.5a1'] + >>> list(SpecifierSet("").filter(["1.3", "1.5a1"], prereleases=True)) + ['1.3', '1.5a1'] + """ + # Determine if we're forcing a prerelease or not, if we're not forcing + # one for this particular filter call, then we'll use whatever the + # SpecifierSet thinks for whether or not we should support prereleases. + if prereleases is None: + prereleases = self.prereleases + + # If we have any specifiers, then we want to wrap our iterable in the + # filter method for each one, this will act as a logical AND amongst + # each specifier. + if self._specs: + for spec in self._specs: + iterable = spec.filter(iterable, prereleases=bool(prereleases)) + return iter(iterable) + # If we do not have any specifiers, then we need to have a rough filter + # which will filter out any pre-releases, unless there are no final + # releases. + else: + filtered: List[UnparsedVersionVar] = [] + found_prereleases: List[UnparsedVersionVar] = [] + + for item in iterable: + parsed_version = _coerce_version(item) + + # Store any item which is a pre-release for later unless we've + # already found a final version or we are accepting prereleases + if parsed_version.is_prerelease and not prereleases: + if not filtered: + found_prereleases.append(item) + else: + filtered.append(item) + + # If we've found no items except for pre-releases, then we'll go + # ahead and use the pre-releases + if not filtered and found_prereleases and prereleases is None: + return iter(found_prereleases) + + return iter(filtered) diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/tags.py b/env-llmeval/lib/python3.10/site-packages/packaging/tags.py new file mode 100644 index 0000000000000000000000000000000000000000..89f1926137dd2d2a6bd63616bf5b9f722fc8d584 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/packaging/tags.py @@ -0,0 +1,571 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. + +import logging +import platform +import re +import struct +import subprocess +import sys +import sysconfig +from importlib.machinery import EXTENSION_SUFFIXES +from typing import ( + Dict, + FrozenSet, + Iterable, + Iterator, + List, + Optional, + Sequence, + Tuple, + Union, + cast, +) + +from . import _manylinux, _musllinux + +logger = logging.getLogger(__name__) + +PythonVersion = Sequence[int] +MacVersion = Tuple[int, int] + +INTERPRETER_SHORT_NAMES: Dict[str, str] = { + "python": "py", # Generic. + "cpython": "cp", + "pypy": "pp", + "ironpython": "ip", + "jython": "jy", +} + + +_32_BIT_INTERPRETER = struct.calcsize("P") == 4 + + +class Tag: + """ + A representation of the tag triple for a wheel. + + Instances are considered immutable and thus are hashable. Equality checking + is also supported. + """ + + __slots__ = ["_interpreter", "_abi", "_platform", "_hash"] + + def __init__(self, interpreter: str, abi: str, platform: str) -> None: + self._interpreter = interpreter.lower() + self._abi = abi.lower() + self._platform = platform.lower() + # The __hash__ of every single element in a Set[Tag] will be evaluated each time + # that a set calls its `.disjoint()` method, which may be called hundreds of + # times when scanning a page of links for packages with tags matching that + # Set[Tag]. Pre-computing the value here produces significant speedups for + # downstream consumers. + self._hash = hash((self._interpreter, self._abi, self._platform)) + + @property + def interpreter(self) -> str: + return self._interpreter + + @property + def abi(self) -> str: + return self._abi + + @property + def platform(self) -> str: + return self._platform + + def __eq__(self, other: object) -> bool: + if not isinstance(other, Tag): + return NotImplemented + + return ( + (self._hash == other._hash) # Short-circuit ASAP for perf reasons. + and (self._platform == other._platform) + and (self._abi == other._abi) + and (self._interpreter == other._interpreter) + ) + + def __hash__(self) -> int: + return self._hash + + def __str__(self) -> str: + return f"{self._interpreter}-{self._abi}-{self._platform}" + + def __repr__(self) -> str: + return f"<{self} @ {id(self)}>" + + +def parse_tag(tag: str) -> FrozenSet[Tag]: + """ + Parses the provided tag (e.g. `py3-none-any`) into a frozenset of Tag instances. + + Returning a set is required due to the possibility that the tag is a + compressed tag set. + """ + tags = set() + interpreters, abis, platforms = tag.split("-") + for interpreter in interpreters.split("."): + for abi in abis.split("."): + for platform_ in platforms.split("."): + tags.add(Tag(interpreter, abi, platform_)) + return frozenset(tags) + + +def _get_config_var(name: str, warn: bool = False) -> Union[int, str, None]: + value: Union[int, str, None] = sysconfig.get_config_var(name) + if value is None and warn: + logger.debug( + "Config variable '%s' is unset, Python ABI tag may be incorrect", name + ) + return value + + +def _normalize_string(string: str) -> str: + return string.replace(".", "_").replace("-", "_").replace(" ", "_") + + +def _is_threaded_cpython(abis: List[str]) -> bool: + """ + Determine if the ABI corresponds to a threaded (`--disable-gil`) build. + + The threaded builds are indicated by a "t" in the abiflags. + """ + if len(abis) == 0: + return False + # expect e.g., cp313 + m = re.match(r"cp\d+(.*)", abis[0]) + if not m: + return False + abiflags = m.group(1) + return "t" in abiflags + + +def _abi3_applies(python_version: PythonVersion, threading: bool) -> bool: + """ + Determine if the Python version supports abi3. + + PEP 384 was first implemented in Python 3.2. The threaded (`--disable-gil`) + builds do not support abi3. + """ + return len(python_version) > 1 and tuple(python_version) >= (3, 2) and not threading + + +def _cpython_abis(py_version: PythonVersion, warn: bool = False) -> List[str]: + py_version = tuple(py_version) # To allow for version comparison. + abis = [] + version = _version_nodot(py_version[:2]) + threading = debug = pymalloc = ucs4 = "" + with_debug = _get_config_var("Py_DEBUG", warn) + has_refcount = hasattr(sys, "gettotalrefcount") + # Windows doesn't set Py_DEBUG, so checking for support of debug-compiled + # extension modules is the best option. + # https://github.com/pypa/pip/issues/3383#issuecomment-173267692 + has_ext = "_d.pyd" in EXTENSION_SUFFIXES + if with_debug or (with_debug is None and (has_refcount or has_ext)): + debug = "d" + if py_version >= (3, 13) and _get_config_var("Py_GIL_DISABLED", warn): + threading = "t" + if py_version < (3, 8): + with_pymalloc = _get_config_var("WITH_PYMALLOC", warn) + if with_pymalloc or with_pymalloc is None: + pymalloc = "m" + if py_version < (3, 3): + unicode_size = _get_config_var("Py_UNICODE_SIZE", warn) + if unicode_size == 4 or ( + unicode_size is None and sys.maxunicode == 0x10FFFF + ): + ucs4 = "u" + elif debug: + # Debug builds can also load "normal" extension modules. + # We can also assume no UCS-4 or pymalloc requirement. + abis.append(f"cp{version}{threading}") + abis.insert(0, f"cp{version}{threading}{debug}{pymalloc}{ucs4}") + return abis + + +def cpython_tags( + python_version: Optional[PythonVersion] = None, + abis: Optional[Iterable[str]] = None, + platforms: Optional[Iterable[str]] = None, + *, + warn: bool = False, +) -> Iterator[Tag]: + """ + Yields the tags for a CPython interpreter. + + The tags consist of: + - cp-- + - cp-abi3- + - cp-none- + - cp-abi3- # Older Python versions down to 3.2. + + If python_version only specifies a major version then user-provided ABIs and + the 'none' ABItag will be used. + + If 'abi3' or 'none' are specified in 'abis' then they will be yielded at + their normal position and not at the beginning. + """ + if not python_version: + python_version = sys.version_info[:2] + + interpreter = f"cp{_version_nodot(python_version[:2])}" + + if abis is None: + if len(python_version) > 1: + abis = _cpython_abis(python_version, warn) + else: + abis = [] + abis = list(abis) + # 'abi3' and 'none' are explicitly handled later. + for explicit_abi in ("abi3", "none"): + try: + abis.remove(explicit_abi) + except ValueError: + pass + + platforms = list(platforms or platform_tags()) + for abi in abis: + for platform_ in platforms: + yield Tag(interpreter, abi, platform_) + + threading = _is_threaded_cpython(abis) + use_abi3 = _abi3_applies(python_version, threading) + if use_abi3: + yield from (Tag(interpreter, "abi3", platform_) for platform_ in platforms) + yield from (Tag(interpreter, "none", platform_) for platform_ in platforms) + + if use_abi3: + for minor_version in range(python_version[1] - 1, 1, -1): + for platform_ in platforms: + interpreter = "cp{version}".format( + version=_version_nodot((python_version[0], minor_version)) + ) + yield Tag(interpreter, "abi3", platform_) + + +def _generic_abi() -> List[str]: + """ + Return the ABI tag based on EXT_SUFFIX. + """ + # The following are examples of `EXT_SUFFIX`. + # We want to keep the parts which are related to the ABI and remove the + # parts which are related to the platform: + # - linux: '.cpython-310-x86_64-linux-gnu.so' => cp310 + # - mac: '.cpython-310-darwin.so' => cp310 + # - win: '.cp310-win_amd64.pyd' => cp310 + # - win: '.pyd' => cp37 (uses _cpython_abis()) + # - pypy: '.pypy38-pp73-x86_64-linux-gnu.so' => pypy38_pp73 + # - graalpy: '.graalpy-38-native-x86_64-darwin.dylib' + # => graalpy_38_native + + ext_suffix = _get_config_var("EXT_SUFFIX", warn=True) + if not isinstance(ext_suffix, str) or ext_suffix[0] != ".": + raise SystemError("invalid sysconfig.get_config_var('EXT_SUFFIX')") + parts = ext_suffix.split(".") + if len(parts) < 3: + # CPython3.7 and earlier uses ".pyd" on Windows. + return _cpython_abis(sys.version_info[:2]) + soabi = parts[1] + if soabi.startswith("cpython"): + # non-windows + abi = "cp" + soabi.split("-")[1] + elif soabi.startswith("cp"): + # windows + abi = soabi.split("-")[0] + elif soabi.startswith("pypy"): + abi = "-".join(soabi.split("-")[:2]) + elif soabi.startswith("graalpy"): + abi = "-".join(soabi.split("-")[:3]) + elif soabi: + # pyston, ironpython, others? + abi = soabi + else: + return [] + return [_normalize_string(abi)] + + +def generic_tags( + interpreter: Optional[str] = None, + abis: Optional[Iterable[str]] = None, + platforms: Optional[Iterable[str]] = None, + *, + warn: bool = False, +) -> Iterator[Tag]: + """ + Yields the tags for a generic interpreter. + + The tags consist of: + - -- + + The "none" ABI will be added if it was not explicitly provided. + """ + if not interpreter: + interp_name = interpreter_name() + interp_version = interpreter_version(warn=warn) + interpreter = "".join([interp_name, interp_version]) + if abis is None: + abis = _generic_abi() + else: + abis = list(abis) + platforms = list(platforms or platform_tags()) + if "none" not in abis: + abis.append("none") + for abi in abis: + for platform_ in platforms: + yield Tag(interpreter, abi, platform_) + + +def _py_interpreter_range(py_version: PythonVersion) -> Iterator[str]: + """ + Yields Python versions in descending order. + + After the latest version, the major-only version will be yielded, and then + all previous versions of that major version. + """ + if len(py_version) > 1: + yield f"py{_version_nodot(py_version[:2])}" + yield f"py{py_version[0]}" + if len(py_version) > 1: + for minor in range(py_version[1] - 1, -1, -1): + yield f"py{_version_nodot((py_version[0], minor))}" + + +def compatible_tags( + python_version: Optional[PythonVersion] = None, + interpreter: Optional[str] = None, + platforms: Optional[Iterable[str]] = None, +) -> Iterator[Tag]: + """ + Yields the sequence of tags that are compatible with a specific version of Python. + + The tags consist of: + - py*-none- + - -none-any # ... if `interpreter` is provided. + - py*-none-any + """ + if not python_version: + python_version = sys.version_info[:2] + platforms = list(platforms or platform_tags()) + for version in _py_interpreter_range(python_version): + for platform_ in platforms: + yield Tag(version, "none", platform_) + if interpreter: + yield Tag(interpreter, "none", "any") + for version in _py_interpreter_range(python_version): + yield Tag(version, "none", "any") + + +def _mac_arch(arch: str, is_32bit: bool = _32_BIT_INTERPRETER) -> str: + if not is_32bit: + return arch + + if arch.startswith("ppc"): + return "ppc" + + return "i386" + + +def _mac_binary_formats(version: MacVersion, cpu_arch: str) -> List[str]: + formats = [cpu_arch] + if cpu_arch == "x86_64": + if version < (10, 4): + return [] + formats.extend(["intel", "fat64", "fat32"]) + + elif cpu_arch == "i386": + if version < (10, 4): + return [] + formats.extend(["intel", "fat32", "fat"]) + + elif cpu_arch == "ppc64": + # TODO: Need to care about 32-bit PPC for ppc64 through 10.2? + if version > (10, 5) or version < (10, 4): + return [] + formats.append("fat64") + + elif cpu_arch == "ppc": + if version > (10, 6): + return [] + formats.extend(["fat32", "fat"]) + + if cpu_arch in {"arm64", "x86_64"}: + formats.append("universal2") + + if cpu_arch in {"x86_64", "i386", "ppc64", "ppc", "intel"}: + formats.append("universal") + + return formats + + +def mac_platforms( + version: Optional[MacVersion] = None, arch: Optional[str] = None +) -> Iterator[str]: + """ + Yields the platform tags for a macOS system. + + The `version` parameter is a two-item tuple specifying the macOS version to + generate platform tags for. The `arch` parameter is the CPU architecture to + generate platform tags for. Both parameters default to the appropriate value + for the current system. + """ + version_str, _, cpu_arch = platform.mac_ver() + if version is None: + version = cast("MacVersion", tuple(map(int, version_str.split(".")[:2]))) + if version == (10, 16): + # When built against an older macOS SDK, Python will report macOS 10.16 + # instead of the real version. + version_str = subprocess.run( + [ + sys.executable, + "-sS", + "-c", + "import platform; print(platform.mac_ver()[0])", + ], + check=True, + env={"SYSTEM_VERSION_COMPAT": "0"}, + stdout=subprocess.PIPE, + text=True, + ).stdout + version = cast("MacVersion", tuple(map(int, version_str.split(".")[:2]))) + else: + version = version + if arch is None: + arch = _mac_arch(cpu_arch) + else: + arch = arch + + if (10, 0) <= version and version < (11, 0): + # Prior to Mac OS 11, each yearly release of Mac OS bumped the + # "minor" version number. The major version was always 10. + for minor_version in range(version[1], -1, -1): + compat_version = 10, minor_version + binary_formats = _mac_binary_formats(compat_version, arch) + for binary_format in binary_formats: + yield "macosx_{major}_{minor}_{binary_format}".format( + major=10, minor=minor_version, binary_format=binary_format + ) + + if version >= (11, 0): + # Starting with Mac OS 11, each yearly release bumps the major version + # number. The minor versions are now the midyear updates. + for major_version in range(version[0], 10, -1): + compat_version = major_version, 0 + binary_formats = _mac_binary_formats(compat_version, arch) + for binary_format in binary_formats: + yield "macosx_{major}_{minor}_{binary_format}".format( + major=major_version, minor=0, binary_format=binary_format + ) + + if version >= (11, 0): + # Mac OS 11 on x86_64 is compatible with binaries from previous releases. + # Arm64 support was introduced in 11.0, so no Arm binaries from previous + # releases exist. + # + # However, the "universal2" binary format can have a + # macOS version earlier than 11.0 when the x86_64 part of the binary supports + # that version of macOS. + if arch == "x86_64": + for minor_version in range(16, 3, -1): + compat_version = 10, minor_version + binary_formats = _mac_binary_formats(compat_version, arch) + for binary_format in binary_formats: + yield "macosx_{major}_{minor}_{binary_format}".format( + major=compat_version[0], + minor=compat_version[1], + binary_format=binary_format, + ) + else: + for minor_version in range(16, 3, -1): + compat_version = 10, minor_version + binary_format = "universal2" + yield "macosx_{major}_{minor}_{binary_format}".format( + major=compat_version[0], + minor=compat_version[1], + binary_format=binary_format, + ) + + +def _linux_platforms(is_32bit: bool = _32_BIT_INTERPRETER) -> Iterator[str]: + linux = _normalize_string(sysconfig.get_platform()) + if not linux.startswith("linux_"): + # we should never be here, just yield the sysconfig one and return + yield linux + return + if is_32bit: + if linux == "linux_x86_64": + linux = "linux_i686" + elif linux == "linux_aarch64": + linux = "linux_armv8l" + _, arch = linux.split("_", 1) + archs = {"armv8l": ["armv8l", "armv7l"]}.get(arch, [arch]) + yield from _manylinux.platform_tags(archs) + yield from _musllinux.platform_tags(archs) + for arch in archs: + yield f"linux_{arch}" + + +def _generic_platforms() -> Iterator[str]: + yield _normalize_string(sysconfig.get_platform()) + + +def platform_tags() -> Iterator[str]: + """ + Provides the platform tags for this installation. + """ + if platform.system() == "Darwin": + return mac_platforms() + elif platform.system() == "Linux": + return _linux_platforms() + else: + return _generic_platforms() + + +def interpreter_name() -> str: + """ + Returns the name of the running interpreter. + + Some implementations have a reserved, two-letter abbreviation which will + be returned when appropriate. + """ + name = sys.implementation.name + return INTERPRETER_SHORT_NAMES.get(name) or name + + +def interpreter_version(*, warn: bool = False) -> str: + """ + Returns the version of the running interpreter. + """ + version = _get_config_var("py_version_nodot", warn=warn) + if version: + version = str(version) + else: + version = _version_nodot(sys.version_info[:2]) + return version + + +def _version_nodot(version: PythonVersion) -> str: + return "".join(map(str, version)) + + +def sys_tags(*, warn: bool = False) -> Iterator[Tag]: + """ + Returns the sequence of tag triples for the running interpreter. + + The order of the sequence corresponds to priority order for the + interpreter, from most to least important. + """ + + interp_name = interpreter_name() + if interp_name == "cp": + yield from cpython_tags(warn=warn) + else: + yield from generic_tags() + + if interp_name == "pp": + interp = "pp3" + elif interp_name == "cp": + interp = "cp" + interpreter_version(warn=warn) + else: + interp = None + yield from compatible_tags(interpreter=interp) diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/utils.py b/env-llmeval/lib/python3.10/site-packages/packaging/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..c2c2f75aa806282d322c76c2117c0f0fdfb09d25 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/packaging/utils.py @@ -0,0 +1,172 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. + +import re +from typing import FrozenSet, NewType, Tuple, Union, cast + +from .tags import Tag, parse_tag +from .version import InvalidVersion, Version + +BuildTag = Union[Tuple[()], Tuple[int, str]] +NormalizedName = NewType("NormalizedName", str) + + +class InvalidName(ValueError): + """ + An invalid distribution name; users should refer to the packaging user guide. + """ + + +class InvalidWheelFilename(ValueError): + """ + An invalid wheel filename was found, users should refer to PEP 427. + """ + + +class InvalidSdistFilename(ValueError): + """ + An invalid sdist filename was found, users should refer to the packaging user guide. + """ + + +# Core metadata spec for `Name` +_validate_regex = re.compile( + r"^([A-Z0-9]|[A-Z0-9][A-Z0-9._-]*[A-Z0-9])$", re.IGNORECASE +) +_canonicalize_regex = re.compile(r"[-_.]+") +_normalized_regex = re.compile(r"^([a-z0-9]|[a-z0-9]([a-z0-9-](?!--))*[a-z0-9])$") +# PEP 427: The build number must start with a digit. +_build_tag_regex = re.compile(r"(\d+)(.*)") + + +def canonicalize_name(name: str, *, validate: bool = False) -> NormalizedName: + if validate and not _validate_regex.match(name): + raise InvalidName(f"name is invalid: {name!r}") + # This is taken from PEP 503. + value = _canonicalize_regex.sub("-", name).lower() + return cast(NormalizedName, value) + + +def is_normalized_name(name: str) -> bool: + return _normalized_regex.match(name) is not None + + +def canonicalize_version( + version: Union[Version, str], *, strip_trailing_zero: bool = True +) -> str: + """ + This is very similar to Version.__str__, but has one subtle difference + with the way it handles the release segment. + """ + if isinstance(version, str): + try: + parsed = Version(version) + except InvalidVersion: + # Legacy versions cannot be normalized + return version + else: + parsed = version + + parts = [] + + # Epoch + if parsed.epoch != 0: + parts.append(f"{parsed.epoch}!") + + # Release segment + release_segment = ".".join(str(x) for x in parsed.release) + if strip_trailing_zero: + # NB: This strips trailing '.0's to normalize + release_segment = re.sub(r"(\.0)+$", "", release_segment) + parts.append(release_segment) + + # Pre-release + if parsed.pre is not None: + parts.append("".join(str(x) for x in parsed.pre)) + + # Post-release + if parsed.post is not None: + parts.append(f".post{parsed.post}") + + # Development release + if parsed.dev is not None: + parts.append(f".dev{parsed.dev}") + + # Local version segment + if parsed.local is not None: + parts.append(f"+{parsed.local}") + + return "".join(parts) + + +def parse_wheel_filename( + filename: str, +) -> Tuple[NormalizedName, Version, BuildTag, FrozenSet[Tag]]: + if not filename.endswith(".whl"): + raise InvalidWheelFilename( + f"Invalid wheel filename (extension must be '.whl'): {filename}" + ) + + filename = filename[:-4] + dashes = filename.count("-") + if dashes not in (4, 5): + raise InvalidWheelFilename( + f"Invalid wheel filename (wrong number of parts): {filename}" + ) + + parts = filename.split("-", dashes - 2) + name_part = parts[0] + # See PEP 427 for the rules on escaping the project name. + if "__" in name_part or re.match(r"^[\w\d._]*$", name_part, re.UNICODE) is None: + raise InvalidWheelFilename(f"Invalid project name: {filename}") + name = canonicalize_name(name_part) + + try: + version = Version(parts[1]) + except InvalidVersion as e: + raise InvalidWheelFilename( + f"Invalid wheel filename (invalid version): {filename}" + ) from e + + if dashes == 5: + build_part = parts[2] + build_match = _build_tag_regex.match(build_part) + if build_match is None: + raise InvalidWheelFilename( + f"Invalid build number: {build_part} in '{filename}'" + ) + build = cast(BuildTag, (int(build_match.group(1)), build_match.group(2))) + else: + build = () + tags = parse_tag(parts[-1]) + return (name, version, build, tags) + + +def parse_sdist_filename(filename: str) -> Tuple[NormalizedName, Version]: + if filename.endswith(".tar.gz"): + file_stem = filename[: -len(".tar.gz")] + elif filename.endswith(".zip"): + file_stem = filename[: -len(".zip")] + else: + raise InvalidSdistFilename( + f"Invalid sdist filename (extension must be '.tar.gz' or '.zip'):" + f" {filename}" + ) + + # We are requiring a PEP 440 version, which cannot contain dashes, + # so we split on the last dash. + name_part, sep, version_part = file_stem.rpartition("-") + if not sep: + raise InvalidSdistFilename(f"Invalid sdist filename: {filename}") + + name = canonicalize_name(name_part) + + try: + version = Version(version_part) + except InvalidVersion as e: + raise InvalidSdistFilename( + f"Invalid sdist filename (invalid version): {filename}" + ) from e + + return (name, version) diff --git a/env-llmeval/lib/python3.10/site-packages/packaging/version.py b/env-llmeval/lib/python3.10/site-packages/packaging/version.py new file mode 100644 index 0000000000000000000000000000000000000000..5faab9bd0dcf28847960162b2b4f13a8a556ef20 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/packaging/version.py @@ -0,0 +1,563 @@ +# This file is dual licensed under the terms of the Apache License, Version +# 2.0, and the BSD License. See the LICENSE file in the root of this repository +# for complete details. +""" +.. testsetup:: + + from packaging.version import parse, Version +""" + +import itertools +import re +from typing import Any, Callable, NamedTuple, Optional, SupportsInt, Tuple, Union + +from ._structures import Infinity, InfinityType, NegativeInfinity, NegativeInfinityType + +__all__ = ["VERSION_PATTERN", "parse", "Version", "InvalidVersion"] + +LocalType = Tuple[Union[int, str], ...] + +CmpPrePostDevType = Union[InfinityType, NegativeInfinityType, Tuple[str, int]] +CmpLocalType = Union[ + NegativeInfinityType, + Tuple[Union[Tuple[int, str], Tuple[NegativeInfinityType, Union[int, str]]], ...], +] +CmpKey = Tuple[ + int, + Tuple[int, ...], + CmpPrePostDevType, + CmpPrePostDevType, + CmpPrePostDevType, + CmpLocalType, +] +VersionComparisonMethod = Callable[[CmpKey, CmpKey], bool] + + +class _Version(NamedTuple): + epoch: int + release: Tuple[int, ...] + dev: Optional[Tuple[str, int]] + pre: Optional[Tuple[str, int]] + post: Optional[Tuple[str, int]] + local: Optional[LocalType] + + +def parse(version: str) -> "Version": + """Parse the given version string. + + >>> parse('1.0.dev1') + + + :param version: The version string to parse. + :raises InvalidVersion: When the version string is not a valid version. + """ + return Version(version) + + +class InvalidVersion(ValueError): + """Raised when a version string is not a valid version. + + >>> Version("invalid") + Traceback (most recent call last): + ... + packaging.version.InvalidVersion: Invalid version: 'invalid' + """ + + +class _BaseVersion: + _key: Tuple[Any, ...] + + def __hash__(self) -> int: + return hash(self._key) + + # Please keep the duplicated `isinstance` check + # in the six comparisons hereunder + # unless you find a way to avoid adding overhead function calls. + def __lt__(self, other: "_BaseVersion") -> bool: + if not isinstance(other, _BaseVersion): + return NotImplemented + + return self._key < other._key + + def __le__(self, other: "_BaseVersion") -> bool: + if not isinstance(other, _BaseVersion): + return NotImplemented + + return self._key <= other._key + + def __eq__(self, other: object) -> bool: + if not isinstance(other, _BaseVersion): + return NotImplemented + + return self._key == other._key + + def __ge__(self, other: "_BaseVersion") -> bool: + if not isinstance(other, _BaseVersion): + return NotImplemented + + return self._key >= other._key + + def __gt__(self, other: "_BaseVersion") -> bool: + if not isinstance(other, _BaseVersion): + return NotImplemented + + return self._key > other._key + + def __ne__(self, other: object) -> bool: + if not isinstance(other, _BaseVersion): + return NotImplemented + + return self._key != other._key + + +# Deliberately not anchored to the start and end of the string, to make it +# easier for 3rd party code to reuse +_VERSION_PATTERN = r""" + v? + (?: + (?:(?P[0-9]+)!)? # epoch + (?P[0-9]+(?:\.[0-9]+)*) # release segment + (?P
                                          # pre-release
+            [-_\.]?
+            (?Palpha|a|beta|b|preview|pre|c|rc)
+            [-_\.]?
+            (?P[0-9]+)?
+        )?
+        (?P                                         # post release
+            (?:-(?P[0-9]+))
+            |
+            (?:
+                [-_\.]?
+                (?Ppost|rev|r)
+                [-_\.]?
+                (?P[0-9]+)?
+            )
+        )?
+        (?P                                          # dev release
+            [-_\.]?
+            (?Pdev)
+            [-_\.]?
+            (?P[0-9]+)?
+        )?
+    )
+    (?:\+(?P[a-z0-9]+(?:[-_\.][a-z0-9]+)*))?       # local version
+"""
+
+VERSION_PATTERN = _VERSION_PATTERN
+"""
+A string containing the regular expression used to match a valid version.
+
+The pattern is not anchored at either end, and is intended for embedding in larger
+expressions (for example, matching a version number as part of a file name). The
+regular expression should be compiled with the ``re.VERBOSE`` and ``re.IGNORECASE``
+flags set.
+
+:meta hide-value:
+"""
+
+
+class Version(_BaseVersion):
+    """This class abstracts handling of a project's versions.
+
+    A :class:`Version` instance is comparison aware and can be compared and
+    sorted using the standard Python interfaces.
+
+    >>> v1 = Version("1.0a5")
+    >>> v2 = Version("1.0")
+    >>> v1
+    
+    >>> v2
+    
+    >>> v1 < v2
+    True
+    >>> v1 == v2
+    False
+    >>> v1 > v2
+    False
+    >>> v1 >= v2
+    False
+    >>> v1 <= v2
+    True
+    """
+
+    _regex = re.compile(r"^\s*" + VERSION_PATTERN + r"\s*$", re.VERBOSE | re.IGNORECASE)
+    _key: CmpKey
+
+    def __init__(self, version: str) -> None:
+        """Initialize a Version object.
+
+        :param version:
+            The string representation of a version which will be parsed and normalized
+            before use.
+        :raises InvalidVersion:
+            If the ``version`` does not conform to PEP 440 in any way then this
+            exception will be raised.
+        """
+
+        # Validate the version and parse it into pieces
+        match = self._regex.search(version)
+        if not match:
+            raise InvalidVersion(f"Invalid version: '{version}'")
+
+        # Store the parsed out pieces of the version
+        self._version = _Version(
+            epoch=int(match.group("epoch")) if match.group("epoch") else 0,
+            release=tuple(int(i) for i in match.group("release").split(".")),
+            pre=_parse_letter_version(match.group("pre_l"), match.group("pre_n")),
+            post=_parse_letter_version(
+                match.group("post_l"), match.group("post_n1") or match.group("post_n2")
+            ),
+            dev=_parse_letter_version(match.group("dev_l"), match.group("dev_n")),
+            local=_parse_local_version(match.group("local")),
+        )
+
+        # Generate a key which will be used for sorting
+        self._key = _cmpkey(
+            self._version.epoch,
+            self._version.release,
+            self._version.pre,
+            self._version.post,
+            self._version.dev,
+            self._version.local,
+        )
+
+    def __repr__(self) -> str:
+        """A representation of the Version that shows all internal state.
+
+        >>> Version('1.0.0')
+        
+        """
+        return f""
+
+    def __str__(self) -> str:
+        """A string representation of the version that can be rounded-tripped.
+
+        >>> str(Version("1.0a5"))
+        '1.0a5'
+        """
+        parts = []
+
+        # Epoch
+        if self.epoch != 0:
+            parts.append(f"{self.epoch}!")
+
+        # Release segment
+        parts.append(".".join(str(x) for x in self.release))
+
+        # Pre-release
+        if self.pre is not None:
+            parts.append("".join(str(x) for x in self.pre))
+
+        # Post-release
+        if self.post is not None:
+            parts.append(f".post{self.post}")
+
+        # Development release
+        if self.dev is not None:
+            parts.append(f".dev{self.dev}")
+
+        # Local version segment
+        if self.local is not None:
+            parts.append(f"+{self.local}")
+
+        return "".join(parts)
+
+    @property
+    def epoch(self) -> int:
+        """The epoch of the version.
+
+        >>> Version("2.0.0").epoch
+        0
+        >>> Version("1!2.0.0").epoch
+        1
+        """
+        return self._version.epoch
+
+    @property
+    def release(self) -> Tuple[int, ...]:
+        """The components of the "release" segment of the version.
+
+        >>> Version("1.2.3").release
+        (1, 2, 3)
+        >>> Version("2.0.0").release
+        (2, 0, 0)
+        >>> Version("1!2.0.0.post0").release
+        (2, 0, 0)
+
+        Includes trailing zeroes but not the epoch or any pre-release / development /
+        post-release suffixes.
+        """
+        return self._version.release
+
+    @property
+    def pre(self) -> Optional[Tuple[str, int]]:
+        """The pre-release segment of the version.
+
+        >>> print(Version("1.2.3").pre)
+        None
+        >>> Version("1.2.3a1").pre
+        ('a', 1)
+        >>> Version("1.2.3b1").pre
+        ('b', 1)
+        >>> Version("1.2.3rc1").pre
+        ('rc', 1)
+        """
+        return self._version.pre
+
+    @property
+    def post(self) -> Optional[int]:
+        """The post-release number of the version.
+
+        >>> print(Version("1.2.3").post)
+        None
+        >>> Version("1.2.3.post1").post
+        1
+        """
+        return self._version.post[1] if self._version.post else None
+
+    @property
+    def dev(self) -> Optional[int]:
+        """The development number of the version.
+
+        >>> print(Version("1.2.3").dev)
+        None
+        >>> Version("1.2.3.dev1").dev
+        1
+        """
+        return self._version.dev[1] if self._version.dev else None
+
+    @property
+    def local(self) -> Optional[str]:
+        """The local version segment of the version.
+
+        >>> print(Version("1.2.3").local)
+        None
+        >>> Version("1.2.3+abc").local
+        'abc'
+        """
+        if self._version.local:
+            return ".".join(str(x) for x in self._version.local)
+        else:
+            return None
+
+    @property
+    def public(self) -> str:
+        """The public portion of the version.
+
+        >>> Version("1.2.3").public
+        '1.2.3'
+        >>> Version("1.2.3+abc").public
+        '1.2.3'
+        >>> Version("1.2.3+abc.dev1").public
+        '1.2.3'
+        """
+        return str(self).split("+", 1)[0]
+
+    @property
+    def base_version(self) -> str:
+        """The "base version" of the version.
+
+        >>> Version("1.2.3").base_version
+        '1.2.3'
+        >>> Version("1.2.3+abc").base_version
+        '1.2.3'
+        >>> Version("1!1.2.3+abc.dev1").base_version
+        '1!1.2.3'
+
+        The "base version" is the public version of the project without any pre or post
+        release markers.
+        """
+        parts = []
+
+        # Epoch
+        if self.epoch != 0:
+            parts.append(f"{self.epoch}!")
+
+        # Release segment
+        parts.append(".".join(str(x) for x in self.release))
+
+        return "".join(parts)
+
+    @property
+    def is_prerelease(self) -> bool:
+        """Whether this version is a pre-release.
+
+        >>> Version("1.2.3").is_prerelease
+        False
+        >>> Version("1.2.3a1").is_prerelease
+        True
+        >>> Version("1.2.3b1").is_prerelease
+        True
+        >>> Version("1.2.3rc1").is_prerelease
+        True
+        >>> Version("1.2.3dev1").is_prerelease
+        True
+        """
+        return self.dev is not None or self.pre is not None
+
+    @property
+    def is_postrelease(self) -> bool:
+        """Whether this version is a post-release.
+
+        >>> Version("1.2.3").is_postrelease
+        False
+        >>> Version("1.2.3.post1").is_postrelease
+        True
+        """
+        return self.post is not None
+
+    @property
+    def is_devrelease(self) -> bool:
+        """Whether this version is a development release.
+
+        >>> Version("1.2.3").is_devrelease
+        False
+        >>> Version("1.2.3.dev1").is_devrelease
+        True
+        """
+        return self.dev is not None
+
+    @property
+    def major(self) -> int:
+        """The first item of :attr:`release` or ``0`` if unavailable.
+
+        >>> Version("1.2.3").major
+        1
+        """
+        return self.release[0] if len(self.release) >= 1 else 0
+
+    @property
+    def minor(self) -> int:
+        """The second item of :attr:`release` or ``0`` if unavailable.
+
+        >>> Version("1.2.3").minor
+        2
+        >>> Version("1").minor
+        0
+        """
+        return self.release[1] if len(self.release) >= 2 else 0
+
+    @property
+    def micro(self) -> int:
+        """The third item of :attr:`release` or ``0`` if unavailable.
+
+        >>> Version("1.2.3").micro
+        3
+        >>> Version("1").micro
+        0
+        """
+        return self.release[2] if len(self.release) >= 3 else 0
+
+
+def _parse_letter_version(
+    letter: Optional[str], number: Union[str, bytes, SupportsInt, None]
+) -> Optional[Tuple[str, int]]:
+
+    if letter:
+        # We consider there to be an implicit 0 in a pre-release if there is
+        # not a numeral associated with it.
+        if number is None:
+            number = 0
+
+        # We normalize any letters to their lower case form
+        letter = letter.lower()
+
+        # We consider some words to be alternate spellings of other words and
+        # in those cases we want to normalize the spellings to our preferred
+        # spelling.
+        if letter == "alpha":
+            letter = "a"
+        elif letter == "beta":
+            letter = "b"
+        elif letter in ["c", "pre", "preview"]:
+            letter = "rc"
+        elif letter in ["rev", "r"]:
+            letter = "post"
+
+        return letter, int(number)
+    if not letter and number:
+        # We assume if we are given a number, but we are not given a letter
+        # then this is using the implicit post release syntax (e.g. 1.0-1)
+        letter = "post"
+
+        return letter, int(number)
+
+    return None
+
+
+_local_version_separators = re.compile(r"[\._-]")
+
+
+def _parse_local_version(local: Optional[str]) -> Optional[LocalType]:
+    """
+    Takes a string like abc.1.twelve and turns it into ("abc", 1, "twelve").
+    """
+    if local is not None:
+        return tuple(
+            part.lower() if not part.isdigit() else int(part)
+            for part in _local_version_separators.split(local)
+        )
+    return None
+
+
+def _cmpkey(
+    epoch: int,
+    release: Tuple[int, ...],
+    pre: Optional[Tuple[str, int]],
+    post: Optional[Tuple[str, int]],
+    dev: Optional[Tuple[str, int]],
+    local: Optional[LocalType],
+) -> CmpKey:
+
+    # When we compare a release version, we want to compare it with all of the
+    # trailing zeros removed. So we'll use a reverse the list, drop all the now
+    # leading zeros until we come to something non zero, then take the rest
+    # re-reverse it back into the correct order and make it a tuple and use
+    # that for our sorting key.
+    _release = tuple(
+        reversed(list(itertools.dropwhile(lambda x: x == 0, reversed(release))))
+    )
+
+    # We need to "trick" the sorting algorithm to put 1.0.dev0 before 1.0a0.
+    # We'll do this by abusing the pre segment, but we _only_ want to do this
+    # if there is not a pre or a post segment. If we have one of those then
+    # the normal sorting rules will handle this case correctly.
+    if pre is None and post is None and dev is not None:
+        _pre: CmpPrePostDevType = NegativeInfinity
+    # Versions without a pre-release (except as noted above) should sort after
+    # those with one.
+    elif pre is None:
+        _pre = Infinity
+    else:
+        _pre = pre
+
+    # Versions without a post segment should sort before those with one.
+    if post is None:
+        _post: CmpPrePostDevType = NegativeInfinity
+
+    else:
+        _post = post
+
+    # Versions without a development segment should sort after those with one.
+    if dev is None:
+        _dev: CmpPrePostDevType = Infinity
+
+    else:
+        _dev = dev
+
+    if local is None:
+        # Versions without a local segment should sort before those with one.
+        _local: CmpLocalType = NegativeInfinity
+    else:
+        # Versions with a local segment need that segment parsed to implement
+        # the sorting rules in PEP440.
+        # - Alpha numeric segments sort before numeric segments
+        # - Alpha numeric segments sort lexicographically
+        # - Numeric segments sort numerically
+        # - Shorter versions sort before longer versions when the prefixes
+        #   match exactly
+        _local = tuple(
+            (i, "") if isinstance(i, int) else (NegativeInfinity, i) for i in local
+        )
+
+    return epoch, _release, _pre, _post, _dev, _local
diff --git a/env-llmeval/lib/python3.10/site-packages/portalocker-2.8.2.dist-info/INSTALLER b/env-llmeval/lib/python3.10/site-packages/portalocker-2.8.2.dist-info/INSTALLER
new file mode 100644
index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68
--- /dev/null
+++ b/env-llmeval/lib/python3.10/site-packages/portalocker-2.8.2.dist-info/INSTALLER
@@ -0,0 +1 @@
+pip
diff --git a/env-llmeval/lib/python3.10/site-packages/portalocker-2.8.2.dist-info/LICENSE b/env-llmeval/lib/python3.10/site-packages/portalocker-2.8.2.dist-info/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..b638bda0d3b793bf3c52b37c9ea1f5b6dc0ce98b
--- /dev/null
+++ b/env-llmeval/lib/python3.10/site-packages/portalocker-2.8.2.dist-info/LICENSE
@@ -0,0 +1,11 @@
+Copyright 2022 Rick van Hattem
+
+Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
diff --git a/env-llmeval/lib/python3.10/site-packages/portalocker-2.8.2.dist-info/METADATA b/env-llmeval/lib/python3.10/site-packages/portalocker-2.8.2.dist-info/METADATA
new file mode 100644
index 0000000000000000000000000000000000000000..fceba3792594bc05da6d653c11e89d80f4ec1d59
--- /dev/null
+++ b/env-llmeval/lib/python3.10/site-packages/portalocker-2.8.2.dist-info/METADATA
@@ -0,0 +1,255 @@
+Metadata-Version: 2.1
+Name: portalocker
+Version: 2.8.2
+Summary: Wraps the portalocker recipe for easy usage
+Author-email: Rick van Hattem 
+License: BSD-3-Clause
+Project-URL: bugs, https://github.com/wolph/portalocker/issues
+Project-URL: documentation, https://portalocker.readthedocs.io/en/latest/
+Project-URL: repository, https://github.com/wolph/portalocker/
+Keywords: locking,locks,with,statement,windows,linux,unix
+Platform: any
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Development Status :: 6 - Mature
+Classifier: Intended Audience :: Developers
+Classifier: License :: OSI Approved :: BSD License
+Classifier: Natural Language :: English
+Classifier: Operating System :: MacOS :: MacOS X
+Classifier: Operating System :: MacOS
+Classifier: Operating System :: Microsoft :: MS-DOS
+Classifier: Operating System :: Microsoft :: Windows
+Classifier: Operating System :: Microsoft
+Classifier: Operating System :: POSIX :: BSD :: FreeBSD
+Classifier: Operating System :: POSIX :: BSD
+Classifier: Operating System :: POSIX :: Linux
+Classifier: Operating System :: POSIX :: SunOS/Solaris
+Classifier: Operating System :: POSIX
+Classifier: Operating System :: Unix
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: Implementation :: CPython
+Classifier: Programming Language :: Python :: Implementation :: IronPython
+Classifier: Programming Language :: Python :: Implementation :: PyPy
+Classifier: Programming Language :: Python :: Implementation
+Classifier: Programming Language :: Python
+Classifier: Topic :: Education :: Testing
+Classifier: Topic :: Office/Business
+Classifier: Topic :: Other/Nonlisted Topic
+Classifier: Topic :: Software Development :: Libraries :: Python Modules
+Classifier: Topic :: Software Development :: Libraries
+Classifier: Topic :: System :: Monitoring
+Requires-Python: >=3.8
+Description-Content-Type: text/x-rst
+License-File: LICENSE
+Requires-Dist: pywin32 >=226 ; platform_system == "Windows"
+Provides-Extra: docs
+Requires-Dist: sphinx >=1.7.1 ; extra == 'docs'
+Provides-Extra: redis
+Requires-Dist: redis ; extra == 'redis'
+Provides-Extra: tests
+Requires-Dist: pytest >=5.4.1 ; extra == 'tests'
+Requires-Dist: pytest-cov >=2.8.1 ; extra == 'tests'
+Requires-Dist: pytest-timeout >=2.1.0 ; extra == 'tests'
+Requires-Dist: sphinx >=6.0.0 ; extra == 'tests'
+Requires-Dist: pytest-mypy >=0.8.0 ; extra == 'tests'
+Requires-Dist: types-redis ; extra == 'tests'
+Requires-Dist: redis ; extra == 'tests'
+
+############################################
+portalocker - Cross-platform locking library
+############################################
+
+.. image:: https://github.com/WoLpH/portalocker/actions/workflows/python-package.yml/badge.svg?branch=master
+    :alt: Linux Test Status
+    :target: https://github.com/WoLpH/portalocker/actions/
+
+.. image:: https://ci.appveyor.com/api/projects/status/mgqry98hgpy4prhh?svg=true
+    :alt: Windows Tests Status
+    :target: https://ci.appveyor.com/project/WoLpH/portalocker
+
+.. image:: https://coveralls.io/repos/WoLpH/portalocker/badge.svg?branch=master
+    :alt: Coverage Status
+    :target: https://coveralls.io/r/WoLpH/portalocker?branch=master
+
+Overview
+--------
+
+Portalocker is a library to provide an easy API to file locking.
+
+An important detail to note is that on Linux and Unix systems the locks are
+advisory by default. By specifying the `-o mand` option to the mount command it
+is possible to enable mandatory file locking on Linux. This is generally not
+recommended however. For more information about the subject:
+
+ - https://en.wikipedia.org/wiki/File_locking
+ - http://stackoverflow.com/questions/39292051/portalocker-does-not-seem-to-lock
+ - https://stackoverflow.com/questions/12062466/mandatory-file-lock-on-linux
+
+The module is currently maintained by Rick van Hattem .
+The project resides at https://github.com/WoLpH/portalocker . Bugs and feature
+requests can be submitted there. Patches are also very welcome.
+
+Security contact information
+------------------------------------------------------------------------------
+
+To report a security vulnerability, please use the
+`Tidelift security contact `_.
+Tidelift will coordinate the fix and disclosure.
+
+Redis Locks
+-----------
+
+This library now features a lock based on Redis which allows for locks across
+multiple threads, processes and even distributed locks across multiple
+computers.
+
+It is an extremely reliable Redis lock that is based on pubsub.
+
+As opposed to most Redis locking systems based on key/value pairs,
+this locking method is based on the pubsub system. The big advantage is
+that if the connection gets killed due to network issues, crashing
+processes or otherwise, it will still immediately unlock instead of
+waiting for a lock timeout.
+
+First make sure you have everything installed correctly:
+
+::
+
+    pip install "portalocker[redis]"
+
+Usage is really easy:
+
+::
+
+    import portalocker
+
+    lock = portalocker.RedisLock('some_lock_channel_name')
+
+    with lock:
+        print('do something here')
+
+The API is essentially identical to the other ``Lock`` classes so in addition
+to the ``with`` statement you can also use ``lock.acquire(...)``.
+
+Python 2
+--------
+
+Python 2 was supported in versions before Portalocker 2.0. If you are still
+using
+Python 2,
+you can run this to install:
+
+::
+
+    pip install "portalocker<2"
+
+Tips
+----
+
+On some networked filesystems it might be needed to force a `os.fsync()` before
+closing the file so it's actually written before another client reads the file.
+Effectively this comes down to:
+
+::
+
+   with portalocker.Lock('some_file', 'rb+', timeout=60) as fh:
+       # do what you need to do
+       ...
+
+       # flush and sync to filesystem
+       fh.flush()
+       os.fsync(fh.fileno())
+
+Links
+-----
+
+* Documentation
+    - http://portalocker.readthedocs.org/en/latest/
+* Source
+    - https://github.com/WoLpH/portalocker
+* Bug reports
+    - https://github.com/WoLpH/portalocker/issues
+* Package homepage
+    - https://pypi.python.org/pypi/portalocker
+* My blog
+    - http://w.wol.ph/
+
+Examples
+--------
+
+To make sure your cache generation scripts don't race, use the `Lock` class:
+
+>>> import portalocker
+>>> with portalocker.Lock('somefile', timeout=1) as fh:
+...     print('writing some stuff to my cache...', file=fh)
+
+To customize the opening and locking a manual approach is also possible:
+
+>>> import portalocker
+>>> file = open('somefile', 'r+')
+>>> portalocker.lock(file, portalocker.LockFlags.EXCLUSIVE)
+>>> file.seek(12)
+>>> file.write('foo')
+>>> file.close()
+
+Explicitly unlocking is not needed in most cases but omitting it has been known
+to cause issues:
+https://github.com/AzureAD/microsoft-authentication-extensions-for-python/issues/42#issuecomment-601108266
+
+If needed, it can be done through:
+
+>>> portalocker.unlock(file)
+
+Do note that your data might still be in a buffer so it is possible that your
+data is not available until you `flush()` or `close()`.
+
+To create a cross platform bounded semaphore across multiple processes you can
+use the `BoundedSemaphore` class which functions somewhat similar to
+`threading.BoundedSemaphore`:
+
+>>> import portalocker
+>>> n = 2
+>>> timeout = 0.1
+
+>>> semaphore_a = portalocker.BoundedSemaphore(n, timeout=timeout)
+>>> semaphore_b = portalocker.BoundedSemaphore(n, timeout=timeout)
+>>> semaphore_c = portalocker.BoundedSemaphore(n, timeout=timeout)
+
+>>> semaphore_a.acquire()
+
+>>> semaphore_b.acquire()
+
+>>> semaphore_c.acquire()
+Traceback (most recent call last):
+  ...
+portalocker.exceptions.AlreadyLocked
+
+
+More examples can be found in the
+`tests `_.
+
+
+Versioning
+----------
+
+This library follows `Semantic Versioning `_.
+
+
+Changelog
+---------
+
+Every release has a ``git tag`` with a commit message for the tag
+explaining what was added and/or changed. The list of tags/releases
+including the commit messages can be found here:
+https://github.com/WoLpH/portalocker/releases
+
+License
+-------
+
+See the `LICENSE `_ file.
+
diff --git a/env-llmeval/lib/python3.10/site-packages/portalocker-2.8.2.dist-info/RECORD b/env-llmeval/lib/python3.10/site-packages/portalocker-2.8.2.dist-info/RECORD
new file mode 100644
index 0000000000000000000000000000000000000000..f8d2618221f108eb549f9091942500f00e2cd14c
--- /dev/null
+++ b/env-llmeval/lib/python3.10/site-packages/portalocker-2.8.2.dist-info/RECORD
@@ -0,0 +1,23 @@
+portalocker-2.8.2.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4
+portalocker-2.8.2.dist-info/LICENSE,sha256=pQVw-jsxAqQte6uwVpI4sLPArtzgBjyOTWUGDf0_cpM,1460
+portalocker-2.8.2.dist-info/METADATA,sha256=2KIoWHT2tr_abTIWy3-8rpyF1uGPtlZUWZw2yK4jxWA,8525
+portalocker-2.8.2.dist-info/RECORD,,
+portalocker-2.8.2.dist-info/WHEEL,sha256=yQN5g4mg4AybRjkgi-9yy4iQEFibGQmlz78Pik5Or-A,92
+portalocker-2.8.2.dist-info/top_level.txt,sha256=qfIEwW2X8cgtD0cFJIIWaR-cnKNo4ESR7Raiwxf-UNA,12
+portalocker/__about__.py,sha256=qQIzhUALgyblL5TXWsApg_XFvmUJ70dzk1odhoSjNfo,230
+portalocker/__init__.py,sha256=6z6mM1nNwPQnMvyuAUOsHdXp1KQivxsFhtf_zu5-UmQ,2087
+portalocker/__main__.py,sha256=vhMZUPO17zwNarq7h2b-ne-M4vVpYN2gdIbrHJmBS8k,2624
+portalocker/__pycache__/__about__.cpython-310.pyc,,
+portalocker/__pycache__/__init__.cpython-310.pyc,,
+portalocker/__pycache__/__main__.cpython-310.pyc,,
+portalocker/__pycache__/constants.cpython-310.pyc,,
+portalocker/__pycache__/exceptions.cpython-310.pyc,,
+portalocker/__pycache__/portalocker.cpython-310.pyc,,
+portalocker/__pycache__/redis.cpython-310.pyc,,
+portalocker/__pycache__/utils.cpython-310.pyc,,
+portalocker/constants.py,sha256=mw8YwUWn6ie91HK4pszEdWrfTU6il--QYPt4ve0rj4w,1130
+portalocker/exceptions.py,sha256=giyP3Ha8URNlsN2YezZgQ9FwtRAcFOosBWl_GH1SnOA,469
+portalocker/portalocker.py,sha256=0rc9ZsFVZ_JJdPJoiy1PhZzXd_FTUYlJqh9Xd2KouKk,4006
+portalocker/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
+portalocker/redis.py,sha256=DImklGnN42uHe8GG1viLVMRjGJwydrAKb8PV9uevUrk,8338
+portalocker/utils.py,sha256=HYi0lQDlTPGVMnM21kXKmNNMbB8Q46JGglxqao0Y3IY,17489
diff --git a/env-llmeval/lib/python3.10/site-packages/portalocker-2.8.2.dist-info/WHEEL b/env-llmeval/lib/python3.10/site-packages/portalocker-2.8.2.dist-info/WHEEL
new file mode 100644
index 0000000000000000000000000000000000000000..7e688737d490be3643d705bc16b5a77f7bd567b7
--- /dev/null
+++ b/env-llmeval/lib/python3.10/site-packages/portalocker-2.8.2.dist-info/WHEEL
@@ -0,0 +1,5 @@
+Wheel-Version: 1.0
+Generator: bdist_wheel (0.41.2)
+Root-Is-Purelib: true
+Tag: py3-none-any
+
diff --git a/env-llmeval/lib/python3.10/site-packages/portalocker-2.8.2.dist-info/top_level.txt b/env-llmeval/lib/python3.10/site-packages/portalocker-2.8.2.dist-info/top_level.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7bbc14e6fa689626ddcf52c84dd711ef31061774
--- /dev/null
+++ b/env-llmeval/lib/python3.10/site-packages/portalocker-2.8.2.dist-info/top_level.txt
@@ -0,0 +1 @@
+portalocker
diff --git a/env-llmeval/lib/python3.10/site-packages/pytablewriter/__pycache__/__version__.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/pytablewriter/__pycache__/__version__.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..1f4e4141352bef5647a37863b92a6e0bcae7b298
Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/pytablewriter/__pycache__/__version__.cpython-310.pyc differ
diff --git a/env-llmeval/lib/python3.10/site-packages/pytablewriter/__pycache__/_converter.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/pytablewriter/__pycache__/_converter.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..0b35b12121dcf3e39735032a91c1a444f16fec94
Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/pytablewriter/__pycache__/_converter.cpython-310.pyc differ
diff --git a/env-llmeval/lib/python3.10/site-packages/pytablewriter/__pycache__/_factory.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/pytablewriter/__pycache__/_factory.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..fa622b3691ed872d40bec02025f89878efd95dc7
Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/pytablewriter/__pycache__/_factory.cpython-310.pyc differ
diff --git a/env-llmeval/lib/python3.10/site-packages/pytablewriter/__pycache__/_function.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/pytablewriter/__pycache__/_function.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..9418d8581eb08970cffde131b41b972f506a4c60
Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/pytablewriter/__pycache__/_function.cpython-310.pyc differ
diff --git a/env-llmeval/lib/python3.10/site-packages/pytablewriter/__pycache__/_table_format.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/pytablewriter/__pycache__/_table_format.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..ae8634915c9a663eaa78a1ffe67237760b7a4876
Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/pytablewriter/__pycache__/_table_format.cpython-310.pyc differ
diff --git a/env-llmeval/lib/python3.10/site-packages/pytablewriter/__pycache__/error.cpython-310.pyc b/env-llmeval/lib/python3.10/site-packages/pytablewriter/__pycache__/error.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..5fe3eebff276fbfb6677ea665e575d663152be73
Binary files /dev/null and b/env-llmeval/lib/python3.10/site-packages/pytablewriter/__pycache__/error.cpython-310.pyc differ
diff --git a/env-llmeval/lib/python3.10/site-packages/pytablewriter/__version__.py b/env-llmeval/lib/python3.10/site-packages/pytablewriter/__version__.py
new file mode 100644
index 0000000000000000000000000000000000000000..6ed8c0e5f4906d9cf0bc7d6a4da939239bba0717
--- /dev/null
+++ b/env-llmeval/lib/python3.10/site-packages/pytablewriter/__version__.py
@@ -0,0 +1,6 @@
+__author__ = "Tsuyoshi Hombashi"
+__copyright__ = f"Copyright 2016, {__author__}"
+__license__ = "MIT License"
+__version__ = "1.2.0"
+__maintainer__ = __author__
+__email__ = "tsuyoshi.hombashi@gmail.com"
diff --git a/env-llmeval/lib/python3.10/site-packages/pytablewriter/_factory.py b/env-llmeval/lib/python3.10/site-packages/pytablewriter/_factory.py
new file mode 100644
index 0000000000000000000000000000000000000000..1b404bc0bc54d4a47fe3fd83b41b2e1d407ae53c
--- /dev/null
+++ b/env-llmeval/lib/python3.10/site-packages/pytablewriter/_factory.py
@@ -0,0 +1,274 @@
+"""
+.. codeauthor:: Tsuyoshi Hombashi 
+"""
+
+import os
+from itertools import chain
+from typing import Any, List
+
+import typepy
+
+from ._logger import logger
+from ._table_format import FormatAttr, TableFormat
+from .error import WriterNotFoundError
+from .writer import AbstractTableWriter
+
+
+class TableWriterFactory:
+    """
+    A factory class of table writer classes.
+    """
+
+    @classmethod
+    def create_from_file_extension(cls, file_extension: str, **kwargs: Any) -> AbstractTableWriter:
+        """
+        Create a table writer class instance from a file extension.
+        Supported file extensions are as follows:
+
+            ==================  ===================================
+            Extension           Writer Class
+            ==================  ===================================
+            ``".adoc"``         :py:class:`~.AsciiDocTableWriter`
+            ``".asciidoc"``     :py:class:`~.AsciiDocTableWriter`
+            ``".asc"``          :py:class:`~.AsciiDocTableWriter`
+            ``".css"``          :py:class:`~.CssTableWriter`
+            ``".csv"``          :py:class:`~.CsvTableWriter`
+            ``".htm"``          :py:class:`~.HtmlTableWriter`
+            ``".html"``         :py:class:`~.HtmlTableWriter`
+            ``".js"``           :py:class:`~.JavaScriptTableWriter`
+            ``".json"``         :py:class:`~.JsonTableWriter`
+            ``".jsonl"``        :py:class:`~.JsonLinesTableWriter`
+            ``".ltsv"``         :py:class:`~.LtsvTableWriter`
+            ``".ldjson"``       :py:class:`~.JsonLinesTableWriter`
+            ``".md"``           :py:class:`~.MarkdownTableWriter`
+            ``".ndjson"``       :py:class:`~.JsonLinesTableWriter`
+            ``".py"``           :py:class:`~.PythonCodeTableWriter`
+            ``".rst"``          :py:class:`~.RstGridTableWriter`
+            ``".tsv"``          :py:class:`~.TsvTableWriter`
+            ``".xls"``          :py:class:`~.ExcelXlsTableWriter`
+            ``".xlsx"``         :py:class:`~.ExcelXlsxTableWriter`
+            ``".sqlite"``       :py:class:`~.SqliteTableWriter`
+            ``".sqlite3"``      :py:class:`~.SqliteTableWriter`
+            ``".tsv"``          :py:class:`~.TsvTableWriter`
+            ``".toml"``         :py:class:`~.TomlTableWriter`
+            ``".yml"``          :py:class:`~.YamlTableWriter`
+            ==================  ===================================
+
+        :param str file_extension:
+            File extension string (case insensitive).
+        :param kwargs:
+            Keyword arguments that pass to a writer class constructor.
+        :return:
+            Writer instance that coincides with the ``file_extension``.
+        :rtype:
+            :py:class:`~pytablewriter.writer._table_writer.TableWriterInterface`
+        :raises pytablewriter.WriterNotFoundError:
+            |WriterNotFoundError_desc| the file extension.
+        """
+
+        ext = os.path.splitext(file_extension)[1]
+        if typepy.is_null_string(ext):
+            file_extension = file_extension
+        else:
+            file_extension = ext
+
+        file_extension = file_extension.lstrip(".").lower()
+
+        for table_format in TableFormat:
+            if file_extension not in table_format.file_extensions:
+                continue
+
+            if table_format.format_attribute & FormatAttr.SECONDARY_EXT:
+                continue
+
+            logger.debug(f"create a {table_format.writer_class} instance")
+
+            return table_format.writer_class(**kwargs)  # type: ignore
+
+        raise WriterNotFoundError(
+            "\n".join(
+                [
+                    f"{file_extension:s} (unknown file extension).",
+                    "",
+                    "acceptable file extensions are: {}.".format(", ".join(cls.get_extensions())),
+                ]
+            )
+        )
+
+    @classmethod
+    def create_from_format_name(cls, format_name: str, **kwargs: Any) -> AbstractTableWriter:
+        """
+        Create a table writer class instance from a format name.
+        Supported file format names are as follows:
+
+            =============================================  ===================================
+            Format name                                    Writer Class
+            =============================================  ===================================
+            ``"adoc"``                                     :py:class:`~.AsciiDocTableWriter`
+            ``"asciidoc"``                                 :py:class:`~.AsciiDocTableWriter`
+            ``"css"``                                      :py:class:`~.CssTableWriter`
+            ``"csv"``                                      :py:class:`~.CsvTableWriter`
+            ``"elasticsearch"``                            :py:class:`~.ElasticsearchWriter`
+            ``"excel"``                                    :py:class:`~.ExcelXlsxTableWriter`
+            ``"html"``/``"htm"``                           :py:class:`~.HtmlTableWriter`
+            ``"javascript"``/``"js"``                      :py:class:`~.JavaScriptTableWriter`
+            ``"json"``                                     :py:class:`~.JsonTableWriter`
+            ``"json_lines"``                               :py:class:`~.JsonLinesTableWriter`
+            ``"latex_matrix"``                             :py:class:`~.LatexMatrixWriter`
+            ``"latex_table"``                              :py:class:`~.LatexTableWriter`
+            ``"ldjson"``                                   :py:class:`~.JsonLinesTableWriter`
+            ``"ltsv"``                                     :py:class:`~.LtsvTableWriter`
+            ``"markdown"``/``"md"``                        :py:class:`~.MarkdownTableWriter`
+            ``"mediawiki"``                                :py:class:`~.MediaWikiTableWriter`
+            ``"null"``                                     :py:class:`~.NullTableWriter`
+            ``"pandas"``                                   :py:class:`~.PandasDataFrameWriter`
+            ``"py"``/``"python"``                          :py:class:`~.PythonCodeTableWriter`
+            ``"rst"``/``"rst_grid"``/``"rst_grid_table"``  :py:class:`~.RstGridTableWriter`
+            ``"rst_simple"``/``"rst_simple_table"``        :py:class:`~.RstSimpleTableWriter`
+            ``"rst_csv"``/``"rst_csv_table"``              :py:class:`~.RstCsvTableWriter`
+            ``"sqlite"``                                   :py:class:`~.SqliteTableWriter`
+            ``"ssv"``                                      :py:class:`~.SpaceAlignedTableWriter`
+            ``"tsv"``                                      :py:class:`~.TsvTableWriter`
+            ``"toml"``                                     :py:class:`~.TomlTableWriter`
+            ``"unicode"``                                  :py:class:`~.UnicodeTableWriter`
+            ``"yaml"``                                     :py:class:`~.YamlTableWriter`
+            =============================================  ===================================
+
+        :param str format_name:
+            Format name string (case insensitive).
+        :param kwargs:
+            Keyword arguments that pass to a writer class constructor.
+        :return:
+            Writer instance that coincides with the ``format_name``:
+        :rtype:
+            :py:class:`~pytablewriter.writer._table_writer.TableWriterInterface`
+        :raises pytablewriter.WriterNotFoundError:
+            |WriterNotFoundError_desc| for the format.
+        """
+
+        format_name = format_name.casefold()
+
+        for table_format in TableFormat:
+            if format_name in table_format.names and not (
+                table_format.format_attribute & FormatAttr.SECONDARY_NAME
+            ):
+                writer = table_format.writer_class(**kwargs)  # type: ignore
+                logger.debug(f"create a {writer.FORMAT_NAME} instance")
+
+                return writer
+
+        raise WriterNotFoundError(
+            "\n".join(
+                [
+                    f"{format_name} (unknown format name).",
+                    "acceptable format names are: {}.".format(", ".join(cls.get_format_names())),
+                ]
+            )
+        )
+
+    @classmethod
+    def get_format_names(cls) -> List[str]:
+        """
+        :return: Available format names.
+        :rtype: list
+
+        :Example:
+            .. code:: python
+
+                >>> import pytablewriter as ptw
+                >>> for name in ptw.TableWriterFactory.get_format_names():
+                ...     print(name)
+                ...
+                adoc
+                asciidoc
+                bold_unicode
+                borderless
+                css
+                csv
+                elasticsearch
+                excel
+                htm
+                html
+                javascript
+                js
+                json
+                json_lines
+                jsonl
+                latex_matrix
+                latex_table
+                ldjson
+                ltsv
+                markdown
+                md
+                mediawiki
+                ndjson
+                null
+                numpy
+                pandas
+                pandas_pickle
+                py
+                python
+                rst
+                rst_csv
+                rst_csv_table
+                rst_grid
+                rst_grid_table
+                rst_simple
+                rst_simple_table
+                space_aligned
+                sqlite
+                ssv
+                toml
+                tsv
+                unicode
+                yaml
+
+        """
+
+        return sorted(list(set(chain(*(table_format.names for table_format in TableFormat)))))
+
+    @classmethod
+    def get_extensions(cls) -> List[str]:
+        """
+        :return: Available file extensions.
+        :rtype: list
+
+        :Example:
+            .. code:: python
+
+                >>> import pytablewriter as ptw
+                >>> for name in ptw.TableWriterFactory.get_extensions():
+                ...     print(name)
+                ...
+                adoc
+                asc
+                asciidoc
+                css
+                csv
+                htm
+                html
+                js
+                json
+                jsonl
+                ldjson
+                ltsv
+                md
+                ndjson
+                py
+                rst
+                sqlite
+                sqlite3
+                tex
+                toml
+                tsv
+                xls
+                xlsx
+                yml
+        """
+
+        file_extension_set = set()
+        for table_format in TableFormat:
+            for file_extension in table_format.file_extensions:
+                file_extension_set.add(file_extension)
+
+        return sorted(list(file_extension_set))
diff --git a/env-llmeval/lib/python3.10/site-packages/pytablewriter/_function.py b/env-llmeval/lib/python3.10/site-packages/pytablewriter/_function.py
new file mode 100644
index 0000000000000000000000000000000000000000..b8e2bfca7c0c80ce1ff4ffe283e578da91523869
--- /dev/null
+++ b/env-llmeval/lib/python3.10/site-packages/pytablewriter/_function.py
@@ -0,0 +1,84 @@
+"""
+.. codeauthor:: Tsuyoshi Hombashi 
+"""
+
+from datetime import datetime
+from enum import Enum
+from typing import Any, Optional, Type
+
+import dataproperty
+from pathvalidate import replace_symbol
+from tabledata._core import TableData
+
+
+def quote_datetime_formatter(value: datetime) -> str:
+    return f'"{value.strftime(dataproperty.DefaultValue.DATETIME_FORMAT):s}"'
+
+
+def dateutil_datetime_formatter(value: datetime) -> str:
+    return 'dateutil.parser.parse("{:s}")'.format(
+        value.strftime(dataproperty.DefaultValue.DATETIME_FORMAT)
+    )
+
+
+def dumps_tabledata(value: TableData, format_name: str = "rst_grid_table", **kwargs: Any) -> str:
+    """
+    :param tabledata.TableData value: Tabular data to dump.
+    :param str format_name:
+        Dumped format name of tabular data.
+        Available formats are described in
+        :py:meth:`~pytablewriter.TableWriterFactory.create_from_format_name`
+
+    :Example:
+        .. code:: python
+
+            >>> dumps_tabledata(value)
+            .. table:: sample_data
+
+                ======  ======  ======
+                attr_a  attr_b  attr_c
+                ======  ======  ======
+                     1     4.0  a
+                     2     2.1  bb
+                     3   120.9  ccc
+                ======  ======  ======
+    """
+
+    from ._factory import TableWriterFactory
+
+    if not value:
+        raise TypeError("value must be a tabledata.TableData instance")
+
+    writer = TableWriterFactory.create_from_format_name(format_name)
+
+    for attr_name, attr_value in kwargs.items():
+        setattr(writer, attr_name, attr_value)
+
+    writer.from_tabledata(value)
+
+    return writer.dumps()
+
+
+def normalize_enum(
+    value: Any, enum_class: Type[Enum], validate: bool = True, default: Optional[Enum] = None
+) -> Any:
+    if value is None:
+        return default
+
+    if isinstance(value, enum_class):
+        return value
+
+    try:
+        return enum_class[replace_symbol(value.strip(), "_").upper()]
+    except AttributeError:
+        if validate:
+            raise TypeError(f"value must be a {enum_class} or a str: actual={type(value)}")
+    except KeyError:
+        if validate:
+            raise ValueError(
+                "invalid valid found: expected={}, actual={}".format(
+                    "/".join(item.name for item in enum_class), value
+                )
+            )
+
+    return value
diff --git a/env-llmeval/lib/python3.10/site-packages/pytablewriter/_table_format.py b/env-llmeval/lib/python3.10/site-packages/pytablewriter/_table_format.py
new file mode 100644
index 0000000000000000000000000000000000000000..785a3b4a49a5bd5331caf857bf64f1aa46c11965
--- /dev/null
+++ b/env-llmeval/lib/python3.10/site-packages/pytablewriter/_table_format.py
@@ -0,0 +1,353 @@
+"""
+.. codeauthor:: Tsuyoshi Hombashi 
+"""
+
+import enum
+from typing import List, Optional, Sequence
+
+from .writer import (
+    AbstractTableWriter,
+    AsciiDocTableWriter,
+    BoldUnicodeTableWriter,
+    BorderlessTableWriter,
+    CssTableWriter,
+    CsvTableWriter,
+    ElasticsearchWriter,
+    ExcelXlsTableWriter,
+    ExcelXlsxTableWriter,
+    HtmlTableWriter,
+    JavaScriptTableWriter,
+    JsonLinesTableWriter,
+    JsonTableWriter,
+    LatexMatrixWriter,
+    LatexTableWriter,
+    LtsvTableWriter,
+    MarkdownTableWriter,
+    MediaWikiTableWriter,
+    NullTableWriter,
+    NumpyTableWriter,
+    PandasDataFramePickleWriter,
+    PandasDataFrameWriter,
+    PythonCodeTableWriter,
+    RstCsvTableWriter,
+    RstGridTableWriter,
+    RstSimpleTableWriter,
+    SpaceAlignedTableWriter,
+    SqliteTableWriter,
+    TomlTableWriter,
+    TsvTableWriter,
+    UnicodeTableWriter,
+    YamlTableWriter,
+)
+
+
+class FormatAttr:
+    """
+    Bitmaps to represent table attributes.
+    """
+
+    NONE = 1 << 1
+
+    #: Can create a file with the format.
+    FILE = 1 << 2
+
+    #: Table format that can represent as a text.
+    TEXT = 1 << 3
+
+    #: Table format that can represent as a binary file.
+    BIN = 1 << 4
+
+    #: Can create a source code (variables definition)
+    #: one of the programming language.
+    SOURCECODE = 1 << 5
+
+    #: Can call API for external service.
+    API = 1 << 6
+
+    SECONDARY_EXT = 1 << 10
+    SECONDARY_NAME = 1 << 11
+
+
+@enum.unique
+class TableFormat(enum.Enum):
+    """
+    Enum to represent table format attributes.
+    """
+
+    ASCIIDOC = (
+        [AsciiDocTableWriter.FORMAT_NAME, "adoc"],
+        AsciiDocTableWriter,
+        FormatAttr.FILE | FormatAttr.TEXT,
+        ["adoc", "asciidoc", "asc"],
+    )
+    CSV = ([CsvTableWriter.FORMAT_NAME], CsvTableWriter, FormatAttr.FILE | FormatAttr.TEXT, ["csv"])
+    CSS = (
+        [CssTableWriter.FORMAT_NAME],
+        CssTableWriter,
+        FormatAttr.FILE | FormatAttr.TEXT,
+        ["css"],
+    )
+    ELASTICSEARCH = (
+        [ElasticsearchWriter.FORMAT_NAME],  # type: ignore
+        ElasticsearchWriter,
+        FormatAttr.API,
+        [],
+    )
+    EXCEL_XLSX = (
+        [ExcelXlsxTableWriter.FORMAT_NAME],
+        ExcelXlsxTableWriter,
+        FormatAttr.FILE | FormatAttr.BIN,
+        ["xlsx"],
+    )
+    EXCEL_XLS = (
+        [ExcelXlsTableWriter.FORMAT_NAME],
+        ExcelXlsTableWriter,
+        FormatAttr.FILE | FormatAttr.BIN | FormatAttr.SECONDARY_NAME,
+        ["xls"],
+    )
+    HTML = (
+        [HtmlTableWriter.FORMAT_NAME, "htm"],
+        HtmlTableWriter,
+        FormatAttr.FILE | FormatAttr.TEXT,
+        ["html", "htm"],
+    )
+    JAVASCRIPT = (
+        [JavaScriptTableWriter.FORMAT_NAME, "js"],
+        JavaScriptTableWriter,
+        FormatAttr.FILE | FormatAttr.TEXT | FormatAttr.SOURCECODE,
+        ["js"],
+    )
+    JSON = (
+        [JsonTableWriter.FORMAT_NAME],
+        JsonTableWriter,
+        FormatAttr.FILE | FormatAttr.TEXT,
+        ["json"],
+    )
+    JSON_LINES = (
+        [JsonLinesTableWriter.FORMAT_NAME, "jsonl", "ldjson", "ndjson"],
+        JsonLinesTableWriter,
+        FormatAttr.FILE | FormatAttr.TEXT,
+        ["jsonl", "ldjson", "ndjson"],
+    )
+    LATEX_MATRIX = (
+        [LatexMatrixWriter.FORMAT_NAME],
+        LatexMatrixWriter,
+        FormatAttr.FILE | FormatAttr.TEXT,
+        ["tex"],
+    )
+    LATEX_TABLE = (
+        [LatexTableWriter.FORMAT_NAME],
+        LatexTableWriter,
+        FormatAttr.FILE | FormatAttr.TEXT | FormatAttr.SECONDARY_EXT,
+        ["tex"],
+    )
+    LTSV = (
+        [LtsvTableWriter.FORMAT_NAME],
+        LtsvTableWriter,
+        FormatAttr.FILE | FormatAttr.TEXT,
+        ["ltsv"],
+    )
+    MARKDOWN = (
+        [MarkdownTableWriter.FORMAT_NAME, "md"],
+        MarkdownTableWriter,
+        FormatAttr.FILE | FormatAttr.TEXT,
+        ["md"],
+    )
+    MEDIAWIKI = (
+        [MediaWikiTableWriter.FORMAT_NAME],  # type: ignore
+        MediaWikiTableWriter,
+        FormatAttr.FILE | FormatAttr.TEXT,
+        [],
+    )
+    NULL = (
+        [NullTableWriter.FORMAT_NAME],  # type: ignore
+        NullTableWriter,
+        FormatAttr.NONE,
+        [],
+    )
+    NUMPY = (
+        [NumpyTableWriter.FORMAT_NAME],
+        NumpyTableWriter,
+        FormatAttr.FILE | FormatAttr.TEXT | FormatAttr.SOURCECODE | FormatAttr.SECONDARY_EXT,
+        ["py"],
+    )
+    PANDAS = (
+        [PandasDataFrameWriter.FORMAT_NAME],
+        PandasDataFrameWriter,
+        FormatAttr.FILE | FormatAttr.TEXT | FormatAttr.SOURCECODE | FormatAttr.SECONDARY_EXT,
+        ["py"],
+    )
+    PANDAS_PICKLE = (
+        [PandasDataFramePickleWriter.FORMAT_NAME],  # type: ignore
+        PandasDataFramePickleWriter,
+        FormatAttr.FILE | FormatAttr.BIN,
+        [],
+    )
+    PYTHON = (
+        [PythonCodeTableWriter.FORMAT_NAME, "py"],
+        PythonCodeTableWriter,
+        FormatAttr.FILE | FormatAttr.TEXT | FormatAttr.SOURCECODE,
+        ["py"],
+    )
+    RST_CSV_TABLE = (
+        [RstCsvTableWriter.FORMAT_NAME, "rst_csv"],
+        RstCsvTableWriter,
+        FormatAttr.FILE | FormatAttr.TEXT | FormatAttr.SECONDARY_EXT,
+        ["rst"],
+    )
+    RST_GRID_TABLE = (
+        [RstGridTableWriter.FORMAT_NAME, "rst_grid", "rst"],
+        RstGridTableWriter,
+        FormatAttr.FILE | FormatAttr.TEXT,
+        ["rst"],
+    )
+    RST_SIMPLE_TABLE = (
+        [RstSimpleTableWriter.FORMAT_NAME, "rst_simple"],
+        RstSimpleTableWriter,
+        FormatAttr.FILE | FormatAttr.TEXT | FormatAttr.SECONDARY_EXT,
+        ["rst"],
+    )
+    SPACE_ALIGNED = (
+        [SpaceAlignedTableWriter.FORMAT_NAME, "ssv"],  # type: ignore
+        SpaceAlignedTableWriter,
+        FormatAttr.FILE | FormatAttr.TEXT,
+        [],
+    )
+    SQLITE = (
+        [SqliteTableWriter.FORMAT_NAME],
+        SqliteTableWriter,
+        FormatAttr.FILE | FormatAttr.BIN,
+        ["sqlite", "sqlite3"],
+    )
+    TOML = (
+        [TomlTableWriter.FORMAT_NAME],
+        TomlTableWriter,
+        FormatAttr.FILE | FormatAttr.TEXT,
+        ["toml"],
+    )
+    TSV = ([TsvTableWriter.FORMAT_NAME], TsvTableWriter, FormatAttr.FILE | FormatAttr.TEXT, ["tsv"])
+    UNICODE = (
+        [UnicodeTableWriter.FORMAT_NAME],  # type: ignore
+        UnicodeTableWriter,
+        FormatAttr.TEXT,
+        [],
+    )
+    YAML = (
+        [YamlTableWriter.FORMAT_NAME],
+        YamlTableWriter,
+        FormatAttr.FILE | FormatAttr.TEXT,
+        ["yml"],
+    )
+    BOLD_UNICODE = (
+        [BoldUnicodeTableWriter.FORMAT_NAME],  # type: ignore
+        BoldUnicodeTableWriter,
+        FormatAttr.TEXT,
+        [],
+    )
+    BORDERLESS = (
+        [BorderlessTableWriter.FORMAT_NAME],  # type: ignore
+        BorderlessTableWriter,
+        FormatAttr.TEXT,
+        [],
+    )
+
+    @property
+    def names(self) -> List[str]:
+        """
+        List[str]: Names associated with the table format.
+        """
+
+        return self.__names
+
+    @property
+    def writer_class(self) -> AbstractTableWriter:
+        """
+        Type[AbstractTableWriter]: Table writer class object associated with the table format.
+        """
+
+        return self.__writer_class
+
+    @property
+    def format_attribute(self) -> int:
+        """
+        FormatAttr: Table attributes bitmap.
+        """
+
+        return self.__format_attribute
+
+    @property
+    def file_extensions(self) -> List[str]:
+        """
+        List[str]: File extensions associated with the table format.
+        """
+
+        return self.__file_extensions
+
+    def __init__(
+        self,
+        names: Sequence[str],
+        writer_class: AbstractTableWriter,
+        format_attribute: int,
+        file_extensions: Sequence[str],
+    ) -> None:
+        self.__names = list(names)
+        self.__writer_class = writer_class
+        self.__format_attribute = format_attribute
+        self.__file_extensions = list(file_extensions)
+
+    @classmethod
+    def find_all_attr(cls, format_attribute: int) -> List["TableFormat"]:
+        """Searching table formats that have specific attributes.
+
+        Args:
+            format_attribute (FormatAttr):
+                Table format attributes to look for.
+
+        Returns:
+            List[TableFormat]: Table formats that matched the attribute.
+        """
+
+        return [
+            table_format
+            for table_format in TableFormat
+            if table_format.format_attribute & format_attribute
+        ]
+
+    @classmethod
+    def from_name(cls, format_name: str) -> Optional["TableFormat"]:
+        """Get a table format from a format name.
+
+        Args:
+            format_name (str): Table format specifier.
+
+        Returns:
+            Optional[TableFormat]: A table format enum value corresponding to the ``format_name``.
+        """
+
+        format_name = format_name.casefold().strip()
+
+        for table_format in TableFormat:
+            if format_name in table_format.names:
+                return table_format
+
+        return None
+
+    @classmethod
+    def from_file_extension(cls, file_extension: str) -> Optional["TableFormat"]:
+        """Get a table format from a file extension.
+
+        Args:
+            file_extension (str): File extension.
+
+        Returns:
+            Optional[TableFormat]:
+                A table format enum value corresponding to the ``file_extension``.
+        """
+
+        ext = file_extension.lower().strip().lstrip(".")
+
+        for table_format in TableFormat:
+            if ext in table_format.file_extensions:
+                return table_format
+
+        return None
diff --git a/env-llmeval/lib/python3.10/site-packages/pytablewriter/_typing.py b/env-llmeval/lib/python3.10/site-packages/pytablewriter/_typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..ff4ec48320d495d703933b282718c6bd8035c3e8
--- /dev/null
+++ b/env-llmeval/lib/python3.10/site-packages/pytablewriter/_typing.py
@@ -0,0 +1,2855 @@
+# type: ignore
+
+"""
+source code from: python/typing/typing_extensions/src_py3/typing_extensions.py
+tag: 3.10.0.2
+
+Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010,
+2011, 2012, 2013, 2014 Python Software Foundation; All Rights Reserved
+
+https://github.com/python/typing/blob/3.10.0.2/LICENSE
+"""
+
+import abc
+import collections
+import contextlib
+import sys
+import typing
+import collections.abc as collections_abc
+import operator
+
+# These are used by Protocol implementation
+# We use internal typing helpers here, but this significantly reduces
+# code duplication. (Also this is only until Protocol is in typing.)
+from typing import Generic, Callable, TypeVar, Tuple
+
+# After PEP 560, internal typing API was substantially reworked.
+# This is especially important for Protocol class which uses internal APIs
+# quite extensivelly.
+PEP_560 = sys.version_info[:3] >= (3, 7, 0)
+
+if PEP_560:
+    GenericMeta = TypingMeta = type
+    from typing import _GenericAlias
+else:
+    from typing import GenericMeta, TypingMeta
+OLD_GENERICS = False
+try:
+    from typing import _type_vars, _next_in_mro, _type_check
+except ImportError:
+    OLD_GENERICS = True
+try:
+    from typing import _subs_tree  # noqa
+    SUBS_TREE = True
+except ImportError:
+    SUBS_TREE = False
+try:
+    from typing import _tp_cache
+except ImportError:
+    def _tp_cache(x):
+        return x
+try:
+    from typing import _TypingEllipsis, _TypingEmpty
+except ImportError:
+    class _TypingEllipsis:
+        pass
+
+    class _TypingEmpty:
+        pass
+
+
+# The two functions below are copies of typing internal helpers.
+# They are needed by _ProtocolMeta
+
+
+def _no_slots_copy(dct):
+    dict_copy = dict(dct)
+    if '__slots__' in dict_copy:
+        for slot in dict_copy['__slots__']:
+            dict_copy.pop(slot, None)
+    return dict_copy
+
+
+def _check_generic(cls, parameters):
+    if not cls.__parameters__:
+        raise TypeError("%s is not a generic class" % repr(cls))
+    alen = len(parameters)
+    elen = len(cls.__parameters__)
+    if alen != elen:
+        raise TypeError("Too %s parameters for %s; actual %s, expected %s" %
+                        ("many" if alen > elen else "few", repr(cls), alen, elen))
+
+
+if hasattr(typing, '_generic_new'):
+    _generic_new = typing._generic_new
+else:
+    # Note: The '_generic_new(...)' function is used as a part of the
+    # process of creating a generic type and was added to the typing module
+    # as of Python 3.5.3.
+    #
+    # We've defined '_generic_new(...)' below to exactly match the behavior
+    # implemented in older versions of 'typing' bundled with Python 3.5.0 to
+    # 3.5.2. This helps eliminate redundancy when defining collection types
+    # like 'Deque' later.
+    #
+    # See https://github.com/python/typing/pull/308 for more details -- in
+    # particular, compare and contrast the definition of types like
+    # 'typing.List' before and after the merge.
+
+    def _generic_new(base_cls, cls, *args, **kwargs):
+        return base_cls.__new__(cls, *args, **kwargs)
+
+# See https://github.com/python/typing/pull/439
+if hasattr(typing, '_geqv'):
+    from typing import _geqv
+    _geqv_defined = True
+else:
+    _geqv = None
+    _geqv_defined = False
+
+if sys.version_info[:2] >= (3, 6):
+    import _collections_abc
+    _check_methods_in_mro = _collections_abc._check_methods
+else:
+    def _check_methods_in_mro(C, *methods):
+        mro = C.__mro__
+        for method in methods:
+            for B in mro:
+                if method in B.__dict__:
+                    if B.__dict__[method] is None:
+                        return NotImplemented
+                    break
+            else:
+                return NotImplemented
+        return True
+
+
+# Please keep __all__ alphabetized within each category.
+__all__ = [
+    # Super-special typing primitives.
+    'ClassVar',
+    'Concatenate',
+    'Final',
+    'ParamSpec',
+    'Type',
+
+    # ABCs (from collections.abc).
+    # The following are added depending on presence
+    # of their non-generic counterparts in stdlib:
+    # 'Awaitable',
+    # 'AsyncIterator',
+    # 'AsyncIterable',
+    # 'Coroutine',
+    # 'AsyncGenerator',
+    # 'AsyncContextManager',
+    # 'ChainMap',
+
+    # Concrete collection types.
+    'ContextManager',
+    'Counter',
+    'Deque',
+    'DefaultDict',
+    'OrderedDict',
+    'TypedDict',
+
+    # Structural checks, a.k.a. protocols.
+    'SupportsIndex',
+
+    # One-off things.
+    'final',
+    'IntVar',
+    'Literal',
+    'NewType',
+    'overload',
+    'Text',
+    'TypeAlias',
+    'TypeGuard',
+    'TYPE_CHECKING',
+]
+
+# Annotated relies on substitution trees of pep 560. It will not work for
+# versions of typing older than 3.5.3
+HAVE_ANNOTATED = PEP_560 or SUBS_TREE
+
+if PEP_560:
+    __all__.extend(["get_args", "get_origin", "get_type_hints"])
+
+if HAVE_ANNOTATED:
+    __all__.append("Annotated")
+
+# Protocols are hard to backport to the original version of typing 3.5.0
+HAVE_PROTOCOLS = sys.version_info[:3] != (3, 5, 0)
+
+if HAVE_PROTOCOLS:
+    __all__.extend(['Protocol', 'runtime', 'runtime_checkable'])
+
+
+# TODO
+if hasattr(typing, 'NoReturn'):
+    NoReturn = typing.NoReturn
+elif hasattr(typing, '_FinalTypingBase'):
+    class _NoReturn(typing._FinalTypingBase, _root=True):
+        """Special type indicating functions that never return.
+        Example::
+
+          from typing import NoReturn
+
+          def stop() -> NoReturn:
+              raise Exception('no way')
+
+        This type is invalid in other positions, e.g., ``List[NoReturn]``
+        will fail in static type checkers.
+        """
+        __slots__ = ()
+
+        def __instancecheck__(self, obj):
+            raise TypeError("NoReturn cannot be used with isinstance().")
+
+        def __subclasscheck__(self, cls):
+            raise TypeError("NoReturn cannot be used with issubclass().")
+
+    NoReturn = _NoReturn(_root=True)
+else:
+    class _NoReturnMeta(typing.TypingMeta):
+        """Metaclass for NoReturn"""
+        def __new__(cls, name, bases, namespace, _root=False):
+            return super().__new__(cls, name, bases, namespace, _root=_root)
+
+        def __instancecheck__(self, obj):
+            raise TypeError("NoReturn cannot be used with isinstance().")
+
+        def __subclasscheck__(self, cls):
+            raise TypeError("NoReturn cannot be used with issubclass().")
+
+    class NoReturn(typing.Final, metaclass=_NoReturnMeta, _root=True):
+        """Special type indicating functions that never return.
+        Example::
+
+          from typing import NoReturn
+
+          def stop() -> NoReturn:
+              raise Exception('no way')
+
+        This type is invalid in other positions, e.g., ``List[NoReturn]``
+        will fail in static type checkers.
+        """
+        __slots__ = ()
+
+
+# Some unconstrained type variables.  These are used by the container types.
+# (These are not for export.)
+T = typing.TypeVar('T')  # Any type.
+KT = typing.TypeVar('KT')  # Key type.
+VT = typing.TypeVar('VT')  # Value type.
+T_co = typing.TypeVar('T_co', covariant=True)  # Any type covariant containers.
+V_co = typing.TypeVar('V_co', covariant=True)  # Any type covariant containers.
+VT_co = typing.TypeVar('VT_co', covariant=True)  # Value type covariant containers.
+T_contra = typing.TypeVar('T_contra', contravariant=True)  # Ditto contravariant.
+
+
+if hasattr(typing, 'ClassVar'):
+    ClassVar = typing.ClassVar
+elif hasattr(typing, '_FinalTypingBase'):
+    class _ClassVar(typing._FinalTypingBase, _root=True):
+        """Special type construct to mark class variables.
+
+        An annotation wrapped in ClassVar indicates that a given
+        attribute is intended to be used as a class variable and
+        should not be set on instances of that class. Usage::
+
+          class Starship:
+              stats: ClassVar[Dict[str, int]] = {} # class variable
+              damage: int = 10                     # instance variable
+
+        ClassVar accepts only types and cannot be further subscribed.
+
+        Note that ClassVar is not a class itself, and should not
+        be used with isinstance() or issubclass().
+        """
+
+        __slots__ = ('__type__',)
+
+        def __init__(self, tp=None, **kwds):
+            self.__type__ = tp
+
+        def __getitem__(self, item):
+            cls = type(self)
+            if self.__type__ is None:
+                return cls(typing._type_check(item,
+                           '{} accepts only single type.'.format(cls.__name__[1:])),
+                           _root=True)
+            raise TypeError('{} cannot be further subscripted'
+                            .format(cls.__name__[1:]))
+
+        def _eval_type(self, globalns, localns):
+            new_tp = typing._eval_type(self.__type__, globalns, localns)
+            if new_tp == self.__type__:
+                return self
+            return type(self)(new_tp, _root=True)
+
+        def __repr__(self):
+            r = super().__repr__()
+            if self.__type__ is not None:
+                r += '[{}]'.format(typing._type_repr(self.__type__))
+            return r
+
+        def __hash__(self):
+            return hash((type(self).__name__, self.__type__))
+
+        def __eq__(self, other):
+            if not isinstance(other, _ClassVar):
+                return NotImplemented
+            if self.__type__ is not None:
+                return self.__type__ == other.__type__
+            return self is other
+
+    ClassVar = _ClassVar(_root=True)
+else:
+    class _ClassVarMeta(typing.TypingMeta):
+        """Metaclass for ClassVar"""
+
+        def __new__(cls, name, bases, namespace, tp=None, _root=False):
+            self = super().__new__(cls, name, bases, namespace, _root=_root)
+            if tp is not None:
+                self.__type__ = tp
+            return self
+
+        def __instancecheck__(self, obj):
+            raise TypeError("ClassVar cannot be used with isinstance().")
+
+        def __subclasscheck__(self, cls):
+            raise TypeError("ClassVar cannot be used with issubclass().")
+
+        def __getitem__(self, item):
+            cls = type(self)
+            if self.__type__ is not None:
+                raise TypeError('{} cannot be further subscripted'
+                                .format(cls.__name__[1:]))
+
+            param = typing._type_check(
+                item,
+                '{} accepts only single type.'.format(cls.__name__[1:]))
+            return cls(self.__name__, self.__bases__,
+                       dict(self.__dict__), tp=param, _root=True)
+
+        def _eval_type(self, globalns, localns):
+            new_tp = typing._eval_type(self.__type__, globalns, localns)
+            if new_tp == self.__type__:
+                return self
+            return type(self)(self.__name__, self.__bases__,
+                              dict(self.__dict__), tp=self.__type__,
+                              _root=True)
+
+        def __repr__(self):
+            r = super().__repr__()
+            if self.__type__ is not None:
+                r += '[{}]'.format(typing._type_repr(self.__type__))
+            return r
+
+        def __hash__(self):
+            return hash((type(self).__name__, self.__type__))
+
+        def __eq__(self, other):
+            if not isinstance(other, ClassVar):
+                return NotImplemented
+            if self.__type__ is not None:
+                return self.__type__ == other.__type__
+            return self is other
+
+    class ClassVar(typing.Final, metaclass=_ClassVarMeta, _root=True):
+        """Special type construct to mark class variables.
+
+        An annotation wrapped in ClassVar indicates that a given
+        attribute is intended to be used as a class variable and
+        should not be set on instances of that class. Usage::
+
+          class Starship:
+              stats: ClassVar[Dict[str, int]] = {} # class variable
+              damage: int = 10                     # instance variable
+
+        ClassVar accepts only types and cannot be further subscribed.
+
+        Note that ClassVar is not a class itself, and should not
+        be used with isinstance() or issubclass().
+        """
+
+        __type__ = None
+
+# On older versions of typing there is an internal class named "Final".
+if hasattr(typing, 'Final') and sys.version_info[:2] >= (3, 7):
+    Final = typing.Final
+elif sys.version_info[:2] >= (3, 7):
+    class _FinalForm(typing._SpecialForm, _root=True):
+
+        def __repr__(self):
+            return 'typing_extensions.' + self._name
+
+        def __getitem__(self, parameters):
+            item = typing._type_check(parameters,
+                                      '{} accepts only single type'.format(self._name))
+            return _GenericAlias(self, (item,))
+
+    Final = _FinalForm('Final',
+                       doc="""A special typing construct to indicate that a name
+                       cannot be re-assigned or overridden in a subclass.
+                       For example:
+
+                           MAX_SIZE: Final = 9000
+                           MAX_SIZE += 1  # Error reported by type checker
+
+                           class Connection:
+                               TIMEOUT: Final[int] = 10
+                           class FastConnector(Connection):
+                               TIMEOUT = 1  # Error reported by type checker
+
+                       There is no runtime checking of these properties.""")
+elif hasattr(typing, '_FinalTypingBase'):
+    class _Final(typing._FinalTypingBase, _root=True):
+        """A special typing construct to indicate that a name
+        cannot be re-assigned or overridden in a subclass.
+        For example:
+
+            MAX_SIZE: Final = 9000
+            MAX_SIZE += 1  # Error reported by type checker
+
+            class Connection:
+                TIMEOUT: Final[int] = 10
+            class FastConnector(Connection):
+                TIMEOUT = 1  # Error reported by type checker
+
+        There is no runtime checking of these properties.
+        """
+
+        __slots__ = ('__type__',)
+
+        def __init__(self, tp=None, **kwds):
+            self.__type__ = tp
+
+        def __getitem__(self, item):
+            cls = type(self)
+            if self.__type__ is None:
+                return cls(typing._type_check(item,
+                           '{} accepts only single type.'.format(cls.__name__[1:])),
+                           _root=True)
+            raise TypeError('{} cannot be further subscripted'
+                            .format(cls.__name__[1:]))
+
+        def _eval_type(self, globalns, localns):
+            new_tp = typing._eval_type(self.__type__, globalns, localns)
+            if new_tp == self.__type__:
+                return self
+            return type(self)(new_tp, _root=True)
+
+        def __repr__(self):
+            r = super().__repr__()
+            if self.__type__ is not None:
+                r += '[{}]'.format(typing._type_repr(self.__type__))
+            return r
+
+        def __hash__(self):
+            return hash((type(self).__name__, self.__type__))
+
+        def __eq__(self, other):
+            if not isinstance(other, _Final):
+                return NotImplemented
+            if self.__type__ is not None:
+                return self.__type__ == other.__type__
+            return self is other
+
+    Final = _Final(_root=True)
+else:
+    class _FinalMeta(typing.TypingMeta):
+        """Metaclass for Final"""
+
+        def __new__(cls, name, bases, namespace, tp=None, _root=False):
+            self = super().__new__(cls, name, bases, namespace, _root=_root)
+            if tp is not None:
+                self.__type__ = tp
+            return self
+
+        def __instancecheck__(self, obj):
+            raise TypeError("Final cannot be used with isinstance().")
+
+        def __subclasscheck__(self, cls):
+            raise TypeError("Final cannot be used with issubclass().")
+
+        def __getitem__(self, item):
+            cls = type(self)
+            if self.__type__ is not None:
+                raise TypeError('{} cannot be further subscripted'
+                                .format(cls.__name__[1:]))
+
+            param = typing._type_check(
+                item,
+                '{} accepts only single type.'.format(cls.__name__[1:]))
+            return cls(self.__name__, self.__bases__,
+                       dict(self.__dict__), tp=param, _root=True)
+
+        def _eval_type(self, globalns, localns):
+            new_tp = typing._eval_type(self.__type__, globalns, localns)
+            if new_tp == self.__type__:
+                return self
+            return type(self)(self.__name__, self.__bases__,
+                              dict(self.__dict__), tp=self.__type__,
+                              _root=True)
+
+        def __repr__(self):
+            r = super().__repr__()
+            if self.__type__ is not None:
+                r += '[{}]'.format(typing._type_repr(self.__type__))
+            return r
+
+        def __hash__(self):
+            return hash((type(self).__name__, self.__type__))
+
+        def __eq__(self, other):
+            if not isinstance(other, Final):
+                return NotImplemented
+            if self.__type__ is not None:
+                return self.__type__ == other.__type__
+            return self is other
+
+    class Final(typing.Final, metaclass=_FinalMeta, _root=True):
+        """A special typing construct to indicate that a name
+        cannot be re-assigned or overridden in a subclass.
+        For example:
+
+            MAX_SIZE: Final = 9000
+            MAX_SIZE += 1  # Error reported by type checker
+
+            class Connection:
+                TIMEOUT: Final[int] = 10
+            class FastConnector(Connection):
+                TIMEOUT = 1  # Error reported by type checker
+
+        There is no runtime checking of these properties.
+        """
+
+        __type__ = None
+
+
+if hasattr(typing, 'final'):
+    final = typing.final
+else:
+    def final(f):
+        """This decorator can be used to indicate to type checkers that
+        the decorated method cannot be overridden, and decorated class
+        cannot be subclassed. For example:
+
+            class Base:
+                @final
+                def done(self) -> None:
+                    ...
+            class Sub(Base):
+                def done(self) -> None:  # Error reported by type checker
+                    ...
+            @final
+            class Leaf:
+                ...
+            class Other(Leaf):  # Error reported by type checker
+                ...
+
+        There is no runtime checking of these properties.
+        """
+        return f
+
+
+def IntVar(name):
+    return TypeVar(name)
+
+
+if hasattr(typing, 'Literal'):
+    Literal = typing.Literal
+elif sys.version_info[:2] >= (3, 7):
+    class _LiteralForm(typing._SpecialForm, _root=True):
+
+        def __repr__(self):
+            return 'typing_extensions.' + self._name
+
+        def __getitem__(self, parameters):
+            return _GenericAlias(self, parameters)
+
+    Literal = _LiteralForm('Literal',
+                           doc="""A type that can be used to indicate to type checkers
+                           that the corresponding value has a value literally equivalent
+                           to the provided parameter. For example:
+
+                               var: Literal[4] = 4
+
+                           The type checker understands that 'var' is literally equal to
+                           the value 4 and no other value.
+
+                           Literal[...] cannot be subclassed. There is no runtime
+                           checking verifying that the parameter is actually a value
+                           instead of a type.""")
+elif hasattr(typing, '_FinalTypingBase'):
+    class _Literal(typing._FinalTypingBase, _root=True):
+        """A type that can be used to indicate to type checkers that the
+        corresponding value has a value literally equivalent to the
+        provided parameter. For example:
+
+            var: Literal[4] = 4
+
+        The type checker understands that 'var' is literally equal to the
+        value 4 and no other value.
+
+        Literal[...] cannot be subclassed. There is no runtime checking
+        verifying that the parameter is actually a value instead of a type.
+        """
+
+        __slots__ = ('__values__',)
+
+        def __init__(self, values=None, **kwds):
+            self.__values__ = values
+
+        def __getitem__(self, values):
+            cls = type(self)
+            if self.__values__ is None:
+                if not isinstance(values, tuple):
+                    values = (values,)
+                return cls(values, _root=True)
+            raise TypeError('{} cannot be further subscripted'
+                            .format(cls.__name__[1:]))
+
+        def _eval_type(self, globalns, localns):
+            return self
+
+        def __repr__(self):
+            r = super().__repr__()
+            if self.__values__ is not None:
+                r += '[{}]'.format(', '.join(map(typing._type_repr, self.__values__)))
+            return r
+
+        def __hash__(self):
+            return hash((type(self).__name__, self.__values__))
+
+        def __eq__(self, other):
+            if not isinstance(other, _Literal):
+                return NotImplemented
+            if self.__values__ is not None:
+                return self.__values__ == other.__values__
+            return self is other
+
+    Literal = _Literal(_root=True)
+else:
+    class _LiteralMeta(typing.TypingMeta):
+        """Metaclass for Literal"""
+
+        def __new__(cls, name, bases, namespace, values=None, _root=False):
+            self = super().__new__(cls, name, bases, namespace, _root=_root)
+            if values is not None:
+                self.__values__ = values
+            return self
+
+        def __instancecheck__(self, obj):
+            raise TypeError("Literal cannot be used with isinstance().")
+
+        def __subclasscheck__(self, cls):
+            raise TypeError("Literal cannot be used with issubclass().")
+
+        def __getitem__(self, item):
+            cls = type(self)
+            if self.__values__ is not None:
+                raise TypeError('{} cannot be further subscripted'
+                                .format(cls.__name__[1:]))
+
+            if not isinstance(item, tuple):
+                item = (item,)
+            return cls(self.__name__, self.__bases__,
+                       dict(self.__dict__), values=item, _root=True)
+
+        def _eval_type(self, globalns, localns):
+            return self
+
+        def __repr__(self):
+            r = super().__repr__()
+            if self.__values__ is not None:
+                r += '[{}]'.format(', '.join(map(typing._type_repr, self.__values__)))
+            return r
+
+        def __hash__(self):
+            return hash((type(self).__name__, self.__values__))
+
+        def __eq__(self, other):
+            if not isinstance(other, Literal):
+                return NotImplemented
+            if self.__values__ is not None:
+                return self.__values__ == other.__values__
+            return self is other
+
+    class Literal(typing.Final, metaclass=_LiteralMeta, _root=True):
+        """A type that can be used to indicate to type checkers that the
+        corresponding value has a value literally equivalent to the
+        provided parameter. For example:
+
+            var: Literal[4] = 4
+
+        The type checker understands that 'var' is literally equal to the
+        value 4 and no other value.
+
+        Literal[...] cannot be subclassed. There is no runtime checking
+        verifying that the parameter is actually a value instead of a type.
+        """
+
+        __values__ = None
+
+
+def _overload_dummy(*args, **kwds):
+    """Helper for @overload to raise when called."""
+    raise NotImplementedError(
+        "You should not call an overloaded function. "
+        "A series of @overload-decorated functions "
+        "outside a stub module should always be followed "
+        "by an implementation that is not @overload-ed.")
+
+
+def overload(func):
+    """Decorator for overloaded functions/methods.
+
+    In a stub file, place two or more stub definitions for the same
+    function in a row, each decorated with @overload.  For example:
+
+      @overload
+      def utf8(value: None) -> None: ...
+      @overload
+      def utf8(value: bytes) -> bytes: ...
+      @overload
+      def utf8(value: str) -> bytes: ...
+
+    In a non-stub file (i.e. a regular .py file), do the same but
+    follow it with an implementation.  The implementation should *not*
+    be decorated with @overload.  For example:
+
+      @overload
+      def utf8(value: None) -> None: ...
+      @overload
+      def utf8(value: bytes) -> bytes: ...
+      @overload
+      def utf8(value: str) -> bytes: ...
+      def utf8(value):
+          # implementation goes here
+    """
+    return _overload_dummy
+
+
+# This is not a real generic class.  Don't use outside annotations.
+if hasattr(typing, 'Type'):
+    Type = typing.Type
+else:
+    # Internal type variable used for Type[].
+    CT_co = typing.TypeVar('CT_co', covariant=True, bound=type)
+
+    class Type(typing.Generic[CT_co], extra=type):
+        """A special construct usable to annotate class objects.
+
+        For example, suppose we have the following classes::
+
+          class User: ...  # Abstract base for User classes
+          class BasicUser(User): ...
+          class ProUser(User): ...
+          class TeamUser(User): ...
+
+        And a function that takes a class argument that's a subclass of
+        User and returns an instance of the corresponding class::
+
+          U = TypeVar('U', bound=User)
+          def new_user(user_class: Type[U]) -> U:
+              user = user_class()
+              # (Here we could write the user object to a database)
+              return user
+          joe = new_user(BasicUser)
+
+        At this point the type checker knows that joe has type BasicUser.
+        """
+
+        __slots__ = ()
+
+
+# Various ABCs mimicking those in collections.abc.
+# A few are simply re-exported for completeness.
+
+def _define_guard(type_name):
+    """
+    Returns True if the given type isn't defined in typing but
+    is defined in collections_abc.
+
+    Adds the type to __all__ if the collection is found in either
+    typing or collection_abc.
+    """
+    if hasattr(typing, type_name):
+        __all__.append(type_name)
+        globals()[type_name] = getattr(typing, type_name)
+        return False
+    elif hasattr(collections_abc, type_name):
+        __all__.append(type_name)
+        return True
+    else:
+        return False
+
+
+class _ExtensionsGenericMeta(GenericMeta):
+    def __subclasscheck__(self, subclass):
+        """This mimics a more modern GenericMeta.__subclasscheck__() logic
+        (that does not have problems with recursion) to work around interactions
+        between collections, typing, and typing_extensions on older
+        versions of Python, see https://github.com/python/typing/issues/501.
+        """
+        if sys.version_info[:3] >= (3, 5, 3) or sys.version_info[:3] < (3, 5, 0):
+            if self.__origin__ is not None:
+                if sys._getframe(1).f_globals['__name__'] not in ['abc', 'functools']:
+                    raise TypeError("Parameterized generics cannot be used with class "
+                                    "or instance checks")
+                return False
+        if not self.__extra__:
+            return super().__subclasscheck__(subclass)
+        res = self.__extra__.__subclasshook__(subclass)
+        if res is not NotImplemented:
+            return res
+        if self.__extra__ in subclass.__mro__:
+            return True
+        for scls in self.__extra__.__subclasses__():
+            if isinstance(scls, GenericMeta):
+                continue
+            if issubclass(subclass, scls):
+                return True
+        return False
+
+
+if _define_guard('Awaitable'):
+    class Awaitable(typing.Generic[T_co], metaclass=_ExtensionsGenericMeta,
+                    extra=collections_abc.Awaitable):
+        __slots__ = ()
+
+
+if _define_guard('Coroutine'):
+    class Coroutine(Awaitable[V_co], typing.Generic[T_co, T_contra, V_co],
+                    metaclass=_ExtensionsGenericMeta,
+                    extra=collections_abc.Coroutine):
+        __slots__ = ()
+
+
+if _define_guard('AsyncIterable'):
+    class AsyncIterable(typing.Generic[T_co],
+                        metaclass=_ExtensionsGenericMeta,
+                        extra=collections_abc.AsyncIterable):
+        __slots__ = ()
+
+
+if _define_guard('AsyncIterator'):
+    class AsyncIterator(AsyncIterable[T_co],
+                        metaclass=_ExtensionsGenericMeta,
+                        extra=collections_abc.AsyncIterator):
+        __slots__ = ()
+
+
+if hasattr(typing, 'Deque'):
+    Deque = typing.Deque
+elif _geqv_defined:
+    class Deque(collections.deque, typing.MutableSequence[T],
+                metaclass=_ExtensionsGenericMeta,
+                extra=collections.deque):
+        __slots__ = ()
+
+        def __new__(cls, *args, **kwds):
+            if _geqv(cls, Deque):
+                return collections.deque(*args, **kwds)
+            return _generic_new(collections.deque, cls, *args, **kwds)
+else:
+    class Deque(collections.deque, typing.MutableSequence[T],
+                metaclass=_ExtensionsGenericMeta,
+                extra=collections.deque):
+        __slots__ = ()
+
+        def __new__(cls, *args, **kwds):
+            if cls._gorg is Deque:
+                return collections.deque(*args, **kwds)
+            return _generic_new(collections.deque, cls, *args, **kwds)
+
+
+if hasattr(typing, 'ContextManager'):
+    ContextManager = typing.ContextManager
+elif hasattr(contextlib, 'AbstractContextManager'):
+    class ContextManager(typing.Generic[T_co],
+                         metaclass=_ExtensionsGenericMeta,
+                         extra=contextlib.AbstractContextManager):
+        __slots__ = ()
+else:
+    class ContextManager(typing.Generic[T_co]):
+        __slots__ = ()
+
+        def __enter__(self):
+            return self
+
+        @abc.abstractmethod
+        def __exit__(self, exc_type, exc_value, traceback):
+            return None
+
+        @classmethod
+        def __subclasshook__(cls, C):
+            if cls is ContextManager:
+                # In Python 3.6+, it is possible to set a method to None to
+                # explicitly indicate that the class does not implement an ABC
+                # (https://bugs.python.org/issue25958), but we do not support
+                # that pattern here because this fallback class is only used
+                # in Python 3.5 and earlier.
+                if (any("__enter__" in B.__dict__ for B in C.__mro__) and
+                    any("__exit__" in B.__dict__ for B in C.__mro__)):
+                    return True
+            return NotImplemented
+
+
+if hasattr(typing, 'AsyncContextManager'):
+    AsyncContextManager = typing.AsyncContextManager
+    __all__.append('AsyncContextManager')
+elif hasattr(contextlib, 'AbstractAsyncContextManager'):
+    class AsyncContextManager(typing.Generic[T_co],
+                              metaclass=_ExtensionsGenericMeta,
+                              extra=contextlib.AbstractAsyncContextManager):
+        __slots__ = ()
+
+    __all__.append('AsyncContextManager')
+elif sys.version_info[:2] >= (3, 5):
+    exec("""
+class AsyncContextManager(typing.Generic[T_co]):
+    __slots__ = ()
+
+    async def __aenter__(self):
+        return self
+
+    @abc.abstractmethod
+    async def __aexit__(self, exc_type, exc_value, traceback):
+        return None
+
+    @classmethod
+    def __subclasshook__(cls, C):
+        if cls is AsyncContextManager:
+            return _check_methods_in_mro(C, "__aenter__", "__aexit__")
+        return NotImplemented
+
+__all__.append('AsyncContextManager')
+""")
+
+
+if hasattr(typing, 'DefaultDict'):
+    DefaultDict = typing.DefaultDict
+elif _geqv_defined:
+    class DefaultDict(collections.defaultdict, typing.MutableMapping[KT, VT],
+                      metaclass=_ExtensionsGenericMeta,
+                      extra=collections.defaultdict):
+
+        __slots__ = ()
+
+        def __new__(cls, *args, **kwds):
+            if _geqv(cls, DefaultDict):
+                return collections.defaultdict(*args, **kwds)
+            return _generic_new(collections.defaultdict, cls, *args, **kwds)
+else:
+    class DefaultDict(collections.defaultdict, typing.MutableMapping[KT, VT],
+                      metaclass=_ExtensionsGenericMeta,
+                      extra=collections.defaultdict):
+
+        __slots__ = ()
+
+        def __new__(cls, *args, **kwds):
+            if cls._gorg is DefaultDict:
+                return collections.defaultdict(*args, **kwds)
+            return _generic_new(collections.defaultdict, cls, *args, **kwds)
+
+
+if hasattr(typing, 'OrderedDict'):
+    OrderedDict = typing.OrderedDict
+elif (3, 7, 0) <= sys.version_info[:3] < (3, 7, 2):
+    OrderedDict = typing._alias(collections.OrderedDict, (KT, VT))
+elif _geqv_defined:
+    class OrderedDict(collections.OrderedDict, typing.MutableMapping[KT, VT],
+                      metaclass=_ExtensionsGenericMeta,
+                      extra=collections.OrderedDict):
+
+        __slots__ = ()
+
+        def __new__(cls, *args, **kwds):
+            if _geqv(cls, OrderedDict):
+                return collections.OrderedDict(*args, **kwds)
+            return _generic_new(collections.OrderedDict, cls, *args, **kwds)
+else:
+    class OrderedDict(collections.OrderedDict, typing.MutableMapping[KT, VT],
+                      metaclass=_ExtensionsGenericMeta,
+                      extra=collections.OrderedDict):
+
+        __slots__ = ()
+
+        def __new__(cls, *args, **kwds):
+            if cls._gorg is OrderedDict:
+                return collections.OrderedDict(*args, **kwds)
+            return _generic_new(collections.OrderedDict, cls, *args, **kwds)
+
+
+if hasattr(typing, 'Counter'):
+    Counter = typing.Counter
+elif (3, 5, 0) <= sys.version_info[:3] <= (3, 5, 1):
+    assert _geqv_defined
+    _TInt = typing.TypeVar('_TInt')
+
+    class _CounterMeta(typing.GenericMeta):
+        """Metaclass for Counter"""
+        def __getitem__(self, item):
+            return super().__getitem__((item, int))
+
+    class Counter(collections.Counter,
+                  typing.Dict[T, int],
+                  metaclass=_CounterMeta,
+                  extra=collections.Counter):
+
+        __slots__ = ()
+
+        def __new__(cls, *args, **kwds):
+            if _geqv(cls, Counter):
+                return collections.Counter(*args, **kwds)
+            return _generic_new(collections.Counter, cls, *args, **kwds)
+
+elif _geqv_defined:
+    class Counter(collections.Counter,
+                  typing.Dict[T, int],
+                  metaclass=_ExtensionsGenericMeta, extra=collections.Counter):
+
+        __slots__ = ()
+
+        def __new__(cls, *args, **kwds):
+            if _geqv(cls, Counter):
+                return collections.Counter(*args, **kwds)
+            return _generic_new(collections.Counter, cls, *args, **kwds)
+
+else:
+    class Counter(collections.Counter,
+                  typing.Dict[T, int],
+                  metaclass=_ExtensionsGenericMeta, extra=collections.Counter):
+
+        __slots__ = ()
+
+        def __new__(cls, *args, **kwds):
+            if cls._gorg is Counter:
+                return collections.Counter(*args, **kwds)
+            return _generic_new(collections.Counter, cls, *args, **kwds)
+
+
+if hasattr(typing, 'ChainMap'):
+    ChainMap = typing.ChainMap
+    __all__.append('ChainMap')
+elif hasattr(collections, 'ChainMap'):
+    # ChainMap only exists in 3.3+
+    if _geqv_defined:
+        class ChainMap(collections.ChainMap, typing.MutableMapping[KT, VT],
+                       metaclass=_ExtensionsGenericMeta,
+                       extra=collections.ChainMap):
+
+            __slots__ = ()
+
+            def __new__(cls, *args, **kwds):
+                if _geqv(cls, ChainMap):
+                    return collections.ChainMap(*args, **kwds)
+                return _generic_new(collections.ChainMap, cls, *args, **kwds)
+    else:
+        class ChainMap(collections.ChainMap, typing.MutableMapping[KT, VT],
+                       metaclass=_ExtensionsGenericMeta,
+                       extra=collections.ChainMap):
+
+            __slots__ = ()
+
+            def __new__(cls, *args, **kwds):
+                if cls._gorg is ChainMap:
+                    return collections.ChainMap(*args, **kwds)
+                return _generic_new(collections.ChainMap, cls, *args, **kwds)
+
+    __all__.append('ChainMap')
+
+
+if _define_guard('AsyncGenerator'):
+    class AsyncGenerator(AsyncIterator[T_co], typing.Generic[T_co, T_contra],
+                         metaclass=_ExtensionsGenericMeta,
+                         extra=collections_abc.AsyncGenerator):
+        __slots__ = ()
+
+
+if hasattr(typing, 'NewType'):
+    NewType = typing.NewType
+else:
+    def NewType(name, tp):
+        """NewType creates simple unique types with almost zero
+        runtime overhead. NewType(name, tp) is considered a subtype of tp
+        by static type checkers. At runtime, NewType(name, tp) returns
+        a dummy function that simply returns its argument. Usage::
+
+            UserId = NewType('UserId', int)
+
+            def name_by_id(user_id: UserId) -> str:
+                ...
+
+            UserId('user')          # Fails type check
+
+            name_by_id(42)          # Fails type check
+            name_by_id(UserId(42))  # OK
+
+            num = UserId(5) + 1     # type: int
+        """
+
+        def new_type(x):
+            return x
+
+        new_type.__name__ = name
+        new_type.__supertype__ = tp
+        return new_type
+
+
+if hasattr(typing, 'Text'):
+    Text = typing.Text
+else:
+    Text = str
+
+
+if hasattr(typing, 'TYPE_CHECKING'):
+    TYPE_CHECKING = typing.TYPE_CHECKING
+else:
+    # Constant that's True when type checking, but False here.
+    TYPE_CHECKING = False
+
+
+def _gorg(cls):
+    """This function exists for compatibility with old typing versions."""
+    assert isinstance(cls, GenericMeta)
+    if hasattr(cls, '_gorg'):
+        return cls._gorg
+    while cls.__origin__ is not None:
+        cls = cls.__origin__
+    return cls
+
+
+if OLD_GENERICS:
+    def _next_in_mro(cls):  # noqa
+        """This function exists for compatibility with old typing versions."""
+        next_in_mro = object
+        for i, c in enumerate(cls.__mro__[:-1]):
+            if isinstance(c, GenericMeta) and _gorg(c) is Generic:
+                next_in_mro = cls.__mro__[i + 1]
+        return next_in_mro
+
+
+_PROTO_WHITELIST = ['Callable', 'Awaitable',
+                    'Iterable', 'Iterator', 'AsyncIterable', 'AsyncIterator',
+                    'Hashable', 'Sized', 'Container', 'Collection', 'Reversible',
+                    'ContextManager', 'AsyncContextManager']
+
+
+def _get_protocol_attrs(cls):
+    attrs = set()
+    for base in cls.__mro__[:-1]:  # without object
+        if base.__name__ in ('Protocol', 'Generic'):
+            continue
+        annotations = getattr(base, '__annotations__', {})
+        for attr in list(base.__dict__.keys()) + list(annotations.keys()):
+            if (not attr.startswith('_abc_') and attr not in (
+                    '__abstractmethods__', '__annotations__', '__weakref__',
+                    '_is_protocol', '_is_runtime_protocol', '__dict__',
+                    '__args__', '__slots__',
+                    '__next_in_mro__', '__parameters__', '__origin__',
+                    '__orig_bases__', '__extra__', '__tree_hash__',
+                    '__doc__', '__subclasshook__', '__init__', '__new__',
+                    '__module__', '_MutableMapping__marker', '_gorg')):
+                attrs.add(attr)
+    return attrs
+
+
+def _is_callable_members_only(cls):
+    return all(callable(getattr(cls, attr, None)) for attr in _get_protocol_attrs(cls))
+
+
+if hasattr(typing, 'Protocol'):
+    Protocol = typing.Protocol
+elif HAVE_PROTOCOLS and not PEP_560:
+
+    def _no_init(self, *args, **kwargs):
+        if type(self)._is_protocol:
+            raise TypeError('Protocols cannot be instantiated')
+
+    class _ProtocolMeta(GenericMeta):
+        """Internal metaclass for Protocol.
+
+        This exists so Protocol classes can be generic without deriving
+        from Generic.
+        """
+        if not OLD_GENERICS:
+            def __new__(cls, name, bases, namespace,
+                        tvars=None, args=None, origin=None, extra=None, orig_bases=None):
+                # This is just a version copied from GenericMeta.__new__ that
+                # includes "Protocol" special treatment. (Comments removed for brevity.)
+                assert extra is None  # Protocols should not have extra
+                if tvars is not None:
+                    assert origin is not None
+                    assert all(isinstance(t, TypeVar) for t in tvars), tvars
+                else:
+                    tvars = _type_vars(bases)
+                    gvars = None
+                    for base in bases:
+                        if base is Generic:
+                            raise TypeError("Cannot inherit from plain Generic")
+                        if (isinstance(base, GenericMeta) and
+                                base.__origin__ in (Generic, Protocol)):
+                            if gvars is not None:
+                                raise TypeError(
+                                    "Cannot inherit from Generic[...] or"
+                                    " Protocol[...] multiple times.")
+                            gvars = base.__parameters__
+                    if gvars is None:
+                        gvars = tvars
+                    else:
+                        tvarset = set(tvars)
+                        gvarset = set(gvars)
+                        if not tvarset <= gvarset:
+                            raise TypeError(
+                                "Some type variables (%s) "
+                                "are not listed in %s[%s]" %
+                                (", ".join(str(t) for t in tvars if t not in gvarset),
+                                 "Generic" if any(b.__origin__ is Generic
+                                                  for b in bases) else "Protocol",
+                                 ", ".join(str(g) for g in gvars)))
+                        tvars = gvars
+
+                initial_bases = bases
+                if (extra is not None and type(extra) is abc.ABCMeta and
+                        extra not in bases):
+                    bases = (extra,) + bases
+                bases = tuple(_gorg(b) if isinstance(b, GenericMeta) else b
+                              for b in bases)
+                if any(isinstance(b, GenericMeta) and b is not Generic for b in bases):
+                    bases = tuple(b for b in bases if b is not Generic)
+                namespace.update({'__origin__': origin, '__extra__': extra})
+                self = super(GenericMeta, cls).__new__(cls, name, bases, namespace,
+                                                       _root=True)
+                super(GenericMeta, self).__setattr__('_gorg',
+                                                     self if not origin else
+                                                     _gorg(origin))
+                self.__parameters__ = tvars
+                self.__args__ = tuple(... if a is _TypingEllipsis else
+                                      () if a is _TypingEmpty else
+                                      a for a in args) if args else None
+                self.__next_in_mro__ = _next_in_mro(self)
+                if orig_bases is None:
+                    self.__orig_bases__ = initial_bases
+                elif origin is not None:
+                    self._abc_registry = origin._abc_registry
+                    self._abc_cache = origin._abc_cache
+                if hasattr(self, '_subs_tree'):
+                    self.__tree_hash__ = (hash(self._subs_tree()) if origin else
+                                          super(GenericMeta, self).__hash__())
+                return self
+
+        def __init__(cls, *args, **kwargs):
+            super().__init__(*args, **kwargs)
+            if not cls.__dict__.get('_is_protocol', None):
+                cls._is_protocol = any(b is Protocol or
+                                       isinstance(b, _ProtocolMeta) and
+                                       b.__origin__ is Protocol
+                                       for b in cls.__bases__)
+            if cls._is_protocol:
+                for base in cls.__mro__[1:]:
+                    if not (base in (object, Generic) or
+                            base.__module__ == 'collections.abc' and
+                            base.__name__ in _PROTO_WHITELIST or
+                            isinstance(base, TypingMeta) and base._is_protocol or
+                            isinstance(base, GenericMeta) and
+                            base.__origin__ is Generic):
+                        raise TypeError('Protocols can only inherit from other'
+                                        ' protocols, got %r' % base)
+
+                cls.__init__ = _no_init
+
+            def _proto_hook(other):
+                if not cls.__dict__.get('_is_protocol', None):
+                    return NotImplemented
+                if not isinstance(other, type):
+                    # Same error as for issubclass(1, int)
+                    raise TypeError('issubclass() arg 1 must be a class')
+                for attr in _get_protocol_attrs(cls):
+                    for base in other.__mro__:
+                        if attr in base.__dict__:
+                            if base.__dict__[attr] is None:
+                                return NotImplemented
+                            break
+                        annotations = getattr(base, '__annotations__', {})
+                        if (isinstance(annotations, typing.Mapping) and
+                                attr in annotations and
+                                isinstance(other, _ProtocolMeta) and
+                                other._is_protocol):
+                            break
+                    else:
+                        return NotImplemented
+                return True
+            if '__subclasshook__' not in cls.__dict__:
+                cls.__subclasshook__ = _proto_hook
+
+        def __instancecheck__(self, instance):
+            # We need this method for situations where attributes are
+            # assigned in __init__.
+            if ((not getattr(self, '_is_protocol', False) or
+                    _is_callable_members_only(self)) and
+                    issubclass(instance.__class__, self)):
+                return True
+            if self._is_protocol:
+                if all(hasattr(instance, attr) and
+                        (not callable(getattr(self, attr, None)) or
+                         getattr(instance, attr) is not None)
+                        for attr in _get_protocol_attrs(self)):
+                    return True
+            return super(GenericMeta, self).__instancecheck__(instance)
+
+        def __subclasscheck__(self, cls):
+            if self.__origin__ is not None:
+                if sys._getframe(1).f_globals['__name__'] not in ['abc', 'functools']:
+                    raise TypeError("Parameterized generics cannot be used with class "
+                                    "or instance checks")
+                return False
+            if (self.__dict__.get('_is_protocol', None) and
+                    not self.__dict__.get('_is_runtime_protocol', None)):
+                if sys._getframe(1).f_globals['__name__'] in ['abc',
+                                                              'functools',
+                                                              'typing']:
+                    return False
+                raise TypeError("Instance and class checks can only be used with"
+                                " @runtime protocols")
+            if (self.__dict__.get('_is_runtime_protocol', None) and
+                    not _is_callable_members_only(self)):
+                if sys._getframe(1).f_globals['__name__'] in ['abc',
+                                                              'functools',
+                                                              'typing']:
+                    return super(GenericMeta, self).__subclasscheck__(cls)
+                raise TypeError("Protocols with non-method members"
+                                " don't support issubclass()")
+            return super(GenericMeta, self).__subclasscheck__(cls)
+
+        if not OLD_GENERICS:
+            @_tp_cache
+            def __getitem__(self, params):
+                # We also need to copy this from GenericMeta.__getitem__ to get
+                # special treatment of "Protocol". (Comments removed for brevity.)
+                if not isinstance(params, tuple):
+                    params = (params,)
+                if not params and _gorg(self) is not Tuple:
+                    raise TypeError(
+                        "Parameter list to %s[...] cannot be empty" % self.__qualname__)
+                msg = "Parameters to generic types must be types."
+                params = tuple(_type_check(p, msg) for p in params)
+                if self in (Generic, Protocol):
+                    if not all(isinstance(p, TypeVar) for p in params):
+                        raise TypeError(
+                            "Parameters to %r[...] must all be type variables" % self)
+                    if len(set(params)) != len(params):
+                        raise TypeError(
+                            "Parameters to %r[...] must all be unique" % self)
+                    tvars = params
+                    args = params
+                elif self in (Tuple, Callable):
+                    tvars = _type_vars(params)
+                    args = params
+                elif self.__origin__ in (Generic, Protocol):
+                    raise TypeError("Cannot subscript already-subscripted %s" %
+                                    repr(self))
+                else:
+                    _check_generic(self, params)
+                    tvars = _type_vars(params)
+                    args = params
+
+                prepend = (self,) if self.__origin__ is None else ()
+                return self.__class__(self.__name__,
+                                      prepend + self.__bases__,
+                                      _no_slots_copy(self.__dict__),
+                                      tvars=tvars,
+                                      args=args,
+                                      origin=self,
+                                      extra=self.__extra__,
+                                      orig_bases=self.__orig_bases__)
+
+    class Protocol(metaclass=_ProtocolMeta):
+        """Base class for protocol classes. Protocol classes are defined as::
+
+          class Proto(Protocol):
+              def meth(self) -> int:
+                  ...
+
+        Such classes are primarily used with static type checkers that recognize
+        structural subtyping (static duck-typing), for example::
+
+          class C:
+              def meth(self) -> int:
+                  return 0
+
+          def func(x: Proto) -> int:
+              return x.meth()
+
+          func(C())  # Passes static type check
+
+        See PEP 544 for details. Protocol classes decorated with
+        @typing_extensions.runtime act as simple-minded runtime protocol that checks
+        only the presence of given attributes, ignoring their type signatures.
+
+        Protocol classes can be generic, they are defined as::
+
+          class GenProto({bases}):
+              def meth(self) -> T:
+                  ...
+        """
+        __slots__ = ()
+        _is_protocol = True
+
+        def __new__(cls, *args, **kwds):
+            if _gorg(cls) is Protocol:
+                raise TypeError("Type Protocol cannot be instantiated; "
+                                "it can be used only as a base class")
+            if OLD_GENERICS:
+                return _generic_new(_next_in_mro(cls), cls, *args, **kwds)
+            return _generic_new(cls.__next_in_mro__, cls, *args, **kwds)
+    if Protocol.__doc__ is not None:
+        Protocol.__doc__ = Protocol.__doc__.format(bases="Protocol, Generic[T]" if
+                                                   OLD_GENERICS else "Protocol[T]")
+
+
+elif PEP_560:
+    from typing import _type_check, _collect_type_vars  # noqa
+
+    def _no_init(self, *args, **kwargs):
+        if type(self)._is_protocol:
+            raise TypeError('Protocols cannot be instantiated')
+
+    class _ProtocolMeta(abc.ABCMeta):
+        # This metaclass is a bit unfortunate and exists only because of the lack
+        # of __instancehook__.
+        def __instancecheck__(cls, instance):
+            # We need this method for situations where attributes are
+            # assigned in __init__.
+            if ((not getattr(cls, '_is_protocol', False) or
+                    _is_callable_members_only(cls)) and
+                    issubclass(instance.__class__, cls)):
+                return True
+            if cls._is_protocol:
+                if all(hasattr(instance, attr) and
+                        (not callable(getattr(cls, attr, None)) or
+                         getattr(instance, attr) is not None)
+                        for attr in _get_protocol_attrs(cls)):
+                    return True
+            return super().__instancecheck__(instance)
+
+    class Protocol(metaclass=_ProtocolMeta):
+        # There is quite a lot of overlapping code with typing.Generic.
+        # Unfortunately it is hard to avoid this while these live in two different
+        # modules. The duplicated code will be removed when Protocol is moved to typing.
+        """Base class for protocol classes. Protocol classes are defined as::
+
+            class Proto(Protocol):
+                def meth(self) -> int:
+                    ...
+
+        Such classes are primarily used with static type checkers that recognize
+        structural subtyping (static duck-typing), for example::
+
+            class C:
+                def meth(self) -> int:
+                    return 0
+
+            def func(x: Proto) -> int:
+                return x.meth()
+
+            func(C())  # Passes static type check
+
+        See PEP 544 for details. Protocol classes decorated with
+        @typing_extensions.runtime act as simple-minded runtime protocol that checks
+        only the presence of given attributes, ignoring their type signatures.
+
+        Protocol classes can be generic, they are defined as::
+
+            class GenProto(Protocol[T]):
+                def meth(self) -> T:
+                    ...
+        """
+        __slots__ = ()
+        _is_protocol = True
+
+        def __new__(cls, *args, **kwds):
+            if cls is Protocol:
+                raise TypeError("Type Protocol cannot be instantiated; "
+                                "it can only be used as a base class")
+            return super().__new__(cls)
+
+        @_tp_cache
+        def __class_getitem__(cls, params):
+            if not isinstance(params, tuple):
+                params = (params,)
+            if not params and cls is not Tuple:
+                raise TypeError(
+                    "Parameter list to {}[...] cannot be empty".format(cls.__qualname__))
+            msg = "Parameters to generic types must be types."
+            params = tuple(_type_check(p, msg) for p in params)
+            if cls is Protocol:
+                # Generic can only be subscripted with unique type variables.
+                if not all(isinstance(p, TypeVar) for p in params):
+                    i = 0
+                    while isinstance(params[i], TypeVar):
+                        i += 1
+                    raise TypeError(
+                        "Parameters to Protocol[...] must all be type variables."
+                        " Parameter {} is {}".format(i + 1, params[i]))
+                if len(set(params)) != len(params):
+                    raise TypeError(
+                        "Parameters to Protocol[...] must all be unique")
+            else:
+                # Subscripting a regular Generic subclass.
+                _check_generic(cls, params)
+            return _GenericAlias(cls, params)
+
+        def __init_subclass__(cls, *args, **kwargs):
+            tvars = []
+            if '__orig_bases__' in cls.__dict__:
+                error = Generic in cls.__orig_bases__
+            else:
+                error = Generic in cls.__bases__
+            if error:
+                raise TypeError("Cannot inherit from plain Generic")
+            if '__orig_bases__' in cls.__dict__:
+                tvars = _collect_type_vars(cls.__orig_bases__)
+                # Look for Generic[T1, ..., Tn] or Protocol[T1, ..., Tn].
+                # If found, tvars must be a subset of it.
+                # If not found, tvars is it.
+                # Also check for and reject plain Generic,
+                # and reject multiple Generic[...] and/or Protocol[...].
+                gvars = None
+                for base in cls.__orig_bases__:
+                    if (isinstance(base, _GenericAlias) and
+                            base.__origin__ in (Generic, Protocol)):
+                        # for error messages
+                        the_base = 'Generic' if base.__origin__ is Generic else 'Protocol'
+                        if gvars is not None:
+                            raise TypeError(
+                                "Cannot inherit from Generic[...]"
+                                " and/or Protocol[...] multiple types.")
+                        gvars = base.__parameters__
+                if gvars is None:
+                    gvars = tvars
+                else:
+                    tvarset = set(tvars)
+                    gvarset = set(gvars)
+                    if not tvarset <= gvarset:
+                        s_vars = ', '.join(str(t) for t in tvars if t not in gvarset)
+                        s_args = ', '.join(str(g) for g in gvars)
+                        raise TypeError("Some type variables ({}) are"
+                                        " not listed in {}[{}]".format(s_vars,
+                                                                       the_base, s_args))
+                    tvars = gvars
+            cls.__parameters__ = tuple(tvars)
+
+            # Determine if this is a protocol or a concrete subclass.
+            if not cls.__dict__.get('_is_protocol', None):
+                cls._is_protocol = any(b is Protocol for b in cls.__bases__)
+
+            # Set (or override) the protocol subclass hook.
+            def _proto_hook(other):
+                if not cls.__dict__.get('_is_protocol', None):
+                    return NotImplemented
+                if not getattr(cls, '_is_runtime_protocol', False):
+                    if sys._getframe(2).f_globals['__name__'] in ['abc', 'functools']:
+                        return NotImplemented
+                    raise TypeError("Instance and class checks can only be used with"
+                                    " @runtime protocols")
+                if not _is_callable_members_only(cls):
+                    if sys._getframe(2).f_globals['__name__'] in ['abc', 'functools']:
+                        return NotImplemented
+                    raise TypeError("Protocols with non-method members"
+                                    " don't support issubclass()")
+                if not isinstance(other, type):
+                    # Same error as for issubclass(1, int)
+                    raise TypeError('issubclass() arg 1 must be a class')
+                for attr in _get_protocol_attrs(cls):
+                    for base in other.__mro__:
+                        if attr in base.__dict__:
+                            if base.__dict__[attr] is None:
+                                return NotImplemented
+                            break
+                        annotations = getattr(base, '__annotations__', {})
+                        if (isinstance(annotations, typing.Mapping) and
+                                attr in annotations and
+                                isinstance(other, _ProtocolMeta) and
+                                other._is_protocol):
+                            break
+                    else:
+                        return NotImplemented
+                return True
+            if '__subclasshook__' not in cls.__dict__:
+                cls.__subclasshook__ = _proto_hook
+
+            # We have nothing more to do for non-protocols.
+            if not cls._is_protocol:
+                return
+
+            # Check consistency of bases.
+            for base in cls.__bases__:
+                if not (base in (object, Generic) or
+                        base.__module__ == 'collections.abc' and
+                        base.__name__ in _PROTO_WHITELIST or
+                        isinstance(base, _ProtocolMeta) and base._is_protocol):
+                    raise TypeError('Protocols can only inherit from other'
+                                    ' protocols, got %r' % base)
+            cls.__init__ = _no_init
+
+
+if hasattr(typing, 'runtime_checkable'):
+    runtime_checkable = typing.runtime_checkable
+elif HAVE_PROTOCOLS:
+    def runtime_checkable(cls):
+        """Mark a protocol class as a runtime protocol, so that it
+        can be used with isinstance() and issubclass(). Raise TypeError
+        if applied to a non-protocol class.
+
+        This allows a simple-minded structural check very similar to the
+        one-offs in collections.abc such as Hashable.
+        """
+        if not isinstance(cls, _ProtocolMeta) or not cls._is_protocol:
+            raise TypeError('@runtime_checkable can be only applied to protocol classes,'
+                            ' got %r' % cls)
+        cls._is_runtime_protocol = True
+        return cls
+
+
+if HAVE_PROTOCOLS:
+    # Exists for backwards compatibility.
+    runtime = runtime_checkable
+
+
+if hasattr(typing, 'SupportsIndex'):
+    SupportsIndex = typing.SupportsIndex
+elif HAVE_PROTOCOLS:
+    @runtime_checkable
+    class SupportsIndex(Protocol):
+        __slots__ = ()
+
+        @abc.abstractmethod
+        def __index__(self) -> int:
+            pass
+
+
+if sys.version_info >= (3, 9, 2):
+    # The standard library TypedDict in Python 3.8 does not store runtime information
+    # about which (if any) keys are optional.  See https://bugs.python.org/issue38834
+    # The standard library TypedDict in Python 3.9.0/1 does not honour the "total"
+    # keyword with old-style TypedDict().  See https://bugs.python.org/issue42059
+    TypedDict = typing.TypedDict
+else:
+    def _check_fails(cls, other):
+        try:
+            if sys._getframe(1).f_globals['__name__'] not in ['abc',
+                                                              'functools',
+                                                              'typing']:
+                # Typed dicts are only for static structural subtyping.
+                raise TypeError('TypedDict does not support instance and class checks')
+        except (AttributeError, ValueError):
+            pass
+        return False
+
+    def _dict_new(*args, **kwargs):
+        if not args:
+            raise TypeError('TypedDict.__new__(): not enough arguments')
+        _, args = args[0], args[1:]  # allow the "cls" keyword be passed
+        return dict(*args, **kwargs)
+
+    _dict_new.__text_signature__ = '($cls, _typename, _fields=None, /, **kwargs)'
+
+    def _typeddict_new(*args, total=True, **kwargs):
+        if not args:
+            raise TypeError('TypedDict.__new__(): not enough arguments')
+        _, args = args[0], args[1:]  # allow the "cls" keyword be passed
+        if args:
+            typename, args = args[0], args[1:]  # allow the "_typename" keyword be passed
+        elif '_typename' in kwargs:
+            typename = kwargs.pop('_typename')
+            import warnings
+            warnings.warn("Passing '_typename' as keyword argument is deprecated",
+                          DeprecationWarning, stacklevel=2)
+        else:
+            raise TypeError("TypedDict.__new__() missing 1 required positional "
+                            "argument: '_typename'")
+        if args:
+            try:
+                fields, = args  # allow the "_fields" keyword be passed
+            except ValueError:
+                raise TypeError('TypedDict.__new__() takes from 2 to 3 '
+                                'positional arguments but {} '
+                                'were given'.format(len(args) + 2))
+        elif '_fields' in kwargs and len(kwargs) == 1:
+            fields = kwargs.pop('_fields')
+            import warnings
+            warnings.warn("Passing '_fields' as keyword argument is deprecated",
+                          DeprecationWarning, stacklevel=2)
+        else:
+            fields = None
+
+        if fields is None:
+            fields = kwargs
+        elif kwargs:
+            raise TypeError("TypedDict takes either a dict or keyword arguments,"
+                            " but not both")
+
+        ns = {'__annotations__': dict(fields)}
+        try:
+            # Setting correct module is necessary to make typed dict classes pickleable.
+            ns['__module__'] = sys._getframe(1).f_globals.get('__name__', '__main__')
+        except (AttributeError, ValueError):
+            pass
+
+        return _TypedDictMeta(typename, (), ns, total=total)
+
+    _typeddict_new.__text_signature__ = ('($cls, _typename, _fields=None,'
+                                         ' /, *, total=True, **kwargs)')
+
+    class _TypedDictMeta(type):
+        def __init__(cls, name, bases, ns, total=True):
+            # In Python 3.4 and 3.5 the __init__ method also needs to support the
+            # keyword arguments.
+            # See https://www.python.org/dev/peps/pep-0487/#implementation-details
+            super(_TypedDictMeta, cls).__init__(name, bases, ns)
+
+        def __new__(cls, name, bases, ns, total=True):
+            # Create new typed dict class object.
+            # This method is called directly when TypedDict is subclassed,
+            # or via _typeddict_new when TypedDict is instantiated. This way
+            # TypedDict supports all three syntaxes described in its docstring.
+            # Subclasses and instances of TypedDict return actual dictionaries
+            # via _dict_new.
+            ns['__new__'] = _typeddict_new if name == 'TypedDict' else _dict_new
+            tp_dict = super(_TypedDictMeta, cls).__new__(cls, name, (dict,), ns)
+
+            annotations = {}
+            own_annotations = ns.get('__annotations__', {})
+            own_annotation_keys = set(own_annotations.keys())
+            msg = "TypedDict('Name', {f0: t0, f1: t1, ...}); each t must be a type"
+            own_annotations = {
+                n: typing._type_check(tp, msg) for n, tp in own_annotations.items()
+            }
+            required_keys = set()
+            optional_keys = set()
+
+            for base in bases:
+                annotations.update(base.__dict__.get('__annotations__', {}))
+                required_keys.update(base.__dict__.get('__required_keys__', ()))
+                optional_keys.update(base.__dict__.get('__optional_keys__', ()))
+
+            annotations.update(own_annotations)
+            if total:
+                required_keys.update(own_annotation_keys)
+            else:
+                optional_keys.update(own_annotation_keys)
+
+            tp_dict.__annotations__ = annotations
+            tp_dict.__required_keys__ = frozenset(required_keys)
+            tp_dict.__optional_keys__ = frozenset(optional_keys)
+            if not hasattr(tp_dict, '__total__'):
+                tp_dict.__total__ = total
+            return tp_dict
+
+        __instancecheck__ = __subclasscheck__ = _check_fails
+
+    TypedDict = _TypedDictMeta('TypedDict', (dict,), {})
+    TypedDict.__module__ = __name__
+    TypedDict.__doc__ = \
+        """A simple typed name space. At runtime it is equivalent to a plain dict.
+
+        TypedDict creates a dictionary type that expects all of its
+        instances to have a certain set of keys, with each key
+        associated with a value of a consistent type. This expectation
+        is not checked at runtime but is only enforced by type checkers.
+        Usage::
+
+            class Point2D(TypedDict):
+                x: int
+                y: int
+                label: str
+
+            a: Point2D = {'x': 1, 'y': 2, 'label': 'good'}  # OK
+            b: Point2D = {'z': 3, 'label': 'bad'}           # Fails type check
+
+            assert Point2D(x=1, y=2, label='first') == dict(x=1, y=2, label='first')
+
+        The type info can be accessed via the Point2D.__annotations__ dict, and
+        the Point2D.__required_keys__ and Point2D.__optional_keys__ frozensets.
+        TypedDict supports two additional equivalent forms::
+
+            Point2D = TypedDict('Point2D', x=int, y=int, label=str)
+            Point2D = TypedDict('Point2D', {'x': int, 'y': int, 'label': str})
+
+        The class syntax is only supported in Python 3.6+, while two other
+        syntax forms work for Python 2.7 and 3.2+
+        """
+
+
+# Python 3.9+ has PEP 593 (Annotated and modified get_type_hints)
+if hasattr(typing, 'Annotated'):
+    Annotated = typing.Annotated
+    get_type_hints = typing.get_type_hints
+    # Not exported and not a public API, but needed for get_origin() and get_args()
+    # to work.
+    _AnnotatedAlias = typing._AnnotatedAlias
+elif PEP_560:
+    class _AnnotatedAlias(typing._GenericAlias, _root=True):
+        """Runtime representation of an annotated type.
+
+        At its core 'Annotated[t, dec1, dec2, ...]' is an alias for the type 't'
+        with extra annotations. The alias behaves like a normal typing alias,
+        instantiating is the same as instantiating the underlying type, binding
+        it to types is also the same.
+        """
+        def __init__(self, origin, metadata):
+            if isinstance(origin, _AnnotatedAlias):
+                metadata = origin.__metadata__ + metadata
+                origin = origin.__origin__
+            super().__init__(origin, origin)
+            self.__metadata__ = metadata
+
+        def copy_with(self, params):
+            assert len(params) == 1
+            new_type = params[0]
+            return _AnnotatedAlias(new_type, self.__metadata__)
+
+        def __repr__(self):
+            return "typing_extensions.Annotated[{}, {}]".format(
+                typing._type_repr(self.__origin__),
+                ", ".join(repr(a) for a in self.__metadata__)
+            )
+
+        def __reduce__(self):
+            return operator.getitem, (
+                Annotated, (self.__origin__,) + self.__metadata__
+            )
+
+        def __eq__(self, other):
+            if not isinstance(other, _AnnotatedAlias):
+                return NotImplemented
+            if self.__origin__ != other.__origin__:
+                return False
+            return self.__metadata__ == other.__metadata__
+
+        def __hash__(self):
+            return hash((self.__origin__, self.__metadata__))
+
+    class Annotated:
+        """Add context specific metadata to a type.
+
+        Example: Annotated[int, runtime_check.Unsigned] indicates to the
+        hypothetical runtime_check module that this type is an unsigned int.
+        Every other consumer of this type can ignore this metadata and treat
+        this type as int.
+
+        The first argument to Annotated must be a valid type (and will be in
+        the __origin__ field), the remaining arguments are kept as a tuple in
+        the __extra__ field.
+
+        Details:
+
+        - It's an error to call `Annotated` with less than two arguments.
+        - Nested Annotated are flattened::
+
+            Annotated[Annotated[T, Ann1, Ann2], Ann3] == Annotated[T, Ann1, Ann2, Ann3]
+
+        - Instantiating an annotated type is equivalent to instantiating the
+        underlying type::
+
+            Annotated[C, Ann1](5) == C(5)
+
+        - Annotated can be used as a generic type alias::
+
+            Optimized = Annotated[T, runtime.Optimize()]
+            Optimized[int] == Annotated[int, runtime.Optimize()]
+
+            OptimizedList = Annotated[List[T], runtime.Optimize()]
+            OptimizedList[int] == Annotated[List[int], runtime.Optimize()]
+        """
+
+        __slots__ = ()
+
+        def __new__(cls, *args, **kwargs):
+            raise TypeError("Type Annotated cannot be instantiated.")
+
+        @_tp_cache
+        def __class_getitem__(cls, params):
+            if not isinstance(params, tuple) or len(params) < 2:
+                raise TypeError("Annotated[...] should be used "
+                                "with at least two arguments (a type and an "
+                                "annotation).")
+            msg = "Annotated[t, ...]: t must be a type."
+            origin = typing._type_check(params[0], msg)
+            metadata = tuple(params[1:])
+            return _AnnotatedAlias(origin, metadata)
+
+        def __init_subclass__(cls, *args, **kwargs):
+            raise TypeError(
+                "Cannot subclass {}.Annotated".format(cls.__module__)
+            )
+
+    def _strip_annotations(t):
+        """Strips the annotations from a given type.
+        """
+        if isinstance(t, _AnnotatedAlias):
+            return _strip_annotations(t.__origin__)
+        if isinstance(t, typing._GenericAlias):
+            stripped_args = tuple(_strip_annotations(a) for a in t.__args__)
+            if stripped_args == t.__args__:
+                return t
+            res = t.copy_with(stripped_args)
+            res._special = t._special
+            return res
+        return t
+
+    def get_type_hints(obj, globalns=None, localns=None, include_extras=False):
+        """Return type hints for an object.
+
+        This is often the same as obj.__annotations__, but it handles
+        forward references encoded as string literals, adds Optional[t] if a
+        default value equal to None is set and recursively replaces all
+        'Annotated[T, ...]' with 'T' (unless 'include_extras=True').
+
+        The argument may be a module, class, method, or function. The annotations
+        are returned as a dictionary. For classes, annotations include also
+        inherited members.
+
+        TypeError is raised if the argument is not of a type that can contain
+        annotations, and an empty dictionary is returned if no annotations are
+        present.
+
+        BEWARE -- the behavior of globalns and localns is counterintuitive
+        (unless you are familiar with how eval() and exec() work).  The
+        search order is locals first, then globals.
+
+        - If no dict arguments are passed, an attempt is made to use the
+          globals from obj (or the respective module's globals for classes),
+          and these are also used as the locals.  If the object does not appear
+          to have globals, an empty dictionary is used.
+
+        - If one dict argument is passed, it is used for both globals and
+          locals.
+
+        - If two dict arguments are passed, they specify globals and
+          locals, respectively.
+        """
+        hint = typing.get_type_hints(obj, globalns=globalns, localns=localns)
+        if include_extras:
+            return hint
+        return {k: _strip_annotations(t) for k, t in hint.items()}
+
+elif HAVE_ANNOTATED:
+
+    def _is_dunder(name):
+        """Returns True if name is a __dunder_variable_name__."""
+        return len(name) > 4 and name.startswith('__') and name.endswith('__')
+
+    # Prior to Python 3.7 types did not have `copy_with`. A lot of the equality
+    # checks, argument expansion etc. are done on the _subs_tre. As a result we
+    # can't provide a get_type_hints function that strips out annotations.
+
+    class AnnotatedMeta(typing.GenericMeta):
+        """Metaclass for Annotated"""
+
+        def __new__(cls, name, bases, namespace, **kwargs):
+            if any(b is not object for b in bases):
+                raise TypeError("Cannot subclass " + str(Annotated))
+            return super().__new__(cls, name, bases, namespace, **kwargs)
+
+        @property
+        def __metadata__(self):
+            return self._subs_tree()[2]
+
+        def _tree_repr(self, tree):
+            cls, origin, metadata = tree
+            if not isinstance(origin, tuple):
+                tp_repr = typing._type_repr(origin)
+            else:
+                tp_repr = origin[0]._tree_repr(origin)
+            metadata_reprs = ", ".join(repr(arg) for arg in metadata)
+            return '%s[%s, %s]' % (cls, tp_repr, metadata_reprs)
+
+        def _subs_tree(self, tvars=None, args=None):  # noqa
+            if self is Annotated:
+                return Annotated
+            res = super()._subs_tree(tvars=tvars, args=args)
+            # Flatten nested Annotated
+            if isinstance(res[1], tuple) and res[1][0] is Annotated:
+                sub_tp = res[1][1]
+                sub_annot = res[1][2]
+                return (Annotated, sub_tp, sub_annot + res[2])
+            return res
+
+        def _get_cons(self):
+            """Return the class used to create instance of this type."""
+            if self.__origin__ is None:
+                raise TypeError("Cannot get the underlying type of a "
+                                "non-specialized Annotated type.")
+            tree = self._subs_tree()
+            while isinstance(tree, tuple) and tree[0] is Annotated:
+                tree = tree[1]
+            if isinstance(tree, tuple):
+                return tree[0]
+            else:
+                return tree
+
+        @_tp_cache
+        def __getitem__(self, params):
+            if not isinstance(params, tuple):
+                params = (params,)
+            if self.__origin__ is not None:  # specializing an instantiated type
+                return super().__getitem__(params)
+            elif not isinstance(params, tuple) or len(params) < 2:
+                raise TypeError("Annotated[...] should be instantiated "
+                                "with at least two arguments (a type and an "
+                                "annotation).")
+            else:
+                msg = "Annotated[t, ...]: t must be a type."
+                tp = typing._type_check(params[0], msg)
+                metadata = tuple(params[1:])
+            return self.__class__(
+                self.__name__,
+                self.__bases__,
+                _no_slots_copy(self.__dict__),
+                tvars=_type_vars((tp,)),
+                # Metadata is a tuple so it won't be touched by _replace_args et al.
+                args=(tp, metadata),
+                origin=self,
+            )
+
+        def __call__(self, *args, **kwargs):
+            cons = self._get_cons()
+            result = cons(*args, **kwargs)
+            try:
+                result.__orig_class__ = self
+            except AttributeError:
+                pass
+            return result
+
+        def __getattr__(self, attr):
+            # For simplicity we just don't relay all dunder names
+            if self.__origin__ is not None and not _is_dunder(attr):
+                return getattr(self._get_cons(), attr)
+            raise AttributeError(attr)
+
+        def __setattr__(self, attr, value):
+            if _is_dunder(attr) or attr.startswith('_abc_'):
+                super().__setattr__(attr, value)
+            elif self.__origin__ is None:
+                raise AttributeError(attr)
+            else:
+                setattr(self._get_cons(), attr, value)
+
+        def __instancecheck__(self, obj):
+            raise TypeError("Annotated cannot be used with isinstance().")
+
+        def __subclasscheck__(self, cls):
+            raise TypeError("Annotated cannot be used with issubclass().")
+
+    class Annotated(metaclass=AnnotatedMeta):
+        """Add context specific metadata to a type.
+
+        Example: Annotated[int, runtime_check.Unsigned] indicates to the
+        hypothetical runtime_check module that this type is an unsigned int.
+        Every other consumer of this type can ignore this metadata and treat
+        this type as int.
+
+        The first argument to Annotated must be a valid type, the remaining
+        arguments are kept as a tuple in the __metadata__ field.
+
+        Details:
+
+        - It's an error to call `Annotated` with less than two arguments.
+        - Nested Annotated are flattened::
+
+            Annotated[Annotated[T, Ann1, Ann2], Ann3] == Annotated[T, Ann1, Ann2, Ann3]
+
+        - Instantiating an annotated type is equivalent to instantiating the
+        underlying type::
+
+            Annotated[C, Ann1](5) == C(5)
+
+        - Annotated can be used as a generic type alias::
+
+            Optimized = Annotated[T, runtime.Optimize()]
+            Optimized[int] == Annotated[int, runtime.Optimize()]
+
+            OptimizedList = Annotated[List[T], runtime.Optimize()]
+            OptimizedList[int] == Annotated[List[int], runtime.Optimize()]
+        """
+
+# Python 3.8 has get_origin() and get_args() but those implementations aren't
+# Annotated-aware, so we can't use those, only Python 3.9 versions will do.
+# Similarly, Python 3.9's implementation doesn't support ParamSpecArgs and
+# ParamSpecKwargs.
+if sys.version_info[:2] >= (3, 10):
+    get_origin = typing.get_origin
+    get_args = typing.get_args
+elif PEP_560:
+    try:
+        # 3.9+
+        from typing import _BaseGenericAlias
+    except ImportError:
+        _BaseGenericAlias = _GenericAlias
+    try:
+        # 3.9+
+        from typing import GenericAlias
+    except ImportError:
+        GenericAlias = _GenericAlias
+
+    def get_origin(tp):
+        """Get the unsubscripted version of a type.
+
+        This supports generic types, Callable, Tuple, Union, Literal, Final, ClassVar
+        and Annotated. Return None for unsupported types. Examples::
+
+            get_origin(Literal[42]) is Literal
+            get_origin(int) is None
+            get_origin(ClassVar[int]) is ClassVar
+            get_origin(Generic) is Generic
+            get_origin(Generic[T]) is Generic
+            get_origin(Union[T, int]) is Union
+            get_origin(List[Tuple[T, T]][int]) == list
+            get_origin(P.args) is P
+        """
+        if isinstance(tp, _AnnotatedAlias):
+            return Annotated
+        if isinstance(tp, (_GenericAlias, GenericAlias, _BaseGenericAlias,
+                           ParamSpecArgs, ParamSpecKwargs)):
+            return tp.__origin__
+        if tp is Generic:
+            return Generic
+        return None
+
+    def get_args(tp):
+        """Get type arguments with all substitutions performed.
+
+        For unions, basic simplifications used by Union constructor are performed.
+        Examples::
+            get_args(Dict[str, int]) == (str, int)
+            get_args(int) == ()
+            get_args(Union[int, Union[T, int], str][int]) == (int, str)
+            get_args(Union[int, Tuple[T, int]][str]) == (int, Tuple[str, int])
+            get_args(Callable[[], T][int]) == ([], int)
+        """
+        if isinstance(tp, _AnnotatedAlias):
+            return (tp.__origin__,) + tp.__metadata__
+        if isinstance(tp, (_GenericAlias, GenericAlias)):
+            if getattr(tp, "_special", False):
+                return ()
+            res = tp.__args__
+            if get_origin(tp) is collections.abc.Callable and res[0] is not Ellipsis:
+                res = (list(res[:-1]), res[-1])
+            return res
+        return ()
+
+
+if hasattr(typing, 'TypeAlias'):
+    TypeAlias = typing.TypeAlias
+elif sys.version_info[:2] >= (3, 9):
+    class _TypeAliasForm(typing._SpecialForm, _root=True):
+        def __repr__(self):
+            return 'typing_extensions.' + self._name
+
+    @_TypeAliasForm
+    def TypeAlias(self, parameters):
+        """Special marker indicating that an assignment should
+        be recognized as a proper type alias definition by type
+        checkers.
+
+        For example::
+
+            Predicate: TypeAlias = Callable[..., bool]
+
+        It's invalid when used anywhere except as in the example above.
+        """
+        raise TypeError("{} is not subscriptable".format(self))
+
+elif sys.version_info[:2] >= (3, 7):
+    class _TypeAliasForm(typing._SpecialForm, _root=True):
+        def __repr__(self):
+            return 'typing_extensions.' + self._name
+
+    TypeAlias = _TypeAliasForm('TypeAlias',
+                               doc="""Special marker indicating that an assignment should
+                               be recognized as a proper type alias definition by type
+                               checkers.
+
+                               For example::
+
+                                   Predicate: TypeAlias = Callable[..., bool]
+
+                               It's invalid when used anywhere except as in the example
+                               above.""")
+
+elif hasattr(typing, '_FinalTypingBase'):
+    class _TypeAliasMeta(typing.TypingMeta):
+        """Metaclass for TypeAlias"""
+
+        def __repr__(self):
+            return 'typing_extensions.TypeAlias'
+
+    class _TypeAliasBase(typing._FinalTypingBase, metaclass=_TypeAliasMeta, _root=True):
+        """Special marker indicating that an assignment should
+        be recognized as a proper type alias definition by type
+        checkers.
+
+        For example::
+
+            Predicate: TypeAlias = Callable[..., bool]
+
+        It's invalid when used anywhere except as in the example above.
+        """
+        __slots__ = ()
+
+        def __instancecheck__(self, obj):
+            raise TypeError("TypeAlias cannot be used with isinstance().")
+
+        def __subclasscheck__(self, cls):
+            raise TypeError("TypeAlias cannot be used with issubclass().")
+
+        def __repr__(self):
+            return 'typing_extensions.TypeAlias'
+
+    TypeAlias = _TypeAliasBase(_root=True)
+else:
+    class _TypeAliasMeta(typing.TypingMeta):
+        """Metaclass for TypeAlias"""
+
+        def __instancecheck__(self, obj):
+            raise TypeError("TypeAlias cannot be used with isinstance().")
+
+        def __subclasscheck__(self, cls):
+            raise TypeError("TypeAlias cannot be used with issubclass().")
+
+        def __call__(self, *args, **kwargs):
+            raise TypeError("Cannot instantiate TypeAlias")
+
+    class TypeAlias(metaclass=_TypeAliasMeta, _root=True):
+        """Special marker indicating that an assignment should
+        be recognized as a proper type alias definition by type
+        checkers.
+
+        For example::
+
+            Predicate: TypeAlias = Callable[..., bool]
+
+        It's invalid when used anywhere except as in the example above.
+        """
+        __slots__ = ()
+
+
+# Python 3.10+ has PEP 612
+if hasattr(typing, 'ParamSpecArgs'):
+    ParamSpecArgs = typing.ParamSpecArgs
+    ParamSpecKwargs = typing.ParamSpecKwargs
+else:
+    class _Immutable:
+        """Mixin to indicate that object should not be copied."""
+        __slots__ = ()
+
+        def __copy__(self):
+            return self
+
+        def __deepcopy__(self, memo):
+            return self
+
+    class ParamSpecArgs(_Immutable):
+        """The args for a ParamSpec object.
+
+        Given a ParamSpec object P, P.args is an instance of ParamSpecArgs.
+
+        ParamSpecArgs objects have a reference back to their ParamSpec:
+
+        P.args.__origin__ is P
+
+        This type is meant for runtime introspection and has no special meaning to
+        static type checkers.
+        """
+        def __init__(self, origin):
+            self.__origin__ = origin
+
+        def __repr__(self):
+            return "{}.args".format(self.__origin__.__name__)
+
+    class ParamSpecKwargs(_Immutable):
+        """The kwargs for a ParamSpec object.
+
+        Given a ParamSpec object P, P.kwargs is an instance of ParamSpecKwargs.
+
+        ParamSpecKwargs objects have a reference back to their ParamSpec:
+
+        P.kwargs.__origin__ is P
+
+        This type is meant for runtime introspection and has no special meaning to
+        static type checkers.
+        """
+        def __init__(self, origin):
+            self.__origin__ = origin
+
+        def __repr__(self):
+            return "{}.kwargs".format(self.__origin__.__name__)
+
+if hasattr(typing, 'ParamSpec'):
+    ParamSpec = typing.ParamSpec
+else:
+
+    # Inherits from list as a workaround for Callable checks in Python < 3.9.2.
+    class ParamSpec(list):
+        """Parameter specification variable.
+
+        Usage::
+
+           P = ParamSpec('P')
+
+        Parameter specification variables exist primarily for the benefit of static
+        type checkers.  They are used to forward the parameter types of one
+        callable to another callable, a pattern commonly found in higher order
+        functions and decorators.  They are only valid when used in ``Concatenate``,
+        or s the first argument to ``Callable``. In Python 3.10 and higher,
+        they are also supported in user-defined Generics at runtime.
+        See class Generic for more information on generic types.  An
+        example for annotating a decorator::
+
+           T = TypeVar('T')
+           P = ParamSpec('P')
+
+           def add_logging(f: Callable[P, T]) -> Callable[P, T]:
+               '''A type-safe decorator to add logging to a function.'''
+               def inner(*args: P.args, **kwargs: P.kwargs) -> T:
+                   logging.info(f'{f.__name__} was called')
+                   return f(*args, **kwargs)
+               return inner
+
+           @add_logging
+           def add_two(x: float, y: float) -> float:
+               '''Add two numbers together.'''
+               return x + y
+
+        Parameter specification variables defined with covariant=True or
+        contravariant=True can be used to declare covariant or contravariant
+        generic types.  These keyword arguments are valid, but their actual semantics
+        are yet to be decided.  See PEP 612 for details.
+
+        Parameter specification variables can be introspected. e.g.:
+
+           P.__name__ == 'T'
+           P.__bound__ == None
+           P.__covariant__ == False
+           P.__contravariant__ == False
+
+        Note that only parameter specification variables defined in global scope can
+        be pickled.
+        """
+
+        # Trick Generic __parameters__.
+        __class__ = TypeVar
+
+        @property
+        def args(self):
+            return ParamSpecArgs(self)
+
+        @property
+        def kwargs(self):
+            return ParamSpecKwargs(self)
+
+        def __init__(self, name, *, bound=None, covariant=False, contravariant=False):
+            super().__init__([self])
+            self.__name__ = name
+            self.__covariant__ = bool(covariant)
+            self.__contravariant__ = bool(contravariant)
+            if bound:
+                self.__bound__ = typing._type_check(bound, 'Bound must be a type.')
+            else:
+                self.__bound__ = None
+
+            # for pickling:
+            try:
+                def_mod = sys._getframe(1).f_globals.get('__name__', '__main__')
+            except (AttributeError, ValueError):
+                def_mod = None
+            if def_mod != 'typing_extensions':
+                self.__module__ = def_mod
+
+        def __repr__(self):
+            if self.__covariant__:
+                prefix = '+'
+            elif self.__contravariant__:
+                prefix = '-'
+            else:
+                prefix = '~'
+            return prefix + self.__name__
+
+        def __hash__(self):
+            return object.__hash__(self)
+
+        def __eq__(self, other):
+            return self is other
+
+        def __reduce__(self):
+            return self.__name__
+
+        # Hack to get typing._type_check to pass.
+        def __call__(self, *args, **kwargs):
+            pass
+
+        if not PEP_560:
+            # Only needed in 3.6 and lower.
+            def _get_type_vars(self, tvars):
+                if self not in tvars:
+                    tvars.append(self)
+
+
+# Inherits from list as a workaround for Callable checks in Python < 3.9.2.
+class _ConcatenateGenericAlias(list):
+
+    # Trick Generic into looking into this for __parameters__.
+    if PEP_560:
+        __class__ = typing._GenericAlias
+    elif sys.version_info[:3] == (3, 5, 2):
+        __class__ = typing.TypingMeta
+    else:
+        __class__ = typing._TypingBase
+
+    # Flag in 3.8.
+    _special = False
+    # Attribute in 3.6 and earlier.
+    if sys.version_info[:3] == (3, 5, 2):
+        _gorg = typing.GenericMeta
+    else:
+        _gorg = typing.Generic
+
+    def __init__(self, origin, args):
+        super().__init__(args)
+        self.__origin__ = origin
+        self.__args__ = args
+
+    def __repr__(self):
+        _type_repr = typing._type_repr
+        return '{origin}[{args}]' \
+               .format(origin=_type_repr(self.__origin__),
+                       args=', '.join(_type_repr(arg) for arg in self.__args__))
+
+    def __hash__(self):
+        return hash((self.__origin__, self.__args__))
+
+    # Hack to get typing._type_check to pass in Generic.
+    def __call__(self, *args, **kwargs):
+        pass
+
+    @property
+    def __parameters__(self):
+        return tuple(tp for tp in self.__args__ if isinstance(tp, (TypeVar, ParamSpec)))
+
+    if not PEP_560:
+        # Only required in 3.6 and lower.
+        def _get_type_vars(self, tvars):
+            if self.__origin__ and self.__parameters__:
+                typing._get_type_vars(self.__parameters__, tvars)
+
+
+@_tp_cache
+def _concatenate_getitem(self, parameters):
+    if parameters == ():
+        raise TypeError("Cannot take a Concatenate of no types.")
+    if not isinstance(parameters, tuple):
+        parameters = (parameters,)
+    if not isinstance(parameters[-1], ParamSpec):
+        raise TypeError("The last parameter to Concatenate should be a "
+                        "ParamSpec variable.")
+    msg = "Concatenate[arg, ...]: each arg must be a type."
+    parameters = tuple(typing._type_check(p, msg) for p in parameters)
+    return _ConcatenateGenericAlias(self, parameters)
+
+
+if hasattr(typing, 'Concatenate'):
+    Concatenate = typing.Concatenate
+    _ConcatenateGenericAlias = typing._ConcatenateGenericAlias # noqa
+elif sys.version_info[:2] >= (3, 9):
+    @_TypeAliasForm
+    def Concatenate(self, parameters):
+        """Used in conjunction with ``ParamSpec`` and ``Callable`` to represent a
+        higher order function which adds, removes or transforms parameters of a
+        callable.
+
+        For example::
+
+           Callable[Concatenate[int, P], int]
+
+        See PEP 612 for detailed information.
+        """
+        return _concatenate_getitem(self, parameters)
+
+elif sys.version_info[:2] >= (3, 7):
+    class _ConcatenateForm(typing._SpecialForm, _root=True):
+        def __repr__(self):
+            return 'typing_extensions.' + self._name
+
+        def __getitem__(self, parameters):
+            return _concatenate_getitem(self, parameters)
+
+    Concatenate = _ConcatenateForm(
+        'Concatenate',
+        doc="""Used in conjunction with ``ParamSpec`` and ``Callable`` to represent a
+        higher order function which adds, removes or transforms parameters of a
+        callable.
+
+        For example::
+
+           Callable[Concatenate[int, P], int]
+
+        See PEP 612 for detailed information.
+        """)
+
+elif hasattr(typing, '_FinalTypingBase'):
+    class _ConcatenateAliasMeta(typing.TypingMeta):
+        """Metaclass for Concatenate."""
+
+        def __repr__(self):
+            return 'typing_extensions.Concatenate'
+
+    class _ConcatenateAliasBase(typing._FinalTypingBase,
+                                metaclass=_ConcatenateAliasMeta,
+                                _root=True):
+        """Used in conjunction with ``ParamSpec`` and ``Callable`` to represent a
+        higher order function which adds, removes or transforms parameters of a
+        callable.
+
+        For example::
+
+           Callable[Concatenate[int, P], int]
+
+        See PEP 612 for detailed information.
+        """
+        __slots__ = ()
+
+        def __instancecheck__(self, obj):
+            raise TypeError("Concatenate cannot be used with isinstance().")
+
+        def __subclasscheck__(self, cls):
+            raise TypeError("Concatenate cannot be used with issubclass().")
+
+        def __repr__(self):
+            return 'typing_extensions.Concatenate'
+
+        def __getitem__(self, parameters):
+            return _concatenate_getitem(self, parameters)
+
+    Concatenate = _ConcatenateAliasBase(_root=True)
+# For 3.5.0 - 3.5.2
+else:
+    class _ConcatenateAliasMeta(typing.TypingMeta):
+        """Metaclass for Concatenate."""
+
+        def __instancecheck__(self, obj):
+            raise TypeError("TypeAlias cannot be used with isinstance().")
+
+        def __subclasscheck__(self, cls):
+            raise TypeError("TypeAlias cannot be used with issubclass().")
+
+        def __call__(self, *args, **kwargs):
+            raise TypeError("Cannot instantiate TypeAlias")
+
+        def __getitem__(self, parameters):
+            return _concatenate_getitem(self, parameters)
+
+    class Concatenate(metaclass=_ConcatenateAliasMeta, _root=True):
+        """Used in conjunction with ``ParamSpec`` and ``Callable`` to represent a
+        higher order function which adds, removes or transforms parameters of a
+        callable.
+
+        For example::
+
+           Callable[Concatenate[int, P], int]
+
+        See PEP 612 for detailed information.
+        """
+        __slots__ = ()
+
+if hasattr(typing, 'TypeGuard'):
+    TypeGuard = typing.TypeGuard
+elif sys.version_info[:2] >= (3, 9):
+    class _TypeGuardForm(typing._SpecialForm, _root=True):
+        def __repr__(self):
+            return 'typing_extensions.' + self._name
+
+    @_TypeGuardForm
+    def TypeGuard(self, parameters):
+        """Special typing form used to annotate the return type of a user-defined
+        type guard function.  ``TypeGuard`` only accepts a single type argument.
+        At runtime, functions marked this way should return a boolean.
+
+        ``TypeGuard`` aims to benefit *type narrowing* -- a technique used by static
+        type checkers to determine a more precise type of an expression within a
+        program's code flow.  Usually type narrowing is done by analyzing
+        conditional code flow and applying the narrowing to a block of code.  The
+        conditional expression here is sometimes referred to as a "type guard".
+
+        Sometimes it would be convenient to use a user-defined boolean function
+        as a type guard.  Such a function should use ``TypeGuard[...]`` as its
+        return type to alert static type checkers to this intention.
+
+        Using  ``-> TypeGuard`` tells the static type checker that for a given
+        function:
+
+        1. The return value is a boolean.
+        2. If the return value is ``True``, the type of its argument
+        is the type inside ``TypeGuard``.
+
+        For example::
+
+            def is_str(val: Union[str, float]):
+                # "isinstance" type guard
+                if isinstance(val, str):
+                    # Type of ``val`` is narrowed to ``str``
+                    ...
+                else:
+                    # Else, type of ``val`` is narrowed to ``float``.
+                    ...
+
+        Strict type narrowing is not enforced -- ``TypeB`` need not be a narrower
+        form of ``TypeA`` (it can even be a wider form) and this may lead to
+        type-unsafe results.  The main reason is to allow for things like
+        narrowing ``List[object]`` to ``List[str]`` even though the latter is not
+        a subtype of the former, since ``List`` is invariant.  The responsibility of
+        writing type-safe type guards is left to the user.
+
+        ``TypeGuard`` also works with type variables.  For more information, see
+        PEP 647 (User-Defined Type Guards).
+        """
+        item = typing._type_check(parameters, '{} accepts only single type.'.format(self))
+        return _GenericAlias(self, (item,))
+
+elif sys.version_info[:2] >= (3, 7):
+    class _TypeGuardForm(typing._SpecialForm, _root=True):
+
+        def __repr__(self):
+            return 'typing_extensions.' + self._name
+
+        def __getitem__(self, parameters):
+            item = typing._type_check(parameters,
+                                      '{} accepts only a single type'.format(self._name))
+            return _GenericAlias(self, (item,))
+
+    TypeGuard = _TypeGuardForm(
+        'TypeGuard',
+        doc="""Special typing form used to annotate the return type of a user-defined
+        type guard function.  ``TypeGuard`` only accepts a single type argument.
+        At runtime, functions marked this way should return a boolean.
+
+        ``TypeGuard`` aims to benefit *type narrowing* -- a technique used by static
+        type checkers to determine a more precise type of an expression within a
+        program's code flow.  Usually type narrowing is done by analyzing
+        conditional code flow and applying the narrowing to a block of code.  The
+        conditional expression here is sometimes referred to as a "type guard".
+
+        Sometimes it would be convenient to use a user-defined boolean function
+        as a type guard.  Such a function should use ``TypeGuard[...]`` as its
+        return type to alert static type checkers to this intention.
+
+        Using  ``-> TypeGuard`` tells the static type checker that for a given
+        function:
+
+        1. The return value is a boolean.
+        2. If the return value is ``True``, the type of its argument
+        is the type inside ``TypeGuard``.
+
+        For example::
+
+            def is_str(val: Union[str, float]):
+                # "isinstance" type guard
+                if isinstance(val, str):
+                    # Type of ``val`` is narrowed to ``str``
+                    ...
+                else:
+                    # Else, type of ``val`` is narrowed to ``float``.
+                    ...
+
+        Strict type narrowing is not enforced -- ``TypeB`` need not be a narrower
+        form of ``TypeA`` (it can even be a wider form) and this may lead to
+        type-unsafe results.  The main reason is to allow for things like
+        narrowing ``List[object]`` to ``List[str]`` even though the latter is not
+        a subtype of the former, since ``List`` is invariant.  The responsibility of
+        writing type-safe type guards is left to the user.
+
+        ``TypeGuard`` also works with type variables.  For more information, see
+        PEP 647 (User-Defined Type Guards).
+        """)
+elif hasattr(typing, '_FinalTypingBase'):
+    class _TypeGuard(typing._FinalTypingBase, _root=True):
+        """Special typing form used to annotate the return type of a user-defined
+        type guard function.  ``TypeGuard`` only accepts a single type argument.
+        At runtime, functions marked this way should return a boolean.
+
+        ``TypeGuard`` aims to benefit *type narrowing* -- a technique used by static
+        type checkers to determine a more precise type of an expression within a
+        program's code flow.  Usually type narrowing is done by analyzing
+        conditional code flow and applying the narrowing to a block of code.  The
+        conditional expression here is sometimes referred to as a "type guard".
+
+        Sometimes it would be convenient to use a user-defined boolean function
+        as a type guard.  Such a function should use ``TypeGuard[...]`` as its
+        return type to alert static type checkers to this intention.
+
+        Using  ``-> TypeGuard`` tells the static type checker that for a given
+        function:
+
+        1. The return value is a boolean.
+        2. If the return value is ``True``, the type of its argument
+        is the type inside ``TypeGuard``.
+
+        For example::
+
+            def is_str(val: Union[str, float]):
+                # "isinstance" type guard
+                if isinstance(val, str):
+                    # Type of ``val`` is narrowed to ``str``
+                    ...
+                else:
+                    # Else, type of ``val`` is narrowed to ``float``.
+                    ...
+
+        Strict type narrowing is not enforced -- ``TypeB`` need not be a narrower
+        form of ``TypeA`` (it can even be a wider form) and this may lead to
+        type-unsafe results.  The main reason is to allow for things like
+        narrowing ``List[object]`` to ``List[str]`` even though the latter is not
+        a subtype of the former, since ``List`` is invariant.  The responsibility of
+        writing type-safe type guards is left to the user.
+
+        ``TypeGuard`` also works with type variables.  For more information, see
+        PEP 647 (User-Defined Type Guards).
+        """
+
+        __slots__ = ('__type__',)
+
+        def __init__(self, tp=None, **kwds):
+            self.__type__ = tp
+
+        def __getitem__(self, item):
+            cls = type(self)
+            if self.__type__ is None:
+                return cls(typing._type_check(item,
+                           '{} accepts only a single type.'.format(cls.__name__[1:])),
+                           _root=True)
+            raise TypeError('{} cannot be further subscripted'
+                            .format(cls.__name__[1:]))
+
+        def _eval_type(self, globalns, localns):
+            new_tp = typing._eval_type(self.__type__, globalns, localns)
+            if new_tp == self.__type__:
+                return self
+            return type(self)(new_tp, _root=True)
+
+        def __repr__(self):
+            r = super().__repr__()
+            if self.__type__ is not None:
+                r += '[{}]'.format(typing._type_repr(self.__type__))
+            return r
+
+        def __hash__(self):
+            return hash((type(self).__name__, self.__type__))
+
+        def __eq__(self, other):
+            if not isinstance(other, _TypeGuard):
+                return NotImplemented
+            if self.__type__ is not None:
+                return self.__type__ == other.__type__
+            return self is other
+
+    TypeGuard = _TypeGuard(_root=True)
+else:
+    class _TypeGuardMeta(typing.TypingMeta):
+        """Metaclass for TypeGuard"""
+
+        def __new__(cls, name, bases, namespace, tp=None, _root=False):
+            self = super().__new__(cls, name, bases, namespace, _root=_root)
+            if tp is not None:
+                self.__type__ = tp
+            return self
+
+        def __instancecheck__(self, obj):
+            raise TypeError("TypeGuard cannot be used with isinstance().")
+
+        def __subclasscheck__(self, cls):
+            raise TypeError("TypeGuard cannot be used with issubclass().")
+
+        def __getitem__(self, item):
+            cls = type(self)
+            if self.__type__ is not None:
+                raise TypeError('{} cannot be further subscripted'
+                                .format(cls.__name__[1:]))
+
+            param = typing._type_check(
+                item,
+                '{} accepts only single type.'.format(cls.__name__[1:]))
+            return cls(self.__name__, self.__bases__,
+                       dict(self.__dict__), tp=param, _root=True)
+
+        def _eval_type(self, globalns, localns):
+            new_tp = typing._eval_type(self.__type__, globalns, localns)
+            if new_tp == self.__type__:
+                return self
+            return type(self)(self.__name__, self.__bases__,
+                              dict(self.__dict__), tp=self.__type__,
+                              _root=True)
+
+        def __repr__(self):
+            r = super().__repr__()
+            if self.__type__ is not None:
+                r += '[{}]'.format(typing._type_repr(self.__type__))
+            return r
+
+        def __hash__(self):
+            return hash((type(self).__name__, self.__type__))
+
+        def __eq__(self, other):
+            if not hasattr(other, "__type__"):
+                return NotImplemented
+            if self.__type__ is not None:
+                return self.__type__ == other.__type__
+            return self is other
+
+    class TypeGuard(typing.Final, metaclass=_TypeGuardMeta, _root=True):
+        """Special typing form used to annotate the return type of a user-defined
+        type guard function.  ``TypeGuard`` only accepts a single type argument.
+        At runtime, functions marked this way should return a boolean.
+
+        ``TypeGuard`` aims to benefit *type narrowing* -- a technique used by static
+        type checkers to determine a more precise type of an expression within a
+        program's code flow.  Usually type narrowing is done by analyzing
+        conditional code flow and applying the narrowing to a block of code.  The
+        conditional expression here is sometimes referred to as a "type guard".
+
+        Sometimes it would be convenient to use a user-defined boolean function
+        as a type guard.  Such a function should use ``TypeGuard[...]`` as its
+        return type to alert static type checkers to this intention.
+
+        Using  ``-> TypeGuard`` tells the static type checker that for a given
+        function:
+
+        1. The return value is a boolean.
+        2. If the return value is ``True``, the type of its argument
+        is the type inside ``TypeGuard``.
+
+        For example::
+
+            def is_str(val: Union[str, float]):
+                # "isinstance" type guard
+                if isinstance(val, str):
+                    # Type of ``val`` is narrowed to ``str``
+                    ...
+                else:
+                    # Else, type of ``val`` is narrowed to ``float``.
+                    ...
+
+        Strict type narrowing is not enforced -- ``TypeB`` need not be a narrower
+        form of ``TypeA`` (it can even be a wider form) and this may lead to
+        type-unsafe results.  The main reason is to allow for things like
+        narrowing ``List[object]`` to ``List[str]`` even though the latter is not
+        a subtype of the former, since ``List`` is invariant.  The responsibility of
+        writing type-safe type guards is left to the user.
+
+        ``TypeGuard`` also works with type variables.  For more information, see
+        PEP 647 (User-Defined Type Guards).
+        """
+        __type__ = None
diff --git a/env-llmeval/lib/python3.10/site-packages/pytablewriter/error.py b/env-llmeval/lib/python3.10/site-packages/pytablewriter/error.py
new file mode 100644
index 0000000000000000000000000000000000000000..325be5c2e4395d0898fc7d9b3b43acf011ec48b7
--- /dev/null
+++ b/env-llmeval/lib/python3.10/site-packages/pytablewriter/error.py
@@ -0,0 +1,34 @@
+"""
+.. codeauthor:: Tsuyoshi Hombashi 
+"""
+
+
+class NotSupportedError(Exception):
+    pass
+
+
+class EmptyTableNameError(Exception):
+    """
+    Exception raised when a table writer class of the |table_name| attribute
+    is null and the class is not accepted null |table_name|.
+    """
+
+
+class EmptyValueError(Exception):
+    """
+    Exception raised when a table writer class of the |value_matrix| attribute
+    is null, and the class is not accepted null |value_matrix|.
+    """
+
+
+class EmptyTableDataError(Exception):
+    """
+    Exception raised when a table writer class of the |headers| and
+    |value_matrix| attributes are null.
+    """
+
+
+class WriterNotFoundError(Exception):
+    """
+    Exception raised when appropriate loader writer found.
+    """
diff --git a/env-llmeval/lib/python3.10/site-packages/pytablewriter/py.typed b/env-llmeval/lib/python3.10/site-packages/pytablewriter/py.typed
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/env-llmeval/lib/python3.10/site-packages/pytablewriter/style/__init__.py b/env-llmeval/lib/python3.10/site-packages/pytablewriter/style/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..d3448ddae02559bb6523dbad4116d8e68f7123ac
--- /dev/null
+++ b/env-llmeval/lib/python3.10/site-packages/pytablewriter/style/__init__.py
@@ -0,0 +1,53 @@
+from dataproperty import Align, Format
+
+from ._cell import Cell
+from ._font import FontSize, FontStyle, FontWeight
+from ._style import DecorationLine, Style, ThousandSeparator, VerticalAlign
+from ._styler import (
+    GFMarkdownStyler,
+    HtmlStyler,
+    LatexStyler,
+    MarkdownStyler,
+    NullStyler,
+    ReStructuredTextStyler,
+    TextStyler,
+    get_align_char,
+)
+from ._styler_interface import StylerInterface
+from ._theme import (
+    CheckStyleFilterKeywordArgsFunc,
+    ColSeparatorStyleFilterFunc,
+    StyleFilterFunc,
+    Theme,
+    fetch_theme,
+    list_themes,
+)
+
+
+__all__ = (
+    "Align",
+    "Format",
+    "Cell",
+    "FontSize",
+    "FontStyle",
+    "FontWeight",
+    "Style",
+    "ThousandSeparator",
+    "VerticalAlign",
+    "DecorationLine",
+    "GFMarkdownStyler",
+    "HtmlStyler",
+    "LatexStyler",
+    "MarkdownStyler",
+    "NullStyler",
+    "ReStructuredTextStyler",
+    "StylerInterface",
+    "TextStyler",
+    "CheckStyleFilterKeywordArgsFunc",
+    "ColSeparatorStyleFilterFunc",
+    "StyleFilterFunc",
+    "Theme",
+    "get_align_char",
+    "fetch_theme",
+    "list_themes",
+)
diff --git a/env-llmeval/lib/python3.10/site-packages/pytablewriter/style/_font.py b/env-llmeval/lib/python3.10/site-packages/pytablewriter/style/_font.py
new file mode 100644
index 0000000000000000000000000000000000000000..1613721072682180ae8ca8e247067d2906279ee4
--- /dev/null
+++ b/env-llmeval/lib/python3.10/site-packages/pytablewriter/style/_font.py
@@ -0,0 +1,23 @@
+from enum import Enum, unique
+
+
+@unique
+class FontSize(Enum):
+    NONE = "none"
+    TINY = "tiny"
+    SMALL = "small"
+    MEDIUM = "medium"
+    LARGE = "large"
+
+
+@unique
+class FontStyle(Enum):
+    NORMAL = "normal"
+    ITALIC = "italic"
+    TYPEWRITER = "typewriter"
+
+
+@unique
+class FontWeight(Enum):
+    NORMAL = "normal"
+    BOLD = "bold"
diff --git a/env-llmeval/lib/python3.10/site-packages/pytablewriter/style/_styler.py b/env-llmeval/lib/python3.10/site-packages/pytablewriter/style/_styler.py
new file mode 100644
index 0000000000000000000000000000000000000000..3f8ff5b07b1641903277feb24a27b9a2553fad09
--- /dev/null
+++ b/env-llmeval/lib/python3.10/site-packages/pytablewriter/style/_styler.py
@@ -0,0 +1,331 @@
+import re
+from typing import TYPE_CHECKING, Any, Dict, Optional
+
+from dataproperty import Align
+from tcolorpy import Color, tcolor
+
+from ._font import FontSize, FontStyle, FontWeight
+from ._style import DecorationLine, Style, ThousandSeparator
+from ._styler_interface import StylerInterface
+
+
+if TYPE_CHECKING:
+    from ..writer._table_writer import AbstractTableWriter
+
+
+_align_char_mapping: Dict[Align, str] = {
+    Align.AUTO: "<",
+    Align.LEFT: "<",
+    Align.RIGHT: ">",
+    Align.CENTER: "^",
+}
+
+
+def get_align_char(align: Align) -> str:
+    return _align_char_mapping[align]
+
+
+def _to_latex_rgb(color: Color, value: str) -> str:
+    return r"\textcolor{" + color.color_code + "}{" + value + "}"
+
+
+class AbstractStyler(StylerInterface):
+    def __init__(self, writer: "AbstractTableWriter") -> None:
+        self._writer = writer
+        self._font_size_map = self._get_font_size_map()
+
+    def get_font_size(self, style: Style) -> Optional[str]:
+        return self._font_size_map.get(style.font_size)
+
+    def get_additional_char_width(self, style: Style) -> int:
+        return 0
+
+    def apply(self, value: Any, style: Style) -> str:
+        return value
+
+    def apply_align(self, value: str, style: Style) -> str:
+        return value
+
+    def apply_terminal_style(self, value: str, style: Style) -> str:
+        return value
+
+    def _get_font_size_map(self) -> Dict[FontSize, str]:
+        return {}
+
+
+class NullStyler(AbstractStyler):
+    def get_font_size(self, style: Style) -> Optional[str]:
+        return ""
+
+
+class TextStyler(AbstractStyler):
+    def apply_terminal_style(self, value: str, style: Style) -> str:
+        if not self._writer.enable_ansi_escape:
+            return value
+
+        ansi_styles = []
+
+        if style.decoration_line in (DecorationLine.STRIKE, DecorationLine.LINE_THROUGH):
+            ansi_styles.append("strike")
+        if style.decoration_line == DecorationLine.UNDERLINE:
+            ansi_styles.append("underline")
+
+        if style.font_weight == FontWeight.BOLD:
+            ansi_styles.append("bold")
+
+        if self._writer.colorize_terminal:
+            return tcolor(value, color=style.color, bg_color=style.bg_color, styles=ansi_styles)
+
+        return tcolor(value, styles=ansi_styles)
+
+    def __get_align_format(self, style: Style) -> str:
+        align_char = get_align_char(style.align)
+        format_items = ["{:" + align_char]
+        if style.padding is not None and style.padding > 0:
+            format_items.append(str(style.padding))
+        format_items.append("s}")
+
+        return "".join(format_items)
+
+    def apply_align(self, value: str, style: Style) -> str:
+        return self.__get_align_format(style).format(value)
+
+    def apply(self, value: str, style: Style) -> str:
+        if value:
+            if style.thousand_separator == ThousandSeparator.SPACE:
+                value = value.replace(",", " ")
+            elif style.thousand_separator == ThousandSeparator.UNDERSCORE:
+                value = value.replace(",", "_")
+
+        return value
+
+
+class HtmlStyler(TextStyler):
+    def _get_font_size_map(self) -> Dict[FontSize, str]:
+        return {
+            FontSize.TINY: "font-size:x-small",
+            FontSize.SMALL: "font-size:small",
+            FontSize.MEDIUM: "font-size:medium",
+            FontSize.LARGE: "font-size:large",
+        }
+
+
+class LatexStyler(TextStyler):
+    class Command:
+        BOLD = r"\bf"
+        ITALIC = r"\it"
+        TYPEWRITER = r"\tt"
+        UNDERLINE = r"\underline"
+        STRIKEOUT = r"\sout"
+
+    def get_additional_char_width(self, style: Style) -> int:
+        dummy_value = "d"
+        applied_value = self.apply(dummy_value, style)
+
+        return len(applied_value) - len(dummy_value)
+
+    def apply(self, value: Any, style: Style) -> str:
+        value = super().apply(value, style)
+        if not value:
+            return value
+
+        font_size = self.get_font_size(style)
+        commands = []
+
+        if font_size:
+            commands.append(font_size)
+
+        if style.font_weight == FontWeight.BOLD:
+            commands.append(self.Command.BOLD)
+
+        if style.font_style == FontStyle.ITALIC:
+            commands.append(self.Command.ITALIC)
+        elif style.font_style == FontStyle.TYPEWRITER:
+            commands.append(self.Command.TYPEWRITER)
+
+        if style.decoration_line in (DecorationLine.STRIKE, DecorationLine.LINE_THROUGH):
+            commands.append(self.Command.STRIKEOUT)
+        elif style.decoration_line == DecorationLine.UNDERLINE:
+            commands.append(self.Command.UNDERLINE)
+
+        for cmd in commands:
+            value = cmd + "{" + value + "}"
+
+        value = self.__apply_color(value, style)
+
+        return value
+
+    def __apply_color(self, value: str, style: Style) -> str:
+        if not style.fg_color:
+            return value
+
+        value = _to_latex_rgb(style.fg_color, value)
+
+        return value
+
+    def _get_font_size_map(self) -> Dict[FontSize, str]:
+        return {
+            FontSize.TINY: r"\tiny",
+            FontSize.SMALL: r"\small",
+            FontSize.MEDIUM: r"\normalsize",
+            FontSize.LARGE: r"\large",
+        }
+
+
+class MarkdownStyler(TextStyler):
+    def get_additional_char_width(self, style: Style) -> int:
+        width = 0
+
+        if style.font_weight == FontWeight.BOLD:
+            width += 4
+
+        if style.font_style == FontStyle.ITALIC:
+            width += 2
+
+        return width
+
+    def apply(self, value: Any, style: Style) -> str:
+        value = super().apply(value, style)
+        if not value:
+            return value
+
+        value = self._apply_font_weight(value, style)
+        value = self._apply_font_style(value, style)
+
+        return value
+
+    def _apply_font_weight(self, value: Any, style: Style) -> str:
+        if style.font_weight == FontWeight.BOLD:
+            value = f"**{value}**"
+
+        return value
+
+    def _apply_font_style(self, value: Any, style: Style) -> str:
+        if style.font_style == FontStyle.ITALIC:
+            value = f"_{value}_"
+
+        return value
+
+
+class GFMarkdownStyler(MarkdownStyler):
+    """
+    A styler class for GitHub Flavored Markdown
+    """
+
+    def get_additional_char_width(self, style: Style) -> int:
+        width = super().get_additional_char_width(style)
+
+        if style.decoration_line in (DecorationLine.STRIKE, DecorationLine.LINE_THROUGH):
+            width += 4
+
+        if self.__use_latex(style):
+            dummy_value = "d"
+            value = self.apply(dummy_value, style)
+            width += len(value) - len(dummy_value)
+
+        return width
+
+    def apply(self, value: Any, style: Style) -> str:
+        value = super().apply(value, style)
+        if not value:
+            return value
+
+        use_latex = self.__use_latex(style)
+
+        if use_latex:
+            value = self.__escape_for_latex(value)
+            value = LatexStyler.Command.TYPEWRITER + "{" + value + "}"
+
+        value = self.__apply_decoration_line(value, style)
+
+        if use_latex:
+            value = r"$$" + self.__apply_color(value, style) + r"$$"
+
+        return value
+
+    def __use_latex(self, style: Style) -> bool:
+        return style.fg_color is not None
+
+    def __escape_for_latex(self, value: str) -> str:
+        value = re.sub(r"[\s_]", r"\\\\\g<0>", value)
+        return value.replace("-", r"\text{-}")
+
+    def __apply_decoration_line(self, value: str, style: Style) -> str:
+        use_latex = self.__use_latex(style)
+
+        if style.decoration_line in (DecorationLine.STRIKE, DecorationLine.LINE_THROUGH):
+            if use_latex:
+                value = r"\enclose{horizontalstrike}{" + value + "}"
+            else:
+                value = f"~~{value}~~"
+        elif style.decoration_line == DecorationLine.UNDERLINE:
+            if use_latex:
+                value = r"\underline{" + value + "}"
+
+        return value
+
+    def __apply_color(self, value: str, style: Style) -> str:
+        if not style.fg_color:
+            return value
+
+        return _to_latex_rgb(style.fg_color, value)
+
+    def _apply_font_weight(self, value: Any, style: Style) -> str:
+        if not self.__use_latex(style):
+            return super()._apply_font_weight(value, style)
+
+        if style.font_weight == FontWeight.BOLD:
+            value = LatexStyler.Command.BOLD + "{" + value + "}"
+
+        return value
+
+    def _apply_font_style(self, value: Any, style: Style) -> str:
+        if not self.__use_latex(style):
+            return super()._apply_font_style(value, style)
+
+        if style.font_style == FontStyle.ITALIC:
+            value = LatexStyler.Command.ITALIC + "{" + value + "}"
+
+        return value
+
+
+class ReStructuredTextStyler(TextStyler):
+    def get_additional_char_width(self, style: Style) -> int:
+        from ..writer import RstCsvTableWriter
+
+        width = 0
+
+        if style.font_weight == FontWeight.BOLD:
+            width += 4
+        elif style.font_style == FontStyle.ITALIC:
+            width += 2
+
+        if (
+            style.thousand_separator == ThousandSeparator.COMMA
+            and self._writer.format_name == RstCsvTableWriter.FORMAT_NAME
+        ):
+            width += 2
+
+        return width
+
+    def apply(self, value: Any, style: Style) -> str:
+        from ..writer import RstCsvTableWriter
+
+        value = super().apply(value, style)
+        if not value:
+            return value
+
+        if style.font_weight == FontWeight.BOLD:
+            value = f"**{value}**"
+        elif style.font_style == FontStyle.ITALIC:
+            # in reStructuredText, some custom style definition will be required to
+            # set for both bold and italic (currently not supported)
+            value = f"*{value}*"
+
+        if (
+            style.thousand_separator == ThousandSeparator.COMMA
+            and self._writer.format_name == RstCsvTableWriter.FORMAT_NAME
+        ):
+            value = f'"{value}"'
+
+        return value
diff --git a/env-llmeval/lib/python3.10/site-packages/pytablewriter/style/_styler_interface.py b/env-llmeval/lib/python3.10/site-packages/pytablewriter/style/_styler_interface.py
new file mode 100644
index 0000000000000000000000000000000000000000..498e7280b914f781d501fb44df98420b1830c9fe
--- /dev/null
+++ b/env-llmeval/lib/python3.10/site-packages/pytablewriter/style/_styler_interface.py
@@ -0,0 +1,26 @@
+import abc
+from typing import Any, Optional
+
+from ._style import Style
+
+
+class StylerInterface(metaclass=abc.ABCMeta):
+    @abc.abstractmethod
+    def apply(self, value: Any, style: Style) -> str:  # pragma: no cover
+        raise NotImplementedError()
+
+    @abc.abstractmethod
+    def apply_align(self, value: str, style: Style) -> str:  # pragma: no cover
+        raise NotImplementedError()
+
+    @abc.abstractmethod
+    def apply_terminal_style(self, value: str, style: Style) -> str:  # pragma: no cover
+        raise NotImplementedError()
+
+    @abc.abstractmethod
+    def get_font_size(self, style: Style) -> Optional[str]:  # pragma: no cover
+        raise NotImplementedError()
+
+    @abc.abstractmethod
+    def get_additional_char_width(self, style: Style) -> int:  # pragma: no cover
+        raise NotImplementedError()
diff --git a/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/LICENSE b/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..df5a5a9d26a5da9cdbe13e6e9616607df863e177
--- /dev/null
+++ b/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/LICENSE
@@ -0,0 +1,6681 @@
+From PyTorch:
+
+Copyright (c) 2016-     Facebook, Inc            (Adam Paszke)
+Copyright (c) 2014-     Facebook, Inc            (Soumith Chintala)
+Copyright (c) 2011-2014 Idiap Research Institute (Ronan Collobert)
+Copyright (c) 2012-2014 Deepmind Technologies    (Koray Kavukcuoglu)
+Copyright (c) 2011-2012 NEC Laboratories America (Koray Kavukcuoglu)
+Copyright (c) 2011-2013 NYU                      (Clement Farabet)
+Copyright (c) 2006-2010 NEC Laboratories America (Ronan Collobert, Leon Bottou, Iain Melvin, Jason Weston)
+Copyright (c) 2006      Idiap Research Institute (Samy Bengio)
+Copyright (c) 2001-2004 Idiap Research Institute (Ronan Collobert, Samy Bengio, Johnny Mariethoz)
+
+From Caffe2:
+
+Copyright (c) 2016-present, Facebook Inc. All rights reserved.
+
+All contributions by Facebook:
+Copyright (c) 2016 Facebook Inc.
+
+All contributions by Google:
+Copyright (c) 2015 Google Inc.
+All rights reserved.
+
+All contributions by Yangqing Jia:
+Copyright (c) 2015 Yangqing Jia
+All rights reserved.
+
+All contributions by Kakao Brain:
+Copyright 2019-2020 Kakao Brain
+
+All contributions by Cruise LLC:
+Copyright (c) 2022 Cruise LLC.
+All rights reserved.
+
+All contributions from Caffe:
+Copyright(c) 2013, 2014, 2015, the respective contributors
+All rights reserved.
+
+All other contributions:
+Copyright(c) 2015, 2016 the respective contributors
+All rights reserved.
+
+Caffe2 uses a copyright model similar to Caffe: each contributor holds
+copyright over their contributions to Caffe2. The project versioning records
+all such contribution and copyright details. If a contributor wants to further
+mark their specific copyright on a particular contribution, they should
+indicate their copyright solely in the commit message of the change when it is
+committed.
+
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright
+   notice, this list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright
+   notice, this list of conditions and the following disclaimer in the
+   documentation and/or other materials provided with the distribution.
+
+3. Neither the names of Facebook, Deepmind Technologies, NYU, NEC Laboratories America
+   and IDIAP Research Institute nor the names of its contributors may be
+   used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+POSSIBILITY OF SUCH DAMAGE.
+
+
+The Pytorch repository and source distributions bundle several libraries that are 
+compatibly licensed.  We list these here.
+
+Name: DCGM
+License: Apache-2.0
+Files: third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM
+  For details, see the files concatenated below: third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM/LICENSE
+
+Name: FP16
+License: MIT
+Files: third_party/FP16
+  For details, see the files concatenated below: third_party/FP16/LICENSE
+
+Name: FXdiv
+License: MIT
+Files: third_party/FXdiv
+  For details, see the files concatenated below: third_party/FXdiv/LICENSE
+
+Name: NNPACK
+License: BSD-2-Clause
+Files: third_party/NNPACK
+  For details, see the files concatenated below: third_party/NNPACK/LICENSE
+
+Name: QNNPACK
+License: BSD-3-Clause
+Files: third_party/QNNPACK
+  For details, see the files concatenated below: third_party/QNNPACK/LICENSE
+
+Name: VulkanMemoryAllocator
+License: MIT
+Files: third_party/VulkanMemoryAllocator
+  For details, see the files concatenated below: third_party/VulkanMemoryAllocator/LICENSE.txt
+
+Name: XNNPACK
+License: BSD-3-Clause
+Files: third_party/XNNPACK
+  For details, see the files concatenated below: third_party/XNNPACK/LICENSE
+
+Name: benchmark
+License: Apache-2.0
+Files: third_party/benchmark,
+     third_party/onnx/third_party/benchmark,
+     third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark,
+     third_party/protobuf/third_party/benchmark
+  For details, see the files concatenated below: third_party/benchmark/LICENSE,
+     third_party/onnx/third_party/benchmark/LICENSE,
+     third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark/LICENSE,
+     third_party/protobuf/third_party/benchmark/LICENSE
+
+Name: clog
+License: BSD-2-Clause
+Files: third_party/QNNPACK/deps/clog,
+     third_party/cpuinfo/deps/clog,
+     third_party/fbgemm/third_party/cpuinfo/deps/clog
+  For details, see the files concatenated below: third_party/QNNPACK/deps/clog/LICENSE,
+     third_party/cpuinfo/deps/clog/LICENSE,
+     third_party/fbgemm/third_party/cpuinfo/deps/clog/LICENSE
+
+Name: colorama
+License: BSD-3-Clause
+Files: third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM/testing/python3/libs_3rdparty/colorama
+  For details, see the files concatenated below: third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM/testing/python3/libs_3rdparty/colorama/LICENSE.txt
+
+Name: cpplint
+License: BSD-3-Clause
+Files: third_party/kineto/libkineto/third_party/dynolog/third_party/json/third_party/cpplint,
+     third_party/nlohmann/tools/cpplint
+  For details, see the files concatenated below: third_party/kineto/libkineto/third_party/dynolog/third_party/json/third_party/cpplint/LICENSE,
+     third_party/nlohmann/tools/cpplint/LICENSE
+
+Name: cpr
+License: MIT
+Files: third_party/kineto/libkineto/third_party/dynolog/third_party/cpr
+  For details, see the files concatenated below: third_party/kineto/libkineto/third_party/dynolog/third_party/cpr/LICENSE
+
+Name: cpuinfo
+License: BSD-2-Clause
+Files: third_party/cpuinfo,
+     third_party/fbgemm/third_party/cpuinfo
+  For details, see the files concatenated below: third_party/cpuinfo/LICENSE,
+     third_party/fbgemm/third_party/cpuinfo/LICENSE
+
+Name: cudnn_frontend
+License: MIT
+Files: third_party/cudnn_frontend
+  For details, see the files concatenated below: third_party/cudnn_frontend/LICENSE.txt
+
+Name: cutlass
+License: BSD-3-Clause
+Files: third_party/cutlass,
+     third_party/fbgemm/third_party/cutlass
+  For details, see the files concatenated below: third_party/cutlass/LICENSE.txt,
+     third_party/fbgemm/third_party/cutlass/LICENSE.txt
+
+Name: dart
+License: Apache-2.0
+Files: third_party/flatbuffers/dart
+  For details, see the files concatenated below: third_party/flatbuffers/dart/LICENSE
+
+Name: doctest
+License: MIT
+Files: third_party/kineto/libkineto/third_party/dynolog/third_party/json/test/thirdparty/doctest,
+     third_party/nlohmann/tests/thirdparty/doctest
+  For details, see the files concatenated below: third_party/kineto/libkineto/third_party/dynolog/third_party/json/test/thirdparty/doctest/LICENSE.txt,
+     third_party/nlohmann/tests/thirdparty/doctest/LICENSE.txt
+
+Name: dynolog
+License: MIT
+Files: third_party/kineto/libkineto/third_party/dynolog
+  For details, see the files concatenated below: third_party/kineto/libkineto/third_party/dynolog/LICENSE
+
+Name: eigen
+License: BSD-3-Clause
+Files: third_party/eigen
+  For details, see the files concatenated below: third_party/eigen/COPYING.BSD
+
+Name: fbgemm
+License: BSD-3-Clause
+Files: third_party/fbgemm
+  For details, see the files concatenated below: third_party/fbgemm/LICENSE
+
+Name: flatbuffers
+License: Apache-2.0
+Files: third_party/flatbuffers
+  For details, see the files concatenated below: third_party/flatbuffers/LICENSE
+
+Name: fmt
+License: MIT with exception
+Files: third_party/fmt,
+     third_party/kineto/libkineto/third_party/dynolog/third_party/fmt,
+     third_party/kineto/libkineto/third_party/fmt
+  For details, see the files concatenated below: third_party/fmt/LICENSE.rst,
+     third_party/kineto/libkineto/third_party/dynolog/third_party/fmt/LICENSE.rst,
+     third_party/kineto/libkineto/third_party/fmt/LICENSE.rst
+
+Name: foxi
+License: MIT
+Files: third_party/foxi
+  For details, see the files concatenated below: third_party/foxi/LICENSE
+
+Name: gemmlowp
+License: Apache-2.0
+Files: third_party/gemmlowp/gemmlowp
+  For details, see the files concatenated below: third_party/gemmlowp/gemmlowp/LICENSE
+
+Name: generator
+License: Apache-2.0
+Files: third_party/fbgemm/third_party/googletest/googlemock/scripts/generator,
+     third_party/googletest/googlemock/scripts/generator,
+     third_party/kineto/libkineto/third_party/googletest/googlemock/scripts/generator,
+     third_party/protobuf/third_party/googletest/googlemock/scripts/generator,
+     third_party/tensorpipe/third_party/googletest/googlemock/scripts/generator
+  For details, see the files concatenated below: third_party/fbgemm/third_party/googletest/googlemock/scripts/generator/LICENSE,
+     third_party/googletest/googlemock/scripts/generator/LICENSE,
+     third_party/kineto/libkineto/third_party/googletest/googlemock/scripts/generator/LICENSE,
+     third_party/protobuf/third_party/googletest/googlemock/scripts/generator/LICENSE,
+     third_party/tensorpipe/third_party/googletest/googlemock/scripts/generator/LICENSE
+
+Name: gloo
+License: BSD-3-Clause
+Files: third_party/gloo
+  For details, see the files concatenated below: third_party/gloo/LICENSE
+
+Name: googlemock
+License: BSD-3-Clause
+Files: third_party/fbgemm/third_party/googletest/googlemock,
+     third_party/kineto/libkineto/third_party/googletest/googlemock,
+     third_party/protobuf/third_party/googletest/googlemock,
+     third_party/tensorpipe/third_party/googletest/googlemock
+  For details, see the files concatenated below: third_party/fbgemm/third_party/googletest/googlemock/LICENSE,
+     third_party/kineto/libkineto/third_party/googletest/googlemock/LICENSE,
+     third_party/protobuf/third_party/googletest/googlemock/LICENSE,
+     third_party/tensorpipe/third_party/googletest/googlemock/LICENSE
+
+Name: googletest
+License: BSD-3-Clause
+Files: third_party/fbgemm/third_party/googletest,
+     third_party/fbgemm/third_party/googletest/googletest,
+     third_party/googletest,
+     third_party/kineto/libkineto/third_party/dynolog/third_party/googletest,
+     third_party/kineto/libkineto/third_party/googletest,
+     third_party/kineto/libkineto/third_party/googletest/googletest,
+     third_party/protobuf/third_party/googletest,
+     third_party/protobuf/third_party/googletest/googletest,
+     third_party/tensorpipe/third_party/googletest,
+     third_party/tensorpipe/third_party/googletest/googletest
+  For details, see the files concatenated below: third_party/fbgemm/third_party/googletest/LICENSE,
+     third_party/fbgemm/third_party/googletest/googletest/LICENSE,
+     third_party/googletest/LICENSE,
+     third_party/kineto/libkineto/third_party/dynolog/third_party/googletest/LICENSE,
+     third_party/kineto/libkineto/third_party/googletest/LICENSE,
+     third_party/kineto/libkineto/third_party/googletest/googletest/LICENSE,
+     third_party/protobuf/third_party/googletest/LICENSE,
+     third_party/protobuf/third_party/googletest/googletest/LICENSE,
+     third_party/tensorpipe/third_party/googletest/LICENSE,
+     third_party/tensorpipe/third_party/googletest/googletest/LICENSE
+
+Name: gtest
+License: BSD-3-Clause
+Files: third_party/ideep/mkl-dnn/tests/gtests/gtest
+  For details, see the files concatenated below: third_party/ideep/mkl-dnn/tests/gtests/gtest/LICENSE
+
+Name: hipify_torch
+License: MIT
+Files: third_party/fbgemm/third_party/hipify_torch
+  For details, see the files concatenated below: third_party/fbgemm/third_party/hipify_torch/LICENSE.txt
+
+Name: ideep
+License: MIT
+Files: third_party/ideep
+  For details, see the files concatenated below: third_party/ideep/LICENSE
+
+Name: ios-cmake
+License: BSD-3-Clause
+Files: third_party/ios-cmake
+  For details, see the files concatenated below: third_party/ios-cmake/LICENSE
+
+Name: json
+License: MIT
+Files: third_party/cudnn_frontend/include/contrib/nlohmann/json
+  For details, see the files concatenated below: third_party/cudnn_frontend/include/contrib/nlohmann/json/LICENSE.txt
+
+Name: kineto
+License: BSD-3-Clause
+Files: third_party/kineto
+  For details, see the files concatenated below: third_party/kineto/LICENSE
+
+Name: libnop
+License: Apache-2.0
+Files: third_party/tensorpipe/third_party/libnop
+  For details, see the files concatenated below: third_party/tensorpipe/third_party/libnop/LICENSE
+
+Name: libuv
+License: MIT
+Files: third_party/tensorpipe/third_party/libuv
+  For details, see the files concatenated below: third_party/tensorpipe/third_party/libuv/LICENSE
+
+Name: mimalloc
+License: MIT
+Files: third_party/mimalloc
+  For details, see the files concatenated below: third_party/mimalloc/LICENSE
+
+Name: miniz-2.1.0
+License: MIT
+Files: third_party/miniz-2.1.0
+  For details, see the files concatenated below: third_party/miniz-2.1.0/LICENSE
+
+Name: mkl-dnn
+License: Apache-2.0
+Files: third_party/ideep/mkl-dnn
+  For details, see the files concatenated below: third_party/ideep/mkl-dnn/LICENSE
+
+Name: nccl
+License: BSD-3-Clause
+Files: third_party/nccl/nccl
+  For details, see the files concatenated below: third_party/nccl/nccl/LICENSE.txt
+
+Name: neon2sse
+License: BSD-Source-Code
+Files: third_party/neon2sse
+  For details, see the files concatenated below: third_party/neon2sse/LICENSE
+
+Name: onnx
+License: Apache-2.0
+Files: third_party/onnx
+  For details, see the files concatenated below: third_party/onnx/LICENSE
+
+Name: onnx
+License: MIT
+Files: third_party/onnx-tensorrt/third_party/onnx
+  For details, see the files concatenated below: third_party/onnx-tensorrt/third_party/onnx/LICENSE
+
+Name: onnx-tensorrt
+License: MIT
+Files: third_party/onnx-tensorrt
+  For details, see the files concatenated below: third_party/onnx-tensorrt/LICENSE
+
+Name: pfs
+License: Apache-2.0
+Files: third_party/kineto/libkineto/third_party/dynolog/third_party/pfs
+  For details, see the files concatenated below: third_party/kineto/libkineto/third_party/dynolog/third_party/pfs/LICENSE
+
+Name: protobuf
+License: BSD-3-Clause
+Files: third_party/protobuf
+  For details, see the files concatenated below: third_party/protobuf/LICENSE
+
+Name: psimd
+License: MIT
+Files: third_party/psimd
+  For details, see the files concatenated below: third_party/psimd/LICENSE
+
+Name: pthreadpool
+License: BSD-2-Clause
+Files: third_party/pthreadpool
+  For details, see the files concatenated below: third_party/pthreadpool/LICENSE
+
+Name: pybind11
+License: BSD-3-Clause
+Files: third_party/onnx/third_party/pybind11,
+     third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11,
+     third_party/pybind11,
+     third_party/tensorpipe/third_party/pybind11
+  For details, see the files concatenated below: third_party/onnx/third_party/pybind11/LICENSE,
+     third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/LICENSE,
+     third_party/pybind11/LICENSE,
+     third_party/tensorpipe/third_party/pybind11/LICENSE
+
+Name: python-peachpy
+License: BSD-2-Clause
+Files: third_party/python-peachpy
+  For details, see the files concatenated below: third_party/python-peachpy/LICENSE.rst
+
+Name: sleef
+License: BSL-1.0
+Files: third_party/sleef
+  For details, see the files concatenated below: third_party/sleef/LICENSE.txt
+
+Name: swift
+License: Apache-2.0
+Files: third_party/flatbuffers/swift
+  For details, see the files concatenated below: third_party/flatbuffers/swift/LICENSE
+
+Name: tb_plugin
+License: BSD-3-Clause
+Files: third_party/kineto/tb_plugin
+  For details, see the files concatenated below: third_party/kineto/tb_plugin/LICENSE
+
+Name: tbb
+License: Apache-2.0
+Files: third_party/tbb
+  For details, see the files concatenated below: third_party/tbb/LICENSE
+
+Name: tensorpipe
+License: BSD-3-Clause
+Files: third_party/tensorpipe
+  For details, see the files concatenated below: third_party/tensorpipe/LICENSE.txt
+
+Name: test
+License: MIT with exception
+Files: third_party/kineto/libkineto/third_party/dynolog/third_party/cpr/test
+  For details, see the files concatenated below: third_party/kineto/libkineto/third_party/dynolog/third_party/cpr/test/LICENSE
+
+Name: zstd
+License: BSD-3-Clause
+Files: third_party/zstd
+  For details, see the files concatenated below: third_party/zstd/LICENSE
+
+third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM/LICENSE
+-------------------------------------------------------------------------
+Copyright (c) 2022, NVIDIA CORPORATION.  All rights reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+
+third_party/FP16/LICENSE
+------------------------
+The MIT License (MIT)
+
+Copyright (c) 2017 Facebook Inc.
+Copyright (c) 2017 Georgia Institute of Technology
+Copyright 2019 Google LLC
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+
+third_party/FXdiv/LICENSE
+-------------------------
+The MIT License (MIT)
+
+Copyright (c) 2017 Facebook Inc.
+Copyright (c) 2016-2017 Marat Dukhan
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+
+third_party/NNPACK/LICENSE
+--------------------------
+Copyright (c) 2017 Facebook Inc.
+Copyright (c) 2015-2017, Georgia Institute of Technology
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/QNNPACK/LICENSE
+---------------------------
+BSD License
+
+For QNNPACK software
+
+Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
+
+Redistribution and use in source and binary forms, with or without modification,
+are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+ * Neither the name Facebook nor the names of its contributors may be used to
+   endorse or promote products derived from this software without specific
+   prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
+ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/VulkanMemoryAllocator/LICENSE.txt
+---------------------------------------------
+Copyright (c) 2017-2022 Advanced Micro Devices, Inc. All rights reserved.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
+
+
+third_party/XNNPACK/LICENSE
+---------------------------
+BSD License
+
+For XNNPACK software
+
+Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
+Copyright 2019 Google LLC
+
+Redistribution and use in source and binary forms, with or without modification,
+are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+ * Neither the name Facebook nor the names of its contributors may be used to
+   endorse or promote products derived from this software without specific
+   prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
+ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/benchmark/LICENSE
+-----------------------------
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+
+third_party/onnx/third_party/benchmark/LICENSE
+----------------------------------------------
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+
+third_party/onnx-tensorrt/third_party/onnx/third_party/benchmark/LICENSE
+------------------------------------------------------------------------
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+
+third_party/protobuf/third_party/benchmark/LICENSE
+--------------------------------------------------
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+
+third_party/QNNPACK/deps/clog/LICENSE
+-------------------------------------
+Copyright (C) 2018 Marat Dukhan
+Copyright (c) 2017-2018 Facebook Inc.
+Copyright (c) 2017 Georgia Institute of Technology
+
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/cpuinfo/deps/clog/LICENSE
+-------------------------------------
+Copyright (C) 2018 Marat Dukhan
+Copyright (c) 2017-2018 Facebook Inc.
+Copyright (c) 2017 Georgia Institute of Technology
+
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/fbgemm/third_party/cpuinfo/deps/clog/LICENSE
+--------------------------------------------------------
+Copyright (C) 2018 Marat Dukhan
+Copyright (c) 2017-2018 Facebook Inc.
+Copyright (c) 2017 Georgia Institute of Technology
+
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM/testing/python3/libs_3rdparty/colorama/LICENSE.txt
+--------------------------------------------------------------------------------------------------------------------
+Copyright (c) 2010 Jonathan Hartley 
+
+Released under the New BSD license (reproduced below), or alternatively you may
+use this software under any OSI approved open source license such as those at
+http://opensource.org/licenses/alphabetical
+
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+* Neither the name(s) of the copyright holders, nor those of its contributors
+  may be used to endorse or promote products derived from this software without
+  specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+
+third_party/kineto/libkineto/third_party/dynolog/third_party/json/third_party/cpplint/LICENSE
+---------------------------------------------------------------------------------------------
+cpplint.py and its corresponding unit tests are Copyright (C) 2009 Google Inc.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+   * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+   * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+   * Neither the name of Google Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/nlohmann/tools/cpplint/LICENSE
+------------------------------------------
+cpplint.py and its corresponding unit tests are Copyright (C) 2009 Google Inc.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+   * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+   * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+   * Neither the name of Google Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/kineto/libkineto/third_party/dynolog/third_party/cpr/LICENSE
+------------------------------------------------------------------------
+This license applies to everything except the contents of the "test"
+directory and its subdirectories.
+
+MIT License
+
+Copyright (c) 2017-2021 Huu Nguyen
+Copyright (c) 2022 libcpr and many other contributors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+third_party/cpuinfo/LICENSE
+---------------------------
+Copyright (c) 2019 Google LLC
+Copyright (c) 2017-2018 Facebook Inc.
+Copyright (C) 2012-2017 Georgia Institute of Technology
+Copyright (C) 2010-2012 Marat Dukhan
+
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/fbgemm/third_party/cpuinfo/LICENSE
+----------------------------------------------
+Copyright (c) 2019 Google LLC
+Copyright (c) 2017-2018 Facebook Inc.
+Copyright (C) 2012-2017 Georgia Institute of Technology
+Copyright (C) 2010-2012 Marat Dukhan
+
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/cudnn_frontend/LICENSE.txt
+--------------------------------------
+/*
+ * Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a
+ * copy of this software and associated documentation files (the "Software"),
+ * to deal in the Software without restriction, including without limitation
+ * the rights to use, copy, modify, merge, publish, distribute, sublicense,
+ * and/or sell copies of the Software, and to permit persons to whom the
+ * Software is furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in
+ * all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL
+ * THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+ * FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+ * DEALINGS IN THE SOFTWARE.
+ */ 
+
+
+third_party/cutlass/LICENSE.txt
+-------------------------------
+Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-License-Identifier: BSD-3-Clause
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+this list of conditions and the following disclaimer in the documentation
+and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/fbgemm/third_party/cutlass/LICENSE.txt
+--------------------------------------------------
+Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+SPDX-License-Identifier: BSD-3-Clause
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+this list of conditions and the following disclaimer in the documentation
+and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/flatbuffers/dart/LICENSE
+------------------------------------
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright 2014 Google Inc.
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+
+third_party/kineto/libkineto/third_party/dynolog/third_party/json/test/thirdparty/doctest/LICENSE.txt
+-----------------------------------------------------------------------------------------------------
+The MIT License (MIT)
+
+Copyright (c) 2016-2021 Viktor Kirilov
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+
+third_party/nlohmann/tests/thirdparty/doctest/LICENSE.txt
+---------------------------------------------------------
+The MIT License (MIT)
+
+Copyright (c) 2016-2021 Viktor Kirilov
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+
+third_party/kineto/libkineto/third_party/dynolog/LICENSE
+--------------------------------------------------------
+MIT License
+
+Copyright (c) Facebook, Inc. and its affiliates.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+
+third_party/eigen/COPYING.BSD
+-----------------------------
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+*/
+
+
+third_party/fbgemm/LICENSE
+--------------------------
+BSD License
+
+For FBGEMM software
+
+Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
+
+Redistribution and use in source and binary forms, with or without modification,
+are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+ * Neither the name Facebook nor the names of its contributors may be used to
+   endorse or promote products derived from this software without specific
+   prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
+ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/flatbuffers/LICENSE
+-------------------------------
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+
+third_party/fmt/LICENSE.rst
+---------------------------
+Copyright (c) 2012 - present, Victor Zverovich and {fmt} contributors
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+--- Optional exception to the license ---
+
+As an exception, if, as a result of your compiling your source code, portions
+of this Software are embedded into a machine-executable object form of such
+source code, you may redistribute such embedded portions in such object form
+without including the above copyright and permission notices.
+
+
+third_party/kineto/libkineto/third_party/dynolog/third_party/fmt/LICENSE.rst
+----------------------------------------------------------------------------
+Copyright (c) 2012 - present, Victor Zverovich
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+--- Optional exception to the license ---
+
+As an exception, if, as a result of your compiling your source code, portions
+of this Software are embedded into a machine-executable object form of such
+source code, you may redistribute such embedded portions in such object form
+without including the above copyright and permission notices.
+
+
+third_party/kineto/libkineto/third_party/fmt/LICENSE.rst
+--------------------------------------------------------
+Copyright (c) 2012 - present, Victor Zverovich
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+--- Optional exception to the license ---
+
+As an exception, if, as a result of your compiling your source code, portions
+of this Software are embedded into a machine-executable object form of such
+source code, you may redistribute such embedded portions in such object form
+without including the above copyright and permission notices.
+
+
+third_party/foxi/LICENSE
+------------------------
+MIT License
+
+Copyright (c) 2019 Lu Fang
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+
+third_party/gemmlowp/gemmlowp/LICENSE
+-------------------------------------
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+
+third_party/fbgemm/third_party/googletest/googlemock/scripts/generator/LICENSE
+------------------------------------------------------------------------------
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [2007] Neal Norwitz
+   Portions Copyright [2007] Google Inc.
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+
+third_party/googletest/googlemock/scripts/generator/LICENSE
+-----------------------------------------------------------
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [2007] Neal Norwitz
+   Portions Copyright [2007] Google Inc.
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+
+third_party/kineto/libkineto/third_party/googletest/googlemock/scripts/generator/LICENSE
+----------------------------------------------------------------------------------------
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [2007] Neal Norwitz
+   Portions Copyright [2007] Google Inc.
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+
+third_party/protobuf/third_party/googletest/googlemock/scripts/generator/LICENSE
+--------------------------------------------------------------------------------
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [2007] Neal Norwitz
+   Portions Copyright [2007] Google Inc.
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+
+third_party/tensorpipe/third_party/googletest/googlemock/scripts/generator/LICENSE
+----------------------------------------------------------------------------------
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [2007] Neal Norwitz
+   Portions Copyright [2007] Google Inc.
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+
+third_party/gloo/LICENSE
+------------------------
+BSD License
+
+For Gloo software
+
+Copyright (c) 2017-present, Facebook, Inc. All rights reserved.
+
+Redistribution and use in source and binary forms, with or without modification,
+are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+ * Neither the name Facebook nor the names of its contributors may be used to
+   endorse or promote products derived from this software without specific
+   prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
+ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/fbgemm/third_party/googletest/googlemock/LICENSE
+------------------------------------------------------------
+Copyright 2008, Google Inc.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+    * Neither the name of Google Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/kineto/libkineto/third_party/googletest/googlemock/LICENSE
+----------------------------------------------------------------------
+Copyright 2008, Google Inc.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+    * Neither the name of Google Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/protobuf/third_party/googletest/googlemock/LICENSE
+--------------------------------------------------------------
+Copyright 2008, Google Inc.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+    * Neither the name of Google Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/tensorpipe/third_party/googletest/googlemock/LICENSE
+----------------------------------------------------------------
+Copyright 2008, Google Inc.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+    * Neither the name of Google Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/fbgemm/third_party/googletest/LICENSE
+-------------------------------------------------
+Copyright 2008, Google Inc.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+    * Neither the name of Google Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/fbgemm/third_party/googletest/googletest/LICENSE
+------------------------------------------------------------
+Copyright 2008, Google Inc.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+    * Neither the name of Google Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/googletest/LICENSE
+------------------------------
+Copyright 2008, Google Inc.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+    * Neither the name of Google Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/kineto/libkineto/third_party/dynolog/third_party/googletest/LICENSE
+-------------------------------------------------------------------------------
+Copyright 2008, Google Inc.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+    * Neither the name of Google Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/kineto/libkineto/third_party/googletest/LICENSE
+-----------------------------------------------------------
+Copyright 2008, Google Inc.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+    * Neither the name of Google Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/kineto/libkineto/third_party/googletest/googletest/LICENSE
+----------------------------------------------------------------------
+Copyright 2008, Google Inc.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+    * Neither the name of Google Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/protobuf/third_party/googletest/LICENSE
+---------------------------------------------------
+Copyright 2008, Google Inc.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+    * Neither the name of Google Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/protobuf/third_party/googletest/googletest/LICENSE
+--------------------------------------------------------------
+Copyright 2008, Google Inc.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+    * Neither the name of Google Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/tensorpipe/third_party/googletest/LICENSE
+-----------------------------------------------------
+Copyright 2008, Google Inc.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+    * Neither the name of Google Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/tensorpipe/third_party/googletest/googletest/LICENSE
+----------------------------------------------------------------
+Copyright 2008, Google Inc.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+    * Neither the name of Google Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/ideep/mkl-dnn/tests/gtests/gtest/LICENSE
+----------------------------------------------------
+Copyright 2008, Google Inc.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+    * Neither the name of Google Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/fbgemm/third_party/hipify_torch/LICENSE.txt
+-------------------------------------------------------
+MIT License
+
+Copyright (c) 2017 AMD Compute Libraries
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+
+third_party/ideep/LICENSE
+-------------------------
+Copyright (c) 2018 Intel Corporation.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
+
+
+third_party/ios-cmake/LICENSE
+-----------------------------
+Copyright (c) 2011-2014, Andrew Fischer 
+Copyright (c) 2016, Bogdan Cristea 
+Copyright (c) 2017, Yangqing Jia 
+
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+this list of conditions and the following disclaimer in the documentation
+and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its contributors
+may be used to endorse or promote products derived from this software without
+specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/cudnn_frontend/include/contrib/nlohmann/json/LICENSE.txt
+--------------------------------------------------------------------
+MIT License 
+
+Copyright (c) 2013-2021 Niels Lohmann
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+
+third_party/kineto/LICENSE
+--------------------------
+BSD License
+
+For Kineto software
+
+Copyright (c) Meta Platforms, Inc. and affiliates.
+
+All contributions by Microsoft:
+Copyright (c) Microsoft Corporation. (The Azure AI Platform team)
+
+Redistribution and use in source and binary forms, with or without modification,
+are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+ * Neither the name Meta nor the names of its contributors may be used to
+   endorse or promote products derived from this software without specific
+   prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
+ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/tensorpipe/third_party/libnop/LICENSE
+-------------------------------------------------
+Copyright 2017 The Native Object Protocols Authors
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    https://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+
+third_party/tensorpipe/third_party/libuv/LICENSE
+------------------------------------------------
+libuv is licensed for use as follows:
+
+====
+Copyright (c) 2015-present libuv project contributors.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to
+deal in the Software without restriction, including without limitation the
+rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+sell copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
+IN THE SOFTWARE.
+====
+
+This license applies to parts of libuv originating from the
+https://github.com/joyent/libuv repository:
+
+====
+
+Copyright Joyent, Inc. and other Node contributors. All rights reserved.
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to
+deal in the Software without restriction, including without limitation the
+rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+sell copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
+IN THE SOFTWARE.
+
+====
+
+This license applies to all parts of libuv that are not externally
+maintained libraries.
+
+The externally maintained libraries used by libuv are:
+
+  - tree.h (from FreeBSD), copyright Niels Provos. Two clause BSD license.
+
+  - inet_pton and inet_ntop implementations, contained in src/inet.c, are
+    copyright the Internet Systems Consortium, Inc., and licensed under the ISC
+    license.
+
+  - stdint-msvc2008.h (from msinttypes), copyright Alexander Chemeris. Three
+    clause BSD license.
+
+  - pthread-fixes.c, copyright Google Inc. and Sony Mobile Communications AB.
+    Three clause BSD license.
+
+  - android-ifaddrs.h, android-ifaddrs.c, copyright Berkeley Software Design
+    Inc, Kenneth MacKay and Emergya (Cloud4all, FP7/2007-2013, grant agreement
+    n° 289016). Three clause BSD license.
+
+
+third_party/mimalloc/LICENSE
+----------------------------
+MIT License
+
+Copyright (c) 2018-2021 Microsoft Corporation, Daan Leijen
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+
+third_party/miniz-2.1.0/LICENSE
+-------------------------------
+Copyright 2013-2014 RAD Game Tools and Valve Software
+Copyright 2010-2014 Rich Geldreich and Tenacious Software LLC
+
+All Rights Reserved.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
+
+
+third_party/ideep/mkl-dnn/LICENSE
+---------------------------------
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   ============================================================================
+
+   Copyright 2016-2023 Intel Corporation
+   Copyright 2018 YANDEX LLC
+   Copyright 2019-2023 FUJITSU LIMITED
+   Copyright 2020-2023 Arm Ltd. and affiliates
+   Copyright 2020-2022 Codeplay Software Limited
+   Copyright 2021 Alanna Tempest
+   Copyright 2022-2023 IBM Corporation
+   Copyright 2023 KNS Group LLC (YADRO)
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+   This distribution includes third party software ("third party programs").
+   This third party software, even if included with the distribution of
+   the Intel software, may be governed by separate license terms, including
+   without limitation, third party license terms, other Intel software license
+   terms, and open source software license terms. These separate license terms
+   govern your use of the third party programs as set forth in the
+   "THIRD-PARTY-PROGRAMS" file.
+
+
+third_party/nccl/nccl/LICENSE.txt
+---------------------------------
+
+ Copyright (c) 2015-2020, NVIDIA CORPORATION. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions
+ are met:
+  * Redistributions of source code must retain the above copyright
+    notice, this list of conditions and the following disclaimer.
+  * Redistributions in binary form must reproduce the above copyright
+    notice, this list of conditions and the following disclaimer in the
+    documentation and/or other materials provided with the distribution.
+  * Neither the name of NVIDIA CORPORATION, Lawrence Berkeley National
+    Laboratory, the U.S. Department of Energy, nor the names of their
+    contributors may be used to endorse or promote products derived
+    from this software without specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
+ EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+ PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT OWNER OR
+ CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
+ OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+ OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ The U.S. Department of Energy funded the development of this software
+ under subcontract 7078610 with Lawrence Berkeley National Laboratory.
+
+
+This code also includes files from the NVIDIA Tools Extension SDK project.
+
+See:
+
+   https://github.com/NVIDIA/NVTX
+
+for more information and license details.
+
+
+third_party/neon2sse/LICENSE
+----------------------------
+created by Victoria Zhislina, the Senior Application Engineer, Intel Corporation,  victoria.zhislina@intel.com
+
+*** Copyright (C) 2012-2016 Intel Corporation.  All rights reserved.
+
+IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+
+By downloading, copying, installing or using the software you agree to this license.
+If you do not agree to this license, do not download, install, copy or use the software.
+
+                             License Agreement
+Redistribution and use in source and binary forms, with or without modification,
+are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice,
+   this list of conditions and the following disclaimer.
+
+ * The name of the copyright holders may not be used to endorse or promote products
+   derived from this software without specific prior written permission.
+
+This software is provided by the copyright holders and contributors "as is" and
+any express or implied warranties, including, but not limited to, the implied
+warranties of merchantability and fitness for a particular purpose are disclaimed.
+In no event shall the Intel Corporation or contributors be liable for any direct,
+indirect, incidental, special, exemplary, or consequential damages
+(including, but not limited to, procurement of substitute goods or services;
+loss of use, data, or profits; or business interruption) however caused
+and on any theory of liability, whether in contract, strict liability,
+or tort (including negligence or otherwise) arising in any way out of
+the use of this software, even if advised of the possibility of such damage.
+
+
+third_party/onnx/LICENSE
+------------------------
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+
+third_party/onnx-tensorrt/third_party/onnx/LICENSE
+--------------------------------------------------
+Open Neural Network Exchange
+
+Copyright (c) Facebook, Inc. and Microsoft Corporation.
+All rights reserved. 
+
+MIT License
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the ""Software""), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED *AS IS*, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+
+third_party/onnx-tensorrt/LICENSE
+---------------------------------
+MIT License
+
+Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
+Copyright (c) 2018 Open Neural Network Exchange
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+
+third_party/kineto/libkineto/third_party/dynolog/third_party/pfs/LICENSE
+------------------------------------------------------------------------
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   Copyright 2020-present Daniel Trugman
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+
+third_party/protobuf/LICENSE
+----------------------------
+Copyright 2008 Google Inc.  All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+    * Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above
+copyright notice, this list of conditions and the following disclaimer
+in the documentation and/or other materials provided with the
+distribution.
+    * Neither the name of Google Inc. nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+Code generated by the Protocol Buffer compiler is owned by the owner
+of the input file used when generating it.  This code is not
+standalone and requires a support library to be linked with it.  This
+support library is itself covered by the above license.
+
+
+third_party/psimd/LICENSE
+-------------------------
+The MIT License (MIT)
+
+Copyright (c) 2017 Facebook Inc.
+Copyright (c) 2014-2017 Georgia Institute of Technology
+Copyright 2019 Google LLC
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+
+third_party/pthreadpool/LICENSE
+-------------------------------
+Copyright 2019 Google LLC
+Copyright (c) 2017 Facebook Inc.
+Copyright (c) 2015-2017 Georgia Institute of Technology
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+
+third_party/onnx/third_party/pybind11/LICENSE
+---------------------------------------------
+Copyright (c) 2016 Wenzel Jakob , All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its contributors
+   may be used to endorse or promote products derived from this software
+   without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+Please also refer to the file .github/CONTRIBUTING.md, which clarifies licensing of
+external contributions to this project including patches, pull requests, etc.
+
+
+third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/LICENSE
+-----------------------------------------------------------------------
+Copyright (c) 2016 Wenzel Jakob , All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its contributors
+   may be used to endorse or promote products derived from this software
+   without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+You are under no obligation whatsoever to provide any bug fixes, patches, or
+upgrades to the features, functionality or performance of the source code
+("Enhancements") to anyone; however, if you choose to make your Enhancements
+available either publicly, or directly to the author of this software, without
+imposing a separate written license agreement for such Enhancements, then you
+hereby grant the following license: a non-exclusive, royalty-free perpetual
+license to install, use, modify, prepare derivative works, incorporate into
+other computer software, distribute, and sublicense such enhancements or
+derivative works thereof, in binary and source code form.
+
+
+third_party/pybind11/LICENSE
+----------------------------
+Copyright (c) 2016 Wenzel Jakob , All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its contributors
+   may be used to endorse or promote products derived from this software
+   without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+Please also refer to the file .github/CONTRIBUTING.md, which clarifies licensing of
+external contributions to this project including patches, pull requests, etc.
+
+
+third_party/tensorpipe/third_party/pybind11/LICENSE
+---------------------------------------------------
+Copyright (c) 2016 Wenzel Jakob , All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its contributors
+   may be used to endorse or promote products derived from this software
+   without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+Please also refer to the file CONTRIBUTING.md, which clarifies licensing of
+external contributions to this project including patches, pull requests, etc.
+
+
+third_party/python-peachpy/LICENSE.rst
+--------------------------------------
+==============================
+PeachPy license (2-clause BSD)
+==============================
+
+Copyright (c) 2017, Facebook Inc.
+Copyright (c) 2013-2017, Georgia Institute of Technology
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/sleef/LICENSE.txt
+-----------------------------
+Boost Software License - Version 1.0 - August 17th, 2003
+
+Permission is hereby granted, free of charge, to any person or organization
+obtaining a copy of the software and accompanying documentation covered by
+this license (the "Software") to use, reproduce, display, distribute,
+execute, and transmit the Software, and to prepare derivative works of the
+Software, and to permit third-parties to whom the Software is furnished to
+do so, all subject to the following:
+
+The copyright notices in the Software and this entire statement, including
+the above license grant, this restriction and the following disclaimer,
+must be included in all copies of the Software, in whole or in part, and
+all derivative works of the Software, unless such copies or derivative
+works are solely in the form of machine-executable object code generated by
+a source language processor.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. IN NO EVENT
+SHALL THE COPYRIGHT HOLDERS OR ANYONE DISTRIBUTING THE SOFTWARE BE LIABLE
+FOR ANY DAMAGES OR OTHER LIABILITY, WHETHER IN CONTRACT, TORT OR OTHERWISE,
+ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+DEALINGS IN THE SOFTWARE.
+
+
+third_party/flatbuffers/swift/LICENSE
+-------------------------------------
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+
+third_party/kineto/tb_plugin/LICENSE
+------------------------------------
+BSD License
+
+For Kineto software
+
+Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
+
+All contributions by Microsoft:
+Copyright (c) Microsoft Corporation. (The Azure AI Platform team)
+
+Redistribution and use in source and binary forms, with or without modification,
+are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+ * Neither the name Facebook nor the names of its contributors may be used to
+   endorse or promote products derived from this software without specific
+   prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
+ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/tbb/LICENSE
+-----------------------
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+
+third_party/tensorpipe/LICENSE.txt
+----------------------------------
+BSD License
+
+For TensorPipe software
+
+Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
+
+Redistribution and use in source and binary forms, with or without modification,
+are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+ * Neither the name Meta nor the names of its contributors may be used to
+   endorse or promote products derived from this software without specific
+   prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
+ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+third_party/kineto/libkineto/third_party/dynolog/third_party/cpr/test/LICENSE
+-----------------------------------------------------------------------------
+This license applies to everything inside this directory and all
+subdirectories.
+
+                     GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. 
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
+  The GNU General Public License is a free, copyleft license for
+software and other kinds of works.
+
+  The licenses for most software and other practical works are designed
+to take away your freedom to share and change the works.  By contrast,
+the GNU General Public License is intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users.  We, the Free Software Foundation, use the
+GNU General Public License for most of our software; it applies also to
+any other work released this way by its authors.  You can apply it to
+your programs, too.
+
+  When we speak of free software, we are referring to freedom, not
+price.  Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
+them if you wish), that you receive source code or can get it if you
+want it, that you can change the software or use pieces of it in new
+free programs, and that you know you can do these things.
+
+  To protect your rights, we need to prevent others from denying you
+these rights or asking you to surrender the rights.  Therefore, you have
+certain responsibilities if you distribute copies of the software, or if
+you modify it: responsibilities to respect the freedom of others.
+
+  For example, if you distribute copies of such a program, whether
+gratis or for a fee, you must pass on to the recipients the same
+freedoms that you received.  You must make sure that they, too, receive
+or can get the source code.  And you must show them these terms so they
+know their rights.
+
+  Developers that use the GNU GPL protect your rights with two steps:
+(1) assert copyright on the software, and (2) offer you this License
+giving you legal permission to copy, distribute and/or modify it.
+
+  For the developers' and authors' protection, the GPL clearly explains
+that there is no warranty for this free software.  For both users' and
+authors' sake, the GPL requires that modified versions be marked as
+changed, so that their problems will not be attributed erroneously to
+authors of previous versions.
+
+  Some devices are designed to deny users access to install or run
+modified versions of the software inside them, although the manufacturer
+can do so.  This is fundamentally incompatible with the aim of
+protecting users' freedom to change the software.  The systematic
+pattern of such abuse occurs in the area of products for individuals to
+use, which is precisely where it is most unacceptable.  Therefore, we
+have designed this version of the GPL to prohibit the practice for those
+products.  If such problems arise substantially in other domains, we
+stand ready to extend this provision to those domains in future versions
+of the GPL, as needed to protect the freedom of users.
+
+  Finally, every program is threatened constantly by software patents.
+States should not allow patents to restrict development and use of
+software on general-purpose computers, but in those that do, we wish to
+avoid the special danger that patents applied to a free program could
+make it effectively proprietary.  To prevent this, the GPL assures that
+patents cannot be used to render the program non-free.
+
+  The precise terms and conditions for copying, distribution and
+modification follow.
+
+                       TERMS AND CONDITIONS
+
+  0. Definitions.
+
+  "This License" refers to version 3 of the GNU General Public License.
+
+  "Copyright" also means copyright-like laws that apply to other kinds of
+works, such as semiconductor masks.
+
+  "The Program" refers to any copyrightable work licensed under this
+License.  Each licensee is addressed as "you".  "Licensees" and
+"recipients" may be individuals or organizations.
+
+  To "modify" a work means to copy from or adapt all or part of the work
+in a fashion requiring copyright permission, other than the making of an
+exact copy.  The resulting work is called a "modified version" of the
+earlier work or a work "based on" the earlier work.
+
+  A "covered work" means either the unmodified Program or a work based
+on the Program.
+
+  To "propagate" a work means to do anything with it that, without
+permission, would make you directly or secondarily liable for
+infringement under applicable copyright law, except executing it on a
+computer or modifying a private copy.  Propagation includes copying,
+distribution (with or without modification), making available to the
+public, and in some countries other activities as well.
+
+  To "convey" a work means any kind of propagation that enables other
+parties to make or receive copies.  Mere interaction with a user through
+a computer network, with no transfer of a copy, is not conveying.
+
+  An interactive user interface displays "Appropriate Legal Notices"
+to the extent that it includes a convenient and prominently visible
+feature that (1) displays an appropriate copyright notice, and (2)
+tells the user that there is no warranty for the work (except to the
+extent that warranties are provided), that licensees may convey the
+work under this License, and how to view a copy of this License.  If
+the interface presents a list of user commands or options, such as a
+menu, a prominent item in the list meets this criterion.
+
+  1. Source Code.
+
+  The "source code" for a work means the preferred form of the work
+for making modifications to it.  "Object code" means any non-source
+form of a work.
+
+  A "Standard Interface" means an interface that either is an official
+standard defined by a recognized standards body, or, in the case of
+interfaces specified for a particular programming language, one that
+is widely used among developers working in that language.
+
+  The "System Libraries" of an executable work include anything, other
+than the work as a whole, that (a) is included in the normal form of
+packaging a Major Component, but which is not part of that Major
+Component, and (b) serves only to enable use of the work with that
+Major Component, or to implement a Standard Interface for which an
+implementation is available to the public in source code form.  A
+"Major Component", in this context, means a major essential component
+(kernel, window system, and so on) of the specific operating system
+(if any) on which the executable work runs, or a compiler used to
+produce the work, or an object code interpreter used to run it.
+
+  The "Corresponding Source" for a work in object code form means all
+the source code needed to generate, install, and (for an executable
+work) run the object code and to modify the work, including scripts to
+control those activities.  However, it does not include the work's
+System Libraries, or general-purpose tools or generally available free
+programs which are used unmodified in performing those activities but
+which are not part of the work.  For example, Corresponding Source
+includes interface definition files associated with source files for
+the work, and the source code for shared libraries and dynamically
+linked subprograms that the work is specifically designed to require,
+such as by intimate data communication or control flow between those
+subprograms and other parts of the work.
+
+  The Corresponding Source need not include anything that users
+can regenerate automatically from other parts of the Corresponding
+Source.
+
+  The Corresponding Source for a work in source code form is that
+same work.
+
+  2. Basic Permissions.
+
+  All rights granted under this License are granted for the term of
+copyright on the Program, and are irrevocable provided the stated
+conditions are met.  This License explicitly affirms your unlimited
+permission to run the unmodified Program.  The output from running a
+covered work is covered by this License only if the output, given its
+content, constitutes a covered work.  This License acknowledges your
+rights of fair use or other equivalent, as provided by copyright law.
+
+  You may make, run and propagate covered works that you do not
+convey, without conditions so long as your license otherwise remains
+in force.  You may convey covered works to others for the sole purpose
+of having them make modifications exclusively for you, or provide you
+with facilities for running those works, provided that you comply with
+the terms of this License in conveying all material for which you do
+not control copyright.  Those thus making or running the covered works
+for you must do so exclusively on your behalf, under your direction
+and control, on terms that prohibit them from making any copies of
+your copyrighted material outside their relationship with you.
+
+  Conveying under any other circumstances is permitted solely under
+the conditions stated below.  Sublicensing is not allowed; section 10
+makes it unnecessary.
+
+  3. Protecting Users' Legal Rights From Anti-Circumvention Law.
+
+  No covered work shall be deemed part of an effective technological
+measure under any applicable law fulfilling obligations under article
+11 of the WIPO copyright treaty adopted on 20 December 1996, or
+similar laws prohibiting or restricting circumvention of such
+measures.
+
+  When you convey a covered work, you waive any legal power to forbid
+circumvention of technological measures to the extent such circumvention
+is effected by exercising rights under this License with respect to
+the covered work, and you disclaim any intention to limit operation or
+modification of the work as a means of enforcing, against the work's
+users, your or third parties' legal rights to forbid circumvention of
+technological measures.
+
+  4. Conveying Verbatim Copies.
+
+  You may convey verbatim copies of the Program's source code as you
+receive it, in any medium, provided that you conspicuously and
+appropriately publish on each copy an appropriate copyright notice;
+keep intact all notices stating that this License and any
+non-permissive terms added in accord with section 7 apply to the code;
+keep intact all notices of the absence of any warranty; and give all
+recipients a copy of this License along with the Program.
+
+  You may charge any price or no price for each copy that you convey,
+and you may offer support or warranty protection for a fee.
+
+  5. Conveying Modified Source Versions.
+
+  You may convey a work based on the Program, or the modifications to
+produce it from the Program, in the form of source code under the
+terms of section 4, provided that you also meet all of these conditions:
+
+    a) The work must carry prominent notices stating that you modified
+    it, and giving a relevant date.
+
+    b) The work must carry prominent notices stating that it is
+    released under this License and any conditions added under section
+    7.  This requirement modifies the requirement in section 4 to
+    "keep intact all notices".
+
+    c) You must license the entire work, as a whole, under this
+    License to anyone who comes into possession of a copy.  This
+    License will therefore apply, along with any applicable section 7
+    additional terms, to the whole of the work, and all its parts,
+    regardless of how they are packaged.  This License gives no
+    permission to license the work in any other way, but it does not
+    invalidate such permission if you have separately received it.
+
+    d) If the work has interactive user interfaces, each must display
+    Appropriate Legal Notices; however, if the Program has interactive
+    interfaces that do not display Appropriate Legal Notices, your
+    work need not make them do so.
+
+  A compilation of a covered work with other separate and independent
+works, which are not by their nature extensions of the covered work,
+and which are not combined with it such as to form a larger program,
+in or on a volume of a storage or distribution medium, is called an
+"aggregate" if the compilation and its resulting copyright are not
+used to limit the access or legal rights of the compilation's users
+beyond what the individual works permit.  Inclusion of a covered work
+in an aggregate does not cause this License to apply to the other
+parts of the aggregate.
+
+  6. Conveying Non-Source Forms.
+
+  You may convey a covered work in object code form under the terms
+of sections 4 and 5, provided that you also convey the
+machine-readable Corresponding Source under the terms of this License,
+in one of these ways:
+
+    a) Convey the object code in, or embodied in, a physical product
+    (including a physical distribution medium), accompanied by the
+    Corresponding Source fixed on a durable physical medium
+    customarily used for software interchange.
+
+    b) Convey the object code in, or embodied in, a physical product
+    (including a physical distribution medium), accompanied by a
+    written offer, valid for at least three years and valid for as
+    long as you offer spare parts or customer support for that product
+    model, to give anyone who possesses the object code either (1) a
+    copy of the Corresponding Source for all the software in the
+    product that is covered by this License, on a durable physical
+    medium customarily used for software interchange, for a price no
+    more than your reasonable cost of physically performing this
+    conveying of source, or (2) access to copy the
+    Corresponding Source from a network server at no charge.
+
+    c) Convey individual copies of the object code with a copy of the
+    written offer to provide the Corresponding Source.  This
+    alternative is allowed only occasionally and noncommercially, and
+    only if you received the object code with such an offer, in accord
+    with subsection 6b.
+
+    d) Convey the object code by offering access from a designated
+    place (gratis or for a charge), and offer equivalent access to the
+    Corresponding Source in the same way through the same place at no
+    further charge.  You need not require recipients to copy the
+    Corresponding Source along with the object code.  If the place to
+    copy the object code is a network server, the Corresponding Source
+    may be on a different server (operated by you or a third party)
+    that supports equivalent copying facilities, provided you maintain
+    clear directions next to the object code saying where to find the
+    Corresponding Source.  Regardless of what server hosts the
+    Corresponding Source, you remain obligated to ensure that it is
+    available for as long as needed to satisfy these requirements.
+
+    e) Convey the object code using peer-to-peer transmission, provided
+    you inform other peers where the object code and Corresponding
+    Source of the work are being offered to the general public at no
+    charge under subsection 6d.
+
+  A separable portion of the object code, whose source code is excluded
+from the Corresponding Source as a System Library, need not be
+included in conveying the object code work.
+
+  A "User Product" is either (1) a "consumer product", which means any
+tangible personal property which is normally used for personal, family,
+or household purposes, or (2) anything designed or sold for incorporation
+into a dwelling.  In determining whether a product is a consumer product,
+doubtful cases shall be resolved in favor of coverage.  For a particular
+product received by a particular user, "normally used" refers to a
+typical or common use of that class of product, regardless of the status
+of the particular user or of the way in which the particular user
+actually uses, or expects or is expected to use, the product.  A product
+is a consumer product regardless of whether the product has substantial
+commercial, industrial or non-consumer uses, unless such uses represent
+the only significant mode of use of the product.
+
+  "Installation Information" for a User Product means any methods,
+procedures, authorization keys, or other information required to install
+and execute modified versions of a covered work in that User Product from
+a modified version of its Corresponding Source.  The information must
+suffice to ensure that the continued functioning of the modified object
+code is in no case prevented or interfered with solely because
+modification has been made.
+
+  If you convey an object code work under this section in, or with, or
+specifically for use in, a User Product, and the conveying occurs as
+part of a transaction in which the right of possession and use of the
+User Product is transferred to the recipient in perpetuity or for a
+fixed term (regardless of how the transaction is characterized), the
+Corresponding Source conveyed under this section must be accompanied
+by the Installation Information.  But this requirement does not apply
+if neither you nor any third party retains the ability to install
+modified object code on the User Product (for example, the work has
+been installed in ROM).
+
+  The requirement to provide Installation Information does not include a
+requirement to continue to provide support service, warranty, or updates
+for a work that has been modified or installed by the recipient, or for
+the User Product in which it has been modified or installed.  Access to a
+network may be denied when the modification itself materially and
+adversely affects the operation of the network or violates the rules and
+protocols for communication across the network.
+
+  Corresponding Source conveyed, and Installation Information provided,
+in accord with this section must be in a format that is publicly
+documented (and with an implementation available to the public in
+source code form), and must require no special password or key for
+unpacking, reading or copying.
+
+  7. Additional Terms.
+
+  "Additional permissions" are terms that supplement the terms of this
+License by making exceptions from one or more of its conditions.
+Additional permissions that are applicable to the entire Program shall
+be treated as though they were included in this License, to the extent
+that they are valid under applicable law.  If additional permissions
+apply only to part of the Program, that part may be used separately
+under those permissions, but the entire Program remains governed by
+this License without regard to the additional permissions.
+
+  When you convey a copy of a covered work, you may at your option
+remove any additional permissions from that copy, or from any part of
+it.  (Additional permissions may be written to require their own
+removal in certain cases when you modify the work.)  You may place
+additional permissions on material, added by you to a covered work,
+for which you have or can give appropriate copyright permission.
+
+  Notwithstanding any other provision of this License, for material you
+add to a covered work, you may (if authorized by the copyright holders of
+that material) supplement the terms of this License with terms:
+
+    a) Disclaiming warranty or limiting liability differently from the
+    terms of sections 15 and 16 of this License; or
+
+    b) Requiring preservation of specified reasonable legal notices or
+    author attributions in that material or in the Appropriate Legal
+    Notices displayed by works containing it; or
+
+    c) Prohibiting misrepresentation of the origin of that material, or
+    requiring that modified versions of such material be marked in
+    reasonable ways as different from the original version; or
+
+    d) Limiting the use for publicity purposes of names of licensors or
+    authors of the material; or
+
+    e) Declining to grant rights under trademark law for use of some
+    trade names, trademarks, or service marks; or
+
+    f) Requiring indemnification of licensors and authors of that
+    material by anyone who conveys the material (or modified versions of
+    it) with contractual assumptions of liability to the recipient, for
+    any liability that these contractual assumptions directly impose on
+    those licensors and authors.
+
+  All other non-permissive additional terms are considered "further
+restrictions" within the meaning of section 10.  If the Program as you
+received it, or any part of it, contains a notice stating that it is
+governed by this License along with a term that is a further
+restriction, you may remove that term.  If a license document contains
+a further restriction but permits relicensing or conveying under this
+License, you may add to a covered work material governed by the terms
+of that license document, provided that the further restriction does
+not survive such relicensing or conveying.
+
+  If you add terms to a covered work in accord with this section, you
+must place, in the relevant source files, a statement of the
+additional terms that apply to those files, or a notice indicating
+where to find the applicable terms.
+
+  Additional terms, permissive or non-permissive, may be stated in the
+form of a separately written license, or stated as exceptions;
+the above requirements apply either way.
+
+  8. Termination.
+
+  You may not propagate or modify a covered work except as expressly
+provided under this License.  Any attempt otherwise to propagate or
+modify it is void, and will automatically terminate your rights under
+this License (including any patent licenses granted under the third
+paragraph of section 11).
+
+  However, if you cease all violation of this License, then your
+license from a particular copyright holder is reinstated (a)
+provisionally, unless and until the copyright holder explicitly and
+finally terminates your license, and (b) permanently, if the copyright
+holder fails to notify you of the violation by some reasonable means
+prior to 60 days after the cessation.
+
+  Moreover, your license from a particular copyright holder is
+reinstated permanently if the copyright holder notifies you of the
+violation by some reasonable means, this is the first time you have
+received notice of violation of this License (for any work) from that
+copyright holder, and you cure the violation prior to 30 days after
+your receipt of the notice.
+
+  Termination of your rights under this section does not terminate the
+licenses of parties who have received copies or rights from you under
+this License.  If your rights have been terminated and not permanently
+reinstated, you do not qualify to receive new licenses for the same
+material under section 10.
+
+  9. Acceptance Not Required for Having Copies.
+
+  You are not required to accept this License in order to receive or
+run a copy of the Program.  Ancillary propagation of a covered work
+occurring solely as a consequence of using peer-to-peer transmission
+to receive a copy likewise does not require acceptance.  However,
+nothing other than this License grants you permission to propagate or
+modify any covered work.  These actions infringe copyright if you do
+not accept this License.  Therefore, by modifying or propagating a
+covered work, you indicate your acceptance of this License to do so.
+
+  10. Automatic Licensing of Downstream Recipients.
+
+  Each time you convey a covered work, the recipient automatically
+receives a license from the original licensors, to run, modify and
+propagate that work, subject to this License.  You are not responsible
+for enforcing compliance by third parties with this License.
+
+  An "entity transaction" is a transaction transferring control of an
+organization, or substantially all assets of one, or subdividing an
+organization, or merging organizations.  If propagation of a covered
+work results from an entity transaction, each party to that
+transaction who receives a copy of the work also receives whatever
+licenses to the work the party's predecessor in interest had or could
+give under the previous paragraph, plus a right to possession of the
+Corresponding Source of the work from the predecessor in interest, if
+the predecessor has it or can get it with reasonable efforts.
+
+  You may not impose any further restrictions on the exercise of the
+rights granted or affirmed under this License.  For example, you may
+not impose a license fee, royalty, or other charge for exercise of
+rights granted under this License, and you may not initiate litigation
+(including a cross-claim or counterclaim in a lawsuit) alleging that
+any patent claim is infringed by making, using, selling, offering for
+sale, or importing the Program or any portion of it.
+
+  11. Patents.
+
+  A "contributor" is a copyright holder who authorizes use under this
+License of the Program or a work on which the Program is based.  The
+work thus licensed is called the contributor's "contributor version".
+
+  A contributor's "essential patent claims" are all patent claims
+owned or controlled by the contributor, whether already acquired or
+hereafter acquired, that would be infringed by some manner, permitted
+by this License, of making, using, or selling its contributor version,
+but do not include claims that would be infringed only as a
+consequence of further modification of the contributor version.  For
+purposes of this definition, "control" includes the right to grant
+patent sublicenses in a manner consistent with the requirements of
+this License.
+
+  Each contributor grants you a non-exclusive, worldwide, royalty-free
+patent license under the contributor's essential patent claims, to
+make, use, sell, offer for sale, import and otherwise run, modify and
+propagate the contents of its contributor version.
+
+  In the following three paragraphs, a "patent license" is any express
+agreement or commitment, however denominated, not to enforce a patent
+(such as an express permission to practice a patent or covenant not to
+sue for patent infringement).  To "grant" such a patent license to a
+party means to make such an agreement or commitment not to enforce a
+patent against the party.
+
+  If you convey a covered work, knowingly relying on a patent license,
+and the Corresponding Source of the work is not available for anyone
+to copy, free of charge and under the terms of this License, through a
+publicly available network server or other readily accessible means,
+then you must either (1) cause the Corresponding Source to be so
+available, or (2) arrange to deprive yourself of the benefit of the
+patent license for this particular work, or (3) arrange, in a manner
+consistent with the requirements of this License, to extend the patent
+license to downstream recipients.  "Knowingly relying" means you have
+actual knowledge that, but for the patent license, your conveying the
+covered work in a country, or your recipient's use of the covered work
+in a country, would infringe one or more identifiable patents in that
+country that you have reason to believe are valid.
+
+  If, pursuant to or in connection with a single transaction or
+arrangement, you convey, or propagate by procuring conveyance of, a
+covered work, and grant a patent license to some of the parties
+receiving the covered work authorizing them to use, propagate, modify
+or convey a specific copy of the covered work, then the patent license
+you grant is automatically extended to all recipients of the covered
+work and works based on it.
+
+  A patent license is "discriminatory" if it does not include within
+the scope of its coverage, prohibits the exercise of, or is
+conditioned on the non-exercise of one or more of the rights that are
+specifically granted under this License.  You may not convey a covered
+work if you are a party to an arrangement with a third party that is
+in the business of distributing software, under which you make payment
+to the third party based on the extent of your activity of conveying
+the work, and under which the third party grants, to any of the
+parties who would receive the covered work from you, a discriminatory
+patent license (a) in connection with copies of the covered work
+conveyed by you (or copies made from those copies), or (b) primarily
+for and in connection with specific products or compilations that
+contain the covered work, unless you entered into that arrangement,
+or that patent license was granted, prior to 28 March 2007.
+
+  Nothing in this License shall be construed as excluding or limiting
+any implied license or other defenses to infringement that may
+otherwise be available to you under applicable patent law.
+
+  12. No Surrender of Others' Freedom.
+
+  If conditions are imposed on you (whether by court order, agreement or
+otherwise) that contradict the conditions of this License, they do not
+excuse you from the conditions of this License.  If you cannot convey a
+covered work so as to satisfy simultaneously your obligations under this
+License and any other pertinent obligations, then as a consequence you may
+not convey it at all.  For example, if you agree to terms that obligate you
+to collect a royalty for further conveying from those to whom you convey
+the Program, the only way you could satisfy both those terms and this
+License would be to refrain entirely from conveying the Program.
+
+  13. Use with the GNU Affero General Public License.
+
+  Notwithstanding any other provision of this License, you have
+permission to link or combine any covered work with a work licensed
+under version 3 of the GNU Affero General Public License into a single
+combined work, and to convey the resulting work.  The terms of this
+License will continue to apply to the part which is the covered work,
+but the special requirements of the GNU Affero General Public License,
+section 13, concerning interaction through a network will apply to the
+combination as such.
+
+  14. Revised Versions of this License.
+
+  The Free Software Foundation may publish revised and/or new versions of
+the GNU General Public License from time to time.  Such new versions will
+be similar in spirit to the present version, but may differ in detail to
+address new problems or concerns.
+
+  Each version is given a distinguishing version number.  If the
+Program specifies that a certain numbered version of the GNU General
+Public License "or any later version" applies to it, you have the
+option of following the terms and conditions either of that numbered
+version or of any later version published by the Free Software
+Foundation.  If the Program does not specify a version number of the
+GNU General Public License, you may choose any version ever published
+by the Free Software Foundation.
+
+  If the Program specifies that a proxy can decide which future
+versions of the GNU General Public License can be used, that proxy's
+public statement of acceptance of a version permanently authorizes you
+to choose that version for the Program.
+
+  Later license versions may give you additional or different
+permissions.  However, no additional obligations are imposed on any
+author or copyright holder as a result of your choosing to follow a
+later version.
+
+  15. Disclaimer of Warranty.
+
+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
+THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+PURPOSE.  THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
+IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
+ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
+
+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    
+    Copyright (C)   
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see .
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
+
+      Copyright (C)   
+    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+    This is free software, and you are welcome to redistribute it
+    under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License.  Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+.
+
+  The GNU General Public License does not permit incorporating your program
+into proprietary programs.  If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
+the library.  If this is what you want to do, use the GNU Lesser General
+Public License instead of this License.  But first, please read
+.
+
+third_party/zstd/LICENSE
+------------------------
+BSD License
+
+For Zstandard software
+
+Copyright (c) 2016-present, Facebook, Inc. All rights reserved.
+
+Redistribution and use in source and binary forms, with or without modification,
+are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+ * Neither the name Facebook nor the names of its contributors may be used to
+   endorse or promote products derived from this software without specific
+   prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
+ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
diff --git a/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/METADATA b/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/METADATA
new file mode 100644
index 0000000000000000000000000000000000000000..40dea0a66ff58b14512eac5df49df42ab00c51b0
--- /dev/null
+++ b/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/METADATA
@@ -0,0 +1,522 @@
+Metadata-Version: 2.1
+Name: torch
+Version: 2.2.2
+Summary: Tensors and Dynamic neural networks in Python with strong GPU acceleration
+Home-page: https://pytorch.org/
+Author: PyTorch Team
+Author-email: packages@pytorch.org
+License: BSD-3
+Download-URL: https://github.com/pytorch/pytorch/tags
+Keywords: pytorch,machine learning
+Platform: UNKNOWN
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: Education
+Classifier: Intended Audience :: Science/Research
+Classifier: License :: OSI Approved :: BSD License
+Classifier: Topic :: Scientific/Engineering
+Classifier: Topic :: Scientific/Engineering :: Mathematics
+Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
+Classifier: Topic :: Software Development
+Classifier: Topic :: Software Development :: Libraries
+Classifier: Topic :: Software Development :: Libraries :: Python Modules
+Classifier: Programming Language :: C++
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Programming Language :: Python :: 3.12
+Requires-Python: >=3.8.0
+Description-Content-Type: text/markdown
+License-File: LICENSE
+License-File: NOTICE
+Requires-Dist: filelock
+Requires-Dist: typing-extensions (>=4.8.0)
+Requires-Dist: sympy
+Requires-Dist: networkx
+Requires-Dist: jinja2
+Requires-Dist: fsspec
+Requires-Dist: nvidia-cuda-nvrtc-cu12 (==12.1.105) ; platform_system == "Linux" and platform_machine == "x86_64"
+Requires-Dist: nvidia-cuda-runtime-cu12 (==12.1.105) ; platform_system == "Linux" and platform_machine == "x86_64"
+Requires-Dist: nvidia-cuda-cupti-cu12 (==12.1.105) ; platform_system == "Linux" and platform_machine == "x86_64"
+Requires-Dist: nvidia-cudnn-cu12 (==8.9.2.26) ; platform_system == "Linux" and platform_machine == "x86_64"
+Requires-Dist: nvidia-cublas-cu12 (==12.1.3.1) ; platform_system == "Linux" and platform_machine == "x86_64"
+Requires-Dist: nvidia-cufft-cu12 (==11.0.2.54) ; platform_system == "Linux" and platform_machine == "x86_64"
+Requires-Dist: nvidia-curand-cu12 (==10.3.2.106) ; platform_system == "Linux" and platform_machine == "x86_64"
+Requires-Dist: nvidia-cusolver-cu12 (==11.4.5.107) ; platform_system == "Linux" and platform_machine == "x86_64"
+Requires-Dist: nvidia-cusparse-cu12 (==12.1.0.106) ; platform_system == "Linux" and platform_machine == "x86_64"
+Requires-Dist: nvidia-nccl-cu12 (==2.19.3) ; platform_system == "Linux" and platform_machine == "x86_64"
+Requires-Dist: nvidia-nvtx-cu12 (==12.1.105) ; platform_system == "Linux" and platform_machine == "x86_64"
+Requires-Dist: triton (==2.2.0) ; platform_system == "Linux" and platform_machine == "x86_64" and python_version < "3.12"
+Provides-Extra: opt-einsum
+Requires-Dist: opt-einsum (>=3.3) ; extra == 'opt-einsum'
+Provides-Extra: optree
+Requires-Dist: optree (>=0.9.1) ; extra == 'optree'
+
+![PyTorch Logo](https://github.com/pytorch/pytorch/blob/main/docs/source/_static/img/pytorch-logo-dark.png)
+
+--------------------------------------------------------------------------------
+
+PyTorch is a Python package that provides two high-level features:
+- Tensor computation (like NumPy) with strong GPU acceleration
+- Deep neural networks built on a tape-based autograd system
+
+You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
+
+Our trunk health (Continuous Integration signals) can be found at [hud.pytorch.org](https://hud.pytorch.org/ci/pytorch/pytorch/main).
+
+
+
+- [More About PyTorch](#more-about-pytorch)
+  - [A GPU-Ready Tensor Library](#a-gpu-ready-tensor-library)
+  - [Dynamic Neural Networks: Tape-Based Autograd](#dynamic-neural-networks-tape-based-autograd)
+  - [Python First](#python-first)
+  - [Imperative Experiences](#imperative-experiences)
+  - [Fast and Lean](#fast-and-lean)
+  - [Extensions Without Pain](#extensions-without-pain)
+- [Installation](#installation)
+  - [Binaries](#binaries)
+    - [NVIDIA Jetson Platforms](#nvidia-jetson-platforms)
+  - [From Source](#from-source)
+    - [Prerequisites](#prerequisites)
+    - [Install Dependencies](#install-dependencies)
+    - [Get the PyTorch Source](#get-the-pytorch-source)
+    - [Install PyTorch](#install-pytorch)
+      - [Adjust Build Options (Optional)](#adjust-build-options-optional)
+  - [Docker Image](#docker-image)
+    - [Using pre-built images](#using-pre-built-images)
+    - [Building the image yourself](#building-the-image-yourself)
+  - [Building the Documentation](#building-the-documentation)
+  - [Previous Versions](#previous-versions)
+- [Getting Started](#getting-started)
+- [Resources](#resources)
+- [Communication](#communication)
+- [Releases and Contributing](#releases-and-contributing)
+- [The Team](#the-team)
+- [License](#license)
+
+
+
+## More About PyTorch
+
+[Learn the basics of PyTorch](https://pytorch.org/tutorials/beginner/basics/intro.html)
+
+At a granular level, PyTorch is a library that consists of the following components:
+
+| Component | Description |
+| ---- | --- |
+| [**torch**](https://pytorch.org/docs/stable/torch.html) | A Tensor library like NumPy, with strong GPU support |
+| [**torch.autograd**](https://pytorch.org/docs/stable/autograd.html) | A tape-based automatic differentiation library that supports all differentiable Tensor operations in torch |
+| [**torch.jit**](https://pytorch.org/docs/stable/jit.html) | A compilation stack (TorchScript) to create serializable and optimizable models from PyTorch code  |
+| [**torch.nn**](https://pytorch.org/docs/stable/nn.html) | A neural networks library deeply integrated with autograd designed for maximum flexibility |
+| [**torch.multiprocessing**](https://pytorch.org/docs/stable/multiprocessing.html) | Python multiprocessing, but with magical memory sharing of torch Tensors across processes. Useful for data loading and Hogwild training |
+| [**torch.utils**](https://pytorch.org/docs/stable/data.html) | DataLoader and other utility functions for convenience |
+
+Usually, PyTorch is used either as:
+
+- A replacement for NumPy to use the power of GPUs.
+- A deep learning research platform that provides maximum flexibility and speed.
+
+Elaborating Further:
+
+### A GPU-Ready Tensor Library
+
+If you use NumPy, then you have used Tensors (a.k.a. ndarray).
+
+![Tensor illustration](./docs/source/_static/img/tensor_illustration.png)
+
+PyTorch provides Tensors that can live either on the CPU or the GPU and accelerates the
+computation by a huge amount.
+
+We provide a wide variety of tensor routines to accelerate and fit your scientific computation needs
+such as slicing, indexing, mathematical operations, linear algebra, reductions.
+And they are fast!
+
+### Dynamic Neural Networks: Tape-Based Autograd
+
+PyTorch has a unique way of building neural networks: using and replaying a tape recorder.
+
+Most frameworks such as TensorFlow, Theano, Caffe, and CNTK have a static view of the world.
+One has to build a neural network and reuse the same structure again and again.
+Changing the way the network behaves means that one has to start from scratch.
+
+With PyTorch, we use a technique called reverse-mode auto-differentiation, which allows you to
+change the way your network behaves arbitrarily with zero lag or overhead. Our inspiration comes
+from several research papers on this topic, as well as current and past work such as
+[torch-autograd](https://github.com/twitter/torch-autograd),
+[autograd](https://github.com/HIPS/autograd),
+[Chainer](https://chainer.org), etc.
+
+While this technique is not unique to PyTorch, it's one of the fastest implementations of it to date.
+You get the best of speed and flexibility for your crazy research.
+
+![Dynamic graph](https://github.com/pytorch/pytorch/blob/main/docs/source/_static/img/dynamic_graph.gif)
+
+### Python First
+
+PyTorch is not a Python binding into a monolithic C++ framework.
+It is built to be deeply integrated into Python.
+You can use it naturally like you would use [NumPy](https://www.numpy.org/) / [SciPy](https://www.scipy.org/) / [scikit-learn](https://scikit-learn.org) etc.
+You can write your new neural network layers in Python itself, using your favorite libraries
+and use packages such as [Cython](https://cython.org/) and [Numba](http://numba.pydata.org/).
+Our goal is to not reinvent the wheel where appropriate.
+
+### Imperative Experiences
+
+PyTorch is designed to be intuitive, linear in thought, and easy to use.
+When you execute a line of code, it gets executed. There isn't an asynchronous view of the world.
+When you drop into a debugger or receive error messages and stack traces, understanding them is straightforward.
+The stack trace points to exactly where your code was defined.
+We hope you never spend hours debugging your code because of bad stack traces or asynchronous and opaque execution engines.
+
+### Fast and Lean
+
+PyTorch has minimal framework overhead. We integrate acceleration libraries
+such as [Intel MKL](https://software.intel.com/mkl) and NVIDIA ([cuDNN](https://developer.nvidia.com/cudnn), [NCCL](https://developer.nvidia.com/nccl)) to maximize speed.
+At the core, its CPU and GPU Tensor and neural network backends
+are mature and have been tested for years.
+
+Hence, PyTorch is quite fast — whether you run small or large neural networks.
+
+The memory usage in PyTorch is extremely efficient compared to Torch or some of the alternatives.
+We've written custom memory allocators for the GPU to make sure that
+your deep learning models are maximally memory efficient.
+This enables you to train bigger deep learning models than before.
+
+### Extensions Without Pain
+
+Writing new neural network modules, or interfacing with PyTorch's Tensor API was designed to be straightforward
+and with minimal abstractions.
+
+You can write new neural network layers in Python using the torch API
+[or your favorite NumPy-based libraries such as SciPy](https://pytorch.org/tutorials/advanced/numpy_extensions_tutorial.html).
+
+If you want to write your layers in C/C++, we provide a convenient extension API that is efficient and with minimal boilerplate.
+No wrapper code needs to be written. You can see [a tutorial here](https://pytorch.org/tutorials/advanced/cpp_extension.html) and [an example here](https://github.com/pytorch/extension-cpp).
+
+
+## Installation
+
+### Binaries
+Commands to install binaries via Conda or pip wheels are on our website: [https://pytorch.org/get-started/locally/](https://pytorch.org/get-started/locally/)
+
+
+#### NVIDIA Jetson Platforms
+
+Python wheels for NVIDIA's Jetson Nano, Jetson TX1/TX2, Jetson Xavier NX/AGX, and Jetson AGX Orin are provided [here](https://forums.developer.nvidia.com/t/pytorch-for-jetson-version-1-10-now-available/72048) and the L4T container is published [here](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-pytorch)
+
+They require JetPack 4.2 and above, and [@dusty-nv](https://github.com/dusty-nv) and [@ptrblck](https://github.com/ptrblck) are maintaining them.
+
+
+### From Source
+
+#### Prerequisites
+If you are installing from source, you will need:
+- Python 3.8 or later (for Linux, Python 3.8.1+ is needed)
+- A compiler that fully supports C++17, such as clang or gcc (gcc 9.4.0 or newer is required)
+
+We highly recommend installing an [Anaconda](https://www.anaconda.com/download) environment. You will get a high-quality BLAS library (MKL) and you get controlled dependency versions regardless of your Linux distro.
+
+If you want to compile with CUDA support, [select a supported version of CUDA from our support matrix](https://pytorch.org/get-started/locally/), then install the following:
+- [NVIDIA CUDA](https://developer.nvidia.com/cuda-downloads)
+- [NVIDIA cuDNN](https://developer.nvidia.com/cudnn) v7 or above
+- [Compiler](https://gist.github.com/ax3l/9489132) compatible with CUDA
+
+Note: You could refer to the [cuDNN Support Matrix](https://docs.nvidia.com/deeplearning/cudnn/pdf/cuDNN-Support-Matrix.pdf) for cuDNN versions with the various supported CUDA, CUDA driver and NVIDIA hardware
+
+If you want to disable CUDA support, export the environment variable `USE_CUDA=0`.
+Other potentially useful environment variables may be found in `setup.py`.
+
+If you are building for NVIDIA's Jetson platforms (Jetson Nano, TX1, TX2, AGX Xavier), Instructions to install PyTorch for Jetson Nano are [available here](https://devtalk.nvidia.com/default/topic/1049071/jetson-nano/pytorch-for-jetson-nano/)
+
+If you want to compile with ROCm support, install
+- [AMD ROCm](https://rocm.docs.amd.com/en/latest/deploy/linux/quick_start.html) 4.0 and above installation
+- ROCm is currently supported only for Linux systems.
+
+If you want to disable ROCm support, export the environment variable `USE_ROCM=0`.
+Other potentially useful environment variables may be found in `setup.py`.
+
+#### Install Dependencies
+
+**Common**
+
+```bash
+conda install cmake ninja
+# Run this command from the PyTorch directory after cloning the source code using the “Get the PyTorch Source“ section below
+pip install -r requirements.txt
+```
+
+**On Linux**
+
+```bash
+conda install mkl mkl-include
+# CUDA only: Add LAPACK support for the GPU if needed
+conda install -c pytorch magma-cuda110  # or the magma-cuda* that matches your CUDA version from https://anaconda.org/pytorch/repo
+
+# (optional) If using torch.compile with inductor/triton, install the matching version of triton
+# Run from the pytorch directory after cloning
+make triton
+```
+
+**On MacOS**
+
+```bash
+# Add this package on intel x86 processor machines only
+conda install mkl mkl-include
+# Add these packages if torch.distributed is needed
+conda install pkg-config libuv
+```
+
+**On Windows**
+
+```bash
+conda install mkl mkl-include
+# Add these packages if torch.distributed is needed.
+# Distributed package support on Windows is a prototype feature and is subject to changes.
+conda install -c conda-forge libuv=1.39
+```
+
+#### Get the PyTorch Source
+```bash
+git clone --recursive https://github.com/pytorch/pytorch
+cd pytorch
+# if you are updating an existing checkout
+git submodule sync
+git submodule update --init --recursive
+```
+
+#### Install PyTorch
+**On Linux**
+
+If you would like to compile PyTorch with [new C++ ABI](https://gcc.gnu.org/onlinedocs/libstdc++/manual/using_dual_abi.html) enabled, then first run this command:
+```bash
+export _GLIBCXX_USE_CXX11_ABI=1
+```
+
+If you're compiling for AMD ROCm then first run this command:
+```bash
+# Only run this if you're compiling for ROCm
+python tools/amd_build/build_amd.py
+```
+
+Install PyTorch
+```bash
+export CMAKE_PREFIX_PATH=${CONDA_PREFIX:-"$(dirname $(which conda))/../"}
+python setup.py develop
+```
+
+> _Aside:_ If you are using [Anaconda](https://www.anaconda.com/distribution/#download-section), you may experience an error caused by the linker:
+>
+> ```plaintext
+> build/temp.linux-x86_64-3.7/torch/csrc/stub.o: file not recognized: file format not recognized
+> collect2: error: ld returned 1 exit status
+> error: command 'g++' failed with exit status 1
+> ```
+>
+> This is caused by `ld` from the Conda environment shadowing the system `ld`. You should use a newer version of Python that fixes this issue. The recommended Python version is 3.8.1+.
+
+**On macOS**
+
+```bash
+python3 setup.py develop
+```
+
+**On Windows**
+
+Choose Correct Visual Studio Version.
+
+PyTorch CI uses Visual C++ BuildTools, which come with Visual Studio Enterprise,
+Professional, or Community Editions. You can also install the build tools from
+https://visualstudio.microsoft.com/visual-cpp-build-tools/. The build tools *do not*
+come with Visual Studio Code by default.
+
+If you want to build legacy python code, please refer to [Building on legacy code and CUDA](https://github.com/pytorch/pytorch/blob/main/CONTRIBUTING.md#building-on-legacy-code-and-cuda)
+
+**CPU-only builds**
+
+In this mode PyTorch computations will run on your CPU, not your GPU
+
+```cmd
+conda activate
+python setup.py develop
+```
+
+Note on OpenMP: The desired OpenMP implementation is Intel OpenMP (iomp). In order to link against iomp, you'll need to manually download the library and set up the building environment by tweaking `CMAKE_INCLUDE_PATH` and `LIB`. The instruction [here](https://github.com/pytorch/pytorch/blob/main/docs/source/notes/windows.rst#building-from-source) is an example for setting up both MKL and Intel OpenMP. Without these configurations for CMake, Microsoft Visual C OpenMP runtime (vcomp) will be used.
+
+**CUDA based build**
+
+In this mode PyTorch computations will leverage your GPU via CUDA for faster number crunching
+
+[NVTX](https://docs.nvidia.com/gameworks/content/gameworkslibrary/nvtx/nvidia_tools_extension_library_nvtx.htm) is needed to build Pytorch with CUDA.
+NVTX is a part of CUDA distributive, where it is called "Nsight Compute". To install it onto an already installed CUDA run CUDA installation once again and check the corresponding checkbox.
+Make sure that CUDA with Nsight Compute is installed after Visual Studio.
+
+Currently, VS 2017 / 2019, and Ninja are supported as the generator of CMake. If `ninja.exe` is detected in `PATH`, then Ninja will be used as the default generator, otherwise, it will use VS 2017 / 2019.
+
If Ninja is selected as the generator, the latest MSVC will get selected as the underlying toolchain. + +Additional libraries such as +[Magma](https://developer.nvidia.com/magma), [oneDNN, a.k.a. MKLDNN or DNNL](https://github.com/oneapi-src/oneDNN), and [Sccache](https://github.com/mozilla/sccache) are often needed. Please refer to the [installation-helper](https://github.com/pytorch/pytorch/tree/main/.ci/pytorch/win-test-helpers/installation-helpers) to install them. + +You can refer to the [build_pytorch.bat](https://github.com/pytorch/pytorch/blob/main/.ci/pytorch/win-test-helpers/build_pytorch.bat) script for some other environment variables configurations + + +```cmd +cmd + +:: Set the environment variables after you have downloaded and unzipped the mkl package, +:: else CMake would throw an error as `Could NOT find OpenMP`. +set CMAKE_INCLUDE_PATH={Your directory}\mkl\include +set LIB={Your directory}\mkl\lib;%LIB% + +:: Read the content in the previous section carefully before you proceed. +:: [Optional] If you want to override the underlying toolset used by Ninja and Visual Studio with CUDA, please run the following script block. +:: "Visual Studio 2019 Developer Command Prompt" will be run automatically. +:: Make sure you have CMake >= 3.12 before you do this when you use the Visual Studio generator. +set CMAKE_GENERATOR_TOOLSET_VERSION=14.27 +set DISTUTILS_USE_SDK=1 +for /f "usebackq tokens=*" %i in (`"%ProgramFiles(x86)%\Microsoft Visual Studio\Installer\vswhere.exe" -version [15^,17^) -products * -latest -property installationPath`) do call "%i\VC\Auxiliary\Build\vcvarsall.bat" x64 -vcvars_ver=%CMAKE_GENERATOR_TOOLSET_VERSION% + +:: [Optional] If you want to override the CUDA host compiler +set CUDAHOSTCXX=C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.27.29110\bin\HostX64\x64\cl.exe + +python setup.py develop + +``` + +##### Adjust Build Options (Optional) + +You can adjust the configuration of cmake variables optionally (without building first), by doing +the following. For example, adjusting the pre-detected directories for CuDNN or BLAS can be done +with such a step. + +On Linux +```bash +export CMAKE_PREFIX_PATH=${CONDA_PREFIX:-"$(dirname $(which conda))/../"} +python setup.py build --cmake-only +ccmake build # or cmake-gui build +``` + +On macOS +```bash +export CMAKE_PREFIX_PATH=${CONDA_PREFIX:-"$(dirname $(which conda))/../"} +MACOSX_DEPLOYMENT_TARGET=10.9 CC=clang CXX=clang++ python setup.py build --cmake-only +ccmake build # or cmake-gui build +``` + +### Docker Image + +#### Using pre-built images + +You can also pull a pre-built docker image from Docker Hub and run with docker v19.03+ + +```bash +docker run --gpus all --rm -ti --ipc=host pytorch/pytorch:latest +``` + +Please note that PyTorch uses shared memory to share data between processes, so if torch multiprocessing is used (e.g. +for multithreaded data loaders) the default shared memory segment size that container runs with is not enough, and you +should increase shared memory size either with `--ipc=host` or `--shm-size` command line options to `nvidia-docker run`. + +#### Building the image yourself + +**NOTE:** Must be built with a docker version > 18.06 + +The `Dockerfile` is supplied to build images with CUDA 11.1 support and cuDNN v8. +You can pass `PYTHON_VERSION=x.y` make variable to specify which Python version is to be used by Miniconda, or leave it +unset to use the default. + +```bash +make -f docker.Makefile +# images are tagged as docker.io/${your_docker_username}/pytorch +``` + +You can also pass the `CMAKE_VARS="..."` environment variable to specify additional CMake variables to be passed to CMake during the build. +See [setup.py](./setup.py) for the list of available variables. + +```bash +CMAKE_VARS="BUILD_CAFFE2=ON BUILD_CAFFE2_OPS=ON" make -f docker.Makefile +``` + +### Building the Documentation + +To build documentation in various formats, you will need [Sphinx](http://www.sphinx-doc.org) and the +readthedocs theme. + +```bash +cd docs/ +pip install -r requirements.txt +``` +You can then build the documentation by running `make ` from the +`docs/` folder. Run `make` to get a list of all available output formats. + +If you get a katex error run `npm install katex`. If it persists, try +`npm install -g katex` + +> Note: if you installed `nodejs` with a different package manager (e.g., +`conda`) then `npm` will probably install a version of `katex` that is not +compatible with your version of `nodejs` and doc builds will fail. +A combination of versions that is known to work is `node@6.13.1` and +`katex@0.13.18`. To install the latter with `npm` you can run +```npm install -g katex@0.13.18``` + +### Previous Versions + +Installation instructions and binaries for previous PyTorch versions may be found +on [our website](https://pytorch.org/previous-versions). + + +## Getting Started + +Three-pointers to get you started: +- [Tutorials: get you started with understanding and using PyTorch](https://pytorch.org/tutorials/) +- [Examples: easy to understand PyTorch code across all domains](https://github.com/pytorch/examples) +- [The API Reference](https://pytorch.org/docs/) +- [Glossary](https://github.com/pytorch/pytorch/blob/main/GLOSSARY.md) + +## Resources + +* [PyTorch.org](https://pytorch.org/) +* [PyTorch Tutorials](https://pytorch.org/tutorials/) +* [PyTorch Examples](https://github.com/pytorch/examples) +* [PyTorch Models](https://pytorch.org/hub/) +* [Intro to Deep Learning with PyTorch from Udacity](https://www.udacity.com/course/deep-learning-pytorch--ud188) +* [Intro to Machine Learning with PyTorch from Udacity](https://www.udacity.com/course/intro-to-machine-learning-nanodegree--nd229) +* [Deep Neural Networks with PyTorch from Coursera](https://www.coursera.org/learn/deep-neural-networks-with-pytorch) +* [PyTorch Twitter](https://twitter.com/PyTorch) +* [PyTorch Blog](https://pytorch.org/blog/) +* [PyTorch YouTube](https://www.youtube.com/channel/UCWXI5YeOsh03QvJ59PMaXFw) + +## Communication +* Forums: Discuss implementations, research, etc. https://discuss.pytorch.org +* GitHub Issues: Bug reports, feature requests, install issues, RFCs, thoughts, etc. +* Slack: The [PyTorch Slack](https://pytorch.slack.com/) hosts a primary audience of moderate to experienced PyTorch users and developers for general chat, online discussions, collaboration, etc. If you are a beginner looking for help, the primary medium is [PyTorch Forums](https://discuss.pytorch.org). If you need a slack invite, please fill this form: https://goo.gl/forms/PP1AGvNHpSaJP8to1 +* Newsletter: No-noise, a one-way email newsletter with important announcements about PyTorch. You can sign-up here: https://eepurl.com/cbG0rv +* Facebook Page: Important announcements about PyTorch. https://www.facebook.com/pytorch +* For brand guidelines, please visit our website at [pytorch.org](https://pytorch.org/) + +## Releases and Contributing + +Typically, PyTorch has three minor releases a year. Please let us know if you encounter a bug by [filing an issue](https://github.com/pytorch/pytorch/issues). + +We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. + +If you plan to contribute new features, utility functions, or extensions to the core, please first open an issue and discuss the feature with us. +Sending a PR without discussion might end up resulting in a rejected PR because we might be taking the core in a different direction than you might be aware of. + +To learn more about making a contribution to Pytorch, please see our [Contribution page](CONTRIBUTING.md). For more information about PyTorch releases, see [Release page](RELEASE.md). + +## The Team + +PyTorch is a community-driven project with several skillful engineers and researchers contributing to it. + +PyTorch is currently maintained by [Soumith Chintala](http://soumith.ch), [Gregory Chanan](https://github.com/gchanan), [Dmytro Dzhulgakov](https://github.com/dzhulgakov), [Edward Yang](https://github.com/ezyang), and [Nikita Shulga](https://github.com/malfet) with major contributions coming from hundreds of talented individuals in various forms and means. +A non-exhaustive but growing list needs to mention: Trevor Killeen, Sasank Chilamkurthy, Sergey Zagoruyko, Adam Lerer, Francisco Massa, Alykhan Tejani, Luca Antiga, Alban Desmaison, Andreas Koepf, James Bradbury, Zeming Lin, Yuandong Tian, Guillaume Lample, Marat Dukhan, Natalia Gimelshein, Christian Sarofeen, Martin Raison, Edward Yang, Zachary Devito. + +Note: This project is unrelated to [hughperkins/pytorch](https://github.com/hughperkins/pytorch) with the same name. Hugh is a valuable contributor to the Torch community and has helped with many things Torch and PyTorch. + +## License + +PyTorch has a BSD-style license, as found in the [LICENSE](LICENSE) file. + + diff --git a/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/NOTICE b/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/NOTICE new file mode 100644 index 0000000000000000000000000000000000000000..6effb8b5d70709f90835f2f5d646352fd77b6943 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/NOTICE @@ -0,0 +1,456 @@ +======================================================================= +Software under third_party +======================================================================= +Software libraries under third_party are provided as github submodule +links, and their content is not part of the Caffe2 codebase. Their +licences can be found under the respective software repositories. + +======================================================================= +Earlier BSD License +======================================================================= +Early development of Caffe2 in 2015 and early 2016 is licensed under the +BSD license. The license is attached below: + +All contributions by Facebook: +Copyright (c) 2016 Facebook Inc. + +All contributions by Google: +Copyright (c) 2015 Google Inc. +All rights reserved. + +All contributions by Yangqing Jia: +Copyright (c) 2015 Yangqing Jia +All rights reserved. + +All contributions by Kakao Brain: +Copyright 2019-2020 Kakao Brain + +All other contributions: +Copyright(c) 2015, 2016 the respective contributors +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +1. Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. +2. Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND +ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR +ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES +(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; +LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND +ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + + +======================================================================= +Caffe's BSD License +======================================================================= +Some parts of the caffe2 code is derived from the original Caffe code, which is +created by Yangqing Jia and is now a BSD-licensed open-source project. The Caffe +license is as follows: + +COPYRIGHT + +All contributions by the University of California: +Copyright (c) 2014, The Regents of the University of California (Regents) +All rights reserved. + +All other contributions: +Copyright (c) 2014, the respective contributors +All rights reserved. + +Caffe uses a shared copyright model: each contributor holds copyright over +their contributions to Caffe. The project versioning records all such +contribution and copyright details. If a contributor wants to further mark +their specific copyright on a particular contribution, they should indicate +their copyright solely in the commit message of the change when it is +committed. + +LICENSE + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +1. Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. +2. Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND +ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR +ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES +(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; +LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND +ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + +CONTRIBUTION AGREEMENT + +By contributing to the BVLC/caffe repository through pull-request, comment, +or otherwise, the contributor releases their content to the +license and copyright terms herein. + +======================================================================= +Caffe2's Apache License +======================================================================= + +This repo contains Caffe2 code, which was previously licensed under +Apache License Version 2.0: + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. For the purposes of this definition, + "control" means (i) the power, direct or indirect, to cause the + direction or management of such entity, whether by contract or + otherwise, or (ii) ownership of fifty percent (50%) or more of the + outstanding shares, or (iii) beneficial ownership of such entity. + + "You" (or "Your") shall mean an individual or Legal Entity + exercising permissions granted by this License. + + "Source" form shall mean the preferred form for making modifications, + including but not limited to software source code, documentation + source, and configuration files. + + "Object" form shall mean any form resulting from mechanical + transformation or translation of a Source form, including but + not limited to compiled object code, generated documentation, + and conversions to other media types. + + "Work" shall mean the work of authorship, whether in Source or + Object form, made available under the License, as indicated by a + copyright notice that is included in or attached to the work + (an example is provided in the Appendix below). + + "Derivative Works" shall mean any work, whether in Source or Object + form, that is based on (or derived from) the Work and for which the + editorial revisions, annotations, elaborations, or other modifications + represent, as a whole, an original work of authorship. For the purposes + of this License, Derivative Works shall not include works that remain + separable from, or merely link (or bind by name) to the interfaces of, + the Work and Derivative Works thereof. + + "Contribution" shall mean any work of authorship, including + the original version of the Work and any modifications or additions + to that Work or Derivative Works thereof, that is intentionally + submitted to Licensor for inclusion in the Work by the copyright owner + or by an individual or Legal Entity authorized to submit on behalf of + the copyright owner. For the purposes of this definition, "submitted" + means any form of electronic, verbal, or written communication sent + to the Licensor or its representatives, including but not limited to + communication on electronic mailing lists, source code control systems, + and issue tracking systems that are managed by, or on behalf of, the + Licensor for the purpose of discussing and improving the Work, but + excluding communication that is conspicuously marked or otherwise + designated in writing by the copyright owner as "Not a Contribution." + + "Contributor" shall mean Licensor and any individual or Legal Entity + on behalf of whom a Contribution has been received by Licensor and + subsequently incorporated within the Work. + + 2. Grant of Copyright License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + copyright license to reproduce, prepare Derivative Works of, + publicly display, publicly perform, sublicense, and distribute the + Work and such Derivative Works in Source or Object form. + + 3. Grant of Patent License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + (except as stated in this section) patent license to make, have made, + use, offer to sell, sell, import, and otherwise transfer the Work, + where such license applies only to those patent claims licensable + by such Contributor that are necessarily infringed by their + Contribution(s) alone or by combination of their Contribution(s) + with the Work to which such Contribution(s) was submitted. If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. You may reproduce and distribute copies of the + Work or Derivative Works thereof in any medium, with or without + modifications, and in Source or Object form, provided that You + meet the following conditions: + + (a) You must give any other recipients of the Work or + Derivative Works a copy of this License; and + + (b) You must cause any modified files to carry prominent notices + stating that You changed the files; and + + (c) You must retain, in the Source form of any Derivative Works + that You distribute, all copyright, patent, trademark, and + attribution notices from the Source form of the Work, + excluding those notices that do not pertain to any part of + the Derivative Works; and + + (d) If the Work includes a "NOTICE" text file as part of its + distribution, then any Derivative Works that You distribute must + include a readable copy of the attribution notices contained + within such NOTICE file, excluding those notices that do not + pertain to any part of the Derivative Works, in at least one + of the following places: within a NOTICE text file distributed + as part of the Derivative Works; within the Source form or + documentation, if provided along with the Derivative Works; or, + within a display generated by the Derivative Works, if and + wherever such third-party notices normally appear. The contents + of the NOTICE file are for informational purposes only and + do not modify the License. You may add Your own attribution + notices within Derivative Works that You distribute, alongside + or as an addendum to the NOTICE text from the Work, provided + that such additional attribution notices cannot be construed + as modifying the License. + + You may add Your own copyright statement to Your modifications and + may provide additional or different license terms and conditions + for use, reproduction, or distribution of Your modifications, or + for any such Derivative Works as a whole, provided Your use, + reproduction, and distribution of the Work otherwise complies with + the conditions stated in this License. + + 5. Submission of Contributions. Unless You explicitly state otherwise, + any Contribution intentionally submitted for inclusion in the Work + by You to the Licensor shall be under the terms and conditions of + this License, without any additional terms or conditions. + Notwithstanding the above, nothing herein shall supersede or modify + the terms of any separate license agreement you may have executed + with Licensor regarding such Contributions. + + 6. Trademarks. This License does not grant permission to use the trade + names, trademarks, service marks, or product names of the Licensor, + except as required for reasonable and customary use in describing the + origin of the Work and reproducing the content of the NOTICE file. + + 7. Disclaimer of Warranty. Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + +======================================================================= +Cephes's 3-Clause BSD License +======================================================================= + +Code derived from implementations in the Cephes Math Library should mention +its derivation and reference the following license: + + 3-Clause BSD License for the Cephes Math Library + Copyright (c) 2018, Steven Moshier + All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are met: + + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + + * Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + + * Neither the name of the nor the + names of its contributors may be used to endorse or promote products + derived from this software without specific prior written permission. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND + ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED + WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE + DISCLAIMED. IN NO EVENT SHALL Steven Moshier BE LIABLE FOR ANY + DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES + (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; + LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND + ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT + (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS + SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + + +======================================================================= +SciPy's 3-Clause BSD License +======================================================================= + +Code derived from implementations in SciPy should mention its derivation +and reference the following license: + + Copyright (c) 2001-2002 Enthought, Inc. 2003-2019, SciPy Developers. + All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions + are met: + + 1. Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + + 2. Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimer in the documentation and/or other materials provided + with the distribution. + + 3. Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived + from this software without specific prior written permission. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS + "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT + LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR + A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT + OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, + SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT + LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, + DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY + THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT + (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE + OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + +======================================================================= +Boost's 1.0 Software License +======================================================================= + +Code derived from implementations in Boost 1.0 should mention its +derivation and reference the following license: + + Boost Software License - Version 1.0 - August 17th, 2003 + + Permission is hereby granted, free of charge, to any person or organization + obtaining a copy of the software and accompanying documentation covered by + this license (the "Software") to use, reproduce, display, distribute, + execute, and transmit the Software, and to prepare derivative works of the + Software, and to permit third-parties to whom the Software is furnished to + do so, all subject to the following: + + The copyright notices in the Software and this entire statement, including + the above license grant, this restriction and the following disclaimer, + must be included in all copies of the Software, in whole or in part, and + all derivative works of the Software, unless such copies or derivative + works are solely in the form of machine-executable object code generated by + a source language processor. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. IN NO EVENT + SHALL THE COPYRIGHT HOLDERS OR ANYONE DISTRIBUTING THE SOFTWARE BE LIABLE + FOR ANY DAMAGES OR OTHER LIABILITY, WHETHER IN CONTRACT, TORT OR OTHERWISE, + ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER + DEALINGS IN THE SOFTWARE. + + END OF TERMS AND CONDITIONS + + APPENDIX: How to apply the Apache License to your work. + + To apply the Apache License to your work, attach the following + boilerplate notice, with the fields enclosed by brackets "[]" + replaced with your own identifying information. (Don't include + the brackets!) The text should be enclosed in the appropriate + comment syntax for the file format. We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. + +======================================================================= +PILLOW-SIMD Software License +======================================================================= + +Code derived from implementations in PILLOW-SIMD should mention its derivation +and reference the following license: + + The Python Imaging Library (PIL) is + + Copyright © 1997-2011 by Secret Labs AB + Copyright © 1995-2011 by Fredrik Lundh + + Pillow is the friendly PIL fork. It is + + Copyright © 2010-2022 by Alex Clark and contributors + + Like PIL, Pillow is licensed under the open source HPND License: + + By obtaining, using, and/or copying this software and/or its associated + documentation, you agree that you have read, understood, and will comply + with the following terms and conditions: + + Permission to use, copy, modify, and distribute this software and its + associated documentation for any purpose and without fee is hereby granted, + provided that the above copyright notice appears in all copies, and that + both that copyright notice and this permission notice appear in supporting + documentation, and that the name of Secret Labs AB or the author not be + used in advertising or publicity pertaining to distribution of the software + without specific, written prior permission. + + SECRET LABS AB AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS + SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. + IN NO EVENT SHALL SECRET LABS AB OR THE AUTHOR BE LIABLE FOR ANY SPECIAL, + INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM + LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE + OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR + PERFORMANCE OF THIS SOFTWARE. diff --git a/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/RECORD b/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..07965a3df8aec11a95ae1e473a2d818ca48238b6 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/RECORD @@ -0,0 +1,12077 @@ +../../../bin/convert-caffe2-to-onnx,sha256=QRFWDXryAMbiR82iL0P2VqX9iJW1gErmU8g1_C_zexc,278 +../../../bin/convert-onnx-to-caffe2,sha256=EqPH-1zxufa-a9JfaXd8i-TtGhqx7VrddzpbRj_e0os,278 +../../../bin/torchrun,sha256=n6XP3edvTwt2ICap_T9pqk6Ldn_Dns6gWi7EAZ6IyEw,246 +functorch/_C.cpython-310-x86_64-linux-gnu.so,sha256=Tk87MxOFSz0plTIJWhzWRwzyr5eVUm0AtBKr3I_dbv0,319920 +functorch/__init__.py,sha256=Y28_YMDp8flLTOzgZaAImTOaN6W_7PYCFOwpiqksjcI,1036 +functorch/__pycache__/__init__.cpython-310.pyc,, +functorch/_src/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +functorch/_src/__pycache__/__init__.cpython-310.pyc,, +functorch/_src/aot_autograd/__init__.py,sha256=SGo7gh6XGYcOxTGf5g-R8Y9AF95ICcJbQwQD6rFyrpQ,291 +functorch/_src/aot_autograd/__pycache__/__init__.cpython-310.pyc,, +functorch/_src/eager_transforms/__init__.py,sha256=kX_52fDvSX9YX9OAwo5bjvJtrxyjEBUJ1PueW8xgsuw,291 +functorch/_src/eager_transforms/__pycache__/__init__.cpython-310.pyc,, +functorch/_src/make_functional/__init__.py,sha256=b3y8s3KhtCqFB8lM4Pi48AwuztUt7NBK-VISZNJYYjw,235 +functorch/_src/make_functional/__pycache__/__init__.cpython-310.pyc,, +functorch/_src/vmap/__init__.py,sha256=k8r2Esz6tB5D7U_UA0_BCDaWoOmn8JNVrRqK7nG7_fM,467 +functorch/_src/vmap/__pycache__/__init__.cpython-310.pyc,, +functorch/compile/__init__.py,sha256=nGc0FPG2_i1LomWKoONviGJejMB3L--dTiu7-MoxQEA,778 +functorch/compile/__pycache__/__init__.cpython-310.pyc,, +functorch/dim/__init__.py,sha256=EounbAsLy6VApZ_OXr9f_rVlFd6azNzQgcZ6JPEznE4,4719 +functorch/dim/__pycache__/__init__.cpython-310.pyc,, +functorch/dim/__pycache__/batch_tensor.cpython-310.pyc,, +functorch/dim/__pycache__/delayed_mul_tensor.cpython-310.pyc,, +functorch/dim/__pycache__/dim.cpython-310.pyc,, +functorch/dim/__pycache__/magic_trace.cpython-310.pyc,, +functorch/dim/__pycache__/op_properties.cpython-310.pyc,, +functorch/dim/__pycache__/reference.cpython-310.pyc,, +functorch/dim/__pycache__/tree_map.cpython-310.pyc,, +functorch/dim/__pycache__/wrap_type.cpython-310.pyc,, +functorch/dim/batch_tensor.py,sha256=Ez0WuVYen87Uwr-lNvvNS4DE4KyNePoT_iVHNqxCXcE,667 +functorch/dim/delayed_mul_tensor.py,sha256=B9pt_vOxrKeISz-MY6_qZBhnNKtrixs4GtUA792b7G0,2441 +functorch/dim/dim.py,sha256=VIKscgzJewi45R6hRx0Ps4fpc64UYCiSXnqINCkq1Ts,3174 +functorch/dim/magic_trace.py,sha256=oUxIOV2TPg0eIStZDoGt03_l_T2vFxGohnhBtL6SB-w,1329 +functorch/dim/op_properties.py,sha256=zIKVxfJK70djF5u4A7yirbaP0w2vJdLECTPOgzG5n8Q,6686 +functorch/dim/reference.py,sha256=SaNgypBsdu09JlmqGwNbe5e-UWJxFwiPGTydOalfdRs,20320 +functorch/dim/tree_map.py,sha256=Rd_ECsBGK7Ln-DdD7xzKCE-WynJZXxd3Dno_Vk_mKo0,374 +functorch/dim/wrap_type.py,sha256=7PZ4HSK3TBXYoMOCHhdkip_o3ej23m4ihc3-eYPZMQE,1870 +functorch/einops/__init__.py,sha256=CW4zh8RmbocIdau3cQHmm4_hscNvSz1eEddiciLeI6A,58 +functorch/einops/__pycache__/__init__.cpython-310.pyc,, +functorch/einops/__pycache__/_parsing.cpython-310.pyc,, +functorch/einops/__pycache__/rearrange.cpython-310.pyc,, +functorch/einops/_parsing.py,sha256=0K3ysuPKKZnWbfe5RppFUxF59b0bC-gyA3lkjmYAO1A,12256 +functorch/einops/rearrange.py,sha256=sozTSLCV5Bwinl4pTLq7pEEY5TExknBo1dMwRIi10lY,8040 +functorch/experimental/__init__.py,sha256=vUxiLGMHBcb_WdL975-kDwVotERGu_HaRWp4CtEeYdk,274 +functorch/experimental/__pycache__/__init__.cpython-310.pyc,, +functorch/experimental/__pycache__/control_flow.cpython-310.pyc,, +functorch/experimental/__pycache__/ops.cpython-310.pyc,, +functorch/experimental/control_flow.py,sha256=9mr45aFARZRgUcGv7E5NWXARQRp313rUvUdhu0Lw3zg,234 +functorch/experimental/ops.py,sha256=kDGcckdoYwOg9fS4JqvZnsIt8Ss9O6RGeasJSyi0OUY,57 +torch-2.2.2.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 +torch-2.2.2.dist-info/LICENSE,sha256=RMn6hkR1QTRRF5ENrN_VqidyalANhxGiWsMGWTz2G1M,351501 +torch-2.2.2.dist-info/METADATA,sha256=Ry2Zx5Av4zjmATt11T-FCJ8APBxLNVj3hJJUbV3I4vg,26000 +torch-2.2.2.dist-info/NOTICE,sha256=wsx78MrsdlLCtGCopHC-oWd_JB5KuOQx3zTPF_Wp_sA,23632 +torch-2.2.2.dist-info/RECORD,, +torch-2.2.2.dist-info/WHEEL,sha256=oPTolxX39D9SX81DhGjP9ncZ9PHcmhO1jInNxQx689I,105 +torch-2.2.2.dist-info/entry_points.txt,sha256=nuIkePNfAyJqM4TueRSk_btsdRPg9dExy7UMk1LsiKQ,205 +torch-2.2.2.dist-info/top_level.txt,sha256=MsBcfJyMU15lW1efu5w7Tzd4MenrYHiuaixbHMfAoco,25 +torch/_C.cpython-310-x86_64-linux-gnu.so,sha256=HF4NajEqWdwshYfqx5_6Pu3MQW550baIy68v_wInhHI,37857 +torch/_C/_VariableFunctions.pyi,sha256=2D-e--YkSNgxEeI6WRn01vMKuhKSekNNl89UfoGsQZA,188823 +torch/_C/__init__.pyi,sha256=lvYnz9JpElZ62zUeR8ZYc49GG3bL8LQN4DB5fMyC27g,149753 +torch/_C/_autograd.pyi,sha256=QWkPDwleJDoJCDdqKT2tTjC64ImkAY6PogE88EQBzBc,4116 +torch/_C/_cpu.pyi,sha256=YnxQHlk_hFTuke_1WlJZxwep_RYgzq2hvyl4aH2gYQM,112 +torch/_C/_cudnn.pyi,sha256=FwKVMtP_qbhryc7MBN6zm3XIJoLMk8pWqvvQKJSx3O4,370 +torch/_C/_distributed_autograd.pyi,sha256=q0F_4D0Euc7Pv6668CnlBoirjX-Dq6OENeq5FCq3azA,908 +torch/_C/_distributed_c10d.pyi,sha256=QTDWPtanLpPwZ2dP1oPKtivxC1VGd9f8SV7LL-7Cfro,12293 +torch/_C/_distributed_rpc.pyi,sha256=P5bPlH2aKefOxLGB0as2BOGM0ByYm8-EWAWHCtVhjoM,6035 +torch/_C/_distributed_rpc_testing.pyi,sha256=Q8BsOlBlOHHASL8tPLHaXjQFR1S4-_NcCNvrLBQr2GE,1017 +torch/_C/_functions.pyi,sha256=vWT20CisChXAtpHwWwVR4uf4IpqEe01eDBVEnYMll2M,330 +torch/_C/_functorch.pyi,sha256=gx4ojyK3iCcfTL3mzOgJjOzPxbuEPEYY_Ll9xLtXM6U,2643 +torch/_C/_itt.pyi,sha256=6fhhHGYgreXbGka-VtqX9FjjPaSznfOmDHPVC171DII,169 +torch/_C/_lazy.pyi,sha256=72HGDtJgNrdFelZN2ME1jAwlz78JmXy82KdDwSfUVhg,969 +torch/_C/_lazy_ts_backend.pyi,sha256=F2K8cpm-lan0FTL4bSZ28hXnGaeJguppGAIYMR4Sw9w,312 +torch/_C/_monitor.pyi,sha256=dZKJHgFroqeP9D_F1dGTJ19gSW-94zfIJTmDLeFp5_k,1053 +torch/_C/_nn.pyi,sha256=kOtWRpuYLO3qvAEVKv3vXks2UoDVDBmFJITOOE1B5-U,4126 +torch/_C/_nvtx.pyi,sha256=v1D4bcM8nV28xx0_itTEoUfvOaAHYIfBrgMriuH5fzI,223 +torch/_C/_onnx.pyi,sha256=mZflOLjXe06MBxJoj8y2QhxztFww0KWZPUReBYhib7k,688 +torch/_C/_profiler.pyi,sha256=JjB-70DAY8XwZq1CTmugFkWf4VeZHYO7MeHz7IUc-Ns,6176 +torch/_C/_verbose.pyi,sha256=vMdQYMqABMqBFxYykp8_VD0QBaubolczBmCEv-UcA00,134 +torch/_VF.py,sha256=6gWebiEvyG5GFiNTcMuigU7UAPEesYJmWKQTL_1GTrM,643 +torch/_VF.pyi,sha256=2D-e--YkSNgxEeI6WRn01vMKuhKSekNNl89UfoGsQZA,188823 +torch/__config__.py,sha256=kv8yDflHiu3B2rxjOe48upLeB2VXnTxdXKeAYcxnJ5c,553 +torch/__future__.py,sha256=eHbhLfu-aQPQkd_PwyjsxCRHQ-pC9aJsVKJPUT6aVW8,815 +torch/__init__.py,sha256=_oJcmb-RYnzEOKsZZ-QT9O_vhZneg1-3GvkmwVsHoiM,78481 +torch/__pycache__/_VF.cpython-310.pyc,, +torch/__pycache__/__config__.cpython-310.pyc,, +torch/__pycache__/__future__.cpython-310.pyc,, +torch/__pycache__/__init__.cpython-310.pyc,, +torch/__pycache__/_appdirs.cpython-310.pyc,, +torch/__pycache__/_classes.cpython-310.pyc,, +torch/__pycache__/_compile.cpython-310.pyc,, +torch/__pycache__/_custom_ops.cpython-310.pyc,, +torch/__pycache__/_deploy.cpython-310.pyc,, +torch/__pycache__/_guards.cpython-310.pyc,, +torch/__pycache__/_jit_internal.cpython-310.pyc,, +torch/__pycache__/_linalg_utils.cpython-310.pyc,, +torch/__pycache__/_lobpcg.cpython-310.pyc,, +torch/__pycache__/_lowrank.cpython-310.pyc,, +torch/__pycache__/_meta_registrations.cpython-310.pyc,, +torch/__pycache__/_namedtensor_internals.cpython-310.pyc,, +torch/__pycache__/_ops.cpython-310.pyc,, +torch/__pycache__/_python_dispatcher.cpython-310.pyc,, +torch/__pycache__/_sources.cpython-310.pyc,, +torch/__pycache__/_storage_docs.cpython-310.pyc,, +torch/__pycache__/_streambase.cpython-310.pyc,, +torch/__pycache__/_tensor.cpython-310.pyc,, +torch/__pycache__/_tensor_docs.cpython-310.pyc,, +torch/__pycache__/_tensor_str.cpython-310.pyc,, +torch/__pycache__/_torch_docs.cpython-310.pyc,, +torch/__pycache__/_utils.cpython-310.pyc,, +torch/__pycache__/_utils_internal.cpython-310.pyc,, +torch/__pycache__/_vmap_internals.cpython-310.pyc,, +torch/__pycache__/_weights_only_unpickler.cpython-310.pyc,, +torch/__pycache__/functional.cpython-310.pyc,, +torch/__pycache__/hub.cpython-310.pyc,, +torch/__pycache__/library.cpython-310.pyc,, +torch/__pycache__/overrides.cpython-310.pyc,, +torch/__pycache__/quasirandom.cpython-310.pyc,, +torch/__pycache__/random.cpython-310.pyc,, +torch/__pycache__/return_types.cpython-310.pyc,, +torch/__pycache__/serialization.cpython-310.pyc,, +torch/__pycache__/storage.cpython-310.pyc,, +torch/__pycache__/torch_version.cpython-310.pyc,, +torch/__pycache__/types.cpython-310.pyc,, +torch/__pycache__/version.cpython-310.pyc,, +torch/_appdirs.py,sha256=GjuBh72l3BhGE4vJSdqGj-8QHjGbkhuMYaOLchLcqOQ,26167 +torch/_awaits/__init__.py,sha256=ghtTYluOc1VWTFv0gs2t9EBjhKx6v3V5TMkAedKooSo,1683 +torch/_awaits/__pycache__/__init__.cpython-310.pyc,, +torch/_classes.py,sha256=zez2IGbpzN3f1P7Tg8s-fg3pz_ATN6hAVTxKsSqtV9o,1686 +torch/_compile.py,sha256=a2g6zXCXwnirEFu-VSiSzRfk23_-E0MgVbodLOHfjr0,1001 +torch/_custom_op/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/_custom_op/__pycache__/__init__.cpython-310.pyc,, +torch/_custom_op/__pycache__/autograd.cpython-310.pyc,, +torch/_custom_op/__pycache__/functional.cpython-310.pyc,, +torch/_custom_op/__pycache__/impl.cpython-310.pyc,, +torch/_custom_op/autograd.py,sha256=OjkfNxlNwxRRAbRSFG9fG89yEVHOZMOYR8gULX01rNI,11791 +torch/_custom_op/functional.py,sha256=Oo4M7_cZvMW4p3lrzwQVXcgXqhm92pmQnnb873Bl5hc,7925 +torch/_custom_op/impl.py,sha256=2SIiE6Z7W2llZTWOt0duspK4n7SJA5kTsFqhOaPaEwE,39794 +torch/_custom_ops.py,sha256=Gelu9VakzzmHLN1vg4aN1pP9OYpFzn2z3UbfWRkuUCg,12783 +torch/_decomp/__init__.py,sha256=3f3Ok2mMCx-2czp1ItqRJINnhnugQE3f1lsHgqM_fB8,15505 +torch/_decomp/__pycache__/__init__.cpython-310.pyc,, +torch/_decomp/__pycache__/decompositions.cpython-310.pyc,, +torch/_decomp/__pycache__/decompositions_for_jvp.cpython-310.pyc,, +torch/_decomp/__pycache__/decompositions_for_rng.cpython-310.pyc,, +torch/_decomp/decompositions.py,sha256=jieLiMjtieVz1jn3nZ8vRrRR7U7SmNE8JVusa1huXOk,150500 +torch/_decomp/decompositions_for_jvp.py,sha256=_N6-Rw1qcxS3Hfi7Xb-nR8cf2rsoHfo59fjvQ3bgmTQ,10829 +torch/_decomp/decompositions_for_rng.py,sha256=kb3KaDcF5VPfhWME1YzCW86zMbFWuNg6oOeEzeCViIg,9115 +torch/_deploy.py,sha256=bqEwxI4c-k2GVhGv7RqtbYzdC1rAGVz_1Cv7XNrv2NU,3504 +torch/_dispatch/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/_dispatch/__pycache__/__init__.cpython-310.pyc,, +torch/_dispatch/__pycache__/python.cpython-310.pyc,, +torch/_dispatch/python.py,sha256=MnGwjS68xL5ErBwASeu6Pr4ZpHQgwjqXGnur63b8Ygc,6345 +torch/_dynamo/__init__.py,sha256=9D5izVrq1j6Y6StICYGQCZRSUZeK40uaTGO0pK9_49s,2272 +torch/_dynamo/__pycache__/__init__.cpython-310.pyc,, +torch/_dynamo/__pycache__/_trace_wrapped_higher_order_op.cpython-310.pyc,, +torch/_dynamo/__pycache__/allowed_functions.cpython-310.pyc,, +torch/_dynamo/__pycache__/bytecode_analysis.cpython-310.pyc,, +torch/_dynamo/__pycache__/bytecode_transformation.cpython-310.pyc,, +torch/_dynamo/__pycache__/cache_size.cpython-310.pyc,, +torch/_dynamo/__pycache__/code_context.cpython-310.pyc,, +torch/_dynamo/__pycache__/codegen.cpython-310.pyc,, +torch/_dynamo/__pycache__/compiled_autograd.cpython-310.pyc,, +torch/_dynamo/__pycache__/comptime.cpython-310.pyc,, +torch/_dynamo/__pycache__/config.cpython-310.pyc,, +torch/_dynamo/__pycache__/convert_frame.cpython-310.pyc,, +torch/_dynamo/__pycache__/current_scope_id.cpython-310.pyc,, +torch/_dynamo/__pycache__/debug_utils.cpython-310.pyc,, +torch/_dynamo/__pycache__/decorators.cpython-310.pyc,, +torch/_dynamo/__pycache__/device_interface.cpython-310.pyc,, +torch/_dynamo/__pycache__/eval_frame.cpython-310.pyc,, +torch/_dynamo/__pycache__/exc.cpython-310.pyc,, +torch/_dynamo/__pycache__/external_utils.cpython-310.pyc,, +torch/_dynamo/__pycache__/funcname_cache.cpython-310.pyc,, +torch/_dynamo/__pycache__/guards.cpython-310.pyc,, +torch/_dynamo/__pycache__/hooks.cpython-310.pyc,, +torch/_dynamo/__pycache__/logging.cpython-310.pyc,, +torch/_dynamo/__pycache__/mutation_guard.cpython-310.pyc,, +torch/_dynamo/__pycache__/output_graph.cpython-310.pyc,, +torch/_dynamo/__pycache__/polyfill.cpython-310.pyc,, +torch/_dynamo/__pycache__/profiler.cpython-310.pyc,, +torch/_dynamo/__pycache__/replay_record.cpython-310.pyc,, +torch/_dynamo/__pycache__/resume_execution.cpython-310.pyc,, +torch/_dynamo/__pycache__/side_effects.cpython-310.pyc,, +torch/_dynamo/__pycache__/skipfiles.cpython-310.pyc,, +torch/_dynamo/__pycache__/source.cpython-310.pyc,, +torch/_dynamo/__pycache__/symbolic_convert.cpython-310.pyc,, +torch/_dynamo/__pycache__/test_case.cpython-310.pyc,, +torch/_dynamo/__pycache__/test_minifier_common.cpython-310.pyc,, +torch/_dynamo/__pycache__/testing.cpython-310.pyc,, +torch/_dynamo/__pycache__/trace_rules.cpython-310.pyc,, +torch/_dynamo/__pycache__/types.cpython-310.pyc,, +torch/_dynamo/__pycache__/utils.cpython-310.pyc,, +torch/_dynamo/_trace_wrapped_higher_order_op.py,sha256=NtLA3nHSHOL1Ghs0dUb3WOaw1LT-Ks7rXbOusldpvv0,4679 +torch/_dynamo/allowed_functions.py,sha256=KhPAQ3FIV5BqXHaJptqpEP5cd5Szv07F_w6ZSkwZPeo,18208 +torch/_dynamo/backends/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/_dynamo/backends/__pycache__/__init__.cpython-310.pyc,, +torch/_dynamo/backends/__pycache__/common.cpython-310.pyc,, +torch/_dynamo/backends/__pycache__/cudagraphs.cpython-310.pyc,, +torch/_dynamo/backends/__pycache__/debugging.cpython-310.pyc,, +torch/_dynamo/backends/__pycache__/distributed.cpython-310.pyc,, +torch/_dynamo/backends/__pycache__/inductor.cpython-310.pyc,, +torch/_dynamo/backends/__pycache__/onnxrt.cpython-310.pyc,, +torch/_dynamo/backends/__pycache__/registry.cpython-310.pyc,, +torch/_dynamo/backends/__pycache__/tensorrt.cpython-310.pyc,, +torch/_dynamo/backends/__pycache__/torchxla.cpython-310.pyc,, +torch/_dynamo/backends/__pycache__/tvm.cpython-310.pyc,, +torch/_dynamo/backends/common.py,sha256=E-jggTS3m4zuv1Z35HsZgW1Z9W-rUAvOD2ImycHNGts,3342 +torch/_dynamo/backends/cudagraphs.py,sha256=HE5_0MufOz-eEaeHWXa1MauoASkoFIQEmhjt_J0651E,6136 +torch/_dynamo/backends/debugging.py,sha256=N4xcs8hWx-qyQTn8Tlg7HaFGyoDQlidjeEtaivaT5TM,9376 +torch/_dynamo/backends/distributed.py,sha256=J-d7NXf9GsNSL_kayVJMSfTM1rx0QHZdwMwBS7li3-A,22698 +torch/_dynamo/backends/inductor.py,sha256=Ifkk0MeBU7qu773L9RW2mMxtFMUjrKCCMz6oyjRDiqI,404 +torch/_dynamo/backends/onnxrt.py,sha256=XlXNGIs90BAQalHScblBxIQ3BCpp2DsHHuWFqYvwtMA,1548 +torch/_dynamo/backends/registry.py,sha256=jwMmMM_c46-xbg1tU1whAmII51tJJe0o5DrtzfAcjyw,3429 +torch/_dynamo/backends/tensorrt.py,sha256=dxRCaQgNbw8Ly0SgGSOK7At2OANtvCe5mSHpAjvEqYM,383 +torch/_dynamo/backends/torchxla.py,sha256=rJ230hmWlNX222MnSG6RXrieb9Y_ODuzQXyOiBjN_M0,1940 +torch/_dynamo/backends/tvm.py,sha256=zNLNKDa367eVCrq-N8yjkVCA0EjHVuSvgc3HYctmX2k,6360 +torch/_dynamo/bytecode_analysis.py,sha256=icVq7mo1bIMGoeHPBBZQWhqYmAAFfDCC-PGJ07cQR1k,8494 +torch/_dynamo/bytecode_transformation.py,sha256=ZXFoMJwE-cI8tUIsErj_W801TT6ibxWAoeXOOhCylkE,39971 +torch/_dynamo/cache_size.py,sha256=0I9Lzq5iKmE9gfbVF8tOHslQD5eQsR2XyqYHSLvyBFw,7150 +torch/_dynamo/code_context.py,sha256=nJYn7eObIjeMFuWPy05SXFBgcYky7kcPY3RvbDCwjQ8,691 +torch/_dynamo/codegen.py,sha256=opZg3RfnBlgKJOu6bRTMGIwJ1Tq6kpf3H0Co77nBg_k,13835 +torch/_dynamo/compiled_autograd.py,sha256=BJvKa4Icc6GW9qaLxDbaotwCohtk_CqszlTqaMiXVOo,7402 +torch/_dynamo/comptime.py,sha256=l-pM7EixjfGkuBKtwx-U7zTVBcywgYqT0X9BjOAI8os,11227 +torch/_dynamo/config.py,sha256=ZhIVVVQBz4Dp1PjamXpfHiwlMaUnI62b_b00ytRpQlE,14593 +torch/_dynamo/convert_frame.py,sha256=v_rxjc2-dIUq434Uw4zpOHmZpOWDoqYMk5wESjWuAYE,27653 +torch/_dynamo/current_scope_id.py,sha256=MBPMg1Ut9VSJ7GazMZj348skpSyFBdQNEMBNJnYviVc,610 +torch/_dynamo/debug_utils.py,sha256=9yYrjPyVRekdTT2jlT-FVJg9PmYcay-mEZb8TL_iSJ4,23849 +torch/_dynamo/decorators.py,sha256=2eSXM0JA-ltmpEqglqfwzSdJD7bSp4Wr_70pjOVpZzs,9186 +torch/_dynamo/device_interface.py,sha256=ftv4hmCc0g-lv9ppobwlgBtgHbMOujDbI-rWRhMTkjs,6462 +torch/_dynamo/eval_frame.py,sha256=mO_OY24yUFKFCke0jqpf5coK0xwsGmyW77HUqem2E8s,59819 +torch/_dynamo/exc.py,sha256=pN1CGaFsNmFxPiFUksGf_jqJfgg-YWzjKG8U1kCtUSw,10521 +torch/_dynamo/external_utils.py,sha256=Ops5FlWY1Ltzci2KqaVbe7276anPdfK4MM6dNQb45lk,537 +torch/_dynamo/funcname_cache.py,sha256=vqzngOWuppCuV5bx1_0XBaUHSoiVLH16UMVHVoFQ5vY,1750 +torch/_dynamo/guards.py,sha256=RUvyLxBr3nWynAgK1KAFwzjdQVdrKaf1VTLGVRh7ZdU,57283 +torch/_dynamo/hooks.py,sha256=TJ7ASly13VsYGHcbSxHwFyQ7YcN_ZBlztgQNYABlxco,292 +torch/_dynamo/logging.py,sha256=SBg0jetvaSvRjmSZPw02dTpl0mMqjnacImzEE1cmnZ8,1548 +torch/_dynamo/mutation_guard.py,sha256=unKzRyfKVnK6NNCCRTj9m8WNpYw1-_P_75Sv4WcG-1Y,3488 +torch/_dynamo/output_graph.py,sha256=B3UOVp95UzdM3OqsDCzppEcxkT4ZGmxi6utwJlp0QXA,74270 +torch/_dynamo/polyfill.py,sha256=bv1TYC49_sZJDHNBPDth8hU5RirYBtFAKilpQI6PXFY,636 +torch/_dynamo/profiler.py,sha256=cfONnFaXhYMR9oNXaRiSb50xdKPBrWsS4TcDIQIBDnA,4851 +torch/_dynamo/replay_record.py,sha256=lFd7d5QxlPOv2p7MJU8cWQSDO7RWIRjEJ1ETrm-81Bc,3595 +torch/_dynamo/repro/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/_dynamo/repro/__pycache__/__init__.cpython-310.pyc,, +torch/_dynamo/repro/__pycache__/after_aot.cpython-310.pyc,, +torch/_dynamo/repro/__pycache__/after_dynamo.cpython-310.pyc,, +torch/_dynamo/repro/after_aot.py,sha256=tqEwCLAaecMSXHBlJ9zmDaJpY1kIKfyq1aoDl04cskQ,31952 +torch/_dynamo/repro/after_dynamo.py,sha256=i6PVuoYkEtfVCdp62IKM-6UD6kTl4EyIs56G-j3dRV4,18933 +torch/_dynamo/resume_execution.py,sha256=Ca1vqFZv5xmFXZMWRY0cRJCFyJXwtATpdFK3d8rmEqU,24835 +torch/_dynamo/side_effects.py,sha256=sagFPvvHyhlDfkdubizs5F0tWh3cStfFKznN5VtO2JU,21933 +torch/_dynamo/skipfiles.py,sha256=MvgHFEllk7osObVBWe9eLw8FQgGHXgM4dWag1E-sSVM,12964 +torch/_dynamo/source.py,sha256=o5DZgcgpNj_PjXxx_RKpBMmHtdKfPa_YWN8_NRnq_-I,14485 +torch/_dynamo/symbolic_convert.py,sha256=tWmt08rHqA1Em04lQwXIKRc68npKiAPNXtEQfk8ANiM,95146 +torch/_dynamo/test_case.py,sha256=pnkwI418wDJV11iUNgeX5PRYqgmAo8gDQCpsZbIakFI,1808 +torch/_dynamo/test_minifier_common.py,sha256=h9bjvp5716t1aLaDwvyyxM7yFL6cABNxLSc5TZ0VLag,9611 +torch/_dynamo/testing.py,sha256=_Yq_6kwWx7ckhnIkHhl2DCHN8zh72eEIejUQEDre-k4,11006 +torch/_dynamo/trace_rules.py,sha256=UNxvxclGpe8Cmv_hzxsCG5l-gXqkxoGxssFWm7YGDuI,112237 +torch/_dynamo/types.py,sha256=Ne7snQx8x1CFumoK186P1FA7qhg3gnj_2Vyb3gjGJJI,2168 +torch/_dynamo/utils.py,sha256=tKs9nPYnl-Akh61fmPXY50EGfy9rl4Mt-SfQ0KK0HSk,73533 +torch/_dynamo/variables/__init__.py,sha256=mHK658rBhbEnqHzoQ66jr6cXvhw4AeLr3pJkGXggoR4,3276 +torch/_dynamo/variables/__pycache__/__init__.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/base.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/builder.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/builtin.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/constant.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/ctx_manager.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/dicts.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/distributed.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/functions.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/higher_order_ops.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/iter.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/lazy.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/lists.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/misc.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/nn_module.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/optimizer.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/tensor.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/torch.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/torch_function.cpython-310.pyc,, +torch/_dynamo/variables/__pycache__/user_defined.cpython-310.pyc,, +torch/_dynamo/variables/base.py,sha256=CjmSPEhOIRykPE1eY8x2ChU-gDGmxFG_klZcfGYSXVI,12856 +torch/_dynamo/variables/builder.py,sha256=JsXyYfKRrTT91FA7bs_L2eGkPR_LpBO6UAKLtfxmAUY,77094 +torch/_dynamo/variables/builtin.py,sha256=mXXWA3q90uLIM85VIsoJWCoq-Abh9QYWB50d1d5pguc,63991 +torch/_dynamo/variables/constant.py,sha256=Kz9RxGTTRyq63BW3ahs-qfBZVYAEYDIoGyvzj9cBHDY,8149 +torch/_dynamo/variables/ctx_manager.py,sha256=LffVlaBJ2U8kYTsJeR56ZezDzXpfC3ydZ7cDGTrx2hQ,21989 +torch/_dynamo/variables/dicts.py,sha256=oX6tqvNtJmtgXAwJhiuyYIEIIFkzNy00b5e48ImR5oU,30128 +torch/_dynamo/variables/distributed.py,sha256=SvskvQ5Z5d8vsJy2gX81GWto_KilQI9n60-RBDoGLRU,7274 +torch/_dynamo/variables/functions.py,sha256=J3QXMYApmIemJhJy6SvwrHMG_zLk0h557riogEiaMgI,28407 +torch/_dynamo/variables/higher_order_ops.py,sha256=WXQMliOgY9n-vB90m0BqHFnMRPt4vKnUCAgxdCSQQAM,56448 +torch/_dynamo/variables/iter.py,sha256=C6sBnF_9pwtuyiKhdqPS1RH45XEH31zQjXXLoF_sof0,3282 +torch/_dynamo/variables/lazy.py,sha256=ttyJp2SwGw8jRaWN6usFR8ZrRZrP8ZoFlaTDptBh8fg,3259 +torch/_dynamo/variables/lists.py,sha256=PkuFsxnKj4F1YBguw1kkkR4roI7BKQoaIQFf-etOJq8,26824 +torch/_dynamo/variables/misc.py,sha256=ONG4rLEQqDC7CjwWzXfjp-qCXHZLFkciLDm3fXPFXng,42161 +torch/_dynamo/variables/nn_module.py,sha256=5O7Ex8qaN_R5FkHtKafOb26k3h0EMSDvlwDFITNF0go,30898 +torch/_dynamo/variables/optimizer.py,sha256=TuZdO2hffE_qsf0-Od3z23O_xfsd-s56LEvbmywl8DY,8402 +torch/_dynamo/variables/tensor.py,sha256=KeGgvtURZ7raOFgAxTWyHdKkKXYkuubxauZH5v_7lf4,39483 +torch/_dynamo/variables/torch.py,sha256=AR3VDM8VgF6Lq2hsnuHir7XTwFsGw8ELmV_viM7-oKo,32038 +torch/_dynamo/variables/torch_function.py,sha256=uPfYdLOpDecg5iV61WhqHWMynjd0WqHmUPWZtnrYGv8,9110 +torch/_dynamo/variables/user_defined.py,sha256=jrS_iaoDof3kFoR93W2-hJF1CUWho9I4vzKap6lc3_o,26069 +torch/_export/__init__.py,sha256=1hAIk5pKHiusJf2Fx_NX6Zr6L0t2ZlcBLSmA2JRTDRg,45514 +torch/_export/__pycache__/__init__.cpython-310.pyc,, +torch/_export/__pycache__/error.cpython-310.pyc,, +torch/_export/__pycache__/exported_program.cpython-310.pyc,, +torch/_export/__pycache__/pass_base.cpython-310.pyc,, +torch/_export/__pycache__/unflatten.cpython-310.pyc,, +torch/_export/__pycache__/utils.cpython-310.pyc,, +torch/_export/__pycache__/verifier.cpython-310.pyc,, +torch/_export/__pycache__/wrappers.cpython-310.pyc,, +torch/_export/db/__init__.py,sha256=a3XxW1RcNAPwEVaI2g11hpnJvSHxGUFsGmDAWfDnLP8,206 +torch/_export/db/__pycache__/__init__.cpython-310.pyc,, +torch/_export/db/__pycache__/case.cpython-310.pyc,, +torch/_export/db/__pycache__/gen_example.cpython-310.pyc,, +torch/_export/db/__pycache__/logging.cpython-310.pyc,, +torch/_export/db/case.py,sha256=bKMtEgWIWS8GbbSkHzJg_QtES9BxZrdRTVAE95oLZG0,5264 +torch/_export/db/examples/__init__.py,sha256=g3TlBUQ4nEIz57HbW7kgjJXi3jSg730tV-NMtFXOQUw,1264 +torch/_export/db/examples/__pycache__/__init__.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/assume_constant_result.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/autograd_function.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/class_method.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/cond_branch_class_method.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/cond_branch_nested_function.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/cond_branch_nonlocal_variables.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/cond_closed_over_variable.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/cond_operands.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/cond_predicate.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/constrain_as_size_example.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/constrain_as_value_example.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/decorator.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/dictionary.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/dynamic_shape_assert.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/dynamic_shape_constructor.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/dynamic_shape_if_guard.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/dynamic_shape_map.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/dynamic_shape_round.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/dynamic_shape_slicing.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/dynamic_shape_view.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/fn_with_kwargs.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/list_contains.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/list_unpack.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/model_attr_mutation.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/nested_function.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/null_context_manager.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/optional_input.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/pytree_flatten.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/scalar_output.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/specialized_attribute.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/static_for_loop.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/static_if.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/tensor_setattr.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/torch_sym_min.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/type_reflection_method.cpython-310.pyc,, +torch/_export/db/examples/__pycache__/user_input_mutation.cpython-310.pyc,, +torch/_export/db/examples/assume_constant_result.py,sha256=K3oo-N0f6_LoPrbW1vCpZGj2y_Npru5opdASs4ATjPM,573 +torch/_export/db/examples/autograd_function.py,sha256=i_lpenzirq3gHp_TzIJlViXRI1MPy7GWUqjcL9gW9Sg,593 +torch/_export/db/examples/class_method.py,sha256=aojP59KSeyUwpuTqhX1cZL74E1s_B4pyWox6KAceGBQ,509 +torch/_export/db/examples/cond_branch_class_method.py,sha256=Lf-R8ZCYCuiVA3KINLXLTPWem0BHVE808lYZ-5AKe9I,1342 +torch/_export/db/examples/cond_branch_nested_function.py,sha256=CNAUzEqEcx9M7kbhr8HNMBvWPVeB7JK5qECJq3VTUEQ,1246 +torch/_export/db/examples/cond_branch_nonlocal_variables.py,sha256=WPWDDaoxxOJfptL8kjYSPAOLsGc3axqeHMzYBezzvhs,1782 +torch/_export/db/examples/cond_closed_over_variable.py,sha256=yUa4s3a9BiMAvZI4sRo5tg5PwK6Nb2VkRbND5psMCa0,556 +torch/_export/db/examples/cond_operands.py,sha256=R9HYgDgYLj4MNRxCKTMDd2ZlyyH3xWFlMyn6qETLx80,824 +torch/_export/db/examples/cond_predicate.py,sha256=pU_rDlWwSWAzZLPL0hdXOPPjTLyIOt7NYhMoyL66xFU,644 +torch/_export/db/examples/constrain_as_size_example.py,sha256=ho_3jDbOKNg-yYpweZ_-DJG3_Rq0WdWywLx2k5Fnc4U,593 +torch/_export/db/examples/constrain_as_value_example.py,sha256=lbwbpUMPNEQG0uOMqLFC3G_I4VZX7A3l5Bg8T_yCQBo,651 +torch/_export/db/examples/decorator.py,sha256=2oQjjyUFc2ZFwoG_cecf4aZkznw1NggyBVoj1CJtG8A,500 +torch/_export/db/examples/dictionary.py,sha256=3exF2ZE8fUd31o1c-sOxAM2v-A2qy80O_cNILRq4Zao,367 +torch/_export/db/examples/dynamic_shape_assert.py,sha256=W-eaj6_g_dQ7vW1JhaKy4VQsTNQaWsnilme9z_bhVgM,403 +torch/_export/db/examples/dynamic_shape_constructor.py,sha256=KRL0wNdGB4H8tDr4CPpZebXYu1_pPZm_d355N4IBXM4,359 +torch/_export/db/examples/dynamic_shape_if_guard.py,sha256=bLZUfx2sHvMWjnESh31w2UupAmhDjq7UwGPl0oDhYbA,573 +torch/_export/db/examples/dynamic_shape_map.py,sha256=4ci4Xn_Nv-ONqI5FyX17gjTcmG6Dh9076Nqs3_6K9ZI,417 +torch/_export/db/examples/dynamic_shape_round.py,sha256=l14D38Rsj59jgBdGt1j1I5yfYWgHV7c74m2LBc8UFVs,467 +torch/_export/db/examples/dynamic_shape_slicing.py,sha256=WW77ikdm3RwSYqVqLQoD_-qIKQnGni8oABI_sVyA2KY,356 +torch/_export/db/examples/dynamic_shape_view.py,sha256=I4j4GSDLpLksDJ0AAGoNcJT7Mq7YNc6RHphQgtkiZq4,407 +torch/_export/db/examples/fn_with_kwargs.py,sha256=XMrgE6je9AeyUbALSOXsCRZgEqs2k_zC9BrA51Hhmso,747 +torch/_export/db/examples/list_contains.py,sha256=PVvXCNb8An_5ReVqHsQzKkYRCYzbCXU_I7H_rRwUbro,439 +torch/_export/db/examples/list_unpack.py,sha256=JcELb8FvzSdQzkQkGf8tOES3wSMoC7C2g3sm5DB_oa0,433 +torch/_export/db/examples/model_attr_mutation.py,sha256=xKOCN4sCVR8x-1_7jK6eVp9tHAxSmikKuVgdMSNskUY,635 +torch/_export/db/examples/nested_function.py,sha256=BoHOicnYON-NJ47eHiQwQeS6sR5e4qX8kNDadinF2Y4,438 +torch/_export/db/examples/null_context_manager.py,sha256=KqD_IZVedCmCdDuuB5SwdvmOc_YRAzOI1F92SdMLw-s,356 +torch/_export/db/examples/optional_input.py,sha256=dYgt1m-DZ0_ndtxK5BjPBwYG8N8i-N5bkNrc0wmU66g,442 +torch/_export/db/examples/pytree_flatten.py,sha256=5sn7swN42fFyy9igjW8JY_X3Aidh0_0noC2xqrWmYok,399 +torch/_export/db/examples/scalar_output.py,sha256=VCjFlnCaL7NrmTgKpUO-zI1YSnlzcl562SXD7O3tcGE,459 +torch/_export/db/examples/specialized_attribute.py,sha256=D72fSMVcPZsP-whJqrID2u9Xn_2H2zGqyxUaQM7IwtM,522 +torch/_export/db/examples/static_for_loop.py,sha256=78vr9XMv1tgeQUBSnzMNJgXmVAZ6KHKkedyT6gZ03Zg,483 +torch/_export/db/examples/static_if.py,sha256=JS3n7DtzH32ed6NNfjwznPfHKxgMLCMhRQYRr8ICHlM,473 +torch/_export/db/examples/tensor_setattr.py,sha256=KhxIGI_O8rjbS8MFv1qJI9yYOwkbUDEbYVFHkkW9cqE,363 +torch/_export/db/examples/torch_sym_min.py,sha256=H6CEzi8uqycH_i_EOkNhvaIAQ2NjLT2YUoThwZma69g,400 +torch/_export/db/examples/type_reflection_method.py,sha256=4nu7V8WkJeysdgmwMCnRriGh7cYcBWHexwUAZUlq-40,674 +torch/_export/db/examples/user_input_mutation.py,sha256=ayBZwdacLxkifjnVg6yu-kbXMCVRfHZJR_ZVlpeAfbw,371 +torch/_export/db/gen_example.py,sha256=5j-ObT4SYqZ_HwJJwcs1hlq2zaAw97pqUFrJPtIDntQ,582 +torch/_export/db/logging.py,sha256=0p6qpGqgBkyh1a0JFYmvwWy-qolfHUg5bZgdb42kfdk,58 +torch/_export/error.py,sha256=CbVpyPi3enGAfXPh5R0pGnY4T0B8OvQJJQrzZW9qSXU,1776 +torch/_export/exported_program.py,sha256=qwtFTEAdiZ6LyTIaLwUqm6ohACRSPjKvnhN0qwgdepU,17620 +torch/_export/pass_base.py,sha256=NzeDo4Myrx9IiqosmukJtH7woCJbEFZnwVU1V5SjNzs,16957 +torch/_export/pass_infra/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/_export/pass_infra/__pycache__/__init__.cpython-310.pyc,, +torch/_export/pass_infra/__pycache__/node_metadata.cpython-310.pyc,, +torch/_export/pass_infra/__pycache__/proxy_value.cpython-310.pyc,, +torch/_export/pass_infra/node_metadata.py,sha256=r0lYig_aW6VXdmVm9q4oGJywPgwt6fHuZJNfb3mCAtI,782 +torch/_export/pass_infra/proxy_value.py,sha256=-ffaCq89LS4PPdXnGhz6DA81DO-j72XTrTDoRwqlKqQ,1140 +torch/_export/passes/__init__.py,sha256=78MzFjtaVabk1z2X12WMIlmtkjYaFmgNJlDCTCepNt8,88 +torch/_export/passes/__pycache__/__init__.cpython-310.pyc,, +torch/_export/passes/__pycache__/add_runtime_assertions_for_constraints_pass.cpython-310.pyc,, +torch/_export/passes/__pycache__/collect_tracepoints_pass.cpython-310.pyc,, +torch/_export/passes/__pycache__/functionalize_side_effectful_ops_pass.cpython-310.pyc,, +torch/_export/passes/__pycache__/lift_constant_tensor_pass.cpython-310.pyc,, +torch/_export/passes/__pycache__/remove_runtime_assertions.cpython-310.pyc,, +torch/_export/passes/__pycache__/replace_sym_size_ops_pass.cpython-310.pyc,, +torch/_export/passes/__pycache__/replace_view_ops_with_view_copy_ops_pass.cpython-310.pyc,, +torch/_export/passes/add_runtime_assertions_for_constraints_pass.py,sha256=krHuDgq11_Rp1HbMtUmb9QFRN4AEFd4zp89NSIWW740,13619 +torch/_export/passes/collect_tracepoints_pass.py,sha256=41xJTUgRR2G4bz_RkPx8aD1wS_Y5I6bmD5cAkK5f_3A,2724 +torch/_export/passes/functionalize_side_effectful_ops_pass.py,sha256=oWaq3B8IHAiQskGGizpSf-JQ5VLt3QhTau-vkCLqZIM,3236 +torch/_export/passes/lift_constant_tensor_pass.py,sha256=YfPDVtW_CMYhrXH0paFFnhuNaD1b4XoKx0VyvtkyVjU,2750 +torch/_export/passes/remove_runtime_assertions.py,sha256=RCDa_sKeyJyq35jVCBx_9r7KRGxXTI5Bb_3EBzQ_vuM,1040 +torch/_export/passes/replace_sym_size_ops_pass.py,sha256=GKBeMjlU_mcypH0XMlW1ozrnuRJ9WEuKJAYMI_Y4MIw,610 +torch/_export/passes/replace_view_ops_with_view_copy_ops_pass.py,sha256=DMbnlpq98vPhZs3S6oRipYcGSKhuNf7Z4d8abV4XUrM,2652 +torch/_export/serde/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/_export/serde/__pycache__/__init__.cpython-310.pyc,, +torch/_export/serde/__pycache__/schema.cpython-310.pyc,, +torch/_export/serde/__pycache__/serialize.cpython-310.pyc,, +torch/_export/serde/__pycache__/upgrade.cpython-310.pyc,, +torch/_export/serde/schema.py,sha256=ifHQpI_z0zxyMH7zEUV5t-c-o4EWs6Hf_mG-a3lmpy8,7985 +torch/_export/serde/serialize.py,sha256=pQkmGlFeXZlNcGp-BAhX2E53VRAE0g8Uc-7o2M9Sp7Y,72321 +torch/_export/serde/upgrade.py,sha256=BEroIPAxljuqLUzOOiV-9bwF4GTQUUhpROwxGOfcnvk,9974 +torch/_export/unflatten.py,sha256=ztBxClGbqqTbyTlUr1gERThNezAulK_dzOazoc6qV6E,25142 +torch/_export/utils.py,sha256=5SRUrSAODcMYkCH8ovo9g0kdPf4qqqjYwQPLeKr-iDQ,5712 +torch/_export/verifier.py,sha256=e9oczskaCiVGgEK2Pfpc8phKAAaHWGTLm-BME2rQFdQ,14709 +torch/_export/wrappers.py,sha256=Hz1QHUTdTLlags_WtGuWfirlYy88kRnKFm4-ab9sIEg,3622 +torch/_functorch/__init__.py,sha256=a3XxW1RcNAPwEVaI2g11hpnJvSHxGUFsGmDAWfDnLP8,206 +torch/_functorch/__pycache__/__init__.cpython-310.pyc,, +torch/_functorch/__pycache__/aot_autograd.cpython-310.pyc,, +torch/_functorch/__pycache__/apis.cpython-310.pyc,, +torch/_functorch/__pycache__/autograd_function.cpython-310.pyc,, +torch/_functorch/__pycache__/batch_norm_replacement.cpython-310.pyc,, +torch/_functorch/__pycache__/benchmark_utils.cpython-310.pyc,, +torch/_functorch/__pycache__/compile_utils.cpython-310.pyc,, +torch/_functorch/__pycache__/compilers.cpython-310.pyc,, +torch/_functorch/__pycache__/config.cpython-310.pyc,, +torch/_functorch/__pycache__/deprecated.cpython-310.pyc,, +torch/_functorch/__pycache__/eager_transforms.cpython-310.pyc,, +torch/_functorch/__pycache__/functional_call.cpython-310.pyc,, +torch/_functorch/__pycache__/fx_minifier.cpython-310.pyc,, +torch/_functorch/__pycache__/make_functional.cpython-310.pyc,, +torch/_functorch/__pycache__/partitioners.cpython-310.pyc,, +torch/_functorch/__pycache__/pyfunctorch.cpython-310.pyc,, +torch/_functorch/__pycache__/python_key.cpython-310.pyc,, +torch/_functorch/__pycache__/pytree_hacks.cpython-310.pyc,, +torch/_functorch/__pycache__/top_operators_github_usage.cpython-310.pyc,, +torch/_functorch/__pycache__/utils.cpython-310.pyc,, +torch/_functorch/__pycache__/vmap.cpython-310.pyc,, +torch/_functorch/_aot_autograd/__init__.py,sha256=a3XxW1RcNAPwEVaI2g11hpnJvSHxGUFsGmDAWfDnLP8,206 +torch/_functorch/_aot_autograd/__pycache__/__init__.cpython-310.pyc,, +torch/_functorch/_aot_autograd/__pycache__/collect_metadata_analysis.cpython-310.pyc,, +torch/_functorch/_aot_autograd/__pycache__/dispatch_and_compile_graph.cpython-310.pyc,, +torch/_functorch/_aot_autograd/__pycache__/functional_utils.cpython-310.pyc,, +torch/_functorch/_aot_autograd/__pycache__/input_output_analysis.cpython-310.pyc,, +torch/_functorch/_aot_autograd/__pycache__/jit_compile_runtime_wrappers.cpython-310.pyc,, +torch/_functorch/_aot_autograd/__pycache__/logging_utils.cpython-310.pyc,, +torch/_functorch/_aot_autograd/__pycache__/runtime_wrappers.cpython-310.pyc,, +torch/_functorch/_aot_autograd/__pycache__/schemas.cpython-310.pyc,, +torch/_functorch/_aot_autograd/__pycache__/subclass_utils.cpython-310.pyc,, +torch/_functorch/_aot_autograd/__pycache__/traced_function_transforms.cpython-310.pyc,, +torch/_functorch/_aot_autograd/__pycache__/utils.cpython-310.pyc,, +torch/_functorch/_aot_autograd/collect_metadata_analysis.py,sha256=XnauvCHFX4ex4wGOas4Z4xQivB3HU85yfC4rq7SKMiI,31535 +torch/_functorch/_aot_autograd/dispatch_and_compile_graph.py,sha256=969pIguPv6R2Z1_7hSfNAcr5nOlx6kGNEbuytPWwXEA,6486 +torch/_functorch/_aot_autograd/functional_utils.py,sha256=bb9BSFjSQ2crW5x7qahSvpi19zWqDdhTkI9WbxSQN8A,16476 +torch/_functorch/_aot_autograd/input_output_analysis.py,sha256=SXPAo3MWNi6utGj7FRHHzwdCtNyhXGy-b33oJ1SQqu8,17300 +torch/_functorch/_aot_autograd/jit_compile_runtime_wrappers.py,sha256=PT7JpWoYMLlOBkQxqDaHCkt2zn8E7jxp1ZRC0gIpU24,38124 +torch/_functorch/_aot_autograd/logging_utils.py,sha256=Kgxo5djLiyFCUkUOs0vwftEHX8pACRPpiZ-Go0TeICU,4162 +torch/_functorch/_aot_autograd/runtime_wrappers.py,sha256=A4zlSbakroaxOjrGEearWnB_1-mzZCNdTV024FBXJfA,44177 +torch/_functorch/_aot_autograd/schemas.py,sha256=-xQPPEMRnej81yM2kALFNP9llmD97AydJmTnFI2IS10,27035 +torch/_functorch/_aot_autograd/subclass_utils.py,sha256=zl2StS0H7RUiZ0ZH-hNN1lYSXtvGdZznvH_ZAitG4aE,11037 +torch/_functorch/_aot_autograd/traced_function_transforms.py,sha256=XJ3p_31xvEmgH3EsliVw4U1q-IxiaHzz_1w1_2EGbmg,28941 +torch/_functorch/_aot_autograd/utils.py,sha256=Qd71E3c5eXqnO7jsqUTT8dBfjFctI315ZPZ1GpHD5gs,7758 +torch/_functorch/aot_autograd.py,sha256=9dhJd4cwyeC56HVGIDdER3kAtPi1e_GEEU8OpTvpEH8,53553 +torch/_functorch/apis.py,sha256=kmScu77IDkw-VbqKn1Qvoqr9W47eU03rxvoxHqigKo0,16847 +torch/_functorch/autograd_function.py,sha256=LP-0mxIN_PyHBYgcXu2QYe0IIAQzSm9TXmz6TlkPCfY,25190 +torch/_functorch/batch_norm_replacement.py,sha256=DJ8dkUf2WE-9SRh2vl59hrTiAcEWcEC7k50tPpLBWVo,825 +torch/_functorch/benchmark_utils.py,sha256=-C5uVaTxpM4Khk3HslmRTJQ2sb1oqU-Ho51TF3-5K40,6086 +torch/_functorch/compile_utils.py,sha256=oUxthKYeQW71GWKlfcb1fD3Ywp0ZMEZlzN9RSNJyoNY,3707 +torch/_functorch/compilers.py,sha256=wPqc1ryAc21zZ-IhNA3f6K2ayGby8x6qdfzVMIrThhQ,14026 +torch/_functorch/config.py,sha256=bBI31cVYsH6zi316WS8KT5uKarCcyL9qr5FaVnlZcEc,1339 +torch/_functorch/deprecated.py,sha256=QmRHqmDHSfoAMn0NcDmH-4x-X7FBIkk4Vk8Ch2YOAEE,5073 +torch/_functorch/eager_transforms.py,sha256=YFN8hXWfPJyWr2w1hafx12wH_QvujOrXFz2CcEo2vgM,70508 +torch/_functorch/functional_call.py,sha256=CneOm8rKSEbA8-hZOZR4plTJ9FD2WnvjWwAVBRN7IFs,10376 +torch/_functorch/fx_minifier.py,sha256=rEGSGpU6tIoHJq1SUHymJ0CiMzwo0KQOb6o_6rO9fXI,16645 +torch/_functorch/make_functional.py,sha256=t1F3sIa-MJMY0CTTIn5SzVIafcSbEleGPyPMHRtx1E0,22759 +torch/_functorch/partitioners.py,sha256=hwBL95WQruMTH8WqA0bbXpRB4dR1b0y8PWoPyfZ_np4,40698 +torch/_functorch/pyfunctorch.py,sha256=RpOGKuQ69bnIk-LbdyInHLEM4JbjXHuYQMMfun3-x9o,8007 +torch/_functorch/python_key.py,sha256=H9lpa27GA8NR6bAgXKh7Ze2-QCvrkGCzlMRmLN5vRWo,420 +torch/_functorch/pytree_hacks.py,sha256=7lF2bnIXIbnYAqMcgPotUxtNqdkcjudmZL6UTu7Rlq4,672 +torch/_functorch/top_operators_github_usage.py,sha256=YYMzjeumv4ZkEuX_Ou2rpFvIcSn1t0k5JN2RM-uy5oU,21361 +torch/_functorch/utils.py,sha256=IUmtwspC_5637TtJHKORvB0sU4u-4Khkby4zR2S8abA,1384 +torch/_functorch/vmap.py,sha256=q4gXTjfz617IQy4E512HQdlCTkq3bAMWXmADimcPiQM,18129 +torch/_guards.py,sha256=qeVEV0gLDsZjD3OTf-iQHYOhJqGIipNzIUJUhuk1igU,27027 +torch/_higher_order_ops/__init__.py,sha256=mkfYT6ua4AboglDivmN5oKFpeKc-nIeAIj1R10KpjNg,23 +torch/_higher_order_ops/__pycache__/__init__.cpython-310.pyc,, +torch/_higher_order_ops/__pycache__/auto_functionalize.cpython-310.pyc,, +torch/_higher_order_ops/__pycache__/cond.cpython-310.pyc,, +torch/_higher_order_ops/__pycache__/map.cpython-310.pyc,, +torch/_higher_order_ops/__pycache__/out_dtype.cpython-310.pyc,, +torch/_higher_order_ops/__pycache__/triton_kernel_wrap.cpython-310.pyc,, +torch/_higher_order_ops/__pycache__/utils.cpython-310.pyc,, +torch/_higher_order_ops/__pycache__/wrap.cpython-310.pyc,, +torch/_higher_order_ops/auto_functionalize.py,sha256=OE4Jg7GjPRuxjbhOH0FJZomIFOtOFBprCYFMdShIgpY,7046 +torch/_higher_order_ops/cond.py,sha256=GDuZYHXBVZOR581Aro3nR8tDE_MvBORHz82iet3Dz7s,15449 +torch/_higher_order_ops/map.py,sha256=DeTE9vz6JR-HtYR_oeYRHapwQW5xJHKZnSi2wbNxZTQ,13427 +torch/_higher_order_ops/out_dtype.py,sha256=Km6rNNCzVgppOHrxLyAkKC7tgK1sK_1oP5z9WX6EnY8,6135 +torch/_higher_order_ops/triton_kernel_wrap.py,sha256=ZHVGRxAR2CasH2XDF0rVUY4qU_8xEDQa2Vc2KWlRfe0,9427 +torch/_higher_order_ops/utils.py,sha256=KCZGE4U8pB2lZ1M7dCac3TRn5gKPv1STyJlM9p0wVCc,2140 +torch/_higher_order_ops/wrap.py,sha256=7AEMSngknhwk188qOCmf2uhLyEuXb6n7XONDc8e6z98,7294 +torch/_inductor/__init__.py,sha256=ZVQvBMymIhoxWdNsolwpYUS8HxBExnzVUHYKCtdEMN0,4261 +torch/_inductor/__pycache__/__init__.cpython-310.pyc,, +torch/_inductor/__pycache__/autotune_process.cpython-310.pyc,, +torch/_inductor/__pycache__/bounds.cpython-310.pyc,, +torch/_inductor/__pycache__/codecache.cpython-310.pyc,, +torch/_inductor/__pycache__/comm_analysis.cpython-310.pyc,, +torch/_inductor/__pycache__/comms.cpython-310.pyc,, +torch/_inductor/__pycache__/compile_fx.cpython-310.pyc,, +torch/_inductor/__pycache__/config.cpython-310.pyc,, +torch/_inductor/__pycache__/constant_folding.cpython-310.pyc,, +torch/_inductor/__pycache__/coordinate_descent_tuner.cpython-310.pyc,, +torch/_inductor/__pycache__/cudagraph_trees.cpython-310.pyc,, +torch/_inductor/__pycache__/debug.cpython-310.pyc,, +torch/_inductor/__pycache__/decomposition.cpython-310.pyc,, +torch/_inductor/__pycache__/dependencies.cpython-310.pyc,, +torch/_inductor/__pycache__/exc.cpython-310.pyc,, +torch/_inductor/__pycache__/freezing.cpython-310.pyc,, +torch/_inductor/__pycache__/fx_utils.cpython-310.pyc,, +torch/_inductor/__pycache__/graph.cpython-310.pyc,, +torch/_inductor/__pycache__/hooks.cpython-310.pyc,, +torch/_inductor/__pycache__/index_propagation.cpython-310.pyc,, +torch/_inductor/__pycache__/inductor_prims.cpython-310.pyc,, +torch/_inductor/__pycache__/ir.cpython-310.pyc,, +torch/_inductor/__pycache__/lowering.cpython-310.pyc,, +torch/_inductor/__pycache__/metrics.cpython-310.pyc,, +torch/_inductor/__pycache__/optimize_indexing.cpython-310.pyc,, +torch/_inductor/__pycache__/pattern_matcher.cpython-310.pyc,, +torch/_inductor/__pycache__/quantized_lowerings.cpython-310.pyc,, +torch/_inductor/__pycache__/scheduler.cpython-310.pyc,, +torch/_inductor/__pycache__/select_algorithm.cpython-310.pyc,, +torch/_inductor/__pycache__/sizevars.cpython-310.pyc,, +torch/_inductor/__pycache__/test_operators.cpython-310.pyc,, +torch/_inductor/__pycache__/triton_helpers.cpython-310.pyc,, +torch/_inductor/__pycache__/triton_heuristics.cpython-310.pyc,, +torch/_inductor/__pycache__/utils.cpython-310.pyc,, +torch/_inductor/__pycache__/virtualized.cpython-310.pyc,, +torch/_inductor/__pycache__/wrapper_benchmark.cpython-310.pyc,, +torch/_inductor/autotune_process.py,sha256=wGtYp2tFB0Fc7E3uiDXinVEOW5DiCjRG_HyzKRMdT2I,19227 +torch/_inductor/bounds.py,sha256=O00czZzaG1UeVt3GGLxc7WqDr_j5aNBBhoJpyzdoIco,5160 +torch/_inductor/codecache.py,sha256=qOvXFs_XrRc4xfB2cVzay3UI5sP3XUblWeik76PZbGo,89863 +torch/_inductor/codegen/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/_inductor/codegen/__pycache__/__init__.cpython-310.pyc,, +torch/_inductor/codegen/__pycache__/common.cpython-310.pyc,, +torch/_inductor/codegen/__pycache__/cpp.cpython-310.pyc,, +torch/_inductor/codegen/__pycache__/cuda_combined_scheduling.cpython-310.pyc,, +torch/_inductor/codegen/__pycache__/memory_planning.cpython-310.pyc,, +torch/_inductor/codegen/__pycache__/triton.cpython-310.pyc,, +torch/_inductor/codegen/__pycache__/triton_foreach.cpython-310.pyc,, +torch/_inductor/codegen/__pycache__/triton_utils.cpython-310.pyc,, +torch/_inductor/codegen/__pycache__/wrapper.cpython-310.pyc,, +torch/_inductor/codegen/aoti_runtime/interface.cpp,sha256=4kmAok0tvIib-tqJDPDg1ZYO_0ejSNK_4s-3vE4_Plo,8647 +torch/_inductor/codegen/common.py,sha256=UWmTz0OxwrXwY8zlw40iUlEQjIgodh7xL9y4lV4L6rg,43348 +torch/_inductor/codegen/cpp.py,sha256=8LYrCSBY_0mf4Pwj-jMy740yHOtsvJiFqs1NZlad1VU,125937 +torch/_inductor/codegen/cpp_prefix.h,sha256=0tOVs5J0nD_Ty8Ri6Awg8dhRYQmMUC8_k9lOETLedJ8,13189 +torch/_inductor/codegen/cuda/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/_inductor/codegen/cuda/__pycache__/__init__.cpython-310.pyc,, +torch/_inductor/codegen/cuda/__pycache__/cuda_cpp_scheduling.cpython-310.pyc,, +torch/_inductor/codegen/cuda/__pycache__/cuda_env.cpython-310.pyc,, +torch/_inductor/codegen/cuda/__pycache__/cuda_kernel.cpython-310.pyc,, +torch/_inductor/codegen/cuda/__pycache__/cuda_template.cpython-310.pyc,, +torch/_inductor/codegen/cuda/__pycache__/cutlass_epilogue_gen.cpython-310.pyc,, +torch/_inductor/codegen/cuda/__pycache__/cutlass_utils.cpython-310.pyc,, +torch/_inductor/codegen/cuda/__pycache__/gemm_template.cpython-310.pyc,, +torch/_inductor/codegen/cuda/cuda_cpp_scheduling.py,sha256=qN5hl2ucctjRRDNGQrObP0oHmzpS8_prG919xbY0ox8,8917 +torch/_inductor/codegen/cuda/cuda_env.py,sha256=PYVqjCOd-6bWkK-Ql65b8JYSlKDG_9E1jLTkR5KyWAw,1137 +torch/_inductor/codegen/cuda/cuda_kernel.py,sha256=LA4PMxGy8s_AZxFEqeDI-BDh7ysSgvUX-784FV3gs3s,11008 +torch/_inductor/codegen/cuda/cuda_template.py,sha256=Xt8MkDeCvTWFPDHK0-IJ6mFcUS9_yZgaQou6y3jM3iI,8452 +torch/_inductor/codegen/cuda/cutlass_epilogue_gen.py,sha256=A3vDelypJyGo7iUGpTK5ZsDPV_zBrQR2MQItUcZG5I4,14384 +torch/_inductor/codegen/cuda/cutlass_lib_extensions/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/_inductor/codegen/cuda/cutlass_lib_extensions/__pycache__/__init__.cpython-310.pyc,, +torch/_inductor/codegen/cuda/cutlass_lib_extensions/__pycache__/gemm_operation_extensions.cpython-310.pyc,, +torch/_inductor/codegen/cuda/cutlass_lib_extensions/gemm_operation_extensions.py,sha256=aSG0QSRresOAba7E5cXnlssbMweQOJOnr4TsigxC5L0,9774 +torch/_inductor/codegen/cuda/cutlass_utils.py,sha256=WaaIqLEMje1EoyF4aVTHpCRNrJq0VTrS96F6A321xxU,8284 +torch/_inductor/codegen/cuda/gemm_template.py,sha256=-zhzLwqsYE1pGxKVlSQrsmFdmqukaVtHIP66H0YWFE4,27319 +torch/_inductor/codegen/cuda_combined_scheduling.py,sha256=XyuaURZf9m_NUgpA4nslThi3D0iBQs--wOkx1FaHzb8,2942 +torch/_inductor/codegen/memory_planning.py,sha256=gTt_eE4iuhrWcZCr2okPFP5aPTfw7J0KmzMGARqld8I,25695 +torch/_inductor/codegen/triton.py,sha256=W-wW5d_KXUHAktQUCMPXB4jf0VHkKrw1WL-45Hd5jRI,113233 +torch/_inductor/codegen/triton_foreach.py,sha256=c3c5giWueIRdsQRepLt7H6qt4q-Q8XDNRue5V3UC7pY,9317 +torch/_inductor/codegen/triton_utils.py,sha256=t8NmLDgTqcsSEecK_Hw1BfHvFBiSKijdqZG_TVNpvqE,3389 +torch/_inductor/codegen/wrapper.py,sha256=1G8jm3gJTgzDLMX4OxYmNTsBg72EDoF3TthrMGCSbH0,104658 +torch/_inductor/comm_analysis.py,sha256=o5hBpyOus5VjS40z8iQms3QYj0Ii_e9Hj1Neu2AbA6M,7881 +torch/_inductor/comms.py,sha256=p8LtBZHyNN4ci1W-kkHfE9z1yk9p7yO_11szgkBx6dQ,14770 +torch/_inductor/compile_fx.py,sha256=nBe6RjJck-8QtwNRhLtzQEyI_ITm9Cm7h3olnYRYys0,45235 +torch/_inductor/config.py,sha256=QXQw9uiL6MkoCc_EygIYwhiXjEeN6QwQStcKfzbLueU,23475 +torch/_inductor/constant_folding.py,sha256=Fsxl4qas2fqKKT32R-frV5b_BBJu38VOz3OsHMBN8-A,6344 +torch/_inductor/coordinate_descent_tuner.py,sha256=lpdx9nWKEzV0OTQt8e9YHX8r316EgXg2Gdu5SSfocPY,10311 +torch/_inductor/cudagraph_trees.py,sha256=iTuVtsMAetlzhZBqd3qn8QrI7CklOvRNyDZGa_l6IeE,84397 +torch/_inductor/debug.py,sha256=xmfJTSxYz3bHNDKgN8PmP0lSLPZpbWGzUfEi8JkH-Rc,17803 +torch/_inductor/decomposition.py,sha256=S83FeRfdYv2X3VZPqa6FeYX3lWsoNIeYmaKp-hXpTT0,18975 +torch/_inductor/dependencies.py,sha256=hf8C5mDB9-M3ufNcqI3y8Xt5HogFiirYkbRLc4cppzQ,15023 +torch/_inductor/exc.py,sha256=iPPdg0Ejm6yTPfHKRU1RKEZK6__VwpC9f-gSjCdPwZA,2703 +torch/_inductor/freezing.py,sha256=XMo3DHSOoBhWjmT2XeLucs71CqgWJ7A4EFvc6y1WM8I,9812 +torch/_inductor/fx_passes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/_inductor/fx_passes/__pycache__/__init__.cpython-310.pyc,, +torch/_inductor/fx_passes/__pycache__/binary_folding.cpython-310.pyc,, +torch/_inductor/fx_passes/__pycache__/efficient_conv_bn_eval.cpython-310.pyc,, +torch/_inductor/fx_passes/__pycache__/freezing_patterns.cpython-310.pyc,, +torch/_inductor/fx_passes/__pycache__/fuse_attention.cpython-310.pyc,, +torch/_inductor/fx_passes/__pycache__/group_batch_fusion.cpython-310.pyc,, +torch/_inductor/fx_passes/__pycache__/joint_graph.cpython-310.pyc,, +torch/_inductor/fx_passes/__pycache__/misc_patterns.cpython-310.pyc,, +torch/_inductor/fx_passes/__pycache__/mkldnn_fusion.cpython-310.pyc,, +torch/_inductor/fx_passes/__pycache__/pad_mm.cpython-310.pyc,, +torch/_inductor/fx_passes/__pycache__/post_grad.cpython-310.pyc,, +torch/_inductor/fx_passes/__pycache__/pre_grad.cpython-310.pyc,, +torch/_inductor/fx_passes/__pycache__/quantization.cpython-310.pyc,, +torch/_inductor/fx_passes/__pycache__/replace_random.cpython-310.pyc,, +torch/_inductor/fx_passes/__pycache__/split_cat.cpython-310.pyc,, +torch/_inductor/fx_passes/binary_folding.py,sha256=-loNlEfgcGEBCS9d6AaxDXVac0v5A-gd7cCSMC0B30I,10582 +torch/_inductor/fx_passes/efficient_conv_bn_eval.py,sha256=spt2lTkGUtuoM2_nbtrJfg2tbAiW6dNtF6bAk9ao_2o,5495 +torch/_inductor/fx_passes/freezing_patterns.py,sha256=EP7t8bX8RodHAEABb2WKAdi2mvVt1HAzZy3Fg_i1FEk,6113 +torch/_inductor/fx_passes/fuse_attention.py,sha256=kKqZ9ZP3czEvnkgq41K7U6quPnSHSsZLgpS4MUr6UZU,17615 +torch/_inductor/fx_passes/group_batch_fusion.py,sha256=nvTlNWbvAmlkFIxBC3NqWjzTKnr1NULh7uva_BTmXKE,28784 +torch/_inductor/fx_passes/joint_graph.py,sha256=vtct08ionz_JM3EIC9Xy_yCKs3d6Kc0UFvdDevMQ-0M,10515 +torch/_inductor/fx_passes/misc_patterns.py,sha256=eVzvQI7PvtY2ZXFIJG5FyTsZ3b9N8sQD0lRFGuUWgW8,4746 +torch/_inductor/fx_passes/mkldnn_fusion.py,sha256=GoI3PfeMTErMSv8g1VIHZp1IAUZVlNsaPKvgpd_lVWw,41822 +torch/_inductor/fx_passes/pad_mm.py,sha256=6ky1EyMGdw1hskSRdr3fM9IAa5Pv_U9mmi2nR5LVU-s,14881 +torch/_inductor/fx_passes/post_grad.py,sha256=JcWck4Ov6WOWW4-1qK2fQtnNfcwewFkK8WNy7YkpI7w,38609 +torch/_inductor/fx_passes/pre_grad.py,sha256=ZwhEEjcn6X61SnEe99SFPNhfkR_qA7XgHAS5FDnP-ew,16852 +torch/_inductor/fx_passes/quantization.py,sha256=tM3gK6MZHPVRpnO_S-7hJRzkpejcwgGBaKsYZCUgdQE,52871 +torch/_inductor/fx_passes/replace_random.py,sha256=_Lb_tJBi0dImmVo6k8I29QQkmqFPY0WCA-eQeoHa2tM,3788 +torch/_inductor/fx_passes/serialized_patterns/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/_inductor/fx_passes/serialized_patterns/__pycache__/__init__.cpython-310.pyc,, +torch/_inductor/fx_passes/serialized_patterns/__pycache__/_sfdp_pattern_1.cpython-310.pyc,, +torch/_inductor/fx_passes/serialized_patterns/__pycache__/_sfdp_pattern_10.cpython-310.pyc,, +torch/_inductor/fx_passes/serialized_patterns/__pycache__/_sfdp_pattern_11.cpython-310.pyc,, +torch/_inductor/fx_passes/serialized_patterns/__pycache__/_sfdp_pattern_12.cpython-310.pyc,, +torch/_inductor/fx_passes/serialized_patterns/__pycache__/_sfdp_pattern_13.cpython-310.pyc,, +torch/_inductor/fx_passes/serialized_patterns/__pycache__/_sfdp_pattern_2.cpython-310.pyc,, +torch/_inductor/fx_passes/serialized_patterns/__pycache__/_sfdp_pattern_3.cpython-310.pyc,, +torch/_inductor/fx_passes/serialized_patterns/__pycache__/_sfdp_pattern_4.cpython-310.pyc,, +torch/_inductor/fx_passes/serialized_patterns/__pycache__/_sfdp_pattern_5.cpython-310.pyc,, +torch/_inductor/fx_passes/serialized_patterns/__pycache__/_sfdp_pattern_6.cpython-310.pyc,, +torch/_inductor/fx_passes/serialized_patterns/__pycache__/_sfdp_pattern_7.cpython-310.pyc,, +torch/_inductor/fx_passes/serialized_patterns/__pycache__/_sfdp_pattern_8.cpython-310.pyc,, +torch/_inductor/fx_passes/serialized_patterns/__pycache__/_sfdp_pattern_9.cpython-310.pyc,, +torch/_inductor/fx_passes/serialized_patterns/__pycache__/central_index.cpython-310.pyc,, +torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_1.py,sha256=Xt-QzejN6qlahtvUNyJ0G42fMqTo83JVeXgTOASIUP0,11428 +torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_10.py,sha256=1Wzlp80eqeOBBC6OL4V8qFm4Hl5Usv6Jphg_vMJ6yEI,14480 +torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_11.py,sha256=dJOyfque49UtDt3Ry0-JADXkpXYry7L4cJKi9oROEyU,14238 +torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_12.py,sha256=7qD-DU7N-iC8tu2_jou_wnvmNIlC6EZpN_yIYjyFoCY,15858 +torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_13.py,sha256=BESphciBVtNXTIlc6s2OX4xQVoX5APx82qNLKUNZ3CU,8450 +torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_2.py,sha256=mZAlCslvcVoban9Xd2ZQF2Wtxsh7dEyUyM4EgMSI-m8,11440 +torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_3.py,sha256=VbvbKbz_-S5VQ6CWNFPZDoH4NF7GqEPADQcV4oBhHB0,13032 +torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_4.py,sha256=VqA3mNaukazswKOsuHCpSGXtnu9jski_3-mp2X6vSsM,12998 +torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_5.py,sha256=0W_hWvHTXZBH6MIhE4X_hUDhjkJy4ARkT3rk44kYbh0,11664 +torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_6.py,sha256=81z0b6Oe5fHt45rdn61X2cXcGCgcBmd2R6VnyoIVe0I,13226 +torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_7.py,sha256=E7XwmUnINgu7XyMsAsg6YBtWechYbUetNCU50ipXwaA,16050 +torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_8.py,sha256=QAkQK-gLeK_t2rMeCnZ7_0hrMcPKNU5R7NjLuknz88s,14468 +torch/_inductor/fx_passes/serialized_patterns/_sfdp_pattern_9.py,sha256=OTbZ-Dg7ZY-_JqcPvTxY_GZOVmnWiPgxvB0JQz-hDvw,16058 +torch/_inductor/fx_passes/serialized_patterns/central_index.py,sha256=HmdyUa1DtRmCjQvvYmA61CSKlmsPW3GMyX8Lbysv-2c,5885 +torch/_inductor/fx_passes/split_cat.py,sha256=AxApbta5msLyffhJOfWyT5pTI912A16zvvX4rf7JzQ8,52231 +torch/_inductor/fx_utils.py,sha256=imyPxRl74rO9BgqmAs8klmMSSRXAAD5scBO0pvEocR0,6384 +torch/_inductor/graph.py,sha256=V0WSxPV1x7-3XR7h1ibxagvLDCZpWmgBpHKCeKfdbcI,46407 +torch/_inductor/hooks.py,sha256=KBpaOZPxA6I8eMMrrHYkt69EtWdEYeWLflLgf2TtCGU,487 +torch/_inductor/index_propagation.py,sha256=SpfukZdrpA_hlCr0AhonwvfFK3fSJ7HrDeykTB1ECQo,9232 +torch/_inductor/inductor_prims.py,sha256=1qCWz8V7oEUSDxQPEaUb12fTPk6dhz21OCCtEiyyjjs,3135 +torch/_inductor/ir.py,sha256=Jihdd7_uk5ciA7q5Mcox5D61p29QymjKGwg0nao7utE,243515 +torch/_inductor/kernel/__init__.py,sha256=H6IReWIOt8twLwq3VA3cggOOQd5_EDJ7o48hU5K0RAM,57 +torch/_inductor/kernel/__pycache__/__init__.cpython-310.pyc,, +torch/_inductor/kernel/__pycache__/bmm.cpython-310.pyc,, +torch/_inductor/kernel/__pycache__/conv.cpython-310.pyc,, +torch/_inductor/kernel/__pycache__/mm.cpython-310.pyc,, +torch/_inductor/kernel/__pycache__/mm_common.cpython-310.pyc,, +torch/_inductor/kernel/__pycache__/mm_plus_mm.cpython-310.pyc,, +torch/_inductor/kernel/__pycache__/unpack_mixed_mm.cpython-310.pyc,, +torch/_inductor/kernel/bmm.py,sha256=j4F-KvWr7_uWSA1oSwkRs79VAALBiB6pPHjyrdGfjfI,4200 +torch/_inductor/kernel/conv.py,sha256=KoI8EbjaNVpvD0TW8ia_lFFE1fsy5lTt_1jULW_Rvvg,14418 +torch/_inductor/kernel/mm.py,sha256=m91Ixy9bh_YNh0YTNERN0olJjbw1Nsig5hVxOR8K6ac,10441 +torch/_inductor/kernel/mm_common.py,sha256=OwMFtZLZKtflc5QR6CjMY5waHc4gczjlN2mUbZCY44k,6985 +torch/_inductor/kernel/mm_plus_mm.py,sha256=Sw5Ar90zjmijfFzlYFZwYqkVeK36blb9765BCioZCEk,7517 +torch/_inductor/kernel/unpack_mixed_mm.py,sha256=ojD_zKeWn1rWDKaU0EiBh1oP6UwvKf93O9FZQadEGcY,2874 +torch/_inductor/lowering.py,sha256=jjSBaK9-dko_gXNCQiTNtdrnjACej4GP_4fx2RKoACI,176087 +torch/_inductor/metrics.py,sha256=pOse3Ct1OpoAaCZy38cvPneiYLWXy4L9whZ3k3DVHPo,4882 +torch/_inductor/optimize_indexing.py,sha256=8LFuqUBbTwSF3P2bU3YtTwx2KpEcMqfEPax3mm3Wbb4,3903 +torch/_inductor/pattern_matcher.py,sha256=KJQWYQqmbU7rawNdLfxk-GUXg2YwiiXBRv6CRq-y4I4,45945 +torch/_inductor/quantized_lowerings.py,sha256=Tk_zvxnP-u1G7lVRoCqJKL-Z7SqlaE3W346PMDPRu-E,260 +torch/_inductor/scheduler.py,sha256=WJ2TPKBk32tYX0EWJYiQqG6eyrtAO2PynF4CyWMICYA,87514 +torch/_inductor/select_algorithm.py,sha256=Y3UL5A1q5xcKvkT6oKUpw4dUwsxJ_cD4saXTGoC7QOk,34193 +torch/_inductor/sizevars.py,sha256=hDlIj3bM9UrS6FNAhVlkOmv6unqQdoYze0hbewE-WSs,23464 +torch/_inductor/test_operators.py,sha256=IjNmySY0kOChvkw2wNUdeL9Jb1FeKOaG55gzWcBzFME,683 +torch/_inductor/triton_helpers.py,sha256=2RFsCgXPgJSNtpzTKlNfcnODqfNNsZhtnuciZO4owwA,4235 +torch/_inductor/triton_heuristics.py,sha256=c9GA18CVChm_eMdfHLMTpDy_jyEkrhOG5eaO21VXJAI,47198 +torch/_inductor/utils.py,sha256=-6J63fTv1VBEusNk-ROs1CMjSDLluWnLoIhuE2spBdg,36735 +torch/_inductor/virtualized.py,sha256=fHC8ZoJ-sGGumnxKfwG3mPCf3P4iZyUMbhZTxtt6K94,10191 +torch/_inductor/wrapper_benchmark.py,sha256=SDA5FVgm3Cmenq3kcPqYjkVPquc8lP9oP65h7Q7QCK8,9980 +torch/_jit_internal.py,sha256=NM_ORavbiScXcVCvGYdj1pvX-yJS2ZfegkwtCB2ujwA,53092 +torch/_lazy/__init__.py,sha256=uk4bZGomSx86buW23tDHja_YDiltka2O_0d4r_Y5czg,1783 +torch/_lazy/__pycache__/__init__.cpython-310.pyc,, +torch/_lazy/__pycache__/closure.cpython-310.pyc,, +torch/_lazy/__pycache__/computation.cpython-310.pyc,, +torch/_lazy/__pycache__/config.cpython-310.pyc,, +torch/_lazy/__pycache__/debug.cpython-310.pyc,, +torch/_lazy/__pycache__/device_context.cpython-310.pyc,, +torch/_lazy/__pycache__/extract_compiled_graph.cpython-310.pyc,, +torch/_lazy/__pycache__/ir_cache.cpython-310.pyc,, +torch/_lazy/__pycache__/metrics.cpython-310.pyc,, +torch/_lazy/__pycache__/tensor_factory_functions.cpython-310.pyc,, +torch/_lazy/__pycache__/ts_backend.cpython-310.pyc,, +torch/_lazy/closure.py,sha256=x1Iw3ZaCZsLxSujryyJUC6ukWN3YGS17y0VQ0tJpnxQ,5417 +torch/_lazy/computation.py,sha256=laFgh2GfhgilLlUyrgGKNsr8aRfazlRnvPgftR7FB-M,892 +torch/_lazy/config.py,sha256=-IGAjlKzrMyhYMrDPYM8gPtXw1TD9wIBaDi5eXpqWdk,420 +torch/_lazy/debug.py,sha256=TbMsvBvhmQnA6lXkxH_o28gowh6y6SaueN0IIcToBik,711 +torch/_lazy/device_context.py,sha256=8xrnkY0TEHJhmYcWAe_D3PSXpEWqxhtlCim2JnV18Qc,634 +torch/_lazy/extract_compiled_graph.py,sha256=oxP2tewUmtzdR2O0mjdNKDGjl6KginjZSnYhY_5ObYk,8407 +torch/_lazy/ir_cache.py,sha256=Nrg1FSUfERhjLSh8JVfKRLxV4LqE-gnJbTCHZiNlnr0,321 +torch/_lazy/metrics.py,sha256=86HmoSDv-S_tiJB1fNYrGVhRF0hH9CDIfyR1i8p-BwE,518 +torch/_lazy/tensor_factory_functions.py,sha256=wHMqBuDC4QG-jntdqJzJaQ1WGyc1gBpMpGbK5oHOkh4,1367 +torch/_lazy/ts_backend.py,sha256=q9_bt2_isGm0LwMx7KLd0i5qj-28e5O8ghV48Ka9TcU,136 +torch/_library/__init__.py,sha256=lJY-8KHDPGj2k2R75rtC6A09haAnvVpQl6ZV_ejKPAA,102 +torch/_library/__pycache__/__init__.cpython-310.pyc,, +torch/_library/__pycache__/abstract_impl.cpython-310.pyc,, +torch/_library/__pycache__/simple_registry.cpython-310.pyc,, +torch/_library/__pycache__/utils.cpython-310.pyc,, +torch/_library/abstract_impl.py,sha256=ZQQbpezphiHQWJvlDnC6FZDog6KQXzHKEVqo6CjB11g,7852 +torch/_library/simple_registry.py,sha256=_vAPir_gU4mrvdxP4-aq7jCAK5sumw2w8PzlNE9vO88,1394 +torch/_library/utils.py,sha256=SsYIY3PVnl8cuKyNIx0AytsxRl01sITet7m3EQNX-PY,2514 +torch/_linalg_utils.py,sha256=Bb6feV4AlnxXdEjR5Goq6F3-8k4YBLs0rds_sjS7rfQ,5584 +torch/_lobpcg.py,sha256=Mp2EEqloWg_EWcWwLWDigmZ7Hi4yzb0da3XW6B1Dr8Y,43733 +torch/_logging/__init__.py,sha256=fysgriazeK3SxI461Roar_B3-OO7RtJlmkFaddCjLCc,716 +torch/_logging/__pycache__/__init__.cpython-310.pyc,, +torch/_logging/__pycache__/_internal.cpython-310.pyc,, +torch/_logging/__pycache__/_registrations.cpython-310.pyc,, +torch/_logging/_internal.py,sha256=KDtpKWY22B5MacLgVgB0YFshpPsrTJgdFD6DUMN3IVI,28113 +torch/_logging/_registrations.py,sha256=9-Qv_LW9oD9loSqgI5J_oYbAmY8XAqSydv1Fddg3ZeM,4144 +torch/_lowrank.py,sha256=zZnCdDgx0QSmb-NozGXNgZ2Jsr4Bhf3OthXsnaONokw,10896 +torch/_meta_registrations.py,sha256=RxOCGu6H9vYviQDuGwZjj9nsTU1nTt-ULdgmh6D9M1g,191317 +torch/_namedtensor_internals.py,sha256=nXh_9wpKz9XuqXhHMMOkJ1qPpxwHovdmo-lNx0s1nj8,5262 +torch/_numpy/__init__.py,sha256=n5rjF-fPLRZD5KAJYHk-Ov1oKZ3c_0mXxD_kAp8O6rs,534 +torch/_numpy/__pycache__/__init__.cpython-310.pyc,, +torch/_numpy/__pycache__/_binary_ufuncs_impl.cpython-310.pyc,, +torch/_numpy/__pycache__/_casting_dicts.cpython-310.pyc,, +torch/_numpy/__pycache__/_dtypes.cpython-310.pyc,, +torch/_numpy/__pycache__/_dtypes_impl.cpython-310.pyc,, +torch/_numpy/__pycache__/_funcs.cpython-310.pyc,, +torch/_numpy/__pycache__/_funcs_impl.cpython-310.pyc,, +torch/_numpy/__pycache__/_getlimits.cpython-310.pyc,, +torch/_numpy/__pycache__/_ndarray.cpython-310.pyc,, +torch/_numpy/__pycache__/_normalizations.cpython-310.pyc,, +torch/_numpy/__pycache__/_reductions_impl.cpython-310.pyc,, +torch/_numpy/__pycache__/_ufuncs.cpython-310.pyc,, +torch/_numpy/__pycache__/_unary_ufuncs_impl.cpython-310.pyc,, +torch/_numpy/__pycache__/_util.cpython-310.pyc,, +torch/_numpy/__pycache__/fft.cpython-310.pyc,, +torch/_numpy/__pycache__/linalg.cpython-310.pyc,, +torch/_numpy/__pycache__/random.cpython-310.pyc,, +torch/_numpy/_binary_ufuncs_impl.py,sha256=TiZ9m1Tei84nnA7aZ1h8Zkb0BmZI066qEPqdyDrrU28,2395 +torch/_numpy/_casting_dicts.py,sha256=M_HAXKpdlnQiKWcbWOJnKn9n-YoOqOlfZnBzPczynos,26830 +torch/_numpy/_dtypes.py,sha256=guISu_naO5v2YvIMkvWw-l4xN7iFCvuk3_Ch3KobRpg,9528 +torch/_numpy/_dtypes_impl.py,sha256=VhRxkc7ONtVPXps8icT1vhCHKTbsOQmklfryD6fsR9A,5883 +torch/_numpy/_funcs.py,sha256=VAmQlSp4SiHakcy8luS62Qx7pSsNfzBsUZjm__aaVO0,2073 +torch/_numpy/_funcs_impl.py,sha256=p7qyg0Wxbo2mTZ8OX1asGAJMgcf8Hyl24LBq6tdHF8Q,59054 +torch/_numpy/_getlimits.py,sha256=HYvggjJhJRjFTLa-zlkt0ox5sFk-tiY2p36zMmEzVt0,246 +torch/_numpy/_ndarray.py,sha256=GfsCyKojmpNawFJpnGRKYR8KEhJtNr_xbwucSSVRlDM,15649 +torch/_numpy/_normalizations.py,sha256=EGTMhKHHm1xSTK_WhfNZolhEluBJhtqcfWNiZOEWpaY,8062 +torch/_numpy/_reductions_impl.py,sha256=LCIg9gU4p8WsZCiWKvPrnkn_0qaRpz9wORhVsOKgRXo,11710 +torch/_numpy/_ufuncs.py,sha256=fyDkNwMJJXfNExHEuK6I9Dpbvvh-s7zm3yf1T59vBrg,8343 +torch/_numpy/_unary_ufuncs_impl.py,sha256=-X2FQCnKaVF37FLTpHvWokGW_y-tUZsaTl5M7iFNAIs,1727 +torch/_numpy/_util.py,sha256=BjqXdiQr39miycqW9bi2Toa9wVtc18d0fDdYHd0sf9E,7526 +torch/_numpy/fft.py,sha256=lCXodpG3t1bbdLy7kQu0w_iD0XtfN68fHDKddasUmDY,2782 +torch/_numpy/linalg.py,sha256=8-L6QYi3TRIpmN7PoBZL1_UyxbgGkXRv6NKKxbMGZHI,5561 +torch/_numpy/random.py,sha256=Vn_bpgXVEtooJrguj4GP6rOEd3yEq_6D-_O95LrJqyk,4627 +torch/_numpy/testing/__init__.py,sha256=8kaIYg_y0CENxgXpJBGs0g1rYWsrgboet9a3bLWUC04,351 +torch/_numpy/testing/__pycache__/__init__.cpython-310.pyc,, +torch/_numpy/testing/__pycache__/utils.cpython-310.pyc,, +torch/_numpy/testing/utils.py,sha256=NHdsAkrELLapMoenPVtsvK8tQ2U7dD_IT8tQb7kBfRQ,76329 +torch/_ops.py,sha256=8Gx9SMXm-tBdbzEzbTSJx-nhJ2xjS6oXomDA6tlspF0,38231 +torch/_prims/__init__.py,sha256=LKuW9mvhzTX6281b7t7hbPmLq_sy08DK0YgtvCMk4Kg,82042 +torch/_prims/__pycache__/__init__.cpython-310.pyc,, +torch/_prims/__pycache__/context.cpython-310.pyc,, +torch/_prims/__pycache__/debug_prims.cpython-310.pyc,, +torch/_prims/__pycache__/executor.cpython-310.pyc,, +torch/_prims/__pycache__/rng_prims.cpython-310.pyc,, +torch/_prims/context.py,sha256=xWZb2445zAMfbIDF3mlHASnYnrFo5vD7MbPlSda7UWU,5459 +torch/_prims/debug_prims.py,sha256=ptaMADuozMzb-xGuj38Wk5FMEoQ1b_nxpCcFIC1rmO4,1952 +torch/_prims/executor.py,sha256=FEaP11kQBEpc9ztfHMPqRA_RWXzVwLTwxMXWTFgOLjM,1637 +torch/_prims/rng_prims.py,sha256=oLyd9V5Jh4g7JopQdPuw2tGLvvQ7ZwdHm_kkHecQ2fg,9760 +torch/_prims_common/__init__.py,sha256=bzhf4aCxT3JHiTmofc3Y1JJayqcBBnc3WBCx0X17QwM,63117 +torch/_prims_common/__pycache__/__init__.cpython-310.pyc,, +torch/_prims_common/__pycache__/wrappers.cpython-310.pyc,, +torch/_prims_common/wrappers.py,sha256=oaWw1aaMDYMbpQfIM-jjER4yLRm3b4R_0bgj0I21M-M,15104 +torch/_python_dispatcher.py,sha256=I6xmFG2xqLKsbGlTCi0xG2YOfimXRV3ZgBQrDA6Wv9w,7100 +torch/_refs/__init__.py,sha256=Uucu8MoxXGNfehO6i0rf88_CTB3F8KsswcImIJcl_dA,201243 +torch/_refs/__pycache__/__init__.cpython-310.pyc,, +torch/_refs/__pycache__/_conversions.cpython-310.pyc,, +torch/_refs/__pycache__/fft.cpython-310.pyc,, +torch/_refs/_conversions.py,sha256=ctcO4gAxqCsrQBCnoFW6XLKKjhXUn_jJ3BGyKnYIpJ4,3506 +torch/_refs/fft.py,sha256=jQv4QFfRr8yrTYVy4mehaqXEHeiGHVUB9QzU91Pj_B8,17871 +torch/_refs/linalg/__init__.py,sha256=bX9sIBErD3pFc7OlLKZGZMmT8bsr3Izi-kzW95EBi68,9395 +torch/_refs/linalg/__pycache__/__init__.cpython-310.pyc,, +torch/_refs/nn/__init__.py,sha256=TxVn7Qjs3VBg36A_3dasco_AQPZtK4HebdViKMirE8U,49 +torch/_refs/nn/__pycache__/__init__.cpython-310.pyc,, +torch/_refs/nn/functional/__init__.py,sha256=R7NW5ZSd0LmowA9ij2ehbaTSSyPMFAnf-8xKmMAL3Rk,38903 +torch/_refs/nn/functional/__pycache__/__init__.cpython-310.pyc,, +torch/_refs/special/__init__.py,sha256=7XuQ5v7CjsbLVojE-mA8JMHjzhsBpmuUaecjZk-2fvc,6757 +torch/_refs/special/__pycache__/__init__.cpython-310.pyc,, +torch/_sources.py,sha256=U9_HOKzQEQKKMCzrmJGNhaKZnZqkdr-RSQfVruKf9hc,4427 +torch/_storage_docs.py,sha256=jKGkTbLwKBnvNerLtg-mQ2CN71nKMp9C9EQ6hV1Gp7o,1357 +torch/_streambase.py,sha256=Y3UJ6dftcI_RhX1_33KR4nA-0P0LiFwSNrl1AQqwKMA,1027 +torch/_subclasses/__init__.py,sha256=5F35O3CJ9XnkaHcD8NWjnNVGGw5WabjXSUy-UdlpXOE,376 +torch/_subclasses/__pycache__/__init__.cpython-310.pyc,, +torch/_subclasses/__pycache__/fake_tensor.cpython-310.pyc,, +torch/_subclasses/__pycache__/fake_utils.cpython-310.pyc,, +torch/_subclasses/__pycache__/functional_tensor.cpython-310.pyc,, +torch/_subclasses/__pycache__/meta_utils.cpython-310.pyc,, +torch/_subclasses/__pycache__/schema_check_mode.cpython-310.pyc,, +torch/_subclasses/fake_tensor.py,sha256=JDqPgDxUYcV76l1rGkHeOh1aXv_Ul4gM8TKRVZ-zJXs,76104 +torch/_subclasses/fake_utils.py,sha256=NL2yY96EzvIuoDOLquPKlaTDtwXEG5nJYtQu9f1DueY,7178 +torch/_subclasses/functional_tensor.py,sha256=_wRpPkD0MvlF60cm83Vp_lZMFr-j9RHr-HS0MEkkTvk,23157 +torch/_subclasses/meta_utils.py,sha256=VNd-3TavlRV_F8-ww33BUs29WNmu04TSNv2kjsmiNQI,35173 +torch/_subclasses/schema_check_mode.py,sha256=eBk2ag6s4hu11J_raQ_wPi2yCHzAKj2qrCx2gytoopI,7867 +torch/_tensor.py,sha256=SIBbodMR6xbb1zF7zTMxrJc__z5U0zHFk0RwMfwdhkk,60423 +torch/_tensor_docs.py,sha256=td156kx-LKso70hI03v5tCkZ99XVEqPSs7xTpbgmFxs,141333 +torch/_tensor_str.py,sha256=or3g8xrygMM_W5mIG51f_hgaQzQMJsZHSTP1EHkcFy0,26045 +torch/_torch_docs.py,sha256=7YuP1iYJTDBnQvAwOKcH0ZO-gXu1PiXHR3Y_Vp11llU,414494 +torch/_utils.py,sha256=OQvgke2bU_9WIBU12Ex9_KV0hryN2FJpdy4Cqx9KGcM,33915 +torch/_utils_internal.py,sha256=W0-gjggfpbQ3nGS-ZecwCQNpAz2YDKWOIddp6e_BzFw,3254 +torch/_vendor/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/_vendor/__pycache__/__init__.cpython-310.pyc,, +torch/_vendor/packaging/__init__.py,sha256=EhCMuCSz60IgQJ93b_4wJyAoHpU9J-uddG4QaMT0Pu4,496 +torch/_vendor/packaging/__pycache__/__init__.cpython-310.pyc,, +torch/_vendor/packaging/__pycache__/_structures.cpython-310.pyc,, +torch/_vendor/packaging/__pycache__/version.cpython-310.pyc,, +torch/_vendor/packaging/_structures.py,sha256=q3eVNmbWJGG_S0Dit_S3Ao8qQqz_5PYTXFAKBZe5yr4,1431 +torch/_vendor/packaging/version.py,sha256=XjRBLNK17UMDgLeP8UHnqwiY3TdSi03xFQURtec211A,16236 +torch/_vmap_internals.py,sha256=lpd8jyO1Pwa_YV6zeZJpyfTKBBzvycKQ7KGpxzdHAg8,9389 +torch/_weights_only_unpickler.py,sha256=8_JzwPxjlK46rb4lEuaRrj8CYSAtHaMPCfSQlyXzDBs,11140 +torch/amp/__init__.py,sha256=RiEFl2Vx-IcDzUncvfaebVEN4FWyjLgldqvPZOB1ZtA,69 +torch/amp/__pycache__/__init__.cpython-310.pyc,, +torch/amp/__pycache__/autocast_mode.cpython-310.pyc,, +torch/amp/autocast_mode.py,sha256=aeSnJaRHaLVGhIRIBc5TLrizEMsO3yEE_oMhL8jSRNs,21085 +torch/ao/__init__.py,sha256=INOQ09eBUwDXyrxNdFfTvgzdfo3863Tmn08Cu3IkdnU,398 +torch/ao/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/__init__.py,sha256=3sqxlA4O5j1F-qm4NubHku39ZHqO1nYUprp_nRbOgKw,499 +torch/ao/nn/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/intrinsic/__init__.py,sha256=08XXgRazQXLNtUUn9kUgBpebemIBZJqwaJ9WKUi7WN8,919 +torch/ao/nn/intrinsic/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/intrinsic/modules/__init__.py,sha256=sTYCkbIbcGxUiQAz2-QyNH8I3BnUQ3jflkmKA9RPr-k,883 +torch/ao/nn/intrinsic/modules/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/intrinsic/modules/__pycache__/fused.cpython-310.pyc,, +torch/ao/nn/intrinsic/modules/fused.py,sha256=SCZ0xDLRpYQhapDYnzP_Zv-v4hMg_kZeUa5VHfkselQ,9370 +torch/ao/nn/intrinsic/qat/__init__.py,sha256=M0iylhjuqtPcbO2pAVdDg9n9e1ET359nQ9txOEErmMo,37 +torch/ao/nn/intrinsic/qat/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/intrinsic/qat/modules/__init__.py,sha256=k99vQqwhgrdNcCFhUs9xb82U_Y1G4LCTbkZJ3gaEgNI,546 +torch/ao/nn/intrinsic/qat/modules/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/intrinsic/qat/modules/__pycache__/conv_fused.cpython-310.pyc,, +torch/ao/nn/intrinsic/qat/modules/__pycache__/linear_fused.cpython-310.pyc,, +torch/ao/nn/intrinsic/qat/modules/__pycache__/linear_relu.cpython-310.pyc,, +torch/ao/nn/intrinsic/qat/modules/conv_fused.py,sha256=lX1c_GDLbSdF1bDvlocXdjJBCr3CFnwWY0KpQNMlS00,29506 +torch/ao/nn/intrinsic/qat/modules/linear_fused.py,sha256=3wXuBLYU-UB8hDIAbbSK5ujT4kSYUnrnMJh5WlFfHkY,6293 +torch/ao/nn/intrinsic/qat/modules/linear_relu.py,sha256=_1_JdJUqQpT71r79lTGlVeGr2QzwpBGhPqfd3RU44Ps,1562 +torch/ao/nn/intrinsic/quantized/__init__.py,sha256=O3rBvt2CAwEO2NsKTgloNap0AovxGVyvbwJ1wKwDNaU,235 +torch/ao/nn/intrinsic/quantized/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/intrinsic/quantized/dynamic/__init__.py,sha256=M0iylhjuqtPcbO2pAVdDg9n9e1ET359nQ9txOEErmMo,37 +torch/ao/nn/intrinsic/quantized/dynamic/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/intrinsic/quantized/dynamic/modules/__init__.py,sha256=WXj7xEgWXEBFBM_KR3XB6HkVPWj6ZO1wtrgY2XoRinw,82 +torch/ao/nn/intrinsic/quantized/dynamic/modules/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/intrinsic/quantized/dynamic/modules/__pycache__/linear_relu.cpython-310.pyc,, +torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py,sha256=5y4lGL-DKqHPwCLFuq6mTusos51VnQXP9b7srO9ASpI,1840 +torch/ao/nn/intrinsic/quantized/modules/__init__.py,sha256=sZsrH-au4x7UFRPKA0j0jrLtmoNKPVr40f0c0alCmfs,408 +torch/ao/nn/intrinsic/quantized/modules/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/intrinsic/quantized/modules/__pycache__/bn_relu.cpython-310.pyc,, +torch/ao/nn/intrinsic/quantized/modules/__pycache__/conv_add.cpython-310.pyc,, +torch/ao/nn/intrinsic/quantized/modules/__pycache__/conv_relu.cpython-310.pyc,, +torch/ao/nn/intrinsic/quantized/modules/__pycache__/linear_relu.cpython-310.pyc,, +torch/ao/nn/intrinsic/quantized/modules/bn_relu.py,sha256=dSnzUSWGvL2UcmiqaPec-dbTRMIGPU7Tj7-vqFl1ExQ,2781 +torch/ao/nn/intrinsic/quantized/modules/conv_add.py,sha256=CtrJYoI7RlvDW0UDi5WWBrvoWvST9IGiNPOdEjTxdsw,3700 +torch/ao/nn/intrinsic/quantized/modules/conv_relu.py,sha256=36ljh-cAlnSP0NFKwgqAEIEmFE9VKwC7-WBbFxA6_z4,7275 +torch/ao/nn/intrinsic/quantized/modules/linear_relu.py,sha256=0VN8UjEZNKY2_GmMJcd1o6xE7-jzNZ67Ezg7hX5IqXY,6477 +torch/ao/nn/qat/__init__.py,sha256=M0iylhjuqtPcbO2pAVdDg9n9e1ET359nQ9txOEErmMo,37 +torch/ao/nn/qat/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/qat/dynamic/__init__.py,sha256=M0iylhjuqtPcbO2pAVdDg9n9e1ET359nQ9txOEErmMo,37 +torch/ao/nn/qat/dynamic/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/qat/dynamic/modules/__init__.py,sha256=juJpue0ixFC8Vq3-HlcHdDRBPTd7H2jLGvdyQFwQzgk,49 +torch/ao/nn/qat/dynamic/modules/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/qat/dynamic/modules/__pycache__/linear.cpython-310.pyc,, +torch/ao/nn/qat/dynamic/modules/linear.py,sha256=-AvvsVe06MGrW7UjrOru7AIH-7rL5KSThePrEjlsplE,933 +torch/ao/nn/qat/modules/__init__.py,sha256=BQBQxFIl4cZ2EExGYlcrCoNXkS9LaVBjim_Arr48f34,261 +torch/ao/nn/qat/modules/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/qat/modules/__pycache__/conv.cpython-310.pyc,, +torch/ao/nn/qat/modules/__pycache__/embedding_ops.cpython-310.pyc,, +torch/ao/nn/qat/modules/__pycache__/linear.cpython-310.pyc,, +torch/ao/nn/qat/modules/conv.py,sha256=pWZCCbvtNHXcNhpfEJOtY9Mfr2kAeLB8bwaYVV-yBVg,9424 +torch/ao/nn/qat/modules/embedding_ops.py,sha256=7AU2nQyFvnxZ-Ao15lMrs9OVD6WGKIhq0mbn2kDOyL0,7056 +torch/ao/nn/qat/modules/linear.py,sha256=6js1R3a-z4Dd1czTcruTomMUcNZFwL4gHpgW9jck5Tg,2874 +torch/ao/nn/quantizable/__init__.py,sha256=M0iylhjuqtPcbO2pAVdDg9n9e1ET359nQ9txOEErmMo,37 +torch/ao/nn/quantizable/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/quantizable/modules/__init__.py,sha256=DOrFHIHns-vtkT8MLwFMujkq5QsW2XXKu7cjQuxkPZc,160 +torch/ao/nn/quantizable/modules/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/quantizable/modules/__pycache__/activation.cpython-310.pyc,, +torch/ao/nn/quantizable/modules/__pycache__/rnn.cpython-310.pyc,, +torch/ao/nn/quantizable/modules/activation.py,sha256=rXzoIeyHZzFqfw6vbp5_YC4GPAoRBZGwpb2vbU9LPYo,22333 +torch/ao/nn/quantizable/modules/rnn.py,sha256=vnJOSs0FhvY9gFDz7w06r43YUNXbGfuut76wo-g4_TQ,17014 +torch/ao/nn/quantized/__init__.py,sha256=dhO5H4qKeWJIqKbmuJA31y6Jc4_E07_0uZCz2Ut7Eag,685 +torch/ao/nn/quantized/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/quantized/__pycache__/functional.cpython-310.pyc,, +torch/ao/nn/quantized/dynamic/__init__.py,sha256=M0iylhjuqtPcbO2pAVdDg9n9e1ET359nQ9txOEErmMo,37 +torch/ao/nn/quantized/dynamic/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/quantized/dynamic/modules/__init__.py,sha256=99bhbZ0L1o_qTGVoVbx9lAOgA0YKxaeG15QQ9rpUWhU,384 +torch/ao/nn/quantized/dynamic/modules/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/quantized/dynamic/modules/__pycache__/conv.cpython-310.pyc,, +torch/ao/nn/quantized/dynamic/modules/__pycache__/linear.cpython-310.pyc,, +torch/ao/nn/quantized/dynamic/modules/__pycache__/rnn.cpython-310.pyc,, +torch/ao/nn/quantized/dynamic/modules/conv.py,sha256=Yf6EJ_YeTBAWKHBsZNc1Fi7YSapJdWGCp03qm2tQARE,17010 +torch/ao/nn/quantized/dynamic/modules/linear.py,sha256=g_DwYVTXd9VQ2TgG1pnDrTdwN2bxU_GEmfauFQ3TZ4c,6009 +torch/ao/nn/quantized/dynamic/modules/rnn.py,sha256=yu7o2mfbFFYYi8gbnDjaIaBrhJLJMHlBe21GquR8cvM,48232 +torch/ao/nn/quantized/functional.py,sha256=v671LwZVnHlRw8XYHtr4WQY6Pscrd3dETR6QYI1FWxU,29279 +torch/ao/nn/quantized/modules/__init__.py,sha256=chsivZFveuRPqsqH4N9ssaqX7fyKKzcLYKChSuXNvIY,4303 +torch/ao/nn/quantized/modules/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/quantized/modules/__pycache__/activation.cpython-310.pyc,, +torch/ao/nn/quantized/modules/__pycache__/batchnorm.cpython-310.pyc,, +torch/ao/nn/quantized/modules/__pycache__/conv.cpython-310.pyc,, +torch/ao/nn/quantized/modules/__pycache__/dropout.cpython-310.pyc,, +torch/ao/nn/quantized/modules/__pycache__/embedding_ops.cpython-310.pyc,, +torch/ao/nn/quantized/modules/__pycache__/functional_modules.cpython-310.pyc,, +torch/ao/nn/quantized/modules/__pycache__/linear.cpython-310.pyc,, +torch/ao/nn/quantized/modules/__pycache__/normalization.cpython-310.pyc,, +torch/ao/nn/quantized/modules/__pycache__/rnn.cpython-310.pyc,, +torch/ao/nn/quantized/modules/__pycache__/utils.cpython-310.pyc,, +torch/ao/nn/quantized/modules/activation.py,sha256=P4z9ADyV5IZA14kZDr6WRg6K-hLZOLKeXZXi4_Pev9Q,11291 +torch/ao/nn/quantized/modules/batchnorm.py,sha256=GzaWkcRMZzFtXe6gpxvdwE2aLuJn77pXsK_khKMwmtI,3915 +torch/ao/nn/quantized/modules/conv.py,sha256=bPZO--bhBqyRhQbIvQZl7p-GY6QKDqdbT3cp4o7SSeU,39371 +torch/ao/nn/quantized/modules/dropout.py,sha256=OOxmrr90-PmGaEiGSEoh8LUBMG5rGcsKNn18SII058Y,743 +torch/ao/nn/quantized/modules/embedding_ops.py,sha256=OgMNDVtNS_PmhDQBIHqm9vQ_FCTNUoTqmSVNkkF6axo,13538 +torch/ao/nn/quantized/modules/functional_modules.py,sha256=rdNLyeC_860zJGZiUjsUnE_Iwc7M0uTocD_rOFOxuGQ,9013 +torch/ao/nn/quantized/modules/linear.py,sha256=PpZQRtLyHxzy8q5xHI8Syoz3dO3ZsYHVOXPU0NX7o6U,12586 +torch/ao/nn/quantized/modules/normalization.py,sha256=k9YO8peFeJPsJ21x0aTmCwIEbR7UzKp7qwFXld5a0sw,8081 +torch/ao/nn/quantized/modules/rnn.py,sha256=gHcxB6ouwwYLOIhY8p9_rVRSsaPRtuYdYSB_bS7fmbg,1812 +torch/ao/nn/quantized/modules/utils.py,sha256=ICfmRM2bnvZzGJmEiZ0vaLoSjaKJkA9tDUPOaI30NcM,4579 +torch/ao/nn/quantized/reference/__init__.py,sha256=hfW9rcoKb1oV77KPD3samTqjHeCr3_b3Ww2ugN0bbYs,283 +torch/ao/nn/quantized/reference/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/quantized/reference/modules/__init__.py,sha256=xgZZdRMMIQzFeTjpIAkhOmHdg0ORESL0HTw2Vt6lzDA,464 +torch/ao/nn/quantized/reference/modules/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/quantized/reference/modules/__pycache__/conv.cpython-310.pyc,, +torch/ao/nn/quantized/reference/modules/__pycache__/linear.cpython-310.pyc,, +torch/ao/nn/quantized/reference/modules/__pycache__/rnn.cpython-310.pyc,, +torch/ao/nn/quantized/reference/modules/__pycache__/sparse.cpython-310.pyc,, +torch/ao/nn/quantized/reference/modules/__pycache__/utils.cpython-310.pyc,, +torch/ao/nn/quantized/reference/modules/conv.py,sha256=TBiwQIM4WU9kj4ZnMPtzESuhdPzUb2aoVXSdEn_XBt4,13459 +torch/ao/nn/quantized/reference/modules/linear.py,sha256=E5Vd3Cud4gWfUv4xL-G4QwnH8V1mbogan5-McvlxbHc,2183 +torch/ao/nn/quantized/reference/modules/rnn.py,sha256=a0IXcSMNpGJKGrWff4f-9MPMKKdR6pVb6BaDQaEH-C0,27004 +torch/ao/nn/quantized/reference/modules/sparse.py,sha256=8bCZNxGaRh1-o7KoxF55Q_pLesuIsWwO37GK08OvYpU,4192 +torch/ao/nn/quantized/reference/modules/utils.py,sha256=u55Ovxl4__UvT-9fyLBMVNKPmOdAUPQUQNzV4292Dzg,14295 +torch/ao/nn/sparse/__init__.py,sha256=PfB-tgPOelyV_0eb_ipJK4LzPHwB5Z-wfJXeE_O3AK4,24 +torch/ao/nn/sparse/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/sparse/quantized/__init__.py,sha256=KLvIbffZ6qZTRFGIl0Exw6hChjE107oSFy-ttvyJ7kE,186 +torch/ao/nn/sparse/quantized/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/sparse/quantized/__pycache__/linear.cpython-310.pyc,, +torch/ao/nn/sparse/quantized/__pycache__/utils.cpython-310.pyc,, +torch/ao/nn/sparse/quantized/dynamic/__init__.py,sha256=PRt6lakWjibZNw_RaC826K3mGgh0L_aBBFvCxmOEWLY,56 +torch/ao/nn/sparse/quantized/dynamic/__pycache__/__init__.cpython-310.pyc,, +torch/ao/nn/sparse/quantized/dynamic/__pycache__/linear.cpython-310.pyc,, +torch/ao/nn/sparse/quantized/dynamic/linear.py,sha256=5hfa3b4oZ59A7EWHqDZu3uX1FYQasc0qWYqXmVI3uAI,6036 +torch/ao/nn/sparse/quantized/linear.py,sha256=RczzqKOt8JX_0oTIeNxwYHDBxhD-1rwEd0C4lOPX0n4,8560 +torch/ao/nn/sparse/quantized/utils.py,sha256=fEymFv9ovReG1hc-Y04syp-eH90UAedEBnc6qC10szQ,1716 +torch/ao/ns/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/ao/ns/__pycache__/__init__.cpython-310.pyc,, +torch/ao/ns/__pycache__/_numeric_suite.cpython-310.pyc,, +torch/ao/ns/__pycache__/_numeric_suite_fx.cpython-310.pyc,, +torch/ao/ns/_numeric_suite.py,sha256=jkqg8bgKBnS6i0D5G54ayLQHjBAF__qSq67xYl32kYM,19527 +torch/ao/ns/_numeric_suite_fx.py,sha256=a78IrQ6ViY0-TQ24kNZ44Re73DIbnmG1Aa5wO4Pcc9U,40669 +torch/ao/ns/fx/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/ao/ns/fx/__pycache__/__init__.cpython-310.pyc,, +torch/ao/ns/fx/__pycache__/graph_matcher.cpython-310.pyc,, +torch/ao/ns/fx/__pycache__/graph_passes.cpython-310.pyc,, +torch/ao/ns/fx/__pycache__/mappings.cpython-310.pyc,, +torch/ao/ns/fx/__pycache__/n_shadows_utils.cpython-310.pyc,, +torch/ao/ns/fx/__pycache__/ns_types.cpython-310.pyc,, +torch/ao/ns/fx/__pycache__/pattern_utils.cpython-310.pyc,, +torch/ao/ns/fx/__pycache__/qconfig_multi_mapping.cpython-310.pyc,, +torch/ao/ns/fx/__pycache__/utils.cpython-310.pyc,, +torch/ao/ns/fx/__pycache__/weight_utils.cpython-310.pyc,, +torch/ao/ns/fx/graph_matcher.py,sha256=9XQra_I_8yhUynA064VRmmKDnRqn4NBqNeY9xMPNDmM,19229 +torch/ao/ns/fx/graph_passes.py,sha256=pPcDjsoyCuRHj3Pyk9YPiIaIs1ZEdeSKTY60RiIdsrU,40630 +torch/ao/ns/fx/mappings.py,sha256=Pd81Elf46aNYvVPkWj9Vaj6bvo_CuJLRURXV0n4wOuQ,18260 +torch/ao/ns/fx/n_shadows_utils.py,sha256=uNAu8y_7_OHVkS9iX1jA5n-hmdDiDuVNpU9rFJao87w,50012 +torch/ao/ns/fx/ns_types.py,sha256=ao4-hZJNKzPW6HzqJy7ilGNkYHikUFhd14dBgOEP_0A,2355 +torch/ao/ns/fx/pattern_utils.py,sha256=KLZ6dO_7u8OkCkhDSE_u3lkmaMIDSWH4dOdprpc1tFs,8284 +torch/ao/ns/fx/qconfig_multi_mapping.py,sha256=2KJI4iwvBuG5FBNs2LCNTf4JJR2LUi2l1sY_4MQbLyI,10076 +torch/ao/ns/fx/utils.py,sha256=afyCOS83FvOJeE78AlusNaXTvno5_nyQ0GuvEVLc6Ck,20536 +torch/ao/ns/fx/weight_utils.py,sha256=Sz6gc8gC_C-P3LuMLcZSfMxxCBFTtkO_SQcVCf9Do6o,11225 +torch/ao/pruning/__init__.py,sha256=qUqyaa2zDF9bM4l8suXQw6WfDSQ5nbQM7nodu59PiU4,715 +torch/ao/pruning/__pycache__/__init__.cpython-310.pyc,, +torch/ao/pruning/__pycache__/_mappings.cpython-310.pyc,, +torch/ao/pruning/_experimental/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/ao/pruning/_experimental/__pycache__/__init__.cpython-310.pyc,, +torch/ao/pruning/_experimental/activation_sparsifier/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/ao/pruning/_experimental/activation_sparsifier/__pycache__/__init__.cpython-310.pyc,, +torch/ao/pruning/_experimental/activation_sparsifier/__pycache__/activation_sparsifier.cpython-310.pyc,, +torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py,sha256=1S6BZ2lEMWuxI_2u3tuYbrNhWZCoMmRlgrdeXK7Svp4,18186 +torch/ao/pruning/_experimental/data_scheduler/__init__.py,sha256=BPYua3ba-QGK8fmcEOxzMkRUdQ6qaKxqIO1vh4_EWq4,91 +torch/ao/pruning/_experimental/data_scheduler/__pycache__/__init__.cpython-310.pyc,, +torch/ao/pruning/_experimental/data_scheduler/__pycache__/base_data_scheduler.cpython-310.pyc,, +torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py,sha256=yiQmmbiqI0DTjBm93buZUKVg0AkrtfbAbQA8R8VcBOA,7409 +torch/ao/pruning/_experimental/data_sparsifier/__init__.py,sha256=CDr9hH7eg9bmbrdFM2E_COpX4eP8IkGOpaQeONAlybs,173 +torch/ao/pruning/_experimental/data_sparsifier/__pycache__/__init__.cpython-310.pyc,, +torch/ao/pruning/_experimental/data_sparsifier/__pycache__/base_data_sparsifier.cpython-310.pyc,, +torch/ao/pruning/_experimental/data_sparsifier/__pycache__/data_norm_sparsifier.cpython-310.pyc,, +torch/ao/pruning/_experimental/data_sparsifier/__pycache__/quantization_utils.cpython-310.pyc,, +torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py,sha256=UR9YJwIYws-vWp9qL0myevN_br0n5DMHm2QFmwxk3mw,13046 +torch/ao/pruning/_experimental/data_sparsifier/data_norm_sparsifier.py,sha256=bmaX6NwgFYnrbl3MzcuLeXgyIbRoz7fTqcBzi4oUTPc,7508 +torch/ao/pruning/_experimental/data_sparsifier/lightning/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/ao/pruning/_experimental/data_sparsifier/lightning/__pycache__/__init__.cpython-310.pyc,, +torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/__pycache__/__init__.cpython-310.pyc,, +torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/__pycache__/_data_sparstity_utils.cpython-310.pyc,, +torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/__pycache__/data_sparsity.cpython-310.pyc,, +torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/_data_sparstity_utils.py,sha256=tmR6vRBR5w-wqbRfJCkDAUSnfAU4vZxN0u5hEZphqVY,1590 +torch/ao/pruning/_experimental/data_sparsifier/lightning/callbacks/data_sparsity.py,sha256=nVc1h_SFnox7is-9pGvRoNLdIPCYY1MJDH5_0ggLlvU,6473 +torch/ao/pruning/_experimental/data_sparsifier/quantization_utils.py,sha256=xnyHv9koYh8kitLTNFAhnVf64sk6ybkXtImzx23WlDA,5966 +torch/ao/pruning/_experimental/pruner/FPGM_pruner.py,sha256=FVpLfSTYfwGycjOkdroSRpsfqcT5iQxC8w48mF5HcVM,3388 +torch/ao/pruning/_experimental/pruner/__init__.py,sha256=xomRxvLKj_PF8JMKHpiJALkJ7w-djJIt1oj5I65bgg0,273 +torch/ao/pruning/_experimental/pruner/__pycache__/FPGM_pruner.cpython-310.pyc,, +torch/ao/pruning/_experimental/pruner/__pycache__/__init__.cpython-310.pyc,, +torch/ao/pruning/_experimental/pruner/__pycache__/base_structured_sparsifier.cpython-310.pyc,, +torch/ao/pruning/_experimental/pruner/__pycache__/lstm_saliency_pruner.cpython-310.pyc,, +torch/ao/pruning/_experimental/pruner/__pycache__/match_utils.cpython-310.pyc,, +torch/ao/pruning/_experimental/pruner/__pycache__/parametrization.cpython-310.pyc,, +torch/ao/pruning/_experimental/pruner/__pycache__/prune_functions.cpython-310.pyc,, +torch/ao/pruning/_experimental/pruner/__pycache__/saliency_pruner.cpython-310.pyc,, +torch/ao/pruning/_experimental/pruner/base_structured_sparsifier.py,sha256=21i9_mY_EtXDhnIXS3gFFw2s4-VmeIjEjvH7foyOBt4,10824 +torch/ao/pruning/_experimental/pruner/lstm_saliency_pruner.py,sha256=hJ9jyKBupBpeApycP-4lxyKkHc6yRYfnP1pCN9m92_o,2050 +torch/ao/pruning/_experimental/pruner/match_utils.py,sha256=yW06wMrPlHzLMoLo6KyL54BRa7rnjzXiD590Sk963_Y,1967 +torch/ao/pruning/_experimental/pruner/parametrization.py,sha256=3cf3ttrmADAziiepuOsfSEwHss33NotJtUo9a7rHyoo,1818 +torch/ao/pruning/_experimental/pruner/prune_functions.py,sha256=-GZuyZmVFG6B7lnDEQiZelBeSbYLmncHgx2HuX7_MZM,18848 +torch/ao/pruning/_experimental/pruner/saliency_pruner.py,sha256=kpx3frbax3zHACH2Pwq_b93nOog-XTCPc0T1bYjrjjY,1327 +torch/ao/pruning/_mappings.py,sha256=kVYJbQw0VjDw1KjKTH6bgX1o2BacpEMjkzlaqiSCdx8,566 +torch/ao/pruning/scheduler/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/ao/pruning/scheduler/__pycache__/__init__.cpython-310.pyc,, +torch/ao/pruning/scheduler/__pycache__/base_scheduler.cpython-310.pyc,, +torch/ao/pruning/scheduler/__pycache__/cubic_scheduler.cpython-310.pyc,, +torch/ao/pruning/scheduler/__pycache__/lambda_scheduler.cpython-310.pyc,, +torch/ao/pruning/scheduler/base_scheduler.py,sha256=klZjQbr5jzSHCmzeWFeWJkWBU0JLRL9sfTNjcm7gBNY,6311 +torch/ao/pruning/scheduler/cubic_scheduler.py,sha256=fXirWwTeIixjh4Vpvzt-4fgjyPb7awM_ixQjQhTC-2c,3873 +torch/ao/pruning/scheduler/lambda_scheduler.py,sha256=fRoa4OTZuuhxwwd9VLtUti5s6e7RHfwfDyy3UB3QjbU,2018 +torch/ao/pruning/sparsifier/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/ao/pruning/sparsifier/__pycache__/__init__.cpython-310.pyc,, +torch/ao/pruning/sparsifier/__pycache__/base_sparsifier.cpython-310.pyc,, +torch/ao/pruning/sparsifier/__pycache__/nearly_diagonal_sparsifier.cpython-310.pyc,, +torch/ao/pruning/sparsifier/__pycache__/utils.cpython-310.pyc,, +torch/ao/pruning/sparsifier/__pycache__/weight_norm_sparsifier.cpython-310.pyc,, +torch/ao/pruning/sparsifier/base_sparsifier.py,sha256=JVlL80Zwjv13u802EzD3yThnnkH4L2hM8hbI6cXqplg,13762 +torch/ao/pruning/sparsifier/nearly_diagonal_sparsifier.py,sha256=tAI5EFoh6JZfolesoyfDuCzSxkjqhhtISXVvWjdMEw8,2189 +torch/ao/pruning/sparsifier/utils.py,sha256=tFKke04D87JFiXX0AAgvWzAAfoj0TxC03HqgZzDG0N0,4786 +torch/ao/pruning/sparsifier/weight_norm_sparsifier.py,sha256=3zVLjEclXFJwsP2YGWYcfFlxdfEIa3-Ep04fycGk_kw,8869 +torch/ao/quantization/__init__.py,sha256=CmpiNzmzpT6h3uyZSj8lG8IRUUh9HGI-pSjw_9YGq0g,6200 +torch/ao/quantization/__pycache__/__init__.cpython-310.pyc,, +torch/ao/quantization/__pycache__/_correct_bias.cpython-310.pyc,, +torch/ao/quantization/__pycache__/_equalize.cpython-310.pyc,, +torch/ao/quantization/__pycache__/_learnable_fake_quantize.cpython-310.pyc,, +torch/ao/quantization/__pycache__/fake_quantize.cpython-310.pyc,, +torch/ao/quantization/__pycache__/fuse_modules.cpython-310.pyc,, +torch/ao/quantization/__pycache__/fuser_method_mappings.cpython-310.pyc,, +torch/ao/quantization/__pycache__/observer.cpython-310.pyc,, +torch/ao/quantization/__pycache__/qconfig.cpython-310.pyc,, +torch/ao/quantization/__pycache__/qconfig_mapping.cpython-310.pyc,, +torch/ao/quantization/__pycache__/quant_type.cpython-310.pyc,, +torch/ao/quantization/__pycache__/quantization_mappings.cpython-310.pyc,, +torch/ao/quantization/__pycache__/quantize.cpython-310.pyc,, +torch/ao/quantization/__pycache__/quantize_fx.cpython-310.pyc,, +torch/ao/quantization/__pycache__/quantize_jit.cpython-310.pyc,, +torch/ao/quantization/__pycache__/quantize_pt2e.cpython-310.pyc,, +torch/ao/quantization/__pycache__/stubs.cpython-310.pyc,, +torch/ao/quantization/__pycache__/utils.cpython-310.pyc,, +torch/ao/quantization/_correct_bias.py,sha256=nWdo5CAg0EPLexTZ6Jehyy85GDQjC8k7GsJ6tCU5zoA,5374 +torch/ao/quantization/_equalize.py,sha256=bZZldTC8zoLDtc-fEeftEwNwvd2bxCbwFyYMlwj1OeE,6954 +torch/ao/quantization/_learnable_fake_quantize.py,sha256=YZ1t157mkK8al8gqAnl01zdxAJPhmmUTIo87TZDRuO0,7532 +torch/ao/quantization/backend_config/__init__.py,sha256=k1xaNCxYKyGefvUWwxgb8eTKKEJh8Z-9XUOeQgDO0S4,889 +torch/ao/quantization/backend_config/__pycache__/__init__.cpython-310.pyc,, +torch/ao/quantization/backend_config/__pycache__/_common_operator_config_utils.cpython-310.pyc,, +torch/ao/quantization/backend_config/__pycache__/_qnnpack_pt2e.cpython-310.pyc,, +torch/ao/quantization/backend_config/__pycache__/backend_config.cpython-310.pyc,, +torch/ao/quantization/backend_config/__pycache__/executorch.cpython-310.pyc,, +torch/ao/quantization/backend_config/__pycache__/fbgemm.cpython-310.pyc,, +torch/ao/quantization/backend_config/__pycache__/native.cpython-310.pyc,, +torch/ao/quantization/backend_config/__pycache__/observation_type.cpython-310.pyc,, +torch/ao/quantization/backend_config/__pycache__/onednn.cpython-310.pyc,, +torch/ao/quantization/backend_config/__pycache__/qnnpack.cpython-310.pyc,, +torch/ao/quantization/backend_config/__pycache__/tensorrt.cpython-310.pyc,, +torch/ao/quantization/backend_config/__pycache__/utils.cpython-310.pyc,, +torch/ao/quantization/backend_config/__pycache__/x86.cpython-310.pyc,, +torch/ao/quantization/backend_config/_common_operator_config_utils.py,sha256=bfN-b8BwxTPeaul2WKUqu5-Y-2MtWyW0sntDOk2wfnc,27073 +torch/ao/quantization/backend_config/_qnnpack_pt2e.py,sha256=SYV4oemlmy_RRxe-0XSpLBQgk33RLChlPrSjTcRgtog,6306 +torch/ao/quantization/backend_config/backend_config.py,sha256=UHIhDNfe6LYlGWWQTjqAnP2ZHtRqdRFp53mheFhWBKA,30465 +torch/ao/quantization/backend_config/executorch.py,sha256=9bjVtmnOhgXUzHT3Xx5FZQiU2Sd1qp5tanRtPZ87Wjk,16953 +torch/ao/quantization/backend_config/fbgemm.py,sha256=358ATueA22LrpHct9AvA-FQrQ2oo6WSC5MTQzsLmcVE,4123 +torch/ao/quantization/backend_config/native.py,sha256=vGnfZqSnUKZpcFRzAmBu4Q3xwC08xFBdzEYqzkYoDKI,8048 +torch/ao/quantization/backend_config/observation_type.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/ao/quantization/backend_config/onednn.py,sha256=IcV1TZWFw6-Chvg8JgILEp-nlVeplJI7pA0qC0MY7FY,19150 +torch/ao/quantization/backend_config/qnnpack.py,sha256=7RvYtsyjrfVs9LDju0srKxzWQzY-4K9K9XNEdQujAao,5339 +torch/ao/quantization/backend_config/tensorrt.py,sha256=vMpWuWEsAMvCcEE-Vv5XHapWMDodxiDuj1Z2QdFc1cc,2883 +torch/ao/quantization/backend_config/utils.py,sha256=QURoq4AjHJHmFIvgsLSnaDewWwVWc22mT_MmwJ7hqGk,12342 +torch/ao/quantization/backend_config/x86.py,sha256=qdEh3Nj2sMY6kUWT3nSJfiRSfBPfeSRMCmQPYbaN3uE,3784 +torch/ao/quantization/fake_quantize.py,sha256=mtfiYKjJddI6Asa1qUy3SDorDzFayFPjXotbAyE9Pic,24762 +torch/ao/quantization/fuse_modules.py,sha256=pAPPD8pLvv7F4QNSTrqPVF07j3FW600PDv6uV1nFc8g,6748 +torch/ao/quantization/fuser_method_mappings.py,sha256=w4ewUiAyeW3awfctTKJcMCk944-FEsjbMlR-6MWqVB0,10247 +torch/ao/quantization/fx/__init__.py,sha256=XcWhBskMMnQCJmz6ezLX7JFcyBUuNNyn8VCzY1OCz4A,81 +torch/ao/quantization/fx/__pycache__/__init__.cpython-310.pyc,, +torch/ao/quantization/fx/__pycache__/_decomposed.cpython-310.pyc,, +torch/ao/quantization/fx/__pycache__/_equalize.cpython-310.pyc,, +torch/ao/quantization/fx/__pycache__/_lower_to_native_backend.cpython-310.pyc,, +torch/ao/quantization/fx/__pycache__/convert.cpython-310.pyc,, +torch/ao/quantization/fx/__pycache__/custom_config.cpython-310.pyc,, +torch/ao/quantization/fx/__pycache__/fuse.cpython-310.pyc,, +torch/ao/quantization/fx/__pycache__/fuse_handler.cpython-310.pyc,, +torch/ao/quantization/fx/__pycache__/graph_module.cpython-310.pyc,, +torch/ao/quantization/fx/__pycache__/lower_to_fbgemm.cpython-310.pyc,, +torch/ao/quantization/fx/__pycache__/lower_to_qnnpack.cpython-310.pyc,, +torch/ao/quantization/fx/__pycache__/lstm_utils.cpython-310.pyc,, +torch/ao/quantization/fx/__pycache__/match_utils.cpython-310.pyc,, +torch/ao/quantization/fx/__pycache__/pattern_utils.cpython-310.pyc,, +torch/ao/quantization/fx/__pycache__/prepare.cpython-310.pyc,, +torch/ao/quantization/fx/__pycache__/qconfig_mapping_utils.cpython-310.pyc,, +torch/ao/quantization/fx/__pycache__/quantize_handler.cpython-310.pyc,, +torch/ao/quantization/fx/__pycache__/tracer.cpython-310.pyc,, +torch/ao/quantization/fx/__pycache__/utils.cpython-310.pyc,, +torch/ao/quantization/fx/_decomposed.py,sha256=km1fihKxVOxpwNTJF_Wiz-OUFTxELWj1ScMZk2k-FCc,21444 +torch/ao/quantization/fx/_equalize.py,sha256=XhCSX3JAg7FieKOnfncnDKP_hwgEKlZNRU-bijTqTTA,37045 +torch/ao/quantization/fx/_lower_to_native_backend.py,sha256=NFjAxQc9aH_YiulayAWAuQYohfOnPz72QGOiGGVaDZY,51527 +torch/ao/quantization/fx/_model_report/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/ao/quantization/fx/_model_report/__pycache__/__init__.cpython-310.pyc,, +torch/ao/quantization/fx/_model_report/__pycache__/detector.cpython-310.pyc,, +torch/ao/quantization/fx/_model_report/__pycache__/model_report.cpython-310.pyc,, +torch/ao/quantization/fx/_model_report/__pycache__/model_report_observer.cpython-310.pyc,, +torch/ao/quantization/fx/_model_report/__pycache__/model_report_visualizer.cpython-310.pyc,, +torch/ao/quantization/fx/_model_report/detector.py,sha256=wT6HLhaNIQSDCsUsC50VComiWfVx_nadzd7xqQw0yUQ,73872 +torch/ao/quantization/fx/_model_report/model_report.py,sha256=i6uyhqdNX7k7rZiQbzxLcDhsDj37TzHt8YSgEoh77Fw,28697 +torch/ao/quantization/fx/_model_report/model_report_observer.py,sha256=95ptu3TE8T2Xyn41-EXj_z9k9Ip6pKYcNtsD70D6vyE,11789 +torch/ao/quantization/fx/_model_report/model_report_visualizer.py,sha256=QAexuXlv9EcZkechgdI-1NdXe9D7Abp_G-25ZGPBV6c,32106 +torch/ao/quantization/fx/convert.py,sha256=M81wFtmT201Br8tREkaxi3pYmHm9UqaAca4RrFbBMis,54692 +torch/ao/quantization/fx/custom_config.py,sha256=r6c5dS0e0JgIBwoDbjZI1Gw-TPlN_LGsq4bBElbQXUk,20693 +torch/ao/quantization/fx/fuse.py,sha256=vrHm15ISmBTzuyMiDPI76ssSPPzjSTUBKndtsTSjI-E,6541 +torch/ao/quantization/fx/fuse_handler.py,sha256=uiqMQ7BRFbTEDZjHHmzfg8bSJad1V7ZrIEWr9SyEcv0,4688 +torch/ao/quantization/fx/graph_module.py,sha256=OQQg3RJDUa1fn2wnBEISkesqNE9xNVCGxVpPGlqEFp4,5879 +torch/ao/quantization/fx/lower_to_fbgemm.py,sha256=R_Ipce4L8BkkjFaus66sILJpdHB7mqOMY-KuoxzFrk0,532 +torch/ao/quantization/fx/lower_to_qnnpack.py,sha256=C-y4Es9ZKShs1VIIeFLhG2xj2dIy7f_sXqgsTUN0RVE,541 +torch/ao/quantization/fx/lstm_utils.py,sha256=GNeGCiMgnGCFwbt9YbzpJ6nF5LdbwuhxMdBm_atFuK0,9328 +torch/ao/quantization/fx/match_utils.py,sha256=HcwgwxVpZeKX0d9Ap5XSm2m1HeBU68n2YDik7ewS2Go,9116 +torch/ao/quantization/fx/pattern_utils.py,sha256=tAvDQqxdWW4ixqvlWrJy_nCFX8bUUriYHuty3FaAEQA,3372 +torch/ao/quantization/fx/prepare.py,sha256=l9pURYYA1XMQeADwCmdjy97bJDr3KTuW2JtkCvg-qDw,83018 +torch/ao/quantization/fx/qconfig_mapping_utils.py,sha256=cf3A3V6fh7dCwGxSDlQW8dvKO_1EFlAg7atK0JGHQ2A,14789 +torch/ao/quantization/fx/quantize_handler.py,sha256=rqMohgVrtI43Bqb3Ntvx-PzzV2nB-SOTrCKStFK9oTo,7188 +torch/ao/quantization/fx/tracer.py,sha256=vcj2ZcSjwaaCkjtcPAj-8kmJaau_YzvJpht8x0Ptm1g,1657 +torch/ao/quantization/fx/utils.py,sha256=GYcJV0OfQwnpDxFRqT1piGS_3PqbQzWt3UaNvdpJa2k,37576 +torch/ao/quantization/observer.py,sha256=F13Ql7rqv_AWSJ3akNUmvDrt3kao9Rc2SVVL9g5UmzA,65683 +torch/ao/quantization/pt2e/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/ao/quantization/pt2e/__pycache__/__init__.cpython-310.pyc,, +torch/ao/quantization/pt2e/__pycache__/duplicate_dq_pass.cpython-310.pyc,, +torch/ao/quantization/pt2e/__pycache__/eval_utils.cpython-310.pyc,, +torch/ao/quantization/pt2e/__pycache__/generate_numeric_debug_handle.cpython-310.pyc,, +torch/ao/quantization/pt2e/__pycache__/graph_utils.cpython-310.pyc,, +torch/ao/quantization/pt2e/__pycache__/port_metadata_pass.cpython-310.pyc,, +torch/ao/quantization/pt2e/__pycache__/prepare.cpython-310.pyc,, +torch/ao/quantization/pt2e/__pycache__/qat_utils.cpython-310.pyc,, +torch/ao/quantization/pt2e/__pycache__/utils.cpython-310.pyc,, +torch/ao/quantization/pt2e/duplicate_dq_pass.py,sha256=zyTD6IrLiP-A9htCSS2MUFbxD3Tj79emStkZwfchPIw,1865 +torch/ao/quantization/pt2e/eval_utils.py,sha256=eIlXFTuR1XFU8jyCiCXLRhBlGCYCnd2KeRG6rLpyY0g,3652 +torch/ao/quantization/pt2e/generate_numeric_debug_handle.py,sha256=XtIhI0Zy9ANI0VD3sQm0Hjd4M7w_ADWC1FwK-mJsotk,584 +torch/ao/quantization/pt2e/graph_utils.py,sha256=wIkr9PORcFLrqs3gxIOdR9VroDeesXq8Fk8x8orxiyg,3874 +torch/ao/quantization/pt2e/port_metadata_pass.py,sha256=k0pi23cXBOcbnbqzxqbyjk-jJ9IfPdXyxH15TzrrSsE,8342 +torch/ao/quantization/pt2e/prepare.py,sha256=oHciyeFmu5OSLQBsdvMjomscMJTw7iN8R60E9NqYIgI,19876 +torch/ao/quantization/pt2e/qat_utils.py,sha256=fMzD3LjHSp8GAGSisaF6mir7tuMOo_Mq2zXkGqupi5w,31848 +torch/ao/quantization/pt2e/representation/__init__.py,sha256=sWVndHoPQ6CNaIiUCKpBx4EbvVdTmVplU0-Sf9BZoLU,109 +torch/ao/quantization/pt2e/representation/__pycache__/__init__.cpython-310.pyc,, +torch/ao/quantization/pt2e/representation/__pycache__/rewrite.cpython-310.pyc,, +torch/ao/quantization/pt2e/representation/rewrite.py,sha256=DVddsB-RWSEZoELwMAGqrir6wUeIM9rpuK9IhfO8IdQ,25915 +torch/ao/quantization/pt2e/utils.py,sha256=H9ds4U2Z0XsGPkD6vUs7tntujEz6mF2hafRfcGdEGUo,19685 +torch/ao/quantization/qconfig.py,sha256=d3yLB_SkarDsaI0eCtOf4P7iKS_PBRD73q2xItPdmVM,25824 +torch/ao/quantization/qconfig_mapping.py,sha256=EggVYxiHC4XVoHLmKL7lAxLxlmHqcfDIb1Z5clqJQ8U,14598 +torch/ao/quantization/quant_type.py,sha256=wj7Mk-f4BncrM0yqsP9XTHqIEjECt9iZiMlEQ41NXWw,755 +torch/ao/quantization/quantization_mappings.py,sha256=IH5K1tK9wx6o1em45SX60x77fJcMMJ_HTHzsHLyDbbI,13878 +torch/ao/quantization/quantize.py,sha256=vuSWR5ypxYSYTOTxPFkWh_jxHKOin318QfubYBT4E7M,28476 +torch/ao/quantization/quantize_fx.py,sha256=2vwZ-lbnpGVvnofQknCa-1oc2WiCyPhzvaaY6Co7nQI,32001 +torch/ao/quantization/quantize_jit.py,sha256=g619D7eDfHUPri3G2oLPtPMIHmlHZ088s6PP8N96cSI,14605 +torch/ao/quantization/quantize_pt2e.py,sha256=uHH9Ed0bv-WEVSSNFy9tyFEWmOUkiMaNo5DUtXjnhyc,9231 +torch/ao/quantization/quantizer/__init__.py,sha256=dgmk3-EJMR3k-Ytcpsm6IBUqk9LDsve3btFoGAHaDSc,454 +torch/ao/quantization/quantizer/__pycache__/__init__.cpython-310.pyc,, +torch/ao/quantization/quantizer/__pycache__/composable_quantizer.cpython-310.pyc,, +torch/ao/quantization/quantizer/__pycache__/embedding_quantizer.cpython-310.pyc,, +torch/ao/quantization/quantizer/__pycache__/quantizer.cpython-310.pyc,, +torch/ao/quantization/quantizer/__pycache__/utils.cpython-310.pyc,, +torch/ao/quantization/quantizer/__pycache__/x86_inductor_quantizer.cpython-310.pyc,, +torch/ao/quantization/quantizer/__pycache__/xnnpack_quantizer.cpython-310.pyc,, +torch/ao/quantization/quantizer/__pycache__/xnnpack_quantizer_utils.cpython-310.pyc,, +torch/ao/quantization/quantizer/composable_quantizer.py,sha256=U8krTIYM8UREaBrUZe6EPEFEwJepLicTkjRH0cTxpHg,2719 +torch/ao/quantization/quantizer/embedding_quantizer.py,sha256=elIbTSM5b5EyxLebGAwrZVJvjLD4mdfevNc_DggBz08,3471 +torch/ao/quantization/quantizer/quantizer.py,sha256=lmHnCV10JayWN4KYXIVB4KO8KhYaJLfO_NWIzXTrwDU,6263 +torch/ao/quantization/quantizer/utils.py,sha256=Xrd0fzoPz8u0l-5JkTlnFPmYITSG3pvVVoedjpMVEjU,1873 +torch/ao/quantization/quantizer/x86_inductor_quantizer.py,sha256=psrswpVigbFdIc-alragC7V7ml-9v36_BsZNsYWzeBY,41213 +torch/ao/quantization/quantizer/xnnpack_quantizer.py,sha256=I3-LUOYNy06VRDmgGtGqRhEBwXR7H7OL5u-b-dSBdPM,16175 +torch/ao/quantization/quantizer/xnnpack_quantizer_utils.py,sha256=e2QQpOEkRzvKw1AIwZBg6IAQu26DM7Mx79S4dx5x9EQ,34770 +torch/ao/quantization/stubs.py,sha256=9dCEyHugCeX1Qid9IPOp-hJ_NhVRW_KO8kDZ1SZZscc,2010 +torch/ao/quantization/utils.py,sha256=UUkV8eX2wbIr4C-eQcbdNo-g0d5VG3sDD221v5vQfKA,25902 +torch/autograd/__init__.py,sha256=wkOlENavewfbtINnvhAe68tUuhUahti7uWOnAkytFk0,22287 +torch/autograd/__pycache__/__init__.cpython-310.pyc,, +torch/autograd/__pycache__/anomaly_mode.cpython-310.pyc,, +torch/autograd/__pycache__/forward_ad.cpython-310.pyc,, +torch/autograd/__pycache__/function.cpython-310.pyc,, +torch/autograd/__pycache__/functional.cpython-310.pyc,, +torch/autograd/__pycache__/grad_mode.cpython-310.pyc,, +torch/autograd/__pycache__/gradcheck.cpython-310.pyc,, +torch/autograd/__pycache__/graph.cpython-310.pyc,, +torch/autograd/__pycache__/profiler.cpython-310.pyc,, +torch/autograd/__pycache__/profiler_legacy.cpython-310.pyc,, +torch/autograd/__pycache__/profiler_util.cpython-310.pyc,, +torch/autograd/__pycache__/variable.cpython-310.pyc,, +torch/autograd/_functions/__init__.py,sha256=sdKJj6Dia1vNRSolyufzRKdn5qHkgCBCUI3OBm-PGW0,36 +torch/autograd/_functions/__pycache__/__init__.cpython-310.pyc,, +torch/autograd/_functions/__pycache__/tensor.cpython-310.pyc,, +torch/autograd/_functions/__pycache__/utils.cpython-310.pyc,, +torch/autograd/_functions/tensor.py,sha256=gVuR8b9ZrB-ALLfEt2RvYmmu0UJIUR12PtnVLwtbC50,2096 +torch/autograd/_functions/utils.py,sha256=XLLs4FDcRBjymkBoHyv_2QwhzGKnWt896PtR1uNE1fA,2026 +torch/autograd/anomaly_mode.py,sha256=Mo-BPwoac_vG_brHOSZ0Y5jj7veDH-nF4nkfPXU7upE,4810 +torch/autograd/forward_ad.py,sha256=U3IpmJ18svx3n2qXM3-E4KYmB7MwNihGbYtGYAfxdTk,7594 +torch/autograd/function.py,sha256=6ni_7aUa1XSfiwmxRazXPlsv-ckRzdocSDjB06ocKDw,31981 +torch/autograd/functional.py,sha256=-ZqPKeXBMim7VmsJjfYwNWfz9K2fgM8NB2n06V_cdCA,52278 +torch/autograd/grad_mode.py,sha256=U8PH7H7NNDTBPMlqWqAING8pwZ_L6fmO7Fabo7coxS8,12959 +torch/autograd/gradcheck.py,sha256=2mdqDPhYbPsGxtX3X296ni0bJx9y4yL_9SNFT4RRnAQ,91515 +torch/autograd/graph.py,sha256=kJolAosFiQZ1PoAZ1GSY5fzDfoUFMCTktTEegpJFHuM,23216 +torch/autograd/profiler.py,sha256=mx5ivm5ZvvHyCR9oa3nDYnmRfKxNcLylHl0agLB0u3k,41108 +torch/autograd/profiler_legacy.py,sha256=IkHrBmG9dufSgWX9l-Psv9e9iqO-bv5xJqge4tEfm9c,11092 +torch/autograd/profiler_util.py,sha256=dUVqsStv08n1cWDx4vlNcqCt1dVgyemUnJxF0WcPkLI,42206 +torch/autograd/variable.py,sha256=MuEFYqFoe3iEw-slxG_Ar4Cd5t2x9OJJIX8_SiPBxBE,364 +torch/backends/__init__.py,sha256=3r8aYrClTyZGgeTqMsYH3jOIqLlzYp3SQNnaOJad2PM,1673 +torch/backends/__pycache__/__init__.cpython-310.pyc,, +torch/backends/_coreml/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/backends/_coreml/__pycache__/__init__.cpython-310.pyc,, +torch/backends/_coreml/__pycache__/preprocess.cpython-310.pyc,, +torch/backends/_coreml/preprocess.py,sha256=MRh1UaOG-RHHfdtZlVqwU-cTvrNzqHyjsqqYXUa4IBM,4220 +torch/backends/_nnapi/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/backends/_nnapi/__pycache__/__init__.cpython-310.pyc,, +torch/backends/_nnapi/__pycache__/prepare.cpython-310.pyc,, +torch/backends/_nnapi/__pycache__/serializer.cpython-310.pyc,, +torch/backends/_nnapi/prepare.py,sha256=jAF-8ZOKOBOPAxmSU94rL9WHD-2vU9djmA_zHZaGs78,6516 +torch/backends/_nnapi/serializer.py,sha256=yoUVmjfJnGVs7C3uqPYOoGfmguYt2aD1dSiEY8hBo9Q,81174 +torch/backends/cpu/__init__.py,sha256=eXEopiEO61M4MV-A4RBSHSKcKzg1xFK8YJbNbPGDgp8,298 +torch/backends/cpu/__pycache__/__init__.cpython-310.pyc,, +torch/backends/cuda/__init__.py,sha256=FlDjM6kjMFwitua3KtNQ5kJZ8CvTDzlWcMCzq5XPZE8,11450 +torch/backends/cuda/__pycache__/__init__.cpython-310.pyc,, +torch/backends/cudnn/__init__.py,sha256=--V4RB8hPTNd1V4KjTh_oF-D1WY3lmO9bWIY1V7Nyks,6532 +torch/backends/cudnn/__pycache__/__init__.cpython-310.pyc,, +torch/backends/cudnn/__pycache__/rnn.cpython-310.pyc,, +torch/backends/cudnn/rnn.py,sha256=ogLvJqMP9H9ab06PB_GBZK6iEaKC2aRiu3kZE2Krux8,2017 +torch/backends/mkl/__init__.py,sha256=T4P31kIuJa6ahkx1uDQjgD14wGJXd7CaasAOPS6l-mU,1755 +torch/backends/mkl/__pycache__/__init__.cpython-310.pyc,, +torch/backends/mkldnn/__init__.py,sha256=Qn3SQwZsZraOWTe2Ou51scoBinGH3RcBueNtCtFnO-0,2855 +torch/backends/mkldnn/__pycache__/__init__.cpython-310.pyc,, +torch/backends/mps/__init__.py,sha256=LEDfEtm3xUsOG9Vsekssb48thdMS2oTPjx3AbUqt3Iw,1444 +torch/backends/mps/__pycache__/__init__.cpython-310.pyc,, +torch/backends/openmp/__init__.py,sha256=R319KXl83TXQBIDp675MRdxC0GeMshRoBKSfLe7Nkjk,130 +torch/backends/openmp/__pycache__/__init__.cpython-310.pyc,, +torch/backends/opt_einsum/__init__.py,sha256=lvo21CBq0htrLaavqNcLBCVMDMF6TmXVy1bRDnCGrSs,3424 +torch/backends/opt_einsum/__pycache__/__init__.cpython-310.pyc,, +torch/backends/quantized/__init__.py,sha256=faeIgQ_9zzr-lLp57E8X7nqvpNg_GSjepdCubt1JeD8,1858 +torch/backends/quantized/__pycache__/__init__.cpython-310.pyc,, +torch/backends/xeon/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/backends/xeon/__pycache__/__init__.cpython-310.pyc,, +torch/backends/xeon/__pycache__/run_cpu.cpython-310.pyc,, +torch/backends/xeon/run_cpu.py,sha256=wzlbAt7KJ3fxjmBI0WwuSenigAtWjGV8uBXSNntgRUk,36793 +torch/backends/xnnpack/__init__.py,sha256=quOConD3FMrefTb_VLQ0G_cMOH70tg4JO8hGjdFZEQ0,675 +torch/backends/xnnpack/__pycache__/__init__.cpython-310.pyc,, +torch/bin/protoc,sha256=M5CHOy2lbBOXrew3KPFYjFHhgvFbEj07TU8kjTHB9No,5330888 +torch/bin/protoc-3.13.0.0,sha256=M5CHOy2lbBOXrew3KPFYjFHhgvFbEj07TU8kjTHB9No,5330888 +torch/bin/torch_shm_manager,sha256=t0X5mnSnoa3DH1mtB8WXGvXvUpjnwnKWppOIqGNUWpo,35392 +torch/compiler/__init__.py,sha256=JY4M3czKLqSKOKuCGulqMlgTU77SSpMXj-DzokBdzMQ,4011 +torch/compiler/__pycache__/__init__.cpython-310.pyc,, +torch/contrib/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/contrib/__pycache__/__init__.cpython-310.pyc,, +torch/contrib/__pycache__/_tensorboard_vis.cpython-310.pyc,, +torch/contrib/_tensorboard_vis.py,sha256=OiLBnE24qCffM68kgeZe7g6gl2Ud8KC9x1S9HfxO5xA,5916 +torch/cpu/__init__.py,sha256=KXQb1lYdyrNHShTzKqMgDoNnaI3Sqmf-ZLceeaFlC-E,3525 +torch/cpu/__pycache__/__init__.cpython-310.pyc,, +torch/cpu/amp/__init__.py,sha256=0f9mBF7qkj4svXcM8EhZkwuRXQxSkXgl1HGOEz-pGJc,36 +torch/cpu/amp/__pycache__/__init__.cpython-310.pyc,, +torch/cpu/amp/__pycache__/autocast_mode.cpython-310.pyc,, +torch/cpu/amp/autocast_mode.py,sha256=MGlcNtApgK_wB47UUCJulrFYyOmm0jtb_rVHvTKewiw,1247 +torch/cuda/__init__.py,sha256=n6YPbNcsuOt6pZn87T_r9sQ3ObSDRYpzBHY9Bgth9U0,45356 +torch/cuda/__pycache__/__init__.cpython-310.pyc,, +torch/cuda/__pycache__/_memory_viz.cpython-310.pyc,, +torch/cuda/__pycache__/_sanitizer.cpython-310.pyc,, +torch/cuda/__pycache__/_utils.cpython-310.pyc,, +torch/cuda/__pycache__/comm.cpython-310.pyc,, +torch/cuda/__pycache__/error.cpython-310.pyc,, +torch/cuda/__pycache__/graphs.cpython-310.pyc,, +torch/cuda/__pycache__/jiterator.cpython-310.pyc,, +torch/cuda/__pycache__/memory.cpython-310.pyc,, +torch/cuda/__pycache__/nccl.cpython-310.pyc,, +torch/cuda/__pycache__/nvtx.cpython-310.pyc,, +torch/cuda/__pycache__/profiler.cpython-310.pyc,, +torch/cuda/__pycache__/random.cpython-310.pyc,, +torch/cuda/__pycache__/sparse.cpython-310.pyc,, +torch/cuda/__pycache__/streams.cpython-310.pyc,, +torch/cuda/_memory_viz.py,sha256=Ghqzoj0KudAe2jWJvwhBi6I0kecD70LWon5-ldgrwSg,24804 +torch/cuda/_sanitizer.py,sha256=knq3g3vZxOoUrMQfaJ46ARPh6MA2T4WrCUSd8w5SueM,22432 +torch/cuda/_utils.py,sha256=h6sNbtsIOpGa_jY8RALoHONS-U4jtSDpu6xc3v68cIc,2067 +torch/cuda/amp/__init__.py,sha256=ep1cxTLm6PD5ovfN9tXja0j-4hPjzdN6x9NSG6sAuq0,181 +torch/cuda/amp/__pycache__/__init__.cpython-310.pyc,, +torch/cuda/amp/__pycache__/autocast_mode.cpython-310.pyc,, +torch/cuda/amp/__pycache__/common.cpython-310.pyc,, +torch/cuda/amp/__pycache__/grad_scaler.cpython-310.pyc,, +torch/cuda/amp/autocast_mode.py,sha256=4vW5g-2BrMLIcPLz5pwtvxCxWPoj1_JmHOQGO_JeXEs,5167 +torch/cuda/amp/common.py,sha256=QdcXnCNAwps5VVTNo6jsdmES6H6K6zqpyUZxIZmfKa0,202 +torch/cuda/amp/grad_scaler.py,sha256=TG4SdITQoJU9V1xYLF7BHWwPnskuqrSI3O-qz3SQLwM,29995 +torch/cuda/comm.py,sha256=g4kiETMiMDJ5ufrlym1JdITVMuZLogs8HiwaC111U0Q,343 +torch/cuda/error.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/cuda/graphs.py,sha256=UWQPnwy-8S50zwgZXkA8rIslZOcwssDlazOmvIOcmVI,21388 +torch/cuda/jiterator.py,sha256=aUkfHRmKzvw4ZyF8b6UkURnmJvPgUl7YLcG2InXYLCs,6790 +torch/cuda/memory.py,sha256=BdFF2Wo7lwVxEjjx9ExyAKsoh52ueWS6fCLytj7hET8,35046 +torch/cuda/nccl.py,sha256=YqnefVwWH0Lmp1LW_fI-ZoZhHFggWbHOOkM1E50YJxM,4110 +torch/cuda/nvtx.py,sha256=sOydfpK6FbkQGli4ctRcSSI0zTW00SE-rCpOTT6AVwY,2415 +torch/cuda/profiler.py,sha256=5RSXPx0OW9NlGVzlQ73m2bpXGcwVkCcb8R_KAgjmM3M,1666 +torch/cuda/random.py,sha256=4kLtmqUz3GgavLa1KlaDmTrNeuliIU91KkSgeBd6HvM,5255 +torch/cuda/sparse.py,sha256=H912FRisikGM9SSVDQQq-YX5TNIilBYBZs1AwmIv3GQ,67 +torch/cuda/streams.py,sha256=lucPje0HZdRIdxXg41l8j4UEOzSTeVK9IPxA-hstnKM,8319 +torch/distributed/__init__.py,sha256=5vdQeS2kSTCf3ewsmZmjsOgxL-Y2zwMMY_y3QiNuMQQ,4109 +torch/distributed/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/__pycache__/_composable_state.cpython-310.pyc,, +torch/distributed/__pycache__/_functional_collectives.cpython-310.pyc,, +torch/distributed/__pycache__/_functional_collectives_impl.cpython-310.pyc,, +torch/distributed/__pycache__/argparse_util.cpython-310.pyc,, +torch/distributed/__pycache__/c10d_logger.cpython-310.pyc,, +torch/distributed/__pycache__/collective_utils.cpython-310.pyc,, +torch/distributed/__pycache__/constants.cpython-310.pyc,, +torch/distributed/__pycache__/device_mesh.cpython-310.pyc,, +torch/distributed/__pycache__/distributed_c10d.cpython-310.pyc,, +torch/distributed/__pycache__/launch.cpython-310.pyc,, +torch/distributed/__pycache__/logging_handlers.cpython-310.pyc,, +torch/distributed/__pycache__/remote_device.cpython-310.pyc,, +torch/distributed/__pycache__/rendezvous.cpython-310.pyc,, +torch/distributed/__pycache__/run.cpython-310.pyc,, +torch/distributed/__pycache__/utils.cpython-310.pyc,, +torch/distributed/_composable/__init__.py,sha256=m_X5LTwtmai9gMvopIlzj-N32YkCV1aTokhVNgUf8LU,162 +torch/distributed/_composable/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/_composable/__pycache__/checkpoint_activation.cpython-310.pyc,, +torch/distributed/_composable/__pycache__/contract.cpython-310.pyc,, +torch/distributed/_composable/__pycache__/fully_shard.cpython-310.pyc,, +torch/distributed/_composable/__pycache__/replicate.cpython-310.pyc,, +torch/distributed/_composable/checkpoint_activation.py,sha256=AeoOhbTP-cCVfK7nEvvLQElRX5Hp9sjcoV7mfp7H2rg,3335 +torch/distributed/_composable/contract.py,sha256=StFnsJiSjB4BM5tM-Q9hNOId4yuVrzWj0QsGvOawkDQ,7373 +torch/distributed/_composable/fully_shard.py,sha256=3iyvna6BkIlgolcGCslk_beL3cfrAy9U2zL81ErNYYE,4784 +torch/distributed/_composable/replicate.py,sha256=u2fIfXD-vK_cC0jVNd4hcQnjoTwa6LTR6TGLhM2ACMY,5320 +torch/distributed/_composable_state.py,sha256=LV7Lb610CsRZ7SxFp7mLz-5K0cwu7LP5aKil_ouDKsg,1124 +torch/distributed/_functional_collectives.py,sha256=FAdRAJHq-8V23PHjC_Atja86CvpnFADNxxUOOPgnlck,30331 +torch/distributed/_functional_collectives_impl.py,sha256=4qYKTS3nKFdiLoMfLTKkofPdbmzLnMMDXQfgyPyB-xE,12453 +torch/distributed/_shard/__init__.py,sha256=wSp5Aq8q4aICaAb7LZaEZAMtO4EGpRcqWfrF6g9EqWs,108 +torch/distributed/_shard/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/_shard/__pycache__/_utils.cpython-310.pyc,, +torch/distributed/_shard/__pycache__/api.cpython-310.pyc,, +torch/distributed/_shard/__pycache__/common_op_utils.cpython-310.pyc,, +torch/distributed/_shard/__pycache__/metadata.cpython-310.pyc,, +torch/distributed/_shard/__pycache__/op_registry_utils.cpython-310.pyc,, +torch/distributed/_shard/__pycache__/sharder.cpython-310.pyc,, +torch/distributed/_shard/_utils.py,sha256=Js6Vzz5BHfpef7wDF_dxFsORwd2UQuhXLKN0XC9ge_A,1104 +torch/distributed/_shard/api.py,sha256=L3Xo2wXM-w0vpxn2EowyzPA-4qiNysCH0AH9ZU1EgK4,12214 +torch/distributed/_shard/checkpoint/__init__.py,sha256=svskj1ZwUZ27FZPzkIBS4pI8ltZTmK5KzeAoStn46nY,459 +torch/distributed/_shard/checkpoint/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/_shard/common_op_utils.py,sha256=O0sMPoh-LB23x5Z5U-K3BrQr_Liydg4GQSnCNZ9uGBo,2149 +torch/distributed/_shard/metadata.py,sha256=T3wDjBCvO_auXM0j_mF_ZWzkl_LyUfkOrcxGWLtzhgc,2179 +torch/distributed/_shard/op_registry_utils.py,sha256=DSF2gmxl4Fw86qfApPo_aVxjdAAhdy4wco1NtQv5apU,991 +torch/distributed/_shard/sharded_optim/__init__.py,sha256=q0lya6lbOt4HUujeftvTaKyprAKtU_wff9xq4t6RdRM,1857 +torch/distributed/_shard/sharded_optim/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/_shard/sharded_optim/__pycache__/api.cpython-310.pyc,, +torch/distributed/_shard/sharded_optim/api.py,sha256=2RjUcLizDv24wxDf4s9C72kQvy0OhqTDLfIK-RgtiOE,4183 +torch/distributed/_shard/sharded_tensor/__init__.py,sha256=7re078LUgdyuGNYvzF5G5hBR0vtK9sOPkftw-IzGB5U,19516 +torch/distributed/_shard/sharded_tensor/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/_shard/sharded_tensor/__pycache__/api.cpython-310.pyc,, +torch/distributed/_shard/sharded_tensor/__pycache__/logger.cpython-310.pyc,, +torch/distributed/_shard/sharded_tensor/__pycache__/logging_handlers.cpython-310.pyc,, +torch/distributed/_shard/sharded_tensor/__pycache__/metadata.cpython-310.pyc,, +torch/distributed/_shard/sharded_tensor/__pycache__/reshard.cpython-310.pyc,, +torch/distributed/_shard/sharded_tensor/__pycache__/shard.cpython-310.pyc,, +torch/distributed/_shard/sharded_tensor/__pycache__/utils.cpython-310.pyc,, +torch/distributed/_shard/sharded_tensor/_ops/__init__.py,sha256=lOaER0hNB_XR9GIjdcKC8HBm2DeHsMsMwVd5MaOzS8I,480 +torch/distributed/_shard/sharded_tensor/_ops/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/_shard/sharded_tensor/_ops/__pycache__/_common.cpython-310.pyc,, +torch/distributed/_shard/sharded_tensor/_ops/__pycache__/binary_cmp.cpython-310.pyc,, +torch/distributed/_shard/sharded_tensor/_ops/__pycache__/init.cpython-310.pyc,, +torch/distributed/_shard/sharded_tensor/_ops/__pycache__/misc_ops.cpython-310.pyc,, +torch/distributed/_shard/sharded_tensor/_ops/__pycache__/tensor_ops.cpython-310.pyc,, +torch/distributed/_shard/sharded_tensor/_ops/_common.py,sha256=ou_e2LqdNlF27bPRlojIdtjy6JC5TSpwGBwLNVJrfTk,4163 +torch/distributed/_shard/sharded_tensor/_ops/binary_cmp.py,sha256=Q37Ijd1BIVpfPDICPnhh7gIAeDDyjhz-5TYMRNBeaN4,2641 +torch/distributed/_shard/sharded_tensor/_ops/init.py,sha256=jvvLxpYSb7DTKon4Fp67xb_KdM4qStUsY5gtJ9vMtQk,5439 +torch/distributed/_shard/sharded_tensor/_ops/misc_ops.py,sha256=RVT4nwQVP0TqsnL7WqYaMQK2-BEXm2gEHX_Ksv3_b08,478 +torch/distributed/_shard/sharded_tensor/_ops/tensor_ops.py,sha256=o4hJ6gAFoYdtLPAOC4X9mvXWAif5wBatbURfp-TUNE0,7706 +torch/distributed/_shard/sharded_tensor/api.py,sha256=a_KzHGDwzbI0N1u55MNgepmdtaLwcZM_fjTtJBuyg3c,51524 +torch/distributed/_shard/sharded_tensor/logger.py,sha256=uo_Lbobg-lIwEG2r9ArKbK-aGdsgxhwR17nsC-9a9ss,1123 +torch/distributed/_shard/sharded_tensor/logging_handlers.py,sha256=nfWJ7C4I3VkGNoVR9CH5yKIGYxAPa0KC8KQ_KAwFs8Y,388 +torch/distributed/_shard/sharded_tensor/metadata.py,sha256=2994_FwQTkeUeGMzPR7yZXmPSgu1wbk9fG_296t3404,2891 +torch/distributed/_shard/sharded_tensor/reshard.py,sha256=dcvdQAf5QZtT1V-osFoTPHJXI8Qj0Sr4rmfKZkDnnn0,10786 +torch/distributed/_shard/sharded_tensor/shard.py,sha256=VAKw8JT3Zo6_EyUwnIe6ztdBCCVMsD2zq9G4bKBtS-c,2339 +torch/distributed/_shard/sharded_tensor/utils.py,sha256=_Lstt2vDvkZ2lPbxdNmWpU8m64eKF-u6JDUH6HWsMh8,9056 +torch/distributed/_shard/sharder.py,sha256=QbZeSUAbIdVfDUeNZyyy-l8BqbKy8L-UeTa88Ac0RNw,911 +torch/distributed/_shard/sharding_plan/__init__.py,sha256=62qINZKfvhOJgUZf_iRtigeyYCvHpDamhz34lP2rBn8,59 +torch/distributed/_shard/sharding_plan/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/_shard/sharding_plan/__pycache__/api.cpython-310.pyc,, +torch/distributed/_shard/sharding_plan/api.py,sha256=H6lY8HkUJM17qk1iCpAtbOrJ4g7CuaV5umDRIYCCYYA,3664 +torch/distributed/_shard/sharding_spec/__init__.py,sha256=V1cjoJfbIyos11lcp8wpTiE0TadNRzX0UrrELu8PmnM,300 +torch/distributed/_shard/sharding_spec/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/_shard/sharding_spec/__pycache__/_internals.cpython-310.pyc,, +torch/distributed/_shard/sharding_spec/__pycache__/api.cpython-310.pyc,, +torch/distributed/_shard/sharding_spec/__pycache__/chunk_sharding_spec.cpython-310.pyc,, +torch/distributed/_shard/sharding_spec/_internals.py,sha256=_BdFpGH_z_IWffDew0TiZFZQiVIAu4BrVrmYgv0jmno,7881 +torch/distributed/_shard/sharding_spec/api.py,sha256=QB9ltvctXMGlb_uKZY22YfB-NNG3KNNQCWfFzZUJLGU,9422 +torch/distributed/_shard/sharding_spec/chunk_sharding_spec.py,sha256=IgpH_JcYbJC5qR7ijham2VniNQQonaE2-NYCRmpv2Mo,8566 +torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/__pycache__/_common.cpython-310.pyc,, +torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/__pycache__/embedding.cpython-310.pyc,, +torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/__pycache__/embedding_bag.cpython-310.pyc,, +torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/_common.py,sha256=viKqDCN-ZC6dx-VV01QbrNKfCixXsebuMtvnSiGOpeo,13046 +torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/embedding.py,sha256=3ooqRn3KNnx-jKIf6N986H2bgkiuhLcxdxweF5Q3kLU,11190 +torch/distributed/_shard/sharding_spec/chunk_sharding_spec_ops/embedding_bag.py,sha256=uRHoL6t5zWyNIt8Y4wUBTh2tqOj-pXoCEP2EkgrbK6o,18270 +torch/distributed/_sharded_tensor/__init__.py,sha256=Cq-jPFZ6xzQh8scFJ_hmNYiec2yDCVe5MDoX5efhCTY,484 +torch/distributed/_sharded_tensor/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/_sharding_spec/__init__.py,sha256=SISl7BpPTUq3ctXbME1sFvVWgS-s07tHKrHQ0abCtcM,520 +torch/distributed/_sharding_spec/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/_spmd/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/distributed/_spmd/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/_spmd/__pycache__/api.cpython-310.pyc,, +torch/distributed/_spmd/__pycache__/batch_dim_utils.cpython-310.pyc,, +torch/distributed/_spmd/__pycache__/comm_tensor.cpython-310.pyc,, +torch/distributed/_spmd/__pycache__/config.cpython-310.pyc,, +torch/distributed/_spmd/__pycache__/data_parallel.cpython-310.pyc,, +torch/distributed/_spmd/__pycache__/distribute.cpython-310.pyc,, +torch/distributed/_spmd/__pycache__/experimental_ops.cpython-310.pyc,, +torch/distributed/_spmd/__pycache__/gm_transformation.cpython-310.pyc,, +torch/distributed/_spmd/__pycache__/graph_optimization.cpython-310.pyc,, +torch/distributed/_spmd/__pycache__/graph_utils.cpython-310.pyc,, +torch/distributed/_spmd/__pycache__/iter_graph_module.cpython-310.pyc,, +torch/distributed/_spmd/__pycache__/log_utils.cpython-310.pyc,, +torch/distributed/_spmd/__pycache__/parallel_mode.cpython-310.pyc,, +torch/distributed/_spmd/__pycache__/partial_lower.cpython-310.pyc,, +torch/distributed/_spmd/api.py,sha256=JBYB3AdnZKxBLi3gzkFUJ6dE3M4U1KB6mrCZwrC0V1k,20991 +torch/distributed/_spmd/batch_dim_utils.py,sha256=4oeiWGmhyp91NSvfD7pHAwcIkXJXtGVSdISY_keSU7o,7896 +torch/distributed/_spmd/comm_tensor.py,sha256=6baIrR59LIaW6p7Zbo2tXM0u-aY1cd4FL9OFEnLlhxA,10278 +torch/distributed/_spmd/config.py,sha256=zK-jnLX5bAuJOqzFVFVxZfB3jy9jvzp__7VUNKMzGgI,879 +torch/distributed/_spmd/data_parallel.py,sha256=L8NnrzptKm7u-ipodfCpPbVZMC7j-tIHttVRvYL1pzI,37854 +torch/distributed/_spmd/distribute.py,sha256=vH4lc0XFLuS-sADvY9IzW2iJ3Ao9a406AWm1w5QzExg,29823 +torch/distributed/_spmd/experimental_ops.py,sha256=FfK5TFeocxShCAfm_J0VKrYOHuR2ThCE5PbYZ630iqo,17344 +torch/distributed/_spmd/gm_transformation.py,sha256=wfOLIhisSjVwr7zYx7k-fwWN4DPYPPFwJhCv48IAj9o,1793 +torch/distributed/_spmd/graph_optimization.py,sha256=VgeWK8wa6Oo3Ntw2j-H22ulZiDI05_7LwJv2yyQROL4,37794 +torch/distributed/_spmd/graph_utils.py,sha256=91uExNFiQAt8H7sLuILmMaSyLNz2W9NAfwSc_TeLd7o,4927 +torch/distributed/_spmd/iter_graph_module.py,sha256=UB8gWtXKcVUGQvcHy52YKOKkXOefZuS1bKyM-VnXN6Q,32106 +torch/distributed/_spmd/log_utils.py,sha256=YE3mt9cuj7XNMNqu8tuA-daAL0vXPWN5138aZSNQ8Uw,2344 +torch/distributed/_spmd/parallel_mode.py,sha256=Wkh69iAtVugJqAnwa_k1bNEP9N4aeSDMORFDoJAC004,7956 +torch/distributed/_spmd/partial_lower.py,sha256=dJOmROOHDtDqGybSsIh_OuDaXhK36fFPMS2hqHq16Ww,9899 +torch/distributed/_tensor/__init__.py,sha256=PhncoxnLxpzgJklB9kkpytMHBTCxd4NKy2QXkSCOwtI,13112 +torch/distributed/_tensor/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/_tensor/__pycache__/_collective_utils.cpython-310.pyc,, +torch/distributed/_tensor/__pycache__/_dynamo_utils.cpython-310.pyc,, +torch/distributed/_tensor/__pycache__/_utils.cpython-310.pyc,, +torch/distributed/_tensor/__pycache__/_xla.cpython-310.pyc,, +torch/distributed/_tensor/__pycache__/api.cpython-310.pyc,, +torch/distributed/_tensor/__pycache__/device_mesh.cpython-310.pyc,, +torch/distributed/_tensor/__pycache__/dispatch.cpython-310.pyc,, +torch/distributed/_tensor/__pycache__/op_schema.cpython-310.pyc,, +torch/distributed/_tensor/__pycache__/placement_types.cpython-310.pyc,, +torch/distributed/_tensor/__pycache__/random.cpython-310.pyc,, +torch/distributed/_tensor/__pycache__/redistribute.cpython-310.pyc,, +torch/distributed/_tensor/__pycache__/sharding_prop.cpython-310.pyc,, +torch/distributed/_tensor/__pycache__/tp_conv.cpython-310.pyc,, +torch/distributed/_tensor/_collective_utils.py,sha256=e_NyxnrXeNo92bpyeEA4rcoOVQTNTN2D1y9O_5NR1bQ,9621 +torch/distributed/_tensor/_dynamo_utils.py,sha256=I802jXBgFkl3slU0nfQQ4DTKG59oVADdf4QqhOjyIEo,184 +torch/distributed/_tensor/_utils.py,sha256=ZCjcnCJldXwJcCKgtb2xMrM3xJ3Qq-ZNbEnONU185TM,7181 +torch/distributed/_tensor/_xla.py,sha256=KVR5-i-n3qs49PrL9IgCac1Rpr38qWw7S1HvGZ1rJBE,7985 +torch/distributed/_tensor/api.py,sha256=-_Sq-pGpj-XSMLixTJrI_mMkCJK2PhJ3IuuKC8c5nko,30419 +torch/distributed/_tensor/debug/__init__.py,sha256=GFzGZcnjbeA-RSZ6qbUmZWGGoskSRV3G6hFpw-le8gw,515 +torch/distributed/_tensor/debug/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/_tensor/debug/__pycache__/comm_mode.cpython-310.pyc,, +torch/distributed/_tensor/debug/__pycache__/op_coverage.cpython-310.pyc,, +torch/distributed/_tensor/debug/comm_mode.py,sha256=WQVs03IIsyBkrE3bcTpGoDJU7T1A58nu0yNWqTxZiUg,1902 +torch/distributed/_tensor/debug/op_coverage.py,sha256=Exa6sF5HSkv9bCmJ0FyaStN6br6blvRrnYi1DZhzQW8,3073 +torch/distributed/_tensor/device_mesh.py,sha256=UvmlUwYHy1bh-FyCVUtUPgVZoGJVmoWTl7EjzhW86HE,143 +torch/distributed/_tensor/dispatch.py,sha256=PxD8yLsk3wbA81w0y-QomTwUG1N_4-31rgrCKs9T2B0,16285 +torch/distributed/_tensor/experimental/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/distributed/_tensor/experimental/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/_tensor/experimental/__pycache__/tp_transform.cpython-310.pyc,, +torch/distributed/_tensor/experimental/tp_transform.py,sha256=gEboY2ljLLfcEclYV78fpdY0e8g4z-jiTmsXIKYCPdU,19526 +torch/distributed/_tensor/op_schema.py,sha256=RT1WgWfj48TOPrSfRVkluWIIiYWenz1t8lJiy-6EmjU,14316 +torch/distributed/_tensor/ops/__init__.py,sha256=FpW_UGJUbqKHEfm8S54cNEQseoKya4eRbZ50yEOQTQo,418 +torch/distributed/_tensor/ops/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/_tensor/ops/__pycache__/basic_strategy.cpython-310.pyc,, +torch/distributed/_tensor/ops/__pycache__/common_rules.cpython-310.pyc,, +torch/distributed/_tensor/ops/__pycache__/conv_ops.cpython-310.pyc,, +torch/distributed/_tensor/ops/__pycache__/embedding_ops.cpython-310.pyc,, +torch/distributed/_tensor/ops/__pycache__/experimental_ops.cpython-310.pyc,, +torch/distributed/_tensor/ops/__pycache__/math_ops.cpython-310.pyc,, +torch/distributed/_tensor/ops/__pycache__/matrix_ops.cpython-310.pyc,, +torch/distributed/_tensor/ops/__pycache__/pointwise_ops.cpython-310.pyc,, +torch/distributed/_tensor/ops/__pycache__/random_ops.cpython-310.pyc,, +torch/distributed/_tensor/ops/__pycache__/tensor_ops.cpython-310.pyc,, +torch/distributed/_tensor/ops/__pycache__/utils.cpython-310.pyc,, +torch/distributed/_tensor/ops/__pycache__/view_ops.cpython-310.pyc,, +torch/distributed/_tensor/ops/basic_strategy.py,sha256=TSxvaUAHwFd1FutfuBXWwQcH0jhJXZDRyVCiXCtRqfM,6659 +torch/distributed/_tensor/ops/common_rules.py,sha256=ZQnRoDPPH1Gppo7-hRs_kmu0gn1QERHqCzeR1sN2wkk,12120 +torch/distributed/_tensor/ops/conv_ops.py,sha256=_xhAlmlQY7po2Tq2MMn11hLSKcr1S4DRfSErClN0qCs,3290 +torch/distributed/_tensor/ops/embedding_ops.py,sha256=ySmWg7cr5lJ4kcg4_m3oKdoZFWgFOueWW65CJ2RIhyc,3737 +torch/distributed/_tensor/ops/experimental_ops.py,sha256=HNYpKmmld591MSaDzLlNPF2NF8KOGlSVap8K07o0eY4,2973 +torch/distributed/_tensor/ops/math_ops.py,sha256=5ZbXzCCvDiusuFf36AntlGzL5dJp4IAFZ8T8DwkN5Wc,12914 +torch/distributed/_tensor/ops/matrix_ops.py,sha256=REobEcUozMrpFbCwfizXVOJlRaqZrNRogLmixh00Kxg,4993 +torch/distributed/_tensor/ops/pointwise_ops.py,sha256=TVaTZftk4nchyCDJ_E0cMoVeqwXRK-v1VjQK2J_ikV4,18676 +torch/distributed/_tensor/ops/random_ops.py,sha256=_KXiCrL3n-BtecMwVjr0ZPAwximvq1D7DpRtFsBxxe4,1086 +torch/distributed/_tensor/ops/tensor_ops.py,sha256=IKq3yr-pQ4n15Lehjc59SGzVnpTWhtGxHDdYuxzioAw,25839 +torch/distributed/_tensor/ops/utils.py,sha256=-3KtJkGAtHyurBjlg4rHBjWIv0am4KjNWW8Td_9mJN4,6545 +torch/distributed/_tensor/ops/view_ops.py,sha256=uR79fsk4KE7B5zK9r3nKBGSMkFpIHNoDiqun7AW_9Rg,24717 +torch/distributed/_tensor/placement_types.py,sha256=qMP37NJ_GDDQC4qatTLRcpxJiBuzaBfoBAqHNmXFBoE,20547 +torch/distributed/_tensor/random.py,sha256=tt-E9bX1BZtE-cG_GwdXa8ry8rGkdh7BTEKtAELBHC8,15870 +torch/distributed/_tensor/redistribute.py,sha256=99Mnkte3u-nJbzzs9MyaguUgaJz9SUEkCJzxJATOpDQ,9741 +torch/distributed/_tensor/sharding_prop.py,sha256=V8LG75U1Sba65qmsAKjA5e8h90D-eI8cayYkFlWehYs,17055 +torch/distributed/_tensor/tp_conv.py,sha256=98upyXxUY2Bpp_mpv9TX9FBHzIXfd0ahiy-eyaFS8p0,10136 +torch/distributed/_tools/__init__.py,sha256=d46iFLG9j3jN7HZkwEu99Wt9svzuP-wmZtpZEl7g5cg,42 +torch/distributed/_tools/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/_tools/__pycache__/memory_tracker.cpython-310.pyc,, +torch/distributed/_tools/memory_tracker.py,sha256=zCrOEUR-aOJoTbNDlJQlYlFi2V81xcwWbCrl5OLbfgA,11439 +torch/distributed/algorithms/__init__.py,sha256=FSx7ffbFnhrQvyCoO261CVdljZDFcjnCduv6eiZHqFE,77 +torch/distributed/algorithms/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/algorithms/__pycache__/join.cpython-310.pyc,, +torch/distributed/algorithms/_checkpoint/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/distributed/algorithms/_checkpoint/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/algorithms/_checkpoint/__pycache__/checkpoint_wrapper.cpython-310.pyc,, +torch/distributed/algorithms/_checkpoint/checkpoint_wrapper.py,sha256=bJLNQyKIBUTQripHJTQfudGsEnAa27smh2Frrd46YIY,12155 +torch/distributed/algorithms/_comm_hooks/__init__.py,sha256=4jm0yFOaLYG7lA-2gV2vvGlvcZj3SlBFU7p6EtgfIUE,131 +torch/distributed/algorithms/_comm_hooks/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/algorithms/_comm_hooks/__pycache__/default_hooks.cpython-310.pyc,, +torch/distributed/algorithms/_comm_hooks/default_hooks.py,sha256=8PV7G7Vxr85YL79KqeT717XAC3zl07x8HYLx9mB_31o,7138 +torch/distributed/algorithms/_optimizer_overlap/__init__.py,sha256=zuKlfE0DcQCZm0av9HrJZfXH6R5AzV2K3xrEAAgoVsk,52 +torch/distributed/algorithms/_optimizer_overlap/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/algorithms/_optimizer_overlap/__pycache__/optimizer_overlap.cpython-310.pyc,, +torch/distributed/algorithms/_optimizer_overlap/optimizer_overlap.py,sha256=RzR3T19mKiLResEho623UcPHQfZcKtg7YXNYjImvWb8,3723 +torch/distributed/algorithms/_quantization/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/distributed/algorithms/_quantization/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/algorithms/_quantization/__pycache__/quantization.cpython-310.pyc,, +torch/distributed/algorithms/_quantization/quantization.py,sha256=WbKyBchJpyH-vqWs2nMQqQcwe4y9bEHYZ9lFv6Ydn88,5560 +torch/distributed/algorithms/ddp_comm_hooks/__init__.py,sha256=M61ygTtpOrmI3LdEpjG7jGMiSG4xCq3UrtjaP-1D9yY,3390 +torch/distributed/algorithms/ddp_comm_hooks/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/algorithms/ddp_comm_hooks/__pycache__/ddp_zero_hook.cpython-310.pyc,, +torch/distributed/algorithms/ddp_comm_hooks/__pycache__/debugging_hooks.cpython-310.pyc,, +torch/distributed/algorithms/ddp_comm_hooks/__pycache__/default_hooks.cpython-310.pyc,, +torch/distributed/algorithms/ddp_comm_hooks/__pycache__/mixed_precision_hooks.cpython-310.pyc,, +torch/distributed/algorithms/ddp_comm_hooks/__pycache__/optimizer_overlap_hooks.cpython-310.pyc,, +torch/distributed/algorithms/ddp_comm_hooks/__pycache__/post_localSGD_hook.cpython-310.pyc,, +torch/distributed/algorithms/ddp_comm_hooks/__pycache__/powerSGD_hook.cpython-310.pyc,, +torch/distributed/algorithms/ddp_comm_hooks/__pycache__/quantization_hooks.cpython-310.pyc,, +torch/distributed/algorithms/ddp_comm_hooks/ddp_zero_hook.py,sha256=CB2xsf6o2EJ8vkYg67JKUNOiYk3anIzRUh-yvSGYntA,19590 +torch/distributed/algorithms/ddp_comm_hooks/debugging_hooks.py,sha256=BrAI1CsKR-Uz85Q-JcaAqySkcGS5SgodA8BMofsDZW8,1146 +torch/distributed/algorithms/ddp_comm_hooks/default_hooks.py,sha256=6YHGlVc6mWWpVnfGeRkfFSFHkhn1tSeMp1sIFbUTxnU,7591 +torch/distributed/algorithms/ddp_comm_hooks/mixed_precision_hooks.py,sha256=rHpdb7LY5CT7yTCrKbfGVWPweawlOTxW7Pa8Bno6UG4,3306 +torch/distributed/algorithms/ddp_comm_hooks/optimizer_overlap_hooks.py,sha256=HwRk5CvdG7bzy7-XjYXmhIQwcflA9GgerZ92U9MTSTs,6030 +torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py,sha256=_KKVGohLpcpNbaSN3VEvYiPuE0_ahJdalfMV-jVnJ7E,4834 +torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py,sha256=-PV6aKFee2tJ3e6Hc5N6pFl5SrjgmKtxojBXYr6WWX0,40020 +torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py,sha256=Frke2Kq37pxcnuC2K2Q0F_nUlDejK69eWyv49CcCW20,8206 +torch/distributed/algorithms/join.py,sha256=Sf0Uv_1_gDeySyO59P81AYf14--WNlTF_Z7bqdyD-Lc,13348 +torch/distributed/algorithms/model_averaging/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/distributed/algorithms/model_averaging/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/algorithms/model_averaging/__pycache__/averagers.cpython-310.pyc,, +torch/distributed/algorithms/model_averaging/__pycache__/hierarchical_model_averager.cpython-310.pyc,, +torch/distributed/algorithms/model_averaging/__pycache__/utils.cpython-310.pyc,, +torch/distributed/algorithms/model_averaging/averagers.py,sha256=pZm6dlJiM-i7ByNw_QGKoU4qtDf1k08zkN-AK1J37Rg,5204 +torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py,sha256=4HPOl1spaiU8_hH8LeTD3_kPXXMOCNd4E5z08PbneOQ,9667 +torch/distributed/algorithms/model_averaging/utils.py,sha256=p_bl7MYURK9as7IU7y4S5d2ZnfBOaf7vpGAkbVBvGxc,3022 +torch/distributed/argparse_util.py,sha256=OnEhF81vqdzUyyqQ33_KOTKqGDQ-y0lTgu5E5Fe33B0,3875 +torch/distributed/autograd/__init__.py,sha256=DAXK0mG7CBW37subs8YuTkj__mT3Vjx90Y6KOR6zNXA,1630 +torch/distributed/autograd/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/c10d_logger.py,sha256=FrxiGFQ3rUZ6KQjkHYcvhsLnfG8zLAYIU3xo02u0CIc,2936 +torch/distributed/checkpoint/__init__.py,sha256=bT5yzxnDdCtTshY8uFn4oAcTws_fmvkM5PVyhyzH7OQ,612 +torch/distributed/checkpoint/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/_dedup_tensors.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/_fsspec_filesystem.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/_nested_dict.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/_sharded_tensor_utils.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/_state_dict_utils.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/_traverse.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/api.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/default_planner.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/filesystem.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/metadata.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/optimizer.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/planner.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/planner_helpers.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/resharding.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/state_dict.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/state_dict_loader.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/state_dict_saver.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/stateful.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/storage.cpython-310.pyc,, +torch/distributed/checkpoint/__pycache__/utils.cpython-310.pyc,, +torch/distributed/checkpoint/_dedup_tensors.py,sha256=eY6T9LsM0gBdVoGINZdbLZSgIDrcAd2eVRjARP91_DI,1950 +torch/distributed/checkpoint/_fsspec_filesystem.py,sha256=RMO1Bl8auyFxWpCJKSsYW2AbCZkpwYTi-6fTOdLsp90,15953 +torch/distributed/checkpoint/_nested_dict.py,sha256=0C2O4TVvrxwDE0e3Xo4lxbB0QEC5ZKgLu5JAi5zDQ1s,1846 +torch/distributed/checkpoint/_sharded_tensor_utils.py,sha256=75FqnJieBNQKQVgVqdt5b504gMwGM74urCo_2LSm99A,4177 +torch/distributed/checkpoint/_state_dict_utils.py,sha256=oG4_w5T3zoZ0d9fXMiCifko5Ozc4a_Su8GYW_N9n4PA,7429 +torch/distributed/checkpoint/_traverse.py,sha256=gIb9JjLmLpkz2QhEPe6NUN-GnDF_kbADH5FPcEW6xy8,5466 +torch/distributed/checkpoint/api.py,sha256=jitqRqyuazw1IhECxsea60CDi7zHHUkm7yvU3pxb2Ac,1436 +torch/distributed/checkpoint/default_planner.py,sha256=xL92QuheE0y_p1srTNLPi51BH-ccZ3l9_DAMeXS7jAI,14617 +torch/distributed/checkpoint/filesystem.py,sha256=FYSO710nHhjPJbQ3fF0Y8qntCKmBFd-YW49LVfTf-jM,15811 +torch/distributed/checkpoint/metadata.py,sha256=hITh3RlmoeBlbTN456IIJHIXvOSogRWKxp2zh4J5u90,2436 +torch/distributed/checkpoint/optimizer.py,sha256=X15d7jyidOXRufZlNifkdHT1r5BppJMwbYMshwaYLK4,12790 +torch/distributed/checkpoint/planner.py,sha256=5r1KOn329B0PcEKx6EIr9OiaJcyy9deLu8ieDT7HEro,13553 +torch/distributed/checkpoint/planner_helpers.py,sha256=yoQd9tMOWDqBTFP1_8OHv0JAO06qFsIh-0KfPs87bZw,8611 +torch/distributed/checkpoint/resharding.py,sha256=NUBEQfw3oCGv9rDbJqg2R2CljWo_n2AD9DNxOb4-ep8,2330 +torch/distributed/checkpoint/state_dict.py,sha256=XXjH3dKb3vwStJSMjlDM8IusuqzTpQ1_i4azQgm_XX8,36789 +torch/distributed/checkpoint/state_dict_loader.py,sha256=3Wki81Ji4AvkcDRZxMn6Th4qlnashkhx6laz_kfw9LU,6493 +torch/distributed/checkpoint/state_dict_saver.py,sha256=kSo58n76PP6uOBbLWXrRsa1qzqO9Ltk10OnLfqOVAxA,5982 +torch/distributed/checkpoint/stateful.py,sha256=9w0B6EryuHplc__TUjisn_ZHf9NbdyENLcUtjyZB5Is,1068 +torch/distributed/checkpoint/storage.py,sha256=PPvI7YYIi-TqbAzuvj2mnNiLXJgdun881tx8_pFPyJ0,7013 +torch/distributed/checkpoint/utils.py,sha256=0PNRTC54EwAhMs0ULQxzFKle_OHDt5zfCOgsIhkIGP0,12801 +torch/distributed/collective_utils.py,sha256=nzzr9rddeLevK0e_pv1fvZyBekQLT3OF2AcKPNPKbZ8,7250 +torch/distributed/constants.py,sha256=B1TcHTtqsrH_766_aUv-HmXvT22yUWdufw9brUEtgzg,1226 +torch/distributed/device_mesh.py,sha256=kojYnWsR0Ih3_7IkLYojZAi4kud9iltdqTHObqMYg6s,23353 +torch/distributed/distributed_c10d.py,sha256=puiTeu_pEYxUn76sJ88xDzju-ViNkLzrQ2KAsBdk-FA,159393 +torch/distributed/elastic/__init__.py,sha256=QMPilFK2QkDj895i4fqrtE5bzyO55GJkV4t4EM_1Qzw,3654 +torch/distributed/elastic/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/elastic/agent/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/distributed/elastic/agent/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/elastic/agent/server/__init__.py,sha256=p6OmZ3UC2RN276H3JLUZm0ygZ1GBWRcOOq4OQwozTo4,1401 +torch/distributed/elastic/agent/server/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/elastic/agent/server/__pycache__/api.cpython-310.pyc,, +torch/distributed/elastic/agent/server/__pycache__/local_elastic_agent.cpython-310.pyc,, +torch/distributed/elastic/agent/server/api.py,sha256=TqzVd5C2Nji8ycRhqzR-_GNQhS3PxZAOMoPLQlwMlMQ,36548 +torch/distributed/elastic/agent/server/local_elastic_agent.py,sha256=vXAB-MLSHu3h7EDGLhYI_MZyswcTxBa8gW-WCYwmDRE,14685 +torch/distributed/elastic/events/__init__.py,sha256=HUVFeUQqsNLVe_Gtp4GiSKXk-oudJ5qIPuhE8M746sk,3933 +torch/distributed/elastic/events/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/elastic/events/__pycache__/api.cpython-310.pyc,, +torch/distributed/elastic/events/__pycache__/handlers.cpython-310.pyc,, +torch/distributed/elastic/events/api.py,sha256=T-84_qb_TwD--WVsf5MJzMZy5DiGf2iPgi5C6lZVaBc,3153 +torch/distributed/elastic/events/handlers.py,sha256=MZLZ2QRkTo6n_XZq-9NY8cSPjOjJoPyfs3grPOLigIc,580 +torch/distributed/elastic/metrics/__init__.py,sha256=xYiClK41CDB1cK4NSqjqNPCC4TPGyVvDsLJqChs5Kns,4853 +torch/distributed/elastic/metrics/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/elastic/metrics/__pycache__/api.cpython-310.pyc,, +torch/distributed/elastic/metrics/api.py,sha256=QpF-uaQrbJ94puel2a7ewxFCRHNThLm1eqZNiuwH1oM,5480 +torch/distributed/elastic/multiprocessing/__init__.py,sha256=NScIdrIcKZ9tV4dmkT_CznFtpv43Ef8dRcD_iwwhgtA,9830 +torch/distributed/elastic/multiprocessing/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/elastic/multiprocessing/__pycache__/api.cpython-310.pyc,, +torch/distributed/elastic/multiprocessing/__pycache__/redirects.cpython-310.pyc,, +torch/distributed/elastic/multiprocessing/__pycache__/tail_log.cpython-310.pyc,, +torch/distributed/elastic/multiprocessing/api.py,sha256=qvsBpxwIQWCEk4rEiNAGErKciAuxTtdGoA6hDQ2Anik,26226 +torch/distributed/elastic/multiprocessing/errors/__init__.py,sha256=I8o1XuPvjUtsir6f9CT5FHjGGg_m5cOuDwWOMIIRjxg,13964 +torch/distributed/elastic/multiprocessing/errors/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/elastic/multiprocessing/errors/__pycache__/error_handler.cpython-310.pyc,, +torch/distributed/elastic/multiprocessing/errors/__pycache__/handlers.cpython-310.pyc,, +torch/distributed/elastic/multiprocessing/errors/error_handler.py,sha256=ag_ceAEWG26fjh9PanypfBbQI5DKZxITGIbjIHSDzDI,6464 +torch/distributed/elastic/multiprocessing/errors/handlers.py,sha256=lzVFjdwD0zNLMO4IHJQkwj0DnYoapEb1l_7c6xQzC00,446 +torch/distributed/elastic/multiprocessing/redirects.py,sha256=JVaedTer58eMpuvEnfticr1wzUqwmCovPm21yVRySBE,2736 +torch/distributed/elastic/multiprocessing/tail_log.py,sha256=jdE0aUx02oJleH_P3j79ICZVSMlPqi6sIg8p-hozm_U,4830 +torch/distributed/elastic/rendezvous/__init__.py,sha256=d9Ji5qaCnD02jVNrc0Q95_OnmntsMtwyVJUQ2ufUnzM,5816 +torch/distributed/elastic/rendezvous/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/elastic/rendezvous/__pycache__/api.cpython-310.pyc,, +torch/distributed/elastic/rendezvous/__pycache__/c10d_rendezvous_backend.cpython-310.pyc,, +torch/distributed/elastic/rendezvous/__pycache__/dynamic_rendezvous.cpython-310.pyc,, +torch/distributed/elastic/rendezvous/__pycache__/etcd_rendezvous.cpython-310.pyc,, +torch/distributed/elastic/rendezvous/__pycache__/etcd_rendezvous_backend.cpython-310.pyc,, +torch/distributed/elastic/rendezvous/__pycache__/etcd_server.cpython-310.pyc,, +torch/distributed/elastic/rendezvous/__pycache__/etcd_store.cpython-310.pyc,, +torch/distributed/elastic/rendezvous/__pycache__/registry.cpython-310.pyc,, +torch/distributed/elastic/rendezvous/__pycache__/static_tcp_rendezvous.cpython-310.pyc,, +torch/distributed/elastic/rendezvous/__pycache__/utils.cpython-310.pyc,, +torch/distributed/elastic/rendezvous/api.py,sha256=BfOC5aWnJDU4Am495BCFrfHFziKqBsWI6wkvBmutvBI,9168 +torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py,sha256=IWey6-IwnUH3BsWBoHSMo1V0_U4ymHcTwVuxiBFYrH0,10652 +torch/distributed/elastic/rendezvous/dynamic_rendezvous.py,sha256=XsSKdePCsPylLGfoQaNuuyytl1OqHVDvoidn8KZ2zhs,41054 +torch/distributed/elastic/rendezvous/etcd_rendezvous.py,sha256=XDnn9B5U2VLGmG13gezFCwfRRRVg9nRhPwt3da-sWj4,42583 +torch/distributed/elastic/rendezvous/etcd_rendezvous_backend.py,sha256=rDZewdk7NNTQ0CPXHBuH7OZ3hkcMnWK4Ge3iO28RcC4,7407 +torch/distributed/elastic/rendezvous/etcd_server.py,sha256=1dgNzHeISYvhfXpigDd9_qUgTLge_qnl1JPc7rb0Uac,8352 +torch/distributed/elastic/rendezvous/etcd_store.py,sha256=dR2RJPFX45B7DtYawZ7AdETbnt7BTOvQ5Ib3CV1Kvgg,6927 +torch/distributed/elastic/rendezvous/registry.py,sha256=w5XlCcQdE3Vuojo3qJsmJyqdydTYeOMOpbTmIcxHA5Q,2233 +torch/distributed/elastic/rendezvous/static_tcp_rendezvous.py,sha256=0Vv2R-TdBb_vo_Jm8cbh1IhbWjDkYPw-hN8YGflYlGw,3287 +torch/distributed/elastic/rendezvous/utils.py,sha256=EWKKEPuT1_ft7yGwr2MHfh6bFj4KlwKZCWJ8hi0B1rU,8355 +torch/distributed/elastic/timer/__init__.py,sha256=GYolVqGTBcFKb-3J1qBNs_57oS_hinySSCymd2hRryk,1708 +torch/distributed/elastic/timer/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/elastic/timer/__pycache__/api.cpython-310.pyc,, +torch/distributed/elastic/timer/__pycache__/file_based_local_timer.cpython-310.pyc,, +torch/distributed/elastic/timer/__pycache__/local_timer.cpython-310.pyc,, +torch/distributed/elastic/timer/api.py,sha256=1NcJOJEfqELXJPWAa008xXXLzB2_F8jeeVOlaFnH-O4,9586 +torch/distributed/elastic/timer/file_based_local_timer.py,sha256=LJTEc4Z_syVnUvPGl3wwQkQfufR2OCXg05h_f13SP_w,13447 +torch/distributed/elastic/timer/local_timer.py,sha256=NiYJD3rBsavtpqVBFCqy0DU6cIpz4q-UE9uWQ2HnDr0,4273 +torch/distributed/elastic/utils/__init__.py,sha256=ztvtzgzf5pR1ixbbYfY0lGx85VhyhJuHH8er7-XNVpE,318 +torch/distributed/elastic/utils/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/elastic/utils/__pycache__/api.cpython-310.pyc,, +torch/distributed/elastic/utils/__pycache__/distributed.cpython-310.pyc,, +torch/distributed/elastic/utils/__pycache__/log_level.cpython-310.pyc,, +torch/distributed/elastic/utils/__pycache__/logging.cpython-310.pyc,, +torch/distributed/elastic/utils/__pycache__/store.cpython-310.pyc,, +torch/distributed/elastic/utils/api.py,sha256=AbWf1QIenzn9YVkPrRZispFc61jhf-LvRWawFCMya5s,1716 +torch/distributed/elastic/utils/data/__init__.py,sha256=tF96JUuxZmWRkvGOzP7tbZT6s8CKNz29F6O_OYTcL3o,372 +torch/distributed/elastic/utils/data/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/elastic/utils/data/__pycache__/cycling_iterator.cpython-310.pyc,, +torch/distributed/elastic/utils/data/__pycache__/elastic_distributed_sampler.cpython-310.pyc,, +torch/distributed/elastic/utils/data/cycling_iterator.py,sha256=FIzrgqtQWfwvXlWgsEJN-2AqkNA1lDjNIUR3Jg7bAIk,1376 +torch/distributed/elastic/utils/data/elastic_distributed_sampler.py,sha256=8BcZnx3Kj-89LlQ8oDbbLCXInsQtasJIf5IZir2XK54,2456 +torch/distributed/elastic/utils/distributed.py,sha256=H8AB8Lhdy8WhgX7F3OGnKf2s-g9bp1hl_FxsBFjx-_4,4639 +torch/distributed/elastic/utils/log_level.py,sha256=1pOw0YanV5aPrMGwqkATk8OTXm6iLF2iuUYKbUf1b6Q,339 +torch/distributed/elastic/utils/logging.py,sha256=LTd0wNSQeQAzUYrHtriefdjOEmDojIoeL0IjOqXGxSE,2226 +torch/distributed/elastic/utils/store.py,sha256=dI6JCBW2WN74BuRtO5ZG-jbY0aqctVXvhXJQBDRtagk,2495 +torch/distributed/fsdp/__init__.py,sha256=E6Efha39xJvdMn-5MFP7pBf9ITWCqfRRaNym7dvfYrc,938 +torch/distributed/fsdp/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/_common_utils.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/_debug_utils.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/_dynamo_utils.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/_exec_order_utils.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/_flat_param.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/_fsdp_extensions.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/_init_utils.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/_limiter_utils.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/_optim_utils.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/_runtime_utils.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/_shard_utils.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/_state_dict_utils.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/_trace_utils.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/_traversal_utils.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/_unshard_param_utils.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/_wrap_utils.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/api.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/fully_sharded_data_parallel.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/sharded_grad_scaler.cpython-310.pyc,, +torch/distributed/fsdp/__pycache__/wrap.cpython-310.pyc,, +torch/distributed/fsdp/_common_utils.py,sha256=1d27fSVu07qpEie2bWRgWfp5glH5woMebwVaymOD5Gc,23181 +torch/distributed/fsdp/_debug_utils.py,sha256=z2uVtCf2QmBKw7SjkEkAiGvebD_CSJNcpnjZXaeMpJg,5452 +torch/distributed/fsdp/_dynamo_utils.py,sha256=wFowGHvceCtXMrE-BPUgt9JoO1mFX6sue4B1Ny5c0Qc,2647 +torch/distributed/fsdp/_exec_order_utils.py,sha256=dr_tpjZjBo331YSPaUelp8CHP9ZPoNUY3q2t6z4Kpuo,16095 +torch/distributed/fsdp/_flat_param.py,sha256=8m1Vw69tPih6kU0Hz3uyAZ-hxcQ23qm-9v-cL7QF6K0,120247 +torch/distributed/fsdp/_fsdp_extensions.py,sha256=UIEZ9Yn58M0Hkpx-jdARqzISbqQGEodX2mHwOYwJOzY,4970 +torch/distributed/fsdp/_init_utils.py,sha256=xE4bl1eUOtvWUc9nnI42LTxMCqs9gn-ROu76DaMeSyk,45159 +torch/distributed/fsdp/_limiter_utils.py,sha256=DHelPE9Dk2OSuSW_i4xogTRUV6_rK95A2VOWBS8fOYg,1101 +torch/distributed/fsdp/_optim_utils.py,sha256=blyvqpc6epFwDpIOd7rqKPXdLMfyr_PfVExRhz5Ai4M,86732 +torch/distributed/fsdp/_runtime_utils.py,sha256=dz0_dWjCmRO0mzCBO8fyNcCCLuiMJy7j2BAx8-zittY,63133 +torch/distributed/fsdp/_shard_utils.py,sha256=qElc8v739SSZ3iwkXPQcREFq37O3KFx40jXQ-1Yt_6U,4266 +torch/distributed/fsdp/_state_dict_utils.py,sha256=nZ_aDHEmkAbxCIwEA5poOBk8JbYtFNZhoguD7omaI4I,33915 +torch/distributed/fsdp/_trace_utils.py,sha256=CbVI58i0YXiOpz7Xvsy7NvYxKvMhsh-FMwtTwjOGu9s,10548 +torch/distributed/fsdp/_traversal_utils.py,sha256=scEaKCmS4eUIOs0nUEDDAE5C23BPi8eSsNF5ngQ_yVE,4641 +torch/distributed/fsdp/_unshard_param_utils.py,sha256=bYs5hdMwt-Z9yXYWdeg8eeB-35t5Fgh_47l4Tkg8yAg,12415 +torch/distributed/fsdp/_wrap_utils.py,sha256=qlKsQeb8v-yYTWoBuNUoQEfFoyA_OP-ICVLLpYO0RTk,10899 +torch/distributed/fsdp/api.py,sha256=WUsu5jwRQ6R3Tci0tWOAczmXXmIM5XLqFEOpHGQRtIw,18880 +torch/distributed/fsdp/fully_sharded_data_parallel.py,sha256=0jR-85EJeHBGb5kpTpUWFHNyVyWuhZBje3gyFSmgY1U,96299 +torch/distributed/fsdp/sharded_grad_scaler.py,sha256=tlrXS7xkBOhtu_Ql3zUR1nDaEQZqBDaf8FbVsnBdVw8,17247 +torch/distributed/fsdp/wrap.py,sha256=25f9KKZFrB42nKn9eo9U_QSIMHppm8tsNCdVs1TR-yk,22604 +torch/distributed/launch.py,sha256=-laDh_mwMHFTJsuCqjfKGIBPxD9cZCb4DW_4n0eU9_4,6909 +torch/distributed/launcher/__init__.py,sha256=6_8OrtT4YsaDG4MGEH2I8TXcokQQZKyYkahGOFRUYFg,349 +torch/distributed/launcher/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/launcher/__pycache__/api.cpython-310.pyc,, +torch/distributed/launcher/api.py,sha256=7xggqVVdcCnecK8ZqS5adHdQpe4DeRdnb6b_ztIcXFw,11136 +torch/distributed/logging_handlers.py,sha256=nfWJ7C4I3VkGNoVR9CH5yKIGYxAPa0KC8KQ_KAwFs8Y,388 +torch/distributed/nn/__init__.py,sha256=CDVu-SnwRQGyzKp37_uPHzbCAHA8amiVLyuGgTVYxyM,142 +torch/distributed/nn/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/nn/__pycache__/functional.cpython-310.pyc,, +torch/distributed/nn/api/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/distributed/nn/api/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/nn/api/__pycache__/remote_module.cpython-310.pyc,, +torch/distributed/nn/api/remote_module.py,sha256=VfuUy5uFFl3QYS8W8k7D4QqfpHfnjJkyyFoymj2QB1I,31226 +torch/distributed/nn/functional.py,sha256=l7fsj7YDNF3jk0CKpTSqrnxXs5A_je9CNK6mswGzGsg,15033 +torch/distributed/nn/jit/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/distributed/nn/jit/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/nn/jit/__pycache__/instantiator.cpython-310.pyc,, +torch/distributed/nn/jit/instantiator.py,sha256=G_EPpXxv2xDSUnWAPrRARA9vTjiDHPZu8C_pJ_FcrGU,5432 +torch/distributed/nn/jit/templates/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/distributed/nn/jit/templates/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/nn/jit/templates/__pycache__/remote_module_template.cpython-310.pyc,, +torch/distributed/nn/jit/templates/remote_module_template.py,sha256=Z5hWZ8FT3qw9twQIRhAaP5LedD947B37fdhO7WjvtLA,3436 +torch/distributed/optim/__init__.py,sha256=Vp2hCs2X2TQRozflDNwJhNKYJ5FZqJYZcY5OYvIHhT0,1292 +torch/distributed/optim/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/optim/__pycache__/apply_optimizer_in_backward.cpython-310.pyc,, +torch/distributed/optim/__pycache__/functional_adadelta.cpython-310.pyc,, +torch/distributed/optim/__pycache__/functional_adagrad.cpython-310.pyc,, +torch/distributed/optim/__pycache__/functional_adam.cpython-310.pyc,, +torch/distributed/optim/__pycache__/functional_adamax.cpython-310.pyc,, +torch/distributed/optim/__pycache__/functional_adamw.cpython-310.pyc,, +torch/distributed/optim/__pycache__/functional_rmsprop.cpython-310.pyc,, +torch/distributed/optim/__pycache__/functional_rprop.cpython-310.pyc,, +torch/distributed/optim/__pycache__/functional_sgd.cpython-310.pyc,, +torch/distributed/optim/__pycache__/named_optimizer.cpython-310.pyc,, +torch/distributed/optim/__pycache__/optimizer.cpython-310.pyc,, +torch/distributed/optim/__pycache__/post_localSGD_optimizer.cpython-310.pyc,, +torch/distributed/optim/__pycache__/utils.cpython-310.pyc,, +torch/distributed/optim/__pycache__/zero_redundancy_optimizer.cpython-310.pyc,, +torch/distributed/optim/apply_optimizer_in_backward.py,sha256=rkhwDr-87m5DExg6DCbcmUwAgxFdHjynPa_Ojaz-kUU,5184 +torch/distributed/optim/functional_adadelta.py,sha256=C_TTlsi9cfKmxDBIwS2BB7S4FCpVqBtFRQvYGnOpvUE,3643 +torch/distributed/optim/functional_adagrad.py,sha256=QYjWJsCmcKBud5spNfPoVjRAZnzIlzrzuwnKQRA7sPM,3943 +torch/distributed/optim/functional_adam.py,sha256=42O8RZL_R_c4UXWhGhQgTQ0J8_uYHF7LCBq9rDhXleg,7226 +torch/distributed/optim/functional_adamax.py,sha256=qq7pP9_parnr_W3smeKD-gXcSR0YrpbwXv4vhwSDxKA,4452 +torch/distributed/optim/functional_adamw.py,sha256=_IOmcxC7C6sA6m7R1q9QJErxKN0xISB6NM0aKEmDAJA,7346 +torch/distributed/optim/functional_rmsprop.py,sha256=hSXooxo6vjoFDgdV3zrw-GZAlsvaoT5oIZ0L2u87ltQ,4409 +torch/distributed/optim/functional_rprop.py,sha256=5Qd-wB7hYJpOSOKvztIfn0JHUzOjc3fmw6_pmniw5CY,3571 +torch/distributed/optim/functional_sgd.py,sha256=42uH_rLP8uDymbcYvn2JRB4_VQaAKY_Obo1oegeEEwY,5478 +torch/distributed/optim/named_optimizer.py,sha256=pLBJBitOp--aX4sk9jdzGkrhPAsVuRa03fQHKoEHdBc,14038 +torch/distributed/optim/optimizer.py,sha256=SGqcIz2WKu7Ui2sxPwFjWKgSZo2psjejh6nf20QcPdw,9799 +torch/distributed/optim/post_localSGD_optimizer.py,sha256=FIO63LwKfxAhdas7KiFjn8HI4VGcxmU7mM6WvdZEqrU,4387 +torch/distributed/optim/utils.py,sha256=tgS4YK47bg62nU033cFK7PREgHdK7SspF3iPqN_j5ig,2237 +torch/distributed/optim/zero_redundancy_optimizer.py,sha256=fMdi7AtUGUosc2I4HEH7UhxIrBvP6MNKFQqrH4bvB2A,71905 +torch/distributed/pipeline/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/distributed/pipeline/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/pipeline/sync/__init__.py,sha256=uhP_i4WFCSNOnHd8ZNss8XVDX2VSMexbuzHrORvdXAI,451 +torch/distributed/pipeline/sync/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/pipeline/sync/__pycache__/batchnorm.cpython-310.pyc,, +torch/distributed/pipeline/sync/__pycache__/checkpoint.cpython-310.pyc,, +torch/distributed/pipeline/sync/__pycache__/copy.cpython-310.pyc,, +torch/distributed/pipeline/sync/__pycache__/dependency.cpython-310.pyc,, +torch/distributed/pipeline/sync/__pycache__/microbatch.cpython-310.pyc,, +torch/distributed/pipeline/sync/__pycache__/phony.cpython-310.pyc,, +torch/distributed/pipeline/sync/__pycache__/pipe.cpython-310.pyc,, +torch/distributed/pipeline/sync/__pycache__/pipeline.cpython-310.pyc,, +torch/distributed/pipeline/sync/__pycache__/stream.cpython-310.pyc,, +torch/distributed/pipeline/sync/__pycache__/utils.cpython-310.pyc,, +torch/distributed/pipeline/sync/__pycache__/worker.cpython-310.pyc,, +torch/distributed/pipeline/sync/_balance/__init__.py,sha256=kyd1b1tK5iU57JeJ_exCkDlF33noUq2ePBWPfAPM45s,5316 +torch/distributed/pipeline/sync/_balance/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/pipeline/sync/_balance/__pycache__/blockpartition.cpython-310.pyc,, +torch/distributed/pipeline/sync/_balance/__pycache__/profile.cpython-310.pyc,, +torch/distributed/pipeline/sync/_balance/blockpartition.py,sha256=t0zBDjTHzFcrUqgyKKCHyrSrTAZPuiM66q28U66XfZQ,3161 +torch/distributed/pipeline/sync/_balance/profile.py,sha256=l0Fa3C7zRxyypCH-CftV6YeyUf52i74Mcj_lva8l_oA,3641 +torch/distributed/pipeline/sync/batchnorm.py,sha256=hoeOE3Rvjt6NMzk6s-5aBFwmXZ3W1buSfnv113dJizo,5565 +torch/distributed/pipeline/sync/checkpoint.py,sha256=xCjcEffR_C00q4M9IXpE7d7n75E67d3STLZe7rjf8KU,11675 +torch/distributed/pipeline/sync/copy.py,sha256=xoEk7yUwRTsyoC1rWSRQUvMCiwpD0eXDMICb9CQ-Aeg,3742 +torch/distributed/pipeline/sync/dependency.py,sha256=kkgsCnPpymlRBFIn0II4k7yElb63F09l9qXOLZ6-iNI,1723 +torch/distributed/pipeline/sync/microbatch.py,sha256=fOahRulgcFvCFFH3Dvswg_BCmOS5ZS5zbMrVzjXoRSI,7481 +torch/distributed/pipeline/sync/phony.py,sha256=945WRixiRATTIO02UJYWGl4FmCd08OtRH4b_ydEle2A,1547 +torch/distributed/pipeline/sync/pipe.py,sha256=DFEWhDkRdSeoGEefGAIh_7qM3ZsE7HGgMGVYLQBracc,18104 +torch/distributed/pipeline/sync/pipeline.py,sha256=Pgvj51VM2kTc9flhl4rE7hK8nREcurUYUV37hDLqDs8,9603 +torch/distributed/pipeline/sync/skip/__init__.py,sha256=AuGBWFk0ybIpaWbXk5fWyrxSSSrgzYp4X6nFeD9opaQ,450 +torch/distributed/pipeline/sync/skip/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/pipeline/sync/skip/__pycache__/layout.cpython-310.pyc,, +torch/distributed/pipeline/sync/skip/__pycache__/namespace.cpython-310.pyc,, +torch/distributed/pipeline/sync/skip/__pycache__/portal.cpython-310.pyc,, +torch/distributed/pipeline/sync/skip/__pycache__/skippable.cpython-310.pyc,, +torch/distributed/pipeline/sync/skip/__pycache__/tracker.cpython-310.pyc,, +torch/distributed/pipeline/sync/skip/layout.py,sha256=6fm6FZSgUha-7_5aNt9Zj7NnAhQpe5vEQdJMOFwZpk0,3350 +torch/distributed/pipeline/sync/skip/namespace.py,sha256=w2jgNJvZ2tcX8EfWteT-syRBzwf96-Q6LdWqzuQxCVw,1465 +torch/distributed/pipeline/sync/skip/portal.py,sha256=8kmrs5CbgBTBlt_nl7R9_A26i3WHNtAThQFzDz95Y7s,7227 +torch/distributed/pipeline/sync/skip/skippable.py,sha256=MF7qyRH-PxxMoYcmFzwhtpwDoaeRbe8EukMPUS73gaA,13904 +torch/distributed/pipeline/sync/skip/tracker.py,sha256=X0B-WnGcP3mvWais7cF_D-IOgfyvwik3IW35g1wUwoM,6164 +torch/distributed/pipeline/sync/stream.py,sha256=R26914UoAFqKHpCEzWRfIYnlyPUcs8cSSA0Di4irPRo,4019 +torch/distributed/pipeline/sync/utils.py,sha256=v2Iq_Zen3GcCdHZF_LTcfk4OiT6dRVvdzrznHznWn3Q,1252 +torch/distributed/pipeline/sync/worker.py,sha256=J2wInTXH_tfMbszvk5YOEgzVj0MPIS-pDq_KOKPNUSw,4331 +torch/distributed/remote_device.py,sha256=XYyNCzXnkBy-kzVjB3pNn1ZFQXmw8bWYmg73rvpyUH4,4683 +torch/distributed/rendezvous.py,sha256=GoDGoAK8n6PHa7MWvGT992_86DcFI1zIWFBW4IYXoZE,9183 +torch/distributed/rpc/__init__.py,sha256=fA9fwZqVQAp4oFCK_ykczS0s50rqeqXOlnAkpj1JWRM,9696 +torch/distributed/rpc/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/rpc/__pycache__/_utils.cpython-310.pyc,, +torch/distributed/rpc/__pycache__/api.cpython-310.pyc,, +torch/distributed/rpc/__pycache__/backend_registry.cpython-310.pyc,, +torch/distributed/rpc/__pycache__/constants.cpython-310.pyc,, +torch/distributed/rpc/__pycache__/functions.cpython-310.pyc,, +torch/distributed/rpc/__pycache__/internal.cpython-310.pyc,, +torch/distributed/rpc/__pycache__/options.cpython-310.pyc,, +torch/distributed/rpc/__pycache__/rref_proxy.cpython-310.pyc,, +torch/distributed/rpc/__pycache__/server_process_global_profiler.cpython-310.pyc,, +torch/distributed/rpc/_testing/__init__.py,sha256=dfg3h9fCYdgDbGDt6ezrqW5QgfUbVHqUcJKInWa-yEU,471 +torch/distributed/rpc/_testing/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/rpc/_testing/__pycache__/faulty_agent_backend_registry.cpython-310.pyc,, +torch/distributed/rpc/_testing/faulty_agent_backend_registry.py,sha256=vQuOGeuMGNZPdJtkmeCPs83z0bL5PBK8Op3eSkdLnzw,1640 +torch/distributed/rpc/_utils.py,sha256=kYVtyE3PvQ2RvK8qLzGtFKHT1wh3dgk91QH6_uyGUJc,1534 +torch/distributed/rpc/api.py,sha256=-x_gpSUnZTu3aybIwMCLWX_Et46_vJDNFUWXabWxm1c,36903 +torch/distributed/rpc/backend_registry.py,sha256=3wqiOggOjkw9-lv89siK-R4nZ_tn7_wOCSL7J1DXZcw,16265 +torch/distributed/rpc/constants.py,sha256=q2cZRiFvagx_AOD1k0EtLBuHf4kvbLQplYYZUdQrdlc,829 +torch/distributed/rpc/functions.py,sha256=-CtPSL1kA2RcgVunt7CUivokfV5baRQA8KIGUwxJUok,7243 +torch/distributed/rpc/internal.py,sha256=QQpbxO8pmmVhOsV7MRPQ92Uva9_yCkcwoJeyL9Gzwgw,11068 +torch/distributed/rpc/options.py,sha256=oeazpS3qu4wNUI4J_enJTE8VHTFkVWbH9VdXnbEzu4A,7044 +torch/distributed/rpc/rref_proxy.py,sha256=ayNqUvfE-t03h_wP2Kk7E0hunqxspxZDOF0jDkf6rk8,2632 +torch/distributed/rpc/server_process_global_profiler.py,sha256=NPc6insrt2uBS94AYK2ZhTJnajBd1uiDKxNJMWvWxcE,8283 +torch/distributed/run.py,sha256=eDE_Wu1L738schbpWGjK19kM7uJvxM76oq7FRciaS5Y,30495 +torch/distributed/tensor/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/distributed/tensor/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/tensor/parallel/__init__.py,sha256=862q4_KMB430Gn2JdqbS5HM-i-pAhsI6VTnRSL_Z8sU,449 +torch/distributed/tensor/parallel/__pycache__/__init__.cpython-310.pyc,, +torch/distributed/tensor/parallel/__pycache__/_data_parallel_utils.cpython-310.pyc,, +torch/distributed/tensor/parallel/__pycache__/_utils.cpython-310.pyc,, +torch/distributed/tensor/parallel/__pycache__/api.cpython-310.pyc,, +torch/distributed/tensor/parallel/__pycache__/ddp.cpython-310.pyc,, +torch/distributed/tensor/parallel/__pycache__/fsdp.cpython-310.pyc,, +torch/distributed/tensor/parallel/__pycache__/input_reshard.cpython-310.pyc,, +torch/distributed/tensor/parallel/__pycache__/style.cpython-310.pyc,, +torch/distributed/tensor/parallel/_data_parallel_utils.py,sha256=uuiPIg4FfJlanZfohPNs_0PRzLADMTOEMA102qbs1IE,1467 +torch/distributed/tensor/parallel/_utils.py,sha256=0HCuKAQaJKZwv72sQoraUfAqPQSH8fpuElRFc-PKyZk,7337 +torch/distributed/tensor/parallel/api.py,sha256=SbRFnhkwSapxy0yBy5swLMLgx9DVaS0_n6-VeDwQkR4,5350 +torch/distributed/tensor/parallel/ddp.py,sha256=RFLFWhLaUn7UUE4eTtnJb9_n5bTJl0g3gEqUBDeZdV8,3532 +torch/distributed/tensor/parallel/fsdp.py,sha256=S4_RPn2kYzpEtJ9np8MIzAwbVLt91BNqKL3N4SR_Sbc,13690 +torch/distributed/tensor/parallel/input_reshard.py,sha256=_y2jwAq-cpjdzMNE33F0d7lC7YbE2wAJd2Kt4IeyyjE,3748 +torch/distributed/tensor/parallel/style.py,sha256=9U4s-pmHlPW5Pog0Iv-BYf5lqhYvGPBp-chVLpXMmz0,17614 +torch/distributed/utils.py,sha256=Uc9eU-SenCUMHKzmQzuZpZeOfE37LZjWMFaOdiKjMGE,11974 +torch/distributions/__init__.py,sha256=bYWu3MQ0KUytopIxl4WqDEjZV-eAWG779zUSKQA1v9s,6035 +torch/distributions/__pycache__/__init__.cpython-310.pyc,, +torch/distributions/__pycache__/bernoulli.cpython-310.pyc,, +torch/distributions/__pycache__/beta.cpython-310.pyc,, +torch/distributions/__pycache__/binomial.cpython-310.pyc,, +torch/distributions/__pycache__/categorical.cpython-310.pyc,, +torch/distributions/__pycache__/cauchy.cpython-310.pyc,, +torch/distributions/__pycache__/chi2.cpython-310.pyc,, +torch/distributions/__pycache__/constraint_registry.cpython-310.pyc,, +torch/distributions/__pycache__/constraints.cpython-310.pyc,, +torch/distributions/__pycache__/continuous_bernoulli.cpython-310.pyc,, +torch/distributions/__pycache__/dirichlet.cpython-310.pyc,, +torch/distributions/__pycache__/distribution.cpython-310.pyc,, +torch/distributions/__pycache__/exp_family.cpython-310.pyc,, +torch/distributions/__pycache__/exponential.cpython-310.pyc,, +torch/distributions/__pycache__/fishersnedecor.cpython-310.pyc,, +torch/distributions/__pycache__/gamma.cpython-310.pyc,, +torch/distributions/__pycache__/geometric.cpython-310.pyc,, +torch/distributions/__pycache__/gumbel.cpython-310.pyc,, +torch/distributions/__pycache__/half_cauchy.cpython-310.pyc,, +torch/distributions/__pycache__/half_normal.cpython-310.pyc,, +torch/distributions/__pycache__/independent.cpython-310.pyc,, +torch/distributions/__pycache__/inverse_gamma.cpython-310.pyc,, +torch/distributions/__pycache__/kl.cpython-310.pyc,, +torch/distributions/__pycache__/kumaraswamy.cpython-310.pyc,, +torch/distributions/__pycache__/laplace.cpython-310.pyc,, +torch/distributions/__pycache__/lkj_cholesky.cpython-310.pyc,, +torch/distributions/__pycache__/log_normal.cpython-310.pyc,, +torch/distributions/__pycache__/logistic_normal.cpython-310.pyc,, +torch/distributions/__pycache__/lowrank_multivariate_normal.cpython-310.pyc,, +torch/distributions/__pycache__/mixture_same_family.cpython-310.pyc,, +torch/distributions/__pycache__/multinomial.cpython-310.pyc,, +torch/distributions/__pycache__/multivariate_normal.cpython-310.pyc,, +torch/distributions/__pycache__/negative_binomial.cpython-310.pyc,, +torch/distributions/__pycache__/normal.cpython-310.pyc,, +torch/distributions/__pycache__/one_hot_categorical.cpython-310.pyc,, +torch/distributions/__pycache__/pareto.cpython-310.pyc,, +torch/distributions/__pycache__/poisson.cpython-310.pyc,, +torch/distributions/__pycache__/relaxed_bernoulli.cpython-310.pyc,, +torch/distributions/__pycache__/relaxed_categorical.cpython-310.pyc,, +torch/distributions/__pycache__/studentT.cpython-310.pyc,, +torch/distributions/__pycache__/transformed_distribution.cpython-310.pyc,, +torch/distributions/__pycache__/transforms.cpython-310.pyc,, +torch/distributions/__pycache__/uniform.cpython-310.pyc,, +torch/distributions/__pycache__/utils.cpython-310.pyc,, +torch/distributions/__pycache__/von_mises.cpython-310.pyc,, +torch/distributions/__pycache__/weibull.cpython-310.pyc,, +torch/distributions/__pycache__/wishart.cpython-310.pyc,, +torch/distributions/bernoulli.py,sha256=RPe79IcRj6pXAehuFqqHITSaphmhzquX3pFb1UB_DQI,4171 +torch/distributions/beta.py,sha256=ZZszB4CFP7Q2b4s0K9IpE-I6XVMhLxCGTdQjPZ4u2s0,3670 +torch/distributions/binomial.py,sha256=v1Y33-8F6jHC21Qd4rCHmEH0vsXusxOC1TTAuGYi0zI,5977 +torch/distributions/categorical.py,sha256=d3paHTqUebex4yfgPj7pzpCkes4nOnuLojaURq9azME,5777 +torch/distributions/cauchy.py,sha256=CJkDeFC_kW_2otB8Y4giaY1hQGdOj3P4xGQ9aZnesEE,2928 +torch/distributions/chi2.py,sha256=bymdtQeixiivHE20ofdid-31UMa_Fdv6BFwM1oLEpoU,974 +torch/distributions/constraint_registry.py,sha256=W9dx8uTQVLcAiEt9JM18QHVJpWYRAToAOoVSAC-34k0,10301 +torch/distributions/constraints.py,sha256=1pYC-dnr1RuE6_OlPgxTSybCMMndqWwpoo7PwK3v2xw,18615 +torch/distributions/continuous_bernoulli.py,sha256=dKyWa9aSWMOkC_0hTBPToXAfgolfoBt0vZVmBjq1UYg,8688 +torch/distributions/dirichlet.py,sha256=SHD2dPZf_ugfEpfn-zy9aOSg4WiQGNhz3GFEiJ1Qzcs,4171 +torch/distributions/distribution.py,sha256=_Pa1BbwoKlPyhkBpuqyPYAWSqWIfszYHlKlftetBqU4,12324 +torch/distributions/exp_family.py,sha256=Wts3zBJMvY6vwOyGehD1NDdu3n-x6NKZLRzGBZnTuiM,2353 +torch/distributions/exponential.py,sha256=YXwKu7AWgOUkfgVXnetM7s0nFWMfb-fANwHWtppL2MU,2438 +torch/distributions/fishersnedecor.py,sha256=IEIcWgoYBsDdK1KhXAeATlth55Msdh1ZT3Spae-BMko,3434 +torch/distributions/gamma.py,sha256=88NEzg2xhoz859PAgy69Xp7b4U5qIu4U6lhKG0dThq4,3606 +torch/distributions/geometric.py,sha256=mR4PXz5s-cvxsD_C1gnvE0gSug0qefpYUfMlt8vLzOY,4652 +torch/distributions/gumbel.py,sha256=fIfkOzOK5hleyU8cKbLEX7gzX2i_1scLSUIBJeA-QhI,2770 +torch/distributions/half_cauchy.py,sha256=c0jbnYOjsJ-9_YTbdDTJggNHdK5rgBdfNeqYHnY8lpc,2395 +torch/distributions/half_normal.py,sha256=zcM-KBHDDY5u_yiW39XgM8df7EFdG5VxNa3tA0kKlXY,2160 +torch/distributions/independent.py,sha256=ZWlhm_BpDWBz_SdTrXsknv1v-Xg490sAh5MgbdSoVvk,4605 +torch/distributions/inverse_gamma.py,sha256=QOf9aB9cY3sR6SP5D1JmVLPnhUC-k2mEHefgqsWiQi4,2478 +torch/distributions/kl.py,sha256=nh6y5dvEf2McUN6j107RyqmhDPJBvVMnBCZkQapS9VQ,31698 +torch/distributions/kumaraswamy.py,sha256=221peO4jn9S6AfM5tNFKEOg43Los-EKOKRbqO8rHeaM,3495 +torch/distributions/laplace.py,sha256=tXXtEHXtgTNzEPRiha29fL3SOqa1it4cYxG9YSDVlwE,3232 +torch/distributions/lkj_cholesky.py,sha256=x-OAlxCH0iag94K1qotyTLvfONarWpll6Py3lyRyXfw,6373 +torch/distributions/log_normal.py,sha256=6Gb7K2zIP9-Z3iGNA8LS_q7PcnIO11-5XOfQvEt4_jw,1929 +torch/distributions/logistic_normal.py,sha256=p8aUz8hlC1T9FpL6tqlRDcGU2-LxsCXqd7gXUBceuyM,1949 +torch/distributions/lowrank_multivariate_normal.py,sha256=BtBD2I-z8K6I5GQg9QgHNfiZV0enKi5IMSixT-4JRSU,9780 +torch/distributions/mixture_same_family.py,sha256=vuaNEJAwV3HaF-jrBjeyvYbobxA7m7dOGqXpJtT34fk,8467 +torch/distributions/multinomial.py,sha256=LNU6XFnfu36q4JK8BPA33IlNmjC6slCAZA2eJVNGeII,5400 +torch/distributions/multivariate_normal.py,sha256=APNwJFe6fxxS5UBSRyzlPxa0miyFNDA-21XaNq47ErE,10746 +torch/distributions/negative_binomial.py,sha256=xLyVUsJSWbbgH5LtGuX7AUiXBD1mPicd31Wd99Ki7xQ,4671 +torch/distributions/normal.py,sha256=V3SVCrr8kghmeXNPWT9q7s452wOj1QZI3VuknkI4zYw,3549 +torch/distributions/one_hot_categorical.py,sha256=PUZUAHkvuwilu35uBzZCrso3OrJXpFmMFrArfLwBBXY,4679 +torch/distributions/pareto.py,sha256=k_eHHbQ3_APAdJ0eAkiLiS7Ni7eIImT5xATuDZNny3w,2175 +torch/distributions/poisson.py,sha256=7VDTS-WUP1pG5aiS3TMOVQocSJpHM4sdLewh-_L6w70,2217 +torch/distributions/relaxed_bernoulli.py,sha256=XLg5GzNvAIFV41yPL9zp1cRZS_YuBCGR6UL8u1VKrLo,5368 +torch/distributions/relaxed_categorical.py,sha256=TT5Ok0DA9MDhRr7b40kxwxy7lkoj_-qTkYgsrGVCW9Q,5163 +torch/distributions/studentT.py,sha256=2T5XQbtHA7gnjv6o24rBGpqgkkSpmzwS-nPFiQciSXg,3856 +torch/distributions/transformed_distribution.py,sha256=Ex57d7g3h7u3IkDmafzuYwcGTOwWenxxBF_Hv255Df4,8660 +torch/distributions/transforms.py,sha256=tQa9SgIkAqs7YGLsW_s23sorgClpRxTB3UWYgYFNtqc,40934 +torch/distributions/uniform.py,sha256=_gfQLn2kSxL6zZdp-NRSzkC47Hw4yFGsNtcsOLvoV3Y,3240 +torch/distributions/utils.py,sha256=BMJiAkBDOeeRAHcUd2YGYTVWhv2itIkkwbo83L6lDx4,6350 +torch/distributions/von_mises.py,sha256=WllECPJcXQpiBvPhXmzu3nwP0Qc82t1FyjmG3uGi_fI,6061 +torch/distributions/weibull.py,sha256=NCctBNGYUo9EhJ-IFkf05U1YKX8g-AQz-qrxESkX5Tg,3069 +torch/distributions/wishart.py,sha256=kHT5u_7rut7MTlpCRyoTFQiUs0F6sYgIO_OJ9vGOwSc,13621 +torch/export/__init__.py,sha256=T34zlP8zIZJ9RtGbL11G4_IyhUXi-CfzjtYMPMG2gBY,21857 +torch/export/__pycache__/__init__.cpython-310.pyc,, +torch/export/__pycache__/exported_program.cpython-310.pyc,, +torch/export/__pycache__/graph_signature.cpython-310.pyc,, +torch/export/exported_program.py,sha256=4eKEihWoB8btBjeMSX_V9OM48B8QMhiCGz1drHdNPZw,22252 +torch/export/graph_signature.py,sha256=Nb7Lf_Jysnk8aYDO8CjFXbI5Y5LDnAoHaZZqCDnkJ_M,14337 +torch/fft/__init__.py,sha256=X8JNOgYQ0V9PEDWhiqOr7WKJvcb4SXKLkMOb6XWB2i8,55060 +torch/fft/__pycache__/__init__.cpython-310.pyc,, +torch/func/__init__.py,sha256=goh2psFaNr6mEl54-DrNsHFS89xymxCMcAeNR-etJIU,401 +torch/func/__pycache__/__init__.cpython-310.pyc,, +torch/functional.py,sha256=CBvgrlzsscEjzOLvew2S_m_EKI9fJNWfFylB4DpcHC8,85369 +torch/futures/__init__.py,sha256=rNwSU8rY3NFVkHEtzH3v3vaHH4f5kbt4Xr_5rc2W5ow,14392 +torch/futures/__pycache__/__init__.cpython-310.pyc,, +torch/fx/__init__.py,sha256=vKm-N5rNFuUID7okSpz4LxhGgNeOnHyPcAM3q54AvQo,3810 +torch/fx/__init__.pyi,sha256=wzQLHIhlG_Kn0oDU_nauEn0eVkx33QYN8Fch_Ag7K5c,465 +torch/fx/__pycache__/__init__.cpython-310.pyc,, +torch/fx/__pycache__/_compatibility.cpython-310.pyc,, +torch/fx/__pycache__/_pytree.cpython-310.pyc,, +torch/fx/__pycache__/_symbolic_trace.cpython-310.pyc,, +torch/fx/__pycache__/annotate.cpython-310.pyc,, +torch/fx/__pycache__/config.cpython-310.pyc,, +torch/fx/__pycache__/graph.cpython-310.pyc,, +torch/fx/__pycache__/graph_module.cpython-310.pyc,, +torch/fx/__pycache__/immutable_collections.cpython-310.pyc,, +torch/fx/__pycache__/interpreter.cpython-310.pyc,, +torch/fx/__pycache__/node.cpython-310.pyc,, +torch/fx/__pycache__/operator_schemas.cpython-310.pyc,, +torch/fx/__pycache__/proxy.cpython-310.pyc,, +torch/fx/__pycache__/subgraph_rewriter.cpython-310.pyc,, +torch/fx/__pycache__/tensor_type.cpython-310.pyc,, +torch/fx/__pycache__/traceback.cpython-310.pyc,, +torch/fx/_compatibility.py,sha256=_wIYk-XWWi_X0bgTg99dCryxvurhYx8EsJeXK3bmLos,1006 +torch/fx/_pytree.py,sha256=eJcXyyLuPIBeVWH1N-EYxbX6UY5k6wtUcHvxDXBB9vE,3220 +torch/fx/_symbolic_trace.py,sha256=PiLdHa79fTFyNPRmKgYSL3yVXj7WmjCGQfBZGMTQul4,44896 +torch/fx/annotate.py,sha256=KftuDh5eOI3-n9npsVwvaL5GAJg9cVH5OAMW1mXIIns,929 +torch/fx/config.py,sha256=Vq4ADVOR87qBcbL9BMOX7DObs6TJQGEIiT3LivH4mkg,328 +torch/fx/experimental/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/fx/experimental/__pycache__/__init__.cpython-310.pyc,, +torch/fx/experimental/__pycache__/_config.cpython-310.pyc,, +torch/fx/experimental/__pycache__/_sym_dispatch_mode.cpython-310.pyc,, +torch/fx/experimental/__pycache__/accelerator_partitioner.cpython-310.pyc,, +torch/fx/experimental/__pycache__/const_fold.cpython-310.pyc,, +torch/fx/experimental/__pycache__/debug.cpython-310.pyc,, +torch/fx/experimental/__pycache__/graph_gradual_typechecker.cpython-310.pyc,, +torch/fx/experimental/__pycache__/merge_matmul.cpython-310.pyc,, +torch/fx/experimental/__pycache__/meta_tracer.cpython-310.pyc,, +torch/fx/experimental/__pycache__/normalize.cpython-310.pyc,, +torch/fx/experimental/__pycache__/optimization.cpython-310.pyc,, +torch/fx/experimental/__pycache__/partitioner_utils.cpython-310.pyc,, +torch/fx/experimental/__pycache__/proxy_tensor.cpython-310.pyc,, +torch/fx/experimental/__pycache__/recording.cpython-310.pyc,, +torch/fx/experimental/__pycache__/refinement_types.cpython-310.pyc,, +torch/fx/experimental/__pycache__/rewriter.cpython-310.pyc,, +torch/fx/experimental/__pycache__/schema_type_annotation.cpython-310.pyc,, +torch/fx/experimental/__pycache__/sym_node.cpython-310.pyc,, +torch/fx/experimental/__pycache__/symbolic_shapes.cpython-310.pyc,, +torch/fx/experimental/__pycache__/unify_refinements.cpython-310.pyc,, +torch/fx/experimental/__pycache__/validator.cpython-310.pyc,, +torch/fx/experimental/_config.py,sha256=-4wduYabsQe7DGd5BPKN_SId9dN0vu4lNEYkQmzieak,1679 +torch/fx/experimental/_sym_dispatch_mode.py,sha256=vcDnmuEXYG-sCjjZlcEv3pHAKhGztTabYBbUJ11k6Mo,1905 +torch/fx/experimental/accelerator_partitioner.py,sha256=b74v9TzKOsTnAmEUTsOe2BiUchTfBPLeL4OKDgVBlzE,47902 +torch/fx/experimental/const_fold.py,sha256=3eAr6VcQMhNVpFwK5R-JsTSL8HngJEN7gSG_994Mu1s,11885 +torch/fx/experimental/debug.py,sha256=gVAFQp2OO2FGPYThJBM3y1LieFK6C72rmNrf2CJEaNY,805 +torch/fx/experimental/graph_gradual_typechecker.py,sha256=YygR0v-CEJNeUfGKZKAmyWeyGM2XJbYGpGe6dzmYGJA,32328 +torch/fx/experimental/merge_matmul.py,sha256=f8MDNHfMzsBMdg1M_hfiO3rfrj5YXeZiKHyLST86iTE,5981 +torch/fx/experimental/meta_tracer.py,sha256=Rf4eYrHAknEynDI8aw_TwqyPEgiXZvA8SY0QVylrigI,10025 +torch/fx/experimental/migrate_gradual_types/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/fx/experimental/migrate_gradual_types/__pycache__/__init__.cpython-310.pyc,, +torch/fx/experimental/migrate_gradual_types/__pycache__/constraint.cpython-310.pyc,, +torch/fx/experimental/migrate_gradual_types/__pycache__/constraint_generator.cpython-310.pyc,, +torch/fx/experimental/migrate_gradual_types/__pycache__/constraint_transformation.cpython-310.pyc,, +torch/fx/experimental/migrate_gradual_types/__pycache__/operation.cpython-310.pyc,, +torch/fx/experimental/migrate_gradual_types/__pycache__/transform_to_z3.cpython-310.pyc,, +torch/fx/experimental/migrate_gradual_types/__pycache__/util.cpython-310.pyc,, +torch/fx/experimental/migrate_gradual_types/__pycache__/z3_types.cpython-310.pyc,, +torch/fx/experimental/migrate_gradual_types/constraint.py,sha256=ZwrkEz-XDX3sXtGL509JgM3wVdeZEK2ekEj4cfZor14,16367 +torch/fx/experimental/migrate_gradual_types/constraint_generator.py,sha256=_JZtXXc9SNI003VHTtdTOq6VarM3iLZfHGcqEjAONtU,47599 +torch/fx/experimental/migrate_gradual_types/constraint_transformation.py,sha256=dKUKx9cstK-BJZoUtaP9-vpOPR-TH2oFJj4BkBAHBJs,39364 +torch/fx/experimental/migrate_gradual_types/operation.py,sha256=-m6ss5-iKLJVS9D1oDBNrYKKWPubwdAV3211SIPQpm4,206 +torch/fx/experimental/migrate_gradual_types/transform_to_z3.py,sha256=Vzy_dc5OjBaUhCTmZmH7kTjuvDNOfGzYmwWMWFICNJ8,14703 +torch/fx/experimental/migrate_gradual_types/util.py,sha256=zzEWfui0hKdW9Pvkg5AdcXg4FZHierCprmdfw9Xwjng,1321 +torch/fx/experimental/migrate_gradual_types/z3_types.py,sha256=w27YOUiMJ0idGox7f76kMPtOp7mKYqb_TQuOFlb5kX4,806 +torch/fx/experimental/normalize.py,sha256=UW8UtGsGYLCvsQ7xTRArpWeYGA2fIGXoRo3jY6hsALc,5478 +torch/fx/experimental/optimization.py,sha256=k-HSSX8TYFnvZlR-ULHGFijhFl7H7jHHA5aMn8Zh1u4,16549 +torch/fx/experimental/partitioner_utils.py,sha256=QSN46WXIuwJUOL7BTSsgkt0-3muHIIT8bxD0Bogj97w,12370 +torch/fx/experimental/proxy_tensor.py,sha256=AgYescsIphu9PzZwfnVx2QqOIiUPKoeZlJkWvnvSbn4,38238 +torch/fx/experimental/recording.py,sha256=v9ayzh1Rn8N8WFKDmMI_zpFAy4rwiiNLrdOJT6bE08A,17331 +torch/fx/experimental/refinement_types.py,sha256=bmEVM6UqSSGB2MX7yEsvau1ed35nkSDvyHF7WDmJyqo,405 +torch/fx/experimental/rewriter.py,sha256=z1U8dOxYqzocfYI1ubAL7rja5X14nZo1ZuyJEcz_zRk,4943 +torch/fx/experimental/schema_type_annotation.py,sha256=uQwy2sqrALncACflJ0eL7SZAQMo00edJfAx0wWIsdEU,5000 +torch/fx/experimental/sym_node.py,sha256=EC-iNHfYDqv7ghkerQNs1fzdi6r5Lz_nkhU7Inmtyys,35413 +torch/fx/experimental/symbolic_shapes.py,sha256=r0FFv3aoL--EzbyL0yb9KXWskH34nQ5VFLSNeH38sJk,167397 +torch/fx/experimental/unification/__init__.py,sha256=JSX_I7TpG_gVkuwRSoZquk9ND-shjCgrTEQytg9krq0,196 +torch/fx/experimental/unification/__pycache__/__init__.cpython-310.pyc,, +torch/fx/experimental/unification/__pycache__/core.cpython-310.pyc,, +torch/fx/experimental/unification/__pycache__/dispatch.cpython-310.pyc,, +torch/fx/experimental/unification/__pycache__/match.cpython-310.pyc,, +torch/fx/experimental/unification/__pycache__/more.cpython-310.pyc,, +torch/fx/experimental/unification/__pycache__/unification_tools.cpython-310.pyc,, +torch/fx/experimental/unification/__pycache__/utils.cpython-310.pyc,, +torch/fx/experimental/unification/__pycache__/variable.cpython-310.pyc,, +torch/fx/experimental/unification/core.py,sha256=UM1vX6aAKfNxRpJtMl-J-e7F3FmYXdnlYYTeBeZWCJU,2707 +torch/fx/experimental/unification/dispatch.py,sha256=Lkd0aJd7o8XM6GcnBmhK7O1HUlbQ_xKKdiZfj0Wo24U,191 +torch/fx/experimental/unification/match.py,sha256=dgqHYOv42Y2LTD1WYQw3R8-Y-2Ey0IR4dp8A5LLKcq4,3365 +torch/fx/experimental/unification/more.py,sha256=aTrnPt_6EnrQVPuG28d2TVbeNSLGQqdyMnNFCfc7054,2917 +torch/fx/experimental/unification/multipledispatch/__init__.py,sha256=zm7LfTwHQ3IoYiEBKKDFz8BH_m_8AfQ3zwjTRoH15ho,145 +torch/fx/experimental/unification/multipledispatch/__pycache__/__init__.cpython-310.pyc,, +torch/fx/experimental/unification/multipledispatch/__pycache__/conflict.cpython-310.pyc,, +torch/fx/experimental/unification/multipledispatch/__pycache__/core.cpython-310.pyc,, +torch/fx/experimental/unification/multipledispatch/__pycache__/dispatcher.cpython-310.pyc,, +torch/fx/experimental/unification/multipledispatch/__pycache__/utils.cpython-310.pyc,, +torch/fx/experimental/unification/multipledispatch/__pycache__/variadic.cpython-310.pyc,, +torch/fx/experimental/unification/multipledispatch/conflict.py,sha256=iSpmKMuEJ0eT8mm3rfKHoRbT9TpD3tClBosGkJ797aY,4041 +torch/fx/experimental/unification/multipledispatch/core.py,sha256=7xYv49EiUtw0i8KCCVCewORJR8VpScvYUtP9SecEA_8,2640 +torch/fx/experimental/unification/multipledispatch/dispatcher.py,sha256=9qMqz6G0dTDT6O-zbp5rN7Y9LKPp7Xe6vIGxg13QMUA,13797 +torch/fx/experimental/unification/multipledispatch/utils.py,sha256=aZ3cFdNKiaB06_a4Lvs8IR9i2d4k3m5WaJZ4IjvIJ_c,3776 +torch/fx/experimental/unification/multipledispatch/variadic.py,sha256=KuQ-84U3LyPdiscFruC0oiNiOfsYiOrw7UIHExGUt3c,2942 +torch/fx/experimental/unification/unification_tools.py,sha256=YlxVSYpZXZTT-x1r_wl4c5tJtUwZy_4EDJp5cwseELg,10544 +torch/fx/experimental/unification/utils.py,sha256=ETMPmZ7gsOySGNWQW5MlwJ-bDtDGidhUwUeURNw3Hyo,2902 +torch/fx/experimental/unification/variable.py,sha256=CdDrhP1CbSn_Ug3a9usPAVGV8DVJkegIzblEXKw48kY,2036 +torch/fx/experimental/unify_refinements.py,sha256=Yg3VdTWTpZCsygUvRlS51boUqULgxB019Mt8g0o1d1o,3121 +torch/fx/experimental/validator.py,sha256=NdeA2NNrdW7HtIvs3lazmuhxaeFQDHtdZPiYs6QhrcU,29389 +torch/fx/graph.py,sha256=HTJXpGtFaiVv5fg9zoHNZaP86lQB9Blz8YouAOMJ34M,67067 +torch/fx/graph_module.py,sha256=uGHINhIpc6Li7OqttU44qUHTp1oI0vN6RLSnrS-FuPA,34484 +torch/fx/immutable_collections.py,sha256=HmgBUNqA6fYNC2z6AZ5nhKXPPazjhe-KMfu_2WvXgLg,2313 +torch/fx/interpreter.py,sha256=y1PoyTDBv2WJSkKl51N-wvY8DPKnk0QqhT86fykMApc,21399 +torch/fx/node.py,sha256=JfFnt6yC5_7_DWkFDF98eILqjlbZKe8K9EdJLhj3CUA,30048 +torch/fx/operator_schemas.py,sha256=aHvwAbfL9dHlGDtjn6HCMTGx-G0X9a_ewT-UUWySRHw,20313 +torch/fx/passes/__init__.py,sha256=IVYzwVj4hA5CXT-6Z6sxJfEAFM0LKXTuVqqjijqReT4,301 +torch/fx/passes/__pycache__/__init__.cpython-310.pyc,, +torch/fx/passes/__pycache__/annotate_getitem_nodes.cpython-310.pyc,, +torch/fx/passes/__pycache__/fake_tensor_prop.cpython-310.pyc,, +torch/fx/passes/__pycache__/graph_drawer.cpython-310.pyc,, +torch/fx/passes/__pycache__/graph_manipulation.cpython-310.pyc,, +torch/fx/passes/__pycache__/net_min_base.cpython-310.pyc,, +torch/fx/passes/__pycache__/operator_support.cpython-310.pyc,, +torch/fx/passes/__pycache__/param_fetch.cpython-310.pyc,, +torch/fx/passes/__pycache__/pass_manager.cpython-310.pyc,, +torch/fx/passes/__pycache__/reinplace.cpython-310.pyc,, +torch/fx/passes/__pycache__/shape_prop.cpython-310.pyc,, +torch/fx/passes/__pycache__/split_module.cpython-310.pyc,, +torch/fx/passes/__pycache__/split_utils.cpython-310.pyc,, +torch/fx/passes/__pycache__/splitter_base.cpython-310.pyc,, +torch/fx/passes/__pycache__/tools_common.cpython-310.pyc,, +torch/fx/passes/annotate_getitem_nodes.py,sha256=E0brWyfqEc0ZcKl5-Y2Ab-1SBhIOrc_d_QJbuVf4KFs,1953 +torch/fx/passes/backends/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/fx/passes/backends/__pycache__/__init__.cpython-310.pyc,, +torch/fx/passes/backends/__pycache__/cudagraphs.cpython-310.pyc,, +torch/fx/passes/backends/cudagraphs.py,sha256=0tTRj_qd9SYR2ogNghk4iATS1W27vJarV8Rbjm4e8lo,2040 +torch/fx/passes/dialect/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/fx/passes/dialect/__pycache__/__init__.cpython-310.pyc,, +torch/fx/passes/dialect/common/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/fx/passes/dialect/common/__pycache__/__init__.cpython-310.pyc,, +torch/fx/passes/dialect/common/__pycache__/cse_pass.cpython-310.pyc,, +torch/fx/passes/dialect/common/cse_pass.py,sha256=ZV_BG8JVs2vaNKvkiC3QAt9HUf2jgxIP5AtzziavHKo,4911 +torch/fx/passes/fake_tensor_prop.py,sha256=UaCTOwmPzckR7Opzk_1tnzoyoJodlhdHoxjfcuxxMk8,2299 +torch/fx/passes/graph_drawer.py,sha256=gkP5yPaGpikhA93o4Fhmb6N6RPxvWSkp215z7WeGx1E,16477 +torch/fx/passes/graph_manipulation.py,sha256=7NL6WodpkK57LJ6gSmzdCWCIAP53e1U0xqL7tDGvftU,3981 +torch/fx/passes/infra/__init__.py,sha256=edegnIAKakNdSXu64OLBr7POgNQUF2NDlOhK6y5Aftw,28 +torch/fx/passes/infra/__pycache__/__init__.cpython-310.pyc,, +torch/fx/passes/infra/__pycache__/partitioner.cpython-310.pyc,, +torch/fx/passes/infra/__pycache__/pass_base.cpython-310.pyc,, +torch/fx/passes/infra/__pycache__/pass_manager.cpython-310.pyc,, +torch/fx/passes/infra/partitioner.py,sha256=cQkaLPRpeaYbstAT8rLBKNxggz9nNCoTO4Zfv7P3sU0,12689 +torch/fx/passes/infra/pass_base.py,sha256=pA_-w5a9HTnMvCdF4v2KqUJTR0Y-huLHen4Ous4slc0,2490 +torch/fx/passes/infra/pass_manager.py,sha256=T3Qfm4ijNiixjbV-boxv50jN90kScqUM6-DczZ5GYmo,10311 +torch/fx/passes/net_min_base.py,sha256=3-bPllN3F2TfSC3sltkFDK-cAoPjWEjajS0qHUW1BJc,24213 +torch/fx/passes/operator_support.py,sha256=pUGLGDRFZ9nKynya_TGjCMwqJ-vuV6S_OjO_FYffCkc,7829 +torch/fx/passes/param_fetch.py,sha256=1W-DYjVRHQ99zk0djbwv66epYBJl7gBoTWbO1ejkrzg,3527 +torch/fx/passes/pass_manager.py,sha256=o7M9MCgQw_K63IkM8_xyAe4RulyEbgQKDL2kYIGgqws,6894 +torch/fx/passes/reinplace.py,sha256=KUf5sWOLEzLPf1_5qq7eGsKzgBCy6wQntaFiORvIssw,33274 +torch/fx/passes/shape_prop.py,sha256=ruldir9bGw7W_foBQX9L5N8LLwRwqvb0IuZP34FNdvg,7103 +torch/fx/passes/split_module.py,sha256=1hheSljrmUznu6L9wqd8kLAlhOYCnVZC7QtJyr3NMKg,21010 +torch/fx/passes/split_utils.py,sha256=rGvjvfp5h2OV1uyUO6Ox-jP6kXjInCdtzr0cGoKQ3Co,11068 +torch/fx/passes/splitter_base.py,sha256=B2X2d4HNN3qSXxNwyHGxLp8aetJQE4IY4lOmxIeKlKI,32264 +torch/fx/passes/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/fx/passes/tests/__pycache__/__init__.cpython-310.pyc,, +torch/fx/passes/tests/__pycache__/test_pass_manager.cpython-310.pyc,, +torch/fx/passes/tests/test_pass_manager.py,sha256=eUjb15IskaC7b-_Lm_DAA4zs_KL9WAcjPaPSTZosUpA,1899 +torch/fx/passes/tools_common.py,sha256=gORSxkQzi0L6uXSxIL-8i39d62SgPaNJLmB_-0_OnuQ,9568 +torch/fx/passes/utils/__init__.py,sha256=e6gxht-nNUZK2J_E0AkiEpa6UdKlXJA5cwwiu5XbXVc,74 +torch/fx/passes/utils/__pycache__/__init__.cpython-310.pyc,, +torch/fx/passes/utils/__pycache__/common.cpython-310.pyc,, +torch/fx/passes/utils/__pycache__/fuser_utils.cpython-310.pyc,, +torch/fx/passes/utils/__pycache__/matcher_utils.cpython-310.pyc,, +torch/fx/passes/utils/__pycache__/matcher_with_name_node_map_utils.cpython-310.pyc,, +torch/fx/passes/utils/__pycache__/source_matcher_utils.cpython-310.pyc,, +torch/fx/passes/utils/common.py,sha256=lYmaNxwJkKt4l2lwRlgZD8oJuDfgoztOglTHY_Dmcsg,3112 +torch/fx/passes/utils/fuser_utils.py,sha256=pYgzVUeZvDnGEE4KChgMbXS_SGMl3jfXsVUjURjuDkM,8649 +torch/fx/passes/utils/matcher_utils.py,sha256=tGL1QKHLI7pLlw1atxACPEDfduwjvyYLGCcYbcLTs24,16599 +torch/fx/passes/utils/matcher_with_name_node_map_utils.py,sha256=J9Lu-ZdtvUypvldLBcAXZvQdmKbXg0A4uNsEM1wYVuE,4164 +torch/fx/passes/utils/source_matcher_utils.py,sha256=qBHRJ7eoqXBrnuy2wuhSlkqDAkpFS6YkZgM_HPocvvM,4792 +torch/fx/proxy.py,sha256=1Nr-Haqxggp7mgzHcKCjt9K63VAzA82v2MXzupxeNpw,22626 +torch/fx/subgraph_rewriter.py,sha256=ODkMK3VYGXGYJK0qLiCA88-cc7dU4usrI6Jn178rhCw,13638 +torch/fx/tensor_type.py,sha256=XN0UDam2dPe66l7r7atjZf2JqPCXWCmyLUXwFa8xhRU,2932 +torch/fx/traceback.py,sha256=V4pokWfDpDpSfHIgQ6AcPjsfbqc2Zk4rCLfh3JjOZL0,3269 +torch/hub.py,sha256=4h49JPPVrvrygB-IbmnwIGNJZyRIKfFKM99zVPrl3nA,32558 +torch/include/ATen/ATen.h,sha256=mkjW3p2EH-mgdyzM_Nn8t3Mu9IneuDNjDyNHTlRYSrg,1107 +torch/include/ATen/AccumulateType.h,sha256=xpW2LWNvjQXQz6KZjOBV6hTEOCxSPK8qWceJnL3RMtM,5236 +torch/include/ATen/ArrayRef.h,sha256=Oj53usfNJkz8L3fSOjmE20rpC0NUjhOVz4bmu68R28w,44 +torch/include/ATen/Backend.h,sha256=uKLWU9cBX4ldaPyhSACkAAe1BDHaJFKAS8yVHexzEuo,43 +torch/include/ATen/Backtrace.h,sha256=iQwNYKFPK-sNKn5Ngwy2vzkESKV84wJSLIQD1O7GGxg,46 +torch/include/ATen/CPUApplyUtils.h,sha256=z8FW-FUg1tua8T9y4Nkgu3VrcA20nT0I4eo4cYA3j7o,10222 +torch/include/ATen/CPUFixedAllocator.h,sha256=ePZtym2ZPfh0EldwpzgFn23DohoHWM9Yx4Q5UJkUUnc,845 +torch/include/ATen/CPUFunctions.h,sha256=4cBJuS_SSe9gkWBaqJv2I4TNOtatWw0_kUy8nYYXAH8,1949 +torch/include/ATen/CPUFunctions_inl.h,sha256=8RoyUoS0WlJH8XmRKNcR-Ih5s4o8RsVDuISa-Uviw68,28385 +torch/include/ATen/CPUGeneratorImpl.h,sha256=CUs44l8g_6kYi-yLdSuPIfE6bXFrIKKsBh-KUx36Ykk,1538 +torch/include/ATen/CUDAFunctions.h,sha256=WjTAkU2Xu4Ngb6b2rGorhNx5ZqgohX1cEC881uL_Nnk,1950 +torch/include/ATen/CUDAFunctions_inl.h,sha256=IpvcIT4Lrvr_vCTJv1iZPKp7PXh7JzFC_B0r37ecyiE,31346 +torch/include/ATen/CachedTensorUtils.h,sha256=A7gaS6-sexogUv0aYx8H9EYbRZxvaNXyNtgy4ovaZfM,1007 +torch/include/ATen/CollapseDims.h,sha256=YcFbH1j-lkxTcwHr5trswl3WJEZTp8VcW6sfsm11_oA,2560 +torch/include/ATen/CompositeExplicitAutogradFunctions.h,sha256=BJpZzuYLgLK--GQfTXH-YcFtW2869S79UUuxSib_sTE,1971 +torch/include/ATen/CompositeExplicitAutogradFunctions_inl.h,sha256=La4z0tIqsZKKgUBDid6QquOvFQSAgKVPQRmbw1mhOjg,38550 +torch/include/ATen/CompositeExplicitAutogradNonFunctionalFunctions.h,sha256=K9KLMEQh9VPe0LEvW82v3FdxONqEUpv9L_I4EgTCzmA,1984 +torch/include/ATen/CompositeExplicitAutogradNonFunctionalFunctions_inl.h,sha256=7d8IhynUzZJi9_LokZiJzHwcBXu2gV-XVkkC_09h56c,26050 +torch/include/ATen/CompositeImplicitAutogradFunctions.h,sha256=3REKnKqUvdXDA9PDGmmx3B2Lu3ta__eBQX55ntQI5IM,1971 +torch/include/ATen/CompositeImplicitAutogradFunctions_inl.h,sha256=qGdgFvxuVOFlhj4PzOm_ENzIl6dShoJziQTteNO0rLo,34865 +torch/include/ATen/CompositeImplicitAutogradNestedTensorFunctions.h,sha256=R2Nb5wbr3bbfOSiqLZtJa2JazDXnbg2XX-xUn0aZQkU,1983 +torch/include/ATen/CompositeImplicitAutogradNestedTensorFunctions_inl.h,sha256=zPpmzVcthe0efVJmcYnz1EnWbn04TkoWlfsQ2-qlH-s,1126 +torch/include/ATen/Config.h,sha256=L7OLQRf6_GBdGnC8GX-rUuIETYpI6Q9CzkcJyaSI8zA,770 +torch/include/ATen/Context.h,sha256=Iuuh627NtdAMDzyV4DFCm8kTvGg-m_RBIKKS9upNK2E,17686 +torch/include/ATen/DLConvertor.h,sha256=EoA7ExP5J_-CKGF87ZGcxNZ2YywwurLf1Vln7uYgyi0,669 +torch/include/ATen/Device.h,sha256=woU2HH6ul-aOLsILb-xFTxGbtA7mGnaMaJzzB-CrlBI,42 +torch/include/ATen/DeviceGuard.h,sha256=Gti6aPs2ibw2l3Ek4reRaGPRmQuLQIL9cxK7lJ_4TVo,1185 +torch/include/ATen/DimVector.h,sha256=hDtEu7TLm-rmIlopY3DudvGcP7BopSyWYAoce6SRrKM,46 +torch/include/ATen/Dimname.h,sha256=ODvWq78JatYnrvxjZb8taxy-nOBOC6VE0sZnSpxiwFs,31 +torch/include/ATen/Dispatch.h,sha256=Fyn3eM3PrYamv_qjasg-Xrav0e0Ct23Zj6673-MytRk,39757 +torch/include/ATen/DynamicLibrary.h,sha256=4MJsQ_OZ5MndH29Hi_FTPdxEEuCvMJM8LJdcHwqFMDE,572 +torch/include/ATen/EmptyTensor.h,sha256=Xm0VqHjMQXEWvmrq53FXRfLwjk9LJvRtqnAj7lpsh6M,4537 +torch/include/ATen/ExpandBase.h,sha256=nUXXodL4QrMGHb0xV9QpDjEJsG67gD6GHosIfNnrfxA,914 +torch/include/ATen/ExpandUtils.h,sha256=BvqQcM9nat6EU1vC-9stgPAmpkoMgsKAe77ieVrIdIQ,16263 +torch/include/ATen/Formatting.h,sha256=u9t8xVe-WAEXzWvHqFJ93K566ukel9wsbLhSEUeEqyc,34 +torch/include/ATen/FuncTorchTLS.h,sha256=1Rh_Sl0r0UOMpwzcl6_P1GEJXBgAtIGra6xE5t_B69o,1816 +torch/include/ATen/FunctionalStorageImpl.h,sha256=DtP4sc8ZlzbcbfSyV49gW481A8GlFV89BscNbLz7kUY,4426 +torch/include/ATen/FunctionalTensorWrapper.h,sha256=G2FWCOeNNirs1p8MiKM2XWQ60Fm1-KdtXa-AmlkYc4k,15788 +torch/include/ATen/Functions.h,sha256=o40NuWrGLn_UiPz3M5W96SJMKsoH5V8B3MOdQLhrU34,52236 +torch/include/ATen/Generator.h,sha256=KBeu-DIZBnbAWTvlDIPNIA7PMY3wFODHbAR0l-kToLc,46 +torch/include/ATen/InferSize.h,sha256=Llo6fygVimPrD2AXFkxTEEy4WhjV_5nnqZn8eMVCVh8,2613 +torch/include/ATen/InitialTensorOptions.h,sha256=Hwbswfmyx2diKA1DCTPukc246Fnm7kn_MOVXQmVrVDw,439 +torch/include/ATen/Layout.h,sha256=l9TpZf-gLtmQbbV7_dn0UFiOuV88PVS7V047YMCtM-A,42 +torch/include/ATen/LegacyBatchedFallback.h,sha256=QNBsZOnkz1buoh0I2HhKGyf3uxGh8NGcHq-AtADej7U,974 +torch/include/ATen/LegacyBatchedTensorImpl.h,sha256=pRPM2Jxz44OwP0nBF7Nc9JGEMQKPRcLxAFdRlkduLZI,5578 +torch/include/ATen/LegacyVmapMode.h,sha256=w8ZTj-VP5xE5NMHEAGXqZE64gMm-i141FiOdWdNQU7Q,927 +torch/include/ATen/LegacyVmapTransforms.h,sha256=ETjng3kC2mCuWnL9HSuTvg_QyrXQpqSp_oGCaMRNRYM,7803 +torch/include/ATen/LinalgBackend.h,sha256=8FGeL3F7EUk5i_VVs5SHukfJhAQuXi7WtN5BNXXhDlw,719 +torch/include/ATen/MapAllocator.h,sha256=alvnhC5MTXYM-2DMfblHB_lJciYdeZ9AaNftH0jVuDs,3291 +torch/include/ATen/MatrixRef.h,sha256=zv8bal0PW6KQZyEuG7Udy9ri3kgvwruMG7AOTYl71-k,2929 +torch/include/ATen/MemoryOverlap.h,sha256=VMIgtWjB4dUQORQL0AwDnVO7KBVmGYqQTaGhESKS5FM,1287 +torch/include/ATen/MetaFunctions.h,sha256=-j9AVqBE9r11XDj4Jp9l_1ywN8dTWXGDhRnhe_VGcYI,1950 +torch/include/ATen/MetaFunctions_inl.h,sha256=_nBGOOwjiUNtaC-SnsuuWK5imUbhDlhm5iH1jPg1CqI,15807 +torch/include/ATen/MethodOperators.h,sha256=wxSBFcrNfkUVAGBm416xkDiWXFT6DeQj39btMnHNrlo,15367 +torch/include/ATen/NamedTensor.h,sha256=DMs7TFFl5X2V_3sRIg9-qaiiC94x9s0n0SEdYf2SaHE,35 +torch/include/ATen/NamedTensorUtils.h,sha256=rgai9ySH21mI5eq-TJYNasX95UeHP0wzi9Y-kyEOBQs,6816 +torch/include/ATen/NativeFunctions.h,sha256=Q1rI_CHMAHqTPo7BKFn7ey_WtzuW8Cmt1EAVs3gKbkM,57543 +torch/include/ATen/NativeMetaFunctions.h,sha256=tA6eMXca52dgF2JDWVDi-sRlksizs5weV0oQDbF9rHE,54159 +torch/include/ATen/NestedTensorImpl.h,sha256=KvNTmaagr03axpgh5Oy2RoBQArgu2m_zn33N0JDFd18,10017 +torch/include/ATen/NumericUtils.h,sha256=AhwfsHMA4zig6ARp17uERhIf63m41StX-6MfxTdGPP0,4771 +torch/include/ATen/OpMathType.h,sha256=K7VBQFHIOWsIvHGUfZsUFQKjSmwVS_j7XAQVUXnuSO4,1272 +torch/include/ATen/OpaqueTensorImpl.h,sha256=ooDNBbeC3rNdJZdRHiV5HcWFee1zA5tJzkXvHqq5N3U,6096 +torch/include/ATen/Operators.h,sha256=82Sp-xkbskCPFb02_aGsIAoeAmQpfzmhQqyJSLh8WWA,55800 +torch/include/ATen/PTThreadPool.h,sha256=X2FolpcFacvui54S5s9CQPBQ5gvbG8VoF5sH1jkGtkI,391 +torch/include/ATen/PadNd.h,sha256=3JsvcDMvpdMZYbxJchOajFJ9dSZkJPMRqoUteVexHGo,593 +torch/include/ATen/Parallel-inl.h,sha256=hk2AwxV8UgCSIZfKZ2pksBCTpEzBfAfNnCrTVmQcTfA,1967 +torch/include/ATen/Parallel.h,sha256=3CR1vYwRePktHasY4tiHkbV8mVk45hzF4Gv0Ujga8F8,4829 +torch/include/ATen/ParallelFuture.h,sha256=-VXbafsV86rduj8z2iD-VgPvFTiguQksGZWbjEUIflE,292 +torch/include/ATen/ParallelNative.h,sha256=5mm6FAj_i1f_XUv_uG8mwyE9Vuveg2xzOYu2UoOvXPk,354 +torch/include/ATen/ParallelNativeTBB.h,sha256=8LEgy32v5Me08IjCqbkBAOEFhhLwXrrSjv9Q70gpPDo,1286 +torch/include/ATen/ParallelOpenMP.h,sha256=jNWakI_cgj3bpLYby3RvUCeLDjk-h8mE0V2TleDf9Dc,1310 +torch/include/ATen/PythonTorchFunctionTLS.h,sha256=cYU_y4UtOz_UF1r0zctoFbUkR2Q0M-AJU7yJp12KtP8,1146 +torch/include/ATen/RedispatchFunctions.h,sha256=YIy09Pk2_R4J2ZDFn3nnOyglKRzNH_0uTG9JzzrDMOg,2131931 +torch/include/ATen/RegistrationDeclarations.h,sha256=5Lhg9nnyEb5Wi1i4bnppPY5nKubThpwGaMKBmmcnoU4,822755 +torch/include/ATen/SavedTensorHooks.h,sha256=rbVHA2Fvj4bPFJwLVGERO70hSdRlEo849o5l_anedN8,1772 +torch/include/ATen/Scalar.h,sha256=4uRhX5Y1wZouuAi4M8BriFoqJziRckfzIh1o7E3YS9k,44 +torch/include/ATen/ScalarOps.h,sha256=78Fv8WU8l9Mw-xejkGlHZFy1LqbNvuwtndT7IGZxja4,2338 +torch/include/ATen/ScalarType.h,sha256=YpUjgU8zTuDmlNt8pnUpNYjKVs-sJ-YUs4enjKJr72k,129 +torch/include/ATen/SequenceNumber.h,sha256=kkx0_BUyfdTbwboiGso0GwMNJG_KMxCjjibslHit6M0,333 +torch/include/ATen/SmallVector.h,sha256=b0zRaURtL0paOFhxGgB4flh3HczjPSX6gQ_GQzOOtHs,47 +torch/include/ATen/SparseCsrTensorImpl.h,sha256=dV4CGOrwWS4eDxePCzVDrNHXfZl9noXGPlgBx03OB3E,5944 +torch/include/ATen/SparseCsrTensorUtils.h,sha256=tM-Lh7SiHGsf8Qag0WjQgvO4DXu0NedjeZhUhQHU4nk,16259 +torch/include/ATen/SparseTensorImpl.h,sha256=eWImPXUxl6hSG_Beh9pNABABHzn8TP-_Mti1anFoNk8,14204 +torch/include/ATen/Storage.h,sha256=EgzD3SO1khvg7pZDcTsqoI0FFSlsZobb6FadLbAhJ5c,43 +torch/include/ATen/StorageUtils.h,sha256=2YW2GztTWHfE493VWxPhtJDvHpExCtwFl69ZTwk_OzM,1308 +torch/include/ATen/Tensor.h,sha256=ercOzXbYX_U4x-QpJ9H5rNwZ8kR6vku_MYQlzRInW28,44 +torch/include/ATen/TensorAccessor.h,sha256=0oPU5QjZ5q_5qJ54cCEa18Zas4Z_IMTVAT09j39idII,51 +torch/include/ATen/TensorGeometry.h,sha256=Ch9leC_CFFDBO6nHCApXQg9otc10htS-76YwZfBvJ34,4229 +torch/include/ATen/TensorIndexing.h,sha256=WTOw0dTFoUHqEdKWXN0zilqnxrr7NzUOZFyT2R6WZqw,23564 +torch/include/ATen/TensorIterator.h,sha256=zEdD4RehtZ0A8MKMmRKiC6gv89p6n2-LdeeEOHBPpAI,36712 +torch/include/ATen/TensorIteratorInternal.h,sha256=X7YNep39pqhtmX03_2NEQokMY2Z_mQcbJL337v1ktHo,1937 +torch/include/ATen/TensorMeta.h,sha256=nGgmEZS3d9bjDtv7T7BTf-LgohiSy9TmlWTJySFv378,4864 +torch/include/ATen/TensorNames.h,sha256=BkxF_4jdhSr2zQXul7cy6PmRXwdAe1CBNwIK-6lj8q4,2562 +torch/include/ATen/TensorOperators.h,sha256=-TjHrtcpKqiHuMWgsEuBCZtmlTxMGBkZdIqhXpQitm8,2594 +torch/include/ATen/TensorOptions.h,sha256=0YGOolxkjb6QzEmeZ6xuo0bamoTct5GvrHAtPoMH-fU,49 +torch/include/ATen/TensorSubclassLikeUtils.h,sha256=MRVRZnKc4NIEHkm7dIijUvKCvmhjPECY8_q5V373o4Q,3252 +torch/include/ATen/TensorUtils.h,sha256=bIRQkdEE4H88QaR2fmVfxvkkhDbO8_bdxiNzMEkiZEE,5792 +torch/include/ATen/ThreadLocalPythonObjects.h,sha256=EqG46_18Hph7JIFewnv3wiJlY4j1uowbGNa3JR23xUM,607 +torch/include/ATen/ThreadLocalState.h,sha256=TSR8L8SsDCfRfUH7QxawC-ZG8iFhN_-TvvNNDITM-b8,3753 +torch/include/ATen/TracerMode.h,sha256=QigJ0TulTga8gPinbwvwtZgUwi9xQmOUAwureQzsQeI,5522 +torch/include/ATen/TypeDefault.h,sha256=1KUqlbYBvhQj6kuRqvVwK3GpVoCgYWNIYGvEv35vUPQ,666 +torch/include/ATen/Utils.h,sha256=J8ozoc9oo1ZgCdHnl_Nl6_4pFfWzWl6hWYCAKok7DLI,3569 +torch/include/ATen/Version.h,sha256=sTW04hFh7RGM5RkbXoQKLDcwTP4Ks7GNDyTLr3tQJdY,384 +torch/include/ATen/VmapGeneratedPlumbing.h,sha256=NaQ1XKiqjFgRUv-jTaswHRpP3AvYc8p1z2HLUURD4pQ,1802320 +torch/include/ATen/WrapDimUtils.h,sha256=akUXA3JtwRH6oDuXly83ftoVTfpMJIbeJlOESvbiB00,4778 +torch/include/ATen/WrapDimUtilsMulti.h,sha256=in5mUs8tc_KbXMQSrnIHNA5ZSAr0mG1pYPN1gxsKdVg,1082 +torch/include/ATen/autocast_mode.h,sha256=ifHWioLo2cjW2wYR2XprHPI_N_9Lx2M3rkVNhiF_amQ,24219 +torch/include/ATen/ceil_div.h,sha256=-2T7Tr33CUl6nWbLAVGTs0Cc4ANEkf4u4uzeMTpygNM,502 +torch/include/ATen/code_template.h,sha256=etw62zPbDFf179iSX6MhL7OC47e4-O0rV_1jd1ObKXA,6888 +torch/include/ATen/core/ATenGeneral.h,sha256=dcnASl2yEZMXGYbsBQkH1W-KLBoQTSSoEfujumNJHjM,45 +torch/include/ATen/core/ATenOpList.h,sha256=aTsrO4WWb4s2HIBiOyha28F9RXajxvzINAGv3eQ5AEs,246 +torch/include/ATen/core/ATen_fwd.h,sha256=dj37GXi3sI-7Hoz4M4JLEHO2wh-cIENzENiDcYIZqn8,1024 +torch/include/ATen/core/ATen_pch.h,sha256=VALYaus83y8jFTWe33Ef0YldWbZWw5SSMfvBd6JiLsg,5205 +torch/include/ATen/core/Array.h,sha256=ddR3Ab8CuQh-WoO9_5waKKuP_Q130gkTzf-OU0XJv0k,838 +torch/include/ATen/core/Backtrace.h,sha256=Vi1LiTrJX5BY0ADLxoJkwC7H27H30tTPM89xZ04A5GU,59 +torch/include/ATen/core/CheckMemoryFormat.h,sha256=5bQA7sNFWHB4aJWV1qOGuw2urCnQrEDWpOUUr0ZSvfA,864 +torch/include/ATen/core/DeprecatedTypeProperties.h,sha256=fiCGwf3Ogf4RHw-zm1fLNLe4P6VCahAYS09s9D1RVTQ,3778 +torch/include/ATen/core/DeprecatedTypePropertiesRegistry.h,sha256=mOcUQj1cEg07Na3gbhDv2NTRX_DEPTVt5un1XNs7qlE,795 +torch/include/ATen/core/Dict.h,sha256=jpIwmsES_ZGowrQds9ydu3fIOVcKjee8hhOMOKfY7oo,13250 +torch/include/ATen/core/Dict_inl.h,sha256=u1puirohzunWQUCh1Z1Cs9kfjxX_9_-TCHPSsQ3cMVM,7540 +torch/include/ATen/core/DimVector.h,sha256=yOKoGLTzpQNSO-5Dc1iemVnT6Aa9mnjwtT6JpBhOfXs,279 +torch/include/ATen/core/Dimname.h,sha256=fmTk0qYzFGk1m3kwezkPs3Hjmon9_wnngna5CUmxD2Y,1178 +torch/include/ATen/core/DistributionsHelper.h,sha256=g-Roiqs_-_iboIA4igU5vDeINaW7xOQw-oR8IG3PvmY,12578 +torch/include/ATen/core/Formatting.h,sha256=Lmglbd4dcMvnHyAPeCHJXwujSNFZFMRg4w9CD1kwbrM,700 +torch/include/ATen/core/Generator.h,sha256=aS87CsztDLh7lBUyuyf7gc5foQ5kTvpQP0W6wiHKV2k,6413 +torch/include/ATen/core/GeneratorForPrivateuseone.h,sha256=yL2oxcTdSvNrfMB4UgGAkUBloWwuQ8nVH05TsSQAKmA,1071 +torch/include/ATen/core/IListRef.h,sha256=eDVQt0jRf75ByQkNczaq7ybVv5jIzPPIsbDcP_8WT9c,20974 +torch/include/ATen/core/IListRef_inl.h,sha256=b0eKGeNV--Q9S15UDjblx2IXV5wERlqZ0I4uJO3saVI,6127 +torch/include/ATen/core/LegacyTypeDispatch.h,sha256=OtpiQhk03P4M9Cxv7lihyc7sTNkEvbgyJSCyHzwh1dA,4857 +torch/include/ATen/core/List.h,sha256=OWJe31yh9K3Ihw_SztPL-FJ6hR5s0tIUCj-W3EDiMpc,15999 +torch/include/ATen/core/List_inl.h,sha256=JKfhu5p-R300JseLFG5B1JI9N2LIot7xvlOJntFjGAs,10913 +torch/include/ATen/core/MT19937RNGEngine.h,sha256=UE78lVAVtnNeB_XkGLD08Qaj-mW678NMmy7tf8qNKH8,6510 +torch/include/ATen/core/NamedTensor.h,sha256=GkhG5OtAD95TaPwgkbaj2fbvvw7VyjNdq3xYA7HZiKk,5050 +torch/include/ATen/core/PhiloxRNGEngine.h,sha256=nT1duXK3nsHoOuMt-HEOAGl_1vau4X5HYn9xNj8tY5g,7814 +torch/include/ATen/core/PythonFallbackKernel.h,sha256=iVeGxnFLNfhdDI0kk_zj6tWDkMTykt6pRurafEW9X_k,530 +torch/include/ATen/core/PythonOpRegistrationTrampoline.h,sha256=XCU-zPCjXswi9dtGOaTenkkcWxGos-ipbwZ2lvGIYD4,619 +torch/include/ATen/core/QuantizerBase.h,sha256=XqeyGj9_9k5-O8cnYeJ-3pxGFJKBV_KakN2muEPf6_g,2606 +torch/include/ATen/core/Range.h,sha256=v_kVnAoeiHq0eRTodrFqDV8nudjBOX1mwhdeiDrJRt4,418 +torch/include/ATen/core/Reduction.h,sha256=xGUWvO-GEE0IzsMSoCDZksIh5A0Sf1ZjQBGyBBRvqXc,461 +torch/include/ATen/core/Scalar.h,sha256=6_8TdN11df5vabWQCR30zjSFTLQbwnsUMTWfzKaM_sM,29 +torch/include/ATen/core/ScalarType.h,sha256=o6WgbV6_nD4gO6tVJo7Hx_NQfeXC-iB3TFXbfRusbBI,33 +torch/include/ATen/core/Tensor.h,sha256=ic0iD13h7a-4d9Cug9IdTRQ5DCJwqRaktitlQNz4ZAU,2108 +torch/include/ATen/core/TensorAccessor.h,sha256=AZaQHJAxPMX-5382XvtvvsGzBfp_eanh3dxztmVU57w,10556 +torch/include/ATen/core/TensorBase.h,sha256=cjV2cm-hQYs-DAq-EMJynevkHmny0Bt6Zk5YgOiWMlc,37566 +torch/include/ATen/core/TensorBody.h,sha256=L6YaUBIkJNAeffSt_ctw4lzlIL5QvObH_IUxMmJhWro,287561 +torch/include/ATen/core/TorchDispatchUtils.h,sha256=eqHYKOR49kelVxC8FXHvadtkmVayulRLHr0XXzs-fWE,480 +torch/include/ATen/core/TransformationHelper.h,sha256=TmWTfQh6LLMY2Yb-mb10p_hzF_Hyl7ef6IYQ7K-953I,6857 +torch/include/ATen/core/UndefinedTensorImpl.h,sha256=gC73nEbVD9sYFdMxGPovAHH997995eRiDYXO3S1y5Uo,42 +torch/include/ATen/core/UnsafeFromTH.h,sha256=bQyv5mA6MEL7f6hp0LIQYaHBaQVilgt_frmUzNCD28c,708 +torch/include/ATen/core/VariableHooksInterface.h,sha256=s81mzA8dtGFx6Ely8CVI1IZG9HCFzZsTheWT_11TI18,3505 +torch/include/ATen/core/Variadic.h,sha256=O3ruXr8uO-sWugvth-UMczE9Bzd-nZICMXf9aJmF-js,2439 +torch/include/ATen/core/Vitals.h,sha256=bMBRjftWlyzAlU5p-qVMs5Am_ppfMV4exyXdT9B5XQE,2386 +torch/include/ATen/core/alias_info.h,sha256=nk_ndcIKgjcGxJ8sko4IzWfY0JGzIk8XYaZwAdfjHxM,4160 +torch/include/ATen/core/aten_interned_strings.h,sha256=s2qmyKLAK_TVu0ZGno60VqwSVZsxrmFBwZujg9sSxMw,53043 +torch/include/ATen/core/blob.h,sha256=C5cv0-nwoFI0P3Lua1hCfJT8U1R76D_bof-z4g22TJw,5372 +torch/include/ATen/core/boxing/BoxedKernel.h,sha256=SY8En44wDTk8vtWO1CzPUdokN5x3YWehacJoJLx7N4c,7924 +torch/include/ATen/core/boxing/BoxedKernel_impl.h,sha256=pHz9otw_XAcNlLX2jXtkIUjqT1Wg8q_W9a4oRvfTkRE,3261 +torch/include/ATen/core/boxing/KernelFunction.h,sha256=rwrHGeVbiwgvl0iONxWeXuIgLw-s7Us-7bYbvV2uvF8,8513 +torch/include/ATen/core/boxing/KernelFunction_impl.h,sha256=jvY0c4yIaCv8eVP5OidW0_1UTH209g16y2Gk3fHVWUc,10677 +torch/include/ATen/core/boxing/OperatorKernel.h,sha256=fkeWwwDc-UjCqu10E0K69Jdf5h5Uay_BXsEv1Do8wHs,692 +torch/include/ATen/core/boxing/impl/WrapFunctionIntoFunctor.h,sha256=AvWOZxgDAqErgFwkc1s2wVMod8j4lBv5H4aW6XIQZBk,1313 +torch/include/ATen/core/boxing/impl/WrapFunctionIntoRuntimeFunctor.h,sha256=nIpD8XFNKEIJdR6RgF9d3-N0uOSBgqKYIzBw6P0iBVs,1454 +torch/include/ATen/core/boxing/impl/boxing.h,sha256=IEVUo1jO49t1KunyDr89YM9tkhjuYWCFMkwlwptpP8A,13227 +torch/include/ATen/core/boxing/impl/make_boxed_from_unboxed_functor.h,sha256=wFsNAh1sN1lOwz8hx3N5cKIQYtCPsY46mLU0ig52yw0,30873 +torch/include/ATen/core/boxing/impl/test_helpers.h,sha256=4Mm5y1fbiG2WAz-hExEm-JmEUd38iktQenClw64q2Qc,4296 +torch/include/ATen/core/builtin_function.h,sha256=EOobCpJeaEZKID46YX3CcJ1C9KsYofZny7xqMPXob1A,2044 +torch/include/ATen/core/class_type.h,sha256=kaNpTw9iFHbcWB9mP30jO_vzNJnxgVSL_0bZkt415Aw,14067 +torch/include/ATen/core/custom_class.h,sha256=K5zORoYA965P8p4mtrEBnTXN7HzMA1x7KECVMrvTPG8,744 +torch/include/ATen/core/dispatch/CppSignature.h,sha256=_TpTmgWGkSTiqcKevLVZOJMdDZsekVjcXUdiYvpTDEc,2455 +torch/include/ATen/core/dispatch/DispatchKeyExtractor.h,sha256=D1aVipyP95t0kbIZW7ZMUtwZsHRDaEbugogpwy3IK3A,9676 +torch/include/ATen/core/dispatch/Dispatcher.h,sha256=AKq0ex-vnZjpF8aXOxSXg2qCqT6y1Sru-vIFWNZlrhA,32469 +torch/include/ATen/core/dispatch/ObservedOperators.h,sha256=GKoSUqGxIkIkNOO415E5tOFAUr33uxrk_tL1vWpo6G4,329 +torch/include/ATen/core/dispatch/OperatorEntry.h,sha256=Al4AXlmQ0eU-autq5V8DXbBQjhk7hkBqVtJhOii8lPU,12927 +torch/include/ATen/core/dispatch/OperatorOptions.h,sha256=Kzc_qB8w3bMoyojv5RuhPcPaSRd64V_etw_n4blnHIQ,923 +torch/include/ATen/core/dispatch/RegistrationHandleRAII.h,sha256=e-Mj1D2ucxcOFm_VvYWsNuRxasim7WyrfkXvlfSTIhY,858 +torch/include/ATen/core/dynamic_type.h,sha256=WjhcsM-eHpYwNjfqOqJUzQhwviKOTzfraI-RlAc8_Gg,10388 +torch/include/ATen/core/enum_tag.h,sha256=qE83zdnTh0DRPITcitVnR5tRHr60ifUTRSbV0QkX-lw,421 +torch/include/ATen/core/enum_type.h,sha256=CPPPdvoO9weu3fMQ428x1vv8viiM3IUfdYOv3P9TaDc,2758 +torch/include/ATen/core/function.h,sha256=YibcseRYQojBpVAT2zetGRBWsj1W_z6SgBt3AdUxh7A,3393 +torch/include/ATen/core/function_schema.h,sha256=HwvD5IXadPaorV3tr2JxnHfZatP8v00u2W032kqM0B4,23947 +torch/include/ATen/core/function_schema_inl.h,sha256=lRuLdbt1u8mH-_iUy0H-nRwVKucxHx_Mi6ZQgkYmQoQ,14988 +torch/include/ATen/core/functional.h,sha256=sbPeH2KDNZ2JnaexgBlYvLg4ZV4GJrs3XY8HLov3Rbw,1460 +torch/include/ATen/core/grad_mode.h,sha256=uhkLSjH7WfIVojVuftgyWZ92HPS41dQiwclS9Sk4QOQ,210 +torch/include/ATen/core/interned_strings.h,sha256=bQeyda-izgyjM2J5uULW9fj1JFobC9RSWyqae03Aqq8,13431 +torch/include/ATen/core/interned_strings_class.h,sha256=Cbq56u1FJD8op8r1kX4G96PCOb2Lw7xdGMYZcqX7ajk,760 +torch/include/ATen/core/ivalue.h,sha256=BH05ne7sL1qRSYIbzysbkW33I8IY-ehu1HjlMakjpyo,50095 +torch/include/ATen/core/ivalue_inl.h,sha256=6aLsNwScJx6dlBKHTnBngCzMGhwNqiXwvcn5TMKiX24,85912 +torch/include/ATen/core/ivalue_to.h,sha256=8EZ5vbME27AVJ8AiBbT7jcvxzWCvGlTNS_12MWCdXK4,756 +torch/include/ATen/core/jit_type.h,sha256=uRkQUj_W0zPzoHsafD3M0SAVq9hQnjOciEFc7owBTvs,71734 +torch/include/ATen/core/jit_type_base.h,sha256=e-47dwyC7OIXnAbu1mEWCjUZEKHxMtxfpNx_2Tmg1EE,23206 +torch/include/ATen/core/op_registration/adaption.h,sha256=R--_LD1PxrecO5xzYLR_Df_bSZeaz15ODDBSvxapdiM,3201 +torch/include/ATen/core/op_registration/infer_schema.h,sha256=_okOkV_INif-_4BW250lAmZFjvHbns7RDyZb6hDkL2A,6811 +torch/include/ATen/core/op_registration/op_allowlist.h,sha256=2K-zPwiBAzTNsa0-db0xatdI2h0IgcUpZlj2jNakzvk,6891 +torch/include/ATen/core/op_registration/op_registration.h,sha256=VOp1HXeIiW3gF5Vq66NTByW0l7VI87k7aB-kOimfMH0,28639 +torch/include/ATen/core/operator_name.h,sha256=Bigj5XgdGA63OBT_5f44Bf0KkO7cRo530FkVva-lOrk,3018 +torch/include/ATen/core/qualified_name.h,sha256=0dN_w0uzEKRTrRVkIifW685vE2MZRte5XrQJeMnluZo,4373 +torch/include/ATen/core/rref_interface.h,sha256=-R8DtC-57uYmqAgGXh-3Guu7gHLRnxpkgJO4L5wMEnQ,1138 +torch/include/ATen/core/stack.h,sha256=bXUd2uHlT9Onhc0AuiOu9t_dpTK0YxU5PqVaAad4Feo,6076 +torch/include/ATen/core/symbol.h,sha256=2biKjnmqHB4tRsXCmK_ioN6RcBq_DCUN9ntusaosqj4,5874 +torch/include/ATen/core/type_factory.h,sha256=SUgeuP5s3d4XP0GKMviJP5VZdQrssZ1I38CfLH6duSs,3252 +torch/include/ATen/core/type_ptr.h,sha256=W6BF90VCwf-4hEKj357ZldZFdOBQPskm9z32s5Oe8d4,1223 +torch/include/ATen/core/typeid.h,sha256=kuExuy1u5A34ATIuUUgf_aPWYvKKXQwfE0OLtHs8hhM,29 +torch/include/ATen/cpp_custom_type_hack.h,sha256=iHNzBi3xpq3EtJybGmG3rayftQ4zSCF5UeZRBQuOBDI,5455 +torch/include/ATen/cpu/FlushDenormal.h,sha256=QqfyFZmXGzLL1WuhGhc7SWsNq6-TARAJufstsTuMjQw,537 +torch/include/ATen/cpu/Utils.h,sha256=015QCShlG2__MCLyvcyZjrJddz3RM7pu61DP2cH2hl0,189 +torch/include/ATen/cpu/vec/functional.h,sha256=PznpXDxQCMjC8FX6vXq8opByq5PY1JElx5blu6kIttA,102 +torch/include/ATen/cpu/vec/functional_base.h,sha256=plznKgg52-WsNYbYPx6t-Sizu4RzHY_cBg96LudHC_g,11760 +torch/include/ATen/cpu/vec/functional_bfloat16.h,sha256=neKCInO-xDPd15Zl7Tuu1dTQN1mx94QI9c5l9eNhkKQ,25640 +torch/include/ATen/cpu/vec/intrinsics.h,sha256=9qCBxPS6Bk0QQ94mj8OVlZ5f-cHuq31J0waxvnsQfcg,1880 +torch/include/ATen/cpu/vec/vec.h,sha256=THgzw89WYyXflSsqA-qvwfFV39r-i4t8mkS-xkUk1e4,1284 +torch/include/ATen/cpu/vec/vec256/missing_vld1_neon.h,sha256=iUZEGw4kcopg806wRIVP-R5Z8YWxRpUTqXauRcy8yKY,13559 +torch/include/ATen/cpu/vec/vec256/missing_vst1_neon.h,sha256=1bgQ5STR5_8v-jf2MPYWv9b-q8Px_aUKcI_BKN18BTs,282 +torch/include/ATen/cpu/vec/vec256/vec256.h,sha256=_Sl9L9ZjdbJU1tzKLE9wOPSreEAzOnFU6jC7IjLmFko,10144 +torch/include/ATen/cpu/vec/vec256/vec256_bfloat16.h,sha256=uecedTZ2WoVeweWhISMUiU37ARk0ocYLbfiT7CxMCQs,39121 +torch/include/ATen/cpu/vec/vec256/vec256_complex_double.h,sha256=ZOLRz1mvLezWoFdgWgSKVnqD9wOUpSL7IlU6GztsAr8,18145 +torch/include/ATen/cpu/vec/vec256/vec256_complex_float.h,sha256=NFzki8Y-JWXP0UA0TIjd8JdDpk9swLCQRq8qNOblRwc,19950 +torch/include/ATen/cpu/vec/vec256/vec256_double.h,sha256=uhqyMTPiiCkkC1VUEVvfCr1K7tVwG3_cUXEHiGRGiQk,14325 +torch/include/ATen/cpu/vec/vec256/vec256_float.h,sha256=PUWIu7VKD4BiTLbTgcXYSF7bKpQmyZ0PT7wdBO2RJHw,19217 +torch/include/ATen/cpu/vec/vec256/vec256_float_neon.h,sha256=8rsCfyBzhKETycAuUueh4WWTGTzD8lfTAe4VPvL70yc,29310 +torch/include/ATen/cpu/vec/vec256/vec256_int.h,sha256=KnBemBxGd2pikKCZGrvGqXubRU-jTfLOXTi06cSav5g,59148 +torch/include/ATen/cpu/vec/vec256/vec256_qint.h,sha256=XqPqzAGyf44N7a7SM_uAp4DhGc9AXksXipw6N_wt5Wc,46798 +torch/include/ATen/cpu/vec/vec256/vsx/vec256_bfloat16_vsx.h,sha256=XHJUDW6gOWZynC6lyTYph5bb3Tljy0hvLMdGrVAvm20,1608 +torch/include/ATen/cpu/vec/vec256/vsx/vec256_common_vsx.h,sha256=JXWFwf8ksihkmePgOVKaNqOIY-O3FOCzoZlLYGOSF7U,8052 +torch/include/ATen/cpu/vec/vec256/vsx/vec256_complex_double_vsx.h,sha256=o-4PSj6f4JAp1T87gAs6JE1uXnS4vDyOZYA8R5dw1dw,17241 +torch/include/ATen/cpu/vec/vec256/vsx/vec256_complex_float_vsx.h,sha256=4OSRmbQqHJ80sMiwVfk09qEQrZch5K4BTlanWqg2bjs,19765 +torch/include/ATen/cpu/vec/vec256/vsx/vec256_double_vsx.h,sha256=0yk98BtbHnLv8Ce8UcrwElfW-DGzscfytYMLd8rcfEs,13890 +torch/include/ATen/cpu/vec/vec256/vsx/vec256_float_vsx.h,sha256=KaMeUO9zIThQlEMrJopLCZAESwPrlNMIopCkTVUzieA,14427 +torch/include/ATen/cpu/vec/vec256/vsx/vec256_int16_vsx.h,sha256=4oocOZ-v7tarE18kkjoUSb2P6-NH36A4MlCbNIM6_ho,12619 +torch/include/ATen/cpu/vec/vec256/vsx/vec256_int32_vsx.h,sha256=5DwLXRz69_FaLO5f7owU8dSnNmJCbEiqeuQj-v1557w,10447 +torch/include/ATen/cpu/vec/vec256/vsx/vec256_int64_vsx.h,sha256=afGq99Ht4_LImVdkmdrRMO4Wt-SZjiDWvq7DfTRnjDk,8686 +torch/include/ATen/cpu/vec/vec256/vsx/vec256_qint32_vsx.h,sha256=6rJOaIoTV-3v1vkODHhqtai39sQ7xYp1Wnh0yKVB9P0,8197 +torch/include/ATen/cpu/vec/vec256/vsx/vec256_qint8_vsx.h,sha256=lNYI-iio0Dp4P6oOgKkaQMcJXYV4OQUgDJbcSFaFYHo,13476 +torch/include/ATen/cpu/vec/vec256/vsx/vec256_quint8_vsx.h,sha256=1LAH-R5GzSHYWj9NfVVwcB39noGWvuQu7EAxZbkZkZ0,13851 +torch/include/ATen/cpu/vec/vec256/vsx/vsx_helpers.h,sha256=GP3m9-vJmb5x3mt26-Vt4b-k21JVBC-CHc5kSb1R0OA,19980 +torch/include/ATen/cpu/vec/vec256/zarch/vec256_zarch.h,sha256=blC6Ywj4nWEl3BXGijf-cp0HpDkpbXkzcUvGiaQdNO4,84602 +torch/include/ATen/cpu/vec/vec512/vec512.h,sha256=mDtia5OLGaer-AybZx9xbFGt6DTodKyD3LETnWVG6VY,9504 +torch/include/ATen/cpu/vec/vec512/vec512_bfloat16.h,sha256=B_8j-Kpk7-SPf7mU_fhaE077ujywkYyL-G6bVh-ewRc,44175 +torch/include/ATen/cpu/vec/vec512/vec512_complex_double.h,sha256=s9QQSW2yCuUMhCLurFUox4HfsAyK7MP1OuGIdlyqyVI,23506 +torch/include/ATen/cpu/vec/vec512/vec512_complex_float.h,sha256=a8jzgusRzZqNQmWNHsRcIvyTQzN0-xcsTdWqMan_FyY,43700 +torch/include/ATen/cpu/vec/vec512/vec512_double.h,sha256=ym7P-HGWzjrTzsY9XpV7Cgzoau03JODmXRJnIUrlcFU,16790 +torch/include/ATen/cpu/vec/vec512/vec512_float.h,sha256=tvQLp5bT-aCc5u39npyLLv7v5siKRygLD4vkAmMz_f8,26751 +torch/include/ATen/cpu/vec/vec512/vec512_int.h,sha256=BxVVx-Oh4jxQL0GTdJfDQ9H1WwE2pllrwBpNyW3BApQ,54932 +torch/include/ATen/cpu/vec/vec512/vec512_qint.h,sha256=tt2TrxBStrGSrF6WespJwSvQXVMPs18eKVUcnPnE64o,46711 +torch/include/ATen/cpu/vec/vec_base.h,sha256=BnUl7ZnwCIQduaROHrOULZCXtkTa1xClzhAWVJkG930,39964 +torch/include/ATen/cpu/vec/vec_half.h,sha256=UuK6ECbFwsYk2WkxuY9lDq4O3LQEQdpTsldHzZne3Qg,1388 +torch/include/ATen/cpu/vml.h,sha256=-AA4QSJzQtyfiqd2tQZyZ80zlKbt4s7TS_huhcU3rXs,6046 +torch/include/ATen/cuda/ATenCUDAGeneral.h,sha256=hzsZuf9MUxBbRSSpsefJgyxO9RnmYcnfdKYOKFEfIwE,190 +torch/include/ATen/cuda/ApplyGridUtils.cuh,sha256=FSaqc0l0nw9OnvuJaHMIGJjNcNyHCe8iQ_GOcX7Qf-M,1300 +torch/include/ATen/cuda/AsmUtils.cuh,sha256=LQzRGYOe3jlVaNogJAUH-v9fldTuGQQshcNNeU4JzD4,3394 +torch/include/ATen/cuda/Atomic.cuh,sha256=443ddaBbPsM5aKHaUpgQl3YaL653gsZM9QeWKZtXlRU,26818 +torch/include/ATen/cuda/CUDAApplyUtils.cuh,sha256=R-jx0cP9FgqBlLMAYV3WcmEHAnKhVQWgYD4_SHDHgEA,20449 +torch/include/ATen/cuda/CUDABlas.h,sha256=WoYRv5qabjnSTw0tg-4P-mB8C5WnpUhSRjEggz82g2Q,12035 +torch/include/ATen/cuda/CUDAConfig.h,sha256=cwpliAylvjcwIGEyIpqB86v-He9quxJ3mWEKmJk-N84,886 +torch/include/ATen/cuda/CUDAContext.h,sha256=Ig-8EeKPP61vhcGchq20bULnvd-b4RkqJE-PGXs0qcY,238 +torch/include/ATen/cuda/CUDAContextLight.h,sha256=GRTYxyFYGpzvUfyYDvq2ybkiGvdFr5Na0SBvAKwa85E,2432 +torch/include/ATen/cuda/CUDADataType.h,sha256=J46iI87eR8LXOnUNdnkDBYnKSOG-bAqHMHViAGoYsX8,2662 +torch/include/ATen/cuda/CUDADevice.h,sha256=1n4a7Uxt4i3pixkfEVCh0fiz8ExGeaeQ-kdUzFp4Dlo,532 +torch/include/ATen/cuda/CUDAEvent.h,sha256=kBUnJ9zL4zW7EqZ54qjmNW3dIYn4Yx5zOziOZiTOVAM,6768 +torch/include/ATen/cuda/CUDAGeneratorImpl.h,sha256=1hy8nfzGZo7LrSCov9lLcmYvLK90TI9uheEcF0kgdIA,4848 +torch/include/ATen/cuda/CUDAGraph.h,sha256=qPoXVnvg3jFpQyVuOjwEx2dRJhvZHuYly62hiGWysr8,2830 +torch/include/ATen/cuda/CUDAGraphsUtils.cuh,sha256=xfjQVlz9XD5vtCr_cOQ_BVBRsGATNHhdSAC0JImqyXY,1978 +torch/include/ATen/cuda/CUDASparse.h,sha256=j9wnXBQB6OEfXJTsiQkbNi_7YGwE6yRmJ_70i-ZWHDA,2904 +torch/include/ATen/cuda/CUDASparseBlas.h,sha256=2fSHeA4LmKmiEfrU4l0mVKS_3WxkG2k4uTrp4Lr9cdc,12703 +torch/include/ATen/cuda/CUDASparseDescriptors.h,sha256=rPKHIK-4qFB_FQ5TCihkHukOCjiEG4IfORk7_RxCSl4,8306 +torch/include/ATen/cuda/CUDATensorMethods.cuh,sha256=cyQq_CW-cqTVYG5n2yQKI552IDhMnlGZqFPurRzdUk4,270 +torch/include/ATen/cuda/CUDAUtils.h,sha256=agWW0ofbSjZFEJyLb5rueLR4p0-4S6Z-AN8trrvch40,416 +torch/include/ATen/cuda/CachingHostAllocator.h,sha256=RrHe7XCgvS6heFj4nBU7GjBKhJQqvWlToA5wtRKRYk0,1395 +torch/include/ATen/cuda/DeviceUtils.cuh,sha256=M6xUbeOJBa9xF8gPLhSG7AIMDbK4e9B1avhM2eXLXXU,3280 +torch/include/ATen/cuda/EmptyTensor.h,sha256=9kcrFfIGV2npF6GgAfVd__WOy5dqjB57Xj5_FwpcJb8,1206 +torch/include/ATen/cuda/Exceptions.h,sha256=i9rJiTJCLwZUXDWGF2XugA-pTHncod1A7Pa0oofFfpI,9109 +torch/include/ATen/cuda/NumericLimits.cuh,sha256=Pucf4S3VEL-sT52Es3G9iXpX9WUXGjwR1-RvN1-6Hww,5214 +torch/include/ATen/cuda/PeerToPeerAccess.h,sha256=EMjud2nmOSYQsodrAYW_N6ph8zsRXYRPjrAn-s1NrZo,239 +torch/include/ATen/cuda/PhiloxCudaState.h,sha256=9ChfldlFF4J6Qcr7VNBtrQ_-jKVoQquIOuJKLYPXz0k,85 +torch/include/ATen/cuda/PhiloxUtils.cuh,sha256=pVnvthsuIHgFnebV4_gj01KXpuo3Fgddc3cWi1uswzE,95 +torch/include/ATen/cuda/PinnedMemoryAllocator.h,sha256=bfqZXydAQC59Kv3VBwTvVyUVoK2aazh9Qoh9Qvo9m94,245 +torch/include/ATen/cuda/ScanUtils.cuh,sha256=OolU3qBsTJupQmcl407sFTkepxZ7gdUO5xi1i1iBQxI,2027 +torch/include/ATen/cuda/Sleep.h,sha256=oh__MbfA1smV8bkqZIwz9-W4R4PB9vuh2G7BQzGs6mc,225 +torch/include/ATen/cuda/ThrustAllocator.h,sha256=JgK1MhDwoM1x_OSXcRaZqE6WmZ3DonmAWc0Z8WKiEyg,505 +torch/include/ATen/cuda/cub.cuh,sha256=cdGIx43R1o13NbZPM-SiQxZDzJafFpm8r8WcVkfIzmM,15292 +torch/include/ATen/cuda/cub.h,sha256=ShHxTFdAfPPq6Kv6qWibU1C6nkulnBX-hkIgBJVm1S8,3373 +torch/include/ATen/cuda/cub_definitions.cuh,sha256=oZ_AOGaE8MaiagHPLDyoI39QhX23HNMwnOyKAMRck1U,1452 +torch/include/ATen/cuda/detail/CUDAHooks.h,sha256=d0WQ3kTRROLQohsFqcbRmcIBRt0yv4iHAbsAgYJZfIs,2214 +torch/include/ATen/cuda/detail/DeviceThreadHandles.h,sha256=F57VRaNBgNlvDq618YLluy14j3zFypTm7YIxseW_Ep8,7008 +torch/include/ATen/cuda/detail/IndexUtils.cuh,sha256=Q0Ba44_PssF99_y7Oiil0xWS7Aa1wlVcmI9sgpKHaHI,701 +torch/include/ATen/cuda/detail/IntegerDivider.cuh,sha256=qPJfE_dg2VjrM8lgNt7YVA7ltRg-X1qt92XJCSW-w_o,4019 +torch/include/ATen/cuda/detail/KernelUtils.h,sha256=6B57xlTkXWn5KX9uMJzDpU6w11OVyLNsufwj1pcRDl4,1523 +torch/include/ATen/cuda/detail/LazyNVRTC.h,sha256=mxEGFOoO7658DXR0jEe_TtUN0UShNHVM7xokcFufs3c,220 +torch/include/ATen/cuda/detail/OffsetCalculator.cuh,sha256=95SweK3n8bOBlLqLEaJNKQpuZbOrbW6F_PUUD1VzHm8,4431 +torch/include/ATen/cuda/detail/PhiloxCudaStateRaw.cuh,sha256=ZRzQ2coo7J_Cl65p_FtMZ092-oSfX71NtBzSXf-mKVQ,1354 +torch/include/ATen/cuda/detail/TensorInfo.cuh,sha256=Oq02D7A8aFXr0A1f5IG8vUa5arVyGiLJwI1B2sFhpIk,3239 +torch/include/ATen/cuda/detail/UnpackRaw.cuh,sha256=pMSjIYoTq_pLkG-Tvwlzd2nagrp3gSJlCpI_yXPYnhM,1462 +torch/include/ATen/cuda/jiterator.h,sha256=yfP0SBXGIcp0aZq4N5TqNF8XDSmIqgENZeGac4xd9ik,960 +torch/include/ATen/cuda/jiterator_impl.h,sha256=_v2_Ms8lNjS2LFQ14JAV1F2xnHylqcc_sk4u9oOE8ZA,7104 +torch/include/ATen/cuda/llvm_jit_strings.h,sha256=xBnyc1FWrmVgnFrIS-tvwHdINw5reXg7j1W6wAHsa7c,428 +torch/include/ATen/cudnn/Descriptors.h,sha256=mMwkLAEC1barhuZRwUrMnbXQTZ-e6Ljb0MdQ6ezE1Eo,12753 +torch/include/ATen/cudnn/Exceptions.h,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/include/ATen/cudnn/Handle.h,sha256=TuMzX-lyr4_V_qekHi39lJeLx-Gm0V4XDET-Qxo1z7k,205 +torch/include/ATen/cudnn/Handles.h,sha256=y6xfj3ZCKYNVzohfiFqsqeNSeXCpHSVqtB7a5WLhF3g,44 +torch/include/ATen/cudnn/Types.h,sha256=vyaGyS9Fbez77D-02fpsAcsj7P82KXOJmJBQoaETECU,322 +torch/include/ATen/cudnn/Utils.h,sha256=OAADb_jWUmykKpMTWDgCOz5LotXGjbuzIgO_9mVF4qw,577 +torch/include/ATen/cudnn/cudnn-wrapper.h,sha256=jN_nEntbXSmalFO91iIdjHawvefbEahucG8oHZGy6-8,493 +torch/include/ATen/detail/CUDAHooksInterface.h,sha256=pBLCVZEFPvgQLMTAEEkGf9IIPV-CJzYJDXLv3t1Et3Y,6885 +torch/include/ATen/detail/FunctionTraits.h,sha256=gZXUnOwqrUBfgLMosAfQQmfqVuF6rmZTlAB9TJZBk3E,3056 +torch/include/ATen/detail/HIPHooksInterface.h,sha256=nppC1MGkz8H0mTZ-tVQBDQUYHgUk90YcVVN4mHepBX0,1893 +torch/include/ATen/detail/IPUHooksInterface.h,sha256=7qE902FJwvpkgiX8WQO-RpZTzOjOf-o-wdANa_95oSI,942 +torch/include/ATen/detail/MPSHooksInterface.h,sha256=Tdio4o5cUN6sGFzFxovaHDnETFDwj8YzM1P14jjShHg,2891 +torch/include/ATen/detail/MTIAHooksInterface.h,sha256=b8s6gtRXO8q0HB4FDOX0tEVfmLsV1Zi7EsJKK7xOrls,1174 +torch/include/ATen/detail/ORTHooksInterface.h,sha256=w7bxdmdKsM8IgrRa1bmqkr0WmdrDhO7MKMBn3--6fu8,1113 +torch/include/ATen/detail/PrivateUse1HooksInterface.h,sha256=pk7poOg9LUa0nCvir-o3_TBijljVIx1b-Upd1Y39MJQ,897 +torch/include/ATen/detail/XPUHooksInterface.h,sha256=yvogZzufTLmbzvjGMMQ4YcyXW7u3KnSjsc7fF7YTg1A,2633 +torch/include/ATen/div_rtn.h,sha256=sPoWObIG7LtKrAxw_5aTCP-bqVotCNujmu_P0kzgN-g,211 +torch/include/ATen/dlpack.h,sha256=i-p4BERiSNWflQp6Ebu5BbnCX8xiLCLFyIhGncDpe6E,7014 +torch/include/ATen/functorch/ADInterpreters.h,sha256=-29jJLOGOyQb3oEA9TC5VEJig-INBgJiYAoh1GpUWX0,1560 +torch/include/ATen/functorch/BatchRulesHelper.h,sha256=unWbfoZmGde9eesGC-I2hJpKdU3k2OT6djUkcQ72iBI,18267 +torch/include/ATen/functorch/BatchedFallback.h,sha256=bVftski7cdzVm1XocpesCC01mKpuw10BK7f_MDUlV3U,3439 +torch/include/ATen/functorch/BatchedTensorImpl.h,sha256=OXIswooKaH7M0aK17PFVv0EkiBbmcSMUqC_LyGEg6ec,6396 +torch/include/ATen/functorch/BatchingMetaprogramming.h,sha256=enOI3mOiGHkDt0lyD4-psit0pfUdi0DN0VdoSwBM3K4,4940 +torch/include/ATen/functorch/DynamicLayer.h,sha256=vMxkzD_O0omVFHpu9Q-ltMh_mYWXde6Phywm38486W4,5472 +torch/include/ATen/functorch/FunctionalizeInterpreter.h,sha256=1wgCr1aYCHCafvUISKOkRq4UKq32Xb2Bu5vAVhejnOs,907 +torch/include/ATen/functorch/Interpreter.h,sha256=tIMXFs53XkOGVUij0-A7aZP0HtT9cKlBswQ2IE8Nstg,7863 +torch/include/ATen/functorch/LegacyVmapTransforms.h,sha256=U7xVwSM6IhczoBOhwup2PAHCI0cFgi90EWs7MZWXA5M,8241 +torch/include/ATen/functorch/Macros.h,sha256=KVN3mhngmrlRkvlHdP-X28YRu4zrvfxVBW_j9PFoR-w,50 +torch/include/ATen/functorch/PlumbingHelper.h,sha256=LHdLlEJZYK3cJJmLFT6kjX5I58LrdZvqen3PLSGWclE,2838 +torch/include/ATen/functorch/TensorWrapper.h,sha256=oHUF3f9ZTersfTNQoYzshKiaUZq8aCnMxr9M74mO754,4021 +torch/include/ATen/functorch/VmapInterpreter.h,sha256=n_Qh7KijuFE9YImBryejjToM735303IN1K9LbwchexA,957 +torch/include/ATen/hip/impl/HIPAllocatorMasqueradingAsCUDA.h,sha256=pLL6BDYKA83uEcNxnz2TM6dOzBwZjNp6jlJ_Wn2_ZEA,875 +torch/include/ATen/hip/impl/HIPCachingAllocatorMasqueradingAsCUDA.h,sha256=lwoGk5s7GA1FSagtjE0T1C0xEnhNbWWia9TOu3sbkg0,517 +torch/include/ATen/hip/impl/HIPGuardImplMasqueradingAsCUDA.h,sha256=6IdKSUZw-vrrWp_rFAOc789l7gO6ELk9K6yr9JGXHDk,13949 +torch/include/ATen/hip/impl/HIPStreamMasqueradingAsCUDA.h,sha256=d39swm5oDRE1s69j80HLUU2ieaLURWvMrllrOs-4J2s,4318 +torch/include/ATen/jit_macros.h,sha256=P9m1lVGf1syAvF20g-tKHFIc8eGCp8gO2rV5Fem9gfc,230 +torch/include/ATen/jiterator_macros.h,sha256=X8fFoFw_LAws7_Hw5k1APlSvvu03ahBZhGYQ_Qpfvi8,1506 +torch/include/ATen/miopen/Descriptors.h,sha256=fzctcbp90QDQfAYScC4ExDxavJJq5YQdPAH25i-_BOE,4761 +torch/include/ATen/miopen/Exceptions.h,sha256=iphmGt4foYp-oHbK3ZLW3vblofLb83gNnHY506HS5o8,1076 +torch/include/ATen/miopen/Handle.h,sha256=X4mpxUvHXTiqmtmKlD-cPHYMHb5u-XF0U2tPJr5k_0c,141 +torch/include/ATen/miopen/Types.h,sha256=P1iunZ2QG0vFpb1QON-4Dn199S_I5rppfdoJmnjNAiQ,233 +torch/include/ATen/miopen/Utils.h,sha256=-NuO-vc2fpcO3dLawvuoRnXRibX8W0qzYxW-31BCQGo,401 +torch/include/ATen/miopen/miopen-wrapper.h,sha256=F3RQZuVLB6BxC5084QGXs1o3vrehQdZpnzQ4TE5fLLc,41 +torch/include/ATen/mps/EmptyTensor.h,sha256=rMxmU3iK2joTcBxzQPZWdhel_v9SPQmCzniihZoHJJ0,760 +torch/include/ATen/mps/IndexKernels.h,sha256=wyCO-PtmeMfganiLLVicdIhI96E5-cL3PwiSlG6QVTk,25301 +torch/include/ATen/mps/MPSAllocator.h,sha256=jARA23d6PVUPPOzCYtnxXvf0A6dE1ivB6L8X2bl-vNI,18484 +torch/include/ATen/mps/MPSAllocatorInterface.h,sha256=vG4G1oX5WOFSn5yN24z6rM6EP4o71krvCBHFT5ZMc-A,2606 +torch/include/ATen/mps/MPSDevice.h,sha256=jY35PUwe35Ok8VyeR3W_QCj7YN_G76VNvlCoU77mHlU,2100 +torch/include/ATen/mps/MPSEvent.h,sha256=T2uUFjesoudny-Hnns8A7WJBqMQZwURJdldbyku-aws,3547 +torch/include/ATen/mps/MPSGeneratorImpl.h,sha256=MoH1bFMjhmr4lEHfZ8TlHu7lQfnfPX27F8VS-s-FLa4,1554 +torch/include/ATen/mps/MPSGuardImpl.h,sha256=A6c1quPR3tnb_I2hNeylaM-aoqXi29mCVnPi40vVyLc,4963 +torch/include/ATen/mps/MPSHooks.h,sha256=8Mp5dLRWX7yxD-FVXpq-S72gFPJQiCWs6fUtLEfJO-s,1689 +torch/include/ATen/mps/MPSProfiler.h,sha256=nS6TqpwPdEeTsUl5wNR4JNkmBNHaSLhLHEXO4pMqj1A,16689 +torch/include/ATen/mps/MPSStream.h,sha256=4mrco9iXBmZEfrsD0qfYb5UsbMtyMXkGRN9pu72Vjsc,4273 +torch/include/ATen/native/Activation.h,sha256=FC1A_oWpfo5XvtGvFw_06wQq5gsfU5KJgAeBvk3F9jQ,4270 +torch/include/ATen/native/AdaptivePooling.h,sha256=qc1GOkHeuVq1eZTlYCssCD4sAipPzR-7vDr6yOz3e3U,1645 +torch/include/ATen/native/BatchLinearAlgebra.h,sha256=ZV0UJcS2-QJdhqDu7I_nvD-F98BEYXbc_FYUyt6nzRU,9933 +torch/include/ATen/native/BinaryOps.h,sha256=snb2MpQs3HIfT3bO0MB2f7rmJd7EYgcAtlB3dMkOZjA,6302 +torch/include/ATen/native/BucketizationUtils.h,sha256=PazegwF3rjhiOICZZ72P0UXQSwdbz3Vv2ebV_WC436s,7789 +torch/include/ATen/native/CPUBlas.h,sha256=bhSsmnoI0bIazf7gfzEzoCbVk4x_atu9k3jYvF5RiAc,5667 +torch/include/ATen/native/CPUFallback.h,sha256=D4r0mmVwRoFTzMjiA2tAY8NVH12W-X58yykQ14T_loE,2326 +torch/include/ATen/native/CanUse32BitIndexMath.h,sha256=gHAOodx1KsektVgmllOKAX4n1QvGJfKyzx8qSGE8GDk,242 +torch/include/ATen/native/ComplexHelper.h,sha256=7sEGqDlt7a0a3xLegzx7xwrHinryo4bilWY_2SEQnqE,4038 +torch/include/ATen/native/CompositeRandomAccessor.h,sha256=BMz1QA7muxCi1EoKhTSfzjI_Zsr-EM6HvVfIRrKamBI,876 +torch/include/ATen/native/CompositeRandomAccessorCommon.h,sha256=RPSHeLzIX5n_q8Qoncq9pnWaCGm1fqmXq44ze_KYhKU,6732 +torch/include/ATen/native/ConvUtils.h,sha256=qddEsLa7Zck0rjPbXIvk331VA75Vq4c9MQxB1hbrvIA,19610 +torch/include/ATen/native/ConvolutionMM3d.h,sha256=LPOz-FenTJ6sch4u2UYsmEfXHDC-qDvpLFNCV_wXDsg,340 +torch/include/ATen/native/Copy.h,sha256=GYvJ0m1DoSgVv4I8AIwIZJNsby9x1CZrwA9qiww-98w,373 +torch/include/ATen/native/Cross.h,sha256=YuhuqDz9bvGFqUJp2K3fh4LEd63plfrK1HkKCpnEHi8,260 +torch/include/ATen/native/DilatedConvolutionUtils.h,sha256=s0SPWkwNQEaPiBwa1OkN1bNtvhfdRkvAJ18Z-nqlN5E,6402 +torch/include/ATen/native/DispatchStub.h,sha256=sl4rh4e9vsi1QwZ7PLn_LYKDBPaM-5eD2agspi9oyRc,9971 +torch/include/ATen/native/Distance.h,sha256=u0wUeUc7yOr3eog8qwQcTkaOlXqt5mYy4eYsk2Ql6dU,724 +torch/include/ATen/native/DistributionTemplates.h,sha256=xBcXfKSDVZG9iPBSTWo_hCOBfWpnfvVr3aJyO35KpEk,17959 +torch/include/ATen/native/Distributions.h,sha256=nIgbp0bzOvjhQNJdbE36JgKxK5x7an54y9-7g8ZOErc,21601 +torch/include/ATen/native/EmbeddingBag.h,sha256=M9Hz-LCHg3apZVlvpd4cQtwB9FwyQPCItYhZGk2TgTg,4920 +torch/include/ATen/native/Fill.h,sha256=gv7QIvTW4Q337qi4Lcm_qZX-V2P_Z3DoZieAtn-88CU,397 +torch/include/ATen/native/ForeachUtils.h,sha256=GcdjsvpDo1WvQDyMOT0gao1TuS5y8Gh8ut_mJBeW-RU,13493 +torch/include/ATen/native/FractionalMaxPooling.h,sha256=RX0zkqtFAChACw2fEu_qxirsHZbDUoQdqN7GMq10gVw,2159 +torch/include/ATen/native/FunctionOfAMatrixUtils.h,sha256=VkGp6Qn2bQuZCm1Psgk7xEkDUggfSXS5hE4G2_37WCI,389 +torch/include/ATen/native/GridSampler.h,sha256=Xl5T64Aghe6YGizdW4N9ewzaprtguc9LNmnJw4hX8LU,10401 +torch/include/ATen/native/GridSamplerUtils.h,sha256=jEXgXfOvhiP1dZotn-PDJ4MgKRzLYXJdlmTzFPAKEXM,3510 +torch/include/ATen/native/Histogram.h,sha256=rWPvzPNc42g5-j4A-N_fNMRWdWa1BMuk2qU-nEMj4xk,748 +torch/include/ATen/native/IndexKernel.h,sha256=EAAZkWVJuppJTFYpLGm8ciN7RtfYgRyz4gYv_hJJXFg,1714 +torch/include/ATen/native/IndexingUtils.h,sha256=cmITxvTnWKnNgKcm9To0N56kqSbk9lJa5NjL6Dlkm4U,5570 +torch/include/ATen/native/Lerp.h,sha256=IeOOeCmpL4gJVHEErIhEK6vvXHvcbUgpOi5tGWOJ7xs,1463 +torch/include/ATen/native/LinearAlgebra.h,sha256=ps1zvs2J84CGUVLcTch0ZsIsugnDJBGHsHMx_6Fj2G4,331 +torch/include/ATen/native/LinearAlgebraUtils.h,sha256=SxYDK_4qR9eOnAraEQjmFBG9Mn5QJAV6rzDmo5jutc8,26645 +torch/include/ATen/native/LossMulti.h,sha256=kAZq7MnwuNxAldEAcwy_nKkc4h92_qXNR2cVPaanxvM,2175 +torch/include/ATen/native/Math.h,sha256=wOaJJSfdei77NoQfiJPy6lq7ckSqPhbS07bdYBxDXBo,141813 +torch/include/ATen/native/MathBitFallThroughLists.h,sha256=Zqlt930nF4Gf0VDFlBv19LgxauGaOIP7u7Y16wWvKSk,4136 +torch/include/ATen/native/MathBitsFallback.h,sha256=bEDpMkVe6e6N9jf8rgGslmq_9jqpbp2wbF7wCKgwKBg,7308 +torch/include/ATen/native/MaxPooling.h,sha256=qtxQP3W9Miqorj23oAeCR3zifGzlWwfDm3IfjQp-RsM,1216 +torch/include/ATen/native/NonEmptyUtils.h,sha256=GssuIa3_Nbo70prkoJCxp8O7_6XqsNkAossTxmjuXoc,599 +torch/include/ATen/native/NonSymbolicBC.h,sha256=7fSyIgmOOcHjbNqiIASUqy-F7J62t4JripwZNkeqE_I,2876 +torch/include/ATen/native/Normalization.h,sha256=zH6zBjZwfNtXnyNYM8ONNmTKWe7NQOOrR-UH9EV6iB0,290 +torch/include/ATen/native/Padding.h,sha256=JN0jDdZRYwXcy7Yd_NFVTGBmQNhzcEKn-TtMoGVqonc,2026 +torch/include/ATen/native/PixelShuffle.h,sha256=eR377A8l82A9nyzqVdsKwkrWOq7DQVI_CPl2ZgS-JR0,1756 +torch/include/ATen/native/PointwiseOps.h,sha256=-ZCD27h22Imw-Fffq9l0Zyc4GhH5Oz5-0F_7mvsvLqc,786 +torch/include/ATen/native/Pool.h,sha256=2YTTqeh-I5-6FmBOacTDvlDthLkB8XWP3D1gWBRg12s,12338 +torch/include/ATen/native/Pow.h,sha256=6K4cUYxxLAcjC9xG9NsGxq4FDvmyErJ_e0XU4vrVWQM,1736 +torch/include/ATen/native/RNN.h,sha256=JX0WRObE8Z04hOZLtTikqZUYE5LagQH3rWkZvcLp_j8,2521 +torch/include/ATen/native/RangeFactories.h,sha256=Hipw9FPv9BiYw8yt2OXIRAQKbaGkiuGwQ2U2oB0bGOo,356 +torch/include/ATen/native/ReduceAllOps.h,sha256=d-elOBlAUrCrveYEYin3JqBGgcs6rZRWFuYp88nyqXg,399 +torch/include/ATen/native/ReduceOps.h,sha256=Dg1SbwFCD1RiTa0cADWLcR8BWTwPrHvKFGVSbi42jdY,1795 +torch/include/ATen/native/ReduceOpsUtils.h,sha256=M8JNp99EauO0Fl55_wzIuqpj15n8hZBGlVB2TOhnnQY,15985 +torch/include/ATen/native/ReductionType.h,sha256=JkIzyCJIBQfrRuU2fihIMpm67IDqP0LybB67UyxFC0Y,1153 +torch/include/ATen/native/Repeat.h,sha256=7M18VcgHZdBA18GV_w3OpZXmd_-GevPcZ8Qs0l3KG5U,1437 +torch/include/ATen/native/Resize.h,sha256=wWfS7P9YacwOCNzQrUZwn_PnD-6YrYo0vXdGG30y58Y,6510 +torch/include/ATen/native/ResizeCommon.h,sha256=SI9FlJjB3zI2FrRHi2ShSDHdWImHei1n1_CXcs09Cwk,2491 +torch/include/ATen/native/ScatterGatherChecks.h,sha256=x4uKiISn_jBs9ifMjxR9FbDWDaxyq63yS2PUzwSJLNc,3698 +torch/include/ATen/native/SegmentReduce.h,sha256=xtAcejU5LDM7QEIqPvyJqM9eN9hZBYPo2-WYNzi0ifQ,1280 +torch/include/ATen/native/SharedReduceOps.h,sha256=J8jXEUdosM1vPTSPLZgQ6Ygo6ujsuXtC6Gb8minTLP0,15989 +torch/include/ATen/native/SobolEngineOpsUtils.h,sha256=cxzZBRujtqn8MqU8oHtxqVu9Z94tr9jLD3f8YQlIUNs,1835 +torch/include/ATen/native/Sorting.h,sha256=pOjncf_4DapbmsWeIlamKQJ7D0Z2xw-Ylea9Ke7zZag,618 +torch/include/ATen/native/SortingUtils.h,sha256=i3rlh9XmYm2DnlDmvbqvd3jym6slpXuYZszscT7GzhU,2672 +torch/include/ATen/native/SparseTensorUtils.h,sha256=Wow-K99d1OEuKUSAvMuzjfFh8cIXEiR2GKuXn_zhv5w,6253 +torch/include/ATen/native/SpectralOpsUtils.h,sha256=fgSduCFAE1tHuHS5z2cAYCTwMO4flmQiGZm17g4xZSs,3144 +torch/include/ATen/native/StridedRandomAccessor.h,sha256=cPMgSAbNq5QR8zwKYPa9mKxRl_1xPQlAsUgi-T4xe6Q,6835 +torch/include/ATen/native/TensorAdvancedIndexing.h,sha256=45WEngvQhbyzA5sr1GZIF0dQA-8T_nB40JCF-9X0hro,2782 +torch/include/ATen/native/TensorAdvancedIndexingUtils.h,sha256=No5UgoGkSUM-yAYlj_2eaH-V_9lItOefuc_pXbWXECw,3035 +torch/include/ATen/native/TensorCompare.h,sha256=iwfjJJ_vb9qah9iIKrvLlRd5kFfFTW2679XxSnMCEEA,1490 +torch/include/ATen/native/TensorConversions.h,sha256=xXSXubQXESMbAW-fIaZji1ZNzPvhW0jT-t7BTb795-c,830 +torch/include/ATen/native/TensorDimApply.h,sha256=OstJfsVI9mQTfyo6FLZoZCTOxbYIz6WsLMqv7AE1_a0,1727 +torch/include/ATen/native/TensorFactories.h,sha256=pVXNSb-BtcKDWxw-Q7BIUVfppBs6WMBua__1syW1TGo,4856 +torch/include/ATen/native/TensorIterator.h,sha256=Q7J_N0bs9xO5NSiLO74hLIE5NUIcmr2FmkSS_eLf1GI,46 +torch/include/ATen/native/TensorIteratorDynamicCasting.h,sha256=BPayxXcldB-RL7pxk3tLT9MiUgJ5szc2J3wykocczqQ,1828 +torch/include/ATen/native/TensorProperties.h,sha256=S2KRCG52XtPNLE30U1z9NEr-lg7GJNCme19ynl5iGAQ,198 +torch/include/ATen/native/TensorShape.h,sha256=bvAOzRqMCk7BDZ1McYaKxDeMjV2-OYeuNJdIGS-jeJg,2428 +torch/include/ATen/native/TensorTransformations.h,sha256=wbnqc9UnfnF-Chexr4e3Eayl94NDPDue3Ibt9P578sQ,896 +torch/include/ATen/native/TopKImpl.h,sha256=PPsdfaQXOGd9EfqB37SKWHI_xIq7M0Z1A-FFtc3a7xQ,3447 +torch/include/ATen/native/TransposeType.h,sha256=Ge4VLRl4sgZVIlqyOXjY7WarTsulnfG26a1QTljGWlQ,578 +torch/include/ATen/native/TriangularOpsUtils.h,sha256=U_pmKG-BzKvr5lCzXu_V70vpAdfrklsNCxzIqS_c0ko,2002 +torch/include/ATen/native/TypeProperties.h,sha256=37P3hHIx2SpByQQfOse5RTyJlH31uJNmyz_rQHBXeNA,658 +torch/include/ATen/native/UnaryOps.h,sha256=h50z1wMhATB76HzOW7LF8KALu-NQdWW7ce4Z-FulZKE,5612 +torch/include/ATen/native/Unfold2d.h,sha256=uTH14g0CMaolRRr5cTjciCt1LPItMjssS_UolPL_YK8,609 +torch/include/ATen/native/Unfold3d.h,sha256=u-4T4k0XRQ09rOEOOHdKFGPnTMWb3zSvrx5sa9T6lQA,873 +torch/include/ATen/native/UnfoldBackward.h,sha256=WA1lX0SsQUc_DOsDMUBtLUNKN6sltOfc-WHDJabDP5w,3075 +torch/include/ATen/native/UpSample.h,sha256=8BvTV0ojDAJIXkzCqKrct7_Ui-laygMP-FUqeuUvSAk,18935 +torch/include/ATen/native/batch_norm.h,sha256=aTXna3N4ftEbcUxE86vl84Bu5kJiQVzgDbO5Gbgb-5g,1265 +torch/include/ATen/native/cpu/AtomicAddFloat.h,sha256=90ttAHoUfZSaD8x2wACxPWiyrBPiJAuMAzuAb-aQa3s,857 +torch/include/ATen/native/cpu/CatKernel.h,sha256=172bTLxnfq2liPP30dzLpaXXNLMufmBoHHs_Pb2QwLY,320 +torch/include/ATen/native/cpu/ChannelShuffleKernel.h,sha256=Z6GXrX8gzOCWTFBXdm9gqLOg79g6JyztetdJFA6XyN4,299 +torch/include/ATen/native/cpu/CopyKernel.h,sha256=pGN9Mcbyd4KxGqrSobU4pmKDkKwm5ERAnk5wy_uyBao,271 +torch/include/ATen/native/cpu/DepthwiseConvKernel.h,sha256=9izS3h41SEB_vJQkJArIfuL6WpGshwdJh-emc5_rBRg,471 +torch/include/ATen/native/cpu/DistributionTemplates.h,sha256=-OHpwZ1OxIvuWgiL21Kai4naoWyON_pwP8RQy19zEJQ,14460 +torch/include/ATen/native/cpu/GridSamplerKernel.h,sha256=SQXZx1_nX9fUmynO2yRsn1WLeOd8RFZjXBDP_mByfAs,838 +torch/include/ATen/native/cpu/IndexKernelUtils.h,sha256=mmDhNycBgReMOV0i8rS1CcY5nKhbzZ0Xym4mQtqd-Us,2977 +torch/include/ATen/native/cpu/Intrinsics.h,sha256=Wb3_syiw1pcSafKzSTvrsYFxA9H5BnNhkfTd9Tnc9Js,1212 +torch/include/ATen/native/cpu/IsContiguous.h,sha256=elPM3Sk6yG8G2-JYv7SW4vrhoDFNoUkudxqUHMUXR7U,2440 +torch/include/ATen/native/cpu/LogAddExp.h,sha256=2Wsd8ecLE48TcVvv8MPaKAiqyYyth9Gmu8pmDZHR2EU,2458 +torch/include/ATen/native/cpu/Loops.h,sha256=kQY-XRfNz3MqyQU81HQxnOKyLUNGdLm6nRQxtmKR5VQ,14930 +torch/include/ATen/native/cpu/MaxUnpoolKernel.h,sha256=PnZPzRGT_YoGU8rMBWFq1Ik8L0fBJG8HpcD2NYYOdug,308 +torch/include/ATen/native/cpu/PixelShuffleKernel.h,sha256=cqkxBNtdvc6R85AGaK63X8hjHmEBXSzxj9M2a-aqxao,334 +torch/include/ATen/native/cpu/Reduce.h,sha256=IbG0_VxyuP0nFfNKk9Mdg5jXa6yBs6o8padlnpVALfc,12184 +torch/include/ATen/native/cpu/ReduceUtils.h,sha256=lGfBMLN1ldzxol2xEBu6agm1pX4d5oCUl9rDOvyxteg,8874 +torch/include/ATen/native/cpu/SampledAddmmKernel.h,sha256=S3KToF2GglCGlBOVnsHK4oGTZGeFjjkGKrOL9lirFFw,335 +torch/include/ATen/native/cpu/SerialStackImpl.h,sha256=UauGC9yWeUNZ3I4b8aWaEU3pXiIcxo08ipLYiMrZoDo,5447 +torch/include/ATen/native/cpu/SoftmaxKernel.h,sha256=UBNcP3lmiaC7l3D28FIAHwZbPs9DuCMzRL0iN4O2qRc,943 +torch/include/ATen/native/cpu/SpmmReduceKernel.h,sha256=N5ZV1t3r70FsGPsGtmTSwhG4oqMhgEGfvph8YRBqhL0,1358 +torch/include/ATen/native/cpu/StackKernel.h,sha256=Au6Np8o6HmqWrm7hW-PhyZENmuejs7x6sndAASXPIK0,322 +torch/include/ATen/native/cpu/UpSampleKernelAVXAntialias.h,sha256=OsdW6hO5mSDdXh7UB5dHA6GCCWW3DyNA26fEgftr_M4,58115 +torch/include/ATen/native/cpu/WeightNormKernel.h,sha256=zgTyBdHYh86Qf5hvdLi9tUCDmo24ezkqZ8nc2_BLWCs,565 +torch/include/ATen/native/cpu/avx_mathfun.h,sha256=Q1PlU60B3oxBMpudzeqCbGRlnEVBtSPgn2UdCy0itaM,17448 +torch/include/ATen/native/cpu/mixed_data_type.h,sha256=Fhabzk0PTs-NJE9i-rqRwbH7v4rzuJdysfV0-C0H2JU,1421 +torch/include/ATen/native/cpu/moments_utils.h,sha256=jqvpBmmAogxve1y4kPNe0p1uLSXtku99omns6y2lExk,6700 +torch/include/ATen/native/cpu/utils.h,sha256=cTZtbClMbBufMqTjD42xFaCwtfzGfCHJYmq07RBQZ1E,6085 +torch/include/ATen/native/cpu/zmath.h,sha256=Unv-JL0OmWeG-qN_EVjSTWb4IM_XxMGFhMAaFgrLqU8,6668 +torch/include/ATen/native/cuda/Activation.h,sha256=P5cfZgC8E8x-E4IHrTGWJsp-bvSfd93iEV0zUbA3L5M,548 +torch/include/ATen/native/cuda/BinaryInternal.h,sha256=BpaOkeNO7HljHl1xUbYVikQxnX7jKRZhY7OqCadLTkw,1237 +torch/include/ATen/native/cuda/CUDAJitLoops.cuh,sha256=Bz6GmPHC1E5bZCARS-bBvWNru33eRBLHdS4X_T_tvbo,10832 +torch/include/ATen/native/cuda/CUDALoops.cuh,sha256=rVhWrN9YNDyUZqu9aGUOPQGDNJRPwNQRVVJhn1_VbqA,10360 +torch/include/ATen/native/cuda/CompositeRandomAccessor.h,sha256=XtnBCyL15XJYIjUN0B2DQLkeXDqFsn5BPd6U-jj1-TM,929 +torch/include/ATen/native/cuda/Copy.h,sha256=MkXCb-zta0imFs_rA-CzVWXa3rqh4cZ5q8jZriuIxgM,162 +torch/include/ATen/native/cuda/CuFFTPlanCache.h,sha256=XsCTGUXG7hsMdGEUV1N9p1LibY-lKEJ8n1eRSHx65ZE,19273 +torch/include/ATen/native/cuda/CuFFTUtils.h,sha256=qP2OwOGhPnEbQIm09Rcx_J0Svhlvk-CjuEY2EOtskJA,1863 +torch/include/ATen/native/cuda/DeviceSqrt.cuh,sha256=AdZWqFvanSwRhnzlFK9vyhLDXoMpy9gwfW9dhRn0xN4,573 +torch/include/ATen/native/cuda/DistributionTemplates.h,sha256=Z0BnfQrNjxgqoBIJtvn-ejoinddRWMNWP35BMpo4Oi8,28169 +torch/include/ATen/native/cuda/Distributions.h,sha256=12qzUlaPXjPsS9aqFt8o2r2bfp4IPLnZb0sBFH9AedI,641 +torch/include/ATen/native/cuda/EmbeddingBackwardKernel.cuh,sha256=bk76DSvQvBTgsXU0RHb9D0cxKlIlfQwcpDV9x8-SuTs,543 +torch/include/ATen/native/cuda/ForeachFunctors.cuh,sha256=ffNOYb1OdrVOzlbYzM9cgOXC_qQxmS26m0-fmt1iYRA,22505 +torch/include/ATen/native/cuda/ForeachMinMaxFunctors.cuh,sha256=UxN958DDHsTZXfypAx-jsBPcj-M4DM8sXJYcC18oTns,426 +torch/include/ATen/native/cuda/GridSampler.cuh,sha256=ICNNX-iV69eUDfr-Qrl58Rz0Fwi-MlkZFU0SS5Y2Jkc,11100 +torch/include/ATen/native/cuda/GridSampler.h,sha256=P_B6yQiM4A279_cKWZz9DEFL397xWjNcz--8pzIT1T4,1157 +torch/include/ATen/native/cuda/IndexKernel.h,sha256=Nb58RQW5mPLguGZTgOGRtBDqXKDKCbLEcFMET6hM36k,350 +torch/include/ATen/native/cuda/JitLoops.cuh,sha256=YESWWJLTTBpyKLuVV_PZPXmZE9d5wbREcDNXHDDCIFA,6909 +torch/include/ATen/native/cuda/KernelUtils.cuh,sha256=DSfDCs_xdIxQTjqqHHHq2-RU-64aR8F_PDah2mVDuH8,4836 +torch/include/ATen/native/cuda/LaunchUtils.h,sha256=r0PwPRvBDaSUHEQm3CmFMKYM9LxatU3Zr3SYGoNf8bs,306 +torch/include/ATen/native/cuda/Loops.cuh,sha256=dzAqWmVs34p_mqWosqkqedS4JUUQ0XKM9eAVuS2qbMU,11892 +torch/include/ATen/native/cuda/Math.cuh,sha256=tMPqsrs6fu2f6OBAgOqCafr7tMCmJNa2QDEWobyeJso,122806 +torch/include/ATen/native/cuda/MemoryAccess.cuh,sha256=pIA8KmY1JLtX5LCniQVVZQyVv76HrlK_fSASgeBq2gs,13588 +torch/include/ATen/native/cuda/MiscUtils.h,sha256=Az-goaDi_bSPbHvbKtODEZcfKCdviw3XLalPqtLi24o,958 +torch/include/ATen/native/cuda/MultiTensorApply.cuh,sha256=dPtaHlZosTPQGCxTIKRq5OjzCqJPV1o6GCIQsi5aoFw,13880 +torch/include/ATen/native/cuda/Normalization.cuh,sha256=CKDfbQKZGC84A2SHSq3UsO_8GVWbTLdVxymm84umI3E,74077 +torch/include/ATen/native/cuda/PersistentSoftmax.cuh,sha256=SRBo4VOW6L1h1IMlQ1Gdm4LibEUotoh5SEejHt1HP84,17936 +torch/include/ATen/native/cuda/Pow.cuh,sha256=nmuniiZfa1G0eEFSg8FLDSTgANz92vZJXMyOdlF_2go,2170 +torch/include/ATen/native/cuda/ROCmLoops.cuh,sha256=8oWUQPFXHZ8Yu9NckyfJohHnAMbEYkz5VHh_BhpGLg8,13208 +torch/include/ATen/native/cuda/Randperm.cuh,sha256=JRj6ki2aqCRug0Kq_Jc62FixVUMrgRO_qh0-KT-qgbg,2119 +torch/include/ATen/native/cuda/Reduce.cuh,sha256=4aCCCIdEum22KueavWU9tdyoZXEiDA05zZhDLi3oUsw,48122 +torch/include/ATen/native/cuda/ReduceOps.h,sha256=qmtqmP3p0nTVFynzZ8EsBqvM1xlLOhLhzmJnmrjBuZQ,500 +torch/include/ATen/native/cuda/Resize.h,sha256=jf9VyFW6Us3R3sc_5wpJ_F6cMzHPGYTdsVZSzxtT8gc,1771 +torch/include/ATen/native/cuda/ScanKernels.h,sha256=YwFzB36CbHF6ELtQg5_QNq541L-YNT_BkabZwFcrnaI,779 +torch/include/ATen/native/cuda/ScanUtils.cuh,sha256=B_f6JMvrEUfXX5T7acaqzU2gXR0-VsU2_3_TB8rEnDI,20219 +torch/include/ATen/native/cuda/Sort.h,sha256=mpeobYqLP6-tToMrfwyr2y6ei_pIAHy0neX-CZ3ldMk,409 +torch/include/ATen/native/cuda/SortStable.h,sha256=yNg75vcvcJt78I8250zSXn_H7UW3uZBxPlKQSbB0HqU,464 +torch/include/ATen/native/cuda/SortUtils.cuh,sha256=7LFw65rsQnJASzlkQgTH9h8KIobBz9ASLiS4rdvb3WE,12408 +torch/include/ATen/native/cuda/Sorting.h,sha256=tyOJg167vdu5y2_oahkDmQMkxE2wWIAA_Sd1-mxeMmQ,408 +torch/include/ATen/native/cuda/SortingCommon.cuh,sha256=TojipEUDrObXqMCCI75bb2BQU8sAlsdmDiEqWIOMhf8,5367 +torch/include/ATen/native/cuda/SortingRadixSelect.cuh,sha256=lqTiNvJdxLUROBA8lypVJ_7aNmpmBKiaB1CZOfzVMDs,12321 +torch/include/ATen/native/cuda/TensorModeKernel.cuh,sha256=5lZXByGjt6-xQrS5Euu3ZxJh_hyAzPSLTlRIVwUu2Wo,14512 +torch/include/ATen/native/cuda/TensorModeKernel.h,sha256=Ts6qovjkJSHzmmJZMdC7i048cYRdGsXZXJMJSGIk1hk,431 +torch/include/ATen/native/cuda/TensorTopK.h,sha256=ES-i6xXC1ktxDsoILkqO7fdXFOhAO7TGCZz93pIAVNA,266 +torch/include/ATen/native/cuda/UniqueCub.cuh,sha256=9IrI9RFom8G3OWESkqn_eDOhd2nF97ZBICXxlU-0lU0,352 +torch/include/ATen/native/cuda/UpSample.cuh,sha256=HPCsvE_HaTgdxT7hj66D9K-FFr7zJvHS7WUPf32xmks,11768 +torch/include/ATen/native/cuda/block_reduce.cuh,sha256=aspoghv4Yp6nv-DFWTO_aMr_gcwK0-Dt2g6zs5pIqNg,3048 +torch/include/ATen/native/cuda/fused_adam_amsgrad_impl.cuh,sha256=U1ioq_Mt7CT9AO7qxeV9ae1PSrWt_EOPRrE--jhbTyc,1044 +torch/include/ATen/native/cuda/fused_adam_impl.cuh,sha256=vLwuo4qMGtOAKB6_hQQpJq4vtKtN9l0eVwMYgN5P1DQ,956 +torch/include/ATen/native/cuda/fused_adam_utils.cuh,sha256=zaEb5ry69Up13qg153KMTQoFyE691JOXoe6Y9k_kehg,6926 +torch/include/ATen/native/cuda/fused_adamw_amsgrad_impl.cuh,sha256=i1hMZ0RWwT0-r0VsA5u-gnk66o49a9a1FJxp1J8Wes8,1046 +torch/include/ATen/native/cuda/fused_adamw_impl.cuh,sha256=1jYJzMSk2q8ziOznJOgyE_erLlTjAaiAubU6Or7BJqc,958 +torch/include/ATen/native/cuda/im2col.cuh,sha256=jwwpJImSEKW2zYYQYKe2839o7vaD821UL7o_gSxSagA,9871 +torch/include/ATen/native/cuda/jit_utils.h,sha256=1O1--QUX0FAtGgRe4YUCx-9mpZF9n0V89zVtUF6TZv0,6095 +torch/include/ATen/native/cuda/reduction_template.cuh,sha256=jpBipwIn73G6n4yPGX1jXoAPUB4SQVANd2r4qKdP-aE,21618 +torch/include/ATen/native/cuda/thread_constants.h,sha256=zIqWk31kGD_-TgB0Zokq_PKYmtbNILZzhPMueOBckz0,611 +torch/include/ATen/native/cuda/vol2col.cuh,sha256=t_EI8AkPkMxohenAqF4w2Lasaw65frM5YSBrfuAgbkc,8078 +torch/include/ATen/native/group_norm.h,sha256=rkPRett8cs5FdUXbVwVoc1qvN7l0KSrKn6MZlOayXHI,907 +torch/include/ATen/native/im2col.h,sha256=0Ho5Km0ZJvPbhKmsOPcE1PuYHaUaaNGrDlsNWaYhivE,5223 +torch/include/ATen/native/im2col_shape_check.h,sha256=HLmXnwM_Vhcdkg_Fm9egsma7gdmdnPMDQXAtceYZ_JQ,6913 +torch/include/ATen/native/layer_norm.h,sha256=fm3598f8CxRLkVRW-nKviNcGOLA1eKs_uCGVixRT6OM,2796 +torch/include/ATen/native/mps/Copy.h,sha256=oxrgJdnHb97in2lpyB4k637i15qk-B2L_pr3ph_W_tI,332 +torch/include/ATen/native/mps/MPSGraphVenturaOps.h,sha256=gVYIrhaz2qPr0-fDCZ-VXmk8kiKhcgxy4aTkj7LDhQs,9522 +torch/include/ATen/native/mps/OperationUtils.h,sha256=DWaiafSVEEsUxKznRhuW1N-WtWnjNSCnunHtCwdtUGk,11535 +torch/include/ATen/native/mps/TensorFactory.h,sha256=-sjtEk0Ehlgo7IYeWOONV0AesCQOvLgwz48Qj55lufc,759 +torch/include/ATen/native/mps/UnaryConstants.h,sha256=T35FH2VQvaPOizi8p1NZpnrTPBaP2cSz4-bAoZ7OpJI,1265 +torch/include/ATen/native/quantized/AffineQuantizer.h,sha256=ajMS--h63K4JMSDYfTCMeKOV42Qob_wlYM1ttyPY49E,3654 +torch/include/ATen/native/quantized/AffineQuantizerBase.h,sha256=_QFFrK5F78aZY9XEpv8kCqd2DRNy7rbd7U1RDgGU0aE,1460 +torch/include/ATen/native/quantized/ConvUtils.h,sha256=MASftIKOa28JWHJatLITHQw8ixZMnSlHNT7Tm0VLpk8,2239 +torch/include/ATen/native/quantized/Copy.h,sha256=IPBQcU7gPA6UsoZ0LssBH6zNrIK-R08byy7KLnpQD3c,169 +torch/include/ATen/native/quantized/FakeQuantAffine.h,sha256=J3Zt2zhwoUWLY_FUjq1uxIEUpFtd_E-osh8GPLAtwQ0,1792 +torch/include/ATen/native/quantized/IndexKernel.h,sha256=xbgIIP4_ERQIdeMjFsiRVv2fEsJfaA9dUwbIgYjTOG4,567 +torch/include/ATen/native/quantized/PackedParams.h,sha256=Z1ptmvhqkwes4qywju5O9S9eQ9zzkny5Tcr8sfQSC-A,4739 +torch/include/ATen/native/quantized/cpu/BinaryOps.h,sha256=Sk9Ynu9H2sZSOPDMfe1skLDtsvtlEbofdbYP4Fd74Rw,173 +torch/include/ATen/native/quantized/cpu/EmbeddingPackedParams.h,sha256=i2KTZIVgnGDodnlIlk1p2PEjZv4J5CkzHnbmJWjQVYQ,921 +torch/include/ATen/native/quantized/cpu/OnednnUtils.h,sha256=6xNMja6jeCnOFQ_Il9Wa_lBCNzU5PEC7h8T-TVVdnfo,12615 +torch/include/ATen/native/quantized/cpu/QnnpackUtils.h,sha256=YXzFQuyxR_yYWT8qkzIiud2_CujvVr7E8OlQgaqlHkE,17723 +torch/include/ATen/native/quantized/cpu/QuantUtils.h,sha256=CilOigJWOnTBhAAORiKeC0jecm8Fv3OTY1uIZkeqn2w,8361 +torch/include/ATen/native/quantized/cpu/QuantizedOps.h,sha256=ISPwi6I0JOi1eMz8gJZhhbGawSt82c1ZfGsMTWVQe3o,7861 +torch/include/ATen/native/quantized/cpu/RuyUtils.h,sha256=GcUcvpOwe56_ZRvuQ40C_uN2DBVufuL1waWi18ajzMY,386 +torch/include/ATen/native/quantized/cpu/XnnpackUtils.h,sha256=IR7eZv9LRndtstDq0lV4QbbVUvztAmeN7TP8a7i1db8,12149 +torch/include/ATen/native/quantized/cpu/conv_serialization.h,sha256=Vol3JmMXfL7mshN9vqU6i5kcDKPrizh7W7AGZfM3gaU,12876 +torch/include/ATen/native/quantized/cpu/fbgemm_utils.h,sha256=edltxV_C99Y9CR9zpY-4YQiZ_wWX4TUa_Ofk-r3eM_E,11912 +torch/include/ATen/native/quantized/cpu/init_qnnpack.h,sha256=ZiH_VsIdp7AG6DNL49ia3_grOjjiQHM3iTKk7TKXuTw,146 +torch/include/ATen/native/quantized/cpu/qembeddingbag.h,sha256=Kk8aCMVwNgPo2bpBTXSsn08KCnOvAtGQck0jN4iOFWo,1020 +torch/include/ATen/native/quantized/cpu/qembeddingbag_prepack.h,sha256=zT7mp_4ONdKsddkhtN_qiln_fKrmtnLYbiSsqeHM6mQ,319 +torch/include/ATen/native/utils/Factory.h,sha256=1b0r5l0wIzeGQKSa2hfMfTbWbPhaZ5VpSkDpD8qR7pE,553 +torch/include/ATen/native/utils/ParamUtils.h,sha256=BQrIXLsOh_dyduINcB9w6KWCsVxl9BalttfHl7PGIUo,1188 +torch/include/ATen/native/utils/ParamsHash.h,sha256=4d7c40z9WplS5EyNfBGU-QTnki9ta4M9QxufxTInsO0,3124 +torch/include/ATen/native/verbose_wrapper.h,sha256=3Xfi-C_0uzhaiTnuCN0KgTg3OAAUlIbK_-q9AglaUuY,193 +torch/include/ATen/native/vol2col.h,sha256=kl_QfjV0WOe1Z56JFeW3kaF8FhUatFMcrRItHBmNXF4,3569 +torch/include/ATen/ops/_adaptive_avg_pool2d.h,sha256=s6nxwiGo7vHoiEGzSWzvileqhNQrc3ElGl1UB11MEbQ,4159 +torch/include/ATen/ops/_adaptive_avg_pool2d_backward.h,sha256=GVm4j0KX4IOa-J40cyH_NBNHbMDTfcjctwtr32jspUw,1440 +torch/include/ATen/ops/_adaptive_avg_pool2d_backward_compositeexplicitautograd_dispatch.h,sha256=JeLI_X8mSdsmv7f3ukT7TkBg9Ot4oJLStchOWDwFRb8,977 +torch/include/ATen/ops/_adaptive_avg_pool2d_backward_cpu_dispatch.h,sha256=Vvz5ASAMR98dEswKinTmRtFnS6jb9mEirjmGlx_2528,775 +torch/include/ATen/ops/_adaptive_avg_pool2d_backward_cuda_dispatch.h,sha256=FjbZJMJ-hJc-fYJy7mrq-HOHArmXUpDAr1i1_PhL20g,777 +torch/include/ATen/ops/_adaptive_avg_pool2d_backward_native.h,sha256=mfpoNY70HF2l7wwxT73jSMBA0jCHAQBVwKtRruAXfTE,791 +torch/include/ATen/ops/_adaptive_avg_pool2d_backward_ops.h,sha256=ad5quQ18gYRF58Fwur4_jddUamA3I_pbKRyasKyjq2U,1936 +torch/include/ATen/ops/_adaptive_avg_pool2d_compositeexplicitautograd_dispatch.h,sha256=eUhdfYXL5lFZYX_w3-c-4VKL1gHZ-yc-JHAZM9Xthzs,1218 +torch/include/ATen/ops/_adaptive_avg_pool2d_cpu_dispatch.h,sha256=9KAZBHTLzD3xgNFL1r8ZfVhMMjBZCv5ctC-IjkFTfeQ,871 +torch/include/ATen/ops/_adaptive_avg_pool2d_cuda_dispatch.h,sha256=_XzGCsZJJxQSDFt8obcbdzm0gyuk6VGQaecK_ot9YnI,873 +torch/include/ATen/ops/_adaptive_avg_pool2d_native.h,sha256=a7ud067uMIMzfHqo2OYeWigTSxjPXfVRPrTD7-8bJDI,987 +torch/include/ATen/ops/_adaptive_avg_pool2d_ops.h,sha256=RUKN6V-QyRlAW5oRgIgyUfisXtPDmQJArB6hkJ9QEyQ,1894 +torch/include/ATen/ops/_adaptive_avg_pool3d.h,sha256=5RyPmgXvRVJZOyvVg1LP7LX_ZbFSNizZ9H9AJeeIs-o,4159 +torch/include/ATen/ops/_adaptive_avg_pool3d_backward.h,sha256=J4mvJA-GLekDl41jaEFJSn6WXX4gjaiscLtU8TU5O7o,1440 +torch/include/ATen/ops/_adaptive_avg_pool3d_backward_compositeexplicitautograd_dispatch.h,sha256=IPSxlBRDTEOj8EpFcfVMmFsk8RrxyFVkrBVm__03nN0,977 +torch/include/ATen/ops/_adaptive_avg_pool3d_backward_cpu_dispatch.h,sha256=Cd1XxUGabRmbgumz9a0W5PkkLpTxAf22SNE9OU_k5qQ,775 +torch/include/ATen/ops/_adaptive_avg_pool3d_backward_cuda_dispatch.h,sha256=_oTYBZFPBPelRpzzJsqL-Z0TiztPCJ6YhdYyb1aT5BM,777 +torch/include/ATen/ops/_adaptive_avg_pool3d_backward_native.h,sha256=VcRMn71GQiJWON1a_XZ6_ekaYBU1mYGLjg8Yvfl9oaQ,791 +torch/include/ATen/ops/_adaptive_avg_pool3d_backward_ops.h,sha256=fyHMa7Yckm4MeRbICScK_wXXGkTOAFfID26A4JHRr1I,1936 +torch/include/ATen/ops/_adaptive_avg_pool3d_compositeexplicitautograd_dispatch.h,sha256=JAWXab9CmSmvmBr1txqxwK1Fvvm5kR2Vc86geT8EX-4,1218 +torch/include/ATen/ops/_adaptive_avg_pool3d_cpu_dispatch.h,sha256=8ib8k2gXCFUBcJHjwLLarNCGlU9PcT_1B3_QO2VRTP4,871 +torch/include/ATen/ops/_adaptive_avg_pool3d_cuda_dispatch.h,sha256=rMC9fg0uRRKjIdsom01TIQdxDBw5r9wJR6rBKbFxZc8,873 +torch/include/ATen/ops/_adaptive_avg_pool3d_native.h,sha256=nTxlmMgiGUEoGw4_74zgibv92JzkwIAQfnTwE6kHF4c,876 +torch/include/ATen/ops/_adaptive_avg_pool3d_ops.h,sha256=7ZABsc4XOgH6fkjP6i847WqWWICwxlxE-Y3NA9-6xzE,1894 +torch/include/ATen/ops/_add_batch_dim.h,sha256=wDyKRCyKdvda9MVZBUp472LicvaT0xEhoXPUEy3ZXxg,735 +torch/include/ATen/ops/_add_batch_dim_compositeimplicitautograd_dispatch.h,sha256=XMCD0HQdcEVa1BVZ1-AQu9xbFTK2PEvtCl6qIHalbYk,806 +torch/include/ATen/ops/_add_batch_dim_native.h,sha256=CE7xIX3FBM8TtKlqO9utGIMrk0rBg-ixVyWZbUORFoA,529 +torch/include/ATen/ops/_add_batch_dim_ops.h,sha256=p_sdmLdmQaXYFTN0C3mlmdycAWbR_NDZGkt1d0YRAs4,1103 +torch/include/ATen/ops/_add_relu.h,sha256=Mn5Pq4gDTiCHzyGRw7m54sgBbXx7qymbg5WSJ8xIwis,2769 +torch/include/ATen/ops/_add_relu_compositeexplicitautograd_dispatch.h,sha256=vgIkXljW9LyU1ufXH1fSQOV8fTw6VeXeNA9Tfs_r7ow,979 +torch/include/ATen/ops/_add_relu_cpu_dispatch.h,sha256=W7fQahaeCmK8IjeYW7e3JcQSgfxAIor1d5wiaOO_wJM,1373 +torch/include/ATen/ops/_add_relu_meta_dispatch.h,sha256=nX5KL5CMnNFXOV7b2Cl5UHXWVX6cqIX5DatN3RjYhDg,884 +torch/include/ATen/ops/_add_relu_native.h,sha256=RJWKqdcEPTBZN6HWeEB5DxRjr8rQAUPuXpaiEQnhfCI,1139 +torch/include/ATen/ops/_add_relu_ops.h,sha256=EuxzjbMFeWSRGNgTHjzaLVdWcW_1kyqGbTYcwrqiqNA,5015 +torch/include/ATen/ops/_addmm_activation.h,sha256=ASPni3PPVj1JDycRJNnKS_yH6beZQIUpEzZFfNhpdFY,1835 +torch/include/ATen/ops/_addmm_activation_compositeexplicitautogradnonfunctional_dispatch.h,sha256=sIopst68KEwCsexgyCnhaKQcVewRkBhvuAambw3VR0w,927 +torch/include/ATen/ops/_addmm_activation_cpu_dispatch.h,sha256=QzxYnkcvNJS_ASTa8XGoe8NNNp8LX8WuaVqsQmbJ5OA,1278 +torch/include/ATen/ops/_addmm_activation_cuda_dispatch.h,sha256=0fer6SRslwjTIbqsNymKPeu-C6vbSZeq3gAoU04eOhs,1280 +torch/include/ATen/ops/_addmm_activation_meta.h,sha256=ya5-Gmqb9NCHk6mkJ-GqQmubhGprgYk1Dfnd3VJqHpQ,713 +torch/include/ATen/ops/_addmm_activation_meta_dispatch.h,sha256=D8lzWemIpHzxHTZptByJ2uFoKVhL3m_pRRPA8XJCKRY,1280 +torch/include/ATen/ops/_addmm_activation_native.h,sha256=3MAceoZbwgp_gsOQPbnmUi4uKaXPdhIGjUyGQMkpZsE,1042 +torch/include/ATen/ops/_addmm_activation_ops.h,sha256=TcM_q885IjeVNdRsmnBaAJ20MFxp1dNYCJh6w5DErgg,2451 +torch/include/ATen/ops/_aminmax.h,sha256=rcYg1SsaIKkGPcrGibO60bJgX5PdCedBeMrixPagHbM,2238 +torch/include/ATen/ops/_aminmax_compositeexplicitautograd_dispatch.h,sha256=MteznG0qyXebTbb2FKJ_USrhV4HcPaOQEbmk2gA_JP0,1280 +torch/include/ATen/ops/_aminmax_cpu_dispatch.h,sha256=1vCSuD3wnn9AjWbSFZAn8s6TiC3_TfzSd3KWlMZZi8s,861 +torch/include/ATen/ops/_aminmax_cuda_dispatch.h,sha256=-_PjNMZ7ZQw1P1Oiohpll7EcvCoDOmv_lgHrgApoYS0,863 +torch/include/ATen/ops/_aminmax_native.h,sha256=GQLS-qsU3KZ9sOAZY96uFfwPVJYr_TRLP36aZIPq8-o,917 +torch/include/ATen/ops/_aminmax_ops.h,sha256=9tUzmvEMe7gTc1eCbO633P0XLYS2v1BUcqMZ1DWDtLY,3493 +torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale.h,sha256=OQRCpF1nYe4my40DDkOuFMX59U0qDmoScO2ryktAmMc,2111 +torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_compositeexplicitautograd_dispatch.h,sha256=fBpAv_Tw20SWKnINqW-Uyiql5FWE9WN6StvSpfoHq7w,1210 +torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_cuda_dispatch.h,sha256=dQAHphuahsSeTuUWzDFme3yWmGF0je5Iotgc0yuNoH4,802 +torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_native.h,sha256=W70nVVCbR0h4JS2Y69NUo2P1Fu042AN0ptEwLpseJsQ,914 +torch/include/ATen/ops/_amp_foreach_non_finite_check_and_unscale_ops.h,sha256=SieQ8H5mvFZWJzTYf-RuXaNNkiHJmVsZCwSeaXTkmIg,3084 +torch/include/ATen/ops/_amp_update_scale.h,sha256=ZXl31_fF7dxeSMjk_TxPnZwu9fknDx4RehIQwWEAZAA,2752 +torch/include/ATen/ops/_amp_update_scale_compositeexplicitautograd_dispatch.h,sha256=lPi7X-wyRB-Xx3Wq0Xy9PkMM-IvaBzZ0YhZ0ToS1Gg4,1408 +torch/include/ATen/ops/_amp_update_scale_cuda_dispatch.h,sha256=ImG8gSNPCZJcoD117AkuE92U5pHrCqwPRQ-tusYsIak,871 +torch/include/ATen/ops/_amp_update_scale_meta_dispatch.h,sha256=pN2BeNTQkOi3g5pIF9LviKd7yyso4fAP9gSjwDh7otU,871 +torch/include/ATen/ops/_amp_update_scale_native.h,sha256=5Jz1Kjnams8CC8XCXo9wfwSdkhPpgDxYwgIrtD25Y24,1108 +torch/include/ATen/ops/_amp_update_scale_ops.h,sha256=aTeBjk7s__sUbqAW7wY1ZkrSn0nUnofDZLTMbnFbgqo,3725 +torch/include/ATen/ops/_assert_async.h,sha256=_DtARLjocmYyX3N00SOgWKySt5YadqqRZFM_VOV1kKc,854 +torch/include/ATen/ops/_assert_async_cpu_dispatch.h,sha256=XuHdadMdTJdaSXspDUHs6UG4U0ZkgcZCfIPP3i9THE8,805 +torch/include/ATen/ops/_assert_async_cuda_dispatch.h,sha256=_ajTb4byimj7KyPeWTxtpt0B9AuY6AyTAPOQjXO7DX4,807 +torch/include/ATen/ops/_assert_async_native.h,sha256=GPa3zfe4CdLGDOz3z19_vqrimv11HHdMh5_ct2kWQBs,737 +torch/include/ATen/ops/_assert_async_ops.h,sha256=t4x4GiDz9B2m_sFuCGOH-CCsQPR6GBL2si8_a-VzLFg,1601 +torch/include/ATen/ops/_assert_tensor_metadata.h,sha256=s_ljDZrYoLN0pk6z5XULl87QFyPEYesrhqDu6npXtNI,2406 +torch/include/ATen/ops/_assert_tensor_metadata_compositeimplicitautograd_dispatch.h,sha256=cSx2V3WaZhEoSnMeB3rqHvsZj41NdNH8ch-j5hbI78E,1123 +torch/include/ATen/ops/_assert_tensor_metadata_native.h,sha256=Uolxh10IsqSajrwDHYu4AXG3K7VHr4YNKprdBThYR_Y,633 +torch/include/ATen/ops/_assert_tensor_metadata_ops.h,sha256=YHuFnYnD13PBmF1vmwgyeBhouYtpL3u2HurBU4PPN8Q,1352 +torch/include/ATen/ops/_autocast_to_full_precision.h,sha256=mP4z8uge9gaBko3sE_VvYmVSHvTAxvD2LgvxFNr_VfE,512 +torch/include/ATen/ops/_autocast_to_full_precision_compositeimplicitautograd_dispatch.h,sha256=6Ut2E5QD-UjXFmLachijmjXp_G3jtm7CF0ULFwnzP48,822 +torch/include/ATen/ops/_autocast_to_full_precision_native.h,sha256=FAWQsJRTWa-XLhVwkfMYjrFjDlR8NFkFZPMrY4FNIuI,545 +torch/include/ATen/ops/_autocast_to_full_precision_ops.h,sha256=6lK6PUbvsPjNvQaMP6KP6PN363ltMYsRBR2MR59fgc8,1159 +torch/include/ATen/ops/_autocast_to_reduced_precision.h,sha256=i9BjJa3SqQvnqDKVZFV3FbtqgKZgD7dzqGtd99ftTtk,515 +torch/include/ATen/ops/_autocast_to_reduced_precision_compositeimplicitautograd_dispatch.h,sha256=1aZkN7eFNg3n7_nQMXGuvb0cGVxGSh40KJl4Ge5Aeeo,878 +torch/include/ATen/ops/_autocast_to_reduced_precision_native.h,sha256=fqK0ORMr0_pMjdYxm_3yzV5XvuIkPcmMXszVjPMPN4o,601 +torch/include/ATen/ops/_autocast_to_reduced_precision_ops.h,sha256=sRRM_36W4PU_nnrY8F4YOlswli-WaXn7PzUHQUnOCow,1351 +torch/include/ATen/ops/_backward.h,sha256=BA3Ln7HJsdhMg4AN0Fc2ba07wLvFC6l5leJovbSR8jY,494 +torch/include/ATen/ops/_backward_compositeimplicitautograd_dispatch.h,sha256=oNHnjLF-n-PeJhpYalcJXUPuAihGmWoZY2gQPJSiPj0,903 +torch/include/ATen/ops/_backward_native.h,sha256=Fk3LXY6bQ1FyIPUr0Shte9nDUid890ii6Fpz7rX4phI,626 +torch/include/ATen/ops/_backward_ops.h,sha256=90_cXFmN76zS6itZLLURxIY5XNv-HyVIffkhgAdZGkU,1362 +torch/include/ATen/ops/_batch_norm_impl_index.h,sha256=zhfmf_hl4lrNCQxH01aKEpmzpkNwuzre8HCQ5I5bFa4,1235 +torch/include/ATen/ops/_batch_norm_impl_index_backward.h,sha256=RvOZgblDGrfaj1uVLWp0MqkaNCrh1Eo23HPYQimojMQ,1501 +torch/include/ATen/ops/_batch_norm_impl_index_backward_compositeimplicitautograd_dispatch.h,sha256=odH_bl7TSyM6WQyBygersQDwbiUVfvpsVVyC9topaiQ,1206 +torch/include/ATen/ops/_batch_norm_impl_index_backward_native.h,sha256=KQCFYdihuNqVMYeGEkK6lb0ZA3wzJycLBcf81WS82ek,929 +torch/include/ATen/ops/_batch_norm_impl_index_backward_ops.h,sha256=UZTYR78qT7AoRp9ksjlX65FLcGaHl_YDE26lokGL880,2399 +torch/include/ATen/ops/_batch_norm_impl_index_compositeimplicitautograd_dispatch.h,sha256=9RvGkGJSx4NMPwxncNcr-sj3nvZVz5HPtLPoWUCvp88,1077 +torch/include/ATen/ops/_batch_norm_impl_index_native.h,sha256=dGpciaPg61048t5ZgQliLOYTTAHttgTuM5HGb-FqXRg,800 +torch/include/ATen/ops/_batch_norm_impl_index_ops.h,sha256=k7xBSq5Q7zrgjkjv-BN0yLFfrIGOvCvaRZ_Qng5pbEk,1999 +torch/include/ATen/ops/_cast_Byte.h,sha256=RHiXVHgdjrm4g31qxx0WUOlY51NmfZKnonGZsZrvDq8,705 +torch/include/ATen/ops/_cast_Byte_compositeimplicitautograd_dispatch.h,sha256=A8Bo7FtgsCwo9Lw_qpxlX_dskXN6CkAF7Dm1HrIyBLc,793 +torch/include/ATen/ops/_cast_Byte_native.h,sha256=voqN4qoUpKZz1BW-45WtnBvYTNA8fNTFfnVGNjYhoXM,516 +torch/include/ATen/ops/_cast_Byte_ops.h,sha256=a6JBqArF14AQBG0cldEufzAoWFS363hJNkSlA-_Ny4M,1048 +torch/include/ATen/ops/_cast_Char.h,sha256=DdYVljWjBXStij-tgj-ra9MSBCWdZ3hOwFAEqrJb98c,705 +torch/include/ATen/ops/_cast_Char_compositeimplicitautograd_dispatch.h,sha256=l8_rLTLnKmPUDcFblxL9AqD1wFMYjNYOHTZG0r1FFxI,793 +torch/include/ATen/ops/_cast_Char_native.h,sha256=W657V9UUsBFnx5jOx_U5RBzBxzeQhyBf_Qm8u9cUeNY,516 +torch/include/ATen/ops/_cast_Char_ops.h,sha256=U3lx_gTayPjDjn3u4wS-lFStkOB8N_Dasbkw4mGcELE,1048 +torch/include/ATen/ops/_cast_Double.h,sha256=_bWFU3tM-9t1rX1vnRJDSOegs9Rh5knn458dnPUa5EI,713 +torch/include/ATen/ops/_cast_Double_compositeimplicitautograd_dispatch.h,sha256=NgPrwVgyMIcenixxf_Tt5WPCyciEscJzaTv0qYHDeHw,795 +torch/include/ATen/ops/_cast_Double_native.h,sha256=7syTJSNMmibT-NNxjocfveIq6TEpXTJkBt9Z2HifeuQ,518 +torch/include/ATen/ops/_cast_Double_ops.h,sha256=eBLuq5JKaAl1DRIXU7_K4XBBydk_87j0kWo20jrLsEg,1054 +torch/include/ATen/ops/_cast_Float.h,sha256=XNmwaCb5NB4P2mNkDz7PPw6EkOkpFpx3PkzIxfTRbq4,709 +torch/include/ATen/ops/_cast_Float_compositeimplicitautograd_dispatch.h,sha256=sGLB4Am5BKLcmkexHc-9CpK16SvW7KGbiapIiGBbS5Y,794 +torch/include/ATen/ops/_cast_Float_native.h,sha256=9ketoM1FCbHlgk_MdeNMGHcNeuCQtF6YdMw_IqB36Lo,517 +torch/include/ATen/ops/_cast_Float_ops.h,sha256=7pfRgI8PiwYAgUDMaKQyi-1KbgC9uuIboa4Yets1Uyk,1051 +torch/include/ATen/ops/_cast_Half.h,sha256=VjclSrE6fyXXWE0HSmwPozzeidi3qfOX2UKRzkcCX9A,705 +torch/include/ATen/ops/_cast_Half_compositeimplicitautograd_dispatch.h,sha256=tRyePzWVLwvGxZe3nLl4byZ4CWYCsXBzTwdUWZAvcXQ,793 +torch/include/ATen/ops/_cast_Half_native.h,sha256=guRyuUJcVZhTpozZFUgz5_z0_ucMaZBWQ-uBAouzGPY,516 +torch/include/ATen/ops/_cast_Half_ops.h,sha256=e6ditpYVySgsLiasjel7fh7T9h20Rvk0QJPlIQM2Iy0,1048 +torch/include/ATen/ops/_cast_Int.h,sha256=O6UWPaFOfpht40o_KV3KrDbIu-lyfJdj3LdeQagqAt4,701 +torch/include/ATen/ops/_cast_Int_compositeimplicitautograd_dispatch.h,sha256=-59XKkROrFchPfiecd31MhM8OEk7m_HBHyk1sA9CKhI,792 +torch/include/ATen/ops/_cast_Int_native.h,sha256=gsIb3FjUfZ3iUwLn8m1F0N5I7AqlH5_1Z0jUjyFU0G8,515 +torch/include/ATen/ops/_cast_Int_ops.h,sha256=MNAtzTZvi_maVvnOh6fFMkng1P5e-H7etNc_KwmgJQ0,1045 +torch/include/ATen/ops/_cast_Long.h,sha256=ETtont1-B60IrCCdByTOMZjisLnNUsXZxSSPcVbpibY,705 +torch/include/ATen/ops/_cast_Long_compositeimplicitautograd_dispatch.h,sha256=xUpMfaOaTlrop_EaFPhi3EITulMbMEMDSqK0gHx8SGg,793 +torch/include/ATen/ops/_cast_Long_native.h,sha256=dSP293RtoHW-c6cH9VRozRr81zwqL24DBi9wY_opUuw,516 +torch/include/ATen/ops/_cast_Long_ops.h,sha256=mOBIfXNXs7xd9ynSPtHTkaZtniZl-e0yjauswijUu4M,1048 +torch/include/ATen/ops/_cast_Short.h,sha256=6ihrKHrHHf81q_nhEzG_q0C4salpGW1W9NyIdVAc7ik,709 +torch/include/ATen/ops/_cast_Short_compositeimplicitautograd_dispatch.h,sha256=iMXfYViZJ1TyUQOfeI_XKhiGzo7yj0y960N7kbk7nVU,794 +torch/include/ATen/ops/_cast_Short_native.h,sha256=V7x-M7Whrt6-cx85tuwWXcxm9TZ1LtKS3JSUCyrhy1I,517 +torch/include/ATen/ops/_cast_Short_ops.h,sha256=UK99kO0FYtcD3Ak0KedXr6qvHtJIF-0DbvgD24B5HDM,1051 +torch/include/ATen/ops/_cdist_backward.h,sha256=dyrNhb2ExWN7HO8-DGlboeiupezmNY1JpsN3k8nbY1g,1540 +torch/include/ATen/ops/_cdist_backward_compositeexplicitautograd_dispatch.h,sha256=9A90H9iXtxiHJ1M8nIqWZXlljoWGMCOZCNZrBG18SMA,1049 +torch/include/ATen/ops/_cdist_backward_cpu_dispatch.h,sha256=Ni3BgfKM5kOEZT8Plxe-QW3vZd7ktBbGOkkycjUdV38,811 +torch/include/ATen/ops/_cdist_backward_cuda_dispatch.h,sha256=Ux_rbWPpQCYWfSANwgWuJAsbc7c0iG16lOOiUKHGKZA,813 +torch/include/ATen/ops/_cdist_backward_native.h,sha256=k6FxqsGuLDKs1Oqt9iTmjEAZM3v_pj7MT4XpG_buLSY,747 +torch/include/ATen/ops/_cdist_backward_ops.h,sha256=MmbFpFgX4yGy6PSv8QmJfx9Jc3axE7_Yte8C1xMLMOk,2198 +torch/include/ATen/ops/_cdist_forward.h,sha256=m4uE_gWYSVNX4prVjffAxL0SbiUU_sLoYaFnYGAJZgs,1467 +torch/include/ATen/ops/_cdist_forward_compositeexplicitautograd_dispatch.h,sha256=vQnKtazfxrL1u1w-bi8FyK5eldWK2oOWlBe8pI96taE,1019 +torch/include/ATen/ops/_cdist_forward_cpu_dispatch.h,sha256=1TXpzN4sfM6-L0qt0FB3mZGPis381Qtel274uGPROBU,796 +torch/include/ATen/ops/_cdist_forward_cuda_dispatch.h,sha256=JcTr9_Bw9X_h5H4WV56dAd4L6Yt4SCkFo0_x_Vjy_To,798 +torch/include/ATen/ops/_cdist_forward_native.h,sha256=SDkcs40SRLLoXrS_9zvYsad9gqKI-DU8TIIrLNcTbVw,717 +torch/include/ATen/ops/_cdist_forward_ops.h,sha256=KiEpF5UwnBUIrXZz3NIJX3pW_ciJCisuRkreplwTClo,2088 +torch/include/ATen/ops/_cholesky_solve_helper.h,sha256=fQOA0LYSKE3YF-wi06I608baXVMar4Uoc4cItyKKDzo,1373 +torch/include/ATen/ops/_cholesky_solve_helper_compositeexplicitautograd_dispatch.h,sha256=R9dhWqSsEkt1nkOVqMzBvQnKT45ljx72pFJzHv1FnSM,967 +torch/include/ATen/ops/_cholesky_solve_helper_cpu_dispatch.h,sha256=43oV4ihJqQtfaq8sY6TAGC6FsRU4XeSqw365JopW-Zw,770 +torch/include/ATen/ops/_cholesky_solve_helper_cuda_dispatch.h,sha256=JXYLAPjiIVfr4JECqAlolanWHcig2qcg5ntyYwKptK8,772 +torch/include/ATen/ops/_cholesky_solve_helper_native.h,sha256=ElLKydUMyUzygJcKurOhP73pqd2_mXHRALQ6WyCNlNI,778 +torch/include/ATen/ops/_cholesky_solve_helper_ops.h,sha256=ezBXam7CZu44XaAOvgFJLbZEdEoQa8Hhkp_6hiO1tv4,1918 +torch/include/ATen/ops/_choose_qparams_per_tensor.h,sha256=7G-uCZjSpJOi3kBSgTwj-x6Hr3E6y_RKmhX1NXet2wE,793 +torch/include/ATen/ops/_choose_qparams_per_tensor_compositeimplicitautograd_dispatch.h,sha256=esZEMdKWR5RkSQE4sCaDUMhBYvMLOE-DoAKjXFPFahQ,827 +torch/include/ATen/ops/_choose_qparams_per_tensor_native.h,sha256=_ZCK0RupMvLpBiEm0g9PxZnZPG-JOpFZ44EsfoGpiSA,550 +torch/include/ATen/ops/_choose_qparams_per_tensor_ops.h,sha256=ZzywxGvh5kzvfsqi0e-Fi6d2apa7UbrXBjApqZSCbxk,1156 +torch/include/ATen/ops/_coalesce.h,sha256=fV1SQK18gGRghO3X-9UEUDw_uOS2q1mMVCnoSqlftoc,1045 +torch/include/ATen/ops/_coalesce_compositeexplicitautograd_dispatch.h,sha256=MqZGPzLt05vsPP3G2qlM-v14odHE9p_hFBho2phUCZ4,873 +torch/include/ATen/ops/_coalesce_native.h,sha256=7HbVZhbqQDH05DYLoQpPF4VXzVZC7nqVFOKQJPe1Tao,651 +torch/include/ATen/ops/_coalesce_ops.h,sha256=cfdIl40u0LQtV8MON3XJ63QD3KepG4UAPiMbywxY99U,1608 +torch/include/ATen/ops/_coalesced.h,sha256=iwV6dmaejIXRGYJdHfluUseXXREMvnTWhkmq_0d0QSc,1184 +torch/include/ATen/ops/_coalesced_compositeexplicitautograd_dispatch.h,sha256=y-77fkAkkrFMG6exwRBa3_jveOoWvSuLqF-EVlNUV3g,981 +torch/include/ATen/ops/_coalesced_meta_dispatch.h,sha256=xw8dgdJtozkYpwN_n6Jj-izJmM643tDjj3PV519DGEg,739 +torch/include/ATen/ops/_coalesced_native.h,sha256=3Gi4bQkG8vXzlH1h_9cMS2E2YxOFaK5iwMxtfNOKA2A,683 +torch/include/ATen/ops/_coalesced_ops.h,sha256=wd0q4UG7XGNEeOP9OW-TqAvAZdGVzxJe9mQVoJVHKak,2320 +torch/include/ATen/ops/_compute_linear_combination.h,sha256=aR_V7q6wah4wkWwfuZf1zXSP6NVCMEfgRj64vQtlBC8,1438 +torch/include/ATen/ops/_compute_linear_combination_cpu_dispatch.h,sha256=zMOsx4HlaNySt8Q6S2IztS8H12Jv7GslE7Tj4bYhyfM,1042 +torch/include/ATen/ops/_compute_linear_combination_cuda_dispatch.h,sha256=kL8uPnJ8onlkXzyYf5MpQXZcpkhlfvIyxgtf535Q-8o,1044 +torch/include/ATen/ops/_compute_linear_combination_native.h,sha256=0ds8lR3ZO4OkN7Il4ZQNACsJO09_-CFSbpu9SqTdgd4,675 +torch/include/ATen/ops/_compute_linear_combination_ops.h,sha256=YhGUYRz6dmi1CmXDngg3I7ut3gXfhtpUVKssDXceph8,1936 +torch/include/ATen/ops/_conj.h,sha256=YPGMiopGjcWTemfjIsSvUvhUxnnC4L5IPLh3vdD4gH8,627 +torch/include/ATen/ops/_conj_compositeexplicitautograd_dispatch.h,sha256=jZikQR9eAS7_84oP6v4-NemdI_qXnbJ9UUk-j6frXvU,763 +torch/include/ATen/ops/_conj_copy.h,sha256=qJ956ZJ5QV3llb9q-pMUmjnjI2CuGTf-tKy7Aui9wVQ,1055 +torch/include/ATen/ops/_conj_copy_compositeexplicitautograd_dispatch.h,sha256=ITqhMVVxq5_OuH8sPJRg_OSydjhNu8a25UfNSIGcPdQ,875 +torch/include/ATen/ops/_conj_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=5uOogQG4enxDme07Ey3zH9HFZIHf-Y-1FUGgMDwftZE,794 +torch/include/ATen/ops/_conj_copy_native.h,sha256=EwnZwsTi3HC9fi2lakAaUk_RR4vKFK3tM_Q4CX3EbdM,573 +torch/include/ATen/ops/_conj_copy_ops.h,sha256=NLM0MdkSgQmDnH2Uud11ju9G8GSs30TZBv32eUDIEbA,1614 +torch/include/ATen/ops/_conj_native.h,sha256=B7CX_tD2EYWplkVxlVvIVAkBKFJpEosPANA09X1KRG8,486 +torch/include/ATen/ops/_conj_ops.h,sha256=K6O11K8u8lBbN2hmuW2kTHEhwe2vU5KayHBiBAZIaIc,970 +torch/include/ATen/ops/_conj_physical.h,sha256=vRKiozJWhg0rbME3iF--eJ8bxwSSwsQdJ_BA2jBzK50,1095 +torch/include/ATen/ops/_conj_physical_compositeexplicitautograd_dispatch.h,sha256=36yGLH4a7Kbv2Z2kIKESRc6qNFut53VxqPMBlJ7o75g,945 +torch/include/ATen/ops/_conj_physical_native.h,sha256=wrBhDuoZ1cwY0wRDdo6eionI3SDaiaaJOY80XCrPUp0,653 +torch/include/ATen/ops/_conj_physical_ops.h,sha256=aMesGzfsS8w0ohDy2bbVBgqPxlOm-Cy2F5FTuB6g93Y,1638 +torch/include/ATen/ops/_conv_depthwise2d.h,sha256=w4o-p38TEDY2riy7-Li9-5I_2mWXCnUZTw93wtbmEm0,7414 +torch/include/ATen/ops/_conv_depthwise2d_cuda_dispatch.h,sha256=ILqD50SxSBepwBTq2EFteek88C19aUaUx7jDakLqVgY,2299 +torch/include/ATen/ops/_conv_depthwise2d_native.h,sha256=2884fL6QNvWg2leACK4Sm3I9Pu2vgA8MWy4VxVCULro,949 +torch/include/ATen/ops/_conv_depthwise2d_ops.h,sha256=QVE_nP6qLrTcaj3v0hFzulMJxv_xeq1684PM-0oDUHs,2936 +torch/include/ATen/ops/_convert_indices_from_coo_to_csr.h,sha256=1kVrChziYOnz8a2brFaYE0Tax-gmKKB4Q0p1_pqvwSQ,1527 +torch/include/ATen/ops/_convert_indices_from_coo_to_csr_compositeexplicitautogradnonfunctional_dispatch.h,sha256=md898hSb-4WDOxW9KufkwciemixPF_10Ve2vBN_lNDg,852 +torch/include/ATen/ops/_convert_indices_from_coo_to_csr_cpu_dispatch.h,sha256=hKgFj4X_n6sg3csuJ7jny8QZXY8jGPRi9hpKVLgj5iM,1057 +torch/include/ATen/ops/_convert_indices_from_coo_to_csr_cuda_dispatch.h,sha256=Iao57wZRMkkoGouJIRAUiUytDQPBAml9Y5VdSuIDKI8,1059 +torch/include/ATen/ops/_convert_indices_from_coo_to_csr_meta.h,sha256=GZHW4ho9HRpVedxtYgPEc-YKworYOTfpt91b4lrAUqw,642 +torch/include/ATen/ops/_convert_indices_from_coo_to_csr_meta_dispatch.h,sha256=_1Q8s0nRcH5NL4dJG_8S8P1FP75gC-4dROpiWWjG-ng,1059 +torch/include/ATen/ops/_convert_indices_from_coo_to_csr_native.h,sha256=H1uB-Nm-yIwrpzjGoIu6SrxtxMb7tww8fDAwgOshTME,961 +torch/include/ATen/ops/_convert_indices_from_coo_to_csr_ops.h,sha256=0P-3Oly002KEQJigRq44J4fA5kgrfKEFuolrMxFzBxM,1963 +torch/include/ATen/ops/_convert_indices_from_csr_to_coo.h,sha256=YiLHa9b9Lclqzi40zmrgu38bknO7ok79cJ3hICmi-tU,1863 +torch/include/ATen/ops/_convert_indices_from_csr_to_coo_compositeexplicitautogradnonfunctional_dispatch.h,sha256=TNtGIa4b90GgtIVS5jNxC8qoBHEjjMF5SdzIMrRLyCc,900 +torch/include/ATen/ops/_convert_indices_from_csr_to_coo_cpu_dispatch.h,sha256=yq_-BrDXjpDFMuVIuGZqybAfopDI1gzebezD4i-nKts,1195 +torch/include/ATen/ops/_convert_indices_from_csr_to_coo_cuda_dispatch.h,sha256=d_AHh3CDUBX4Z6xI-rvGIH31nV1MHRLY8qXCIAEIP1I,1197 +torch/include/ATen/ops/_convert_indices_from_csr_to_coo_meta.h,sha256=hrmIbRrvZPTgmd_KG2QCTnvXN5pB5I9X0ZZmwr2OoOU,684 +torch/include/ATen/ops/_convert_indices_from_csr_to_coo_meta_dispatch.h,sha256=DakGc8cs4QhgEXH-DlHrUcnYoLtDKc2e5cQxO0oEKOA,1197 +torch/include/ATen/ops/_convert_indices_from_csr_to_coo_native.h,sha256=QZ9oAazkM5_5kzenv5-OiHfAl1VHRSCbbD9LZ_gDIBY,1045 +torch/include/ATen/ops/_convert_indices_from_csr_to_coo_ops.h,sha256=K8c2_sezzWkMEy8VnLzqERAa0wajc9YyNyxDnB7Rc1w,2245 +torch/include/ATen/ops/_convert_weight_to_int4pack.h,sha256=jyoSCzvdLDz3cRDji2mJU9hqmuOPZGLTbYTaBfd0b5Y,760 +torch/include/ATen/ops/_convert_weight_to_int4pack_cuda_dispatch.h,sha256=GxONpxSGHOf9Rsl9ctw8s-HfbPjCue6den_bnKPRU2s,764 +torch/include/ATen/ops/_convert_weight_to_int4pack_native.h,sha256=yRSVcFR6fpySDWa3-lKznFIXC03a5sB2p2LDZWwhCj4,534 +torch/include/ATen/ops/_convert_weight_to_int4pack_ops.h,sha256=zSZJQcAprZBun480B0k5PttmqrvGSRedWGyAsQ0b8mQ,1098 +torch/include/ATen/ops/_convolution.h,sha256=vI8DHLMWJSu3VTisV72kzmpJeMPpUT4n4b_rZXiWGO8,12974 +torch/include/ATen/ops/_convolution_compositeexplicitautograd_dispatch.h,sha256=AIqNfKwsHYTxPoWn2O9kaAu2FOo8JR8EVdNfV5FjDj8,2935 +torch/include/ATen/ops/_convolution_compositeimplicitautograd_dispatch.h,sha256=KhEu8yZ-luOe3djhd7X0OgfD4fZjeGAIHYsTF3m221Y,1381 +torch/include/ATen/ops/_convolution_double_backward.h,sha256=LSgF3pku0VwIc0gMfGtflJA52o39-Do8MRHey7wnRdM,4009 +torch/include/ATen/ops/_convolution_double_backward_compositeimplicitautograd_dispatch.h,sha256=SC4ia7hLSxLqzc9J0Bb1iuviYan82mJFxaq9TX0rkp0,1643 +torch/include/ATen/ops/_convolution_double_backward_native.h,sha256=UFw0mzJlb2a0p0Ju9jZgNYpKF-UC1pdjV2XC_wRTBw0,886 +torch/include/ATen/ops/_convolution_double_backward_ops.h,sha256=-emyeEMPB-jNVxwVxNjubaFzMxLIsgY6geO2WcVXiDM,2348 +torch/include/ATen/ops/_convolution_mode.h,sha256=APj_yKI3UQqdH-MBZ2yiYjTWmicSs8e3XXKsB3g7PEQ,2446 +torch/include/ATen/ops/_convolution_mode_compositeimplicitautograd_dispatch.h,sha256=zfgYx3UXFvcxPwL-A1pZmuRRw-nxl2qYGV5Tc_31NuA,1179 +torch/include/ATen/ops/_convolution_mode_native.h,sha256=h6FhQydwifmtd7cuX2bxgfYdLldotcOxyZvYmdZFkrU,677 +torch/include/ATen/ops/_convolution_mode_ops.h,sha256=L46rsXJ3RoALqbJTon4fHh1V2RD6QpCJkHrt-JxZ398,1566 +torch/include/ATen/ops/_convolution_native.h,sha256=e-ZOnVOXYT5cmPWhWP4s9xiQpb4U5bZPivD9TG07R0s,1490 +torch/include/ATen/ops/_convolution_ops.h,sha256=V3vNBf1eOE9gljt3ZBsQbdUB64KajFtI_4TqjQLqxCY,5131 +torch/include/ATen/ops/_copy_from.h,sha256=2qQhbSJ-QQvt-RKMtMtVQFMknrz9Pmo7ly3FPvhergw,1364 +torch/include/ATen/ops/_copy_from_and_resize.h,sha256=wiEW64yWszIidTOj24DnZRjjWhOfAF9HlMkGWji8J0U,1288 +torch/include/ATen/ops/_copy_from_and_resize_compositeexplicitautograd_dispatch.h,sha256=wdWwmc8ggmZTGrHuXMLqI3KwiChhLh1PXzr7sRHDTFo,945 +torch/include/ATen/ops/_copy_from_and_resize_native.h,sha256=dntgG6QblJUD4qGi6UXERNIqsT6oDbGB8ijClrthVWw,550 +torch/include/ATen/ops/_copy_from_and_resize_ops.h,sha256=QCaPmVcrLGQpSoVT_khxqepmD02r1TgjOYMwxFgPNNA,1840 +torch/include/ATen/ops/_copy_from_compositeexplicitautograd_dispatch.h,sha256=ThwIHqVmopNlQavWr8FdTUNYxFjxbBYElKenPsAuvBY,967 +torch/include/ATen/ops/_copy_from_native.h,sha256=Erg_kVnWLCLDykVAI7wC8SeHwHQIH0E_8VoCnVln8wc,558 +torch/include/ATen/ops/_copy_from_ops.h,sha256=Nz0nuid5S3bDX5xdJFm00Mbjr9XVoO00i4gAchqms3E,1912 +torch/include/ATen/ops/_cslt_compress.h,sha256=Mg4djlg9bHwfWia7kTsTFdYqjsWUyiP_UrmlFyGCFMk,660 +torch/include/ATen/ops/_cslt_compress_cuda_dispatch.h,sha256=do4dKVCbxCekhM_ytJgcp7iQgwV6ARtxvFeZhD7pthg,731 +torch/include/ATen/ops/_cslt_compress_native.h,sha256=SCY0xKJlLaFexNadvRMerD0m1jVOsNpP8jaA5Roq8pc,496 +torch/include/ATen/ops/_cslt_compress_ops.h,sha256=wiUSSkqr8fhjCAnxahyZOfUyLFjaoZpTFR-eslQf650,994 +torch/include/ATen/ops/_cslt_sparse_mm.h,sha256=q5KVNf84StrungOJi9U_eqh_SgqpIi67gIfHMyc_MVE,1046 +torch/include/ATen/ops/_cslt_sparse_mm_cuda_dispatch.h,sha256=nEHcAYmZzSOGpDy9M8AmMQJ8HtjJismXRIM09tzL9uY,937 +torch/include/ATen/ops/_cslt_sparse_mm_native.h,sha256=sLbWO3l4GVlOgrElvGp02BFhz3sD2M-URwEdrgWn5hU,702 +torch/include/ATen/ops/_cslt_sparse_mm_ops.h,sha256=qTl1WxgWQA-WKwJ2QdU1rcUoKlNo839IHZdm2HNpvrU,1603 +torch/include/ATen/ops/_ctc_loss.h,sha256=YhMY9QY4u_VeSQlOB5zhIKV4nl7l8-OK5Q8NLaEFSNk,3915 +torch/include/ATen/ops/_ctc_loss_backward.h,sha256=_NxiThbZASi9eMj2DR1fW4vfB_baICn8TDIlR43q9lQ,3298 +torch/include/ATen/ops/_ctc_loss_backward_compositeexplicitautograd_dispatch.h,sha256=kl_9-LmsGN6WMTNelqwUDYDfGEYvrMuBWLJIw2ffnrs,1347 +torch/include/ATen/ops/_ctc_loss_backward_cpu_dispatch.h,sha256=dPm-AFGOpsPQqGUewFPxT6mjN9uxvL3jpBD3U7yXC8k,1266 +torch/include/ATen/ops/_ctc_loss_backward_cuda_dispatch.h,sha256=nNB1uGt5DbIaevZyoRznT_HvUMGtYP56EB0Sc0t_Eww,1268 +torch/include/ATen/ops/_ctc_loss_backward_native.h,sha256=nTAeiHlMqH1W0eQwN4Z9fIFelqzuj1tMxySW1GWv24k,1657 +torch/include/ATen/ops/_ctc_loss_backward_ops.h,sha256=O2TC6X4kSAgXSrxPk1nCfJ4nlEF8PPGvMqbUXqrmi8c,4485 +torch/include/ATen/ops/_ctc_loss_compositeexplicitautograd_dispatch.h,sha256=Fq1vpNflvoQktKiMH1k2iDk_YEj7Cs0idp_99aHIMKk,1776 +torch/include/ATen/ops/_ctc_loss_cpu_dispatch.h,sha256=mIzleZfbzRhJgZGmpIEzucFVxTTrS7vBl_rUWT2iXbA,1114 +torch/include/ATen/ops/_ctc_loss_cuda_dispatch.h,sha256=ck6S8jzMRKK6u_EiPPf9KqGs6SwfWuxbuiqYBdwTSRA,1116 +torch/include/ATen/ops/_ctc_loss_meta_dispatch.h,sha256=xefcrBu9JD2xrpA4NoU3iKsghd5R_LCAuOadz2QVRUI,889 +torch/include/ATen/ops/_ctc_loss_native.h,sha256=gvQ0UF2jjQZ6pOO7i1vdmTX5YpFmNLOH2XP1TJwiHKs,1870 +torch/include/ATen/ops/_ctc_loss_ops.h,sha256=99_RMcyA6SXTLgsBGdJQg-JGTgdDna9ce9uzYVnXhHs,5103 +torch/include/ATen/ops/_cudnn_ctc_loss.h,sha256=BUv9Nz54-RQSjqE1wNRjMx1mudPnfSjGLm4O5o40hcA,2923 +torch/include/ATen/ops/_cudnn_ctc_loss_compositeexplicitautograd_dispatch.h,sha256=JF0waOMeVxAyo53VBOYnZiuW8ocLlTx_0yb0VBKInbA,1281 +torch/include/ATen/ops/_cudnn_ctc_loss_cuda_dispatch.h,sha256=Gf5sklXww9HrY3XRUTw0Iv6TRQLGFC_FhFdLnNPpl84,1152 +torch/include/ATen/ops/_cudnn_ctc_loss_native.h,sha256=A9Jww5sc4aePuN7dEity-RAV0XYFZopw87GWZ8Pl1L8,1209 +torch/include/ATen/ops/_cudnn_ctc_loss_ops.h,sha256=Ewwxy2_rNqLIqQiU5joW_fZzNMO9blEdmZSrp6lfggY,4057 +torch/include/ATen/ops/_cudnn_init_dropout_state.h,sha256=DwMHRnDxOzqUF4ROLlKlbbcWL1t31WuyM0lnHpPPNFM,2224 +torch/include/ATen/ops/_cudnn_init_dropout_state_compositeexplicitautograd_dispatch.h,sha256=CWO2TOuEgM6H101FHJp_zK2AYqALVb8rZZsgfQR8TKs,955 +torch/include/ATen/ops/_cudnn_init_dropout_state_cuda_dispatch.h,sha256=mLNNd1Fi6lu7L1y4nJajmZrOfex17Nx27oPhHnMQqfA,1028 +torch/include/ATen/ops/_cudnn_init_dropout_state_native.h,sha256=xgbdFNVyIzilqetPQQFnDN4RVRJuqO-FDclvJpgGkDY,802 +torch/include/ATen/ops/_cudnn_init_dropout_state_ops.h,sha256=1-zA_lIHuLGSLuo2N_0aY4cTukPYDEWsfOw5WqrLUTI,2347 +torch/include/ATen/ops/_cudnn_rnn.h,sha256=QPBMlk9I_lq2sBY0uoZl6QcCq9LfsIpMBW7c374geno,13289 +torch/include/ATen/ops/_cudnn_rnn_backward.h,sha256=6wPp5sgY1wX_VlObAutkioWQ7G7tr_57-l8F4us7EaA,16356 +torch/include/ATen/ops/_cudnn_rnn_backward_compositeexplicitautograd_dispatch.h,sha256=0h4_9hMy2PdyleBehSFtlI1vKmWqRU7mlSNSLM7avB8,3642 +torch/include/ATen/ops/_cudnn_rnn_backward_cuda_dispatch.h,sha256=00IY4oKRJ2vt8AvgpzHbdkKm5CF7EWjuQutYNEiWMRY,2105 +torch/include/ATen/ops/_cudnn_rnn_backward_native.h,sha256=VtVNlK1lPO___d9F70ydNe4MI5q1L9WKyUu05xrWYMY,1884 +torch/include/ATen/ops/_cudnn_rnn_backward_ops.h,sha256=svXeLhhkwKfAi-jLzG41MIxRjoaBhltUsM6y3pMOxQg,5944 +torch/include/ATen/ops/_cudnn_rnn_compositeexplicitautograd_dispatch.h,sha256=3aghvtziztXrHqBf_c1p0bbSoXZLwba3dScOo9eW-14,3142 +torch/include/ATen/ops/_cudnn_rnn_cuda_dispatch.h,sha256=i2eiu2xd2bWfjk2FVVqhvw1wWEhfFhaPcOwx2aMhIV8,1665 +torch/include/ATen/ops/_cudnn_rnn_flatten_weight.h,sha256=mAMIceSydHAdREBajpwJ2lQiKupp7PORYuT2Owy0cxs,7602 +torch/include/ATen/ops/_cudnn_rnn_flatten_weight_compositeexplicitautograd_dispatch.h,sha256=BJVzLpteJFddpkcwqbtzzRXZ84oFT0UJcFtR1PVeLes,1770 +torch/include/ATen/ops/_cudnn_rnn_flatten_weight_cuda_dispatch.h,sha256=u_pJP2-G8x-7euEaNl-8FsKjjViffuFU4hfxz6INzDE,1149 +torch/include/ATen/ops/_cudnn_rnn_flatten_weight_native.h,sha256=AbSmPWA2eR9sxLU4IHC9adXucTje00PycyRVpxn67Tg,938 +torch/include/ATen/ops/_cudnn_rnn_flatten_weight_ops.h,sha256=piLnvsvAkss19dXLptgCBP-zpC79Adyi1E8bcNqRYGw,2830 +torch/include/ATen/ops/_cudnn_rnn_native.h,sha256=fPAJiig58cYIBMooVyIfpBz6f-fsNjym8RB6prxKIV8,1539 +torch/include/ATen/ops/_cudnn_rnn_ops.h,sha256=ILk3psljCcxeDyL4OLw_G7Dn4bL7RPwA31exjNtxua0,4881 +torch/include/ATen/ops/_cufft_clear_plan_cache.h,sha256=tJYswNNetPHqwhh45NYxch3ToH24C_2oQoCQ9iDszs0,709 +torch/include/ATen/ops/_cufft_clear_plan_cache_compositeimplicitautograd_dispatch.h,sha256=_zAa6vTMd_tkB4mM8NvpiJxDMeaPhLWa_uUW8YjFjdI,780 +torch/include/ATen/ops/_cufft_clear_plan_cache_native.h,sha256=-EmzFAImvwOv5NPzE98QBGX2TSYeTbqdFK6g4AxxHV8,503 +torch/include/ATen/ops/_cufft_clear_plan_cache_ops.h,sha256=YKfi8SSCV3rmq6IcDJ0Jj2fr4bgQzoyeS0qS21yncrw,1016 +torch/include/ATen/ops/_cufft_get_plan_cache_max_size.h,sha256=cQ-oHzNZyuXwQH_ttGxL1n6vMAhNbGSRNBup59E5mCo,741 +torch/include/ATen/ops/_cufft_get_plan_cache_max_size_compositeimplicitautograd_dispatch.h,sha256=lRuQnwaWw3MyqCJVobNl1rkQAGvo56gpvfXlrC2-eOc,790 +torch/include/ATen/ops/_cufft_get_plan_cache_max_size_native.h,sha256=H3Kp7TlZ8HbWR4CfW-LvNtqfA27QilxKWRNcxiDnK54,513 +torch/include/ATen/ops/_cufft_get_plan_cache_max_size_ops.h,sha256=GUp6B3O3eEa6tYxKlqsL3ZEUzXkzxBk50GQiDvHVgBQ,1047 +torch/include/ATen/ops/_cufft_get_plan_cache_size.h,sha256=IOhWVYkCbx0y2jslu9CPh7qV0ELh4diOgrUkfJU4gUg,725 +torch/include/ATen/ops/_cufft_get_plan_cache_size_compositeimplicitautograd_dispatch.h,sha256=2BTxfDzNqtSojYHHw8B7ccMCU592V4JhR_vjt4kdReQ,786 +torch/include/ATen/ops/_cufft_get_plan_cache_size_native.h,sha256=eJK-GWD2KMPft97wtAmchoYGjvtZGjrEsuWg3K3GEGk,509 +torch/include/ATen/ops/_cufft_get_plan_cache_size_ops.h,sha256=CJewpscUeht6p57VzAzf4CbJYjz6ANr6wPhjhrGcPtg,1035 +torch/include/ATen/ops/_cufft_set_plan_cache_max_size.h,sha256=zWcmpj5mTQlWUIr3DLSDJk2SQIJjV9wCShhLdvaJJX0,779 +torch/include/ATen/ops/_cufft_set_plan_cache_max_size_compositeimplicitautograd_dispatch.h,sha256=DfuJklbzjdJcVOG2ZhX0tCmFNjAy1ysloO0GlJQGO3E,805 +torch/include/ATen/ops/_cufft_set_plan_cache_max_size_native.h,sha256=KPJykSwsLCIDedmdxu_AO5myFdTFfF9x8VyntoydX50,528 +torch/include/ATen/ops/_cufft_set_plan_cache_max_size_ops.h,sha256=7PNnKjWPX2msB8tTvtWcYmKxjED-4724nul0sz84s_w,1096 +torch/include/ATen/ops/_cummax_helper.h,sha256=XhVo6u2wkFL_3qn3WOGLiAudT56vL8dUF3DGvji0YGg,773 +torch/include/ATen/ops/_cummax_helper_cpu_dispatch.h,sha256=prmNk9iXFh9bhJf5CY68Zj8DCMOamkPXTtYMwG-72-s,778 +torch/include/ATen/ops/_cummax_helper_cuda_dispatch.h,sha256=HnvH5-1VDTYq2XZxb043--mDlJhnHHq6Cc2mEdNv3x4,780 +torch/include/ATen/ops/_cummax_helper_native.h,sha256=h4vOOUiQSJxVy0XtXntrJERG37o4X1WVwMqIR0-AzN4,664 +torch/include/ATen/ops/_cummax_helper_ops.h,sha256=6D2L3WyYXhuSo4zCD2yIY6crxFC3nb71azQCZtg1jKQ,1166 +torch/include/ATen/ops/_cummin_helper.h,sha256=bgiDvYRCXuhpGwO0DqATtOf76MZGcYE5d1HCm2UHnak,773 +torch/include/ATen/ops/_cummin_helper_cpu_dispatch.h,sha256=tcfCKkNvNnUVesdZAJKnoXZJzgPG02ycOCT41lgjV_w,778 +torch/include/ATen/ops/_cummin_helper_cuda_dispatch.h,sha256=aBX8KYjRtYg-DAyII4U9UAtlNWve1xRmJADhYs5VV6U,780 +torch/include/ATen/ops/_cummin_helper_native.h,sha256=Rk_DVBUDrepya7CQricXm-NxVH89CUfBuIs09A9QkPQ,664 +torch/include/ATen/ops/_cummin_helper_ops.h,sha256=nsa3GtmHcJIthSOJ7Njf0b4c0YLW45ebGTkDa1mxI0Q,1166 +torch/include/ATen/ops/_debug_has_internal_overlap.h,sha256=GPX0j-ZOGV9-ScaJWekdGtfuaeBgrPB-DstkCEMj9aI,703 +torch/include/ATen/ops/_debug_has_internal_overlap_compositeimplicitautograd_dispatch.h,sha256=sV2dyBa-zqA9LrUeTsAbnaeNUNYiT4-EiVLehG_l-wI,782 +torch/include/ATen/ops/_debug_has_internal_overlap_native.h,sha256=ewhdXYoN0PrOoc7JQdT-UOENqHysNY2p5lVqiOBpSts,505 +torch/include/ATen/ops/_debug_has_internal_overlap_ops.h,sha256=HreuQ0EXOMjbhA0nlJkIr0HKeqFBGIpL2zzYdX_m5dE,1018 +torch/include/ATen/ops/_dimI.h,sha256=44eVO7tso_T27h2f0P1yXW8rMj2aMOKACczlVnQdE5Y,490 +torch/include/ATen/ops/_dimI_native.h,sha256=2sW3FVYRgu-JsEgrCXcoxeTmraGeAIM6ATskzZk-Gt0,495 +torch/include/ATen/ops/_dimI_ops.h,sha256=2jlhrQAoabzLHQVhpmhLfVYisEe3tElfWo0CLsj39fg,952 +torch/include/ATen/ops/_dimV.h,sha256=i9cbS1xqoxZ2lnJOYFtCtA_NvLTBjgRIfK0lNl8S2w8,490 +torch/include/ATen/ops/_dimV_native.h,sha256=GLAmGPp0Aoht5F7RDaRc3slnkInG83-newlUEyuiBgU,494 +torch/include/ATen/ops/_dimV_ops.h,sha256=jA9e_0Je5RHaHERwaGCYQbhPkrDd78e2N4crjIV0cKk,952 +torch/include/ATen/ops/_dim_arange.h,sha256=ezSdTOIDsNhFKKPAy0LXde3EFIGb-6YAGy2MvRG3EXw,672 +torch/include/ATen/ops/_dim_arange_compositeimplicitautograd_dispatch.h,sha256=1Ypjbef56celQqCM8-Zaz3dnCH7w8xwEWxd7d3E-5Xs,782 +torch/include/ATen/ops/_dim_arange_native.h,sha256=PqvWGCUlNVKG1xSCL9l7Zpm9Qc6KSlxUHhM-nc2j74A,505 +torch/include/ATen/ops/_dim_arange_ops.h,sha256=kK6Jqw-bD8MTP_g7jS-HEDR5zl_kX2FalXx2rTgKq2g,1026 +torch/include/ATen/ops/_dirichlet_grad.h,sha256=tKqu5Vak-nAlXFaDXOP53vxVF0S7YGScNTWoKTsgZaY,1360 +torch/include/ATen/ops/_dirichlet_grad_compositeexplicitautograd_dispatch.h,sha256=CJ2r5c7rwdF-oFbGBds_bkpj6ckaPTexp-q9iJcUeqg,983 +torch/include/ATen/ops/_dirichlet_grad_cpu_dispatch.h,sha256=2f4DEVNY5upltnWRxuG0UJ4qXW28myAnIerYbWhc6UY,778 +torch/include/ATen/ops/_dirichlet_grad_cuda_dispatch.h,sha256=BrBAlWqCoBf1imK-MlVkXdXVRWWDOBV9JzC8VDuKpko,780 +torch/include/ATen/ops/_dirichlet_grad_native.h,sha256=Onop_NSzEud3SwQLAQYLWSNywtWabo6ZlwlykvDg6qM,802 +torch/include/ATen/ops/_dirichlet_grad_ops.h,sha256=YJrC3s14SxTZ1ASD08xyvLZnK6kUuwfVvV1Ea6hrw7g,1970 +torch/include/ATen/ops/_efficient_attention_backward.h,sha256=DROklj8vLDVtGGgHdVGRZxgQTIMNSns_ZSb7c4igiTg,5320 +torch/include/ATen/ops/_efficient_attention_backward_cuda_dispatch.h,sha256=APYGFDzomf1H4twJ8xAlbqHD1zMY8vNgIH0Hwk7MVTI,2019 +torch/include/ATen/ops/_efficient_attention_backward_native.h,sha256=IreL-tJfy2z4eW7bXBE5PivZv0BBAsRLDSiFnv6JVvI,1101 +torch/include/ATen/ops/_efficient_attention_backward_ops.h,sha256=NPYlb80v4Yg6EHxllpXc5SzP4mb0S8T_2D91xQq4dlg,2925 +torch/include/ATen/ops/_efficient_attention_forward.h,sha256=0tlxmz0rZ6xgW9SAZQBIHr0Qs__A9XhGPdLD8MWDFz0,1742 +torch/include/ATen/ops/_efficient_attention_forward_cuda_dispatch.h,sha256=DLxOf1h6JNm2QrFE7zp8gIdRb-I4HrpuLz9fNqiVMk8,1257 +torch/include/ATen/ops/_efficient_attention_forward_native.h,sha256=Hc8c2uvHaw19d2BmhgsXWXTa8u-77uCXFcsQ5wIezqw,1022 +torch/include/ATen/ops/_efficient_attention_forward_ops.h,sha256=eLOmZOpTCFbOCK69FDEEuB3av3FrCvYBcl6ryqF4BqQ,2737 +torch/include/ATen/ops/_efficientzerotensor.h,sha256=oMITPGMdYEB7mPIKO2U0GWqEdG6D-aeFy50hcCHLCV8,6016 +torch/include/ATen/ops/_efficientzerotensor_compositeexplicitautograd_dispatch.h,sha256=IUaSge0k6HkAyRavA8GukdP5Lewhrtum9tbYAMlImKs,1090 +torch/include/ATen/ops/_efficientzerotensor_cpu_dispatch.h,sha256=2ELzCQnBpLYafCKUChY1xtJM8jNIur8Rq3Wai40ZwcQ,1282 +torch/include/ATen/ops/_efficientzerotensor_cuda_dispatch.h,sha256=PPeu_JffM9od-LmvYLcaZZC9eTyEHOyFCRHCHbh3r_Y,1284 +torch/include/ATen/ops/_efficientzerotensor_meta_dispatch.h,sha256=qjATBRXVsTZn-Z6HaLIj0XdRdWIH3EMzf3EeO_LmPXM,1284 +torch/include/ATen/ops/_efficientzerotensor_native.h,sha256=F7ZGMiE5nK4cSJ8Zwqj1dtEL4mHc9bI8NdejalRTcL0,1185 +torch/include/ATen/ops/_efficientzerotensor_ops.h,sha256=ITG47kJyKtS7AvHARRjcsL26CK2TLOh8VMo0Nqo0SNA,2156 +torch/include/ATen/ops/_embedding_bag.h,sha256=L8CHKWH1uME273_s-CoX-k5gSi9EaxCNx0HAQJ1sjnY,3160 +torch/include/ATen/ops/_embedding_bag_backward.h,sha256=G6xXi9xF5wh40eds_Hs_XsPILzugxmPQB5xtVAz9Gfw,3540 +torch/include/ATen/ops/_embedding_bag_backward_compositeimplicitautograd_dispatch.h,sha256=eWlhXUVAoketZa5iEd3qw_7Pg6YRRhl9LKSEG1Hc3iU,1469 +torch/include/ATen/ops/_embedding_bag_backward_native.h,sha256=QewE9aWhuY7FH7q5pyBRGUVSqrY5YYirGIpXQKeRYws,818 +torch/include/ATen/ops/_embedding_bag_backward_ops.h,sha256=CM1MAxlSWI7ZEfSjyLTD1Ca033e9zkf068qhFC5ThXE,2012 +torch/include/ATen/ops/_embedding_bag_compositeexplicitautograd_dispatch.h,sha256=nxikWP_rFGcYAfBrA9xYlRiVpu2mMkM16YdXSqongrQ,1553 +torch/include/ATen/ops/_embedding_bag_cpu_dispatch.h,sha256=KUbE_jcpqH_RkF3VpldzTapA52f8962VdZD-jYdM-ng,1012 +torch/include/ATen/ops/_embedding_bag_cuda_dispatch.h,sha256=U0d00F6rAdW07d6GawU2JbzF1ikHQ91mCSDyw41umLo,1014 +torch/include/ATen/ops/_embedding_bag_dense_backward.h,sha256=z_6wWjSshmQe8i4zp26KRYuXDpiv8H8kIEQ4sMmXnD4,9286 +torch/include/ATen/ops/_embedding_bag_dense_backward_compositeexplicitautograd_dispatch.h,sha256=yQ1Wjm3PcEfbLQVqHtXSbRK0uw-IZhiXRZGb7e1ywag,2180 +torch/include/ATen/ops/_embedding_bag_dense_backward_cpu_dispatch.h,sha256=yuH2yH8KOKA7Qps-OIauTjZ93cYwqzjt64bwUt-Ls0k,1355 +torch/include/ATen/ops/_embedding_bag_dense_backward_cuda_dispatch.h,sha256=7ISeGBbEJx0qvbwp-GOdTwVlWdCyre7_Qq4Xewe8hU8,1357 +torch/include/ATen/ops/_embedding_bag_dense_backward_native.h,sha256=ca5h6VCnOBHteHJACVIk0l-PsjxxZXhsP6wit_pxhjk,1491 +torch/include/ATen/ops/_embedding_bag_dense_backward_ops.h,sha256=4wzYo2-IuVMwBZTHhgfzngMXc55v_QmHhPk-V-352Fo,3442 +torch/include/ATen/ops/_embedding_bag_forward_only.h,sha256=u2Ph_BAaA7TmwzfMnCmy9Avf2mzGW7AOR9H-dd--D08,3290 +torch/include/ATen/ops/_embedding_bag_forward_only_compositeexplicitautograd_dispatch.h,sha256=ndp_J5Vxul4csq9QHo4cpQnKzvXFfIPeWrKpStjk-MY,1579 +torch/include/ATen/ops/_embedding_bag_forward_only_cpu_dispatch.h,sha256=q0wkVuFVdWCZmAK1E7WBQnym8PPj3QHQ4kSVbsSp49k,1025 +torch/include/ATen/ops/_embedding_bag_forward_only_cuda_dispatch.h,sha256=qCKXfww2PSj3In4WDsm79tiN48lAf7CM5Vq9fQCTI0Y,1027 +torch/include/ATen/ops/_embedding_bag_forward_only_native.h,sha256=qHjYXBKAc-iYkpAN9_TdTKQ96eLauuqFwMMRC4uOhkE,1581 +torch/include/ATen/ops/_embedding_bag_forward_only_ops.h,sha256=mpbQ_37xHXzDahwb59dEH2rjFNWPFVFGz2-3-Yv2C1A,3718 +torch/include/ATen/ops/_embedding_bag_native.h,sha256=DOjL5Q40SYP-n0Ex4I_bW43B47_Cl_wMiL9RjyBZr7s,1542 +torch/include/ATen/ops/_embedding_bag_ops.h,sha256=BD2O5vr67Pggc_OW1JP7Zr64eTrR-fyu00zPv3HWyc4,3640 +torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward.h,sha256=uFywZU6H5IE5x97LrgWMzYKmpenISqKqAEWCGHJqINc,2287 +torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_compositeexplicitautograd_dispatch.h,sha256=htwTEtG3JsmKY1-yJ-RwrPYBh8WFL663lORtOfsmlHc,1240 +torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_cpu_dispatch.h,sha256=S_JX79qmZVij_rqqXdyOvOulHpWc-B7Pg6VFFoxmJfM,908 +torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_cuda_dispatch.h,sha256=3CIHmD-DAh_D-BG1xVGmdS3i37JOJ4HV_xxZoIS6yng,910 +torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_native.h,sha256=ZjbMX9ek4yEKaxF7V6us04VFt3eShK4oWVEZ1v25mUw,1189 +torch/include/ATen/ops/_embedding_bag_per_sample_weights_backward_ops.h,sha256=CVUJBxwey2KeARfaGuVGYQnyiVlbOs0WLtEDpUF3zLk,2790 +torch/include/ATen/ops/_embedding_bag_sparse_backward.h,sha256=0ONNxhGJ6sk-Y5vur9dPKLiB4x7MWYk1BwrEfXYoZ2E,3247 +torch/include/ATen/ops/_embedding_bag_sparse_backward_compositeimplicitautograd_dispatch.h,sha256=0ZL6-AzYaiGfrevHXBwWWXkQSrTxXRxOQLhSrjMzVZs,1385 +torch/include/ATen/ops/_embedding_bag_sparse_backward_native.h,sha256=28LzrO4ZDfH7hxiCAuMrgcYIR-NRSHo4d4Zh8tyXC7Y,776 +torch/include/ATen/ops/_embedding_bag_sparse_backward_ops.h,sha256=5hbu_ghR5ILbjyJHK5LEiWc90T5GUZtAKuFl0vTeGtM,1872 +torch/include/ATen/ops/_empty_affine_quantized.h,sha256=b_j9DqKIU9kHD07nbZivwxB31vKiY9N21HPhLJuUXYI,9123 +torch/include/ATen/ops/_empty_affine_quantized_compositeexplicitautograd_dispatch.h,sha256=zgWgA2dBpwKQ8GenEWODoG0fxTP7gfPGC0ERAOyZXVw,1484 +torch/include/ATen/ops/_empty_affine_quantized_cpu_dispatch.h,sha256=ZcNMyYvEwA4QvjlMsk0cGs1zNiA_QZB6ws16IyUm_j4,1676 +torch/include/ATen/ops/_empty_affine_quantized_native.h,sha256=uWZ1ZAq1q9yXoCSFRThdmuLL37enrJMQQuvXmdkPqGw,1289 +torch/include/ATen/ops/_empty_affine_quantized_ops.h,sha256=D-DOtzfnZ6zspeHwdC82WPcEea2RpBOKj1T_d3OeYmo,2758 +torch/include/ATen/ops/_empty_per_channel_affine_quantized.h,sha256=9hIhWW-Zo45H6Ti336eciKgKD3-4fHRr7Goi3d81b9g,10431 +torch/include/ATen/ops/_empty_per_channel_affine_quantized_compositeexplicitautograd_dispatch.h,sha256=bc1B6V0b-lLzq3rKl6RGq4iekT_qICXnD0QixJNg3rI,1680 +torch/include/ATen/ops/_empty_per_channel_affine_quantized_cpu_dispatch.h,sha256=BAh8wlsuNYZxBKIg9Ka-j5pK1sWXJwpv_AXjEtmvMdI,1872 +torch/include/ATen/ops/_empty_per_channel_affine_quantized_native.h,sha256=apiFJMnTtv2AxIG-I1eqGePd7bMbMt-SCrtYfcs8CxM,1434 +torch/include/ATen/ops/_empty_per_channel_affine_quantized_ops.h,sha256=qPB6VRUIEM94qZ-7wtcpfGsPOvpct8AD13EqmiuQ7bw,3074 +torch/include/ATen/ops/_euclidean_dist.h,sha256=scsCw0lsjukfNwv94nIc_Qt-dqEILlmvOd3NJow6UEs,1201 +torch/include/ATen/ops/_euclidean_dist_compositeexplicitautograd_dispatch.h,sha256=uHbSXlrLcuYEdrGJzbMZ2-aFWm3wWfMuBxhznBYuML0,1011 +torch/include/ATen/ops/_euclidean_dist_native.h,sha256=VaxZ5Na2Wnkk2zhSHvMlrFKO67ifb5FZ6_zcRgxTs7Y,625 +torch/include/ATen/ops/_euclidean_dist_ops.h,sha256=WITR106CHZym5f_xwfZm33PxgcLPLP-yi0TCb5vHnuc,1786 +torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine.h,sha256=wd0ILiOOsdEp5gs88ws4oVJLiH0kdVN66XtSRd-eh4A,2248 +torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward.h,sha256=uxF_lhcV31m_hO4EaxCkaC73zl5HE8LVQUz0tGeBD-U,1196 +torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_cpu_dispatch.h,sha256=Z3HjXf18jEHoIFJ_3ffWCsJKEn7UAjPv6CAD3SPXYiA,960 +torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_cuda_dispatch.h,sha256=twJrFK6zwJkcIxRZmi338cEPADDp4hCVc-M_SB4_TrI,962 +torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_native.h,sha256=44hJZordnBsAlLJucAC4ygF4Ml6is-PvW1AJ9QANPjg,727 +torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_backward_ops.h,sha256=ZXaoL9WR60U8Tz1ZSrn8XgOMJBS78ddNBwaSo_5IWF4,1743 +torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_compositeexplicitautograd_dispatch.h,sha256=WYeo_28S6rERoId5--EQBXmtM4k3hplRm4bNPOM-V2Q,1203 +torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_cpu_dispatch.h,sha256=5wJlQTF9DVnZDji9DT24FEjrq2PYFn-OnPeCIRbR2zI,890 +torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_cuda_dispatch.h,sha256=a7OHKzFejNVNgsmcz8Xh36fTFjOVGp9pjxzKSDxoXnk,892 +torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_native.h,sha256=hTgUf4xzgTu0DtTXDIZgbriBIjIwUdbYGejaGvltMyU,901 +torch/include/ATen/ops/_fake_quantize_learnable_per_channel_affine_ops.h,sha256=YarvXMGA_gRcz1HuuHIiUcln0FLpmjLoqPAUXNB9IyU,2670 +torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine.h,sha256=SE-B2bOkzf7CyaERNDr5q67WLIv_yJb91eNdH0FuTzQ,2148 +torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward.h,sha256=1wtpU9k_v1ZqS8YmvyKwUnlM5cqrBV2BjDkmjk7WOH8,1162 +torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_cpu_dispatch.h,sha256=1ztJyBf1_t1uUSpn29ubEBpTJKE2Zca02ZUKYE82C7k,945 +torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_cuda_dispatch.h,sha256=eZR2vo-E9FDxhwwI3KLVbh4D6d3wVg06UmhlamH8clQ,947 +torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_native.h,sha256=OAd7XM_evSJ_GQ1fgvPi4zGyTQ8Ad8J4fdPN1KX1Fvs,712 +torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_backward_ops.h,sha256=5pf8zMuK5J9T9oBV8oKi2MTIfAYbwIVMajEBaAal-Lc,1693 +torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_compositeexplicitautograd_dispatch.h,sha256=psAB59dp84lyDfVPrtHMC29sZg1RAFuUyrxaKkfnBrs,1173 +torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_cpu_dispatch.h,sha256=gMuPyptXG0J8p46sumiDlFc0LQtauT2QrT14gy8Te-8,875 +torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_cuda_dispatch.h,sha256=pUwXpNO6buFyLj_9szcG_E1_jBCt4p30qjPpS0Y9CLU,877 +torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_native.h,sha256=pEb8MMyRVkMFlG2NpCe85376u8sCBryOPB9rnCNuRjA,871 +torch/include/ATen/ops/_fake_quantize_learnable_per_tensor_affine_ops.h,sha256=2tFFHJ6l_IB4BE0aR0nSd0Tm09zlhUYBw0uRZQSG4Gg,2570 +torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams.h,sha256=Qip4GkeFTnG69h3wKLwteKii-ohk-DV-hLYbluXM25A,2599 +torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_compositeexplicitautograd_dispatch.h,sha256=G5OP8iiLIZOAtseqIUdRq7HbGIRcrF6DFuePGY4AV40,1331 +torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_cpu_dispatch.h,sha256=J_VRqE9ZWG3vx8oVLeGwZFnogRnt-S2zRujG6wBH-eo,930 +torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_cuda_dispatch.h,sha256=oLkSNaG5PCAs0XaF6gK4-Y2yAfcfYnqFYKiYWjHOgN8,932 +torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_native.h,sha256=WTxIMOW0SZK54M1i09mKuyElGl6k-Wizk7Ln874-nuQ,1007 +torch/include/ATen/ops/_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_ops.h,sha256=0eWG7s-ukjipa79qKN7VBmuxkUq3yx4z-TU37x4uoFU,3032 +torch/include/ATen/ops/_fft_c2c.h,sha256=-JhBNWHrPkhBEl9Cb4KfWlgjuJ6jHsnnGOf2V1SiJcg,4471 +torch/include/ATen/ops/_fft_c2c_cpu_dispatch.h,sha256=vG9P7rhfhPiolRBiKFzwCCkPX4hgWueqCsM5Q6a9Axw,1481 +torch/include/ATen/ops/_fft_c2c_cuda_dispatch.h,sha256=4sTsoNuL94y-DfqqkHhUhdvfdpjVHRrqSo89XUxSD64,1483 +torch/include/ATen/ops/_fft_c2c_native.h,sha256=zBv54nwu_kYffCkKzDqgtNHMiGvec8pT6FgjTSnjZRU,957 +torch/include/ATen/ops/_fft_c2c_ops.h,sha256=X2Ai_0boNnis_V30cbVS1B4-xBD9cn2bas7uFBVeIj4,2016 +torch/include/ATen/ops/_fft_c2r.h,sha256=4ePTeioQoo4pmbNLM7KeWL4o0Q2oRjQ2KD4t70Km4g0,4525 +torch/include/ATen/ops/_fft_c2r_cpu_dispatch.h,sha256=0E-hSl-YBGNvGnikAJme9itp-dWOoPtWEOq4jzQpXgw,1535 +torch/include/ATen/ops/_fft_c2r_cuda_dispatch.h,sha256=hbgk4cmX0ZIPHBW3Uk5vSB-_WFCZz776XzLaA7qDMDI,1537 +torch/include/ATen/ops/_fft_c2r_native.h,sha256=lyp8RhyrrUzHRzfcrm1RsX3fnVuUXORtQ5ZXvIUolHM,993 +torch/include/ATen/ops/_fft_c2r_ops.h,sha256=nRXWNnbq51UwwrgsNjnb83U8ph3bJdQKhpok4Ayu5OY,2068 +torch/include/ATen/ops/_fft_r2c.h,sha256=gd_mqHoYkKdco12VzW2vPOI-M3mRO0S9Y_2R63L6iKE,1437 +torch/include/ATen/ops/_fft_r2c_cpu_dispatch.h,sha256=HCV6m89fdPaz42FaYguyEBeVK3uSMVbDVu37R8al-9g,1060 +torch/include/ATen/ops/_fft_r2c_cuda_dispatch.h,sha256=bUkhmkjwaLBYCqKYZilmEX_UlvprzUKiQlbUlwKeNVI,1062 +torch/include/ATen/ops/_fft_r2c_native.h,sha256=pq6pl6s3fyJTGHltfH7NmHo_OECKnRa6ddoe-gPOKbA,961 +torch/include/ATen/ops/_fft_r2c_ops.h,sha256=RSHsuE0nkGW7DpwyXhSyjXVyxHwcQVRgwjiFzLZZpKY,1992 +torch/include/ATen/ops/_fill_mem_eff_dropout_mask.h,sha256=hvSf2xZGxFQhZFmRORcBRfOWypEKsH5VJwdz_69UQBk,824 +torch/include/ATen/ops/_fill_mem_eff_dropout_mask_cuda_dispatch.h,sha256=vQYSybPCXC_d0UdKdq6dT_VPS3g3GTehIGDktXx3_QU,787 +torch/include/ATen/ops/_fill_mem_eff_dropout_mask_meta_dispatch.h,sha256=_-mUYXvW1VRaAGykMy9tiEaL4qhpENa_etemoRI8Y6s,787 +torch/include/ATen/ops/_fill_mem_eff_dropout_mask_native.h,sha256=rUmnSIlsTSOzNA15Cje1KCwIDGSqY2u5wfDraFf-Vzo,552 +torch/include/ATen/ops/_fill_mem_eff_dropout_mask_ops.h,sha256=vuE159p5NIkQsQzY2aKC1B_zsYYZUmHmsB2uZDHjkNo,1187 +torch/include/ATen/ops/_flash_attention_backward.h,sha256=UdmgmraUzQrKTkNZ6B_W9_paWx4ZKMqiuUXz4ogFBJ0,4036 +torch/include/ATen/ops/_flash_attention_backward_cuda_dispatch.h,sha256=M9mfj5poJe-Zewby3SCVFiuod6SOpLO4b8Ri_A-Mp8E,1633 +torch/include/ATen/ops/_flash_attention_backward_native.h,sha256=zQ22rkML2NXclhw2zOAmFYVJRQpP1afLucbUPLTvPAE,908 +torch/include/ATen/ops/_flash_attention_backward_ops.h,sha256=GvIyDAi9313MYfHnWTn2jI8xJhbCFxDPPMJ0o5sBfB8,2350 +torch/include/ATen/ops/_flash_attention_forward.h,sha256=oGppTPaoesKjaGt44KfhNiEvZMXfBGPo7ZV9yNX9jf4,3633 +torch/include/ATen/ops/_flash_attention_forward_cuda_dispatch.h,sha256=xSNgUB_AKz1-YDDtnAx7WMXoJ6dzWT5obCJxqpl_T00,1485 +torch/include/ATen/ops/_flash_attention_forward_native.h,sha256=WQPlulkqOCeOUdKRpx0iIycoq3GD13hKeftIETyBHw4,834 +torch/include/ATen/ops/_flash_attention_forward_ops.h,sha256=oS3Fh7liq_MK-1ixenwjSzSVKpO_wOWSnDSqm165lIw,2179 +torch/include/ATen/ops/_foobar.h,sha256=vSmKV5zEX6DBR_1IVxlKjY0G3O6bdpafcdt_pg1M1ow,1355 +torch/include/ATen/ops/_foobar_compositeexplicitautograd_dispatch.h,sha256=eTMDwoehka6Yew01hrZlosLyhVbg2eQWEMrecSrVyaM,950 +torch/include/ATen/ops/_foobar_cpu_dispatch.h,sha256=U54bsQYe5HIg0ZNZacgqQQXBZgjbJkUrZk_zFpuULNs,769 +torch/include/ATen/ops/_foobar_native.h,sha256=HSO_LPy7UGZmgucOgy3katQ_xAlvwge-X15pFLD_gLI,647 +torch/include/ATen/ops/_foobar_ops.h,sha256=cOMnPe7YinoNEctttUuPk03UF8t_On1wFUdbdEFyJYo,1863 +torch/include/ATen/ops/_foreach_abs.h,sha256=37bSPMZImTlFR04lujIupowec0PTraDYNQUnw146vzo,1210 +torch/include/ATen/ops/_foreach_abs_compositeexplicitautograd_dispatch.h,sha256=oBhjqTEOXeawmiMZ9osR4UWuKRI1fuz6otoma1vKdcI,859 +torch/include/ATen/ops/_foreach_abs_cpu_dispatch.h,sha256=6HVed--IdaaW_zypWXoPvqkr3CIQRmOpzueQb8p6oYY,788 +torch/include/ATen/ops/_foreach_abs_cuda_dispatch.h,sha256=5UlQXvudjhXWBNRzjmqqyHaJfUqA5ccfQ6hEJp2aT84,790 +torch/include/ATen/ops/_foreach_abs_native.h,sha256=tXQO49jvIJIMuqgN8fojGFgU6DKw6GjPW9kfDKgE2xM,795 +torch/include/ATen/ops/_foreach_abs_ops.h,sha256=wUmVk6JwMj2JHFTgD6Fdqls5_NDq7uKqlkkWRuzoKvY,2155 +torch/include/ATen/ops/_foreach_acos.h,sha256=SUr9IFkw8Y3Q5iKAcpco8YpOO52MoCy5L-tMTOj9Nh0,1223 +torch/include/ATen/ops/_foreach_acos_compositeexplicitautograd_dispatch.h,sha256=LFJl0g2KclZyfnd_IFlXeii2Ab1Ax3TkFFcK-Il7_A0,861 +torch/include/ATen/ops/_foreach_acos_cpu_dispatch.h,sha256=lkMYsKKn172YfS1wfxpRZxlt5xgRpCwNjPT1fXRYKPs,790 +torch/include/ATen/ops/_foreach_acos_cuda_dispatch.h,sha256=NRoWwOrZzam4MFnN4nvHRPJa3a_mLnrUh_lJukCtHx8,792 +torch/include/ATen/ops/_foreach_acos_native.h,sha256=vE06fOvH0qmirRWK0bmGLlHXU0ocMaDWMcVc1MDV2EU,800 +torch/include/ATen/ops/_foreach_acos_ops.h,sha256=DMVbKL1s0q1u0mOWMVauGoAz7XJy671n1asV8eUyZvo,2164 +torch/include/ATen/ops/_foreach_add.h,sha256=wBdainsAfeDUKwsLKyqtXLlCvlwICGwo9yHTqFG06O8,4820 +torch/include/ATen/ops/_foreach_add_compositeexplicitautograd_dispatch.h,sha256=nUmdv0OoCNSFFhd9m7Q9MQ3USyXh-Z_oG3NyblFlHMA,1632 +torch/include/ATen/ops/_foreach_add_cpu_dispatch.h,sha256=hlAP3kHNSi5j3ylDHv0UE1IBENBbNeuE3NikDIPfK0E,1484 +torch/include/ATen/ops/_foreach_add_cuda_dispatch.h,sha256=ewlwgufQtICulyoxQOLsPdvUteiugdv9EQBcaeeTnDg,1486 +torch/include/ATen/ops/_foreach_add_native.h,sha256=ksXtnIMsZtruE8J_Q25Wp7lXTzGDYCoF02CAY-422hQ,2964 +torch/include/ATen/ops/_foreach_add_ops.h,sha256=zRLxisBOhxt9t3RZZZZkhWwR0_M99NAzI7hD_EQ8mlc,9209 +torch/include/ATen/ops/_foreach_addcdiv.h,sha256=5zUnQayj9lFTa5qMFGAh1ae1057Bm8lTPmdLLIfbPnw,4868 +torch/include/ATen/ops/_foreach_addcdiv_compositeexplicitautograd_dispatch.h,sha256=4GrRul1c4ih1UpoG-lfOBUv7zy3qgDatSfXMnhgw-5Q,1647 +torch/include/ATen/ops/_foreach_addcdiv_cpu_dispatch.h,sha256=-IBm7i2esaSAITjFz151sa6T3HvQP_GX7WjtSay0gRY,1524 +torch/include/ATen/ops/_foreach_addcdiv_cuda_dispatch.h,sha256=vAAK2qZphWw5PllUGaQl7vk_Tu8hHmsVsxwXw1CxJqg,1526 +torch/include/ATen/ops/_foreach_addcdiv_native.h,sha256=qPuUiWu5vn5IGrfzn8j1Uw7J6_IMkj_yi7PMISWA92k,2872 +torch/include/ATen/ops/_foreach_addcdiv_ops.h,sha256=rgwAqRIez1hav0SyEh1aEBrzx8gHhhhFmSQnLhihJmg,8276 +torch/include/ATen/ops/_foreach_addcmul.h,sha256=4TD9-267oJ1MhTUAQGf_b9iRFI-RnpBXxn1g3YUbADM,4868 +torch/include/ATen/ops/_foreach_addcmul_compositeexplicitautograd_dispatch.h,sha256=F1uKJyygkQCz_UabhKP_CG3fY-R5gZAb1ViaxaRcI60,1647 +torch/include/ATen/ops/_foreach_addcmul_cpu_dispatch.h,sha256=BcpExG3sXTx2PWzlOewGoNQ0B3U-ceyxn70Zz2F27ro,1524 +torch/include/ATen/ops/_foreach_addcmul_cuda_dispatch.h,sha256=DpgTCL0YXc9a80E5UYbr52EmlCjpJL3Bdf4Q1-DTPVk,1526 +torch/include/ATen/ops/_foreach_addcmul_native.h,sha256=dW0lvCb_8-ToyCrgOM-WMzUE1KoFlrAMCn3E6uKWz-w,2872 +torch/include/ATen/ops/_foreach_addcmul_ops.h,sha256=-f-yO9LQ6BzdeSr5a2ASfcdegmkSvEZRQc5UHQP8Lhk,8276 +torch/include/ATen/ops/_foreach_asin.h,sha256=h6W0MOWP4-q5evBetYeDxaz56n4URuLEUQUDtUJTVSc,1223 +torch/include/ATen/ops/_foreach_asin_compositeexplicitautograd_dispatch.h,sha256=i-OkkYtgDPf-ImAQwrbm_tc-fxguWHb5kk7LIYoPFrA,861 +torch/include/ATen/ops/_foreach_asin_cpu_dispatch.h,sha256=3T9FCYDwfyvPMRlOt4-l0JCriAhtJ7k5VKLwCy3SDV4,790 +torch/include/ATen/ops/_foreach_asin_cuda_dispatch.h,sha256=38H_01JqJQ1F4EWAi94S8tbhzO92Ywy_iVJrHwQpHcE,792 +torch/include/ATen/ops/_foreach_asin_native.h,sha256=1uERx75uzZihLa-bOST5piAJythsRbe9RxT7G-I4vaE,800 +torch/include/ATen/ops/_foreach_asin_ops.h,sha256=ytj7g2vsPa9YoX5VcYe68I5bwEEYYR3GYyqZ6S8V5z8,2164 +torch/include/ATen/ops/_foreach_atan.h,sha256=ygn8-jKiah8O1B9ktbFspqjSKmXX9Z_X40qukObl38c,1223 +torch/include/ATen/ops/_foreach_atan_compositeexplicitautograd_dispatch.h,sha256=SppQsM720ZZSBkMKZCE1krHEHbJaiamjCYV-zCD6dAw,861 +torch/include/ATen/ops/_foreach_atan_cpu_dispatch.h,sha256=gBjQ3_CqE-jcuZ_tQfVtkYF7cTCRVRLsAlZtV3B92Xk,790 +torch/include/ATen/ops/_foreach_atan_cuda_dispatch.h,sha256=GWRjqm41W79GslWxuejYEbMBJLDVFxkcAlSz5oyjOVg,792 +torch/include/ATen/ops/_foreach_atan_native.h,sha256=Jfpbl8YmkM3Zbi0ZPCSQg29OekC4Xo3itS1ocyk3bio,800 +torch/include/ATen/ops/_foreach_atan_ops.h,sha256=NJDRkDVje00uogyRWXClDQbKsYK6TnXzIQ2-p3-1OhU,2164 +torch/include/ATen/ops/_foreach_ceil.h,sha256=HnzYULig_YeaKRffHvAV5Tpz5XOh7Bx2fbCHtmhLsSQ,1223 +torch/include/ATen/ops/_foreach_ceil_compositeexplicitautograd_dispatch.h,sha256=ek8WtihIyKRpdOCVNXmNvtRxJWO61I3k8ke-8rae9Q4,861 +torch/include/ATen/ops/_foreach_ceil_cpu_dispatch.h,sha256=jPLJjsjbn0lByZlr9kZy5jf4-udeKkOWbCdrHW-Yxb4,790 +torch/include/ATen/ops/_foreach_ceil_cuda_dispatch.h,sha256=ym66WI0oTa768dUfaWaR1Z_-iGx9d6HlmaPqAvR7Avg,792 +torch/include/ATen/ops/_foreach_ceil_native.h,sha256=sf9NdmLgpe9N_ZAlU-JUMWHGSfVKfekITJ6usU0WQD8,800 +torch/include/ATen/ops/_foreach_ceil_ops.h,sha256=u60EdsrWH10CKuK032N3kbgveNiXDpKteDMYSxTsUx0,2164 +torch/include/ATen/ops/_foreach_clamp_max.h,sha256=8QizLoJrx9jIYXLkFETdREu489LhqsCRAHEf4f4aUco,3668 +torch/include/ATen/ops/_foreach_clamp_max_compositeexplicitautograd_dispatch.h,sha256=cWpbZi2JKWqqpSa-cGsE_Xkmzqf3aP2OLxh0odAFFnA,1359 +torch/include/ATen/ops/_foreach_clamp_max_cpu_dispatch.h,sha256=P33gXBzLJosUMR6Xu3VLkvJ82326IbXsSDdV4pfadU4,1234 +torch/include/ATen/ops/_foreach_clamp_max_cuda_dispatch.h,sha256=kSGVSTx5UF7E3eTENGbq3cM_UYpCjXWK1Y4oZ3Sexlg,1236 +torch/include/ATen/ops/_foreach_clamp_max_native.h,sha256=1_lAAccutAT9Sf5iwYeqeu4mLDH8idERcyHoNMP_rkk,2223 +torch/include/ATen/ops/_foreach_clamp_max_ops.h,sha256=TNI8G4ClRi8wDkCDeKVF4Ua6oFmHoF9duzf4VmyjsCA,6791 +torch/include/ATen/ops/_foreach_clamp_min.h,sha256=IE42Z7K2xTxHGyJseyuwS1XF-qZLNGd2Ki3exDuO_UQ,3668 +torch/include/ATen/ops/_foreach_clamp_min_compositeexplicitautograd_dispatch.h,sha256=x1hWX1CUobOZezM0MZZ43Nl8kTx_3G49GNNgX-tz4uo,1359 +torch/include/ATen/ops/_foreach_clamp_min_cpu_dispatch.h,sha256=ZppRvrTD9ODoXCdaVLwFHBFUEUV540Pru3P3gQU-5Tk,1234 +torch/include/ATen/ops/_foreach_clamp_min_cuda_dispatch.h,sha256=zFVRm881gidg0CMY-C27EZKVdVwefNs8LhPMyqwcyCU,1236 +torch/include/ATen/ops/_foreach_clamp_min_native.h,sha256=5mw7TyR0nZDTvVrPJ_MoO5J0RQeoB_p_gUCP3T-gF-U,2223 +torch/include/ATen/ops/_foreach_clamp_min_ops.h,sha256=MVcdXyM_TQW5MgKVi3ZVN-_Bxfmgjd-_w_Vlx3Xco50,6791 +torch/include/ATen/ops/_foreach_copy.h,sha256=YxtKwvq6Cw3ZK6pjckbS2cRi8LifWgwCCSG0JRms0FY,1638 +torch/include/ATen/ops/_foreach_copy_compositeexplicitautograd_dispatch.h,sha256=EW8wmddVJNHZTClDqepesgwMAVyHxTJ3t0N0X8c8XEA,1062 +torch/include/ATen/ops/_foreach_copy_cpu_dispatch.h,sha256=XR0zUpJllePJ2UyQFkzX2O5mFqjUaoesBfnt_O8EyN0,763 +torch/include/ATen/ops/_foreach_copy_cuda_dispatch.h,sha256=5T0gDhiArLSHK0k0eaNLeMICjZlZ4EzU_XrbZ8MYyVU,765 +torch/include/ATen/ops/_foreach_copy_native.h,sha256=c-nRYI0KGkuLDSWRg41DLRNP6fzjR2vVcRtpWUnRqcI,904 +torch/include/ATen/ops/_foreach_copy_ops.h,sha256=O9nF18sIFdxgJ6uYnMqIYx9UeTvlUO52uC4tRNZf1VE,2590 +torch/include/ATen/ops/_foreach_cos.h,sha256=dp7uNmMF7yBKklJ9mFy7mGNv5GGYJJA37x_KxImTIsw,1210 +torch/include/ATen/ops/_foreach_cos_compositeexplicitautograd_dispatch.h,sha256=ZrVfalgTo2SbEOFxXnUz3P3ob5zLDMlqd6tji3zZLl8,859 +torch/include/ATen/ops/_foreach_cos_cpu_dispatch.h,sha256=f2UTobV_CvaC4q1JF9rFEUGaL308E2i-p7P8l9_F8MQ,788 +torch/include/ATen/ops/_foreach_cos_cuda_dispatch.h,sha256=GsjGjHE-sZgyew1RPiPD93Wf4Q6ZK-i9lIZCqaYn4pk,790 +torch/include/ATen/ops/_foreach_cos_native.h,sha256=xjSnpHWwCDvNzrKdohyNhBV-Vs32nYwGukkTXm-JYu4,795 +torch/include/ATen/ops/_foreach_cos_ops.h,sha256=nljb1dH7C8hy8-dHX9Dx5sl40DEqixxyl6nseVPmni4,2155 +torch/include/ATen/ops/_foreach_cosh.h,sha256=6ohBoDWHwkIwlJHX0kROJftYb0QtKhd2lKcpMK732XA,1223 +torch/include/ATen/ops/_foreach_cosh_compositeexplicitautograd_dispatch.h,sha256=4nA2BWgtTuuXA9vZoA1dImCY-lLPf1kZgT6qCpdsmVE,861 +torch/include/ATen/ops/_foreach_cosh_cpu_dispatch.h,sha256=RohWFVl8xvPB4RjLfQV86gcRl2sTd6TIjlnpkqim3ys,790 +torch/include/ATen/ops/_foreach_cosh_cuda_dispatch.h,sha256=Tjd_o4u9CbccpZCl7MsO8cl8h0phD4e73t4pRf5986A,792 +torch/include/ATen/ops/_foreach_cosh_native.h,sha256=Z5JwW_p-HvGlT1lu9VWLSVA-pIH6b1CjILQmf9Hn-L8,800 +torch/include/ATen/ops/_foreach_cosh_ops.h,sha256=tpU_qymschWpmxpTrBF2Z9AFW4yCaPQpTf_-X4mnhVw,2164 +torch/include/ATen/ops/_foreach_div.h,sha256=r8c-S_rFJJSBGlQGLrBAPtciv-YBdTjC-XaFlT-YG9k,4404 +torch/include/ATen/ops/_foreach_div_compositeexplicitautograd_dispatch.h,sha256=sT4exkvOuVYhse427sDUyCgGCaOm5rIZgK3uMyP3PNg,1524 +torch/include/ATen/ops/_foreach_div_cpu_dispatch.h,sha256=4_ZxhuNGQ99Fjd2WWniNkdV1AQMwv31DJRQrj-zKZ5I,1372 +torch/include/ATen/ops/_foreach_div_cuda_dispatch.h,sha256=blhBC-UbhxiAk7kKXdRfqEsaDydYA8bXKHPwUPpoB4k,1374 +torch/include/ATen/ops/_foreach_div_native.h,sha256=HkazIk78wdxwRIpl7lm_rGTF9z_pfPWcaAMlzpXkEVk,2688 +torch/include/ATen/ops/_foreach_div_ops.h,sha256=mCNsmIWAqRQOtuQ_agogLvdWD3pnzMjvBC74xr8oKUo,8669 +torch/include/ATen/ops/_foreach_erf.h,sha256=Uvnxu0PGqWXhCTj9D48SdIxNvT0Q---7ulKwopyog_A,1210 +torch/include/ATen/ops/_foreach_erf_compositeexplicitautograd_dispatch.h,sha256=3xOyumIjYjJM4-rMokKJOJBRnNUqY5DPW1VHaY5r8zk,859 +torch/include/ATen/ops/_foreach_erf_cpu_dispatch.h,sha256=HVoSXL23ZR9PBUUmRPg-Hr5Rb0uppwoJ4tHZ6Hvbt_4,788 +torch/include/ATen/ops/_foreach_erf_cuda_dispatch.h,sha256=WJjVQufaliIg_rLuhVlACskdOsRiofBS6g7uxf_ZUio,790 +torch/include/ATen/ops/_foreach_erf_native.h,sha256=ip2nqJXIJx38Rfs73eqjhSc03sZvQFuLwjOpKKauFEQ,795 +torch/include/ATen/ops/_foreach_erf_ops.h,sha256=2CZC1-00adqZlcMJVDNERi9otWhAr1WIWv43KmjzoiM,2155 +torch/include/ATen/ops/_foreach_erfc.h,sha256=Dm_MqUhfpdaxhUIMNoMmt4dbXGnMZ7oXFfml9nEaulI,1223 +torch/include/ATen/ops/_foreach_erfc_compositeexplicitautograd_dispatch.h,sha256=2YZk0QCuNu5clkjJrQCxzg0a3Ya6iFoUCjZwCOkSIiQ,861 +torch/include/ATen/ops/_foreach_erfc_cpu_dispatch.h,sha256=T0EQf3RIAeUf-KNkB39yIq8BXRdfPqIVq6bDCjcRdJs,790 +torch/include/ATen/ops/_foreach_erfc_cuda_dispatch.h,sha256=OGrzRWlfkYHpaVDfyvoktU8UQq6QyV7xGtCUT_m4P3E,792 +torch/include/ATen/ops/_foreach_erfc_native.h,sha256=k3_j02WZXlgeq9MdWEKYNkb7RIuId709EuTEjZCwKCQ,800 +torch/include/ATen/ops/_foreach_erfc_ops.h,sha256=S2xftv_I3BCkeVMAAFLCMt9CvNhwf16eQoo_P-9Hwts,2164 +torch/include/ATen/ops/_foreach_exp.h,sha256=UdqmZLoNRWgLpRic9CrdWz1v1eYJ-Ei6AR4fREpenr4,1210 +torch/include/ATen/ops/_foreach_exp_compositeexplicitautograd_dispatch.h,sha256=SvCCnsStgbtLTyqmRD9UK9ti-tkkFgdyoaQt43Hp46Q,859 +torch/include/ATen/ops/_foreach_exp_cpu_dispatch.h,sha256=FfdInbM0joLBp1Esj2w7rSRR2QV-7fH4oHehbx-qi4M,788 +torch/include/ATen/ops/_foreach_exp_cuda_dispatch.h,sha256=XWlwnhSYGBPeuwbKtqdimPK8GvWeKm_dYO5iKg6iQTc,790 +torch/include/ATen/ops/_foreach_exp_native.h,sha256=2j6CrTNW3_Aitd0Uim5Da6GzULVAoaFJsu8ZZhPkb1g,795 +torch/include/ATen/ops/_foreach_exp_ops.h,sha256=l91LX7en0foeZSLxF-AX6EK2EyVkTyE5gA-PLSWcx-Q,2155 +torch/include/ATen/ops/_foreach_expm1.h,sha256=jqXBgyGkNP08UmI70Q_S2l9CG2RNTeBoNw4vgqbl-lQ,1236 +torch/include/ATen/ops/_foreach_expm1_compositeexplicitautograd_dispatch.h,sha256=lrPTOAYbVX6oE7BRXLqRaSTWxN-SWLXlafA1mFX1ggg,863 +torch/include/ATen/ops/_foreach_expm1_cpu_dispatch.h,sha256=HHRnDp7kxz9Lq43IzEJ4l8mX_tSIu7jePHv5pp92dnw,792 +torch/include/ATen/ops/_foreach_expm1_cuda_dispatch.h,sha256=D5YmPyI30BE8PM7-_qlIfmWAXNESKCTBaqkopj5KbYQ,794 +torch/include/ATen/ops/_foreach_expm1_native.h,sha256=5WVNlvMh0KAC0J3u5VOChhCGHYQvCjpO6rIQFfb6YPs,805 +torch/include/ATen/ops/_foreach_expm1_ops.h,sha256=N3M7yJEbusLeYCU9gtOH-WP8Oy-Yry0FgRI_5a5pmp4,2173 +torch/include/ATen/ops/_foreach_floor.h,sha256=lP91e4mWRw43dDqjaXe1R6KL0RvDUl9tCK9K-bLf9rw,1236 +torch/include/ATen/ops/_foreach_floor_compositeexplicitautograd_dispatch.h,sha256=fLNhZ0K06v_Smdho-JO5khpPO9bO-JV5lZixQhneK4w,863 +torch/include/ATen/ops/_foreach_floor_cpu_dispatch.h,sha256=WOvuji4GvImXoDIivhwhc0uywuIji0A3xljNdWICqrY,792 +torch/include/ATen/ops/_foreach_floor_cuda_dispatch.h,sha256=55R0Y5YKLcpj_ChzYu_4yP_RrZcRkVn5C68n8VGhg94,794 +torch/include/ATen/ops/_foreach_floor_native.h,sha256=x3t-tD6BvCC6nNMXSwNa7YDQYP8VwWCKr6zzn3xlTIU,805 +torch/include/ATen/ops/_foreach_floor_ops.h,sha256=J1Dor77M1hTeXb1prePrQnVLJQQ6-kNyAM2450CiiKk,2173 +torch/include/ATen/ops/_foreach_frac.h,sha256=4HgHQtaFAcd7wCApMbfPyFK_X2DncnvC3PKta_N1AtY,1223 +torch/include/ATen/ops/_foreach_frac_compositeexplicitautograd_dispatch.h,sha256=r6cTswjYlSixiobFtGpNYMRfXJgbmBBYHMnXuglZsO8,861 +torch/include/ATen/ops/_foreach_frac_cpu_dispatch.h,sha256=Pf3g3FNf7zljCrfy0q4sqihvNkUPAmTRYvkkm2NlMOg,790 +torch/include/ATen/ops/_foreach_frac_cuda_dispatch.h,sha256=IBPJo0ySAGJvURuBXiBrF2Wn_kCZKL-uIusdCA1p6iU,792 +torch/include/ATen/ops/_foreach_frac_native.h,sha256=Zh50dPkXgEdzFsDUwdcH-xe-mWr44VB_8Lst0o1-sDM,800 +torch/include/ATen/ops/_foreach_frac_ops.h,sha256=dCMVAdQrsHTYGyyWNTXtFHqLQEAWjIagXeWKx4-f6V4,2164 +torch/include/ATen/ops/_foreach_lerp.h,sha256=9S8y8joc8sa7io422TXOq_i0cy1z0T4GLM9rMLbD-j4,2881 +torch/include/ATen/ops/_foreach_lerp_compositeexplicitautograd_dispatch.h,sha256=_5gPRiWvNozv3H7xQnCheo8qEkU5fOakIMXvRzJoTkk,1214 +torch/include/ATen/ops/_foreach_lerp_cpu_dispatch.h,sha256=f6-lJTzJoRZeCv6Db7HqdqncYTFBzH0cwNsZLi8U5x0,1116 +torch/include/ATen/ops/_foreach_lerp_cuda_dispatch.h,sha256=51JMl2TR8pMMlKU8riGR7UqL61oZbeaRuQC9dn7DVa8,1118 +torch/include/ATen/ops/_foreach_lerp_native.h,sha256=D10vwTmBnRVNVjzUvqOa5vwGuEqNfcfDkvP6taSvcq0,1750 +torch/include/ATen/ops/_foreach_lerp_ops.h,sha256=2GAKYMZvcFgVNUPw3KzpqeXFSLdQUhpzhmlyH3U9DAQ,5021 +torch/include/ATen/ops/_foreach_lgamma.h,sha256=Vhelis1pXrJD7_PfQb6-0TLa1UJBZmHbWFVzRLj3P0U,1249 +torch/include/ATen/ops/_foreach_lgamma_compositeexplicitautograd_dispatch.h,sha256=TtBRCEN893CI83TjNC_aj3InwJxBlP9FWu2_KrFw4Ac,865 +torch/include/ATen/ops/_foreach_lgamma_cpu_dispatch.h,sha256=X-ZQKqkVfPOTdaB5P1RrRHGrcPAvMemAYO-SDQTlRGE,794 +torch/include/ATen/ops/_foreach_lgamma_cuda_dispatch.h,sha256=8N9U0VyHcVjoHtuRQsaKxTTzvIef3uZ4qNjcg_Tly4w,796 +torch/include/ATen/ops/_foreach_lgamma_native.h,sha256=JHXCs_FWZ5v2mMtMwkEM4cCUOdf5ka7zLWbGLe6ndaA,810 +torch/include/ATen/ops/_foreach_lgamma_ops.h,sha256=d35TE_PNawqSDLWrF4Y0Cg5mLVsws7mnfmwQqCBdPms,2182 +torch/include/ATen/ops/_foreach_log.h,sha256=iuENvOYwycII7abHhqfdHVDNVuF-na_zWUn7EK0yzck,1210 +torch/include/ATen/ops/_foreach_log10.h,sha256=qyIgiXxl3PdzgqbmSurEU0IEEViQzyXrnAhxBNa55Ac,1236 +torch/include/ATen/ops/_foreach_log10_compositeexplicitautograd_dispatch.h,sha256=2oXuK9mYtO3nVPHwIJDohr5tfbproZUwtjLhUHw30Ww,863 +torch/include/ATen/ops/_foreach_log10_cpu_dispatch.h,sha256=V2BgvhZg7a_eQnb5j8LCu-dNX5d8PhPBGO9cHaUTWcQ,792 +torch/include/ATen/ops/_foreach_log10_cuda_dispatch.h,sha256=vuuyxCjXUYlHAM9JE3KOKRv7aLqAuINTDBf58pSfXS4,794 +torch/include/ATen/ops/_foreach_log10_native.h,sha256=l0U4XNWs6hBHeYYu3SWpuMxLBkVhNntyUaleGKIEAH0,805 +torch/include/ATen/ops/_foreach_log10_ops.h,sha256=320j3AsE3y9dHsz3Esesw-VyQrv3c_0mdevy-hHvVfw,2173 +torch/include/ATen/ops/_foreach_log1p.h,sha256=bC2d1iVmBF-A_ZLuu-340n9HNAx9KDZyQvwOiJhuISg,1236 +torch/include/ATen/ops/_foreach_log1p_compositeexplicitautograd_dispatch.h,sha256=9wbaYVbTugcXwXMYgxljVu8dqO1TCeC-KYwG9naIV7k,863 +torch/include/ATen/ops/_foreach_log1p_cpu_dispatch.h,sha256=w0jOyJg746cA7rsc_loDSkZF2bzhyLJ6dEUIssRDr5M,792 +torch/include/ATen/ops/_foreach_log1p_cuda_dispatch.h,sha256=eJGg9QKhLOU6lTcUwbFci09U7R8m2u1rIhjf_wlC9fk,794 +torch/include/ATen/ops/_foreach_log1p_native.h,sha256=LcEzgieBaXaJb9tYf7WRGvr-991TPNGMcBnv7eSaP4o,805 +torch/include/ATen/ops/_foreach_log1p_ops.h,sha256=5B0surp5W0PRpRIBzkoQBMy1JxxxSjUQn2GtKEpOSB4,2173 +torch/include/ATen/ops/_foreach_log2.h,sha256=dpnVK8bALYsL_KaqDCqhVbIXDLqAtugJnccZ0Q-z2xE,1223 +torch/include/ATen/ops/_foreach_log2_compositeexplicitautograd_dispatch.h,sha256=wsJMOlakHvYkH9i-MV004Oi6IK10O-39xyw6LIngxnI,861 +torch/include/ATen/ops/_foreach_log2_cpu_dispatch.h,sha256=z-Aq-IeQmGmygaR_VZDT59cMgJQ2t0WO9y382LAXK2A,790 +torch/include/ATen/ops/_foreach_log2_cuda_dispatch.h,sha256=oOUXvy7zsR-xVGIya-T5mYfdE_VcwwFksrPBIb1VzhY,792 +torch/include/ATen/ops/_foreach_log2_native.h,sha256=C44RmLk1pRfAdx06IudPLh2h7Xetb0vz6QUlfM1DfLQ,800 +torch/include/ATen/ops/_foreach_log2_ops.h,sha256=XbVINpE8g7MlxhwyCn6o0DlNnCdbAjYgewrGbjC32Xw,2164 +torch/include/ATen/ops/_foreach_log_compositeexplicitautograd_dispatch.h,sha256=iOiHKKnX0qf4xAgQrSwlko8eAw50O3AJ5DA6-Arzkbc,859 +torch/include/ATen/ops/_foreach_log_cpu_dispatch.h,sha256=7ZlYl0QYxcftqKLIdMzHS2ld2emCxKfpYcAJbvcYNBg,788 +torch/include/ATen/ops/_foreach_log_cuda_dispatch.h,sha256=O7Cgtxe9NkYqZRutywEMbRqxvKUpQtikji0HI-55X7g,790 +torch/include/ATen/ops/_foreach_log_native.h,sha256=yFjgI-EDjxwbosYhhoePpugeq57HrMSw-na3-dMAlfQ,795 +torch/include/ATen/ops/_foreach_log_ops.h,sha256=YbcSr87EdP1cP0yI81fIIaECsdLeZ8VNcc5AQo4sXm0,2155 +torch/include/ATen/ops/_foreach_maximum.h,sha256=74pqsMQQX2pmxlMfcA7H36CkdHAAowFNo2M6nRMUIM8,3594 +torch/include/ATen/ops/_foreach_maximum_compositeexplicitautograd_dispatch.h,sha256=I5QgF8KIIb1kH3wzl_dr0MPhZE-Zk55z_CXMBE0vTrU,1347 +torch/include/ATen/ops/_foreach_maximum_cpu_dispatch.h,sha256=iyi6QalmHxxWFoNzUgPfZROPsj0rXziuDbkiHVAf4xs,1222 +torch/include/ATen/ops/_foreach_maximum_cuda_dispatch.h,sha256=RxKOWS1pl8YpZ34yZsK8_P_qffiTKHL7AFPzIVvscNg,1224 +torch/include/ATen/ops/_foreach_maximum_native.h,sha256=7i6PtxU43xSf11xSAaU7eT4Ok9aoJAJIIXQgv1awgN8,2217 +torch/include/ATen/ops/_foreach_maximum_ops.h,sha256=Gv12vpDpy44gbOgSQI5aURcqnsA7JrLWgaEaFOE4EmI,6737 +torch/include/ATen/ops/_foreach_minimum.h,sha256=0drqf9ZipFTyR01veb-EPRSZ64M-dY_cU15t1NSf4ZY,3594 +torch/include/ATen/ops/_foreach_minimum_compositeexplicitautograd_dispatch.h,sha256=mIgXu1YCVEnEyU2afbOkXc03QZ7W2YYr85LgQAaNFes,1347 +torch/include/ATen/ops/_foreach_minimum_cpu_dispatch.h,sha256=pAOs7d-uWx-U6y8OrSwKyiKf8K0oW0sKenY8JSwptmg,1222 +torch/include/ATen/ops/_foreach_minimum_cuda_dispatch.h,sha256=qP4oz43SebofPXOZP2DXigz8hqBkRmaMquXE8hTMuKY,1224 +torch/include/ATen/ops/_foreach_minimum_native.h,sha256=YLmBYThyxMQ2_wofAUcDcXIfJfz2S-9tUaL9pwAU1PI,2217 +torch/include/ATen/ops/_foreach_minimum_ops.h,sha256=ji8xaolfTnCE6xV4SIUxlCEhwrRT08FUWcFjCMk8WZU,6737 +torch/include/ATen/ops/_foreach_mul.h,sha256=Yxe3UB3exCxKB9LgyroS6OU7lpyt852Kl2lmh2ro8gg,4404 +torch/include/ATen/ops/_foreach_mul_compositeexplicitautograd_dispatch.h,sha256=urb5ZZXgRH6xeWFAvQJC3VA05FaZLFX-zMEgAKzNbls,1524 +torch/include/ATen/ops/_foreach_mul_cpu_dispatch.h,sha256=eYfsWSzBDom5HKyOpt6xuB5Q54mOP1t0iYYCWzKZyyU,1372 +torch/include/ATen/ops/_foreach_mul_cuda_dispatch.h,sha256=Di0b-BfdiK3lI1QxWtykED3EGhm8AX6EnBFCi8EK1X8,1374 +torch/include/ATen/ops/_foreach_mul_native.h,sha256=k1_qfP15YdnsXjKR5utfzYrcXrno905-ShlMPMlBKY8,2688 +torch/include/ATen/ops/_foreach_mul_ops.h,sha256=9OU12rEs-9ufGDiz-uLj5E8WJoHYudBv-xBgw4X9ZPw,8669 +torch/include/ATen/ops/_foreach_neg.h,sha256=tjY2d4Vay2ExJh0NXI3YDhAu0WQaJDxJQJDDcmqaY3s,1210 +torch/include/ATen/ops/_foreach_neg_compositeexplicitautograd_dispatch.h,sha256=KgW8o2FqctPsXfzI1l9Umf4tc4Aq2ReSFcT7thb_gqE,859 +torch/include/ATen/ops/_foreach_neg_cpu_dispatch.h,sha256=cXDlvBfIo7t45TbIMD__f-0UzWjPT2FLouYc__Tz2Xk,788 +torch/include/ATen/ops/_foreach_neg_cuda_dispatch.h,sha256=LNirobRyRHGw6PbIqMf_mKBUAUSZJSjAGDRmRVBBRS4,790 +torch/include/ATen/ops/_foreach_neg_native.h,sha256=vVY3b0vwgtj0JJtlJolYNPUui9uQjOkGOiAJL8lR1KM,795 +torch/include/ATen/ops/_foreach_neg_ops.h,sha256=xOphbFt9L9RDfjotxpYKakZw14kytlpc_MylONV4IqE,2155 +torch/include/ATen/ops/_foreach_norm.h,sha256=vBqfnqwW3p-2hVycMvgGV_BFYucCkzlGr8h66_CHiFw,1247 +torch/include/ATen/ops/_foreach_norm_compositeexplicitautograd_dispatch.h,sha256=rmlmHUqxs7S-cm3s6nZJe9eA8JrasBFhEIP8dC8_VJE,911 +torch/include/ATen/ops/_foreach_norm_cpu_dispatch.h,sha256=JUCXOfXIAwvIq_46H3anm04HSP8ykCopnC5XQbCQ5sE,764 +torch/include/ATen/ops/_foreach_norm_cuda_dispatch.h,sha256=smysiNglNlRFYHc4ddY7tFHKVBx7WC9rJkuRGfSDUvo,766 +torch/include/ATen/ops/_foreach_norm_native.h,sha256=6nyw8ZOfeTT29onG6zzxg4dGsWSDlIgKuthsFkw0HA0,757 +torch/include/ATen/ops/_foreach_norm_ops.h,sha256=CcUnVMw97ylO1aL-tMnL5Mf0kisjynUZsbMsMhXu_Fk,1840 +torch/include/ATen/ops/_foreach_pow.h,sha256=Esr0T1wcyE3o5iKng5wCHufs1mFarMowOJoAKqpj5ak,3774 +torch/include/ATen/ops/_foreach_pow_compositeexplicitautograd_dispatch.h,sha256=M54HoGzBmJjyNy8tZ3S29HPj5z4IkA9gJZS6bcBvPvw,1335 +torch/include/ATen/ops/_foreach_pow_cpu_dispatch.h,sha256=pMV7qfkgWtZQLHtohWEET370lTImve28wI0URcbXvR0,1310 +torch/include/ATen/ops/_foreach_pow_cuda_dispatch.h,sha256=UtCRbPpjeMg-XjAVX4cTxmCUF6fZagEnaa1GkiTl53E,1312 +torch/include/ATen/ops/_foreach_pow_native.h,sha256=7-K0AwBfKfSvsDNCxYC9mWzu3bR5K9SERSG9vkvoKmQ,2409 +torch/include/ATen/ops/_foreach_pow_ops.h,sha256=II2PwkZ0TbBwhmD7H-bEAn8kZIbxz2jHu4P16RmKUSw,7413 +torch/include/ATen/ops/_foreach_reciprocal.h,sha256=aSKrdUC0VznKCBdlV2M3hPTA0oIObY0fCPQUROp0Ay4,1301 +torch/include/ATen/ops/_foreach_reciprocal_compositeexplicitautograd_dispatch.h,sha256=9qM163WBb_St_UIUVNs76Tbi9KXUHmWgZ4D245yGYvw,873 +torch/include/ATen/ops/_foreach_reciprocal_cpu_dispatch.h,sha256=qYUVjCLPsDzroPpActrvmfP9CiUopPK_hNdZACWVoIw,802 +torch/include/ATen/ops/_foreach_reciprocal_cuda_dispatch.h,sha256=wdyYLOJ0AOcxTxYEmb0AYmHZK-dwx6jc0sAibvlp43s,804 +torch/include/ATen/ops/_foreach_reciprocal_native.h,sha256=WAVJ69eHeVPbpPKUrsi10o7KfjMi8W7hBWkPtvExK2w,830 +torch/include/ATen/ops/_foreach_reciprocal_ops.h,sha256=BAjRL2cpkyL54knTp6VwAFgAyH8W29SOkMWUGayiL_8,2218 +torch/include/ATen/ops/_foreach_round.h,sha256=OliUQtdG2tdZDJYmW_wqU4eZfAE2ydZdfr5FtLwyS0o,1236 +torch/include/ATen/ops/_foreach_round_compositeexplicitautograd_dispatch.h,sha256=omMOVjFjhdYFh1iEcTYlglB8qhLTSgJsiI8Mk0KjYY0,863 +torch/include/ATen/ops/_foreach_round_cpu_dispatch.h,sha256=pl69NffB2DlY-3uenJ_7fp5wTbT-v3w_mt-V-sODaok,792 +torch/include/ATen/ops/_foreach_round_cuda_dispatch.h,sha256=fCNyh3eTaIc43aXrhMYwL4VUFRVgcHvtpc9vY84gQ5s,794 +torch/include/ATen/ops/_foreach_round_native.h,sha256=v5IO81mSMYmZDnpVsHIwbJkDn-XwJB2pNo1qPmb3dPQ,805 +torch/include/ATen/ops/_foreach_round_ops.h,sha256=Jvs1RnbYyAhHDMVu1P6LFL2wTn3BclyZeNkHk6whuh4,2173 +torch/include/ATen/ops/_foreach_sigmoid.h,sha256=j1ytFDkXtC6DQmkxjBRvuU0jHp7FcMn0mwY3U2EFOcA,1262 +torch/include/ATen/ops/_foreach_sigmoid_compositeexplicitautograd_dispatch.h,sha256=ylXUwFkvfLaRGCGj2ck-h49Raa5sEguwK6CkaTf_fSQ,867 +torch/include/ATen/ops/_foreach_sigmoid_cpu_dispatch.h,sha256=iACNYEs6w6BzddcR9Tfwcb0p23b3OQ04sK0DDUgy3sA,796 +torch/include/ATen/ops/_foreach_sigmoid_cuda_dispatch.h,sha256=dEwMO5XnsNuy8JLKQ4luueKkJS451T3oCTRZUp_NWp8,798 +torch/include/ATen/ops/_foreach_sigmoid_native.h,sha256=mxlgnIfQo_7LBvIoJLwPN9Z6ZK1IRwGSUND_JQnRYNA,815 +torch/include/ATen/ops/_foreach_sigmoid_ops.h,sha256=ScXoAjZsuG0HWr-CBj0Zj-hKGDQL358JICX3TnoYK0Q,2191 +torch/include/ATen/ops/_foreach_sign.h,sha256=-1zHcLCTmGr9KQZQu2G2ylTLZ-zTw6KQ1OU9DzE6zW8,1223 +torch/include/ATen/ops/_foreach_sign_compositeexplicitautograd_dispatch.h,sha256=uTgcgvAo3mE6lIuMUrR2_1aHBbJYV6OzNsTu7PwAMm4,861 +torch/include/ATen/ops/_foreach_sign_cpu_dispatch.h,sha256=vuZIH7F6y44rNkp78IiAJi4oDH2iRZDEUB4AV1Af3Sw,790 +torch/include/ATen/ops/_foreach_sign_cuda_dispatch.h,sha256=i7B1Z15lVhpkr2dtNit6VYZ2ltDw9aFZc0UbjBVSlMY,792 +torch/include/ATen/ops/_foreach_sign_native.h,sha256=4PhAbhbyWLXHqkGIu4S-vDmsdrnaTuCLsHtz39XvzQU,800 +torch/include/ATen/ops/_foreach_sign_ops.h,sha256=hie-WhT77cWFHSTKIsfUMDhwAMgatxyzD5LE7NI9t4g,2164 +torch/include/ATen/ops/_foreach_sin.h,sha256=42bt6aEC54GoDT9XR9oJU1l97cKoia8FS18jVDAHmwM,1210 +torch/include/ATen/ops/_foreach_sin_compositeexplicitautograd_dispatch.h,sha256=ti6Vd-SVWZcJvhY7F3Fe5SJuNfbTXsY6L6GP-2nCgmo,859 +torch/include/ATen/ops/_foreach_sin_cpu_dispatch.h,sha256=ljbEQdd9zBE4jgjl8zEx9HZlmoHiax5MdGPNdrkuT1w,788 +torch/include/ATen/ops/_foreach_sin_cuda_dispatch.h,sha256=GkuQzGOsrNLYUe1Gq9_OKJjzayi1k_wOFxJGIIjAiW8,790 +torch/include/ATen/ops/_foreach_sin_native.h,sha256=6tL8iS-2_rjejs_yL1Q4nLSq1P-XEA3TAKdZfSnCiY8,795 +torch/include/ATen/ops/_foreach_sin_ops.h,sha256=tjpT63pTDQcvFqo-hqSD0rlBZTjMSISj4sJWd3ZoCEM,2155 +torch/include/ATen/ops/_foreach_sinh.h,sha256=UA8ou_mysASxwd2ou_ayVaLvKUnEir51MY50LTSON3I,1223 +torch/include/ATen/ops/_foreach_sinh_compositeexplicitautograd_dispatch.h,sha256=3ECVmQ2JBvwSL5oNAd6HT4SCsKi5zRZo38V-ABjuDpI,861 +torch/include/ATen/ops/_foreach_sinh_cpu_dispatch.h,sha256=FFEqC4ENpeRFF_f99nT1UlH63N2-UYlOm2dmUj1osyg,790 +torch/include/ATen/ops/_foreach_sinh_cuda_dispatch.h,sha256=Ds_xzRCY9t6plr2vnX_dWl__guO_L4z_gWq_Lpj6mR0,792 +torch/include/ATen/ops/_foreach_sinh_native.h,sha256=rl6hdDkgqnURR7ejGh9b1kIBE-qKST9dyoHGBKAzCKg,800 +torch/include/ATen/ops/_foreach_sinh_ops.h,sha256=Pz_qtQ20Xc7hACEvbk2oNQDEKYwbg29at54bhcAXhh4,2164 +torch/include/ATen/ops/_foreach_sqrt.h,sha256=gMsGClUTAMJ03A-Lu2j9bCRfQMLxhMnSbcl4woUIrrQ,1223 +torch/include/ATen/ops/_foreach_sqrt_compositeexplicitautograd_dispatch.h,sha256=O_BbStZpihRMSJYD_vCnEj6dKdBAon0tjJzH0a_w5UM,861 +torch/include/ATen/ops/_foreach_sqrt_cpu_dispatch.h,sha256=Tq1kJ-DrejeHCORl0RhLx0GF7XUIlLKWzao7sdyKAz0,790 +torch/include/ATen/ops/_foreach_sqrt_cuda_dispatch.h,sha256=R2I313_FMJORMUQMYqSkhx40Z6FT8OQdnUaBvM9w25g,792 +torch/include/ATen/ops/_foreach_sqrt_native.h,sha256=HkjpsiJEI1svh2PlXPMlVfpBVJPFzFlqEfT-MJjex_c,800 +torch/include/ATen/ops/_foreach_sqrt_ops.h,sha256=fV6j3dLXgvjr3O2E30jA6TUXJEJqWrRVgeVBb5JNmRI,2164 +torch/include/ATen/ops/_foreach_sub.h,sha256=QuTdWE4ch3anzn4nujSoXfX4Z263yfUr80tClnO0QWI,3654 +torch/include/ATen/ops/_foreach_sub_compositeexplicitautograd_dispatch.h,sha256=71AxTK3vpkBqq-Houi_aMTRMy1dQNm5TU9PcjPr9YSs,1377 +torch/include/ATen/ops/_foreach_sub_cpu_dispatch.h,sha256=fpYtawLLrFbHCogat44EfhbU2A_fko1FONS59RRa33s,1254 +torch/include/ATen/ops/_foreach_sub_cuda_dispatch.h,sha256=clpGRsPk-bTft2ZLnilk2HuRI_1tsgszrVyToCH8rO0,1256 +torch/include/ATen/ops/_foreach_sub_native.h,sha256=anWgjUye3UXmy99o_BLTzPSOPwOqErAM1eHT1A_ru_U,2271 +torch/include/ATen/ops/_foreach_sub_ops.h,sha256=j5PkyohR3ImR9pJFVu-ATOgT0HTVQ8ovPzK2RMj7T5U,6899 +torch/include/ATen/ops/_foreach_tan.h,sha256=DtmZXVY-oJSPMxiNcV3vgwRSawKkbvha39W5FrD7N1s,1210 +torch/include/ATen/ops/_foreach_tan_compositeexplicitautograd_dispatch.h,sha256=nyITMdD29d6bjKMgEbjChXmnUCgGmR8wiv1k4U3w2Q4,859 +torch/include/ATen/ops/_foreach_tan_cpu_dispatch.h,sha256=M2JBO9rxKKKgcovVtHjByZ9gV3s9LO-PTX4YOyqaiho,788 +torch/include/ATen/ops/_foreach_tan_cuda_dispatch.h,sha256=r9_M7nVUJmzWLJHGPPYVbvB5p5Im-7WeMMeYhmZwZiY,790 +torch/include/ATen/ops/_foreach_tan_native.h,sha256=W8vn0Yd40cJeyC_ViUK5Qnh6n4ShztrGwAJId_EL1T0,795 +torch/include/ATen/ops/_foreach_tan_ops.h,sha256=w5yZXgalqkdtvsT2unnu0qIAZEw9vq_qwKLtNGJGjOE,2155 +torch/include/ATen/ops/_foreach_tanh.h,sha256=PHOJwz0weZ8xlvp-Ofb8ZE9-MgoqZ7YCDCyXjjIAWuc,1223 +torch/include/ATen/ops/_foreach_tanh_compositeexplicitautograd_dispatch.h,sha256=tw77eYE7DWjjZ7rSrULhc2vaFXIZ9KxTVcdaP4P1-JU,861 +torch/include/ATen/ops/_foreach_tanh_cpu_dispatch.h,sha256=IkaSyLlWRLIZgPd9zZdR16M3zzsdarRy_DO-_m_AHS8,790 +torch/include/ATen/ops/_foreach_tanh_cuda_dispatch.h,sha256=hT4YelKEv44WsMi9mDhVUJXtAO0oW3ClYnhyHh1yWi4,792 +torch/include/ATen/ops/_foreach_tanh_native.h,sha256=AI3z25b-4OJG-3w4VqrczCn9IujMU74oCNkuoq0YYuU,800 +torch/include/ATen/ops/_foreach_tanh_ops.h,sha256=4ehl2qhf40CO38-jThVp4_rFBDqvEDjjOLZ7sH-oOeM,2164 +torch/include/ATen/ops/_foreach_trunc.h,sha256=zLbEOEyvqLkgwtsTGAStZgtF-6e0RLxRRDkGtgQaCqc,1236 +torch/include/ATen/ops/_foreach_trunc_compositeexplicitautograd_dispatch.h,sha256=XxRXOO-UBGlIqIWD0_dRCMdWOoqT_HRsNxFVpoLlpSM,863 +torch/include/ATen/ops/_foreach_trunc_cpu_dispatch.h,sha256=aab8Hg34K9IcG8BmKqKHSHbHAKKE6I4s-dFfBkJdSbc,792 +torch/include/ATen/ops/_foreach_trunc_cuda_dispatch.h,sha256=9J3JZTWwXdi82irP1-EXfOK7OL_dzzEwzeFO7LUxxW4,794 +torch/include/ATen/ops/_foreach_trunc_native.h,sha256=n9ZqoMI8cr93x1d4tJ_8JSNFQz_44oOK76sbyHGFXHQ,805 +torch/include/ATen/ops/_foreach_trunc_ops.h,sha256=pbCnpnVShE7zcr0NPpgDqG0LRjhkLYsre3-P8XspMHA,2173 +torch/include/ATen/ops/_foreach_zero.h,sha256=CT7OAqZWYqEUySzFHuaCPdphLvK_Dp1VCbLV0ELbph0,1232 +torch/include/ATen/ops/_foreach_zero_compositeexplicitautograd_dispatch.h,sha256=L1ul6OmlLSWGZDs-CLd3a_CNS98p3BhB1NGlbnQcWrk,933 +torch/include/ATen/ops/_foreach_zero_cpu_dispatch.h,sha256=BBOdSbbdJGcAK3IVOKEFT_Xira4Kc-6qTM4yhDCvUzI,718 +torch/include/ATen/ops/_foreach_zero_cuda_dispatch.h,sha256=xiDyMl4EnnJkOHF8FSTS6_4XN4yiehDDCZomxVXr268,720 +torch/include/ATen/ops/_foreach_zero_native.h,sha256=2JTKQMqcef-pvqZacivTjEkk2lJw3CY7hXjc1bgNSvM,706 +torch/include/ATen/ops/_foreach_zero_ops.h,sha256=AW5AukePRmcGN1_UsEF3442aqSiMdWNquQhEdcUTINA,2173 +torch/include/ATen/ops/_functional_assert_async.h,sha256=RBpPi00ZeN9oZi5-2IewHMRL7nT0lwktnkboiwP1OEM,821 +torch/include/ATen/ops/_functional_assert_async_cpu_dispatch.h,sha256=ot74CjLgr5VdbrT_dqIt5KVRcc5VP-Tqt4HGMsAXT1A,797 +torch/include/ATen/ops/_functional_assert_async_native.h,sha256=qDB1WV27Fwv0ybzTQWHHxwI0fYJcFzPRmZB690It75Q,572 +torch/include/ATen/ops/_functional_assert_async_ops.h,sha256=F_UgI8uZazR5ogIA_6Yi-txDkD-cux-fXpQ3P8ObaIU,1222 +torch/include/ATen/ops/_functional_sym_constrain_range.h,sha256=EwhVby20AQekyWSLAdWDzsfuTpzuYmNa8kw0WD24iMs,870 +torch/include/ATen/ops/_functional_sym_constrain_range_compositeexplicitautograd_dispatch.h,sha256=CwN6p_9qUOwntB_MavePjQgoDcfyklPl7iL9pMjGumM,875 +torch/include/ATen/ops/_functional_sym_constrain_range_for_size.h,sha256=2f_b3VVbxE4N2UnIqoCW5EM9hiEwQtfA5tbV75XnMJY,906 +torch/include/ATen/ops/_functional_sym_constrain_range_for_size_compositeexplicitautograd_dispatch.h,sha256=ILGuNh0UNC2i7aMAnhp0XD5tQI4DBqIJODRRwKxL9Yc,884 +torch/include/ATen/ops/_functional_sym_constrain_range_for_size_native.h,sha256=fZtJ2rEEtP1mEQCed441_7hA_5_QWtzbIiV_wvSYYts,607 +torch/include/ATen/ops/_functional_sym_constrain_range_for_size_ops.h,sha256=TPdsRbygE_4jo3cIlvS2jf2Y8DhVclDR8V-Pbsn74Bg,1347 +torch/include/ATen/ops/_functional_sym_constrain_range_native.h,sha256=IjDUo1TfCx6gXF_Nw7jzaCYvF7ZiD5RQ_K-G4p2uyQ4,598 +torch/include/ATen/ops/_functional_sym_constrain_range_ops.h,sha256=48rva8nb7Q0AS5PahRK-aZdFzcb0nDKGsGMz_rXcUeM,1320 +torch/include/ATen/ops/_fused_adam.h,sha256=XzEIRb1ij062HPXwKx2GAM_mHbfyjaIXOibavgRDXf0,8359 +torch/include/ATen/ops/_fused_adam_compositeexplicitautograd_dispatch.h,sha256=EcMqtxQCh018QZYHw_asVlkv0qNO47ooFW7WuX1a7_Y,3402 +torch/include/ATen/ops/_fused_adam_cuda_dispatch.h,sha256=aMrscdt5FWZksGZlseaxATVWHNgbQ4PgpKYkyjWo8So,1446 +torch/include/ATen/ops/_fused_adam_native.h,sha256=oNYXIBL7gEcMZbH6w7v1AUAFH9AaONLTnh9xrJ03Rv8,3111 +torch/include/ATen/ops/_fused_adam_ops.h,sha256=1t0FLRjBnNocA7uws7I-yH54W2lFqPIvLa25cYafkfo,11697 +torch/include/ATen/ops/_fused_adamw.h,sha256=c6rKceyPaXXb-_UQBOztT0X311lVWDdiZ6tE6GVSTpo,8384 +torch/include/ATen/ops/_fused_adamw_compositeexplicitautograd_dispatch.h,sha256=ijpjONzIGNCEtyHDZauVAl92HYJBkVf7e4vdEqMSHKk,3408 +torch/include/ATen/ops/_fused_adamw_cuda_dispatch.h,sha256=YnIpNhfyLywseKVEcAqKUB2WTICzbiLPfqEFKRKvGd4,1448 +torch/include/ATen/ops/_fused_adamw_native.h,sha256=p-kF6p86HKx7-SgZiL_7bpmFyd1o3U6_wCeMC8gM5GM,3117 +torch/include/ATen/ops/_fused_adamw_ops.h,sha256=8xsmqw6R1mGbHGNlU7hpT9PHNHwkM5vbo3lNabaMLbQ,11715 +torch/include/ATen/ops/_fused_dropout.h,sha256=7J4UVL0jdC5WTGkuRu5s2IpbePBa8tWrSFH3sghPZgY,1628 +torch/include/ATen/ops/_fused_dropout_compositeexplicitautograd_dispatch.h,sha256=VeT2rYvPhSB0SSRlE1_xyl9P6RkJf4vVMqMSIfkZmbE,1090 +torch/include/ATen/ops/_fused_dropout_cuda_dispatch.h,sha256=9OrJzFjZMPZ6v0bRPeU3YkM4N7djT5An-7OntWf4niE,818 +torch/include/ATen/ops/_fused_dropout_native.h,sha256=xrTJtWiE_13O6nzaIj5xK06blRIpMvb4Ut7qbzvltGE,770 +torch/include/ATen/ops/_fused_dropout_ops.h,sha256=o0SjZg7p8UCe22GitZjzFXQvre2QlbyBlcEhQsQJgdA,2238 +torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper.h,sha256=FwNcgEADJSyeW-yM_XUc49QZIwmne_44K2hdldNOzMU,4763 +torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_compositeexplicitautograd_dispatch.h,sha256=tBd5nwqRPK_YcyNF1-nW3MwbDw00wS3ggMbTyPAWjH0,2085 +torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_cpu_dispatch.h,sha256=72juH36Kwx_GmhJFveNm9GFakNipCNNOVaNfk1vKu7g,1071 +torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_cuda_dispatch.h,sha256=3I6zOASUf_AUFl_XBQpQC6syfdXhM6213Dfq2-akork,1073 +torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_native.h,sha256=6cQnAFTIx4hmZiFfrr0vbj0NR9Auk46vpW2-gkMSUkQ,2175 +torch/include/ATen/ops/_fused_moving_avg_obs_fq_helper_ops.h,sha256=-qHAA6TLbDHJRDV1KeXhTt47Y-NYnPrZzIQh7Blk88k,5950 +torch/include/ATen/ops/_fused_sdp_choice.h,sha256=rjoCmHSASUnX32ozuxr-wQnGM9-djGepBNvLf90tM_I,1017 +torch/include/ATen/ops/_fused_sdp_choice_cpu_dispatch.h,sha256=DThCfd5h0Ab6MjH1a_BuebvT6n0rFBdR6IwvrdUTILg,913 +torch/include/ATen/ops/_fused_sdp_choice_cuda_dispatch.h,sha256=GkQXFQEbxd4iy1axbyXIYjB73gaMwwxVmRd9sMjQwVw,915 +torch/include/ATen/ops/_fused_sdp_choice_meta_dispatch.h,sha256=WVcDMy_2D1G2-3--a8OJ_kKvAzmPN0NCl34a2eN1OUc,915 +torch/include/ATen/ops/_fused_sdp_choice_native.h,sha256=QbUFL-hc5pn-99ty487Ij_JDS5JfWIPacyRBuV-hpDc,1188 +torch/include/ATen/ops/_fused_sdp_choice_ops.h,sha256=3nFgEu9xnVC4ruowZ8C_7SZsvcBLCjuVktrz1cB_Uc4,1534 +torch/include/ATen/ops/_fw_primal.h,sha256=wbUXfSDo6Onjb2cwvi8_gk9A5W3VVWjyuk8APQFZY3Y,495 +torch/include/ATen/ops/_fw_primal_compositeexplicitautograd_dispatch.h,sha256=NXQhFZcOOWc2XBL77CMAxQ8vOtxfeysFHmPttB2p8ig,783 +torch/include/ATen/ops/_fw_primal_copy.h,sha256=6UPe_bbGQwizliN2lCRgWJQlehls6WdQHQyNzbijMLU,1204 +torch/include/ATen/ops/_fw_primal_copy_compositeexplicitautograd_dispatch.h,sha256=lATcwWFhcyj-_zQS-09IQxQMTYUIxYv55Oyblg55m0k,915 +torch/include/ATen/ops/_fw_primal_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=E1jl5KdNilfGNuQgYiezT0ISLkd1RcPptxbL_vgFcqM,814 +torch/include/ATen/ops/_fw_primal_copy_native.h,sha256=cOOA91KP1NEyBu4itCHQeLoXjnEgL-Scr9gI-KyzdyE,613 +torch/include/ATen/ops/_fw_primal_copy_ops.h,sha256=-ahcisTRZ4snXodEtQhOPO0G-hwSBzFDgON8NOA6LOE,1744 +torch/include/ATen/ops/_fw_primal_native.h,sha256=7MiWJjXXWfY0QguelxKN5VTw_EwhRVtquGaXcYAvKOE,506 +torch/include/ATen/ops/_fw_primal_ops.h,sha256=FXyRwaJ8KTwoUMaSphA719lATPfrMtCWJLLygyXe6Kw,1035 +torch/include/ATen/ops/_gather_sparse_backward.h,sha256=7uLw-OrN0dclTBJW-vZKBAjIlRAtnmSYZjZdzX1l5tA,811 +torch/include/ATen/ops/_gather_sparse_backward_compositeimplicitautograd_dispatch.h,sha256=t54YLE3sVhaFbLKLPm5y2uR8ed1-eSvjClTF58tsjGQ,845 +torch/include/ATen/ops/_gather_sparse_backward_native.h,sha256=8MibZwZQmlX5GGwFAES7A-MdhMIhYC4rNnfwIyQgf-8,568 +torch/include/ATen/ops/_gather_sparse_backward_ops.h,sha256=dWj49Q0our4k4SGCk27OSrTkjXPmcbECGxy-4zwbJR4,1231 +torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback.h,sha256=99N-t4nLW4uW_ODfkZg94W-o9DlVnxjsA4xgr6IdNbM,1929 +torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward.h,sha256=YCI7-6HpXkbchjP4c51NdzOvjRogKwo4AEb_0SqU23c,1081 +torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_compositeimplicitautograd_dispatch.h,sha256=0S7kWiPEKRmi0iS8JQ3K5TChzSpZNhAm1mjyXQgaUT8,949 +torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_native.h,sha256=5OvV5KLZA_eUUeoT5pbpzGBImXuvCa5hXSOjuKpjZ-0,672 +torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_backward_ops.h,sha256=-8P0wwwuaNAjRJP-ssMm15Cm-qr3r2AzdbVE2Nt4Mh8,1564 +torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_compositeexplicitautograd_dispatch.h,sha256=RNJ5ldvNJNBMZ6RcgTfpPIoIjCoBVAF3X9TPiz7JjpY,1278 +torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_native.h,sha256=Mt5e4l94RCKbXI5mEGttZxm-VGy04n6CL9CflzWakj0,803 +torch/include/ATen/ops/_grid_sampler_2d_cpu_fallback_ops.h,sha256=KuViWyZWvkInJKCmc-4V1KzXs93c4bbrY9BDfEp7T9A,2352 +torch/include/ATen/ops/_has_compatible_shallow_copy_type.h,sha256=4f6UzockRX1C2HY5z9B24OLuMBa2uzCLr5SFnAPPU1U,769 +torch/include/ATen/ops/_has_compatible_shallow_copy_type_compositeimplicitautograd_dispatch.h,sha256=2xdv2qflbXPUttIRc55S8s2MotOCl0vLyftGJ5zbOWg,810 +torch/include/ATen/ops/_has_compatible_shallow_copy_type_native.h,sha256=WrVjbkfB5D7UIKtOJTYKG5QJ1F6z3b28dEGFu_OnMpM,533 +torch/include/ATen/ops/_has_compatible_shallow_copy_type_ops.h,sha256=AHx5f5Gw84e6bIjFaFns67u2qIjTRkSVIXnI3NmFnPs,1111 +torch/include/ATen/ops/_has_same_storage_numel.h,sha256=MiWNU-KMnSwHW5dziKKWGZ8YNjMV0BYpd2WqxPV87I8,732 +torch/include/ATen/ops/_has_same_storage_numel_compositeexplicitautograd_dispatch.h,sha256=2KsHY-jtYgiEkqUzRXGTD-UuQAasT2xh3VJnh-Y5UmM,801 +torch/include/ATen/ops/_has_same_storage_numel_native.h,sha256=TI1797wrMUYgWSBnEzOmHZSJiZ5u4FlW8ysKxKaK51g,524 +torch/include/ATen/ops/_has_same_storage_numel_ops.h,sha256=DVgjAgTHB5guhSSQR5_CFlKjHwKc_c_GFlah0r6LDes,1084 +torch/include/ATen/ops/_histogramdd_bin_edges.h,sha256=VJZ4tj5JWXWTRzNiv845wWrHcMNPfeOGKhXuT3ja4CY,1890 +torch/include/ATen/ops/_histogramdd_bin_edges_compositeexplicitautograd_dispatch.h,sha256=G2hNASgUToxabuxk387Qx9_YOIXgkuh-02uCEqMVX-g,1151 +torch/include/ATen/ops/_histogramdd_bin_edges_cpu_dispatch.h,sha256=W1THeUHy97D2I8Kj7-TPCAUegDYGoYP0oozD4SCltRg,894 +torch/include/ATen/ops/_histogramdd_bin_edges_native.h,sha256=zJd0LSacgjJGk72dNXKUyabuyQCWrOnqEeX5Ks6NkWg,869 +torch/include/ATen/ops/_histogramdd_bin_edges_ops.h,sha256=KdjhO-7A9oxZ93xZl36aSWksRuXsCBHTcGT_JAF5qQw,2534 +torch/include/ATen/ops/_histogramdd_from_bin_cts.h,sha256=x3BS71z-Mf1sElRdrKoh7_GjAsvwDSufvwG3-FNpVgo,1927 +torch/include/ATen/ops/_histogramdd_from_bin_cts_compositeexplicitautograd_dispatch.h,sha256=gTd4qjOyl9UM174oCjkVcKI7LT-jfE3Tv1PNUmhZ1pI,1169 +torch/include/ATen/ops/_histogramdd_from_bin_cts_cpu_dispatch.h,sha256=MUg6byE72784EIqE6APTbQUSXW2kgWsPlEUrbMmSJ3w,882 +torch/include/ATen/ops/_histogramdd_from_bin_cts_native.h,sha256=ExlwpGOxPN2u-W2Ua03_AgXggP4kFv2buKcvmALml1k,854 +torch/include/ATen/ops/_histogramdd_from_bin_cts_ops.h,sha256=ZMaCT5fgjZeWJLgg52IkSjt3cukkN6b7hEEUJNSbBc4,2529 +torch/include/ATen/ops/_histogramdd_from_bin_tensors.h,sha256=YboJ_IoXzpC8cEkowRUKtdvSUDoc17XaahVKCDy8ih4,1734 +torch/include/ATen/ops/_histogramdd_from_bin_tensors_compositeexplicitautograd_dispatch.h,sha256=noh8bYNKds2yL2nV_DW5EPCDugFMniG1Cb1Ft4Mp1eI,1076 +torch/include/ATen/ops/_histogramdd_from_bin_tensors_cpu_dispatch.h,sha256=uYYFEYzRMmuvKSmrZLTIN07fWA5s1NvhMjPYcKDIgCk,829 +torch/include/ATen/ops/_histogramdd_from_bin_tensors_native.h,sha256=ZFLujhYawma9JxXSlhdW5ytn6mbUvaUiCfeENuhc0CY,757 +torch/include/ATen/ops/_histogramdd_from_bin_tensors_ops.h,sha256=RczERmdEOWsdnCWTfo4w-nu44c9DZJOwYu_ZGjpwoDo,2265 +torch/include/ATen/ops/_index_put_impl.h,sha256=EQu2FHK8yRwor_kYq4nMHu3OwDbuy6T_POqguwiexN8,2206 +torch/include/ATen/ops/_index_put_impl_compositeexplicitautograd_dispatch.h,sha256=y0BFzHYggiCnoEk_nbygfDwtkN-QXzNODyj0l1utSvU,1305 +torch/include/ATen/ops/_index_put_impl_cpu_dispatch.h,sha256=8yZm7DMwQ0vCRq56c9qZslwTaulLNwGma-TR6DBzMl4,849 +torch/include/ATen/ops/_index_put_impl_cuda_dispatch.h,sha256=Gg3zjPKfQl9fe0GCkPmyji9k7fNj8JImV0wYfghuES8,851 +torch/include/ATen/ops/_index_put_impl_meta_dispatch.h,sha256=n9Tdl6DGkbEuOayiWrH8kh-VzxyFgxdahvgveVuqTMU,851 +torch/include/ATen/ops/_index_put_impl_native.h,sha256=GD_5Q0WIqFVRZ8m7BaSBfz4CZ1uiQqwyu4MjPVxodRk,1395 +torch/include/ATen/ops/_index_put_impl_ops.h,sha256=rWGJrRTCryGwsxEUG4oshVoEM7KEWNDgip_zATpig6I,3331 +torch/include/ATen/ops/_indices.h,sha256=sYoJIB4QD9Qjo4lvGtuCXt8IcxWYFnMDpOnc2tIhS9w,493 +torch/include/ATen/ops/_indices_copy.h,sha256=AUF0vAbTIEMdDiTufJduTdhXHn7PLLj12Tkytcw9VIg,1085 +torch/include/ATen/ops/_indices_copy_compositeexplicitautograd_dispatch.h,sha256=jyTTcUBtctnqGmqzumiA_We9NEUuSbtjr-GlS5olODc,881 +torch/include/ATen/ops/_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=7As9eYtRYosbx2LHlxoNmrZkYIbgrc6iUpUEutNA7Zs,797 +torch/include/ATen/ops/_indices_copy_native.h,sha256=ik7lKBRk6w48ls723MXXMB7ZiWVTCVO369YO0CTg-2s,579 +torch/include/ATen/ops/_indices_copy_ops.h,sha256=hPtMuivvSBABZHKoTrMnUNsWBaZ38NLjERgmE84u258,1632 +torch/include/ATen/ops/_indices_native.h,sha256=EJjVIITihp1oCzmdeRZo1sEtIpwvNhkN6MDlLEO7EJI,496 +torch/include/ATen/ops/_indices_ops.h,sha256=WJV-AukaEqphCkxNuEcb_lp13tJ_r_o9JAhw7tgdEio,979 +torch/include/ATen/ops/_int_mm.h,sha256=HCBWyI3QesGu7F4G54iai-eiOcqXp_N_c9S9r2xh-Vo,1157 +torch/include/ATen/ops/_int_mm_cuda_dispatch.h,sha256=iJjZqqVijsGowuCmY8zrbuKbZO8fMLJ0jxK7cX_PHvQ,957 +torch/include/ATen/ops/_int_mm_native.h,sha256=ZdE1Rq1kla2D_WGveyKndyPH4twCQp3hp4K3PvjSUI0,627 +torch/include/ATen/ops/_int_mm_ops.h,sha256=NRFABzdgr0o8-CuaTBFkZSTz6eVPix-hSfXRoxV1WC8,1762 +torch/include/ATen/ops/_is_all_true.h,sha256=-nOZILBRbOO1Qrlz8xOXZgMoU2hAOngzbSMvmK6lSW0,649 +torch/include/ATen/ops/_is_all_true_compositeexplicitautograd_dispatch.h,sha256=cF3R17YPvgyrHCreU1inqg62KpMC3PB48KGkRSHNpEY,770 +torch/include/ATen/ops/_is_all_true_native.h,sha256=aSqQV9YWRm-Sj3OtGUTLWjNauXC7kDtkDPWb-0HFFrY,493 +torch/include/ATen/ops/_is_all_true_ops.h,sha256=pHXirfaKizpEjoDE6gAn2PxR1SuKwj5XVnOg6CKzb-0,985 +torch/include/ATen/ops/_is_any_true.h,sha256=43EjOGTjO3G9Y4DDCBkfyH3MtkJfqpGozszQx91_hCE,649 +torch/include/ATen/ops/_is_any_true_compositeexplicitautograd_dispatch.h,sha256=Ffuv62XoptwkDY-X2MWzJrLWrjrm0Dm1EHbA8QwS5Nk,770 +torch/include/ATen/ops/_is_any_true_native.h,sha256=LAU124vrNyViUxyVOWgCRR0n4gY2ry_MODB3BgmL7Po,493 +torch/include/ATen/ops/_is_any_true_ops.h,sha256=ItKCLbGVLs2eU86tQ0wkcQgOynx0QnKXXnvjIj6pfJs,985 +torch/include/ATen/ops/_is_zerotensor.h,sha256=tq7DA5ZWGcXWR6jyoiIW1hdOxFXdETS2iorOIzRa-D8,660 +torch/include/ATen/ops/_is_zerotensor_compositeimplicitautograd_dispatch.h,sha256=FfbyZJnR2iPS_nbV5pJ0Tqc-uliqX5__GFKpmC6gAp8,766 +torch/include/ATen/ops/_is_zerotensor_native.h,sha256=SA5aboyRYMogFQJ1nI0KHP-uWyiCbV9N-OE-ztU1SuE,489 +torch/include/ATen/ops/_is_zerotensor_ops.h,sha256=ov6i5ur226gCwNXnavx3cw5L_DhfsGpvqIlcrnMi5ks,971 +torch/include/ATen/ops/_linalg_check_errors.h,sha256=4ZMA8695NX8AqA_PpAXqhu5cXnBLJf4zy7dBLvzxTKU,768 +torch/include/ATen/ops/_linalg_check_errors_compositeexplicitautograd_dispatch.h,sha256=Ila6TAxjI4yORIeMU0AaOdS4D1NKKLwkF1KqSlFgFYA,815 +torch/include/ATen/ops/_linalg_check_errors_native.h,sha256=DcBogyUbm-aSylDdKGeSByOQOnKdiP5cWJx011Q8JKU,538 +torch/include/ATen/ops/_linalg_check_errors_ops.h,sha256=Wlld4uQmz6yltd4MY2DU-BiFqcZWcAsn4IBiLtELkqA,1130 +torch/include/ATen/ops/_linalg_det.h,sha256=Jd0pnUdYvok8fEjMI2r04WS3ji0fU71ScHgNAh9baRA,1473 +torch/include/ATen/ops/_linalg_det_compositeexplicitautogradnonfunctional_dispatch.h,sha256=WVjrpZSPqf_pbAlfMdCe-RqVM3pKJCEATFhL8igoqGo,828 +torch/include/ATen/ops/_linalg_det_cpu_dispatch.h,sha256=z_9T-waezr7f5_RXrOIJTWJ4xe3Xkhz8n8zOtZbZINU,1081 +torch/include/ATen/ops/_linalg_det_cuda_dispatch.h,sha256=mwAEh8wiAGNxowNzc6rugiNefKqymhmQgg09VbNvLMc,1083 +torch/include/ATen/ops/_linalg_det_meta.h,sha256=xscwBLvb7_w1HKYCCfvAzoL1U5Tym1_PHFFv-yUlLyA,588 +torch/include/ATen/ops/_linalg_det_meta_dispatch.h,sha256=hihaWL2tAJfTjkOVw6Xu0gr7G1islScG7ba_sjKwJzQ,1083 +torch/include/ATen/ops/_linalg_det_native.h,sha256=sqfWHmb8N5xNuTCc200I9ji9DvK1u7et7aMZYz5A__0,672 +torch/include/ATen/ops/_linalg_det_ops.h,sha256=2tMI2quO0jJjme2jlZo9-9hDFr_UG1Xmhvy9bhe-B54,2064 +torch/include/ATen/ops/_linalg_eigh.h,sha256=OsIlQCzasDRkX41fS0Qrv4pyacgcz_-11yY9QN0WQN8,1743 +torch/include/ATen/ops/_linalg_eigh_compositeexplicitautogradnonfunctional_dispatch.h,sha256=xjQc_Z7i5elpgIfxBJ4x_t2amOT7NB30PzRVvHn0S2o,866 +torch/include/ATen/ops/_linalg_eigh_cpu_dispatch.h,sha256=tY2qcoGuhgjrbN3haqFpMswV8v2KP6Vu-xWKOY0XykM,1170 +torch/include/ATen/ops/_linalg_eigh_cuda_dispatch.h,sha256=w9wi_MmlNh7OsHv87NeMqP_RpljQZHOR52LKS_Ebdk4,1172 +torch/include/ATen/ops/_linalg_eigh_meta.h,sha256=lWP9GdVIBqJS3lg92XAtHusmfhavS-9JQzTYHwN-FpM,628 +torch/include/ATen/ops/_linalg_eigh_meta_dispatch.h,sha256=SM0z3Y2bzH0ZK2zJ5PGsMd2eZGdFhBB6uTZc7TLGUnc,1172 +torch/include/ATen/ops/_linalg_eigh_native.h,sha256=5ES-iSmCAVZ6PzD_K16dLm7HSoIqFxdhitLtT6qNPlg,702 +torch/include/ATen/ops/_linalg_eigh_ops.h,sha256=pkYnMfRd5-Qw4_4f_qYgsS9teqctUA4EGXvvYjW9l7s,2257 +torch/include/ATen/ops/_linalg_slogdet.h,sha256=Dgr4ps5v-8U-we_OiNzIjgpck3163yiFLCszKqZ3cIA,1700 +torch/include/ATen/ops/_linalg_slogdet_compositeexplicitautogradnonfunctional_dispatch.h,sha256=wcgAZj-HWA5gHoQ68MuZuTKVe5q7dp9hwCh49I4bIZ0,843 +torch/include/ATen/ops/_linalg_slogdet_cpu_dispatch.h,sha256=4N9OTDJhZ7h3C9z-yFcMzRp7EIjzFLS4Ts3ZSYPBoUk,1174 +torch/include/ATen/ops/_linalg_slogdet_cuda_dispatch.h,sha256=Vziuw0p8-GrayyOhYJuO32cm1K9kw9mAI_oYEsglTYc,1176 +torch/include/ATen/ops/_linalg_slogdet_meta.h,sha256=fVjnwYcm_1Nbnc8FQ1X7DAW5SnAUq0CT5Jwykzj9pbM,592 +torch/include/ATen/ops/_linalg_slogdet_meta_dispatch.h,sha256=FmgeiTaxUjXwftjSjyeE3c5K4OqVnSfBP76JSWevIlU,1176 +torch/include/ATen/ops/_linalg_slogdet_native.h,sha256=igG6aICu5NLX3AO1SSUPaJK5nS5kh9hEpFuLExvqo7I,712 +torch/include/ATen/ops/_linalg_slogdet_ops.h,sha256=0e-BklHQ0hJqPh-5Np4QYw0bGEdcu3CZKf91Tq66dQM,2268 +torch/include/ATen/ops/_linalg_solve_ex.h,sha256=zb2ecm6Y6rHQt9R46pmpxBLzQC9n8I0TRR3nPP4kSLE,2094 +torch/include/ATen/ops/_linalg_solve_ex_compositeexplicitautogradnonfunctional_dispatch.h,sha256=7aMKBqEyDg-ULzCyrUjFgil2tZkBabLavlFLluKS14Q,907 +torch/include/ATen/ops/_linalg_solve_ex_cpu_dispatch.h,sha256=H9U1RBF8PYQVjIfX9keD7WTTN2j35wNkaDmHUw7LY5k,1349 +torch/include/ATen/ops/_linalg_solve_ex_cuda_dispatch.h,sha256=TXUZXz65MCtetPkYashJ1pPS_P83PIKLrFa02jlCQQo,1351 +torch/include/ATen/ops/_linalg_solve_ex_meta.h,sha256=t7eg3P8F4qBGTR4qmBTM1pJ9AP9AoW7iP0SkZf3LAHs,645 +torch/include/ATen/ops/_linalg_solve_ex_meta_dispatch.h,sha256=oMY9eXNYuKwf9XDPLLl4Zfc1_TfIy9EARkNvlF_VNeI,1351 +torch/include/ATen/ops/_linalg_solve_ex_native.h,sha256=8W-fvX2UeN0gGukV_J5rA8ow8CS8raz7Ly3KfyTItkI,764 +torch/include/ATen/ops/_linalg_solve_ex_ops.h,sha256=WC2YIs_STko-sRoGV10LGn3a9bEljXUjg11ZtrJMG-E,2642 +torch/include/ATen/ops/_linalg_svd.h,sha256=YJzOhBbPSyJPymr8o_AeQ22PQvwx8kmULLpEvGk61DE,1948 +torch/include/ATen/ops/_linalg_svd_compositeexplicitautogradnonfunctional_dispatch.h,sha256=WCaG-yOJsv28qTGbuWe1-D0vmPi8h456wXv3GreikBQ,929 +torch/include/ATen/ops/_linalg_svd_cpu_dispatch.h,sha256=aFSoDGdkivhY7kqLgq_lMFXnIEugUtYIumNbbtZh8QA,1340 +torch/include/ATen/ops/_linalg_svd_cuda_dispatch.h,sha256=TAgN0zlluDP39P0983qxzZDfS1jy5niWexGUdNE204g,1342 +torch/include/ATen/ops/_linalg_svd_meta.h,sha256=jdY3s3cqKeO0X5c9q7xrJLC1k8PmFRzC0nMCVM5Kq_k,665 +torch/include/ATen/ops/_linalg_svd_meta_dispatch.h,sha256=OQEWzRr5c1t21CytP1PmXmWNLKfWO_9Feljtz9kdFNk,1342 +torch/include/ATen/ops/_linalg_svd_native.h,sha256=aeQDy30IbNrSyYn0Yj2h_wjzBqRiOXHiNa2aF07FTWk,739 +torch/include/ATen/ops/_linalg_svd_ops.h,sha256=GlszUoOPGtkCrZrnZN20qGb6bfekkU1ZNUs3SJh7Ph0,2532 +torch/include/ATen/ops/_local_scalar_dense.h,sha256=DdcO0Khw6Jlu__viJvIGnTPwe7FsApsgevUdb8lo0Bg,677 +torch/include/ATen/ops/_local_scalar_dense_cpu_dispatch.h,sha256=c9MkDN0UKXdbmFUiSp4GZVB-Nyc3vhdcnyqdzMXMNQQ,733 +torch/include/ATen/ops/_local_scalar_dense_cuda_dispatch.h,sha256=cp6tgJTSD8E2i4UzEABPpSDGdkvPRsg1oZcx9vm4Jg4,735 +torch/include/ATen/ops/_local_scalar_dense_native.h,sha256=-nWt26y4yyc9YU411i3rydfN6DQf4dFWH9xQTujQOi8,576 +torch/include/ATen/ops/_local_scalar_dense_ops.h,sha256=FcgXW9a8nkC8olqEmPZiHTFfMa3WXg6vqU_-vKGkqlU,1006 +torch/include/ATen/ops/_log_softmax.h,sha256=CJ6jvgQqLzaWyor9rCDQqw9yZPPSn7ksnE7JaAGBzrs,1321 +torch/include/ATen/ops/_log_softmax_backward_data.h,sha256=FDKpvjhIOimU-xiq03p-BHFGo9PxF7F7LmaQetPJUx4,1704 +torch/include/ATen/ops/_log_softmax_backward_data_compositeexplicitautogradnonfunctional_dispatch.h,sha256=AtFFuaP4HOc_1rtpvkM723kkaU5B1yfAqu2EOj0PkmU,885 +torch/include/ATen/ops/_log_softmax_backward_data_cpu_dispatch.h,sha256=mYIa9lFri9OvQmGnq99-HTj4im7kUI5dhJPXYwpE1_k,1162 +torch/include/ATen/ops/_log_softmax_backward_data_cuda_dispatch.h,sha256=GjAibzrSWBfnl8lSiuQL2H4R-yCcy6h0DXT4Nh5enoo,1164 +torch/include/ATen/ops/_log_softmax_backward_data_meta.h,sha256=NhUvV-kUjuxPYJei_jnyPQvgLHFUQUfLRu5fIwDMtnI,681 +torch/include/ATen/ops/_log_softmax_backward_data_meta_dispatch.h,sha256=sLpNSJ2Ybc0X-jH_quFwLcLultwvHom2FK5shNd-UKY,1164 +torch/include/ATen/ops/_log_softmax_backward_data_native.h,sha256=PVykKBY5ldqBEXYH70tN8KEw-ZAEvd-6Hkjozcr5vkE,995 +torch/include/ATen/ops/_log_softmax_backward_data_ops.h,sha256=86qKivw0cYa8pmpbeNz9BNX4insZ97nNza0SqSjCFy8,2210 +torch/include/ATen/ops/_log_softmax_compositeexplicitautogradnonfunctional_dispatch.h,sha256=LxaA31JJPm_ixF6Tw79UyGIIPG9h_hIdErE2weJUVa8,829 +torch/include/ATen/ops/_log_softmax_cpu_dispatch.h,sha256=O-n0FakeBSZc3Y8saOWFIt8KD6Kojkuazkpi4Jud_YA,994 +torch/include/ATen/ops/_log_softmax_cuda_dispatch.h,sha256=UnBbvEEosdPCdx7aLI7F7OCUchy5zJcj4QY8drotYfU,996 +torch/include/ATen/ops/_log_softmax_meta.h,sha256=7oqrb0EZMUYJN-QxO3pWp889jDwMCgfiddeHAWTbbqk,625 +torch/include/ATen/ops/_log_softmax_meta_dispatch.h,sha256=c2gpZI3nk0ehsIuV7lXzzmjFWoy11iLxdBNpOyuhmg0,996 +torch/include/ATen/ops/_log_softmax_native.h,sha256=vsbahKlOM5zuq173UiF5izzXZisJc_IDV_jQ2oMiCWU,851 +torch/include/ATen/ops/_log_softmax_ops.h,sha256=D6Uwk9WUB4f0C-7X7weFFB2ZIq0Uf3046kDn7zoCRdk,1846 +torch/include/ATen/ops/_logcumsumexp.h,sha256=EfU_Z9EUrxkYQ4Pf8y1jdm1Dpoo4ePrG_EcR3HvqIQs,1166 +torch/include/ATen/ops/_logcumsumexp_cpu_dispatch.h,sha256=3_RT4yQXkssBg2jSX8My8v-w7W1nw8u5IlKnlRTZr4E,937 +torch/include/ATen/ops/_logcumsumexp_cuda_dispatch.h,sha256=-hPUr5qAWMLY_DdiE3GgQc9KoLXe_Y9C6zErSjkd76w,939 +torch/include/ATen/ops/_logcumsumexp_native.h,sha256=OwwkekXFgcQYcYmT2P6cUNN5R2nDwPYrxvn9q6vVaL4,795 +torch/include/ATen/ops/_logcumsumexp_ops.h,sha256=4W3vgFKwd3hDpl5zhyAnjH_6yRulZz_6cM2WTlao8Yw,1720 +torch/include/ATen/ops/_lstm_mps.h,sha256=RnPdAbGnJGxGZ-mph7CsML4Mal9C-5hL_3g-B5OOi4k,2932 +torch/include/ATen/ops/_lstm_mps_compositeexplicitautograd_dispatch.h,sha256=d3rxtRj5Uu19DNLP0ydQF_sE_4WeHWgt8uDi5NXDDRc,1515 +torch/include/ATen/ops/_lstm_mps_native.h,sha256=62ALUJlq-d1VSKRBTwHY_rq5UDhmq38stAtkgSddXDU,835 +torch/include/ATen/ops/_lstm_mps_ops.h,sha256=k81gsXLj4J1b67YeR21ZX06N3cdA4ndQZKpAFWQclD0,3492 +torch/include/ATen/ops/_lu_with_info.h,sha256=itphkYp_8ul0p17ZqvhW_d8gMao_NylVjT-nqNo46UY,825 +torch/include/ATen/ops/_lu_with_info_compositeimplicitautograd_dispatch.h,sha256=sRAzB0rszPzNHEMEv9NdUSVIxSYv4bElHoVGQBYcUlI,848 +torch/include/ATen/ops/_lu_with_info_native.h,sha256=ag9-o3oojMSKu0WK3r7AKbrj8LnOcuAf63UFqaE5BmM,571 +torch/include/ATen/ops/_lu_with_info_ops.h,sha256=zu1BH9zXaluUpzDMXzAf2hgotl9Ofyyqz_jGUxbLjYM,1244 +torch/include/ATen/ops/_make_dep_token.h,sha256=K_Z_KRj50EgZpUGPojFWtfzW0EEIGYlpmI5iECHDII4,1512 +torch/include/ATen/ops/_make_dep_token_cpu_dispatch.h,sha256=b4zV2Q2duVsxeqWxLuarLTa0gzMfK15TdebVkedJgKM,1016 +torch/include/ATen/ops/_make_dep_token_native.h,sha256=XMOHIwDCZaRyTr8rp4AOZTwxhnacu-SpKRzuxOVhDSc,684 +torch/include/ATen/ops/_make_dep_token_ops.h,sha256=2uet9G9qONjKvrHH4krBbz8pLDbcUEcHC-8OsmEXvo0,1544 +torch/include/ATen/ops/_make_dual.h,sha256=OnoDSpNCIMLp1JXVMpxCE8cLft8LjNw0ohR042fbC8k,739 +torch/include/ATen/ops/_make_dual_compositeexplicitautograd_dispatch.h,sha256=dUzwG4r_3yFWRtDVJyJQlWdx6P5HvTvz9O85j_rL_U4,813 +torch/include/ATen/ops/_make_dual_copy.h,sha256=3BB9-Yhnt0x9wPD2c_htH4tLVlib_DP8akHV7eawcS0,1381 +torch/include/ATen/ops/_make_dual_copy_compositeexplicitautograd_dispatch.h,sha256=s2qGBFT6ci_9R47QLovAHM8R6eX2yhXn9cu5_TJxc_4,975 +torch/include/ATen/ops/_make_dual_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=IeETUThSE0D2ScOlD4cf8fmBAMM0y0FoRRNaJYbOIeE,844 +torch/include/ATen/ops/_make_dual_copy_native.h,sha256=2H9dQ8BCjd2UFengYWu4JGGLVrxny9Jp-ScXcWEz-ac,673 +torch/include/ATen/ops/_make_dual_copy_ops.h,sha256=04nfiTO1CiW0U9CcG4pJA9SERaZasw4asILvQWkd5o4,1940 +torch/include/ATen/ops/_make_dual_native.h,sha256=xxQ3PCpXs-PlCaKCIi7x2wCJoC1t1C0QZirikogxkec,536 +torch/include/ATen/ops/_make_dual_ops.h,sha256=KMyptSfhuGLlas0NPTBTG5vaNEXTkUyEl1caoTVCpdY,1133 +torch/include/ATen/ops/_make_per_channel_quantized_tensor.h,sha256=Ter5aL4v-1GNBqYYAvpbUmHCJzSxu4KiFrUJLKJZewY,1712 +torch/include/ATen/ops/_make_per_channel_quantized_tensor_compositeexplicitautograd_dispatch.h,sha256=FEGlc5nvemr85T-CaFu_DMbac_DhQT8iQ5g0Hy9ZAAo,1065 +torch/include/ATen/ops/_make_per_channel_quantized_tensor_cpu_dispatch.h,sha256=9ZBT-YbWqIEI0zydjeycTU-QoWWizgcOeFy81JXDIi8,819 +torch/include/ATen/ops/_make_per_channel_quantized_tensor_cuda_dispatch.h,sha256=H2NGxzzqFBHSFIQWI3aRzZFgN6Gs_0UPLrw5ubKD1FQ,821 +torch/include/ATen/ops/_make_per_channel_quantized_tensor_native.h,sha256=hq-iE3XQRAWU8tFsafP4X-y38aiLq8fM2mGj5OdtupM,923 +torch/include/ATen/ops/_make_per_channel_quantized_tensor_ops.h,sha256=aBKoImPtIquxOe4__xV_eteoMGYxtJ0IMqXJjazoJCU,2226 +torch/include/ATen/ops/_make_per_tensor_quantized_tensor.h,sha256=ow2F9fNGWBG-THZqE12fSHEQoV8B-IpSzYC7F7m5tQg,1531 +torch/include/ATen/ops/_make_per_tensor_quantized_tensor_compositeexplicitautograd_dispatch.h,sha256=9Gnh-sSsBW4Snm-r8gLBaIgG04QjaUUq5pmIr1MiIU0,989 +torch/include/ATen/ops/_make_per_tensor_quantized_tensor_cpu_dispatch.h,sha256=r3dyXRudFPxxjUy-DpIMp4YQtG8-UgpIQqmc00_l-VE,781 +torch/include/ATen/ops/_make_per_tensor_quantized_tensor_cuda_dispatch.h,sha256=rMFRFnBRUWdJ4cLq6caOYmQPsqAnfTFJ6XMaZh_Bsn8,783 +torch/include/ATen/ops/_make_per_tensor_quantized_tensor_native.h,sha256=MCYrEP_Ir8jca8F9QgXzsvr2FIg_hZLUOeRYcXYYkJk,809 +torch/include/ATen/ops/_make_per_tensor_quantized_tensor_ops.h,sha256=MzIxYmEzrV9NPzVZiT9fzXVrVk-9g1ZJl603V-4oFZ8,1980 +torch/include/ATen/ops/_masked_scale.h,sha256=rTg1GvawR5Hk1sfVUMMz4O59a6FClrKhPcvnflnDtt0,1319 +torch/include/ATen/ops/_masked_scale_compositeexplicitautograd_dispatch.h,sha256=KEQnL0W77ie_hlZngDA2bjPtc_yfaoph4qvijwVrpQI,959 +torch/include/ATen/ops/_masked_scale_cuda_dispatch.h,sha256=WrK_ulgDWj0KicJyIPpMojZw3kJfFZlZ_aQF7VRvzio,768 +torch/include/ATen/ops/_masked_scale_native.h,sha256=Ah4eREl52L5Yzpp3YkZv8zVkNQ1zv3s48t4qB1dTxZo,661 +torch/include/ATen/ops/_masked_scale_ops.h,sha256=kiwo679qQTKCXis_PRQZA3ifx69Yxpf_GT_kW89rVos,1896 +torch/include/ATen/ops/_masked_softmax.h,sha256=zWc1BeW0LuAVG2sNHVlz_gUxZuzAMT0EjKKGvdW765Q,1631 +torch/include/ATen/ops/_masked_softmax_backward.h,sha256=jW4YqpC_uWL5xLhqYZzRQE6bSpSeays4vV1lJ5zsZ3g,1710 +torch/include/ATen/ops/_masked_softmax_backward_compositeexplicitautograd_dispatch.h,sha256=Hngq2fd3Vj7-IF4QXMRB_7IWhFFHD7Kc_7fvdmLSlrI,1090 +torch/include/ATen/ops/_masked_softmax_backward_cpu_dispatch.h,sha256=zi2h0OyYypnReBjUQWXr3Xwv8p_Ht2QSEw4MiSfzeHk,838 +torch/include/ATen/ops/_masked_softmax_backward_cuda_dispatch.h,sha256=UambvRMR1yd8RmVXO0hPdyXcNa4XTFK7R_EQ_jrKur8,840 +torch/include/ATen/ops/_masked_softmax_backward_native.h,sha256=vEZ13MTIvbnaEdW4jNtuWuyTi-JxLdZjqXu_RnkkZHU,967 +torch/include/ATen/ops/_masked_softmax_backward_ops.h,sha256=3pZrjTCmf3Ilh3HU80yrfsWixS5JPfVWwZHe0EjcfNU,2274 +torch/include/ATen/ops/_masked_softmax_compositeexplicitautograd_dispatch.h,sha256=bERTVBBd_S6MiI0KpNoj1jzWABoU_Mpfbxt4EwkVeBg,1085 +torch/include/ATen/ops/_masked_softmax_cpu_dispatch.h,sha256=V7OBKEdXLwwMZtkbNPmktTYOvP6nOvUzrvgfx9KeNdg,842 +torch/include/ATen/ops/_masked_softmax_cuda_dispatch.h,sha256=oQ8z98cyJIoEWtOI4DQlAkzLDzgui7rW2IXQWjn0oLs,844 +torch/include/ATen/ops/_masked_softmax_native.h,sha256=lBJhpRxkUINYv-mCihTiC3Db2-abvBChp8dg1_nLZCs,966 +torch/include/ATen/ops/_masked_softmax_ops.h,sha256=4G0BzX7d_SSEp9Otq2K5trJEHy4uv4YAviWIw0v0D-A,2226 +torch/include/ATen/ops/_mixed_dtypes_linear.h,sha256=bSIYGePTT0ljlCTAs9hSvM7TRkzgDX2O1PbMQZLkCCY,943 +torch/include/ATen/ops/_mixed_dtypes_linear_cuda_dispatch.h,sha256=47ejrs0ppXMxfLhCGPL_9J_k-m5IFqzz2tcfKrPy0t8,890 +torch/include/ATen/ops/_mixed_dtypes_linear_native.h,sha256=MvvrtQ9v8HsYRliObUkbJiVXsg8XHX50dOUTja_wrdM,655 +torch/include/ATen/ops/_mixed_dtypes_linear_ops.h,sha256=1Og-Cs-XwQz__PIgyMqAoa5zk_0dQAK0fhfBMk1WZiY,1467 +torch/include/ATen/ops/_mkldnn_reshape.h,sha256=E7DCkVCb9_7YZ1IeHG5jQwupi32E3kVG-Xf2WqGKvzM,1234 +torch/include/ATen/ops/_mkldnn_reshape_compositeexplicitautograd_dispatch.h,sha256=dQX0j3rjKvnDzOCC1NPH1K3CgBjUKOUpaN0ntQtYbt8,931 +torch/include/ATen/ops/_mkldnn_reshape_native.h,sha256=4GPrv7ZScQKt6mqCVAK2OQxP20OV9kUq8Z76k2f-wkk,628 +torch/include/ATen/ops/_mkldnn_reshape_ops.h,sha256=F3Bz_G6jLvzHEdxViSWLKnxMXOMmtxfIFJ_NhS94TrM,1796 +torch/include/ATen/ops/_mkldnn_transpose.h,sha256=Hff1VPLpDnJ_ZWyBbZUYgc3o1BqEfsa4K_H2saPL3w0,1540 +torch/include/ATen/ops/_mkldnn_transpose_compositeexplicitautograd_dispatch.h,sha256=VRU7fTRIckiRxHBpXF9VJAR_cicO-IggHcJ7AJF-8KY,945 +torch/include/ATen/ops/_mkldnn_transpose_meta_dispatch.h,sha256=5RLin9bnxhXbMZs2kIHb9u6EPyLgKDXE58wvn67EPO4,758 +torch/include/ATen/ops/_mkldnn_transpose_native.h,sha256=oiWtoiEsvQuKjbKKLd_pdi64wR-raDrcINwb5T2s-7I,731 +torch/include/ATen/ops/_mkldnn_transpose_ops.h,sha256=p86DkbsgE0NLNALqyoWXkXpl_V_bjT8tHTG1H4hFQps,2503 +torch/include/ATen/ops/_mps_convolution.h,sha256=tpezX_nAfVKBZdeh3vWf5RWX7pjPn1QSwdY4yrKG_5E,6849 +torch/include/ATen/ops/_mps_convolution_compositeexplicitautograd_dispatch.h,sha256=7idqzcf0DvPSF1mrV12DdliytNOyFZkdlTgf6L2UyVg,1742 +torch/include/ATen/ops/_mps_convolution_native.h,sha256=Wi5q_hNUDNS54DdKsstoL9UhyxROJ_6HNePxiP4XpOk,702 +torch/include/ATen/ops/_mps_convolution_ops.h,sha256=veZSL_l1o8eiwoNTAJnV2q96okz2tPiqwpeTv_LEQHk,2804 +torch/include/ATen/ops/_mps_convolution_transpose.h,sha256=Z3ShMOOlFHHLzBwvrxK8sb6dFe6bXtm_ZBfS2OLFhHQ,7429 +torch/include/ATen/ops/_mps_convolution_transpose_compositeexplicitautograd_dispatch.h,sha256=rVxcIdde4asxWUVBKPFStVeFH2z51EpsGPIQdBEkLkk,1758 +torch/include/ATen/ops/_mps_convolution_transpose_native.h,sha256=nYzwrD8qsOa1YH48h8JHs7Fsy8CRfx_SOyPdx-9LbLE,708 +torch/include/ATen/ops/_mps_convolution_transpose_ops.h,sha256=0IWuxCdcgOPIWZ5_S9QEbDJ0UFPNksbOHJZJDEYt5Ng,2842 +torch/include/ATen/ops/_native_batch_norm_legit.h,sha256=dCFfAOU8ss8fy7X6KNPCBnic2xyYzjUQtmsDl3NLpMQ,5335 +torch/include/ATen/ops/_native_batch_norm_legit_compositeexplicitautograd_dispatch.h,sha256=uxzHr_GUquAsvp5e-76aR77JvyTfIfotLgHAExUHU1U,1043 +torch/include/ATen/ops/_native_batch_norm_legit_cpu_dispatch.h,sha256=tjDVqLNl6EKteLcr4LTzphFi0opuML8uMbspAXJG4DI,2549 +torch/include/ATen/ops/_native_batch_norm_legit_cuda_dispatch.h,sha256=VUweH5j6YkA2unteUx2y7CvnEsvEl1p-3fop1jqdsLc,2551 +torch/include/ATen/ops/_native_batch_norm_legit_native.h,sha256=aRD2utO3N8kpKeQ2zpziAA8qgv7Xu14TbEQQzamE73o,3718 +torch/include/ATen/ops/_native_batch_norm_legit_no_training.h,sha256=MtWH5lebmpfh1YAy8AMNijsIGzT6_3YSE2lLRSQMHYE,2674 +torch/include/ATen/ops/_native_batch_norm_legit_no_training_compositeexplicitautograd_dispatch.h,sha256=cXcNjsMq5cUZ2tepgqLUfT5blC2tNqP8H4h5Eu2UoWc,1736 +torch/include/ATen/ops/_native_batch_norm_legit_no_training_native.h,sha256=fAYfzJ1c5TpuKTM14pK08q62syDFI7HsedSRxNfSwcM,1087 +torch/include/ATen/ops/_native_batch_norm_legit_no_training_ops.h,sha256=Q16kGvHLxyY2A5yzx6lopi90eUTdwA0EqkxixqOVvKU,3341 +torch/include/ATen/ops/_native_batch_norm_legit_ops.h,sha256=ZAhctpfkzweM4xtUMYE2i26V2hXGtI9VgHXhEYeudIw,7440 +torch/include/ATen/ops/_native_multi_head_attention.h,sha256=uinJ4bBDJ3et9fsyTvnvFghJFEmJ2328VHWUo-fRdgY,3561 +torch/include/ATen/ops/_native_multi_head_attention_compositeexplicitautograd_dispatch.h,sha256=B7OV5Kaa-JtBxfoHIvAPsqmF6im7HVmPqN_1e2h2oBs,1691 +torch/include/ATen/ops/_native_multi_head_attention_cpu_dispatch.h,sha256=9C7SnOPo69bg8TPX8EQx4ZKOJrTTaUbQ93F269sv6WQ,1123 +torch/include/ATen/ops/_native_multi_head_attention_cuda_dispatch.h,sha256=T9fzg31CmkI2flJwv1ITo--e176jhx9KJOCaBhvDe5s,1125 +torch/include/ATen/ops/_native_multi_head_attention_native.h,sha256=BsZAuyzzRp1K_7T8gBA12zsFNykwal-qVC6aNRBJMu0,1831 +torch/include/ATen/ops/_native_multi_head_attention_ops.h,sha256=9EjlOfqeZ1zKL3Q-2otFxEbeC_JA9vXJHRECMYPv87o,4164 +torch/include/ATen/ops/_neg_view.h,sha256=zPcLWN5iOOa_H0M48g4hq1kUISKbtA-AqZolL19ORpc,643 +torch/include/ATen/ops/_neg_view_compositeexplicitautograd_dispatch.h,sha256=M1LBYfnOR-NeAdjN0g-3Z1PP2J5xy8QCwzgJnh8Twm0,767 +torch/include/ATen/ops/_neg_view_copy.h,sha256=RzLbYW_65pv3f3Z_S0JxUXAKK3gCCdfLnVWAOSikel4,1095 +torch/include/ATen/ops/_neg_view_copy_compositeexplicitautograd_dispatch.h,sha256=ASqnPEJ4_R3Y7woBI7vW83fyQcJfOZjGn6mG0iVFnTU,883 +torch/include/ATen/ops/_neg_view_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=a95U0EWNIO2efX6AxunHMiwKTa6SHmgS38uM0pwG9l8,798 +torch/include/ATen/ops/_neg_view_copy_native.h,sha256=vncTdFHOrX2yAcuH3DXQ6puzWe4WzVU-pi66e3aW2PQ,581 +torch/include/ATen/ops/_neg_view_copy_ops.h,sha256=b8vs_burh7Y7y0jIQPKXH_Pf7DymrV8p4vY6GWdjju4,1638 +torch/include/ATen/ops/_neg_view_native.h,sha256=ws0s2HgWqUcIo24ru9xJJ1_S8QoEIKcVc2siqj7bFgQ,490 +torch/include/ATen/ops/_neg_view_ops.h,sha256=LxTKYLNKof5Ot0RyvvDGf267PKDzMEIro7VmBBEsjrc,982 +torch/include/ATen/ops/_nested_from_padded.h,sha256=uNFeEo1jX71vkqNYrd5u2t_bEiDM7_98Oy9PmIqDoKU,1724 +torch/include/ATen/ops/_nested_from_padded_and_nested_example.h,sha256=cLkmDql47gtTdR-hqX93xGeAPc9mitIuYDZGW7RnlJA,1539 +torch/include/ATen/ops/_nested_from_padded_and_nested_example_compositeexplicitautograd_dispatch.h,sha256=-w0gJjiXz5II1sm-XSjIYU3n0VhdNOcmkXWlUrTiYfg,997 +torch/include/ATen/ops/_nested_from_padded_and_nested_example_native.h,sha256=RYYCiQfye71kK4spwhonfCFg7CVjpCaPxmSc6Xpa-SA,700 +torch/include/ATen/ops/_nested_from_padded_and_nested_example_ops.h,sha256=Xi5kkRt-LGHt3s0xuzCqQ4-NYD08FEHjx67_L23CBKQ,1996 +torch/include/ATen/ops/_nested_from_padded_compositeexplicitautograd_dispatch.h,sha256=iyZC19WxsyK6vUVPUNFiBQ2rDZdnJgonSzSQJ0Hxzi0,1045 +torch/include/ATen/ops/_nested_from_padded_cpu_dispatch.h,sha256=OAoLdpriJVeuwnzqwpXMrE8fLxx6HpAH8vUv782fhEw,812 +torch/include/ATen/ops/_nested_from_padded_cuda_dispatch.h,sha256=9cdVyHehT1qyqarv5tZfyzmNRpSQ95czCGTgtTv-Lac,814 +torch/include/ATen/ops/_nested_from_padded_native.h,sha256=3HgZj_F9I9Vh9lVzbyD-7ejVGovl2os7Ly1pTXpwNtg,900 +torch/include/ATen/ops/_nested_from_padded_ops.h,sha256=XDZdgK3u5SZVTHGDYgO6FKIyeQKkFiCMoDSxbqdD5qo,2146 +torch/include/ATen/ops/_nested_select_backward.h,sha256=DiINwptiuqouBAd_yUzqnsN5HccdSrpJMSnFd-vWEqo,1790 +torch/include/ATen/ops/_nested_select_backward_native.h,sha256=pg4bkiQpX8NEZiPAHJ_XsCoeMtcX0bMlxq1R-F9-iEU,575 +torch/include/ATen/ops/_nested_select_backward_ops.h,sha256=S5FHnHcFt1uCEYVSQQo-QeQUkKGH6zCaU513tIN0qWI,1231 +torch/include/ATen/ops/_nested_sum_backward.h,sha256=YVDCJMIYJZsuGYVZWqx6YoZCABItGJtpme6bETr0K1E,821 +torch/include/ATen/ops/_nested_sum_backward_native.h,sha256=V0aF5zwQ6FIzISFJRmj8h9a1FiGFbSuOH8Obk72pWQU,579 +torch/include/ATen/ops/_nested_sum_backward_ops.h,sha256=BFhSx4Ovmf9K5dy_6AetM7Ln2umDVgORo5dtHO4mhyc,1242 +torch/include/ATen/ops/_nested_tensor_from_mask.h,sha256=BK6Jk8GeS8gk0mobdRsZfuBlSkjVtdlunCBU6LaAeGE,1463 +torch/include/ATen/ops/_nested_tensor_from_mask_compositeexplicitautograd_dispatch.h,sha256=yG2KKPVZNa9fSt_uN3Q8JAxmTJVGQS8kbasEZZzlBpQ,986 +torch/include/ATen/ops/_nested_tensor_from_mask_cpu_dispatch.h,sha256=_db9ON9nYCPA3jwClpy-5YbOfmtYTEEkRn36GqPzmt8,782 +torch/include/ATen/ops/_nested_tensor_from_mask_cuda_dispatch.h,sha256=Lo80aWfYrvo_W_UxTIsmQlilRAJhjJ4MtYUgGNrYvGg,784 +torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned.h,sha256=atnGYNbO6LXA9yCyS8E0I2m7oG00cSudeds63WFW0OY,776 +torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_cpu_dispatch.h,sha256=W2lvBKb80HYKnPA1rppp6TyLBUs2PaJlfdr3lGx-8nM,767 +torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_cuda_dispatch.h,sha256=6HJcOCX2R8e251BiY7tEjWcmY0MlKF3gzG0bkLDFFUs,769 +torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_native.h,sha256=Zf7wYZcik-2vL6sWXcz1ul-mrqFq6LxNSV9ilkOvhgU,546 +torch/include/ATen/ops/_nested_tensor_from_mask_left_aligned_ops.h,sha256=fskCjiwr6ZrJbJbvYyAQJARxXDclxQ7tNeiCTWIJ8mc,1114 +torch/include/ATen/ops/_nested_tensor_from_mask_native.h,sha256=82Aid64peBjD8uaKreamut6Vr83VA9UAH5vX6_jeil8,696 +torch/include/ATen/ops/_nested_tensor_from_mask_ops.h,sha256=kGrYQ13lL4c6ycahfGqpkzXTVH8nb_NUOEzvMhzWq7I,1970 +torch/include/ATen/ops/_nested_tensor_from_tensor_list.h,sha256=WgYxYGCyfrbF0RoYzQCvqrQReRr166INhzJZsV0m3PY,2146 +torch/include/ATen/ops/_nested_tensor_from_tensor_list_compositeexplicitautograd_dispatch.h,sha256=-M8bxdGqbySe4QQgQeIV6qYMoDPDYSf4snw26fiUVLE,1499 +torch/include/ATen/ops/_nested_tensor_from_tensor_list_native.h,sha256=40slmYLXETEJUnG3vIsHdR_qNBNZU8WknXToUG1zCb0,933 +torch/include/ATen/ops/_nested_tensor_from_tensor_list_ops.h,sha256=DSYuqCVBO5Fx8p_bj8N5STHMFTR1rdGaY3r1JbMcjh0,2658 +torch/include/ATen/ops/_nested_tensor_size.h,sha256=DlW94LF4fs6HAXliz0v-HjkJoLUd_bxNUufikNcWPBg,971 +torch/include/ATen/ops/_nested_tensor_size_compositeexplicitautograd_dispatch.h,sha256=kRC_WD1a497H4IcJLxouqjtaNbuCBDtPtFPdTHzGW4s,893 +torch/include/ATen/ops/_nested_tensor_size_native.h,sha256=Nw4PyxYbdnU7gpDQGG87Q_ka01ik0XgCJAJNlKvvPFI,591 +torch/include/ATen/ops/_nested_tensor_size_ops.h,sha256=N0e7b-FuX3AVmKUQaF-eoIea6P99I3MfivX218mG02U,1668 +torch/include/ATen/ops/_nested_tensor_softmax_with_shape.h,sha256=WXdfqAOshhLlIyOLic6vN6PH4LrMooe6NX_BNhPGIlA,780 +torch/include/ATen/ops/_nested_tensor_softmax_with_shape_native.h,sha256=YGs-uSh_kwbjTLH_2G9iRXz71SIH9kzrXhb_r2SvWh8,642 +torch/include/ATen/ops/_nested_tensor_softmax_with_shape_ops.h,sha256=pgmHJWSXe6H82N_433XIqQjHdsjD46zHp5wGNRPc_-A,1134 +torch/include/ATen/ops/_nested_tensor_storage_offsets.h,sha256=wRhtK6EWdMP2nQr_TOjbsNq5jSKitNAHLZbflvbPIXs,1048 +torch/include/ATen/ops/_nested_tensor_storage_offsets_compositeexplicitautograd_dispatch.h,sha256=29pbwDFoil8GmlZjcmkDayjvoo123IQ8I5zz7AQWorU,915 +torch/include/ATen/ops/_nested_tensor_storage_offsets_native.h,sha256=tidIZ8O88e6RN2n_uYe61fW6DAi0mb6qLJcjkks_YZs,613 +torch/include/ATen/ops/_nested_tensor_storage_offsets_ops.h,sha256=UEGbDsgTcCfL6GfqKoN5AQW2k9ODDcvHnUawo58ElQ4,1734 +torch/include/ATen/ops/_nested_tensor_strides.h,sha256=hjBHua4wQa1VEKY-c5BhzdiHVPyhYl2c8iUY4vlED8k,992 +torch/include/ATen/ops/_nested_tensor_strides_compositeexplicitautograd_dispatch.h,sha256=PzjmLHBtpG65NfzI2svok35epdEUzO4yvuOd6FtBPCs,899 +torch/include/ATen/ops/_nested_tensor_strides_native.h,sha256=wRKAEVrFCRcklRByq72HsyiYrp-AYVvLENDX3zIL33I,597 +torch/include/ATen/ops/_nested_tensor_strides_ops.h,sha256=fm0XMcoz2T7XwsU_YkYhQxP9rX8OWlgiIUeJjzdxeyw,1686 +torch/include/ATen/ops/_nested_view_from_buffer.h,sha256=GoEwUANaE6r7_gxnzXhNVSAvDfjnBVKZpbiQ2W8x_so,895 +torch/include/ATen/ops/_nested_view_from_buffer_copy.h,sha256=Z7Y3vmLCKOx6WQyUeHlcbhm4EofHzL4ZQ_tFOtRUvl8,1821 +torch/include/ATen/ops/_nested_view_from_buffer_copy_compositeexplicitautograd_dispatch.h,sha256=4xsnR3nVM-AO3yBQJxO5gJu-n7NpWbvXfXhQrRUA1bQ,1103 +torch/include/ATen/ops/_nested_view_from_buffer_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=sDMSMr0Bk34tO9Euu5kbWD98NiTqd6GpQYg1pK7XslM,908 +torch/include/ATen/ops/_nested_view_from_buffer_copy_native.h,sha256=d3m1dCY6tXEQoJ8fj4xe1nkPoWdIimt4Dv5KCXsk_u0,801 +torch/include/ATen/ops/_nested_view_from_buffer_copy_ops.h,sha256=dV5tAfja_ifdiNuJ6IL4X2jFfDo24W1Vv0X2QPcqNeA,2346 +torch/include/ATen/ops/_nested_view_from_buffer_cpu_dispatch.h,sha256=ykOzV8r4xLOhbou-kyl1YCass5Dxc0xvdONF1Y1cxaQ,833 +torch/include/ATen/ops/_nested_view_from_buffer_cuda_dispatch.h,sha256=ReUTHWBjjs8oZU3EbRd9Zt8LWSjRiwdXJ0FcuUIN6Fc,835 +torch/include/ATen/ops/_nested_view_from_buffer_native.h,sha256=A88LjYSkrqOtT5d6EsX2NU0CKa-noUcPc7WSbnWtPrI,600 +torch/include/ATen/ops/_nested_view_from_buffer_ops.h,sha256=QsJRnkWw0C3PxPPslNngdMUrLmvbGaCVYWP94cghxaU,1336 +torch/include/ATen/ops/_new_zeros_with_same_feature_meta.h,sha256=PkqSLynwT__emuAe-FHwvXNB1o8E-FVBVA541lPkF0U,1664 +torch/include/ATen/ops/_new_zeros_with_same_feature_meta_compositeexplicitautograd_dispatch.h,sha256=9BENUHd0r_WwACCsYcRe3j9eT4RpazOGyJg7e6y4CQE,1171 +torch/include/ATen/ops/_new_zeros_with_same_feature_meta_native.h,sha256=jinVFQzGmGlS23zwMPrahFgZGd7jSsK2dwz7V5v2RG8,731 +torch/include/ATen/ops/_new_zeros_with_same_feature_meta_ops.h,sha256=QZLWHgKu7WVFhMHCeAaALHRg73MgPNcdlE8WopP434E,2115 +torch/include/ATen/ops/_nnpack_available.h,sha256=IzQEdWj7D2Dj2fmXQ9PPHfL5N0WoJz0D8CsmUdAhm5A,623 +torch/include/ATen/ops/_nnpack_available_compositeimplicitautograd_dispatch.h,sha256=2oNwH-lWZpytHSxG8tJmeiHlNX8f7_nzcktVxqFpigk,746 +torch/include/ATen/ops/_nnpack_available_native.h,sha256=BVDYTdGO4W1T_YcQrhw3DDqPdPykHcuarEnkbcWxQZc,469 +torch/include/ATen/ops/_nnpack_available_ops.h,sha256=AqNpeodVuXzOvhCL_Tys9n8jWONvxPkc8sabaL4NeYU,903 +torch/include/ATen/ops/_nnpack_spatial_convolution.h,sha256=NfaFKm3XArR7y3vZA2fFjNUzxvDrrqaUBiys8qMep1A,6184 +torch/include/ATen/ops/_nnpack_spatial_convolution_compositeexplicitautograd_dispatch.h,sha256=bg4cH5n9hBuWpQosIuFXbb4OOkdfgA5fXGh1ZlkCd9k,2039 +torch/include/ATen/ops/_nnpack_spatial_convolution_native.h,sha256=H8GL3xOUmNxpEHjoMnp-nAM1S7C2fuuWx3oszTetLzM,858 +torch/include/ATen/ops/_nnpack_spatial_convolution_ops.h,sha256=Oz4VkquCnXlJXy2r7E7-Gamg4P1OF8Vtfcku-rVBQaQ,2548 +torch/include/ATen/ops/_nnz.h,sha256=LWn480TfK72b394Qa060aPI6R_8NVSH8_3HsOqw67eg,489 +torch/include/ATen/ops/_nnz_native.h,sha256=2akqcH7EytHdq410MQEXZ3pZnzbq5T3JlZoDkgBItno,549 +torch/include/ATen/ops/_nnz_ops.h,sha256=VCACCHDc_7lTBH_RwpwRGj6WWH8_uWCER9G8NJ-xNkI,949 +torch/include/ATen/ops/_pack_padded_sequence.h,sha256=1G2tHvzvuU96Yf1cYXuiTuzlOJA2dhRoZJBrdObZ3UQ,1687 +torch/include/ATen/ops/_pack_padded_sequence_backward.h,sha256=8vkG9yFcrhqFFEGxfEKumPts_S9ITwWe_Q_3OW-X4IA,2075 +torch/include/ATen/ops/_pack_padded_sequence_backward_compositeimplicitautograd_dispatch.h,sha256=yCm5tI9c10nPNYM7zmL6r_Z3extYX9DLNCBxJd2RGCk,1033 +torch/include/ATen/ops/_pack_padded_sequence_backward_native.h,sha256=aSrawL7pTMd413p0T6aaLwshudsZNkiqMbP_9hhjxm0,600 +torch/include/ATen/ops/_pack_padded_sequence_backward_ops.h,sha256=-xoeEeHL5tk4U3lItTCSgOLvWzrMt8lLDaWiXh1nm68,1309 +torch/include/ATen/ops/_pack_padded_sequence_compositeexplicitautograd_dispatch.h,sha256=gzDQ_JNr51ONerugHWK1PYQoR8nBXA8Vw-6N6qwNkZc,1226 +torch/include/ATen/ops/_pack_padded_sequence_native.h,sha256=fU5w8JCz9blMT5tMalTGu8lx-dBTe2LUVQDs9Lx9Qyo,761 +torch/include/ATen/ops/_pack_padded_sequence_ops.h,sha256=jWi_ZqRCU_oXI8TdEcxE51hIw4gu8fbkitdz3glJ-VM,2242 +torch/include/ATen/ops/_pad_circular.h,sha256=kQMNJY942X_f7bKWCiArqXAa8imVxG6EDPUhLM57Szw,1438 +torch/include/ATen/ops/_pad_circular_compositeimplicitautograd_dispatch.h,sha256=QtTIA4I4E2HDYpcvc3WSw_4m_eBNk-ZlcRvGpsIt3Z0,885 +torch/include/ATen/ops/_pad_circular_native.h,sha256=D5ICJLx84gWSixTRlnt6Fo206aVJM5VzizuD2gM7sO0,526 +torch/include/ATen/ops/_pad_circular_ops.h,sha256=kicbZBO8hLj4RChZhnqXZG8ZG0AthdfW8Q-iRVq-AZI,1073 +torch/include/ATen/ops/_pad_enum.h,sha256=saEtgI1dgxEL71fAIeiU1lR0AExHTMXy7QgLokF7H6w,1728 +torch/include/ATen/ops/_pad_enum_compositeimplicitautograd_dispatch.h,sha256=2_n8ZZhJ70-ctVoRrRQ3J1lxyXjhLCAwWFeGPUucn30,989 +torch/include/ATen/ops/_pad_enum_native.h,sha256=HgE6DQ-50FhkcTDU-ntxXL7DcvT3YiJZB_BI7nqzWvQ,578 +torch/include/ATen/ops/_pad_enum_ops.h,sha256=6fEvR1yagJxSYMonAbb-mSVAIStlabkq7ooKyrDOFiE,1208 +torch/include/ATen/ops/_pad_packed_sequence.h,sha256=0AEIM-frg0HCeMYp1Bs6aPRqq82sgRI8ErMexACpOKo,955 +torch/include/ATen/ops/_pad_packed_sequence_compositeimplicitautograd_dispatch.h,sha256=9G5cHee8yRICx-GiKm1ArlAkMn5awQqQHH3xTIYGO1Y,909 +torch/include/ATen/ops/_pad_packed_sequence_native.h,sha256=D2drAnfTw5NiVY5gSyKAUB8H5pOzeHm_YlDYnyqkbB4,632 +torch/include/ATen/ops/_pad_packed_sequence_ops.h,sha256=pKEurR9nKg4d7M1QfVIh6GPGeeHoH9TuvOnLyDzghlQ,1439 +torch/include/ATen/ops/_pdist_backward.h,sha256=8LdUUUIgp7nwaxkq10CrCcZ6pdkD1szAFoZ54eyiEkk,1444 +torch/include/ATen/ops/_pdist_backward_compositeexplicitautograd_dispatch.h,sha256=H77KYk4noXgKrj5PWFq6QBNLGCcFXWJelo8ra8uHptk,1007 +torch/include/ATen/ops/_pdist_backward_cpu_dispatch.h,sha256=a0N0hDzke-MrHpOOshIQ0d5cDt3owOjIuhHw-GN33vw,790 +torch/include/ATen/ops/_pdist_backward_cuda_dispatch.h,sha256=X_MnIgPf0TDhjxhvF0WBUqtHBCudUXjakoj4wD_y5Cg,792 +torch/include/ATen/ops/_pdist_backward_native.h,sha256=_2QZ06KC2lQhgMvKGnXFtxcOd9CCkhcccJ-5yeLQ9e0,705 +torch/include/ATen/ops/_pdist_backward_ops.h,sha256=SXQPjx-HpAQqbw1Sr6Xln_nR2k42huYpzFBLyBvaREA,2056 +torch/include/ATen/ops/_pdist_forward.h,sha256=Xi_iccHOMjaiwUysbw4fSVM8jx-EJz6pMDvMW9DCz3Y,1171 +torch/include/ATen/ops/_pdist_forward_compositeexplicitautograd_dispatch.h,sha256=rF6HXPJB3pFFLxcZ0POzqR-3Qk0XtPoA7s2EsT8nhnY,905 +torch/include/ATen/ops/_pdist_forward_cpu_dispatch.h,sha256=u2s3-RvtmlNDg1NunA4fvlG4zmeIOUQmwDGt7ZLmWFE,740 +torch/include/ATen/ops/_pdist_forward_cuda_dispatch.h,sha256=cXE4nR7YrJpW095VS1G6BQV9PsdQs5CfvMYxIiuODws,742 +torch/include/ATen/ops/_pdist_forward_native.h,sha256=mOSqVHNlCVzTHgXPAKpeMN29hyuapKKi-fSCcws24V0,603 +torch/include/ATen/ops/_pdist_forward_ops.h,sha256=pxce3iLIcgoiuNMu7s6251eVgv3vl2z5Zq_C8rTbQ6s,1716 +torch/include/ATen/ops/_pin_memory.h,sha256=Hjt9TR6cZaagjm0pzRGSCLKJgaiuMo98E0_rkMan_rc,1280 +torch/include/ATen/ops/_pin_memory_compositeexplicitautograd_dispatch.h,sha256=4XShubxy2jc8v3MGWvkLlBy-xqA8-4q3MF0Bau317Gg,958 +torch/include/ATen/ops/_pin_memory_cuda_dispatch.h,sha256=TXJ41s1ow40ooPHlTheJOfRPQubd5yUqT7t2czO9G7E,774 +torch/include/ATen/ops/_pin_memory_native.h,sha256=BIE9XSgbwKLapOrYZS3fyPh26pJsDHBdsta9O8iwwK0,774 +torch/include/ATen/ops/_pin_memory_ops.h,sha256=7hDrrO6VdPtc76z7TIrPj-fXCXcDMVVdrduu7Rqnt4w,1852 +torch/include/ATen/ops/_prelu_kernel.h,sha256=nI592K8I1inKK2TrsJSTBcFa_mY6S7_2ZNMq1lvhlpU,703 +torch/include/ATen/ops/_prelu_kernel_backward.h,sha256=RXRQFcf5WImYL0se2GUiOHryv1b8MjkRtrlVf4LUwBg,839 +torch/include/ATen/ops/_prelu_kernel_backward_cpu_dispatch.h,sha256=BmPFx4Bemy8zHsuSquGti1mRPy_wR76KKnfI9ixHFtI,820 +torch/include/ATen/ops/_prelu_kernel_backward_cuda_dispatch.h,sha256=C0v-2Nhx_sYL7mHSbmw4Ct6IvA92oPLq_PHThlNzhsI,822 +torch/include/ATen/ops/_prelu_kernel_backward_native.h,sha256=tbUMWSGXPGxeSUqN0YRqoqU5x-iSxSaMUSbluEnnLr4,740 +torch/include/ATen/ops/_prelu_kernel_backward_ops.h,sha256=ufMctZ6ftVAsd7FCmLseylTL3Bf5ZEijlaFAwzIOpKo,1293 +torch/include/ATen/ops/_prelu_kernel_cpu_dispatch.h,sha256=qNj7fNqiaxYmsptuzl8BBDkus1kso9PrFRkXxQzW3Ec,754 +torch/include/ATen/ops/_prelu_kernel_cuda_dispatch.h,sha256=G5XP80uUHs7AlHaKFBER66SCi6zJG49wdu4v-Ki0Cdg,756 +torch/include/ATen/ops/_prelu_kernel_native.h,sha256=6JftrS3aeO22Wy9oJbFv7lM34vtODW_Dkk28-EG06Ec,710 +torch/include/ATen/ops/_prelu_kernel_ops.h,sha256=yCbGPMp2eSydUw8GfPb5b5vW8-0QFYKLHhOCgNy3j6A,1077 +torch/include/ATen/ops/_propagate_xla_data.h,sha256=pFOSu9MY2ZBLGRAp0bl20neksbAGZrblLDDeapJbT1k,720 +torch/include/ATen/ops/_propagate_xla_data_compositeimplicitautograd_dispatch.h,sha256=wsy94CSqBa32NaPK8WoQg3q0WVuOMNaVcMfuKuYRY9Q,799 +torch/include/ATen/ops/_propagate_xla_data_native.h,sha256=2HbWgzCRY2jLKlEf-iGF0isMYKShNQpH3icWyXDIXkI,522 +torch/include/ATen/ops/_propagate_xla_data_ops.h,sha256=B_uvuKU3DFRCxjpkT8qnGoZBRukTJuuKy7v-eJuF2gU,1076 +torch/include/ATen/ops/_remove_batch_dim.h,sha256=2JKLyYPGNFlCwIOlUxkIamqXsC3g8kpFfWi3C1qqauQ,789 +torch/include/ATen/ops/_remove_batch_dim_compositeimplicitautograd_dispatch.h,sha256=phcRcWafxPoNscTpHVDZUj1YOsXcm1HtKDZHdvYyuVw,827 +torch/include/ATen/ops/_remove_batch_dim_native.h,sha256=IEYmq0SXZ14RZIFNvA_pZh-5TVRrUOer_LG63BRav7s,550 +torch/include/ATen/ops/_remove_batch_dim_ops.h,sha256=RX3K0HMRAGhyq93C0qHP_ql5HOmk8-z1s7gwyWlZqnI,1171 +torch/include/ATen/ops/_reshape_alias.h,sha256=DtcVUwk_4Lx-fWVFGmkp485nQN-yInjcVRPuA-IJV2o,1693 +torch/include/ATen/ops/_reshape_alias_copy.h,sha256=8cBKxrJJ1CwU8QGvEMb773ZgNo2NyH1YKzpyuY9MiX8,4578 +torch/include/ATen/ops/_reshape_alias_copy_compositeexplicitautograd_dispatch.h,sha256=cS5BkWxA2x-5DTjbVBtIdSrO1nVMxssyeFxVNZEaayg,1290 +torch/include/ATen/ops/_reshape_alias_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=_CSBaxNQzhLePnilQ9owacP8PBKrP2qlPbk9ef42CTg,977 +torch/include/ATen/ops/_reshape_alias_copy_native.h,sha256=dcmaofNPll9Zaqk6raoMZIv_WQbj0IAmPt6DCOjK3qg,713 +torch/include/ATen/ops/_reshape_alias_copy_ops.h,sha256=4bAH-cdxmTpFiJJR-Be1B09koxWg12wCwxp6bhooZ8Q,2032 +torch/include/ATen/ops/_reshape_alias_cpu_dispatch.h,sha256=DdyfDNAZC0K8R_mkZv6gxXYf_NssjGVkhuPVUVu-Kow,897 +torch/include/ATen/ops/_reshape_alias_cuda_dispatch.h,sha256=xhTPREjP6wX4Ihy0FeZZwGNFSeskRVikcUPOsVORxNY,899 +torch/include/ATen/ops/_reshape_alias_meta_dispatch.h,sha256=FASzp0vwnNXOpA0Ri3aEypREKxq7W3edJ0BO5rrsgNA,899 +torch/include/ATen/ops/_reshape_alias_native.h,sha256=3aXDqiuIOB1GjV_B9_sGkgTekPQBEJhYfjkFM3ghdTQ,541 +torch/include/ATen/ops/_reshape_alias_ops.h,sha256=CcPCVqxKPi5jd0k2-ENO4lz_kHZIIRtSpVc0sIrJ2Mo,1179 +torch/include/ATen/ops/_reshape_copy.h,sha256=ViFzzz5aFtPcae-J_Re5nZrvvReJ_GNEPYTwG4Ve-Mw,1448 +torch/include/ATen/ops/_reshape_copy_compositeexplicitautograd_dispatch.h,sha256=24ldQ0ihNYXysT-kNOVChfQn8sc24KGFnDWi92E0A4w,887 +torch/include/ATen/ops/_reshape_copy_native.h,sha256=IicW3MXPlL00Z3yfE-xlwf0-3lqSCbMjcgRS9ULht8o,527 +torch/include/ATen/ops/_reshape_copy_ops.h,sha256=_5un3lWGnPCTT2VrCGfJvitGEmv9UKjtjr39uQQG7PA,1076 +torch/include/ATen/ops/_reshape_from_tensor.h,sha256=X3rMKFm6Zd14K8whdOTD7YQ6crLysxGhFUsZQurDkOs,728 +torch/include/ATen/ops/_reshape_from_tensor_compositeimplicitautograd_dispatch.h,sha256=RL6sIJViMUBVUHxeYzsgX0UAk3FeW63g8nx9qKJL0CA,804 +torch/include/ATen/ops/_reshape_from_tensor_native.h,sha256=GZ0ny1_ohhbbIb2-48-gvHy9bptGvfGjlXD7-a2y3_Y,527 +torch/include/ATen/ops/_reshape_from_tensor_ops.h,sha256=DoR9ubRDjeBRnhLsIo1n2ettqAUZK3xK5j0nikqDo6M,1095 +torch/include/ATen/ops/_resize_output.h,sha256=BVOWr4NUtRanq3O6w1qp7Muq4gIxaM8Yy4hkuYxrvnE,5424 +torch/include/ATen/ops/_resize_output_compositeexplicitautograd_dispatch.h,sha256=pgloaeJYto62i30hAB1KicDJoHaVdx_jY5c_9VzXpgM,1507 +torch/include/ATen/ops/_resize_output_meta_dispatch.h,sha256=3vo-D6zoG0rJv3vIMlo7tbMGBATzWK6JzR0y_EI68h0,903 +torch/include/ATen/ops/_resize_output_native.h,sha256=6uaiZvHrvSozcoChz2bvXpbImcrEIXgX32qPfZ2a7KY,809 +torch/include/ATen/ops/_resize_output_ops.h,sha256=UIVJLS-6gBvsSbZarHKIN9wMz6QkcpBjdjhrAHJze-8,2725 +torch/include/ATen/ops/_rowwise_prune.h,sha256=6867I0oSG2hx7djfILe3W95vxrWE3JcoOji44Zkq-bs,846 +torch/include/ATen/ops/_rowwise_prune_compositeimplicitautograd_dispatch.h,sha256=TocpoDp_G7GtscYXJughflRSJ-y1EMt8bPcfnXSctAM,865 +torch/include/ATen/ops/_rowwise_prune_native.h,sha256=fUEvmQ_EtarUAK8EeZ_lnVK8I-D_lQAliECPxhXTwqs,588 +torch/include/ATen/ops/_rowwise_prune_ops.h,sha256=oAF6NIgt3drcgLhu6ke_wWCglBzZLoVtn6ywI3O4g_Y,1300 +torch/include/ATen/ops/_sample_dirichlet.h,sha256=b-pfIIPcKxbMJu2zf-0R-mwEXqkLqPBKO3phyPXvwuo,1385 +torch/include/ATen/ops/_sample_dirichlet_compositeexplicitautograd_dispatch.h,sha256=_jEfctglOn9h6nXl74yl80SApCGPaB3ifrGGzz53mPo,982 +torch/include/ATen/ops/_sample_dirichlet_cpu_dispatch.h,sha256=MXygKZihHA7YdjyjExBLOisZbpfBs9lFwTwqztr3UKo,784 +torch/include/ATen/ops/_sample_dirichlet_cuda_dispatch.h,sha256=ft_2KtHtoRXad_TQ0eiS0utLKci6XmnFjSoT7aJkDdI,786 +torch/include/ATen/ops/_sample_dirichlet_native.h,sha256=3rjL50WncbwHn-BEHcdtOWUEgy_m8aD6kkS-Da-ly8A,797 +torch/include/ATen/ops/_sample_dirichlet_ops.h,sha256=4SB-LI3JP1Dpm-5a1TR93GHHCg0jSJ7mLEghtK4eGIg,1930 +torch/include/ATen/ops/_saturate_weight_to_fp16.h,sha256=XEsg0PEWUiE0qynMu6WqFSAGPOFvLDmTFA2Hi5Cg0-A,703 +torch/include/ATen/ops/_saturate_weight_to_fp16_compositeimplicitautograd_dispatch.h,sha256=aftCRpQ_qbwk9mA6C4LJ68KjR2Tk5Zj4FopWMN246LA,784 +torch/include/ATen/ops/_saturate_weight_to_fp16_native.h,sha256=4xICEJqRAWfHfsU47FuMplmpFIdGxVKxlPqL0DujqNw,507 +torch/include/ATen/ops/_saturate_weight_to_fp16_ops.h,sha256=6FIvNi48DEMk98zoWUyuEDxpmq5We4DAX4CGQfMz17w,1027 +torch/include/ATen/ops/_scaled_dot_product_attention_math.h,sha256=06BDHseRxCs5AOYunMj68JiSf5XI4Th5dxjprG0yNwg,1218 +torch/include/ATen/ops/_scaled_dot_product_attention_math_compositeimplicitautograd_dispatch.h,sha256=iGGpWzgLPtkX51C4Jwm5_UcWSK88e2ZB2ed6oHwRWJE,1053 +torch/include/ATen/ops/_scaled_dot_product_attention_math_native.h,sha256=qkhHTfjjjboRTnJsjBkNuCsjT3EKGGBp7MJKboyxS3o,776 +torch/include/ATen/ops/_scaled_dot_product_attention_math_ops.h,sha256=JnJYvfood5Q6c1tWyQWa3-XQWbPWiwRCDfjfTxMTGbs,1840 +torch/include/ATen/ops/_scaled_dot_product_efficient_attention.h,sha256=38K5Xz1M68CQk5aXKqmCNvYtpPT3Ec4Z0i8vBeeDUl8,1290 +torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward.h,sha256=9UkQMa6_LJ5OlLuRf90zo3BEemImCifALK5Mc5n2xQQ,1563 +torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward_cuda_dispatch.h,sha256=lFRw9YMwmzkIhjUG-kvDC4FYKP7qGVI0gJjHVRPcKgY,1162 +torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward_native.h,sha256=B8t4oBoO7-T7-ceiWIuwNHjgIbiiv3GbxnLT3tcRuAU,932 +torch/include/ATen/ops/_scaled_dot_product_efficient_attention_backward_ops.h,sha256=90TKwjkzj3XnAiHMysD0Xi9R3h_PttUwKpYsR6aFU48,2364 +torch/include/ATen/ops/_scaled_dot_product_efficient_attention_cuda_dispatch.h,sha256=gtKSydEja4Yuc3blJpjQN5BCPrYV55D9ZsTaQISdjkg,1009 +torch/include/ATen/ops/_scaled_dot_product_efficient_attention_native.h,sha256=Ov1btLNI47hn0YEA3Cs2jhBkXJzwzKFlsxClEb17qFA,1138 +torch/include/ATen/ops/_scaled_dot_product_efficient_attention_ops.h,sha256=cuwhsZ_TePYbw_Yibavvkbh8EwZIrcHqsHwtR11Sa5U,1899 +torch/include/ATen/ops/_scaled_dot_product_flash_attention.h,sha256=Edr8enqp7kTc05ai-zYdmsx7EISUe0yRhD0Y6b-A4WQ,1352 +torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward.h,sha256=drvCP7tD4rtatjck72EPmnPLJRyOhF3d1caFZMO6yuM,4307 +torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_cpu_dispatch.h,sha256=pw6E0bFauUjWMWTqDN-xEd24SJF5A7xoXq3SgtEDwhI,1669 +torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_cuda_dispatch.h,sha256=18iaNuuptbpI9IhVVg-OQ2FakOm5xHINCNnDTa9VcK8,1671 +torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_native.h,sha256=S8Yj878dfWur8R0JbqBJ-XI-ZpC3LwHYae6GRrGFC6o,1931 +torch/include/ATen/ops/_scaled_dot_product_flash_attention_backward_ops.h,sha256=XfGgdX48g_uzaJFUqlzErr-55gSn09U3-uU1FMbgpzc,2438 +torch/include/ATen/ops/_scaled_dot_product_flash_attention_cpu_dispatch.h,sha256=umZ2GikNWPe_uWLT-N0mG5IKr5X1iHj9U3l6Jb-XcNk,1020 +torch/include/ATen/ops/_scaled_dot_product_flash_attention_cuda_dispatch.h,sha256=RkkyaWBC9gpCvUfn1evEfaaRQyDBUWp5Eaokoq3vqtw,1022 +torch/include/ATen/ops/_scaled_dot_product_flash_attention_native.h,sha256=D43unVoV8ZibV4cdC4a5QGxwrokN7HZI2GRv2D6aBk4,1522 +torch/include/ATen/ops/_scaled_dot_product_flash_attention_ops.h,sha256=3cYy95fphMZyUf0Dm2PsqDCKC2ME09Vp16uiqEbSs30,2004 +torch/include/ATen/ops/_scaled_mm.h,sha256=rvD73-DM7COb89f9H7_BziBqGfAOEFi9n9-rjVui4RY,2815 +torch/include/ATen/ops/_scaled_mm_cuda_dispatch.h,sha256=WhNenhrgHYReDsdQIJLawblBaCYCt_F7ypHprLDhU7E,1861 +torch/include/ATen/ops/_scaled_mm_native.h,sha256=7CTkInPXb5WDpRgBjBgYiS-ZtdFCmqBxhb8mV6Sy76k,1211 +torch/include/ATen/ops/_scaled_mm_ops.h,sha256=YrnVgaYB-IPq6c8U7v7E7ag1Q6mUqsT9jm-zjCWSCgI,3632 +torch/include/ATen/ops/_segment_reduce_backward.h,sha256=YAfcnh4svT2Ha9bv2uTS6hk7vaENDSXPKP2YAkHm1cI,2419 +torch/include/ATen/ops/_segment_reduce_backward_compositeexplicitautograd_dispatch.h,sha256=PnnATc5Y6DSG1PxLQ8QubpLWvitWaya7J-ACjv4KIXM,1364 +torch/include/ATen/ops/_segment_reduce_backward_cpu_dispatch.h,sha256=hFwFklH0wWgmcn_hf_qSa-Sm3TzqZKwQ7dx8xR1tBuo,979 +torch/include/ATen/ops/_segment_reduce_backward_cuda_dispatch.h,sha256=7LfuZvEYFY-UWaHGA7pcvPtM_cZeJcQgLVEiIPbYFrk,981 +torch/include/ATen/ops/_segment_reduce_backward_native.h,sha256=lvTJjWhXpDeMwOF6aicsap_4WP5jCkDx-NujbUsEEHI,1069 +torch/include/ATen/ops/_segment_reduce_backward_ops.h,sha256=GUAWVtaqUIVJi5g3jJIKA_yksVykiVkbcfo3Fzqi1Bk,3161 +torch/include/ATen/ops/_shape_as_tensor.h,sha256=eviFT_z4AXVcqab9tegbu-aw3l5FQiokZUG3Zn6MzUU,665 +torch/include/ATen/ops/_shape_as_tensor_compositeimplicitautograd_dispatch.h,sha256=ZCQ-FBAebbCO5_RewQrirlmsICZLi6el5fA75zifXcI,774 +torch/include/ATen/ops/_shape_as_tensor_native.h,sha256=yen5tCjm_NwXmPQbi0-X8gwL9HIUvHEns2-IN_bbqn0,497 +torch/include/ATen/ops/_shape_as_tensor_ops.h,sha256=MTjt7AEYQ4xtinWUpB_wBpW6qk80bI42y6xbnrq7i78,997 +torch/include/ATen/ops/_slow_conv2d_backward.h,sha256=NaYFQy9UJxQnbATJOePh2h1rf1PQsxwlQIdLQ0w4Ia4,14568 +torch/include/ATen/ops/_slow_conv2d_backward_compositeexplicitautograd_dispatch.h,sha256=SPKoxCWOVsZtWFFMDNgntymGWajJRm4vycwcgTfdJs4,2122 +torch/include/ATen/ops/_slow_conv2d_backward_cpu_dispatch.h,sha256=AjxOTWVSuWk-ZehnE6JzFVMUWalOi1RJP6rKX1Axzn0,2585 +torch/include/ATen/ops/_slow_conv2d_backward_cuda_dispatch.h,sha256=u2bRQ_iKJPWpwOMyyxNezBlCRy4rO7Stu-GtiQU_Jyo,2587 +torch/include/ATen/ops/_slow_conv2d_backward_native.h,sha256=jEQpaoxvJbI_a9VUfrXgqsLD4j1beoHXe3SfYlPNGCU,2027 +torch/include/ATen/ops/_slow_conv2d_backward_ops.h,sha256=8TOYVtPJbXVOpEFuXid5R3AnDHnMtlaEDOrLAPRIdc4,4937 +torch/include/ATen/ops/_slow_conv2d_forward.h,sha256=vstRNLoSK-fbw5Bm8LCmHaHzlZ7g4SrQa8ZOPRd-Xxw,6775 +torch/include/ATen/ops/_slow_conv2d_forward_cpu_dispatch.h,sha256=krwJi57TnQhyDm1ElSJngU2p9ayYyrFYbl-w1RL7oRA,2111 +torch/include/ATen/ops/_slow_conv2d_forward_cuda_dispatch.h,sha256=alskK2_M2gzTC7_5qnqmr_9IecBIPY5YiB7gW9iVd_M,2113 +torch/include/ATen/ops/_slow_conv2d_forward_native.h,sha256=mdJGvmYtNzVPfQ3fHgpZkPVUWurcDlW3jjaqUphnrFo,1353 +torch/include/ATen/ops/_slow_conv2d_forward_ops.h,sha256=Z3G800PR7KkdRc3Dech830MY9xK-ZBkuEXq1PC5UQbs,2734 +torch/include/ATen/ops/_sobol_engine_draw.h,sha256=_OdPFyazAEyU3cNYndV4tw4tAEtkXmi0mgOdnBKhzxs,959 +torch/include/ATen/ops/_sobol_engine_draw_compositeimplicitautograd_dispatch.h,sha256=uzHbjRnAIojSZUKKAhpiQIH6WKS4GfZzjOe1PaNVl6g,923 +torch/include/ATen/ops/_sobol_engine_draw_native.h,sha256=vRXy3Dt92XZk6xhD_XHbkAHlGneL9VegIK7TyeFtf90,646 +torch/include/ATen/ops/_sobol_engine_draw_ops.h,sha256=8srPDoxI3fCnmj2rde4DyZDvT2A72jvjxiwtTPcFuoA,1490 +torch/include/ATen/ops/_sobol_engine_ff.h,sha256=gP-kLzC06VGS3XS4a__CPjLzz7jhuZ5gTayXlcboXAE,857 +torch/include/ATen/ops/_sobol_engine_ff_compositeimplicitautograd_dispatch.h,sha256=oN69ykgERDPFAUqxKcMz4J14glgmlVnjpQWGvxPGh_4,855 +torch/include/ATen/ops/_sobol_engine_ff_native.h,sha256=4zNg-dPfX7jDFBJDdD82_EwaF-gDVhESAr2sueiTbMA,578 +torch/include/ATen/ops/_sobol_engine_ff_ops.h,sha256=4Ui3Ic9FO7YLzt1FZl47xwuaKAs9U04LLKOqrF3Gw00,1271 +torch/include/ATen/ops/_sobol_engine_initialize_state.h,sha256=gKjzwqS7GniqzIqZ6zUDXhxyWPxf3A7IeyQrXpj39dE,773 +torch/include/ATen/ops/_sobol_engine_initialize_state_compositeimplicitautograd_dispatch.h,sha256=Xkt5-X095rrIFIOK6rbCCOYagoBCA8oLmeWBdE7V4pk,804 +torch/include/ATen/ops/_sobol_engine_initialize_state_native.h,sha256=lvJzk2xBEoysjORflAGqoloomHHnvxNGmNtXDAFvkJo,527 +torch/include/ATen/ops/_sobol_engine_initialize_state_ops.h,sha256=RYq71Hx9FTazydpyrW2RPjx84ODjCop9YmuRL24w2bY,1100 +torch/include/ATen/ops/_sobol_engine_scramble.h,sha256=5NLws6Fyo9WMSVG0wbkXvUeBVUJpONcYr1aiQdTeqG4,782 +torch/include/ATen/ops/_sobol_engine_scramble_compositeimplicitautograd_dispatch.h,sha256=rf2qEeQ3UScwdPD7bdd8jhU5hhrwTb6YCANYoqMjd-k,820 +torch/include/ATen/ops/_sobol_engine_scramble_native.h,sha256=xv4-xFTggh2pe21QTRybLwFTELlj7cW4C_s1L7nOjEI,543 +torch/include/ATen/ops/_sobol_engine_scramble_ops.h,sha256=EFxQLWKJyu27flsfj_6G8hTct9by5Xi3TD9HtI3D0yQ,1156 +torch/include/ATen/ops/_softmax.h,sha256=kjGt5EqhvjT09scUfxuKt1limG27eHbwfA6-2Iy9jK0,1281 +torch/include/ATen/ops/_softmax_backward_data.h,sha256=QyplgexXt3dAOa4T6sB8tIUKnDUGNoYTuWt6CZdrbZ4,1706 +torch/include/ATen/ops/_softmax_backward_data_compositeexplicitautogradnonfunctional_dispatch.h,sha256=AyTIfPXb_mSBKwj7rFSev5REwPB0SZxUkUW7o3riwlk,881 +torch/include/ATen/ops/_softmax_backward_data_cpu_dispatch.h,sha256=bElt_gfrs4qXOP8a_fQJ2vrYFtcco7EU_uwwgp1AN_0,1164 +torch/include/ATen/ops/_softmax_backward_data_cuda_dispatch.h,sha256=qv7BKWg1r1FXzxI1ltZC4siFS9LyiZafQ9lnvAHrxYA,1166 +torch/include/ATen/ops/_softmax_backward_data_meta.h,sha256=z5WLMhV5AA6XMJwRLuTLzWERcBIyb7PlDHy0A34OHwg,677 +torch/include/ATen/ops/_softmax_backward_data_meta_dispatch.h,sha256=El7vZpGqS_wLRRTlcPi2juas9dtwWg-UeE3eBhCmWFY,1166 +torch/include/ATen/ops/_softmax_backward_data_native.h,sha256=sljuEeVlbm-dUj7_eHHQvF7fAkPIDoKIHeRglOupoSs,1135 +torch/include/ATen/ops/_softmax_backward_data_ops.h,sha256=g5SVE3Z0GLVsihyY_oawrCYlh7GOuef8H8lAU6ctvtc,2207 +torch/include/ATen/ops/_softmax_compositeexplicitautogradnonfunctional_dispatch.h,sha256=svyT6QaGMAIAHozmiEuUso5WkiZPc4FTRse5XhmOqPA,825 +torch/include/ATen/ops/_softmax_cpu_dispatch.h,sha256=pmc7Nl8jx12s3tJH_yPd2ZxcCI_GDVgzFOzRVvOGw7k,982 +torch/include/ATen/ops/_softmax_cuda_dispatch.h,sha256=C-jhRtEUJPSJMeiOF0vP8O-Mx8bhnNiaN0ZEFILHwTA,984 +torch/include/ATen/ops/_softmax_meta.h,sha256=qcgKPq4WCsWIzxINhRZYDiCQQR_QZPH28SDlA-9Jy7g,621 +torch/include/ATen/ops/_softmax_meta_dispatch.h,sha256=JpHotH4q9vQmja9hgTRK7XskfqU2peQ5fD9qgtcv1qQ,984 +torch/include/ATen/ops/_softmax_native.h,sha256=311Uhvit6RGm_hs5m0D50ySLDVY7rwPZNrhwMVA2skI,1021 +torch/include/ATen/ops/_softmax_ops.h,sha256=OmOJrA5MyYVDcJZFZDYWhgWI2kOQbg-GcVyfKbKvoZI,1822 +torch/include/ATen/ops/_sparse_addmm.h,sha256=ckfgc9ZJtmt6ENs59U9yXidsgNXxxbljfYT0-FK-c34,1645 +torch/include/ATen/ops/_sparse_addmm_compositeexplicitautograd_dispatch.h,sha256=QTGVUSqtiKwq3EVtbVY1kvPMYFYVCGez-gZW9UNsSG0,1253 +torch/include/ATen/ops/_sparse_addmm_native.h,sha256=nBd2-0wbMblMg2wn9P33kN_3mNcN1YhS5sotTbWz0BI,785 +torch/include/ATen/ops/_sparse_addmm_ops.h,sha256=FGI6RwiC8BmY_a7bayKcVGivudFATVukCgmzMJzuWb8,2313 +torch/include/ATen/ops/_sparse_broadcast_to.h,sha256=Wi9nDDQBHgjGDBxBh4j8AmRTh2PhB2P-2ysE9EY4DdI,727 +torch/include/ATen/ops/_sparse_broadcast_to_copy.h,sha256=YsI0lbpG4aPhlX1KCZiuSvq2YX-IYqXKoAnNLpv2frw,1325 +torch/include/ATen/ops/_sparse_broadcast_to_copy_compositeexplicitautograd_dispatch.h,sha256=eDKmw089UZ0MxTEbTSAtd2bW_WIkcDgTiw7e_C3494E,949 +torch/include/ATen/ops/_sparse_broadcast_to_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=nTpWGiCH7KauFWBEVOW2YlzqFoh_qmG9LFcrWJnAEKw,831 +torch/include/ATen/ops/_sparse_broadcast_to_copy_native.h,sha256=xRBAr5rlSzBPMcU1yFkpUjPhNbSzy-tpp3Tfy8bDrQI,647 +torch/include/ATen/ops/_sparse_broadcast_to_copy_ops.h,sha256=g41nhOFl2xN1NAdJ-Lvj-Pgusd9KwXDV04z-lMMW1fk,1850 +torch/include/ATen/ops/_sparse_broadcast_to_native.h,sha256=YbgYJlq3V9GqzobYcKRpMdNznIxvouyvUKpX4eQWyyM,522 +torch/include/ATen/ops/_sparse_broadcast_to_ops.h,sha256=dm9h_3E1RrC5Ije1Bf15fAro6-BsqvY_kL3Wp3pf584,1088 +torch/include/ATen/ops/_sparse_bsc_tensor_unsafe.h,sha256=yf_boHVHM2zjGLiAO4v9G124WOT7NYzUNSSc-p31XzY,1755 +torch/include/ATen/ops/_sparse_bsc_tensor_unsafe_compositeimplicitautograd_dispatch.h,sha256=HrE28e_LMUJjKORfkqtcdQRZa3lVmMDcA5s_WANlnlc,1201 +torch/include/ATen/ops/_sparse_bsc_tensor_unsafe_native.h,sha256=h3Z5A_kYg3R1Yj7BfamKKLoNAul-6jH3gSdphCIbQ5Y,744 +torch/include/ATen/ops/_sparse_bsc_tensor_unsafe_ops.h,sha256=x7rA9OnghSgI0UfDccH_BrdwZBmSPqiOtqF9dJoMOuA,1786 +torch/include/ATen/ops/_sparse_bsr_tensor_unsafe.h,sha256=hQGdS3WruJQEDBM4ml61OOsDmt80hgvZw_1jEt3u8ro,1755 +torch/include/ATen/ops/_sparse_bsr_tensor_unsafe_compositeimplicitautograd_dispatch.h,sha256=6JmTuFY2m01iGA9O7P80xDZu05jBdNxd-Oz_zxaYVj8,1201 +torch/include/ATen/ops/_sparse_bsr_tensor_unsafe_native.h,sha256=vPVJWbDn6aTcPViqF8nu0jYewzqdbJv1d0_no01P6ns,744 +torch/include/ATen/ops/_sparse_bsr_tensor_unsafe_ops.h,sha256=lw1cBnFHeaPfxQ1ZUFYjylahqUa_5XVcbqtr6tPV8ys,1786 +torch/include/ATen/ops/_sparse_compressed_tensor_unsafe.h,sha256=8IWWysfCYTtaxqCSWZxYlE7WYG7zJYZL289a5lFVzDM,1852 +torch/include/ATen/ops/_sparse_compressed_tensor_unsafe_compositeimplicitautograd_dispatch.h,sha256=r8BmaQihxIooW2FkXp5v3PRI_8EbITjcPSLtJpz2j8s,1231 +torch/include/ATen/ops/_sparse_compressed_tensor_unsafe_native.h,sha256=_gkgfndSxLVVyb4AoA0GUf_rUTMVw566JgSWJgz7p0g,759 +torch/include/ATen/ops/_sparse_compressed_tensor_unsafe_ops.h,sha256=eVjQOtNpBSLm19B_y2lmJAAlZEIEQqomKGflGtzn8s0,1831 +torch/include/ATen/ops/_sparse_coo_tensor_unsafe.h,sha256=KITUqLotZGeLxM_UTt7zfMrOLHgbxrU_9l2pHGsiH0E,5239 +torch/include/ATen/ops/_sparse_coo_tensor_unsafe_compositeimplicitautograd_dispatch.h,sha256=VKVtxLd67-_0GEsCzHMfelagQXh302qHmVj0QHgB1Z4,1728 +torch/include/ATen/ops/_sparse_coo_tensor_unsafe_native.h,sha256=QVmrIAZtkW0kFLsxL_JTRyYMs68g2Zk86t5LauewqI8,765 +torch/include/ATen/ops/_sparse_coo_tensor_unsafe_ops.h,sha256=4RycN2hTcKpS8vEm9TmGvh9eashMMA_3L_N55-EosPM,1796 +torch/include/ATen/ops/_sparse_coo_tensor_with_dims.h,sha256=QX3HwIrqq5AVEcN0n6f8pDpMo83UnJ6Zyx4CE7_-5Zc,2295 +torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors.h,sha256=oFWzRls_0O4tesVi8KcE-ebP2yhMh03jP4Sz0MTaJ6Q,10540 +torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_compositeexplicitautograd_dispatch.h,sha256=JO_hNfqCx8kC66q2JSm7fozZjviKdlWvjn0Fj91Jdj0,1708 +torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_meta_dispatch.h,sha256=KIQ8yXPha6LGHsBQ-Ivesr2ZPXilI8jwEXurI2BHdW8,1896 +torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_native.h,sha256=bmjB_HjM_i0CZ5-62uKgLo1lDuDx2mjfoMeb_QDhrIE,1058 +torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_ops.h,sha256=wtvAFR2GKqlPycRZVzSGTJyqPL4XXECkr3fydt5k1jE,3121 +torch/include/ATen/ops/_sparse_coo_tensor_with_dims_compositeexplicitautograd_dispatch.h,sha256=3_qpd3dRzrUGpaNZVexCFanmNev_Jt5MHsTFkOIbGPc,983 +torch/include/ATen/ops/_sparse_coo_tensor_with_dims_meta_dispatch.h,sha256=tOmaxdq05SCO2uZFKgDE1sLy6VOMjKnvdgEpbSjKjYI,1056 +torch/include/ATen/ops/_sparse_coo_tensor_with_dims_native.h,sha256=qI4Qsc9A3OZRiSM7DrA8cV8_p_-_e9ais96Dt5Ix3kg,822 +torch/include/ATen/ops/_sparse_coo_tensor_with_dims_ops.h,sha256=GmunWb3GSXgBzT2b7bupKfir02JVUjzD_pjqEoab8Rs,2429 +torch/include/ATen/ops/_sparse_csc_tensor_unsafe.h,sha256=hfGeLwmy2JV0dbXvMwO3ZgIi1mRb2qOisiKcsPuNp3o,1755 +torch/include/ATen/ops/_sparse_csc_tensor_unsafe_compositeimplicitautograd_dispatch.h,sha256=pP7PL_oswFB3kTTCmc5X5EdjEsl28m--n7T5P6iEVZU,1201 +torch/include/ATen/ops/_sparse_csc_tensor_unsafe_native.h,sha256=SwBjJ2wcZhgaNlkcu0HyivzwH5HmEV8ftzO4wAcjU8o,744 +torch/include/ATen/ops/_sparse_csc_tensor_unsafe_ops.h,sha256=ComYqnovOazuwkWrPzu3XpLj6UCJwGV7L2w21M6tFSU,1786 +torch/include/ATen/ops/_sparse_csr_prod.h,sha256=MhCJdc2uZQADP9mV_yhkL6zc-r6yXiL4KJTT9IjQyGg,1663 +torch/include/ATen/ops/_sparse_csr_prod_compositeexplicitautograd_dispatch.h,sha256=Aqt35kr_pycSRK25NE7KpqfimbyLzgtBMCrYINmHJTo,1050 +torch/include/ATen/ops/_sparse_csr_prod_native.h,sha256=Qmk2VOUQ8DCbIQ0Wqvy6HLL41Yt_hyBOq-PhVW2_IBs,922 +torch/include/ATen/ops/_sparse_csr_prod_ops.h,sha256=5Lwz_nRc-_3BmoP_6d9sn2N0VKfWVFzxqgAovIFbRSE,2220 +torch/include/ATen/ops/_sparse_csr_sum.h,sha256=GShp0fn1Glpi9ovt2SDrOiIHggkdlF3uAdQuFEhXMf0,1653 +torch/include/ATen/ops/_sparse_csr_sum_compositeexplicitautograd_dispatch.h,sha256=78IbGs5JSLLiQSVjLhCnaL9dz9obMt56LMKf87vvBzA,1048 +torch/include/ATen/ops/_sparse_csr_sum_native.h,sha256=Zy28poTNzSllR2iGilTGmfOiICSQoRw5Ubg1BUGH5NA,919 +torch/include/ATen/ops/_sparse_csr_sum_ops.h,sha256=cieiu-w0E1eTRQNepiW2NJh61ulcXOgYghRXDsiRa-Q,2214 +torch/include/ATen/ops/_sparse_csr_tensor_unsafe.h,sha256=0wLn3hiB_tL41DfxKNRbcYaGRnnctgflsVVPg2aGc6s,1755 +torch/include/ATen/ops/_sparse_csr_tensor_unsafe_compositeimplicitautograd_dispatch.h,sha256=uJu8s014UNr_L7qjB2GyX07qAmGPRTfT5D8k1t0xlKE,1201 +torch/include/ATen/ops/_sparse_csr_tensor_unsafe_native.h,sha256=LEijBEkv5JbTBln6ICki8q-oB5fwYE7tWdJu-A_o-kY,744 +torch/include/ATen/ops/_sparse_csr_tensor_unsafe_ops.h,sha256=shLRCH3FKwOCDcceUcS54khGIPmpVTD0-K_-fU7jVUY,1786 +torch/include/ATen/ops/_sparse_log_softmax.h,sha256=vcD2f3b99izE2MObCLN4yqZ1eRc670nnPLtrq6p5KnE,1990 +torch/include/ATen/ops/_sparse_log_softmax_backward_data.h,sha256=d3JS7Z3zBCNGHko7qNSeE5CBKuPj8KYtau1qEj-tkks,1711 +torch/include/ATen/ops/_sparse_log_softmax_backward_data_compositeexplicitautograd_dispatch.h,sha256=MSFjlT3B14wEGoxznxPm5tgApZYCwmgXuIG-xfn0izg,1065 +torch/include/ATen/ops/_sparse_log_softmax_backward_data_native.h,sha256=hmt-A9loQShV7kixCiNM0fnWaDJSDVrU8wh7sfS5PPg,913 +torch/include/ATen/ops/_sparse_log_softmax_backward_data_ops.h,sha256=z8mxUsfkJMNHy1MSwX90iShhqMalbwO5K6mTIrab8Rw,2226 +torch/include/ATen/ops/_sparse_log_softmax_compositeexplicitautograd_dispatch.h,sha256=hPFxbead6hMjkXtDX9CahezrpBKolM8DcwDA6VRh-tU,959 +torch/include/ATen/ops/_sparse_log_softmax_compositeimplicitautograd_dispatch.h,sha256=1EcEyhepbvqipKUpgerflkAfdTrpc2CpWMv1VgPQ2WU,974 +torch/include/ATen/ops/_sparse_log_softmax_native.h,sha256=ABNPWGjGg6Lbn9wrp4xvrqklXjCsHiFIM-6anx0LLvs,1028 +torch/include/ATen/ops/_sparse_log_softmax_ops.h,sha256=HhHb16cMTBFIqaYH1NC0f_Lx3E4RhwSlaCDtf6_0tGI,3431 +torch/include/ATen/ops/_sparse_mask_projection.h,sha256=GtdMfMf96yPSG4ulamXp6bG13EFY5g6Zsqep629h8iE,1245 +torch/include/ATen/ops/_sparse_mask_projection_compositeexplicitautograd_dispatch.h,sha256=2WJL30FoTJjCjZgIv9ZCRVirrPSeGmHg5GhHokJh0Cs,1007 +torch/include/ATen/ops/_sparse_mask_projection_native.h,sha256=iik_FMZEKXkcDkZO3FYsBVbhDCzFxkOokaNwNVBBmbo,704 +torch/include/ATen/ops/_sparse_mask_projection_ops.h,sha256=Wt1cekVcrRiEJ3x6xmD0vq8DWEBJpIlTM11JcdSsKzI,2032 +torch/include/ATen/ops/_sparse_mm.h,sha256=hkIsNuCbSO-pBjKkQ3qJKN6JELl1GSJK0znH4d57lW8,953 +torch/include/ATen/ops/_sparse_mm_compositeimplicitautograd_dispatch.h,sha256=5j2KIVy9W-sE7_AlMZaUqu9_bCfhRe5cAU_yq82DNoY,907 +torch/include/ATen/ops/_sparse_mm_native.h,sha256=Le-N3Fs0OWK5egK0PYXh6e4tvTXJHG4IJH9Aft8k3cc,630 +torch/include/ATen/ops/_sparse_mm_ops.h,sha256=7XHCZ007htw2sSXPXYnIdJeTFQdyKxuKdhV11GPfuLQ,1808 +torch/include/ATen/ops/_sparse_mm_reduce_impl.h,sha256=EBUJ8dltz0Gel7gdkie176BUwWrWSPHsKhoPasjwKw8,816 +torch/include/ATen/ops/_sparse_mm_reduce_impl_backward.h,sha256=Zusdrz4ksruqbU2uAOryVcv-GgCPhjMERnam4O9Yq2A,1032 +torch/include/ATen/ops/_sparse_mm_reduce_impl_backward_native.h,sha256=m6jr48P8g6QHTQaU4TpWFWy90f1gYvh6YLmGWFyok58,695 +torch/include/ATen/ops/_sparse_mm_reduce_impl_backward_ops.h,sha256=jMSBdYibUSiHAopqczdhZwKbb5wjqMDvVQRavmTIInw,1594 +torch/include/ATen/ops/_sparse_mm_reduce_impl_native.h,sha256=H3eB3_QGZdJ12KvCR_WLlT1lMIO6Z1ygHkh5z6wbmaA,594 +torch/include/ATen/ops/_sparse_mm_reduce_impl_ops.h,sha256=mxBmr3msR5W7REa6M1gaznLeDuO9l5kFhAut1VmL2no,1266 +torch/include/ATen/ops/_sparse_semi_structured_linear.h,sha256=JynvQ59Sg9djp4nxsw3zuST_I58nFeYW3oNLvK9sM7A,980 +torch/include/ATen/ops/_sparse_semi_structured_linear_cuda_dispatch.h,sha256=sP_HLXsA346plNRqcJGxi2oDztSMK-RMY3bX9uz1Cbs,899 +torch/include/ATen/ops/_sparse_semi_structured_linear_native.h,sha256=8C6E-_clC4ofdVE-krv1Ny-nkaDhZJ4gm6PR2rpyQLw,664 +torch/include/ATen/ops/_sparse_semi_structured_linear_ops.h,sha256=Ahb_i_ZTybRuTekRU5PKJPCNT9jd1-UfITILn1PuQQQ,1494 +torch/include/ATen/ops/_sparse_softmax.h,sha256=ujuPRMqYw5rreiEZWCeS9XGH2dpoqU3OmXyAWd3Yl7U,1926 +torch/include/ATen/ops/_sparse_softmax_backward_data.h,sha256=znnLyk4fxI9_9SOtHYJc94rsYjKpIeYRHIVsS-JKhwU,1671 +torch/include/ATen/ops/_sparse_softmax_backward_data_compositeexplicitautograd_dispatch.h,sha256=pK9L-SCFibpejshNAes-ep8Gg7lEFD4YuO9vY66Fcc4,1057 +torch/include/ATen/ops/_sparse_softmax_backward_data_native.h,sha256=LmM6QLrP6Q9ydid-5DtA7q1KkAKLv40DzujfyFBsHO4,901 +torch/include/ATen/ops/_sparse_softmax_backward_data_ops.h,sha256=ooW8oxQ9WJyM82iUYcW5t-Hc02WRcldvONRbGVBNUgo,2202 +torch/include/ATen/ops/_sparse_softmax_compositeexplicitautograd_dispatch.h,sha256=CAI5KiocSavdh38pDa8PD37YZwBRx5NnL_jj3RZ8hg0,951 +torch/include/ATen/ops/_sparse_softmax_compositeimplicitautograd_dispatch.h,sha256=Gy6iLXpXI43qz0CZBodTruQ9ZzBcGGQgXi_6bS4b03c,966 +torch/include/ATen/ops/_sparse_softmax_native.h,sha256=qPKyyGiEP4pVL7aTn054GqepKAJPV4AaA5y0Df6YZFE,1008 +torch/include/ATen/ops/_sparse_softmax_ops.h,sha256=RjjjIOOj5iQigt_IyGzw897TSQS5j0lg1ucpR6NUs7Q,3383 +torch/include/ATen/ops/_sparse_sparse_matmul.h,sha256=nPuQbiXnbLsNc7iz3O7NQ3KhlxLBQ5qHU63Nd2FRiOo,1306 +torch/include/ATen/ops/_sparse_sparse_matmul_compositeexplicitautograd_dispatch.h,sha256=BG_mISTQJ1_3dGvtKunqxjIm0PY17tRazzT67aBNEgg,949 +torch/include/ATen/ops/_sparse_sparse_matmul_native.h,sha256=AdCF244oguuPnFfI7JGE-ccjo5GjiJllxh9ov2ZbGcA,749 +torch/include/ATen/ops/_sparse_sparse_matmul_ops.h,sha256=4G-UkMZG7kC2vh4H-onhsBBf2zUfIdo3XCkUxlXhFfU,1852 +torch/include/ATen/ops/_sparse_sum.h,sha256=7l_ciEGQN1OqOexNpFXmVVdgOURVzv4-YFUYO1uE3ac,1823 +torch/include/ATen/ops/_sparse_sum_backward.h,sha256=xAl-UC8p7p4rqBILtMqMBGbM2aOYoN_U5ZaX5Zs3dLE,1398 +torch/include/ATen/ops/_sparse_sum_backward_compositeexplicitautograd_dispatch.h,sha256=-ZHZZGrACRdFt9RXETr9wPG7c2nGthaffhhpiQ8oQlk,987 +torch/include/ATen/ops/_sparse_sum_backward_native.h,sha256=cQ7kfqVW-2ynZ5nMczSdhCWFfp5lk8B5nkTjpvJblhE,808 +torch/include/ATen/ops/_sparse_sum_backward_ops.h,sha256=XV0rqNvzgrEVeiWi6CH-RecDNw0bCO6FLflwxLKfixM,1980 +torch/include/ATen/ops/_sparse_sum_compositeexplicitautograd_dispatch.h,sha256=-uMzTNOdApGGoqSAxhIpPcbPY0jm2I0eBG4w6JtzQf0,999 +torch/include/ATen/ops/_sparse_sum_compositeimplicitautograd_dispatch.h,sha256=hxbc6Mn0RoBi7lPxx-DicjlKRXz7dALEIkH9oeWzYEo,952 +torch/include/ATen/ops/_sparse_sum_native.h,sha256=QUKE02A4Q90okBYZZ0kiB88IuedUABMM4M6VVRnbxzg,863 +torch/include/ATen/ops/_sparse_sum_ops.h,sha256=Alj_thgbdIe6zDbyr4weiEafJf5oGeX2YWet4sAn7s4,3708 +torch/include/ATen/ops/_spdiags.h,sha256=ekCGg2Ddzi4pTfpUiadNM5bgZjp8-i8txEa1tqFJdSk,1583 +torch/include/ATen/ops/_spdiags_compositeexplicitautograd_dispatch.h,sha256=Z_y65JTPaKS6sy49q5BtW_o33YffYoU51lEIE26D0fs,1064 +torch/include/ATen/ops/_spdiags_cpu_dispatch.h,sha256=1yWO66JAuu9j9pGwbFFhMgwe5EizsXU4np-SUPLdiIA,825 +torch/include/ATen/ops/_spdiags_native.h,sha256=gRvAoFs26UQ__KnlLpg6Al8jlz1HttwNl7V--RpKKxo,761 +torch/include/ATen/ops/_spdiags_ops.h,sha256=FHMqSt8eYCCkKEy2ZlIoSsirW8vwmfb6hCUyWOylIto,2200 +torch/include/ATen/ops/_stack.h,sha256=u9dl5jTknBM9KWcUedV5jYeILDKTHKL5innm1Pm9bbA,1127 +torch/include/ATen/ops/_stack_compositeexplicitautograd_dispatch.h,sha256=XPmvbCkXjicSsxv5hT7byCXYEVLWLbP-GpbR8sd483o,961 +torch/include/ATen/ops/_stack_cpu_dispatch.h,sha256=gyMVPfnMJFNwIesKmE9NCvaWnGf0G671tK4rfjbUgQ0,917 +torch/include/ATen/ops/_stack_native.h,sha256=s4qf3O61I8WP3lQVls6n-T-GxrkfhAqDFUQ0Xld-ea8,757 +torch/include/ATen/ops/_stack_ops.h,sha256=tVNv5tNiHcPlt5j_0ywItOEljBkIU28_XtrT_mSYm08,1680 +torch/include/ATen/ops/_standard_gamma.h,sha256=gtiCRacqdLQhb75aVZMpUrbHz0CPsLOy_hiUM5LuUto,1365 +torch/include/ATen/ops/_standard_gamma_compositeexplicitautograd_dispatch.h,sha256=q31PKb66sfuggy-a4NIcli9CgiyogvWiWdEtB1zCP0s,978 +torch/include/ATen/ops/_standard_gamma_cpu_dispatch.h,sha256=kJb2hvqzIVppDELxIq_u6qI1gDbAjqWnQfRDSjzBQWA,782 +torch/include/ATen/ops/_standard_gamma_cuda_dispatch.h,sha256=Yyo-DUw5pSBiz9fiMcuY3000etlf6Tkgpj9pwr1Onc0,784 +torch/include/ATen/ops/_standard_gamma_grad.h,sha256=NXmKkZojuQvucrgCreomfAl_6nIL3tnZGRMNEVAeQto,1305 +torch/include/ATen/ops/_standard_gamma_grad_compositeexplicitautograd_dispatch.h,sha256=2xR6UnXRYLzFRExycBln4i7-yD52j-TPLmLrCmAjy9Y,949 +torch/include/ATen/ops/_standard_gamma_grad_cpu_dispatch.h,sha256=xsLiDQmTUeVhfMZKQaEHdUcSo_cZ1frj5GG2nJOOfmc,761 +torch/include/ATen/ops/_standard_gamma_grad_cuda_dispatch.h,sha256=c39AgyrLB-xOC2-4VsfkvmKeVupoapqZ0sB5ydlR8fo,763 +torch/include/ATen/ops/_standard_gamma_grad_native.h,sha256=1F-lLUE9YlP1xQY6zIQryamFHKQFzurXxu4aSvwYY7k,751 +torch/include/ATen/ops/_standard_gamma_grad_ops.h,sha256=DD4iXAJ66_BlOo47_xPLNL0JaL8fCE1fUGrzR8hEDlU,1852 +torch/include/ATen/ops/_standard_gamma_native.h,sha256=IcsqOwxGKZxyCMNbbMx7EJxY67z8gPphpkApqqU-xZ8,787 +torch/include/ATen/ops/_standard_gamma_ops.h,sha256=1yQOKMvUYMkJt8bAxO1engbUc8G_-BW0RbATOuCQL6o,1918 +torch/include/ATen/ops/_test_ambiguous_defaults.h,sha256=PtIudE8l0d_ZtHXv2vuVSk8piIRZX4i_anfo1_7XEAw,1007 +torch/include/ATen/ops/_test_ambiguous_defaults_compositeimplicitautograd_dispatch.h,sha256=47byKGQMPtyd3SUg4xtKqkffe-SqIc6D4dvhSJpYRcg,913 +torch/include/ATen/ops/_test_ambiguous_defaults_native.h,sha256=f4wq8GCaub-FJ7N_NDWfvQKtC1IwyvXsZTaC9xGm_Ss,642 +torch/include/ATen/ops/_test_ambiguous_defaults_ops.h,sha256=vCUCEcpB7LV228_Lc-dj_pm1quDzt78IfEpxdq3Xows,1815 +torch/include/ATen/ops/_test_autograd_multiple_dispatch.h,sha256=9XDsZesxXRKfuurvzAFL4IsUHu3ANCrc2QO_0qyRa38,1599 +torch/include/ATen/ops/_test_autograd_multiple_dispatch_compositeexplicitautograd_dispatch.h,sha256=_4SgReFkok3NlUaXE70PKKcCMwOBlAdOgs9Ok9qjmvY,999 +torch/include/ATen/ops/_test_autograd_multiple_dispatch_compositeimplicitautograd_dispatch.h,sha256=u1fU6MDlxVnjGEaMWEud_5l8DC86P_8IfkqetI0loQM,798 +torch/include/ATen/ops/_test_autograd_multiple_dispatch_native.h,sha256=EtDOJyKALOhjt46exz6OZFiK-Nm0SNd1Js0Iix4Y5kY,738 +torch/include/ATen/ops/_test_autograd_multiple_dispatch_ops.h,sha256=Pg9niWFkQvTctSH1tvIueMNxGhxCN0aLgKFe_cWEKMY,2484 +torch/include/ATen/ops/_test_autograd_multiple_dispatch_view.h,sha256=mpMc5Jas9StnViPrO1IiTaNMq7WeX6t4hrGSHq7QnvE,755 +torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_compositeexplicitautograd_dispatch.h,sha256=ShG32Y8O22F1mikUvW-HKUu4BQ2fvcltU6jT-TJl-K4,795 +torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy.h,sha256=ngnQ4FzADUJEbv6eoISncpkNI73kKpc8IEb03J48QDo,1375 +torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_compositeexplicitautograd_dispatch.h,sha256=0B3WYKdaoOO9F0gmsprXOafJu58zDJDtSlhQGZbPM-w,939 +torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=9_LCvXLK5y8zBux6-buoGdOjW4SkXVTI0_j4CPZQLXE,826 +torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_native.h,sha256=d881ViDbY4tJw3Kq1EnX72VoWOuxSgl8j3xqX02hWpg,637 +torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_copy_ops.h,sha256=Ym_NgGDQ70xd3q6u0Ex6Kgw0GuhyvBmzrR-Xj-kuUvQ,1806 +torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_native.h,sha256=Le6HUJRk3JSek3kTUHQ2TX8FVYyRWHM7sB8Hu2o86VA,518 +torch/include/ATen/ops/_test_autograd_multiple_dispatch_view_ops.h,sha256=9WwjKbjWzT7Hf7FoN26MPDSvH_xgWTC5kkcxzF5j-GU,1066 +torch/include/ATen/ops/_test_check_tensor.h,sha256=jom7DbYYCbr50juP21cEfU8Eb7HhIlpMEnvG4bU8sBs,673 +torch/include/ATen/ops/_test_check_tensor_compositeimplicitautograd_dispatch.h,sha256=E8I0_VWxQ1AAjGOdFIvKJx1V_NNhSOo1ur_jfI3J2_A,776 +torch/include/ATen/ops/_test_check_tensor_native.h,sha256=d8m70t5GNcoLHAtVg3V2hfYjF3JTFIg9X0u9POsXgYY,499 +torch/include/ATen/ops/_test_check_tensor_ops.h,sha256=q4EystZZPVsoP3OcHnDjVbAg2IWAG_Qyso153XgAYW8,1003 +torch/include/ATen/ops/_test_functorch_fallback.h,sha256=vltQN08MF9t1xyQqdJKkGbQxuP3ZzkHnaIAw1VSf5cw,1336 +torch/include/ATen/ops/_test_functorch_fallback_compositeexplicitautograd_dispatch.h,sha256=92mowvVjVXdV8L3vPlGYdJFOqcBgqNfVEeYWzjzlo-8,955 +torch/include/ATen/ops/_test_functorch_fallback_cpu_dispatch.h,sha256=KtazLBaKD5akwda0xUfVXVTjrraI7P0jqykNg1ySnG8,764 +torch/include/ATen/ops/_test_functorch_fallback_native.h,sha256=vHi7KFXZmmfuXbkduBSh7eOgHVIJreNlWCNgc9K-JjM,653 +torch/include/ATen/ops/_test_functorch_fallback_ops.h,sha256=-47Trb3dIEmwG4yoOVN50NhHWgY7uDZtICfrr3o691U,1870 +torch/include/ATen/ops/_test_optional_filled_intlist.h,sha256=Dg_HvIHtTCKN7p7be1k487qRweY4WpQ7byNB6kz0LAs,1440 +torch/include/ATen/ops/_test_optional_filled_intlist_compositeexplicitautograd_dispatch.h,sha256=qr8tdDam2XUh6D4Mz-H7zK-qhweREUt5EnnfhJbTh1E,983 +torch/include/ATen/ops/_test_optional_filled_intlist_cpu_dispatch.h,sha256=273YyCcDdwyN39oHF22kHPOrhb5Z_M3hoex2VkXtBRA,778 +torch/include/ATen/ops/_test_optional_filled_intlist_native.h,sha256=KkG6yHKTZJwgQXAGK1yP5V2xe_ZSIsF507UvzOtj4hA,674 +torch/include/ATen/ops/_test_optional_filled_intlist_ops.h,sha256=u-Ox2f1OqH707QxYai1N4s6vbzglpnoyjampO-Kw8HE,1956 +torch/include/ATen/ops/_test_optional_floatlist.h,sha256=74HutCVHgKl-Cu0kdF-UHvnQGzAqIQvANGaPs8VfvNo,1429 +torch/include/ATen/ops/_test_optional_floatlist_compositeexplicitautograd_dispatch.h,sha256=ZnmJqrVjwZ_YFyqNDnwIewXLlAKmpqUbD4bDN3Gw0Qw,997 +torch/include/ATen/ops/_test_optional_floatlist_cpu_dispatch.h,sha256=KGGKElIxpMsQxgTdaqZujj9ClAflNHzZ7dn6V5_eAEo,785 +torch/include/ATen/ops/_test_optional_floatlist_native.h,sha256=qjU60cYtTROYx-VQgyOC3xFwGxHJLfcYK11MM4EVVUY,695 +torch/include/ATen/ops/_test_optional_floatlist_ops.h,sha256=KlYnVVEPE9i9Yq2x7MBd-IJzHOWBnryT4xZdiKLPimA,2000 +torch/include/ATen/ops/_test_optional_intlist.h,sha256=TG5ms66YOUYi7ShZUYpHe3oxwH_4IAELsGCwgI7RU3k,1367 +torch/include/ATen/ops/_test_optional_intlist_compositeexplicitautograd_dispatch.h,sha256=eVJi6ab4DkHA1hpRYMU20_i-t6JWl5x4Gwd_3Qlem5c,969 +torch/include/ATen/ops/_test_optional_intlist_cpu_dispatch.h,sha256=4fatPAnfN2rAQBlteXcNtAfobxwhvOhbAGKYnLA6mTk,771 +torch/include/ATen/ops/_test_optional_intlist_native.h,sha256=o-rrOGgEmeJ1KVZqjhr2OsjeHLB2Xx7LfMvFgaEmb-g,667 +torch/include/ATen/ops/_test_optional_intlist_ops.h,sha256=ytTamYcqCS0sl-_j9NAVXp2-hMO7OBirf7XOwI4y7vM,1912 +torch/include/ATen/ops/_test_serialization_subcmul.h,sha256=Eac_o6-a5DU2ilFK45vyCnlHNY5B1l-YETNinFLjv5g,807 +torch/include/ATen/ops/_test_serialization_subcmul_compositeimplicitautograd_dispatch.h,sha256=Wp0aj5ZRbbyZWS8wtq5talYpwhixe-oonjXzH1etaos,839 +torch/include/ATen/ops/_test_serialization_subcmul_native.h,sha256=huTEXRqkkMLjtrj63jqsVAViZaPZ3NWP07TlNSr26GM,562 +torch/include/ATen/ops/_test_serialization_subcmul_ops.h,sha256=EA4cQCu311LuRKCER1skRoUEq4uhU_PCNKz8Zw32cM8,1204 +torch/include/ATen/ops/_test_string_default.h,sha256=v7wo-FSxWauvWjfQZM8Pg7fs8aE27oahBTk9zXrHCZM,776 +torch/include/ATen/ops/_test_string_default_compositeimplicitautograd_dispatch.h,sha256=ykuGwGkSaYvf8c3IFy7ShiYsFUpHg-0gU39GV9vurFc,835 +torch/include/ATen/ops/_test_string_default_native.h,sha256=JLIT6QAKD854E5M9YSGx6cAl4rG68QDbtdHtnmKMVmQ,558 +torch/include/ATen/ops/_test_string_default_ops.h,sha256=-lyYiqQHGcce7KwkWznsxecxICjuGElprfrLbCZ96ow,1168 +torch/include/ATen/ops/_test_warn_in_autograd.h,sha256=T8Y3LE8esqrY3ec8MnOtFns2MDJHmErzWs77TqM3dbs,1175 +torch/include/ATen/ops/_test_warn_in_autograd_compositeexplicitautograd_dispatch.h,sha256=tTOb7ZwkeT68ED7U4iQ36i5JV8nc5oae7fZyjgpSvMY,969 +torch/include/ATen/ops/_test_warn_in_autograd_native.h,sha256=Ari9ta3cXUC2RYr-KtOVlLgF6qtYDV70FikHuZLISpM,597 +torch/include/ATen/ops/_test_warn_in_autograd_ops.h,sha256=LXQsxBTpmqq49IOEQDP2LiId-2Vl-8R5AzCwcbSsDMs,1686 +torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward.h,sha256=5WXcis1MHzAtVDnoLcbVkqgtZ0egnZ8ysLfes6zzmBg,1184 +torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward_compositeimplicitautograd_dispatch.h,sha256=jPCQ6TsoDWZIKguy7fM7QWtq6D4O1F5To_WxwlFEzIg,1038 +torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward_native.h,sha256=kxgyYPHAoPD3mmqHbqhx8GDaYpKVSjCiTJ1wTbUC7qk,761 +torch/include/ATen/ops/_thnn_differentiable_gru_cell_backward_ops.h,sha256=sl8DBjbP0BSwRmjjp-mrscCCi91oQAUJCsbyR2fZnp4,1865 +torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward.h,sha256=EnyZ8fl6QV1trzS-wJO3qoHzog5Ei4YG4yh94FPhb8I,1311 +torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward_compositeimplicitautograd_dispatch.h,sha256=lml6j-3WwsgsO1VwMGhaOVtRwUN7xtvEyJa4asdtT7k,1120 +torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward_native.h,sha256=6DQUQqIab2VMv5rkXRwVhrY_7HdrHwlPxtw4KPlvo6Q,843 +torch/include/ATen/ops/_thnn_differentiable_lstm_cell_backward_ops.h,sha256=Ll_gUpUihFgf3lKblt3MyrcyyMvHzDcJOmIS24UaRsE,2129 +torch/include/ATen/ops/_thnn_fused_gru_cell.h,sha256=MofPWmdIrbAPK0rtUNMK-BIXMeGLYhZxzUH_JjUNGY0,2262 +torch/include/ATen/ops/_thnn_fused_gru_cell_backward.h,sha256=zZ6OEaDzvb9yN-hwg66q8lTKgoccXLFGLe3woR3KHTY,2235 +torch/include/ATen/ops/_thnn_fused_gru_cell_backward_compositeexplicitautograd_dispatch.h,sha256=pliN6RJ8qCKuNQFrlK3ihS6popLP7Qas9Ir9Hxs7lsE,1295 +torch/include/ATen/ops/_thnn_fused_gru_cell_backward_cuda_dispatch.h,sha256=8HjHcxn6nL6fJrElSvtigF-RRAilTePjybsy8ll9k0U,851 +torch/include/ATen/ops/_thnn_fused_gru_cell_backward_native.h,sha256=UVHG00S7CKoJMFcUe08bXb5b4UsvAQE_II6j9a3PtkY,913 +torch/include/ATen/ops/_thnn_fused_gru_cell_backward_ops.h,sha256=khhs5hOygQqbaOKp5mkVGtjS3yaL_3O_nNWFM5luKS0,2779 +torch/include/ATen/ops/_thnn_fused_gru_cell_compositeexplicitautograd_dispatch.h,sha256=3TYe4i-leqF0i1IjFnZJBRoT2lq6ttQd2wO4kDBUQ60,1307 +torch/include/ATen/ops/_thnn_fused_gru_cell_cuda_dispatch.h,sha256=KIn_dKQJ-GKgjYPlC01-Dh75JroWMbOPbjLhI8y97TI,923 +torch/include/ATen/ops/_thnn_fused_gru_cell_native.h,sha256=zef0aSc-42CWTrFDJWeeacyTXn3Y27Bq-_31on066fI,988 +torch/include/ATen/ops/_thnn_fused_gru_cell_ops.h,sha256=A7KLzu62Aa85T6LavcX2Jt1pCbFs0rRmF3cwuXHdtBQ,2950 +torch/include/ATen/ops/_thnn_fused_lstm_cell.h,sha256=iptRuxAQSi8N3SVTQQLN3aW-6f0bbbgghuvOvmVFHbg,2425 +torch/include/ATen/ops/_thnn_fused_lstm_cell_backward.h,sha256=o0G7y_Ge4tyQ1UQ1Tn3rTu0xtckj-Lmrv2dT1lT4zSM,1082 +torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_compositeimplicitautograd_dispatch.h,sha256=oV-W1AoAfCrmmW5YW4RPByDCx7wjfhr2WYYghkX0MIM,998 +torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl.h,sha256=LUZljDEE5cwIZmnT5u82E3VDY-J69NlbaKIb1Vm5AXs,2472 +torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_compositeexplicitautograd_dispatch.h,sha256=rFjxYawNgQWpj_l7IPDcORk5-bkAMbCmQUFBhTpELAs,1387 +torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_cuda_dispatch.h,sha256=gv5KLyuJ04Q0X7kdgHSvT_qsfkEdpIYenCGycdiwPSc,939 +torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_native.h,sha256=TYVW_IOVmq_yb2CVSroKIUBTOH5WChdB-f3y8Pk_8QU,1047 +torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_impl_ops.h,sha256=I1meSdUaclWkdawi5HfUW-MikkWWfjSGV5X_G2fLiVQ,3169 +torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_native.h,sha256=QFZqpSMczYXGI7AhFqgsJ3Cy0Q-Hf19Y8hkYn6rA2_I,721 +torch/include/ATen/ops/_thnn_fused_lstm_cell_backward_ops.h,sha256=1kmHv03aQwlIb0xy702mGKjdauOmLUxRFz2l8VrjPTk,1743 +torch/include/ATen/ops/_thnn_fused_lstm_cell_compositeexplicitautograd_dispatch.h,sha256=oGwHLfgc95d7cxiGL6szjb8tV33EbCj1Tr7ZTi_cFUI,1373 +torch/include/ATen/ops/_thnn_fused_lstm_cell_cuda_dispatch.h,sha256=tlBSg8uoCj3Fjkvx8MGHVF-zh1dake_T-i9xr4M693E,935 +torch/include/ATen/ops/_thnn_fused_lstm_cell_native.h,sha256=kD0tok2EBIiobHgA7mnZbNP6RwIEDF44renVxeLvkD8,1033 +torch/include/ATen/ops/_thnn_fused_lstm_cell_ops.h,sha256=5u9n1zLBSszJJtsGlSSESfpWFJPZ3c68o-tnI8Jhpxk,3117 +torch/include/ATen/ops/_to_copy.h,sha256=XGKO6aOSsBx9vNgMiYneU2OZ7wfK5K2nBvmnvucpH4g,2402 +torch/include/ATen/ops/_to_copy_compositeexplicitautograd_dispatch.h,sha256=0_54B_U60U5yPY6rGvLGtIcIsf6DqRc01kDg3VIXNN0,1452 +torch/include/ATen/ops/_to_copy_native.h,sha256=84tWIZ_hjTfYA2QXv2aFIhFABvlqwh5iu0qAksvormw,1166 +torch/include/ATen/ops/_to_copy_ops.h,sha256=_96wQHpRsbtbZ2U2LCWvTEVyxM_TK8ahD-ThhDy5vR8,2534 +torch/include/ATen/ops/_to_cpu.h,sha256=XhNN56gg2eaYmrPIMz4SeIQRMYLX6CC7GwVEATwD9dw,653 +torch/include/ATen/ops/_to_cpu_compositeimplicitautograd_dispatch.h,sha256=-EBNmOaU_6yFQfctFFWNuJN4cjKyq6MleA4NIZe5QCg,779 +torch/include/ATen/ops/_to_cpu_native.h,sha256=y0owTHOkosTOU8qc3ndRyVMFznn4A2Byu1hXXcGmsn0,502 +torch/include/ATen/ops/_to_cpu_ops.h,sha256=D1D-mmaWnyxhouCFEO_-ltW1FYZ3xourlm2LS7Rl7bU,1016 +torch/include/ATen/ops/_to_dense.h,sha256=qhtfBB9M4YltNj0Vx5vNSXitA5AIrk7V86aQH-b4ubM,1203 +torch/include/ATen/ops/_to_dense_compositeexplicitautograd_dispatch.h,sha256=DP7QO3u6Ls8m9zLaBDBzVpz_I76IiKSEJCmTgo9tsFw,1039 +torch/include/ATen/ops/_to_dense_native.h,sha256=mLhb0h07bBxi5aLR8gIRgxO-ssen__83m178mcA5OA0,1072 +torch/include/ATen/ops/_to_dense_ops.h,sha256=DG_8GhsgnuxSMoGG4BES0PcqbijaFXeoReSmJaMw2YI,2088 +torch/include/ATen/ops/_to_sparse.h,sha256=vUSQkfIaO2as5ubupPWOnXF5lZCzTk-0A6LZMhXL0_g,1899 +torch/include/ATen/ops/_to_sparse_bsc.h,sha256=BSgfpExoy_T5ZYIoLDtEcpDD9ShIc4ZlEan0X8HvkBU,1193 +torch/include/ATen/ops/_to_sparse_bsc_compositeexplicitautograd_dispatch.h,sha256=LjEDFM8Q8P_NdOXWRtZ0Vwihh1_ikLmZQW963WnogCg,1018 +torch/include/ATen/ops/_to_sparse_bsc_cpu_dispatch.h,sha256=U0KLYmrApwwtYUC6D4fNgjIdK1iobdnc9rH9EqnisNY,802 +torch/include/ATen/ops/_to_sparse_bsc_cuda_dispatch.h,sha256=VTdHQyCjQ3SKrQ0JOYHxCyEBQwCGuFd-mX3_OmeS6vw,804 +torch/include/ATen/ops/_to_sparse_bsc_native.h,sha256=Kb7g09hYWMRvj3jLhpZVg0_-AG3HgHhhDs1i5cEWBQg,1013 +torch/include/ATen/ops/_to_sparse_bsc_ops.h,sha256=umQhcdZCtFutbILguZpfN2d4bJ783FUf1x61zuLzwj8,2042 +torch/include/ATen/ops/_to_sparse_bsr.h,sha256=HRgL_0BebIsSgPnXtKJTIb7tDUQ1tZj9iXlVSqZybhs,1193 +torch/include/ATen/ops/_to_sparse_bsr_compositeexplicitautograd_dispatch.h,sha256=XdEsy5DJBdCe6c_M73krufm9w_jAGBqjbxw8vgfuJYQ,1018 +torch/include/ATen/ops/_to_sparse_bsr_cpu_dispatch.h,sha256=hSi-ESRaEPSOVgkYFdDAGzfl25hXop4tV29i9Ct0o_g,802 +torch/include/ATen/ops/_to_sparse_bsr_cuda_dispatch.h,sha256=zELOKl93DeCJi7Mrv2h0o7-X1gH816JhNJJt7y6YvA8,804 +torch/include/ATen/ops/_to_sparse_bsr_native.h,sha256=mbuDKbnkxg-sOFX-ilwqQ-ZKanfoI7SwoCxXEgHG6Ok,1013 +torch/include/ATen/ops/_to_sparse_bsr_ops.h,sha256=1NGPWN7woIVJbKpD_fSNLKNwc7HJEdK0L6AE3SLtM_M,2042 +torch/include/ATen/ops/_to_sparse_compositeexplicitautograd_dispatch.h,sha256=aQhKiF-MQcvuMcpSd8oat25m4uvM17J_Rc2YR1wpBMQ,1325 +torch/include/ATen/ops/_to_sparse_cpu_dispatch.h,sha256=UTpojFeg9Qcjz6gcgDnYxf8CjRXoLAg9fZWx522bbsI,944 +torch/include/ATen/ops/_to_sparse_csc.h,sha256=1Z2mri6I1z7iAWuVPKthI1BmNmRTSiOeHtO5bMigwl8,1081 +torch/include/ATen/ops/_to_sparse_csc_compositeexplicitautograd_dispatch.h,sha256=VyyRCRSU4qCF4uGnwFNPPzBx3MXZo0gb-q3igcEv4Cg,964 +torch/include/ATen/ops/_to_sparse_csc_cpu_dispatch.h,sha256=bam7hRwJSUHlrKarTFgt729YIjWIk-POP2zhr2z8pf4,775 +torch/include/ATen/ops/_to_sparse_csc_cuda_dispatch.h,sha256=CIefSkpN0ddpE7vqblnbN-dD-SNslPZluFG0Aw5CYgw,777 +torch/include/ATen/ops/_to_sparse_csc_native.h,sha256=2y9FXqobVc0QN4kh-xNl23zLufLEmp1UqFn2qotGwhM,905 +torch/include/ATen/ops/_to_sparse_csc_ops.h,sha256=IgJNggnoNcm6iCqKJGDt-voFYDWCz32wrC-p686yEhs,1864 +torch/include/ATen/ops/_to_sparse_csr.h,sha256=ZEJUoV0cAAYHrslAA-8JdrqrIW2HzE7AcQm8rFfz9CM,1081 +torch/include/ATen/ops/_to_sparse_csr_compositeexplicitautograd_dispatch.h,sha256=Kcmw63CibIb49OaxdsRuGBIzA6PSBCH6g9IwCFPaQp8,964 +torch/include/ATen/ops/_to_sparse_csr_cpu_dispatch.h,sha256=ZNLhm0Q0KaEpbBqdRb_vLtd_W-NKZKW7VdXOI5SSpH4,775 +torch/include/ATen/ops/_to_sparse_csr_cuda_dispatch.h,sha256=mWqs7g_TOnvllyuLboZ2B6sysPbdFL__MrIZ-AoNG_M,777 +torch/include/ATen/ops/_to_sparse_csr_native.h,sha256=Q0eOPjwZgihLZMCiohe3NYDdOOmzMr6aiI4g66wYxRY,905 +torch/include/ATen/ops/_to_sparse_csr_ops.h,sha256=jUZbxi4gJHY8xxj-GfwiQV6s05gEbUfwtc_OrETczPU,1864 +torch/include/ATen/ops/_to_sparse_cuda_dispatch.h,sha256=L7GcZjjIXbDwqf6Ip4ejtjow2iKTkvi3KFAS1x6GZ6Y,946 +torch/include/ATen/ops/_to_sparse_native.h,sha256=nuKZrEur-l_WPDlF0oXgVyQddxiXxDCxtJ84gvoZm00,1629 +torch/include/ATen/ops/_to_sparse_ops.h,sha256=Z3UiDJHAQ3Hegv5pgQKP4L9OcCfFTYb-LbM3-YD0BIc,3688 +torch/include/ATen/ops/_to_sparse_semi_structured.h,sha256=jcxT6-E217n510-12jdOOb9fu6qZ2zymC_INWxH3SDg,743 +torch/include/ATen/ops/_to_sparse_semi_structured_cuda_dispatch.h,sha256=fuBR9LuFkYTnI9RMXfM_oZXyAnYtbbZ0K1F8030-BA0,768 +torch/include/ATen/ops/_to_sparse_semi_structured_native.h,sha256=QYS5RGmzpXj-z3-6DuUv2Gk35L1AqdH3GVGR11xEZO4,533 +torch/include/ATen/ops/_to_sparse_semi_structured_ops.h,sha256=cXZ7KKgUEnHo9Pxu6XY97AlnkOczyfJYMigcgP-gZZU,1115 +torch/include/ATen/ops/_transform_bias_rescale_qkv.h,sha256=qQf64guOue3FuRxHr0jDPyhY2cpr_GeyvOggM8W-Vi8,1879 +torch/include/ATen/ops/_transform_bias_rescale_qkv_compositeexplicitautograd_dispatch.h,sha256=xST10llBXdLyPiW3bmxHbESKM2zndrNbf3uOM65BOHY,1161 +torch/include/ATen/ops/_transform_bias_rescale_qkv_cpu_dispatch.h,sha256=BcWO5Q2hcIw00yN3xIuT0gkkX-j-2q_k9l-eqTgJ5U0,824 +torch/include/ATen/ops/_transform_bias_rescale_qkv_cuda_dispatch.h,sha256=HlM9SZU5PEIeSefcEVD-QZATP5m5NxkpgC4lssLFbqQ,826 +torch/include/ATen/ops/_transform_bias_rescale_qkv_native.h,sha256=O1vR4-gqZScceTenrxsbSObq_FoPQ9x6pz6tvbVy0vo,981 +torch/include/ATen/ops/_transform_bias_rescale_qkv_ops.h,sha256=rSokP-aJdCh5OAbxBi7ngfdYEVeVHAXv-wygcOQHXv4,2437 +torch/include/ATen/ops/_transformer_encoder_layer_fwd.h,sha256=wAx8lFQfDflowwom4j2mZ6m39NWNHP5fbQTKztKlW9M,4605 +torch/include/ATen/ops/_transformer_encoder_layer_fwd_compositeexplicitautograd_dispatch.h,sha256=fx3Q3OgM-RdWiQeGy0g80k3UKVxba_98Ucgtciiu5VU,2005 +torch/include/ATen/ops/_transformer_encoder_layer_fwd_cpu_dispatch.h,sha256=ywhVPEp72a28Qc2B0apf2gzWlfx8VyNr-DWafFroAM0,1297 +torch/include/ATen/ops/_transformer_encoder_layer_fwd_cuda_dispatch.h,sha256=QQcZRRoQqxG6NUUnS-1D5i6NQUFUVVKbHYFAu1D1Gno,1299 +torch/include/ATen/ops/_transformer_encoder_layer_fwd_native.h,sha256=SaxC7J14rkkwr6OzkMr-Ym3k_eNRMSjKT9PyM4IBwRQ,1706 +torch/include/ATen/ops/_transformer_encoder_layer_fwd_ops.h,sha256=c5YdUU9IxnHM_yppp5ASKhT8W2TZtoavgAQXhzxYen8,5256 +torch/include/ATen/ops/_trilinear.h,sha256=1ViGQqple6qCBGs7UPotcfSDXpiMTSWDuSOYRdR3ljs,1998 +torch/include/ATen/ops/_trilinear_compositeexplicitautograd_dispatch.h,sha256=h4OFRkJpe-f2PPOHOBxmhEstKlJLY06dhn-fT7ij8Po,1203 +torch/include/ATen/ops/_trilinear_compositeexplicitautogradnonfunctional_dispatch.h,sha256=MofkLAAcO-AxDBQLVW4wrhHwI8xsnREFX1HpFHNcfRo,959 +torch/include/ATen/ops/_trilinear_native.h,sha256=nZlpb8hzlV-ghtI9XALLUSHQx8IuwLbC8hv71pwbSwg,901 +torch/include/ATen/ops/_trilinear_ops.h,sha256=8o23MDDPtpbQvZMLbnqaryJUDSjh7iwxWCx3-mEsql4,2694 +torch/include/ATen/ops/_triton_multi_head_attention.h,sha256=RoTqUU2q23oRVtdB0wv-F1zpmlzc_oIeVkWaLOd1VEA,2696 +torch/include/ATen/ops/_triton_multi_head_attention_compositeexplicitautograd_dispatch.h,sha256=LR1pJyApaYvVV-osNbb616ljzc0KUTdrp8lIfB8GqnY,1414 +torch/include/ATen/ops/_triton_multi_head_attention_cuda_dispatch.h,sha256=NeBbeuvNhJ4_CRnnaxzzwDvab7Lv4egebBlLBNoJwJk,997 +torch/include/ATen/ops/_triton_multi_head_attention_native.h,sha256=BlErIutIExG5tkSljoELuyOd2hhU2BVIjAZ3SN2FLds,1111 +torch/include/ATen/ops/_triton_multi_head_attention_ops.h,sha256=jpHNJteqZxPdBvcql5dTmSxcRIhYHSIpwJzumZlAwE8,3366 +torch/include/ATen/ops/_triton_scaled_dot_attention.h,sha256=oE4MPKNPbalyJLzsakoK5-miOYFIeEvWzG6r1z8H9TU,1576 +torch/include/ATen/ops/_triton_scaled_dot_attention_compositeexplicitautograd_dispatch.h,sha256=vz8X1LBijz7MhuCMP1lqfWfP9LSDjC8HpJFjhh6N75g,1033 +torch/include/ATen/ops/_triton_scaled_dot_attention_cuda_dispatch.h,sha256=bDy9UkXTBmbkpbGFjHO1J9vUjhfvFQ2RyEK06rj7PoM,807 +torch/include/ATen/ops/_triton_scaled_dot_attention_native.h,sha256=EpXTRwfdSxUKI7q9JbTDCzipst8nfQokJABeh4u0HsY,730 +torch/include/ATen/ops/_triton_scaled_dot_attention_ops.h,sha256=oO6bObXAXfERTE_do0_gvNO7KKQdk8ESGCLalx5zlAQ,2130 +torch/include/ATen/ops/_unique.h,sha256=WcHpQKv9SprGyEWIVW1_VONEb26irPBoYtYXWU_n5zo,1563 +torch/include/ATen/ops/_unique2.h,sha256=aauszExLVvFNe5Ic_KuOUqq-5AaG_0E2eopSM0xA9i4,1921 +torch/include/ATen/ops/_unique2_compositeexplicitautograd_dispatch.h,sha256=RFxgYNv-dkWh-NMPvBuc9zOZ_Y2pkzqj3_7a1NdL638,1154 +torch/include/ATen/ops/_unique2_cpu_dispatch.h,sha256=SBLWdFoYgOvUSkjW-f9d-4MP5yfZJImBiL-3dJ5cIjs,829 +torch/include/ATen/ops/_unique2_cuda_dispatch.h,sha256=JPmSRM4Dy00a2hdVIPLjkhtMopQqZNePESg8t2dlW1c,831 +torch/include/ATen/ops/_unique2_native.h,sha256=uKFkfC9aY-C_rs0OJ_7Hjx_d35ojmuJ4QJ0raPW7HQY,981 +torch/include/ATen/ops/_unique2_ops.h,sha256=cpOGx2tY1qhyiOWsj4DChsk_aoI-sWpy8pMEOLgRIr0,2409 +torch/include/ATen/ops/_unique_compositeexplicitautograd_dispatch.h,sha256=WHmU251GvT2zvtZbiWnp3rSjh4X-KuOivcGoUw8JFgA,1042 +torch/include/ATen/ops/_unique_cpu_dispatch.h,sha256=hp3VmTSL8ofYTOcxEeO58D6QPP7_e_qYYhjW19vrrRg,791 +torch/include/ATen/ops/_unique_cuda_dispatch.h,sha256=Lj3bVAgjF7sNcWF8Daz2Q28ETSXVajJO8nGC81mSCoA,793 +torch/include/ATen/ops/_unique_native.h,sha256=BIiffEAd6aLUN7uRGHznwZRPTdJlq1RWWGlm3YAcRTs,852 +torch/include/ATen/ops/_unique_ops.h,sha256=Srpb1gf5HRuHZJEtE9Q9E41n8g39WOwkD4ZEZGDdums,2098 +torch/include/ATen/ops/_unpack_dual.h,sha256=uaaG0A81af0wJ0XUDAFaJQTXYrlDvm22aRUo3f3131A,738 +torch/include/ATen/ops/_unpack_dual_compositeimplicitautograd_dispatch.h,sha256=sIKK7Hdi3-F01RcfasGV7xgAC6vbkdoWehxWmbuMeB4,810 +torch/include/ATen/ops/_unpack_dual_native.h,sha256=SxtHi3xNmqfoWRYORk-EHI1k2yQ5GFR9R6xZVsgaHA4,533 +torch/include/ATen/ops/_unpack_dual_ops.h,sha256=euObiPIQLXb-haqujwP4Aok7iTjgfXj0M6g-3yaR8Y0,1141 +torch/include/ATen/ops/_unsafe_index.h,sha256=sNuwy4twcu0PET7BNbYHTAHyGcaPhCnKQQfpN1yJK6s,749 +torch/include/ATen/ops/_unsafe_index_compositeexplicitautograd_dispatch.h,sha256=aFzQG9yxHfanLutGJvX-8JsqDO_gtxVbbB6p5ouTlh8,825 +torch/include/ATen/ops/_unsafe_index_native.h,sha256=uTZW0EdSYrMW0ktqyj_YPkcIkwx9CBtdz3XRyfvFK8A,548 +torch/include/ATen/ops/_unsafe_index_ops.h,sha256=nwuMsCvnb79IzW4HRFpZKEpk_i4N90A5ALRzW2frXsY,1181 +torch/include/ATen/ops/_unsafe_index_put.h,sha256=5PqJVLnxYfPA0KWjPy2pus-INBprukIc6WQyU3526_o,859 +torch/include/ATen/ops/_unsafe_index_put_compositeexplicitautograd_dispatch.h,sha256=3EbHd1y8Wxu7F-ZERxWek_piJ0OHIujC1gnheelREM4,879 +torch/include/ATen/ops/_unsafe_index_put_native.h,sha256=YaaLo0Xr7Q9fU_tLycts3qWVhBRVsWfm93XOMb_wTVM,602 +torch/include/ATen/ops/_unsafe_index_put_ops.h,sha256=rkdONeghL6n0l4ILlDLTl5_0mUR73dIdEdieQrhNYIM,1325 +torch/include/ATen/ops/_unsafe_view.h,sha256=QLShaJVE7EnWtdfvgKpYS7bj8XOkEWQleUXvlWDaxWQ,3695 +torch/include/ATen/ops/_unsafe_view_compositeexplicitautograd_dispatch.h,sha256=__cRFBu4oiCt8v1aOz1Pu38u8ejj2H5DRi3vr3YWmJA,1333 +torch/include/ATen/ops/_unsafe_view_native.h,sha256=66Kpo16ump2TG_D_Cm91f9kzQHTUNVSCnx6zzIsufVQ,632 +torch/include/ATen/ops/_unsafe_view_ops.h,sha256=103Oj-96TFdcGVQ267hDG5rY-bJ6jko32SHMBfubUiI,1802 +torch/include/ATen/ops/_upsample_bicubic2d_aa.h,sha256=K9j7yE_Ay937WWqs731aY3cobQWQgKZnkx279FlfGwo,8034 +torch/include/ATen/ops/_upsample_bicubic2d_aa_backward.h,sha256=36X2lMJP3IAaugjWOf37dn3pK-ORAvt3viy7Nr5xl1E,7746 +torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=Ba0Tb-YZLIz5CiAA2tui42GUGudiX_ikUbpjcb1TvRQ,1257 +torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_cpu_dispatch.h,sha256=X4Obc0G34yd_7xb2TWXz13cGIokiSR317U7Op6FbxjA,2303 +torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_cuda_dispatch.h,sha256=piT-x16GoXgcKtmcTJIUhErOiyJEBw0E_auZPHqt5Rg,2305 +torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_meta.h,sha256=Cqm1WMu9RdxTkaTeWMXeFWmX-L5VHrknMMm1nRi9FbA,771 +torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_meta_dispatch.h,sha256=rKrOvVlwtpGf53nefxTRtZFhEes4T-RxwvgDg_llixQ,2305 +torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_native.h,sha256=SLUMp-oBCkuNBzoN2a6_EfSCJaQHNDsZLq4_ewF6X_o,1216 +torch/include/ATen/ops/_upsample_bicubic2d_aa_backward_ops.h,sha256=bOrqBO9-WrReFiRM2fw3mSttHw96XD1ay93ly32ho3A,2826 +torch/include/ATen/ops/_upsample_bicubic2d_aa_compositeexplicitautogradnonfunctional_dispatch.h,sha256=jx4COIvM7dD2uEJWdb2_Y1yvENkqMDGIfcAy_VsfZOw,1165 +torch/include/ATen/ops/_upsample_bicubic2d_aa_compositeimplicitautograd_dispatch.h,sha256=WIQ8FwI0c3HWCEnyGPEVoTQDpcuAO24amNP-Dxg9shs,1078 +torch/include/ATen/ops/_upsample_bicubic2d_aa_cpu_dispatch.h,sha256=47MN8CHm2XcpfDMsc9V6S594xW60pGvoj5TmWbn94TY,1999 +torch/include/ATen/ops/_upsample_bicubic2d_aa_cuda_dispatch.h,sha256=RTOQ7Lase0MDieEzpCGBrKIE_F0HNrJE3yy8GPSzv1A,2001 +torch/include/ATen/ops/_upsample_bicubic2d_aa_meta.h,sha256=RMGRFhT_awOI9iNbHZXx_8Snj9ErIV-OCZzQfcfyV-I,721 +torch/include/ATen/ops/_upsample_bicubic2d_aa_meta_dispatch.h,sha256=AvRp30DtaJK9N5UszOMn04Pbp7u9Z7HPrqaiYWxNoPo,2001 +torch/include/ATen/ops/_upsample_bicubic2d_aa_native.h,sha256=t_-OEFj9BdrqqPNyVPCx_zQLrYXVmYSPbH4u39noiSg,1254 +torch/include/ATen/ops/_upsample_bicubic2d_aa_ops.h,sha256=l0sDe_M9E69aHM-5BXj4TbRL71AKm999HMtValy8eDU,3429 +torch/include/ATen/ops/_upsample_bilinear2d_aa.h,sha256=GVIEJp6AB_dw5TwRzV371ChTjqvDAZxkYFwUy-MJfQ4,8075 +torch/include/ATen/ops/_upsample_bilinear2d_aa_backward.h,sha256=yEen51oKAc06AXodaZQinSqaOkvLLLKxk-gF7gyr59I,7777 +torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=FqwBShGKoApYKASGGc9ApEwwMbp2JSdOpysR1cw_RuY,1259 +torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_cpu_dispatch.h,sha256=AsYUWUQ6fuFAI6MPKIepbphlgGu1egs5-xrTcCSNIVs,2309 +torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_cuda_dispatch.h,sha256=VtUzlMCZC58h9ASWNSKzHyhY4-p6s4FkykKy9u_mKlU,2311 +torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_meta.h,sha256=Jy1ZsEty4iDv67YwWFltgUZ_YQLEbi9t_iaYGxDJ7_0,772 +torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_meta_dispatch.h,sha256=eEiwYpDQPCtabl58xHJYJRo7O8NhAY60qWM6FRdhUPA,2311 +torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_native.h,sha256=79U1DVcvpJCy3TY_8jN-8M-wBfT1ZRLEoRhwU1shKrw,1221 +torch/include/ATen/ops/_upsample_bilinear2d_aa_backward_ops.h,sha256=35A6TB6oM9wpZNBk5gG9789oibmRY2qXaEpaQ47ks8E,2832 +torch/include/ATen/ops/_upsample_bilinear2d_aa_compositeexplicitautogradnonfunctional_dispatch.h,sha256=3ZfOqfyI--A2QEJFImj_VhMOkWG_1AjJWmP3h9GgyD0,1167 +torch/include/ATen/ops/_upsample_bilinear2d_aa_compositeimplicitautograd_dispatch.h,sha256=m2dC8dIUJakwmXc1wByDgJavhRlIoRj0kjut5Md36ec,1080 +torch/include/ATen/ops/_upsample_bilinear2d_aa_cpu_dispatch.h,sha256=dpHIRjSIKQX8IWvYYnHvaRZATZr6jAFUR116-grkgEo,2005 +torch/include/ATen/ops/_upsample_bilinear2d_aa_cuda_dispatch.h,sha256=uNz-VzGwFTSi6-NXuBDA3_upBrTTwAcbkoouZnkSY_c,2007 +torch/include/ATen/ops/_upsample_bilinear2d_aa_meta.h,sha256=Vdqm5p7QYvOR-RPGG2iENFBXO8-i0_dIKEVMU6aqHEk,722 +torch/include/ATen/ops/_upsample_bilinear2d_aa_meta_dispatch.h,sha256=Y1L5hCtoHbuDWsmy3AYOqh6IKPUwSq4GqHb21YY9l20,2007 +torch/include/ATen/ops/_upsample_bilinear2d_aa_native.h,sha256=gSelaCRfNrspZhCgvNVnbi8QQ74O7ZFtSh1lnsrzxUg,1260 +torch/include/ATen/ops/_upsample_bilinear2d_aa_ops.h,sha256=xzS5iw1hiLbTyU9RCqgk3c2ETgd8BYSPwrHxMByw4rM,3438 +torch/include/ATen/ops/_upsample_nearest_exact1d.h,sha256=rIxdD-s0dDuGBOQTrsN14oNTD3Vukqj1d9PfqDu_xeE,6637 +torch/include/ATen/ops/_upsample_nearest_exact1d_backward.h,sha256=izY80J3EKWW0Nb5E0houoczF2cypcV_IgVJWdGdfv-k,6499 +torch/include/ATen/ops/_upsample_nearest_exact1d_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=soSEz-RkOn_zFZHABp0zU8nUkDST7tz542i4n0UXYIs,1129 +torch/include/ATen/ops/_upsample_nearest_exact1d_backward_cpu_dispatch.h,sha256=2lgfVTrtrMFx3kAHvoJBestJijBm7r6P3yJPWLnIhxQ,1945 +torch/include/ATen/ops/_upsample_nearest_exact1d_backward_cuda_dispatch.h,sha256=KGIUhcxexi5_URhfl0czxerELMmNT-kwaDGmPYj7g8Y,1947 +torch/include/ATen/ops/_upsample_nearest_exact1d_backward_meta.h,sha256=mh6lKpJvC2XayToRp0-iSrr9r1FGCD6GBbbzBj-j6JU,720 +torch/include/ATen/ops/_upsample_nearest_exact1d_backward_meta_dispatch.h,sha256=JcBvj9L8Nm-jwC8AU3gEmY54XFNi7K7bZwPHZnn2hZM,1947 +torch/include/ATen/ops/_upsample_nearest_exact1d_backward_native.h,sha256=U7WaTkUoQ5_oOw_c2zQjK3naQAixkEuJOBt3bQoQ_Ro,1123 +torch/include/ATen/ops/_upsample_nearest_exact1d_backward_ops.h,sha256=gg9BG6kvynm4gHbrygWWNFjEVqE8aD8gUvsqRfm0ns0,2482 +torch/include/ATen/ops/_upsample_nearest_exact1d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=IBTU1WFJU79nMlzCLq49U5oWkpdMpNbEGZ0bYmFZG7U,1037 +torch/include/ATen/ops/_upsample_nearest_exact1d_compositeimplicitautograd_dispatch.h,sha256=z8KU1W3Fr0-d2rEO7ZxiLSysWZBnku7o29nY5IFpFgU,1044 +torch/include/ATen/ops/_upsample_nearest_exact1d_cpu_dispatch.h,sha256=whkKRJpbzSP_VF9tkZQWV6Kba1nGzJaqAlKbTNTHTGI,1641 +torch/include/ATen/ops/_upsample_nearest_exact1d_cuda_dispatch.h,sha256=NgFUnAILGz_zP2LXOQqE3axiH7IgNFCqgVDz-SwVU5c,1643 +torch/include/ATen/ops/_upsample_nearest_exact1d_meta.h,sha256=1M4B3ZfxUU7ohrcyIDQWnpZ7x40-JsUNuxxTmgT6tYo,670 +torch/include/ATen/ops/_upsample_nearest_exact1d_meta_dispatch.h,sha256=OeWTXSqpKy-0LstLlexAuUawFhY65JaLJ03leVLP-zA,1643 +torch/include/ATen/ops/_upsample_nearest_exact1d_native.h,sha256=DTvUOx4EGkbbyVuSZB86W5rA1NUJypQbEEcSPZWqkMs,1144 +torch/include/ATen/ops/_upsample_nearest_exact1d_ops.h,sha256=BgjQ78qxqzcKf-VqSqbwP9xhTW5YQttAoj-gHtC16pM,3028 +torch/include/ATen/ops/_upsample_nearest_exact2d.h,sha256=FDi8eKFY0lQCWDYYsCns0dKYH9YItaAAzM5VroipApk,7437 +torch/include/ATen/ops/_upsample_nearest_exact2d_backward.h,sha256=G54JFHzXA3jBJlCvwCghvQ3a7TX1EVmsRjZFskesR80,7299 +torch/include/ATen/ops/_upsample_nearest_exact2d_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=KmAzy1f1Vu_p3lJmOH8a0MRD59RjPHVARaGetFzYiRA,1223 +torch/include/ATen/ops/_upsample_nearest_exact2d_backward_cpu_dispatch.h,sha256=a9w0rfYdxMN_OHMIHr_nKiDYTbz4TBoQcN9ppqdeas0,2201 +torch/include/ATen/ops/_upsample_nearest_exact2d_backward_cuda_dispatch.h,sha256=YWkNLD94Z_STr3Qufk6Ezp8MGpOnBnfiXcnt15jEgTk,2203 +torch/include/ATen/ops/_upsample_nearest_exact2d_backward_meta.h,sha256=hWJSPXLoWoNnS6WJWj72ScrCPKffes6VOvFBLIJcGuM,754 +torch/include/ATen/ops/_upsample_nearest_exact2d_backward_meta_dispatch.h,sha256=WHYwnXc3nJW3Sz2Z9doFFhppigbvHrePXhl2wh_rV7U,2203 +torch/include/ATen/ops/_upsample_nearest_exact2d_backward_native.h,sha256=95jdyvVwDxnZKoHvec95IlaYpCxqYHb-D_iKIUvPRxI,1191 +torch/include/ATen/ops/_upsample_nearest_exact2d_backward_ops.h,sha256=EPkD7easYoy9TC77mwQpFSDH44nesw8eNTkHRrp7NdQ,2712 +torch/include/ATen/ops/_upsample_nearest_exact2d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=akfr9LxUyDGz1c4_m2PUrE74bDri_LJKQRJzu4g-Rtw,1131 +torch/include/ATen/ops/_upsample_nearest_exact2d_compositeimplicitautograd_dispatch.h,sha256=M-chEv4btnStET-6xDTG9LPRZNl91XpMqpWtboiCj9M,1044 +torch/include/ATen/ops/_upsample_nearest_exact2d_cpu_dispatch.h,sha256=hmsXP0ilxeP2R-ilL9OS9vzySRV-6WBIpuDE_prTSTM,1897 +torch/include/ATen/ops/_upsample_nearest_exact2d_cuda_dispatch.h,sha256=Z7QtZ6AJ7I6s-sbrEp1zSDokiU9FL17bxobvEmoAha8,1899 +torch/include/ATen/ops/_upsample_nearest_exact2d_meta.h,sha256=Cju0-z-SqT3zQ0b8tPkPHY4Irlx5cx6f5klhZtxKcnM,704 +torch/include/ATen/ops/_upsample_nearest_exact2d_meta_dispatch.h,sha256=trzZ2obViqrADxoOn4x63OY_p2yC0v2No_FYeTNIxBQ,1899 +torch/include/ATen/ops/_upsample_nearest_exact2d_native.h,sha256=9YCsJHjCx3NW0gJOl8we24QX7dwMIpgvrq_xjsSyLeo,1418 +torch/include/ATen/ops/_upsample_nearest_exact2d_ops.h,sha256=018yZgpIO8NuO20VWQmqYypUdO531WmPtcBjB0idSPE,3258 +torch/include/ATen/ops/_upsample_nearest_exact3d.h,sha256=_ZgC01eLS0fSFnZ8W5bn3S_H_hw69PjRiFXQIBpI62c,8177 +torch/include/ATen/ops/_upsample_nearest_exact3d_backward.h,sha256=nCT51mMDB_JT1X3os_4QHENdNH-LHHVuah9Koi9qjLc,8039 +torch/include/ATen/ops/_upsample_nearest_exact3d_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=KGtDD6TCObCLLuDEsPJS2mM0GRaWAhFkPDaTP0EENYM,1313 +torch/include/ATen/ops/_upsample_nearest_exact3d_backward_cpu_dispatch.h,sha256=oT0M8hBiar1rZxBCGgLJ3OErMSd73m2bjSGPj2E4nD8,2445 +torch/include/ATen/ops/_upsample_nearest_exact3d_backward_cuda_dispatch.h,sha256=AhfpYmmzXs-FbgOetoOdl1lhj1q1OY30Ogz865pe5aw,2447 +torch/include/ATen/ops/_upsample_nearest_exact3d_backward_meta.h,sha256=u2zhXjoL_FqF4LitXX_jSm6Bx6GfUVA3JdxH22RHLFU,786 +torch/include/ATen/ops/_upsample_nearest_exact3d_backward_meta_dispatch.h,sha256=MO8a7VpR3kxVpNxZypMT9XCy5B6-Js-5m-iwnX7qbqE,2447 +torch/include/ATen/ops/_upsample_nearest_exact3d_backward_native.h,sha256=h5UOp3BONdTtfU6EnDsLmJVWysYnHMnTBzlZkv3FBhg,1255 +torch/include/ATen/ops/_upsample_nearest_exact3d_backward_ops.h,sha256=yKhHregwue4mcbytOAAMez-4IWAasKTmMb9Qk_k3CSg,2930 +torch/include/ATen/ops/_upsample_nearest_exact3d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=-DsWv1qmyHNvSoki1Unl7hXtXDMW-SvUIO5K92963Bo,1221 +torch/include/ATen/ops/_upsample_nearest_exact3d_compositeimplicitautograd_dispatch.h,sha256=NetG3SoHa5e7LoiJLOalnBlCRoIBpXbkcng7RVTYlcc,1044 +torch/include/ATen/ops/_upsample_nearest_exact3d_cpu_dispatch.h,sha256=4BYMdYAd4YmCuJC_AaGxjpzKl-B-Wa3ZS2oIxy2KXGs,2141 +torch/include/ATen/ops/_upsample_nearest_exact3d_cuda_dispatch.h,sha256=TN1hUXtyrzWp5URI42yKygC-HmbM6bBAwFV1tH-uo8c,2143 +torch/include/ATen/ops/_upsample_nearest_exact3d_meta.h,sha256=-_g0KbMVqbB4y-Vv5cioOiDpopRmFjkbAtXJSzS5-Lw,736 +torch/include/ATen/ops/_upsample_nearest_exact3d_meta_dispatch.h,sha256=GwE-6KNC5IUdDHtxQua0p_lFTFVrcfmlqzE6lFjMOSg,2143 +torch/include/ATen/ops/_upsample_nearest_exact3d_native.h,sha256=Ujdda_Ov2wh1vJUI11lfrrXyEVnWRURvwTxpapxH-zg,1527 +torch/include/ATen/ops/_upsample_nearest_exact3d_ops.h,sha256=h5kTx6IQTy9FOIO6nAlpXut9b6TRu303OrVW8LidZzY,3476 +torch/include/ATen/ops/_use_cudnn_ctc_loss.h,sha256=xW5UG9ZPMK6S6lYSpz3oxpQbnEeSBzVca887qgd-tIM,1333 +torch/include/ATen/ops/_use_cudnn_ctc_loss_cuda_dispatch.h,sha256=_JdPWp-bKk5rX5Kl_Rcyfc_raJGUKB1uoELuKQt6LTw,1018 +torch/include/ATen/ops/_use_cudnn_ctc_loss_native.h,sha256=bwJNczL-4GBDMK3ehPdg9L9nE4aV2IJ3o35SXRFEHAw,790 +torch/include/ATen/ops/_use_cudnn_ctc_loss_ops.h,sha256=h9EsRG2eToyiRF_v91bG36w1H01ARfWOCa2mlIWWkF8,2298 +torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight.h,sha256=CKIs1ohuoa5iq3Lb0A-FEMwqkuuOEiw6TIoEwM_6_BA,671 +torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight_compositeimplicitautograd_dispatch.h,sha256=i6BU07fqmo_ZVFMdOr5cuvGL-g5jXTnHCC4xqyoCG6A,758 +torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight_native.h,sha256=2BWNYHuwkOXE0oR7FXJg36gdw3bkc8V3FOTVul0bU9o,481 +torch/include/ATen/ops/_use_cudnn_rnn_flatten_weight_ops.h,sha256=8vsONtUEyv1-OyR_bSEalS_2YLlANwbobrcUn_JXuFk,939 +torch/include/ATen/ops/_validate_compressed_sparse_indices.h,sha256=SHv8ZcMQu6FggSDAt-vi8KtnnThBM1Rz5hj6ydGye_k,941 +torch/include/ATen/ops/_validate_compressed_sparse_indices_cpu_dispatch.h,sha256=JlPzyXxgay2-czVFdBPfVlK1Y6MhjCdKlDjFaF4hmew,837 +torch/include/ATen/ops/_validate_compressed_sparse_indices_cuda_dispatch.h,sha256=XzfESsww_gubv4HgOO0Wbv7bb8D79GjWDfn8VMUdI1w,839 +torch/include/ATen/ops/_validate_compressed_sparse_indices_native.h,sha256=dunnUL4sx2C50CbkZV7PozXzSoaLoPn7TR8Yy35kmmI,784 +torch/include/ATen/ops/_validate_compressed_sparse_indices_ops.h,sha256=X2xiIy-OlWJL0JCTFoBnqdk36YFWCw38Yd-Ylz6qpNk,1343 +torch/include/ATen/ops/_validate_sparse_bsc_tensor_args.h,sha256=8_2xDTz-X-0K2sNqBAWLhDk5ma9O8S4JV3n8ZjP3CSM,898 +torch/include/ATen/ops/_validate_sparse_bsc_tensor_args_compositeimplicitautograd_dispatch.h,sha256=rl7t3mamj1oDgb1XdfwfKqimPIEY3i12sF8x2xNkCqY,873 +torch/include/ATen/ops/_validate_sparse_bsc_tensor_args_native.h,sha256=pp9CFi6_0GXUivlnjcYWKgk7w4Zh-RCPgx_o0mOdOCI,596 +torch/include/ATen/ops/_validate_sparse_bsc_tensor_args_ops.h,sha256=RRjSc5zatqnMG74atyzUG9wIlcewIO7lU2b0gfSpXSQ,1313 +torch/include/ATen/ops/_validate_sparse_bsr_tensor_args.h,sha256=-3iBa3-hNvrDWayHf8dz_uJL0ONTBradcwP7i7MJP-U,898 +torch/include/ATen/ops/_validate_sparse_bsr_tensor_args_compositeimplicitautograd_dispatch.h,sha256=4DPwWFqCNHh2d4QhbvkI0uRTb2vnT0vG6qWS5Bn0O3U,873 +torch/include/ATen/ops/_validate_sparse_bsr_tensor_args_native.h,sha256=uOf7Hay9FpSnmyRn_6DHUCTjOD46q45-wo2jE-QVOsI,596 +torch/include/ATen/ops/_validate_sparse_bsr_tensor_args_ops.h,sha256=iaCqOb-Gs3FYtgzsch8lblm7CgNM58s1tfyjo95E8Q4,1313 +torch/include/ATen/ops/_validate_sparse_compressed_tensor_args.h,sha256=QKXn0zCuO8GA3WbQQMQ4OEKdrxp5W5YSj_zEpQiYqKk,992 +torch/include/ATen/ops/_validate_sparse_compressed_tensor_args_compositeimplicitautograd_dispatch.h,sha256=SFeuUQe70FZIJWGkTW-YXMu24dsH8sBn7pNEjQbJ-CU,907 +torch/include/ATen/ops/_validate_sparse_compressed_tensor_args_native.h,sha256=rElxztHWKO9FlopsVFeXeA5wjmWvKsvVMUPTDAuYoyc,630 +torch/include/ATen/ops/_validate_sparse_compressed_tensor_args_ops.h,sha256=JyirtCwe5nT-P3ZTKIMD9Ggg1D58IR8OEUjchsNpaa8,1423 +torch/include/ATen/ops/_validate_sparse_coo_tensor_args.h,sha256=zf77rCi_l1uWkUysdX_Gn6tTzJXuG7WIIJIitGfb9aU,904 +torch/include/ATen/ops/_validate_sparse_coo_tensor_args_compositeimplicitautograd_dispatch.h,sha256=KMzU3REMpR4wp2vCyYlGuG3SWrYvBnz6Y-P1fMoIgVI,883 +torch/include/ATen/ops/_validate_sparse_coo_tensor_args_native.h,sha256=l6SyarDMcbJ7u_C901_fNsJ8ropHdYg2ymN6k7TTYvs,606 +torch/include/ATen/ops/_validate_sparse_coo_tensor_args_ops.h,sha256=tUcoLEz1_evP0CFnsWcgthSqoEgPBhcT56u_O1_jZQg,1308 +torch/include/ATen/ops/_validate_sparse_csc_tensor_args.h,sha256=F-ksdoyR7BExZD3EtXPk3rf6a3Km0UDuikyHOvJhdas,898 +torch/include/ATen/ops/_validate_sparse_csc_tensor_args_compositeimplicitautograd_dispatch.h,sha256=jEPx5Wzd0rft4gt_rXby_TaUWQrr4xXeQSEDSi8R4-8,873 +torch/include/ATen/ops/_validate_sparse_csc_tensor_args_native.h,sha256=gyljAuqB3qpgqgcV3aahexHe6xr_7mb2XYZ08SQYrCU,596 +torch/include/ATen/ops/_validate_sparse_csc_tensor_args_ops.h,sha256=Dr47CC7ja4z3PQvmQNaD-yjC5rNmx9nSwAVLxifa4ds,1313 +torch/include/ATen/ops/_validate_sparse_csr_tensor_args.h,sha256=DKiwuGzZ3t4WV5WxZQv8EC_E73hFzNPVoC1SlKWs7Ao,898 +torch/include/ATen/ops/_validate_sparse_csr_tensor_args_compositeimplicitautograd_dispatch.h,sha256=97tjm0S9CMuHTyZOxoWvxIWSts1fGu-oZxXsZIaAqXE,873 +torch/include/ATen/ops/_validate_sparse_csr_tensor_args_native.h,sha256=MVsn0ISY5gczXuYfDuVYe24XUy1JHZapHmXzxKlPYXs,596 +torch/include/ATen/ops/_validate_sparse_csr_tensor_args_ops.h,sha256=3tfxgKKVkKM6rwnVwhOoLf31a9dk0DRPuOI3vuuqYhg,1313 +torch/include/ATen/ops/_values.h,sha256=cVXGMY-7bnms3e-zGf0U-Lw_WiS5ogzEw0XcJvLmEVo,492 +torch/include/ATen/ops/_values_copy.h,sha256=lVpjIZ2vs9m4upW-hOjFoeIHZMzannKNreAdxfPdj3U,1075 +torch/include/ATen/ops/_values_copy_compositeexplicitautograd_dispatch.h,sha256=GUoRJIEBtqQUJUch6ZeSi4AL4qcdBTcunlETGm79B7Y,879 +torch/include/ATen/ops/_values_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=Kl9X6GR53jLoaeVz6TmqnybLLozZ6eoMceGsJy5ECfs,796 +torch/include/ATen/ops/_values_copy_native.h,sha256=1GSknBiSqZYuufc42FDv63zLyD_jG1HmFIj-xTuIxHA,577 +torch/include/ATen/ops/_values_copy_ops.h,sha256=dTG-JF5s82k-LrtQLMx1WNZef3VrZGa_sBbvTSAnk48,1626 +torch/include/ATen/ops/_values_native.h,sha256=5bhPaA31zidAxZbpeEG3kktMrUffoZzhu8Yp-7Wm8mo,495 +torch/include/ATen/ops/_values_ops.h,sha256=G61xxYj8kWYYyC5vYoXstjvXxD412RQJZoed40hoh50,976 +torch/include/ATen/ops/_version.h,sha256=uqXg9zjk-3J946AN1Q7ZFSd3gsX_gwFB-5OyFOLoomc,493 +torch/include/ATen/ops/_version_compositeimplicitautograd_dispatch.h,sha256=VQe1SgTRZUcc1Q89pAXI0sPrXrCmizxErnitfKmkEiw,763 +torch/include/ATen/ops/_version_native.h,sha256=AfAlL0xhB_R0euFe5VDKu_xjvjWZkUVhQkrRvOajEvw,486 +torch/include/ATen/ops/_version_ops.h,sha256=eHq5xXvANEty1z3dnXxzF6FQgZoy32mJcc5XipXsjuQ,961 +torch/include/ATen/ops/_weight_int4pack_mm.h,sha256=BcUm2dwrNr9NnY5i2XoIumH4zViUfPTo8YS4qxB0a8o,843 +torch/include/ATen/ops/_weight_int4pack_mm_cuda_dispatch.h,sha256=K9-5RIQv8I6f8j5D2IiPa1ppKIyJw6nbESXREfI4HDg,815 +torch/include/ATen/ops/_weight_int4pack_mm_native.h,sha256=irfaSBrblDT2TIdSywLbngBIdnFsqNaCl3Kvx4IiKG0,585 +torch/include/ATen/ops/_weight_int4pack_mm_ops.h,sha256=je8h_EGRAW7fExjjYH1FYpaLWlAP09fC6M_EizWzryk,1267 +torch/include/ATen/ops/_weight_norm.h,sha256=QiYg4TjMe7ktZ-GHAwgJOxNSHXBtxZnG1O6q8we_fAU,706 +torch/include/ATen/ops/_weight_norm_compositeimplicitautograd_dispatch.h,sha256=72xdbSxcp0pSanEpxTjc7JParWoyAh7wxoJDIhhDgA0,804 +torch/include/ATen/ops/_weight_norm_differentiable_backward.h,sha256=exvxwcPIQCOrSUhLVqnr9NFStqo4VQAnKCOEC2qMbxI,984 +torch/include/ATen/ops/_weight_norm_differentiable_backward_compositeimplicitautograd_dispatch.h,sha256=6FfonTNV7IpjA113GFW1ZGh3359dnWKChhuQSCHiOo0,922 +torch/include/ATen/ops/_weight_norm_differentiable_backward_native.h,sha256=lZk9Jrcmq4_LDuO0Gxi2RRWvv3HNdivH0gUSC313yJo,645 +torch/include/ATen/ops/_weight_norm_differentiable_backward_ops.h,sha256=ZuQANowhjFiymWs-Q07monxclLzImMgWVppJBShbsyY,1480 +torch/include/ATen/ops/_weight_norm_interface.h,sha256=L5RJC63oAd9Qo6V81YbiWJF2LyeHDfnlz_zR3xdonlk,1551 +torch/include/ATen/ops/_weight_norm_interface_backward.h,sha256=wBcNWcDKsucyqSQGUYj5rKZRgZ7MVjlivyc8YPjA8Po,2084 +torch/include/ATen/ops/_weight_norm_interface_backward_compositeexplicitautograd_dispatch.h,sha256=KeuaJ5RYGGtOqiKBbBgAbdBRDmglt9vvzA-z4LOEIy0,1217 +torch/include/ATen/ops/_weight_norm_interface_backward_cpu_dispatch.h,sha256=Zt3kPCHxlkUOEBxVnVrB763dq-1XfgHOK298LrdueyE,873 +torch/include/ATen/ops/_weight_norm_interface_backward_cuda_dispatch.h,sha256=PAJU5hlv45Hf54SNcN2Z1RZem_7u0gczcNYAWs4tBsc,875 +torch/include/ATen/ops/_weight_norm_interface_backward_native.h,sha256=YrYidpKCOVrTzQXFNKDcdrVAZOU5XFG9oeB9yNY7FPg,1087 +torch/include/ATen/ops/_weight_norm_interface_backward_ops.h,sha256=0eP0Tob3IVclSXDry6-G7uowjmnnVOoPspxuOPt5G08,2668 +torch/include/ATen/ops/_weight_norm_interface_compositeexplicitautograd_dispatch.h,sha256=9MFh2LBtWygir10PGloql-X_3tFJJCd727a62LCMG5o,1059 +torch/include/ATen/ops/_weight_norm_interface_cpu_dispatch.h,sha256=IjGW79hTAoGDV6hN7OUo1RYQSgdjeBYDSzhdeuccVa0,795 +torch/include/ATen/ops/_weight_norm_interface_cuda_dispatch.h,sha256=eyK0rAmzHhKbBk020hL59btp6wAppzXkZpKTQgcrKwE,797 +torch/include/ATen/ops/_weight_norm_interface_native.h,sha256=PGVWDd6iwA0ew8JTnytOa_GazDJjlCfKm8pCP8sy1Sc,851 +torch/include/ATen/ops/_weight_norm_interface_ops.h,sha256=4HPJhcMjEmddnNzd6m4jfxvfiQGSNGGbkvAF-wUZFw8,2160 +torch/include/ATen/ops/_weight_norm_native.h,sha256=jy3Vx5uMEQdzLjfhTpcrUqxpCE6P9mwfafWsMD68RbU,527 +torch/include/ATen/ops/_weight_norm_ops.h,sha256=lvFNc55xUUnEx2AhFpS9z4ehlSvtshmXPLZHgDJjf7U,1096 +torch/include/ATen/ops/abs.h,sha256=7NWcK4tY0s4r74wMHXzWAENzF2jhgLZ1ej16OSiwuOQ,1118 +torch/include/ATen/ops/abs_compositeexplicitautograd_dispatch.h,sha256=Sd14UZRfkTCXhNMw0kzSi9_XNtp_kwSBd-kAPnpUWrY,809 +torch/include/ATen/ops/abs_cpu_dispatch.h,sha256=guyZY2PA6mb3ZW8ApEw8_dWj_yPTUfHqFD_ZjjHBv6k,817 +torch/include/ATen/ops/abs_cuda_dispatch.h,sha256=BH8wfKMo0aJ9_ZeRiRbjXCGIaqjc0dxQLHjJZtpvY_k,819 +torch/include/ATen/ops/abs_native.h,sha256=ZGlX4O6rjAFHWF0DFvi-X7Z0mIhUSgbgFKrjP5scMQ0,1134 +torch/include/ATen/ops/abs_ops.h,sha256=5_loAyBNGiXWAcrBV324Z2ivRkd_QxRQqIJxxxPAraY,2095 +torch/include/ATen/ops/absolute.h,sha256=9igye32XRpyD0ZhF1qfBh5IIjUg_Q74-PBh19M5hD_E,1035 +torch/include/ATen/ops/absolute_compositeimplicitautograd_dispatch.h,sha256=aCllNnGdo-W3Mi8_NeGVbjB8PQch7PJaQDUuuWTz_mg,980 +torch/include/ATen/ops/absolute_native.h,sha256=sOFR-xGOS57M_y0xVSpXvdeqLeQRlQZIEIwU-GhGzKE,622 +torch/include/ATen/ops/absolute_ops.h,sha256=mSag_6aFmyUM125g8NNbN0EkhXFLTs5GbGvQbKJdvDg,2140 +torch/include/ATen/ops/acos.h,sha256=7IYjU9SBNNuOJasPhTNvB_iRXsRN34MIWBDpdGfj3h0,1131 +torch/include/ATen/ops/acos_compositeexplicitautogradnonfunctional_dispatch.h,sha256=7m2UUrN6V0OifYWhq8Y4JdyeU27SaP4jsE7yeFNDkno,837 +torch/include/ATen/ops/acos_cpu_dispatch.h,sha256=_mWbzBse4usazcAkWTyaYcigoywudsk0Of_dlUUMyLs,920 +torch/include/ATen/ops/acos_cuda_dispatch.h,sha256=nHWrZz-0VZnbDGWKYT1YoO0l8UJXhjLl_bd_QxTFC6o,922 +torch/include/ATen/ops/acos_meta.h,sha256=W9df7qjF-RT7P4HJ84Vmudb8pehMVFMu4TtXD63DWBI,584 +torch/include/ATen/ops/acos_meta_dispatch.h,sha256=emksaFT8ie8u9RZaUXkWI1PmR1bLCQhFbM1xnO49M48,922 +torch/include/ATen/ops/acos_native.h,sha256=LtN06lwzNz9oYz9AReQSizpy9b7c18TKpSqAOcZMibA,601 +torch/include/ATen/ops/acos_ops.h,sha256=GZKP3FqYRG0qyWkaYZMLYNI4MEtNr4hi9BJNH82CyOs,2104 +torch/include/ATen/ops/acosh.h,sha256=EvOtCV4lH-zcYUiB0rXiF4ARWWVyY35HyRHT8vLFH_M,1144 +torch/include/ATen/ops/acosh_compositeexplicitautogradnonfunctional_dispatch.h,sha256=lvTlS6z_YYckApSKjIHMwcGS_4rHdhYtbyohz0Wlw6o,839 +torch/include/ATen/ops/acosh_cpu_dispatch.h,sha256=tSsT1qwMLbVIY3CHXWHQ4mi3yULlk6jglSXeOdIMzME,924 +torch/include/ATen/ops/acosh_cuda_dispatch.h,sha256=-xX9J6cRkppVrvGeEfSGMNPMQDEisgTvt4-eht5YVfM,926 +torch/include/ATen/ops/acosh_meta.h,sha256=gXIBzeKwO9qIEIaXObFE6ps_YfC5yZRyHmttW59j65M,585 +torch/include/ATen/ops/acosh_meta_dispatch.h,sha256=xHl13gBpTEhvg3VCexx1NtNv9vfED9X07Tk57EBaYQI,926 +torch/include/ATen/ops/acosh_native.h,sha256=FueJ0mR5W3Nf-J32yDQgnTNRKSuhR2sjIwrI4LMsCqY,604 +torch/include/ATen/ops/acosh_ops.h,sha256=kjjNzLZhzN04HhYVAYQVMmkkWKTgvZr3-TFIbVLaIRY,2113 +torch/include/ATen/ops/adaptive_avg_pool1d.h,sha256=14szbTomPravAVCZfAnQ7pRj5U23pGiAf3cASv3NE6k,739 +torch/include/ATen/ops/adaptive_avg_pool1d_compositeimplicitautograd_dispatch.h,sha256=doSzMvk_5-_s1cYEsx_hdPOIlJnNA7bM-7ilOjVir4M,806 +torch/include/ATen/ops/adaptive_avg_pool1d_native.h,sha256=kqsfuujzMOw4-e8bzFrK1FXQA10d5KTWoJ95Ur2i_Bg,529 +torch/include/ATen/ops/adaptive_avg_pool1d_ops.h,sha256=z-ZTpOpDzKrPuk3cQqZhVNtuddywbhCsFC3exq1YLiY,1101 +torch/include/ATen/ops/adaptive_avg_pool2d.h,sha256=MGmtt80bN_NtSgntQYuDtw8IfChNL3y8I21ciwOs2TE,4128 +torch/include/ATen/ops/adaptive_avg_pool2d_compositeimplicitautograd_dispatch.h,sha256=t58FI59zAhX2cTuIzvks0DctrAqrGLo1xp3oPn2oHAo,913 +torch/include/ATen/ops/adaptive_avg_pool2d_cpu_dispatch.h,sha256=TgCv13yCD1tH1Vq7ThKkaZdUxNJu5Rwe2byz8WiwuQg,1170 +torch/include/ATen/ops/adaptive_avg_pool2d_cuda_dispatch.h,sha256=wmhJw_rDfYi6KQPTe9931Gl83GKVUl30uRpAYbvyikM,1172 +torch/include/ATen/ops/adaptive_avg_pool2d_native.h,sha256=v4379_eMbe5y_eoZIrvp2zyCjEuyqDsY_Kjsh2ag1wk,921 +torch/include/ATen/ops/adaptive_avg_pool2d_ops.h,sha256=pcGba5OIrKKbh3kI1H2-lEvVwLI_UUuGGRbR1eOjoog,1888 +torch/include/ATen/ops/adaptive_avg_pool3d.h,sha256=ANPU3ikblAdS-Pf8TQ3AlZI30s8xTtPw-PTlXmcaWhY,4128 +torch/include/ATen/ops/adaptive_avg_pool3d_backward.h,sha256=VInlvkUkUU-oTI1nWHHDF_4kbPZQ_fVyNEnhhxP49F0,1234 +torch/include/ATen/ops/adaptive_avg_pool3d_backward_cpu_dispatch.h,sha256=v6wC2GCnAzBHhY85cfPPRnbOCOto6mPhp_VFvACFfwE,945 +torch/include/ATen/ops/adaptive_avg_pool3d_backward_cuda_dispatch.h,sha256=bFu-IufA6K9L-EadptOXvHGFDEbn7IevfhsZbXs-HQU,947 +torch/include/ATen/ops/adaptive_avg_pool3d_backward_native.h,sha256=6vUOgJZdTvWNgLO4szAcO54GRz4cM5mtJulyyeW-sjY,720 +torch/include/ATen/ops/adaptive_avg_pool3d_backward_ops.h,sha256=b02yK8wkja6Xn81kPD8_uzwL0AuiWIxFdKaontjOU9c,1269 +torch/include/ATen/ops/adaptive_avg_pool3d_compositeimplicitautograd_dispatch.h,sha256=aK7I9UhQVql8xucJeUbx0XkuiwbGgAkAJtTPpT20xc4,913 +torch/include/ATen/ops/adaptive_avg_pool3d_cpu_dispatch.h,sha256=Oyft_GQQdDU8Sqq-4DhG7Gw8LiRQdcJ1IhY5jpDS38k,1170 +torch/include/ATen/ops/adaptive_avg_pool3d_cuda_dispatch.h,sha256=Jgk69BHO0qGFGxciujaApOHckujk_uuf5w5_VFjGzGk,1172 +torch/include/ATen/ops/adaptive_avg_pool3d_native.h,sha256=FjB1zU-1vMczm2LFAGqLzYVb2DmvaAQhbdCx7MFzRqw,923 +torch/include/ATen/ops/adaptive_avg_pool3d_ops.h,sha256=M3psuKatc3eK6G7KVfPhe7NfIK4JW_bWdcHTifr9A9Q,1888 +torch/include/ATen/ops/adaptive_max_pool1d.h,sha256=RUgIyRPFGtVQxBPRizkQ55Php45kiPaIv8KSO9MmvZg,774 +torch/include/ATen/ops/adaptive_max_pool1d_compositeimplicitautograd_dispatch.h,sha256=te6hl7u04jOMEM6Bv0pOyQ6fnJh6Nyh8iOIH_BpU5Rg,831 +torch/include/ATen/ops/adaptive_max_pool1d_native.h,sha256=WVrghxSm1o5Xbw9l1uS5C-9dwMxr3OtlYnTAfuRSmwk,554 +torch/include/ATen/ops/adaptive_max_pool1d_ops.h,sha256=5Uto2fSXm9Uo6VxapRHSEYrFIftA48Oaz3nsnrhXR8E,1186 +torch/include/ATen/ops/adaptive_max_pool2d.h,sha256=_jVUAw5gE9RK2crSjPwNQ_az6eEC2XGciIIAYhugyP8,1550 +torch/include/ATen/ops/adaptive_max_pool2d_backward.h,sha256=eQ8aDYGDQgKHNUg3oyq1mK9seN8JtIS4_uDHZJ48yQM,1659 +torch/include/ATen/ops/adaptive_max_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=Vcb_6ELEGK2EcZofQpiLp4hyAwqio5Pz2wUS6zOfofE,872 +torch/include/ATen/ops/adaptive_max_pool2d_backward_cpu_dispatch.h,sha256=Y92LqbI_PYF_A_GHOSML0rm7ZhoXlOBk9ozXUT_qg88,1137 +torch/include/ATen/ops/adaptive_max_pool2d_backward_cuda_dispatch.h,sha256=QSGHqMXSuCoFT4nX8HvDpOpkkrCIdazlvatyzS5gcog,1139 +torch/include/ATen/ops/adaptive_max_pool2d_backward_meta.h,sha256=52J_MYQ7dtdbvMINEtSUiVPXXk0yhsY9h7idOvaFGok,668 +torch/include/ATen/ops/adaptive_max_pool2d_backward_meta_dispatch.h,sha256=16jjySoVenD0G_MpOlRxESreNPcV25gUZpzEXeU566U,1139 +torch/include/ATen/ops/adaptive_max_pool2d_backward_native.h,sha256=CU4Jbux5Qa_EhPPt9QjjX4MKTxRMfiSGSAsmP6tOO6g,1001 +torch/include/ATen/ops/adaptive_max_pool2d_backward_ops.h,sha256=2PWrGxGVOiurUBSdZF0aA3uGOyeVE7YdyLSlXAqeARQ,2156 +torch/include/ATen/ops/adaptive_max_pool2d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=aTrCt6bg9EtQzFEIUGk94x14eDa7xcdTcRci9zhBGcs,857 +torch/include/ATen/ops/adaptive_max_pool2d_cpu_dispatch.h,sha256=3rjzlZNn-GDG5yPtmg3ukZuhuh-4mQ0lD9lGKK7F9Ao,1126 +torch/include/ATen/ops/adaptive_max_pool2d_cuda_dispatch.h,sha256=Pe3PvthDJrktjTKO6Xn0pfbQk7IfHyLP7qsUYgJv8kY,1128 +torch/include/ATen/ops/adaptive_max_pool2d_meta.h,sha256=JsjkALO9ec9yweoLCp5TA2xUMqm0HAJvQHLXcJ8elOU,628 +torch/include/ATen/ops/adaptive_max_pool2d_meta_dispatch.h,sha256=ojHCji9QFmLNqeB4XyiNUTv6h2IB54lyusJ2LxdjOJI,1128 +torch/include/ATen/ops/adaptive_max_pool2d_native.h,sha256=V-Qwrfm1JzrLQJULPt2XwXIprFdOKPTYpiH4yfdlNXE,936 +torch/include/ATen/ops/adaptive_max_pool2d_ops.h,sha256=5okGZgclefyRYK06uuYgVVQM3pDQngSUhtKxppWhE3M,2116 +torch/include/ATen/ops/adaptive_max_pool3d.h,sha256=VgHZzMMCEXN659hTQQJP9QFrJ01uG5Gozz2N354a15w,1550 +torch/include/ATen/ops/adaptive_max_pool3d_backward.h,sha256=rxVhiImjT3jafO7Wds9RS9VyReh8-UbzI4iDSCkJI_M,1659 +torch/include/ATen/ops/adaptive_max_pool3d_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=eNU_1o8hj1AWYfKIUIFDFYSwZ7sv6zXgVTnUsAdjMbY,872 +torch/include/ATen/ops/adaptive_max_pool3d_backward_cpu_dispatch.h,sha256=EmjSFgOSv3ieAJv_OjabIyVNFqdwHKxjAUzf0doAWWo,1137 +torch/include/ATen/ops/adaptive_max_pool3d_backward_cuda_dispatch.h,sha256=S3-VDdYDIrjMImEjeWftxuEVppzYwoFX85UPPNj1cf8,1139 +torch/include/ATen/ops/adaptive_max_pool3d_backward_meta.h,sha256=lZdQBtpV9p6kNKl39pqrln7Ydg6XEFR6Xm2bRQk2ZYA,668 +torch/include/ATen/ops/adaptive_max_pool3d_backward_meta_dispatch.h,sha256=c2UMye4JyuLsqMW4LU-tlaqJ6edEcXKOnsKUUWMCPyM,1139 +torch/include/ATen/ops/adaptive_max_pool3d_backward_native.h,sha256=Ymwki7EgX7UCnY6vaP_CqdtIS790E-v_kuBeQZnL85Y,1001 +torch/include/ATen/ops/adaptive_max_pool3d_backward_ops.h,sha256=bg9mjTPj_4bDTDL6b1o2qnhq5o3GbjroOaiJwH5bq00,2156 +torch/include/ATen/ops/adaptive_max_pool3d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=lfPoQeG9XlF2KFsoXnSts9bueIh1KRiml78ivhBVVHY,857 +torch/include/ATen/ops/adaptive_max_pool3d_cpu_dispatch.h,sha256=Z6Z2a6x6qbbDFeMJOOAWiEG7yW11lu92JM7Kj2hv8uw,1126 +torch/include/ATen/ops/adaptive_max_pool3d_cuda_dispatch.h,sha256=9uMJCaI-YgJByAnN-lPBe5ZifV3rVgCN41QsLv1ILCE,1128 +torch/include/ATen/ops/adaptive_max_pool3d_meta.h,sha256=CxhoFD85MY6RUB6HesfcPGa4NwGVkXaATTAZQrKYc5k,628 +torch/include/ATen/ops/adaptive_max_pool3d_meta_dispatch.h,sha256=aWkrLvG6luVX0kuPCRDyNaT-LGV3LZdCMtRE6xG_jlU,1128 +torch/include/ATen/ops/adaptive_max_pool3d_native.h,sha256=Zmuy2IeKoL9eZXqPXuEtHmc1bD030q2oQoCo4Z-yOO4,936 +torch/include/ATen/ops/adaptive_max_pool3d_ops.h,sha256=eDrdZn2oBuHFtY1fHcBSJGq1aEMzE-eYe3f80keSXZ4,2116 +torch/include/ATen/ops/add.h,sha256=b2BuBnhqZ87XuRDOfHlTUrc0Ex03Wk_LupQzrnOuoiU,2126 +torch/include/ATen/ops/add_compositeexplicitautograd_dispatch.h,sha256=j0HNl6Gh438d0W_bXbYoOQRHdwqomzXlfil9BYvvW3w,1174 +torch/include/ATen/ops/add_compositeexplicitautogradnonfunctional_dispatch.h,sha256=xTZVQnxCa_zJUKytiGdSGOUDu7csGECwJVY26eQTkP8,943 +torch/include/ATen/ops/add_cpu_dispatch.h,sha256=1WX_RIqo8xb2cnpUm-ShjUWP7y6QOlVmU5OAfQBLQCo,1130 +torch/include/ATen/ops/add_cuda_dispatch.h,sha256=CCTkCi5g8XV-DJTx8SXCaiER0lDZfZjmcq-sfaCaJ-w,1132 +torch/include/ATen/ops/add_meta.h,sha256=Y28Way2v6PYG34hzj9QzxetiV7fwte1hDU6SeCQHZB4,642 +torch/include/ATen/ops/add_meta_dispatch.h,sha256=niarZ4Y-q3sdm4bTnG7umOl9AACTzkOZ5qp9JcRXkiI,1132 +torch/include/ATen/ops/add_native.h,sha256=oxKgkG_c6giawICJYB42WeMBtDyhagbEsjGM-XIM-iw,2935 +torch/include/ATen/ops/add_ops.h,sha256=41jOg6s039Cb8hH1mXAb6bxbWqPNl8Imk8ZaaGlu7MI,4907 +torch/include/ATen/ops/addbmm.h,sha256=Wp1FkvOCxj5s1--2Vst_kBXy0quYeQrddc7-j-_r5eE,1611 +torch/include/ATen/ops/addbmm_cpu_dispatch.h,sha256=9K63lzHWiGQKkohJm6rdZV-s56Ji7lSTExuQwyztFPY,1360 +torch/include/ATen/ops/addbmm_cuda_dispatch.h,sha256=fl_i4wrG3FQLzCM9GGRx0FLBfAl_oTBeaIGmLkoURQA,1362 +torch/include/ATen/ops/addbmm_meta_dispatch.h,sha256=u6BqOgk1T64Kf8Y3Qfy1RdHkdU028zTEV14g2WMLtsM,828 +torch/include/ATen/ops/addbmm_native.h,sha256=i0CdPzwqErgzCe0RgtAA5q3c1VvDJzfH3AjibEY7rh8,939 +torch/include/ATen/ops/addbmm_ops.h,sha256=6RT3_qGKVZfYJdzbhH5yTQDd4M3n4GPr5S_W_msYop0,3181 +torch/include/ATen/ops/addcdiv.h,sha256=lfG0FChMwaK8iLXNZ3RNH_eYycMGLZ1RmwMX7llg8K8,1497 +torch/include/ATen/ops/addcdiv_compositeexplicitautogradnonfunctional_dispatch.h,sha256=O2hmGLuG1uMX3QbWpkkKUxG1bTQVcsdR-WGXc6w1lYE,1011 +torch/include/ATen/ops/addcdiv_cpu_dispatch.h,sha256=UaOpX_jcOji4dy8OyAaG2jeBPeI7uiAFWRK7XXoESE8,1266 +torch/include/ATen/ops/addcdiv_cuda_dispatch.h,sha256=RmmcfK8nLzBaKunJk7MRunpuI9gNerwY9LMWPkEavkk,1268 +torch/include/ATen/ops/addcdiv_meta.h,sha256=SaaXGMvNpyRVryFkQYiQy-pP4yD6AejtzuVvIWZ5o7I,669 +torch/include/ATen/ops/addcdiv_meta_dispatch.h,sha256=nQI-eU_kFhkVcFFcIiJKlQwyBBtEtofhCUuwCrRspfM,1268 +torch/include/ATen/ops/addcdiv_native.h,sha256=sWjVbnrfcDCLJTn4_dQL9-CwKadwnBGTrJe1Ux5xn8s,692 +torch/include/ATen/ops/addcdiv_ops.h,sha256=bqUz629Mmxa7r-Y1Vq6iSaWMiSUiu4v_pWput2bedks,2953 +torch/include/ATen/ops/addcmul.h,sha256=vj8P8Iy0xctbZDo4Zn1g3ChleCAHdW0l_49J4FO9wUo,1497 +torch/include/ATen/ops/addcmul_compositeexplicitautogradnonfunctional_dispatch.h,sha256=iT2tdmTUBkdu2qGNWVuVXkiHs-MbXEM8cJYx91DNX3Y,1011 +torch/include/ATen/ops/addcmul_cpu_dispatch.h,sha256=TrQXPeEDv-tDOenvoO63lTWo70r7tq12JnITApzhDHw,1266 +torch/include/ATen/ops/addcmul_cuda_dispatch.h,sha256=KyvIz560P8S3-Keno6f-PLeAFGSofTSWhZ_cvfOGj3I,1268 +torch/include/ATen/ops/addcmul_meta.h,sha256=lFMI7GKNJAB7M3S4CozFn6iTdxjqYcgR98o4JcTf9LQ,669 +torch/include/ATen/ops/addcmul_meta_dispatch.h,sha256=BZKfPpgkZ094ykWvhuxXt1Ek3LgyZeN-2ZffHuSiR6U,1268 +torch/include/ATen/ops/addcmul_native.h,sha256=xOluk4DMhuqom77B1kkAiVCS867pjPCZI8JeNvP6ko4,692 +torch/include/ATen/ops/addcmul_ops.h,sha256=2F_xsljhXJlKtY_3ay7iTBzOWkpgXzHoczEbhSMPeMs,2953 +torch/include/ATen/ops/addmm.h,sha256=xwXjsCZPXn5Pek5DnOs3SbORMOPP7L62Sdy1GsgPRfg,1565 +torch/include/ATen/ops/addmm_compositeexplicitautogradnonfunctional_dispatch.h,sha256=jqOudEZYHHcOXTWtPbeFfXnW6ObyVxS1l1KueE_7JPo,1049 +torch/include/ATen/ops/addmm_cpu_dispatch.h,sha256=hiyK_jE3TrYjxzoOuu675SWApWms-hKL-knXeGmOlKo,1340 +torch/include/ATen/ops/addmm_cuda_dispatch.h,sha256=FH4ZTIr2jx6zatXsROZDxxSgxVhWrKgECuD0bBbHU6c,1342 +torch/include/ATen/ops/addmm_meta.h,sha256=ws1qsZ_N9KbXjCrTxcNInT3WsoZPpsB6dYTYpUWZDhI,686 +torch/include/ATen/ops/addmm_meta_dispatch.h,sha256=fFBtcWp4A_kC2smXp662y7hLAQShxAuS0kCET8rNK8g,1342 +torch/include/ATen/ops/addmm_native.h,sha256=YI4somfOzDowYDORn9Nq60C4ijl0JTfCJ7gMvqx-kvs,2628 +torch/include/ATen/ops/addmm_ops.h,sha256=2V4Wqbr9Wvt3GfLCeLEG7Fhm_2iTNXZ329UAmECK3to,3136 +torch/include/ATen/ops/addmv.h,sha256=442NXsM8cSWq5kCN1pFQQKwYs4qFdC6zSeuHZDN6f18,1870 +torch/include/ATen/ops/addmv_compositeexplicitautogradnonfunctional_dispatch.h,sha256=fcvwwlmcROsF7RMPFKZrAkt22mT4-tLpx7367_thNDw,1045 +torch/include/ATen/ops/addmv_cpu_dispatch.h,sha256=f8GvqB9C5_E_8LJJtnhS2DmfZZsmaP3EA7zoGCVrlg4,1332 +torch/include/ATen/ops/addmv_cuda_dispatch.h,sha256=hXvCv9CLCih6tx03U4lhu6U0Q7s7JmSpoDeGwG5R5co,1334 +torch/include/ATen/ops/addmv_meta.h,sha256=J5_ncegSbAdxnPkrqWDAJic8CoV6BFuZbGxwIPhz2JU,684 +torch/include/ATen/ops/addmv_meta_dispatch.h,sha256=jzzplhFZukrmnODgPZ1HN30Xixnu3aYzw9ZtStN-FgM,1334 +torch/include/ATen/ops/addmv_native.h,sha256=WAAsLUru4Zmcdz2E7vJM_H5nXYIvnhSDfwTlwy6p9tU,1343 +torch/include/ATen/ops/addmv_ops.h,sha256=Gclb1xcdEXiLSGSBkeudC68BvE9ZPNTOLBsaQii9o8s,3118 +torch/include/ATen/ops/addr.h,sha256=mxgHj1RRzJAwdeL_2KkB0NsekNWTtCra5T7oZkiCcJ8,1555 +torch/include/ATen/ops/addr_compositeexplicitautograd_dispatch.h,sha256=bOc7NyFek0_nkLCbJp0hBRLou_qHwoFK2PrMA6IGMjI,1380 +torch/include/ATen/ops/addr_cpu_dispatch.h,sha256=jYQdOB0bS-rn2re-pqcnomYmtsNbHKDmREn4YQDkkj4,1182 +torch/include/ATen/ops/addr_cuda_dispatch.h,sha256=1OJL2mngSnw4kZoIgvmeiXg8qVmXK0F3-Z1zr8qlRW0,1184 +torch/include/ATen/ops/addr_native.h,sha256=NQIraBfXdR3a7FK3qAPZupV6pwcZ7Xt9C9tpW5Vi9xM,1265 +torch/include/ATen/ops/addr_ops.h,sha256=onvG12Ch5Px3w3KkmHCFyYg59l4ETPGf5g-9RZduXiU,3127 +torch/include/ATen/ops/adjoint.h,sha256=4jWA_fD_h6fZKi1uQuCyVHUVjAMJi2BGQE7Tg-CdMdM,635 +torch/include/ATen/ops/adjoint_compositeimplicitautograd_dispatch.h,sha256=BesD70OxuwD2C4d9wA1ZThjrS_jgl-zwz2NcDz_mi3Q,765 +torch/include/ATen/ops/adjoint_native.h,sha256=3FR_AmzcrNBiGkk_e6wvx_GsIiUnVvVnuD192jo_AoY,488 +torch/include/ATen/ops/adjoint_ops.h,sha256=G0gGnVej_a3yCd-il4iwnPZhIQiBvS1dlv33LsNYNpM,976 +torch/include/ATen/ops/affine_grid_generator.h,sha256=dsHqwWhOOmJQVB7_He-MFXqgg3Je_NHk1-oEwcaImQk,4544 +torch/include/ATen/ops/affine_grid_generator_backward.h,sha256=6lNEt9pjxOu9lnuZ-OW64E1eJL5s35ExiPQ3Jny8a9g,1815 +torch/include/ATen/ops/affine_grid_generator_backward_compositeimplicitautograd_dispatch.h,sha256=1YaTzIDDslmB_kRpQNu_XINLKr5hJbULjycu0w-JK4Q,961 +torch/include/ATen/ops/affine_grid_generator_backward_native.h,sha256=tyo1pI70NvSrbSjbHoZ6tg9iGDnBI2K6Vc4hsTB2sIY,553 +torch/include/ATen/ops/affine_grid_generator_backward_ops.h,sha256=Rcp22vnB0FSOEhwZSyei01rPjlbb6UUicb_44qIAgpk,1193 +torch/include/ATen/ops/affine_grid_generator_compositeexplicitautograd_dispatch.h,sha256=YSde4i--4aHYeOubjnopPAqprHHj_-BBFgMM0Jn2m48,1513 +torch/include/ATen/ops/affine_grid_generator_native.h,sha256=XIAKzj_W4-3LvH-q_DKIQtlXgeG1HPe7N19KtZqiu8I,692 +torch/include/ATen/ops/affine_grid_generator_ops.h,sha256=6k0fHqvTJaAmH513lUMcbqbdy3Hny09BZZedP0Q1QcU,1994 +torch/include/ATen/ops/alias.h,sha256=k8LPlJmznTMD2kG-FToICN6wgk_RecU_5ZQ5OuuXcx0,627 +torch/include/ATen/ops/alias_compositeexplicitautograd_dispatch.h,sha256=6VotKbMM5R0GKEdKbiGXEYg61aUVwBkp8UCnJpub_h0,763 +torch/include/ATen/ops/alias_copy.h,sha256=3ZnhAgZhhiKLUeK3MoJXzTJ-FmxmV_sYEq9HbGiXdHk,1055 +torch/include/ATen/ops/alias_copy_compositeexplicitautograd_dispatch.h,sha256=5WlJxs_AfbbyZgIoQOn5WluDQFgHf-hth5uNZAKiUpk,875 +torch/include/ATen/ops/alias_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=5igB1i3qMZZwWLGxwYjkaXdz9ocfcYrbOyoil58SKWQ,794 +torch/include/ATen/ops/alias_copy_native.h,sha256=1M3lWL_kkQ_AbMTZVSV-_uP4nam6ZfilDJ5EyGfvwB0,573 +torch/include/ATen/ops/alias_copy_ops.h,sha256=_SDLRmwZkNxnaElSTbSXlnvt9epYSCHnlyKjBNok0EY,1614 +torch/include/ATen/ops/alias_native.h,sha256=41xkLLXSrXYNnM8_EC9ZB5wWlxgJr3RZe4q_kLP22cc,486 +torch/include/ATen/ops/alias_ops.h,sha256=UdmTY1sWnrUkUI6XtE_M8p3je5vY_js5UOX_k3NESwM,970 +torch/include/ATen/ops/align_as.h,sha256=93qHC2YP0lnN6sLVXMsRud0AuyvHFHnXG2mYWeXq-nc,493 +torch/include/ATen/ops/align_as_compositeimplicitautograd_dispatch.h,sha256=nb-cMhkOmO8r21o10vcHCUTjuffjRoyvRLWGU21kApA,792 +torch/include/ATen/ops/align_as_native.h,sha256=_4PsFbHeKcJTJPN5nVaiVa7xae4TjRgUs7Z0OCiZXjs,515 +torch/include/ATen/ops/align_as_ops.h,sha256=4iaBOETSXa0al1vsFhwJ2yMf_YniZFr0wiE4AXHMqwM,1059 +torch/include/ATen/ops/align_tensors.h,sha256=HjtkOWQ2TRBRBsU6EltfXSIpe-W2AbIakzFQgs_2IsE,677 +torch/include/ATen/ops/align_tensors_compositeimplicitautograd_dispatch.h,sha256=rU4xlJF6Io3cOrjdgnyjT0rdhqC3YJsWrxQF0FxX6sc,785 +torch/include/ATen/ops/align_tensors_native.h,sha256=3LDIIxkBnbLWZ33bk6i9BaCSdLuH80rbtn1hSW9lgzs,508 +torch/include/ATen/ops/align_tensors_ops.h,sha256=uJC6UJeoZDJXzNh6WeOq8_TuXP7MTYZGZpOnWrjgZHk,1034 +torch/include/ATen/ops/align_to.h,sha256=FnzJPP0AR0B9P-4bkRngkcGuoWTwJ-Rya16yWVHvROs,493 +torch/include/ATen/ops/align_to_compositeimplicitautograd_dispatch.h,sha256=mB3Eed8SeV_HwN3Lo0_01loyRCJ5u70IzWGRL4uzlzs,890 +torch/include/ATen/ops/align_to_native.h,sha256=DWVrykTO1f71EiRoylvuy5zhDEbQMPjZN5OUTby3P8k,613 +torch/include/ATen/ops/align_to_ops.h,sha256=F81q28IjjCeqx2d5tac3lSucPfArMprvzi79cBwA6uY,1793 +torch/include/ATen/ops/all.h,sha256=6CD2T4HepvSyw_GRMrCI7zPGRVEBaAs2Z-70fU5C1Uk,3343 +torch/include/ATen/ops/all_compositeexplicitautograd_dispatch.h,sha256=-_BR4CX8sA0M6UOMb_ZQtlBnDvtyDVf-eCOnhlXQ5PE,1053 +torch/include/ATen/ops/all_compositeexplicitautogradnonfunctional_dispatch.h,sha256=O8k4zyELAzs9wZSRkvhyxBeMpgOHW_LBnWeSwdgLU8s,971 +torch/include/ATen/ops/all_compositeimplicitautograd_dispatch.h,sha256=kQxvnzw9ZOK7Dl_a4eGZ14boarkNjAn83f9NDPoP4DM,1017 +torch/include/ATen/ops/all_cpu_dispatch.h,sha256=VEvzY92jUf1eH3De9dEu2qeBygt5u-zwB2e-UmhQTGw,1506 +torch/include/ATen/ops/all_cuda_dispatch.h,sha256=hLSwkUrnjWwnVGoZTeAK1x6ihYdCBadIcVHptJe5B4E,1508 +torch/include/ATen/ops/all_meta.h,sha256=sqWMKpw9OXx3WLF1hRxzKXfIKnuMoe3FDadtAIBDU-U,892 +torch/include/ATen/ops/all_meta_dispatch.h,sha256=gI7mXiscbMIjlHsW_c7wyYBNEzTjF0ipFOmn14rw7_k,1508 +torch/include/ATen/ops/all_native.h,sha256=TTsNtZANVGbYdEUKUYmSXF-S1I7lvG7qUa1bdlmb044,1407 +torch/include/ATen/ops/all_ops.h,sha256=pCvxj32lpHnOGrwAffa95HsjcI2Mb3pR7hFH-ApYUUk,5817 +torch/include/ATen/ops/allclose.h,sha256=wS6-9QjgHoA1-ySNa2w6z3H53MXwD9dfqURvIA6fKjk,813 +torch/include/ATen/ops/allclose_compositeexplicitautograd_dispatch.h,sha256=qPU-HKtBOEw9esjjAgBPDcIbEW-M0vvEYcmaMjpiDBw,846 +torch/include/ATen/ops/allclose_native.h,sha256=zOn0by00uyb-qIvPYTFDkHqOZ1z9j4HDwONv86vOMkw,569 +torch/include/ATen/ops/allclose_ops.h,sha256=c2Z_4uavSZhxT3h2hDzitlQiz4xukkyf4anrhd_G4UQ,1203 +torch/include/ATen/ops/alpha_dropout.h,sha256=RzOZFh_vLZvnTu2jDv7HkbgDXHY5KCJsrA347LjftpI,925 +torch/include/ATen/ops/alpha_dropout_compositeimplicitautograd_dispatch.h,sha256=1rAd24UqhI4E6zicZY2T-xcYYa89_UNOgVLns3eX35o,874 +torch/include/ATen/ops/alpha_dropout_native.h,sha256=RwUH_84XkWBkOEI_DDT4NtSy7tgxZ6lPAo-ckrJJo-I,597 +torch/include/ATen/ops/alpha_dropout_ops.h,sha256=qUIiVs70WkXA_gimoLech1U1F0wk29hq4bT4bpXhG9g,1702 +torch/include/ATen/ops/amax.h,sha256=GlKpuv3yuva86v_2Fcjr810TTdtuXjEMizfk8toyiwg,1265 +torch/include/ATen/ops/amax_compositeexplicitautogradnonfunctional_dispatch.h,sha256=dhhdZ0veuV8ZJgob87RF2br8KyyKQ7_hHv3hKNw2nrI,832 +torch/include/ATen/ops/amax_cpu_dispatch.h,sha256=bTSDLN-9YaOQ19tOGvZfTcG5Ft-Uv_z31m3I2CJ13Uo,994 +torch/include/ATen/ops/amax_cuda_dispatch.h,sha256=7l9HqnUM1ITMjbqhv00bDf9RbVRIhqQaUUo3pujE_RA,996 +torch/include/ATen/ops/amax_meta.h,sha256=VgUUz00R56nX9dHp6mF3rpzFyzrDdl653E991Ix4Ntg,619 +torch/include/ATen/ops/amax_meta_dispatch.h,sha256=N0iRa_0MrwaSYe7RERp08xNHexkJTaGAqNPFeVZp_-4,996 +torch/include/ATen/ops/amax_native.h,sha256=gc9HvK2uI6izL7_k-fcVVWW-28QnVj7kqetY7jj5V94,636 +torch/include/ATen/ops/amax_ops.h,sha256=iAJVRECY9vFxm8NmI_uuwiApd3O2R58O-Po7jjAYX7w,1834 +torch/include/ATen/ops/amin.h,sha256=naRws08ETbQZvLMXgJ-zuYIWqQCx2XkS8GeMwPRVIQU,1265 +torch/include/ATen/ops/amin_compositeexplicitautogradnonfunctional_dispatch.h,sha256=n4l4av7to9aq1T46rMJIiK7x5QQ-ZdveuYq2Kt_1OKo,832 +torch/include/ATen/ops/amin_cpu_dispatch.h,sha256=ItocUOwWj82YOdae2NPjYLpsYE5CrmDxMWeJIFeG0Qk,994 +torch/include/ATen/ops/amin_cuda_dispatch.h,sha256=06N22SMiD6AgUOUtQVnUBq2Vu53hnzYeSRmWwIYLJ60,996 +torch/include/ATen/ops/amin_meta.h,sha256=8NP6dSMUScqzSLuqRvDwfDTd29vCP1XbOWPRnUvkIMc,619 +torch/include/ATen/ops/amin_meta_dispatch.h,sha256=pygboi_K_Wt6BTxgR3EQukeYGMEIuBfHQ5sMz3_ByA4,996 +torch/include/ATen/ops/amin_native.h,sha256=esqNxlfZsA1KvJ1O2XQBbT947ETBI9zxQbFfmyY0D7Q,636 +torch/include/ATen/ops/amin_ops.h,sha256=bMiKY_toulTQ37lsjcxrgN8PhkIoNtWerXNDt7wfZ1k,1834 +torch/include/ATen/ops/aminmax.h,sha256=4Rr37gqqBS3pifd053ClABhT17AtgVvAaMC7Qg__p9Y,1558 +torch/include/ATen/ops/aminmax_compositeexplicitautogradnonfunctional_dispatch.h,sha256=535pLH2zlL4ghQ8Ys4x2_aSy8KY_RCqSd1GoqTQz0yc,877 +torch/include/ATen/ops/aminmax_cpu_dispatch.h,sha256=2I4HGuv0mdFk9ioVLJ_LQiMUlgRsJvj25PY5SZmQoSM,1159 +torch/include/ATen/ops/aminmax_cuda_dispatch.h,sha256=VZDAdHQM8iFRwADrwiRrVxVmDU0YzoRFH9udnbT_pbA,1161 +torch/include/ATen/ops/aminmax_meta.h,sha256=p0rrwV2gcD9ev-UMbc667f7f0_wS4jfX9Y3lK0VUHSM,629 +torch/include/ATen/ops/aminmax_meta_dispatch.h,sha256=Vz3zIqS4_ct52RNDEIUeZD-S0ySTc-yU3x0y0V15Bik,1161 +torch/include/ATen/ops/aminmax_native.h,sha256=XFoNbzjJQHFzTIWIYwJosc3LsD1BZWllI2xOWaQhVgE,676 +torch/include/ATen/ops/aminmax_ops.h,sha256=xPhShry37RPwZVmwioj3YsPL8A6JIkyK-Kw-UvgBWx0,2159 +torch/include/ATen/ops/and.h,sha256=UN2emxvrE27Vd8zL8jbB8OelML3QcAkgNO3P0psFPb4,885 +torch/include/ATen/ops/and_compositeimplicitautograd_dispatch.h,sha256=ctXesQUpQ1hfL4Dn-q5t3U_t6qS_dBXGQnLmEqE1P08,1028 +torch/include/ATen/ops/and_native.h,sha256=d_EPDUCeLVvT-cl21Mu45dRusZiCFAUE70OWYWqVbfU,751 +torch/include/ATen/ops/and_ops.h,sha256=5E07x4OAK77LKxNiGzck0e9QPTWR0vHIOSHqQfpy8hQ,3000 +torch/include/ATen/ops/angle.h,sha256=j8Ah-mAy9qDat4XAYIsDXRZz8v_iBt8h5gS5FCbhubY,1005 +torch/include/ATen/ops/angle_cpu_dispatch.h,sha256=WUvzdsQUiT6_2piUZ-GMqNj5TKPj1xR1ZXn3RAwELXE,874 +torch/include/ATen/ops/angle_cuda_dispatch.h,sha256=8GLy2DqUmgoypN1MhJlOpa6fTk_Ei-PCt1iFXpeJStk,876 +torch/include/ATen/ops/angle_native.h,sha256=nUhGb3s6vlGFaWEreAdK19TpM8dqXKof7bO8etWhMVw,715 +torch/include/ATen/ops/angle_ops.h,sha256=ngOD77_TJI1PPxDcgRc3WW_ln3faBNwF9G8TjTlHoVY,1584 +torch/include/ATen/ops/any.h,sha256=Y7BYeJJZuPUcJFsPnLExuJhir0jw_sp2CcJzzt8mrRs,3343 +torch/include/ATen/ops/any_compositeexplicitautograd_dispatch.h,sha256=-Mfm-PFlLBwYShF2nkvgq3WrBzQpoTnGwGeDDKL8F5Y,1053 +torch/include/ATen/ops/any_compositeexplicitautogradnonfunctional_dispatch.h,sha256=SLNTt6owPxxWO7vdqEhXTG2XoFQZemNjKywixgesqcM,971 +torch/include/ATen/ops/any_compositeimplicitautograd_dispatch.h,sha256=w4q59ZxOZzeeaUeo56MtK3xxkRBreQxI0QSzYDqt0Qk,1017 +torch/include/ATen/ops/any_cpu_dispatch.h,sha256=0wPYeWS0J_m9Z2SvOHBwzi2-WvZlHNVyE_RqhkXO2GU,1506 +torch/include/ATen/ops/any_cuda_dispatch.h,sha256=YTBNllhYHcauscodcajqUciY3ZgkF2XtKuzfZWkiIfg,1508 +torch/include/ATen/ops/any_meta.h,sha256=4CcedkOAETmbPavohHNoRVhsBH3kHEjcFi_k6jG-LEA,892 +torch/include/ATen/ops/any_meta_dispatch.h,sha256=34-luNWSVXBKVgddZf7vWwUbimKA1TJ-qAGG_7MrY4s,1508 +torch/include/ATen/ops/any_native.h,sha256=Q4VRpgNOTo9X3C1xkEeF5G3vhMgSjBPkDRv-rCPWeAQ,1465 +torch/include/ATen/ops/any_ops.h,sha256=_7rGnuK_p2AO_HPd88hVwzlLvgW89ABVOap-NtlmMis,5817 +torch/include/ATen/ops/arange.h,sha256=D3XB4ludp6shGSJtBcGExh8t7CqI8lPwwLxSGpmXYxY,4120 +torch/include/ATen/ops/arange_compositeexplicitautograd_dispatch.h,sha256=r1mJchj0MXDoVIWwq2d1kVB9O1OzS-JfghD9EFvgCFQ,1838 +torch/include/ATen/ops/arange_cpu_dispatch.h,sha256=C9Ypq3u7F4qWbk789bHniQ9ymtIaKZcD3VuFsOBZtTg,923 +torch/include/ATen/ops/arange_cuda_dispatch.h,sha256=-qDx-i9dGxN7Hjb4agj2kiiqymNjlQk0Txo82GRrWA8,925 +torch/include/ATen/ops/arange_meta_dispatch.h,sha256=y9edn1kvM-Vqm1UQnotmCTG4u7QKl6O6C-g16zWW0i0,925 +torch/include/ATen/ops/arange_native.h,sha256=08IxBFRE71G_Hk3fpwnehNFQGnISKtgcvHA1T9nRbMA,1456 +torch/include/ATen/ops/arange_ops.h,sha256=8yVa2r6tzQtI39hcns3fmPmU5OjfU3pP0i6dgnod-iI,5175 +torch/include/ATen/ops/arccos.h,sha256=if4Cj4fjSGCN1yfte9SmAS3pq9NOk7p6oG8dSV8IIEc,1157 +torch/include/ATen/ops/arccos_compositeimplicitautograd_dispatch.h,sha256=jw4rphQLHHWCbSigf7ZPoPWNUpOuOgheIke_dAHWvDU,972 +torch/include/ATen/ops/arccos_native.h,sha256=iLeqRhKkPet-4bJ--JOH2PgFaR9wL0y7qJdOcoiRa7Q,616 +torch/include/ATen/ops/arccos_ops.h,sha256=XzT7b2OmYlKiQzgijFX0O-UzI34yQ4AlkotHAsgO514,2122 +torch/include/ATen/ops/arccosh.h,sha256=cG1CGQcppI0ZJ13jl1tvcUIAql55dPf9OVBnmPeU60o,1170 +torch/include/ATen/ops/arccosh_compositeimplicitautograd_dispatch.h,sha256=M69I6MFjaHKVp03uZT2S_pDD6_hQ4jV8BJY8OU_1kBA,976 +torch/include/ATen/ops/arccosh_native.h,sha256=D7Po5aC9eSDBo2hkyxgfbgjYT30CAXCRFdQPvMtoZBI,619 +torch/include/ATen/ops/arccosh_ops.h,sha256=LXGf18YmN3spOeU3-AcJ5NCFJt0uD9uvfKeCELgHtoA,2131 +torch/include/ATen/ops/arcsin.h,sha256=iWRVeBTrv3YEqDXzrinwj33UW3pldnUDgXp8HGGw66c,1157 +torch/include/ATen/ops/arcsin_compositeimplicitautograd_dispatch.h,sha256=76NDHrGaKw6hf5SOCh_z0Qp9UTlYFqLEkKJ2FIg4TbM,972 +torch/include/ATen/ops/arcsin_native.h,sha256=nLvT1NGE0PC0utZFgsbWDVth068Y8AcRDxm4Wp5-jTw,616 +torch/include/ATen/ops/arcsin_ops.h,sha256=Y-yors0QJcbJIGFLa08-PK1QMO24kHpQeidg7EhQldU,2122 +torch/include/ATen/ops/arcsinh.h,sha256=RlICZheO4gTuH_DixdnLhA775wObD_e94vcXreqCFUc,1170 +torch/include/ATen/ops/arcsinh_compositeimplicitautograd_dispatch.h,sha256=-u5rHNy3oW5PM8Chink7cK_FotvnDM7X7fiRO1zEpSY,976 +torch/include/ATen/ops/arcsinh_native.h,sha256=hhyoE6-iSLm9iCVGmhoqudyMOdprfRS3yZ9MlrJrktw,619 +torch/include/ATen/ops/arcsinh_ops.h,sha256=AwAHIDoEgRtbWybqgsbNDR57iEonzht6qtu4ZAKxYZw,2131 +torch/include/ATen/ops/arctan.h,sha256=-hWZ2XpperhQ2yUj9V8sL82rdticoFvZ9CSCcrL9LVg,1157 +torch/include/ATen/ops/arctan2.h,sha256=WtSjeArEF40fg6u-eE9_iivnd2EHtVcX-zdez4QvI50,1166 +torch/include/ATen/ops/arctan2_compositeimplicitautograd_dispatch.h,sha256=Mj6_sZPVIQkHQPq0CLPgTvxVtWiTGUtPKxQI0nZEAIY,1080 +torch/include/ATen/ops/arctan2_native.h,sha256=bIKaUvATwwkzLtMKDJj84wvFnTNfw9xdwiahKBVzMuw,697 +torch/include/ATen/ops/arctan2_ops.h,sha256=ab0oc92yfahperoSk0YZlqrluPhpDBgFgs9XnkOF0IY,2389 +torch/include/ATen/ops/arctan_compositeimplicitautograd_dispatch.h,sha256=a_ZC-HFEXxXTPp-PtIXhh8Oeb0Sxsw633Prlmc9Ido4,972 +torch/include/ATen/ops/arctan_native.h,sha256=3UKxB8TrRmuPT-wn8u4P1e7yx4iBdH0XQthqOuM9L2U,616 +torch/include/ATen/ops/arctan_ops.h,sha256=n1F9speHGRI513G5VnKIphSzzJHuGPnM1c3x7MeftYo,2122 +torch/include/ATen/ops/arctanh.h,sha256=zYuIKTKFeSwGOqxypu1e1c3vFAMjNIeEVdV-Cuohjng,1170 +torch/include/ATen/ops/arctanh_compositeimplicitautograd_dispatch.h,sha256=NHmbbBPpnIzLN7JRZNM1BjOwMHtjZOeAwTx3x8cy0gk,976 +torch/include/ATen/ops/arctanh_native.h,sha256=94kgWrxq5krZJYImSG7P-aIXEQqaWv-ANF5c8_uJ8-8,619 +torch/include/ATen/ops/arctanh_ops.h,sha256=Br9XaLb3raJg1PQAnV5meZ3ftkflbXAsF6ZtDNfOiMs,2131 +torch/include/ATen/ops/argmax.h,sha256=yRBg6cy1OeOshVz-QFimPQP5nolsnslM0KWgotFVj_I,1326 +torch/include/ATen/ops/argmax_compositeexplicitautogradnonfunctional_dispatch.h,sha256=n17Hc2GzodSQsk36F_OhrKHuNdTawcb1K5kVkEJ7Pbw,851 +torch/include/ATen/ops/argmax_cpu_dispatch.h,sha256=PAPyv59kdLIpXD8Zu0cs0FTrd4viqTMAmsQnDeVD2-k,1041 +torch/include/ATen/ops/argmax_cuda_dispatch.h,sha256=rucpeTqsPJMzRCPNAS_t0ZOtcNOvvev88KaW1VUF-1A,1043 +torch/include/ATen/ops/argmax_meta.h,sha256=927S8HAxRm9KbvWQ7_strmf2RG435_3_x_rgc9zlt8E,628 +torch/include/ATen/ops/argmax_meta_dispatch.h,sha256=puzy7ayCioLtMnqbSOeFyugCFQFLpEoa7SSHZ6SOSuk,1043 +torch/include/ATen/ops/argmax_native.h,sha256=qhoAqVjAVmJrW3GNLrZvekk4RnUIdnZe9CfXHuNAVlk,649 +torch/include/ATen/ops/argmax_ops.h,sha256=zernOXy0Ev1maXdvLpjNjQljxus09bELxjLeozlzYLs,1888 +torch/include/ATen/ops/argmin.h,sha256=yTOgQDalGmLMzdH2FMG_2lSRzxoDupB_ik6kPxoXFtY,1326 +torch/include/ATen/ops/argmin_compositeexplicitautogradnonfunctional_dispatch.h,sha256=cIGEEW7zyAk69vSSwlYJz_mpaN-Y70mTbaH0-QkSwWI,851 +torch/include/ATen/ops/argmin_cpu_dispatch.h,sha256=rNDXzNaOOACYCQ_2BjYl7WU1bmB9bu1Ylae6xSPMYoI,1041 +torch/include/ATen/ops/argmin_cuda_dispatch.h,sha256=bRnipHNYD6OscdRXGfqQowWNGSrrwVgUh3pbkti6bfA,1043 +torch/include/ATen/ops/argmin_meta.h,sha256=iM5hYr9ncE-jC8bcp5wB4LywAUxNj6BdyxHxmitu5n0,628 +torch/include/ATen/ops/argmin_meta_dispatch.h,sha256=BNvEOzCM27s7EXG7VFquSXjBhlVGRX7xJCZ_DbUZb-4,1043 +torch/include/ATen/ops/argmin_native.h,sha256=8KmNvvZlNysRu-nElpmHV30NoWNpMrEB1qmezzeZqGs,649 +torch/include/ATen/ops/argmin_ops.h,sha256=QtWIEj3Hxd4Yx5eN3_s4BVbinL_Hx5B0fJ6xUK97J_w,1888 +torch/include/ATen/ops/argsort.h,sha256=oZgAiXJbbOCAUnLt6mhMDlnUWUXgIhGPC_VKlRnRujo,1912 +torch/include/ATen/ops/argsort_compositeexplicitautograd_dispatch.h,sha256=kriIrT3xEyoKQQOQ0yH4OI-hFWUXBLKOAbWdbYqoV8g,964 +torch/include/ATen/ops/argsort_compositeimplicitautograd_dispatch.h,sha256=ALi_yQ4xbpCl8z_HMTr-Q1ySmRNXWUQ__s6Ol5bUaBE,899 +torch/include/ATen/ops/argsort_cpu_dispatch.h,sha256=_tDikW368xSMbc2Co80wIogHxGmgtTgVMrwSBL4JAfU,773 +torch/include/ATen/ops/argsort_cuda_dispatch.h,sha256=MGKQQVtoM6onNkO6aqR3szVYmW-OKfVJT4zWwYXSL9s,775 +torch/include/ATen/ops/argsort_native.h,sha256=-hk4eH2qmjJV1RZIVEPfaW_Bc8FEtOEx7yNCFDHcc5I,865 +torch/include/ATen/ops/argsort_ops.h,sha256=TcLI2sBHnwoTcGUv9YrlJbFBJz_oEGPVvxSAHUFq6rE,3278 +torch/include/ATen/ops/argwhere.h,sha256=lxW15m2c-BL2bFgzNv4vOJ_RLjElIJw795dw93nR5Cc,633 +torch/include/ATen/ops/argwhere_compositeimplicitautograd_dispatch.h,sha256=oEmh9Sazbi83mlQrioLOkXjuaGywuSxfAar2MLfTUkg,766 +torch/include/ATen/ops/argwhere_native.h,sha256=hYnHPpZCIqRqvYhwZcLUXYbvII8tpvEOwzq33TyhLSA,489 +torch/include/ATen/ops/argwhere_ops.h,sha256=FiKHmo4Q5NhVVCxfYYmT6-AJVCZaelmqOms9kE5Rm8Y,973 +torch/include/ATen/ops/as_strided.h,sha256=R2pPGGDpWlH-jkZxO97ywKAkomNYpcMOK1m4pmEUVjU,3838 +torch/include/ATen/ops/as_strided_compositeexplicitautogradnonfunctional_dispatch.h,sha256=XaOGU_eKyv1Uw3Vw93_QjQcTkF7t2r3qeYUPthLHXIc,1085 +torch/include/ATen/ops/as_strided_copy.h,sha256=rO8wLKQwmSkBxSI_XuTpW57YOi8OE2psevIEyL3guyM,5884 +torch/include/ATen/ops/as_strided_copy_compositeexplicitautograd_dispatch.h,sha256=JTK1XQ_nIXnPXUPPIEpNlojof-81ZrgSya2MkXPbtbY,1464 +torch/include/ATen/ops/as_strided_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=_iwe7uIwKamVxTq6uetsbcHWS890dLTyM__YS8P7OkE,1077 +torch/include/ATen/ops/as_strided_copy_native.h,sha256=OqG6pWQW_Sd0PSreW4CGB8oar9ENvsp-FMaS99C01jQ,804 +torch/include/ATen/ops/as_strided_copy_ops.h,sha256=47b2wQ37ppdrHt2D_S_dTRUjAGVSYhnqDJJISIOimZY,2294 +torch/include/ATen/ops/as_strided_cpu_dispatch.h,sha256=pj-lH8S3lI1bw-wJL6D1SeqenmF1zdSrw9EHQFjjJxI,997 +torch/include/ATen/ops/as_strided_cuda_dispatch.h,sha256=W9iPnDCbJPcR0JH4-a2eiATs7f_5fSfLgvW9sY2_aTg,999 +torch/include/ATen/ops/as_strided_meta_dispatch.h,sha256=VqrCp6v2ceCqhXLVgslmKYjcCF76W74Jp2x038Ma-qg,999 +torch/include/ATen/ops/as_strided_native.h,sha256=IHd-jAOmkjxoIvHh6Yn6jCcmQ-sDsFKJzIWnzs-gcGQ,1143 +torch/include/ATen/ops/as_strided_ops.h,sha256=QCDxaOrWKuBMfyt92kWgTsIHyGv-B4UyGZsTRUMUUpA,2215 +torch/include/ATen/ops/as_strided_scatter.h,sha256=0T7bv7OtsDFcgenv_FLlmdSaoLYxOl_WImlpl9p8Vsw,6397 +torch/include/ATen/ops/as_strided_scatter_compositeexplicitautograd_dispatch.h,sha256=q1JAMzPNeX2mLk_-j55nUR-ZTNpz81l2EBiTQ9i3btk,1572 +torch/include/ATen/ops/as_strided_scatter_compositeexplicitautogradnonfunctional_dispatch.h,sha256=0lZWkqZUN0o6G5LGYWYIEeicpI3NxvBP7e9x2uVpU6o,1131 +torch/include/ATen/ops/as_strided_scatter_native.h,sha256=jgGv3U-hVetUjstNQ0ebx2kr5vjjb-4zRSTz6dnSpSI,858 +torch/include/ATen/ops/as_strided_scatter_ops.h,sha256=VPhc5_PIwMCzw5r8TdcjGV9zt1KcaNWiKTG82553mHM,2472 +torch/include/ATen/ops/asin.h,sha256=8ONXMaz32EZXKOTGdpB-fGcPXVrahyjZz1-pasEx1B0,1131 +torch/include/ATen/ops/asin_compositeexplicitautogradnonfunctional_dispatch.h,sha256=rQHAdGl_lnlZVEffdFCs2AaXlBmpzAb5wzfcIbds5I8,837 +torch/include/ATen/ops/asin_cpu_dispatch.h,sha256=OuHL9pTRifagYOu7g6iUfFQMJreoJodOWdFbgPVcJbk,920 +torch/include/ATen/ops/asin_cuda_dispatch.h,sha256=qVhBQh2CBSfrBUdf9zFKS-KGDXK26Sl1QIcnh1609z0,922 +torch/include/ATen/ops/asin_meta.h,sha256=GRXe2VNCu3KRMuloF_wDzFmvWF-1lSu0hzDgMHYRSsM,584 +torch/include/ATen/ops/asin_meta_dispatch.h,sha256=TBZ94Bnz43jcXA7HeDKlOcQsRZMPkHMCIFfL3j3dNRo,922 +torch/include/ATen/ops/asin_native.h,sha256=K_K9H74BbxF_Qn0VNxbOOPKr5rRBibe9MP7B3XYAiSs,1009 +torch/include/ATen/ops/asin_ops.h,sha256=0Jtnf_pn6Q7BfJ-IwT64m7F17ciYPVL_MS07Kj73HRQ,2104 +torch/include/ATen/ops/asinh.h,sha256=sXha91JMQNclGr_fY4jVep9jiaB2VSiZmlMpANMok1o,1144 +torch/include/ATen/ops/asinh_compositeexplicitautogradnonfunctional_dispatch.h,sha256=XWUBJVXWCOR1SGb3SMCsbBtGfphnS7peYo66N9DqMNQ,839 +torch/include/ATen/ops/asinh_cpu_dispatch.h,sha256=vaPhg0Yu4RhDrwXY9uMyvJW6cXCSsEN-Axudj9Z5Gx0,924 +torch/include/ATen/ops/asinh_cuda_dispatch.h,sha256=HhALrALFbQq2j0EFNZin2Gy0ofneP_RMuHZn2uWTjQ0,926 +torch/include/ATen/ops/asinh_meta.h,sha256=MpO7WhZmrrjNX4EZEVs2_ozt11mSeytvDH7yVTSppTI,585 +torch/include/ATen/ops/asinh_meta_dispatch.h,sha256=ruiNpAsP9VM-FNYJnMUtSNrT6I5Sif_czWTS0GpSMLA,926 +torch/include/ATen/ops/asinh_native.h,sha256=lqI_XtKQ-5rmd_p1kRj7Dm1lWti3xoShS27fClY7z6Q,1018 +torch/include/ATen/ops/asinh_ops.h,sha256=1TGQXVsHDV_WAJCq4TsRH79uDgdbIR3dJlLBBcRCAr4,2113 +torch/include/ATen/ops/atan.h,sha256=jEwBbE72H_Owpw0nejwRdipfFkLrz12dTLW7WbQyqxI,1131 +torch/include/ATen/ops/atan2.h,sha256=lR2icqAxi8F9Mr84iN_nbumFjKAzbVWMQL00o6WhEjk,1146 +torch/include/ATen/ops/atan2_compositeexplicitautogradnonfunctional_dispatch.h,sha256=YqjnXLlGksLr4zjEjpY71TGCLDd_j8c6wekt-xoRi8g,891 +torch/include/ATen/ops/atan2_cpu_dispatch.h,sha256=zMYn6YJFoYVrRH1gECfH-7d8fQIy0pnPRyom2Fx6CT0,1028 +torch/include/ATen/ops/atan2_cuda_dispatch.h,sha256=xTWeq4ixt7FJW7kqKHfBxGm2B30LWHz3Me9ibvIuuv4,1030 +torch/include/ATen/ops/atan2_meta.h,sha256=MuBBlxVqP6e-uEhSW4xf-C8QyxhRkMT5ux5gE_JW6Eo,611 +torch/include/ATen/ops/atan2_meta_dispatch.h,sha256=0FeW_H7IsRfktHWg5g928-SR-M3tSnUhxwRBTwDVQRs,1030 +torch/include/ATen/ops/atan2_native.h,sha256=yYL1F7rygVuSSJmndffxs_xLFF19DQAvi_3OXwuMgaI,630 +torch/include/ATen/ops/atan2_ops.h,sha256=oPgNhC4iDShrIVTxeQsF3Ite2xfq7X8uZ5_VEk56hnU,2371 +torch/include/ATen/ops/atan_compositeexplicitautogradnonfunctional_dispatch.h,sha256=gOueKxq4BYkz195quAbAgPb9RC-j40NJoguAcxD7Qv8,837 +torch/include/ATen/ops/atan_cpu_dispatch.h,sha256=RsD0iE3lk2CMWuWAqHSt9ms0l_vLIWDmG3ZacMPf5Qg,920 +torch/include/ATen/ops/atan_cuda_dispatch.h,sha256=-0BMCkdLIhuV69cmGYNL6geP-n2cgn8CBR2IruVHQ5A,922 +torch/include/ATen/ops/atan_meta.h,sha256=88tLgAJ5J_HnqZzyM15uTCOKDUE7LKxRdI74v1bh10M,584 +torch/include/ATen/ops/atan_meta_dispatch.h,sha256=e3sGwmIE1cTJ2t9XlEKXzh7X_unwMwc44R9bXUn5lNM,922 +torch/include/ATen/ops/atan_native.h,sha256=KvokGFMKxha8JApZWmB1n5a9cq0ADNLF5hPeOYg57rU,1009 +torch/include/ATen/ops/atan_ops.h,sha256=oy_zB32bOoengD4QcXNcksPDGm38xwhduenSGkJqet0,2104 +torch/include/ATen/ops/atanh.h,sha256=QXR6X55rBZ4ZeBWdevuuT0obX-OSku7JPr2u78IjsYE,1144 +torch/include/ATen/ops/atanh_compositeexplicitautogradnonfunctional_dispatch.h,sha256=Oo-i9SdkZbDJgWn5INR4ery80-el6-uZBItpmm_GU5I,839 +torch/include/ATen/ops/atanh_cpu_dispatch.h,sha256=DkPSF_j83bb_UQOtoNwRdKH8v0Z3a-IxFY2ryYlYS4o,924 +torch/include/ATen/ops/atanh_cuda_dispatch.h,sha256=0pjqsnPEi1m2644blhUV3ATJD-Z5Ok2lrLTzlCodzF4,926 +torch/include/ATen/ops/atanh_meta.h,sha256=y6mCbeBlntzffvILKQJIb96p4cwA2F9N6HKwGo_XQFA,585 +torch/include/ATen/ops/atanh_meta_dispatch.h,sha256=ie0GfrrAcdXNSxSKl9isvfgjqa9ezsWqoaA4wZkp670,926 +torch/include/ATen/ops/atanh_native.h,sha256=q8UyNsh142pXJiVYCKWs1F9X6RKvIVPQ2GsPeK3KucA,1018 +torch/include/ATen/ops/atanh_ops.h,sha256=_7X3D0VSyw_jU08ktUwx5SfzNqN6zyNC0zYEr41X8z4,2113 +torch/include/ATen/ops/atleast_1d.h,sha256=5Y1eg8Ub_Vpq0K2CV5HNnSghToCQoFH_j1bZ6fytFKU,830 +torch/include/ATen/ops/atleast_1d_compositeimplicitautograd_dispatch.h,sha256=sabjmZ2Q4zW5Ki65GKr0Q5Jx9i5cug-_a4u6EFccaZo,840 +torch/include/ATen/ops/atleast_1d_native.h,sha256=wJRd7nPCXUkBY4TkkXkROXyksiUThteTI3DPMt-mC_E,563 +torch/include/ATen/ops/atleast_1d_ops.h,sha256=58ALb0rasaRybi3xUXE3mIJgG7UBbT3JbUe9nu3ntbc,1596 +torch/include/ATen/ops/atleast_2d.h,sha256=TZqmYODzByzFbOT0Dlw0gLTSqRWsiiWpYyhC2ITlptM,830 +torch/include/ATen/ops/atleast_2d_compositeimplicitautograd_dispatch.h,sha256=Es7bwCTh6K1Hrc1ObtFm19xqK0SEAkdGyBhAeZgdWk8,840 +torch/include/ATen/ops/atleast_2d_native.h,sha256=bGLCAcHQ31advYNBb7jcQFBexuc1oCpRg0gttohdRrE,563 +torch/include/ATen/ops/atleast_2d_ops.h,sha256=yv6WRKaUiFmV2Yk2JFgTrnyFqDS1LQcs-5xehaGKYuA,1596 +torch/include/ATen/ops/atleast_3d.h,sha256=CEhKzESP0GEJOS56eSs3P85tSVvEuFgoWhrsniw3u4U,830 +torch/include/ATen/ops/atleast_3d_compositeimplicitautograd_dispatch.h,sha256=SRXx--ZpMZn0FFTDEadUZ8qWG492up2Wf4YY4duHnYg,840 +torch/include/ATen/ops/atleast_3d_native.h,sha256=Rq_jJ_QxTzpbZ443eOJC2sCUqKB8JAbi9iRUwb2Pt-A,563 +torch/include/ATen/ops/atleast_3d_ops.h,sha256=9XG5HyLn-0rsZMA2fb7l8S4koTXjcK5rZSDApH_vjDQ,1596 +torch/include/ATen/ops/avg_pool1d.h,sha256=4cZBclWtNEBCRWIstXQuXaGZxuV17OKZQ4zAsIPunso,942 +torch/include/ATen/ops/avg_pool1d_compositeimplicitautograd_dispatch.h,sha256=NGtYaWPA-VLongy8-xut4L3di2ee0PApSxIjMyZp2wM,902 +torch/include/ATen/ops/avg_pool1d_native.h,sha256=Lqu0HNt2M6mMsNSfPXk4-HhTOXB10NTEkiejq94dBj8,625 +torch/include/ATen/ops/avg_pool1d_ops.h,sha256=m3VLF_jB5PbRHzrnwPJba_z7eMc855AWB15oEYkhXnM,1385 +torch/include/ATen/ops/avg_pool2d.h,sha256=TXjhjF4O90Z5Fs-59wvTyom-wATr0k2olngAj7YpS5M,2229 +torch/include/ATen/ops/avg_pool2d_backward.h,sha256=S5EpevD0WkugtuI5NoY_x4pehnUbtrE2OK-eC1tmApY,2463 +torch/include/ATen/ops/avg_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=qBtt06HJok_XevG1_GjWD5o7x11M_awWjcLd7J1pOgE,994 +torch/include/ATen/ops/avg_pool2d_backward_cpu_dispatch.h,sha256=9i_PpLOgJgbQlDtjQVvaUIS9_6byS6a8rI8-H36TWoc,1503 +torch/include/ATen/ops/avg_pool2d_backward_cuda_dispatch.h,sha256=8jgr0DZTxxZ7Ch9PywQab-xTrPvE_qtGNXedKgXvo3U,1505 +torch/include/ATen/ops/avg_pool2d_backward_meta.h,sha256=N6gejBw0Zn0NDEtPLy21fZblX3EL95Trs0WmsumLWdU,790 +torch/include/ATen/ops/avg_pool2d_backward_meta_dispatch.h,sha256=Dlv6WdslgdTJtSkBesDPKJ7eZKRWJ56o4iGFsGyzLto,1505 +torch/include/ATen/ops/avg_pool2d_backward_native.h,sha256=2Y46X9pOa5Wwo5Kqb4m1ZHI4H0ai7PoPo79DV5EQ1To,1779 +torch/include/ATen/ops/avg_pool2d_backward_ops.h,sha256=8HLnY1P6JzsEYzZVjFBVqytWdsQUF2cbiBkpiwc6YjQ,2956 +torch/include/ATen/ops/avg_pool2d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=PATNJ92Ucm_HOci1T13JUYbHezBCmgkmitJGnLNhn3U,982 +torch/include/ATen/ops/avg_pool2d_cpu_dispatch.h,sha256=kliz-tkTUURRseoXqxoHW6ahCEYSt9lX7r4q0MhLmrQ,1424 +torch/include/ATen/ops/avg_pool2d_cuda_dispatch.h,sha256=QShMDo80cvQxiYO8NkXIWVyNtxlKiqaUyfRwiPYnXEE,1426 +torch/include/ATen/ops/avg_pool2d_meta.h,sha256=OaS2zUGL5NNNKf7oGa_yyyBhFVo4rdg-I6XYyzhOUAI,3571 +torch/include/ATen/ops/avg_pool2d_meta_dispatch.h,sha256=1WxYS5oupSyoh9KbKD1xKgpQS7Aebq128XsoVq1Ye-E,1426 +torch/include/ATen/ops/avg_pool2d_native.h,sha256=j0X_3qoDSUcPHjYwTCsuj1E4thu0qZBZFMa8GC1SqAE,1852 +torch/include/ATen/ops/avg_pool2d_ops.h,sha256=5YHh-trVjCVUgY_TkQLw-6TI7feLLmqh4qc-VE3jM_w,2694 +torch/include/ATen/ops/avg_pool3d.h,sha256=YXnWnAaHsK1YLTi5-Wui0trC44xQI8qPZk0cLnsTydA,2229 +torch/include/ATen/ops/avg_pool3d_backward.h,sha256=_tbFty3oE9_6k37qDsewYYe-2nto7fS2o9VBd8LZWHI,2463 +torch/include/ATen/ops/avg_pool3d_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=5tLBeGAtcVckq0_rzD1tSTjMS-QitQZPZ2TCz1RRVts,994 +torch/include/ATen/ops/avg_pool3d_backward_cpu_dispatch.h,sha256=Yla6GcLsLve2Lz2LGG3cB0x2rmZEJC3WOdyFYuLQnQM,1503 +torch/include/ATen/ops/avg_pool3d_backward_cuda_dispatch.h,sha256=6jByG8WmOuHnH8Jt9VmxXfJfWVVqCZ68eD6TAGK3Wp0,1505 +torch/include/ATen/ops/avg_pool3d_backward_meta.h,sha256=hICckbq8dKRQAXJLsYCxnxVqGTQwu1vT0ABvZLeyHgs,790 +torch/include/ATen/ops/avg_pool3d_backward_meta_dispatch.h,sha256=bbNnC1hA0A3FWQ578NElXOqt0eTByg-cbPgtm8J3ddA,1505 +torch/include/ATen/ops/avg_pool3d_backward_native.h,sha256=Z5cUVN4VXLGsyZ0qVMcA9_QUGPc4tyPGmKW3Vq-Fz7o,1779 +torch/include/ATen/ops/avg_pool3d_backward_ops.h,sha256=-aXNcyHcLPJ71p5F8xwgQyDA13wHtrUUFO8yVIbl7Pc,2956 +torch/include/ATen/ops/avg_pool3d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=IssKgSWOyFIOfeiAJ61Wo2hJazh-RuqY-nJpds2nSm0,982 +torch/include/ATen/ops/avg_pool3d_cpu_dispatch.h,sha256=AStxN8QR2QV-jzh33i9fWiLvc3pC6PvkOddbOcmkCMk,1424 +torch/include/ATen/ops/avg_pool3d_cuda_dispatch.h,sha256=sqdbp_9DBQKVh4RI5GvX9kgKn_8oD9eySeZC9PIRvA4,1426 +torch/include/ATen/ops/avg_pool3d_meta.h,sha256=w9l-GVd0PuzbdOFZa0mtybRguWiuxxcwoDCV_G_6U54,749 +torch/include/ATen/ops/avg_pool3d_meta_dispatch.h,sha256=k2UF824yw0Tuc5yEChqzA2Qr-8uQk9nuNNDG8gSdLYA,1426 +torch/include/ATen/ops/avg_pool3d_native.h,sha256=hSap_dPrF3y4m5hso3YYCdT9DMIOkpvOeUNDCYxUwpA,1856 +torch/include/ATen/ops/avg_pool3d_ops.h,sha256=KaX905vlNmlkCzGKA-FzjzHYhmXMH_cXsYY5a2Zsj3M,2694 +torch/include/ATen/ops/baddbmm.h,sha256=mYItcuxuRST-io2SE2eZKOy80aGmi6uFTshF_ouLgSQ,1621 +torch/include/ATen/ops/baddbmm_compositeexplicitautogradnonfunctional_dispatch.h,sha256=8Ofyo5U9fpQA2tb4KRJai0j1Sk0D6ilq5kJ0WnWFptI,1061 +torch/include/ATen/ops/baddbmm_cpu_dispatch.h,sha256=9bF7yR6FY-nWl9qxwu6Az1oPbYpqql3ULwyMmpoSsDM,1364 +torch/include/ATen/ops/baddbmm_cuda_dispatch.h,sha256=JOgoWdK9GwbRal6wS-omqqnR9Z05CihOLekwAnC5wi4,1366 +torch/include/ATen/ops/baddbmm_meta.h,sha256=D7B3j9II4JTyOOAbGXlBdvAWCCy4_wSTv9sOU02EipQ,692 +torch/include/ATen/ops/baddbmm_meta_dispatch.h,sha256=ssHIzyYP0Iywmv5IUACn6bnK5wNfBZUIZuYBCquGTLU,1366 +torch/include/ATen/ops/baddbmm_native.h,sha256=oCeklPKm6GEK0wapqF82RtyU6t2muxKC2uDDQrIOLWk,1172 +torch/include/ATen/ops/baddbmm_ops.h,sha256=p5wuL6dyjIRTd7JhOX4J9PDLyj4oV0PodhUo4Vr71tM,3190 +torch/include/ATen/ops/bartlett_window.h,sha256=mjtwCcShGQpSFj5JbW1R_a5DbKfVwVv7n43hwets9Uw,3379 +torch/include/ATen/ops/bartlett_window_compositeexplicitautograd_dispatch.h,sha256=30KoVdso8BsDWk1W_lwzLV_juM2_o7atzlUX7AkIl6w,1690 +torch/include/ATen/ops/bartlett_window_native.h,sha256=dN-91InHJXKAEp5DEOvC8bql7nH-rIKe83O8DUDz0Vo,1062 +torch/include/ATen/ops/bartlett_window_ops.h,sha256=QfYvSZHp-onsJbx4qCpl5PZ3Pme6i5AL5h02ADXDgYg,3917 +torch/include/ATen/ops/batch_norm.h,sha256=oU9WWz9AKTkeVZB9iG2nGbcPJTicH36G1fQvQy21wEY,1101 +torch/include/ATen/ops/batch_norm_backward_elemt.h,sha256=0CeuXiiqNQcfzGUQVtcaxSqfXgtvxH0kJWvis6gEu_4,2339 +torch/include/ATen/ops/batch_norm_backward_elemt_compositeexplicitautograd_dispatch.h,sha256=mtdCGUJ0aFPvyUxoRBGj3lrCXTWyt4nINF2KIas37bU,1321 +torch/include/ATen/ops/batch_norm_backward_elemt_cuda_dispatch.h,sha256=t5kGlMhsEkk2R_KrqQxm22MPPS8hXAWwvbxZMYwbP58,949 +torch/include/ATen/ops/batch_norm_backward_elemt_native.h,sha256=3-93EaSHbWjcRb6sD9WNs8rpoJj_5nrfAsqjeOIhMDI,1024 +torch/include/ATen/ops/batch_norm_backward_elemt_ops.h,sha256=tceaxufU_8Loyx_MaaSSVDL_8_McfMoHSsbCgpQr_es,3066 +torch/include/ATen/ops/batch_norm_backward_reduce.h,sha256=fAYaRguvwQ0VxR1pP-4_5-b_wh3Pz9jztPVRd8w4sM8,2718 +torch/include/ATen/ops/batch_norm_backward_reduce_compositeexplicitautograd_dispatch.h,sha256=eI5a8ukg7bzJN1R5bZcaRn2RYhj7JA0Kz-B83oBfETc,1461 +torch/include/ATen/ops/batch_norm_backward_reduce_cuda_dispatch.h,sha256=5Ad9VK9Qw7MaNVd1cC9UFvvW1bHCLNdA9xEco9D4ZMo,955 +torch/include/ATen/ops/batch_norm_backward_reduce_native.h,sha256=Cl2xfL4tY0g83qWFIdC72KiQkDg5LVAqqDgmpAgzwdI,1100 +torch/include/ATen/ops/batch_norm_backward_reduce_ops.h,sha256=5bNhTCas1kLRaHe3NA8EXRtlro2joEfWxG4wSberhvE,3382 +torch/include/ATen/ops/batch_norm_compositeimplicitautograd_dispatch.h,sha256=kn9FsqyZn0CVw3VT-6jEbyiLHYrLYvZ6NyZ35BvdLnU,1010 +torch/include/ATen/ops/batch_norm_elemt.h,sha256=nXcT1UepqeP4omhz2PzZ3vN9oR_lkIalUp3PcWMdJIM,1868 +torch/include/ATen/ops/batch_norm_elemt_cuda_dispatch.h,sha256=Jya5SkCpUBqzUIISqLltfU0PFS06b_-jlUqnv7Pxs_8,1350 +torch/include/ATen/ops/batch_norm_elemt_native.h,sha256=_QIEupSCfWqvlYSv6OIjY23CSAiiAYIQmvcxkP_-Z_g,889 +torch/include/ATen/ops/batch_norm_elemt_ops.h,sha256=GMTsBi6sq_rQT1Uu3z8PFTkA3yF3Tzn_N1WJZt3mlS8,2614 +torch/include/ATen/ops/batch_norm_gather_stats.h,sha256=YPiOMbefHCczm8lP0wRXf7rWg8GS4mhSelysNSePiQg,2490 +torch/include/ATen/ops/batch_norm_gather_stats_compositeexplicitautograd_dispatch.h,sha256=Tht28TscYWONQy9AQVGWJG9UDKRjBfmi0yso8fnuKLE,1379 +torch/include/ATen/ops/batch_norm_gather_stats_cuda_dispatch.h,sha256=96gvuaEsZjO7_XiObBgpYkYeIXfAFI3AUYGVR-u0Rm0,956 +torch/include/ATen/ops/batch_norm_gather_stats_native.h,sha256=9RZLIb2MAAkzKzG99So6pXsyLqIwRhTYqOaPr483NUg,1060 +torch/include/ATen/ops/batch_norm_gather_stats_ops.h,sha256=4FecxG4xy96nL0IlVIT2VeAHEqIrUjtELhZQFMUm-I4,3202 +torch/include/ATen/ops/batch_norm_gather_stats_with_counts.h,sha256=nGIvTue38jk0uruO-6Iv5-czDOKdX9hWZqw7Np9EXHM,2661 +torch/include/ATen/ops/batch_norm_gather_stats_with_counts_compositeexplicitautograd_dispatch.h,sha256=XxJUPjcDHYKglwRvogKVzVneybIxsi1_arhMnOBoa2Y,1427 +torch/include/ATen/ops/batch_norm_gather_stats_with_counts_cuda_dispatch.h,sha256=xiR4D9N3ymi8swKy3KuHnyLEI7O-LAZwmrB4eXbmZjg,980 +torch/include/ATen/ops/batch_norm_gather_stats_with_counts_native.h,sha256=sMVrRCMLf_Zh0Wd905mBiuL51m03WExtZOkWxtfcSs8,1108 +torch/include/ATen/ops/batch_norm_gather_stats_with_counts_ops.h,sha256=vkC89nfBV2n4ra2nj6nQUCDE2fW2oFrgjGwcLGU4aOY,3352 +torch/include/ATen/ops/batch_norm_native.h,sha256=MsmaGWwk6B_PgL9qH4rdIay6MvgrmLxOORlOgSkV7Hs,733 +torch/include/ATen/ops/batch_norm_ops.h,sha256=fB9xWkvMSaW5_UPoeTvo5NRcOW0ht-1a3W2jiuCV1JU,1767 +torch/include/ATen/ops/batch_norm_stats.h,sha256=eXOOAp6MvpNSRjI2R_qYaGo2VyRia3JZFiIMAC9nz1o,1415 +torch/include/ATen/ops/batch_norm_stats_compositeexplicitautograd_dispatch.h,sha256=ZAPOV0qBmd-GZ87oVVTWdPecx6jR9YeA_z1gDsbwtTo,1007 +torch/include/ATen/ops/batch_norm_stats_cuda_dispatch.h,sha256=HOpegR8AfirwAstSrTCTvVDqyNrGWWNDY54bLXZOhYQ,770 +torch/include/ATen/ops/batch_norm_stats_native.h,sha256=iD5HOO3IGPNuhrJG94G6jMtudA8DcELgaXRvTURkLFw,688 +torch/include/ATen/ops/batch_norm_stats_ops.h,sha256=freO-jdCYv4k0MRr3Z1QDyUDFQ-Y4_68lg-RG1JyvJQ,1994 +torch/include/ATen/ops/batch_norm_update_stats.h,sha256=XANYrkTH2feH8i2LKmaS72UkTksHdmRiAZ9J0xOUjq0,2025 +torch/include/ATen/ops/batch_norm_update_stats_compositeexplicitautograd_dispatch.h,sha256=HBKzU7LKqxlKpvVjoMfzat31NVO_QCmv4I4sLQWc53Y,1221 +torch/include/ATen/ops/batch_norm_update_stats_cpu_dispatch.h,sha256=1zMLsexRNu2tzbaAZvZ9tSQ2kF-rdfJhdAnyZEuWLpE,875 +torch/include/ATen/ops/batch_norm_update_stats_cuda_dispatch.h,sha256=1fKkXSeGlSLxSZBFYk0zlSv4Lj2KRi3fvm_xNsZCqU4,877 +torch/include/ATen/ops/batch_norm_update_stats_native.h,sha256=J8e3D5tgpjKA_wd8vmfYdxGavsuy2T57sujSTgzJ-iU,1115 +torch/include/ATen/ops/batch_norm_update_stats_ops.h,sha256=ZH74nDAtfAZexdA4bYejJqp_dQIZoGZ03Lu4PIhQbE4,2672 +torch/include/ATen/ops/bernoulli.h,sha256=tvrGOsXKc83h5HDPzEoMz4XqL9xzuWNijR7_DLuuS2E,3191 +torch/include/ATen/ops/bernoulli_compositeexplicitautograd_dispatch.h,sha256=p-XoapokZsFOhIxlrVwyds_SVofX-cwmHYlOYX4stAE,1532 +torch/include/ATen/ops/bernoulli_compositeexplicitautogradnonfunctional_dispatch.h,sha256=HStMSm9jpOIs9CDx6H8px5LQ3xvVx8Lzyxi6UIWt7sk,856 +torch/include/ATen/ops/bernoulli_cpu_dispatch.h,sha256=znXI89aHfPEOD_n4hGU4jYVs5ficbZjIvpTCIZjY03s,1172 +torch/include/ATen/ops/bernoulli_cuda_dispatch.h,sha256=HztPSNhE-7mO8xYqZk9wTJQ3ZZu06bgKjduPb8Nzypw,1174 +torch/include/ATen/ops/bernoulli_meta_dispatch.h,sha256=6xesPnlzoN5SXQ1QPnArdxslxK6_LFqAmRBcv2hDxmA,918 +torch/include/ATen/ops/bernoulli_native.h,sha256=G4D0DFRHwHlw6-XhHgyQHYkTTOmaLsUycUW0RczilZQ,1453 +torch/include/ATen/ops/bernoulli_ops.h,sha256=gLzQpwFRUwKULM75PLYIG1wEvtymbFNwtuE3xIBR-O8,6591 +torch/include/ATen/ops/bilinear.h,sha256=SK0pjZcijWWPiNsXuJjA0xHbI9NKdA80ay_Q_4mqRsw,807 +torch/include/ATen/ops/bilinear_compositeimplicitautograd_dispatch.h,sha256=GaW2DpnOeGKaMU4wpFbJ443dQwK5I8AzyCOSHUDMess,865 +torch/include/ATen/ops/bilinear_native.h,sha256=_VAdEFq9womuhbHz3bTrECl4GfoQXroM_v5SuIF8cjU,588 +torch/include/ATen/ops/bilinear_ops.h,sha256=tj-wh1r-F7PpEJ5LggWoGRFOG9Wf07L2U86FDhTJhc8,1291 +torch/include/ATen/ops/binary_cross_entropy.h,sha256=KWxGFd4YxkorHnB6bgll2VQZUD3P7i5EJaBX7HhDtKA,1714 +torch/include/ATen/ops/binary_cross_entropy_backward.h,sha256=kfia5nS6Pz4fzxJXD9usd4IQm_cVDU99gG3uoIk4fu4,2069 +torch/include/ATen/ops/binary_cross_entropy_backward_cpu_dispatch.h,sha256=eBrlB2_E_0IIeKGrEo6LA7aGkcOtqDrmv1CyHEIYLa4,1366 +torch/include/ATen/ops/binary_cross_entropy_backward_cuda_dispatch.h,sha256=g4F6TTmmpfDBdtNnN9-EdeMXWKVjFUuyNq4BCyDFZDo,1368 +torch/include/ATen/ops/binary_cross_entropy_backward_native.h,sha256=1hzxwaMNJQbMMIroEileaRokqGbLP8hgF35BUr7do9I,1347 +torch/include/ATen/ops/binary_cross_entropy_backward_ops.h,sha256=Mhb9IOXAv4c6nkk24QQ4zRNdv8FcYKNzcHzH2Y41MS8,2570 +torch/include/ATen/ops/binary_cross_entropy_cpu_dispatch.h,sha256=jSc6VTqmDD9T4591-u1EHlJSff0ukttl_gSBtCxmdiQ,1229 +torch/include/ATen/ops/binary_cross_entropy_cuda_dispatch.h,sha256=iih7RLF2370rjgWo9PbSajZ2fFm1hL_2S5e2MGxyrMQ,1231 +torch/include/ATen/ops/binary_cross_entropy_native.h,sha256=q8q_koVtme9OTG7-FIZvxYuwsgimq9ZMR8kgdghBHJk,1169 +torch/include/ATen/ops/binary_cross_entropy_ops.h,sha256=vV5a7kAVyjHcBs0Gl2y-PjN90k3w4DyvEgwboX3KhnA,2266 +torch/include/ATen/ops/binary_cross_entropy_with_logits.h,sha256=fbUMZmCNOYXoNctTUzFu3s_sdwpQsSGK7afiOQe0m80,2089 +torch/include/ATen/ops/binary_cross_entropy_with_logits_compositeexplicitautograd_dispatch.h,sha256=l8MfZQAOufGn5moGKLM3gMvouMFoB5dVpjmiQBTYrTw,1453 +torch/include/ATen/ops/binary_cross_entropy_with_logits_native.h,sha256=lhFb0L-hKc3-O1s4F9ccbICn7OeEkjFeOLaNG7pB4wY,911 +torch/include/ATen/ops/binary_cross_entropy_with_logits_ops.h,sha256=XNheKS9IMsUTambNXab45FWsz24uNg1AIdkmHGdZ-vM,2642 +torch/include/ATen/ops/bincount.h,sha256=XkHN_dRVySEbfF_cnrkzzO6j0G6WF_WG7MJ8nFD4zr0,1408 +torch/include/ATen/ops/bincount_compositeexplicitautograd_dispatch.h,sha256=H1mpX2CYBMXqs4rIgoKq7Rr0qhms99LDNo2pxdRONEc,1000 +torch/include/ATen/ops/bincount_cpu_dispatch.h,sha256=Q2nPsKLamW3uIdtShVCTGIfet0Iz0QzH4_hUw7ni7jM,789 +torch/include/ATen/ops/bincount_cuda_dispatch.h,sha256=Ss2f3DIanHElOk_SFS6dcX5iG0Sqpf1JN24Act5M334,791 +torch/include/ATen/ops/bincount_native.h,sha256=Nm3lhT6XIFsg3dIkyxVX2NFUGNstbl6FQKWcQIanReg,832 +torch/include/ATen/ops/bincount_ops.h,sha256=9XPTiptz--0VLYSgwaSva8kDG2khchiBrO9Zw6A0Tn4,2016 +torch/include/ATen/ops/binomial.h,sha256=szhoNfRoDJiSPWiIqDc1Owr4bXUKCw2_yWc8k_dZhgs,1436 +torch/include/ATen/ops/binomial_compositeexplicitautograd_dispatch.h,sha256=-QxfaqR6tvB8wY4uJtTvvH7nyKfrFXgYOsCHmlf4ob4,1016 +torch/include/ATen/ops/binomial_cpu_dispatch.h,sha256=hOWLLZlY3Pk5n4F-p77Kr_wucq13H4C9jGUzwxc88hg,801 +torch/include/ATen/ops/binomial_cuda_dispatch.h,sha256=zp1rWPWxC6qUDPeFh9veqJCgbXe85woykjF5tYOEHYo,803 +torch/include/ATen/ops/binomial_native.h,sha256=Ts5WUQYGelafTJm9rf0VI8Dz3ZXctdUBbqCehydNF54,864 +torch/include/ATen/ops/binomial_ops.h,sha256=nx7mm1Y0asmHlEZWII0Q7owLLqo3F13vKPO0rWnArHk,2048 +torch/include/ATen/ops/bitwise_and.h,sha256=_FUh-JXy1Ux6H_mXdGIK5QnGKEohrKTiNBVW4NlKGzE,2796 +torch/include/ATen/ops/bitwise_and_compositeexplicitautograd_dispatch.h,sha256=8ZaI1H4eg5D_cXL24Bvi7jGQsDcbD5HbSUGog8qBGGU,1400 +torch/include/ATen/ops/bitwise_and_compositeexplicitautogradnonfunctional_dispatch.h,sha256=MJzsMWYVZHkb_5VyR6QjOujDYNDjFMvxA5bGR1eFi1I,903 +torch/include/ATen/ops/bitwise_and_cpu_dispatch.h,sha256=EKMSRJXrsv5kBpkeX3vZpLL7nOd_PhpHorM0coVr9QU,1052 +torch/include/ATen/ops/bitwise_and_cuda_dispatch.h,sha256=kj_kV0ws2q8v7fkOcnn5rNuai5j45Zxc0yiA634Ed4s,1054 +torch/include/ATen/ops/bitwise_and_meta.h,sha256=io9ZroX-MxW0agaSeyfTJ3_uUOyqkXSDYs5xmFpnhy8,624 +torch/include/ATen/ops/bitwise_and_meta_dispatch.h,sha256=Wao3v2z8ZnVqJdDL2fM5AioaxK2PQz-U8U3gxwC-6OA,1054 +torch/include/ATen/ops/bitwise_and_native.h,sha256=V5rCcRdjXXW50kwbhBewro6ozyqyhcYN4lgPt0D8TMU,1139 +torch/include/ATen/ops/bitwise_and_ops.h,sha256=BmmlioF68yYciK1hFJGuMqVccI77tcO2lOLtuEWFlyk,5979 +torch/include/ATen/ops/bitwise_left_shift.h,sha256=ugjGQYfqIVK02lSdoYHPUMXd_dZLloZOmnJxXYteTV0,3034 +torch/include/ATen/ops/bitwise_left_shift_compositeexplicitautograd_dispatch.h,sha256=AdNDWeu-6klGNM-OwdXdXixTJpsmOEpx-KERmCnp-64,1449 +torch/include/ATen/ops/bitwise_left_shift_compositeexplicitautogradnonfunctional_dispatch.h,sha256=xznL0Pf7UHLXibz6MhFFPfZTgxTqrueSt7SRfKgcAjE,917 +torch/include/ATen/ops/bitwise_left_shift_cpu_dispatch.h,sha256=Td4Rxgw-afqnp_BWY9OaUuaUFJ27Z-kSI-zTPvyHYNo,1080 +torch/include/ATen/ops/bitwise_left_shift_cuda_dispatch.h,sha256=-h5zYJVAPvIZN37TVh_ldkAjsqoQpKYEvjOLLLAjYj8,1082 +torch/include/ATen/ops/bitwise_left_shift_meta.h,sha256=h6Fx5jd0DS1gPQPbQm3ntmqtc9cMlk3VTSm5Hbccq-c,631 +torch/include/ATen/ops/bitwise_left_shift_meta_dispatch.h,sha256=eb5xFg84HRrRHn1ubU7lzu2AtnmSndxOlo3lFpOeRTw,1082 +torch/include/ATen/ops/bitwise_left_shift_native.h,sha256=vQOzM-UqhVPvMtDDgLveRVkCDQwqsunQ6ysdXucf7MY,1195 +torch/include/ATen/ops/bitwise_left_shift_ops.h,sha256=hkzyTGjLVduBjtavm6_17ZMRoq71nMcEtME7swaCIvw,6210 +torch/include/ATen/ops/bitwise_not.h,sha256=NqI4CD5P6Fe_fNVxiA-gMOVWKiyRqXQ6IW9g3zFrGio,1065 +torch/include/ATen/ops/bitwise_not_compositeexplicitautogradnonfunctional_dispatch.h,sha256=dfVbUdqzflc6_VEoePRAtcu8wYq47L8kN_ceko_WtsI,851 +torch/include/ATen/ops/bitwise_not_cpu_dispatch.h,sha256=X1haEgPEEWAhmDS8eI1eFu26hgsW81IEdCd88L9DVKU,948 +torch/include/ATen/ops/bitwise_not_cuda_dispatch.h,sha256=2OSMuXUSuYRNZrIMTmCcISa-jw6xGvwRo9C7IC0652w,950 +torch/include/ATen/ops/bitwise_not_meta.h,sha256=xozA2um9u3OpuzSwshAlMCIklldTLXK0rIKwIZlcc3Y,591 +torch/include/ATen/ops/bitwise_not_meta_dispatch.h,sha256=zmQxz6rREY57rwObV5jcWvwixD3sVMKyW3VFUDSaN8Y,950 +torch/include/ATen/ops/bitwise_not_native.h,sha256=Aegjgh1rLebwMK49kHDG-avQC5HdoE1zWMncRCGX6iA,622 +torch/include/ATen/ops/bitwise_not_ops.h,sha256=ytleaNcIwLgLWLGrRSLMIEgW-CDzZ-I31gct5MGdtp8,2167 +torch/include/ATen/ops/bitwise_or.h,sha256=bwutPfrjbOrpn6L5teHvp1JDgbORQSifNj9GkWZ4EbM,2768 +torch/include/ATen/ops/bitwise_or_compositeexplicitautograd_dispatch.h,sha256=JKEgJ0whAcAMbO8NtAt46GUbI-UyQiXVAqHDOIFyxz8,1393 +torch/include/ATen/ops/bitwise_or_compositeexplicitautogradnonfunctional_dispatch.h,sha256=Z1JKmNLgp7K5WmPpXI-oJKMrFrTGHLIogCIZH8m5Al4,901 +torch/include/ATen/ops/bitwise_or_cpu_dispatch.h,sha256=aNXdW5P3YMnd-YnGKwlcz6_jzyRxfVdno8JHOF0B6mk,1048 +torch/include/ATen/ops/bitwise_or_cuda_dispatch.h,sha256=QqkgltCyXXVfabHm7AUK7I6MCvynqL0jsgQ-ruX-nck,1050 +torch/include/ATen/ops/bitwise_or_meta.h,sha256=1KVIJAf2ChXEj6Zv6H5EwmI1GykIgq8qvH8HzhKUeMg,623 +torch/include/ATen/ops/bitwise_or_meta_dispatch.h,sha256=n4UN3njmnUIPZrAvOcob-GKThUtUpouN20gaPZvMunQ,1050 +torch/include/ATen/ops/bitwise_or_native.h,sha256=OHhp27C_hisUO_xM7qCmAP-OW9_OFWHrZJZ-wVmKIkA,1131 +torch/include/ATen/ops/bitwise_or_ops.h,sha256=6HUyKGYr602tD2WkTZI0OKJ03nmjUBoGb_d30PIkp2E,5955 +torch/include/ATen/ops/bitwise_right_shift.h,sha256=WZL7IWwZxkwT91kBLgs12e-iQH1xvTWugkJmptemgTA,3062 +torch/include/ATen/ops/bitwise_right_shift_compositeexplicitautograd_dispatch.h,sha256=Oeyu_Q4mUOeLpeJ6hLvmvW021M-XSTNwbOXTAhQrsgQ,1456 +torch/include/ATen/ops/bitwise_right_shift_compositeexplicitautogradnonfunctional_dispatch.h,sha256=ZLB1Q67deHOZ5bUJYfyETrdQdj21ElCllB4XTdTXkaQ,919 +torch/include/ATen/ops/bitwise_right_shift_cpu_dispatch.h,sha256=98hmqzwBwCeybollq59L1pkfYnPsYJLDEsmVD9ZNPN8,1084 +torch/include/ATen/ops/bitwise_right_shift_cuda_dispatch.h,sha256=3OCzn7HkXoXiXzX8CjCC10oOf4yYqeR74vVFSOHrTJ8,1086 +torch/include/ATen/ops/bitwise_right_shift_meta.h,sha256=zPmfcKx58L1wdBvzkCwdoyZcTu4f6IzdaaA8Sw9q1OA,632 +torch/include/ATen/ops/bitwise_right_shift_meta_dispatch.h,sha256=SMycmub9tn68MQc92iVR0w1BGeldVvAj1wh9V2IuzLY,1086 +torch/include/ATen/ops/bitwise_right_shift_native.h,sha256=Ynzm39qglxrm5BRgo_qSVqnetYDLWL9DE_FDDIKFPGs,1203 +torch/include/ATen/ops/bitwise_right_shift_ops.h,sha256=edmQcHytzGX40reKv5SCX4DDmZzKsAHrprPFXqCbQVg,6234 +torch/include/ATen/ops/bitwise_xor.h,sha256=SpTypmAnaB8yNqBRKkD-G0DpyKgRTAnOJ7Fp6fcp8Ik,2796 +torch/include/ATen/ops/bitwise_xor_compositeexplicitautograd_dispatch.h,sha256=cXHAagz2ZgByCJMCtRiQDqol_MQNDNTnzRifpF6ijfk,1400 +torch/include/ATen/ops/bitwise_xor_compositeexplicitautogradnonfunctional_dispatch.h,sha256=rMofNG8-fc5ojqPyq3YW7EeHRF6qcjAHg-xyO-Z86hw,903 +torch/include/ATen/ops/bitwise_xor_cpu_dispatch.h,sha256=k_hDQhYCc6IQJKGHHZ7W8Z8_Isz7y28HJrNgXjFxLbw,1052 +torch/include/ATen/ops/bitwise_xor_cuda_dispatch.h,sha256=SZV093s2DccxtNOVrKT3ekL-Vz4iiXogTrUIZaCvN-c,1054 +torch/include/ATen/ops/bitwise_xor_meta.h,sha256=hYvN2b4JUdhHc_g6jFU2RRhR_XnjAAMme8F7_ZPpdek,624 +torch/include/ATen/ops/bitwise_xor_meta_dispatch.h,sha256=7-USEQJJdk4qFc-jZEQAoisApIlk7O9s7L6Db5Tau8Y,1054 +torch/include/ATen/ops/bitwise_xor_native.h,sha256=AZMx0BZsPzG-bZ9XN8WkoZPzkHafEDHg-CM6xwQ5eW4,1139 +torch/include/ATen/ops/bitwise_xor_ops.h,sha256=d4n-37PghtUXE5VbG9OKgCpbkwQyPVv_zLX-tGp7DHc,5979 +torch/include/ATen/ops/blackman_window.h,sha256=lWC5gP205VWQujsXQcHz6T8aV5KfoPOGmJF85718SH0,3379 +torch/include/ATen/ops/blackman_window_compositeexplicitautograd_dispatch.h,sha256=vXLhS4MJi6rQtFFcSfzByM3EkRccTZcjdf1fHgVdEeU,1690 +torch/include/ATen/ops/blackman_window_native.h,sha256=pz4CV8Nh9T5lGK9jwYsi1XlZS2o4Zol5sq146xMCkuI,1062 +torch/include/ATen/ops/blackman_window_ops.h,sha256=IiNEYK5mqBlB_UZXGlUg5WrwMzvhlt53zT7KaT1dCso,3917 +torch/include/ATen/ops/block_diag.h,sha256=E1gUutESogZomlWX4me92MRfu8ac9s-4oGhgGGHi5Bc,1076 +torch/include/ATen/ops/block_diag_compositeexplicitautograd_dispatch.h,sha256=-LBKvYSKIsSqmw7cYB_Io13cOf82V2S1pV9EZik8Us4,930 +torch/include/ATen/ops/block_diag_native.h,sha256=UBnUOISd1Avg2JdjbH3uhp0ULVLpji1LFTg-140GzUE,571 +torch/include/ATen/ops/block_diag_ops.h,sha256=l4JLjof1d39O-oUEMySJRmvBSj3TJtQr036qz3U-JIY,1612 +torch/include/ATen/ops/bmm.h,sha256=IjrgXxSCL5piSW2nTWzimkkehyKdsF_Psoj2RmpRP58,1117 +torch/include/ATen/ops/bmm_compositeexplicitautogradnonfunctional_dispatch.h,sha256=lkPn0Te0SbAOYDsmtNCHddxe9ROOx6MJVuXdKj-PxP8,812 +torch/include/ATen/ops/bmm_cpu_dispatch.h,sha256=Tk5v-4kJbuVK7VkvuF8DGjJ7Fx6GncR276JJqANcUdw,943 +torch/include/ATen/ops/bmm_cuda_dispatch.h,sha256=VkOtk3avLtOl0jva4BcubsGfuzJdaNYmYekAUPTPEY8,945 +torch/include/ATen/ops/bmm_meta.h,sha256=iJ3c4HQIOO6JM8qv7ztrBLYj3SrdJaSuuUxavC1sbak,608 +torch/include/ATen/ops/bmm_meta_dispatch.h,sha256=a7XP4cS94lJOIKLhwdGa54UN5gcH5FhLZ7LeLfVGnLU,945 +torch/include/ATen/ops/bmm_native.h,sha256=oqnd5DEPyBdcbPxqVEBgxzAcmTGecTFxk0u3tA7hoTQ,1477 +torch/include/ATen/ops/bmm_ops.h,sha256=saJsW5oNDUmOQUSi9xEWoDdyP0O16MiJEq4WIcdxfRg,1738 +torch/include/ATen/ops/broadcast_tensors.h,sha256=c3hCcZuuhiOzK-nz9gzKxqGB6t1-kutInvVYcPLnwmM,693 +torch/include/ATen/ops/broadcast_tensors_compositeimplicitautograd_dispatch.h,sha256=2EVZOKuLXaOqBtct3I5TPA5NsexwS7BsyNJYEX3Xmq8,789 +torch/include/ATen/ops/broadcast_tensors_native.h,sha256=6HD0eshbLXLkds5znbSBENcxp7ofgBTpvCS_T-BKgnA,512 +torch/include/ATen/ops/broadcast_tensors_ops.h,sha256=ehTAWOiBPdDKtWik0HirwiKJxlgk014HnCsSiqTlKks,1046 +torch/include/ATen/ops/broadcast_to.h,sha256=7c8C6a0_dV2BTkoPyVIFqGaWQZBh_4WlJbIFf9g8QUg,1449 +torch/include/ATen/ops/broadcast_to_compositeimplicitautograd_dispatch.h,sha256=rDQbKsedKW7I22IjBMmS2vBlpXzpyNCnuZDMYBETdIc,885 +torch/include/ATen/ops/broadcast_to_native.h,sha256=lY4b_1WfRzb1Z3O9QDISRyA7_dNm_12z3WOwaWAnUsY,526 +torch/include/ATen/ops/broadcast_to_ops.h,sha256=DsQhBtOk1s23x2qFzyKiFtKCcN57o3zzj49Gvil6_Mk,1079 +torch/include/ATen/ops/bucketize.h,sha256=1eAfCitKSZgRZsYV1XM4mixQWynh8bdoss59L31lfDc,2623 +torch/include/ATen/ops/bucketize_compositeexplicitautograd_dispatch.h,sha256=shWFqfYbLNpHzLp0RpXHq2GZmSdGEaRVWFZUCzhDh4w,1003 +torch/include/ATen/ops/bucketize_cpu_dispatch.h,sha256=EQG2QlwM8JXWINglJO6oNeBStDj7td5AilcSdw6JVmU,1215 +torch/include/ATen/ops/bucketize_cuda_dispatch.h,sha256=F2wgBJDfZGEJpJDliBI-LipB8cHdVYOIdnKwz5ThySs,1217 +torch/include/ATen/ops/bucketize_native.h,sha256=yyse2LQbBfjvXENypQINnXk90ZJed8FbBWE_CtUyFW8,1399 +torch/include/ATen/ops/bucketize_ops.h,sha256=FOYgQ7sprI6Ca_xHOX4G6jkts8Bb4tchvtzS0Cvh_eM,3706 +torch/include/ATen/ops/can_cast.h,sha256=H2vntXRMooq4ZA3Mt7Tkh96L7sZ0U5cA85wZ6ScWams,663 +torch/include/ATen/ops/can_cast_compositeimplicitautograd_dispatch.h,sha256=--_7px36ywnDOhsip0btroMK9sL_yky5zCeWWrg0hzk,775 +torch/include/ATen/ops/can_cast_native.h,sha256=iRDzbPZQ4EcdUa65qRMFNlXDDYCMLb58O-vWPftH7H4,498 +torch/include/ATen/ops/can_cast_ops.h,sha256=oPSmAc5luyXgin6Vqy1CM0CMV9lPOWTFCZG8I1BwL8M,1014 +torch/include/ATen/ops/cartesian_prod.h,sha256=KD15pWOg6YNxgLiZN1JAfI_U1iL_y0wJgYdEndeY2aY,664 +torch/include/ATen/ops/cartesian_prod_compositeimplicitautograd_dispatch.h,sha256=dmymsj4ZqUPsOKgt_d4eaastHOR4f1xiXDui4nLIIlU,771 +torch/include/ATen/ops/cartesian_prod_native.h,sha256=z1p6HCfEISZiu3HmYXv3asVe_9aTV4KVsWLXtbpCuVo,494 +torch/include/ATen/ops/cartesian_prod_ops.h,sha256=LMWJEGAovV_6FIi8jlIrqeV3u3eMU9sdDPb32OKupeE,990 +torch/include/ATen/ops/cat.h,sha256=gKWX3V_peiG7f20XoNKvqRxWM4tH_eyRSzzgfjtfWfA,1793 +torch/include/ATen/ops/cat_compositeexplicitautogradnonfunctional_dispatch.h,sha256=dRkwFq1hCtidrynksryEs8L442Z7RFwxTjywwk0rZUY,813 +torch/include/ATen/ops/cat_compositeimplicitautograd_dispatch.h,sha256=KxjO71AjyTb-EdyPDOUZTFEJp6fKFil6SUoNqWTdMkk,960 +torch/include/ATen/ops/cat_cpu_dispatch.h,sha256=_zpLE9puvNocjc75ELNUuJKbRyyZ0K2dYHFN-ks69P0,944 +torch/include/ATen/ops/cat_cuda_dispatch.h,sha256=9JBIkZv7H-4HETgykO21_GSencT12_zgC2YrBpfU60U,946 +torch/include/ATen/ops/cat_meta.h,sha256=4jgqbU1wzsZOQqq6mATZJCZBVPHdxuHhN2VwoLhBwZ8,4937 +torch/include/ATen/ops/cat_meta_dispatch.h,sha256=vAbAQK7lGBPpvvC7nGZ0XgqqecLedHQ_hkzB6SyWC0g,946 +torch/include/ATen/ops/cat_native.h,sha256=UDyUnarH7KPioQJaGISLfF-jQN3ED4QtWdI08Ekd1Kk,1562 +torch/include/ATen/ops/cat_ops.h,sha256=K7QjsdAt9yaqHsz7JgR5cNkiWmNvI5ztjlJwXmKY3Vk,3025 +torch/include/ATen/ops/cauchy.h,sha256=BOjf0QQ4lREDfoxcvkq3xL51dysUlMxZA2C1k1P_4Xc,1511 +torch/include/ATen/ops/cauchy_compositeexplicitautograd_dispatch.h,sha256=r98akbPet4aCJe3KWomaAEe_TB7OX4H_wXM9rQrLOLY,1162 +torch/include/ATen/ops/cauchy_cpu_dispatch.h,sha256=8hg5SQ-B2BNWSROQUXwdCmKMeCosTxrGI6OJ6zK0-g4,803 +torch/include/ATen/ops/cauchy_cuda_dispatch.h,sha256=_0NEyT9aRzyRzFS2EXcFXbGY_tp7Kydtt2KDQBFWYhs,805 +torch/include/ATen/ops/cauchy_meta_dispatch.h,sha256=u-l4XJe6Hs3kTZbK8iM5dZOFGRCltq6OC3vKdGc_s3Y,805 +torch/include/ATen/ops/cauchy_native.h,sha256=pXsh3NeiipQ9ll5cAax_eOrrXxMXh9XGT7C2q2Zw0hc,857 +torch/include/ATen/ops/cauchy_ops.h,sha256=qlgPG0k5emdgphglzFfwDIt0_MMs6AZgTag-PlfFHzw,2854 +torch/include/ATen/ops/ccol_indices.h,sha256=v4xJ6OO7Fu3a87VNNn3ZxIPaemWm-IUlQqbGc9LKXwE,497 +torch/include/ATen/ops/ccol_indices_compositeexplicitautograd_dispatch.h,sha256=4WGOOfAKe5FzRJgpgbWPk1dpC9mT6flRTo-jlF7Rgks,770 +torch/include/ATen/ops/ccol_indices_copy.h,sha256=tpAE14u2zoDYVmL0_aP4ktnu-S7a-1bDNgdAIT22-PI,1125 +torch/include/ATen/ops/ccol_indices_copy_compositeexplicitautograd_dispatch.h,sha256=bVxleViJAnqMvlb0AnvtmSsAQfECmNGip_Sf87jmMU0,889 +torch/include/ATen/ops/ccol_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=3K7KeH9UnDDQD9xzgR5RCuyDyaRymqeSHQHgfU4Yzds,801 +torch/include/ATen/ops/ccol_indices_copy_native.h,sha256=IrYHdmjBWAKeqk57IoJG1ic70-qtwFPZaJCayoWBPcw,587 +torch/include/ATen/ops/ccol_indices_copy_ops.h,sha256=BweOv85XAZhhyDvMGxLl9eJxdBoL14WGTx1AraF4kJs,1656 +torch/include/ATen/ops/ccol_indices_native.h,sha256=4XvKnlpvgiM0QHxXnPTLhagrtyRcvtQtm1x3VCqCHNI,572 +torch/include/ATen/ops/ccol_indices_ops.h,sha256=TCNpDqKhvU__pRQK-u7ALujYLuz9-C6R2tenD49-qcs,991 +torch/include/ATen/ops/cdist.h,sha256=KCOFnvlYZh2qfeB59EGDwxY4u3mncue3r-CIFbO-ENw,767 +torch/include/ATen/ops/cdist_compositeimplicitautograd_dispatch.h,sha256=M8iNt3shwLITy_LFRNsqBQXCMgS60DLQgZ06wJuRvNc,846 +torch/include/ATen/ops/cdist_native.h,sha256=XojwW14jdnUOaehM7IbfGYjIp9UtEHIajNc7kWHCdvo,569 +torch/include/ATen/ops/cdist_ops.h,sha256=8h3dP9vBlujAivBmLjq4q03lt7K_cxYIqgysMgGjNLA,1196 +torch/include/ATen/ops/ceil.h,sha256=t3chF36-LOfgq2AibS9CYkqgVnRb9vJyaY24A06VKFQ,1131 +torch/include/ATen/ops/ceil_compositeexplicitautogradnonfunctional_dispatch.h,sha256=WP7fIJDR0KTZohmjmePgEXX00sN3cbK4u8hi4PCZM8Q,837 +torch/include/ATen/ops/ceil_cpu_dispatch.h,sha256=7zwcrxZGixOXwT561Voq0rQRziNhnK953PwQRbmsvAk,920 +torch/include/ATen/ops/ceil_cuda_dispatch.h,sha256=Tpk2bpAj3aYJ-gptXs2H-4Avb8GqWK_bZWVQa9-OfkU,922 +torch/include/ATen/ops/ceil_meta.h,sha256=xkveZ8cWVBREa1fuzxg2oDI75uGR1wsL2ozX_S4pJlk,584 +torch/include/ATen/ops/ceil_meta_dispatch.h,sha256=QQfHlzGmC3pWl94y77QsMZP0SgSMC8cqV5tlvtDf-5E,922 +torch/include/ATen/ops/ceil_native.h,sha256=wg1LkQCIrESsqa_1vCdJmbgVmX6k7kqc3yeJq59zhcs,1009 +torch/include/ATen/ops/ceil_ops.h,sha256=fo4Onq-4ct-r5yZXyTLSXFbmYj4OGmoA-ydeqMlB8r8,2104 +torch/include/ATen/ops/celu.h,sha256=KkbzXvMULCcREIML6gTYpJBfkjHEtQ1rv5t7W0SkQrc,1347 +torch/include/ATen/ops/celu_compositeexplicitautograd_dispatch.h,sha256=d9sUBHZ9CwUxLUt7_FTphTtbiVqNbgB1DCAFPblSESM,1080 +torch/include/ATen/ops/celu_native.h,sha256=3dl-xBxzwybt5rdAC_KiG1ZMUAeVAH89bYxNHST__5E,696 +torch/include/ATen/ops/celu_ops.h,sha256=80eihAqTJDKPDQoTReOXXZSTRqOQIfX1V6daxFSC42U,2374 +torch/include/ATen/ops/chain_matmul.h,sha256=lFspfx_iqWBxA1fq-13w9JJ-gVSAg1FHdX53Y2gp8G8,1105 +torch/include/ATen/ops/chain_matmul_compositeimplicitautograd_dispatch.h,sha256=tXk-x1GHWlZ5qbO2J5K-nr7IReloIamp6TqcWRt3DU4,939 +torch/include/ATen/ops/chain_matmul_native.h,sha256=8ItxEld4IFZhiJ0xhuyULm4o2y0ckRBt4UIvCsGJeZw,577 +torch/include/ATen/ops/chain_matmul_ops.h,sha256=xlp6Mt5OVgW8NnOly4enx93pLjomTP5hSp2m1rKw1ts,1630 +torch/include/ATen/ops/chalf.h,sha256=kcpcRrk_J49-k4q9yOYBQ4DNOK0Y2-ErCUMip3oR650,490 +torch/include/ATen/ops/chalf_compositeimplicitautograd_dispatch.h,sha256=l1LkqLeNO--gbrhYuvbR1-aRNnz0X9EDj3ts_b5wX4o,823 +torch/include/ATen/ops/chalf_native.h,sha256=bJwO-XLaNqdfi-4ExiC09mhwY8e8PRWcfuz1o4kuTdQ,546 +torch/include/ATen/ops/chalf_ops.h,sha256=aUzv8xNcpmQQWs9m5SrzdvYULyRBMKGI0EpufbMFXsw,1128 +torch/include/ATen/ops/channel_shuffle.h,sha256=1WImMnCK17UscQEaBg6p7EdBE30q1opxFCjvmhKsurE,3584 +torch/include/ATen/ops/channel_shuffle_compositeexplicitautograd_dispatch.h,sha256=xFU9dYhNLYPJpMfKn_q4cGbvRc5Vk1fyTysp6NINZQI,1146 +torch/include/ATen/ops/channel_shuffle_cpu_dispatch.h,sha256=QK4ePyg72Ho8o65p_egeK-ujnrdXE6obVJruRUgfAAQ,835 +torch/include/ATen/ops/channel_shuffle_cuda_dispatch.h,sha256=UgzPWdfgg7OGtmaGlgejv9Nl7gNTBh20AvJeY_ZuJS0,837 +torch/include/ATen/ops/channel_shuffle_native.h,sha256=LBp3yC5I2TpXhCmt00Sglul3nvN482KBTYvy6kdGp_w,719 +torch/include/ATen/ops/channel_shuffle_ops.h,sha256=rDZpX0e1ZUfoP4sGac703LAyVs0c_zgr382GH_qNhmA,1780 +torch/include/ATen/ops/cholesky.h,sha256=fubKEihGyoIoVczIUsXnL3Ps0zNFXURH9Po33PSt244,1158 +torch/include/ATen/ops/cholesky_cpu_dispatch.h,sha256=D58RdBAXHqkk2keK-Dxh3TnwKkOsAE8AJvhg4Fbs6WU,931 +torch/include/ATen/ops/cholesky_cuda_dispatch.h,sha256=tgs2VPSBRRpUsnTj-vm-RmrCWgh1ckRu-K5WDSMzHIE,933 +torch/include/ATen/ops/cholesky_inverse.h,sha256=_6erhe50xzrUWCsLuCmtxEyiWbpPofPU390gmkuoNpI,1238 +torch/include/ATen/ops/cholesky_inverse_cpu_dispatch.h,sha256=DRZm5bNPDnMmwGXtdtRc7Hu7Sk3G9whru8UVL-GUN3U,955 +torch/include/ATen/ops/cholesky_inverse_cuda_dispatch.h,sha256=yuJ_hQntkLoX8PGe4sMY7IVf_vhR5lu-YnAh5KRZCYc,957 +torch/include/ATen/ops/cholesky_inverse_native.h,sha256=96rTnzp7WQtUt0oaZV_AD7unT3Ode6QjNHaJLfTv1i0,615 +torch/include/ATen/ops/cholesky_inverse_ops.h,sha256=lag6qy1nLq6TIwAEYdpxyoyL3VvurLM2-Os9N4goUp4,1746 +torch/include/ATen/ops/cholesky_native.h,sha256=oMIU38xLlOqUt7whxBSyyWAiU67lB-V65RGnIeulPBA,599 +torch/include/ATen/ops/cholesky_ops.h,sha256=opgK2hCt2HAVPeEgGnPdhFgpz4JDkQiC8usdwZVapOc,1698 +torch/include/ATen/ops/cholesky_solve.h,sha256=zt8rIFTIwyQW-2LkQq7CgyNV7_3-98VL1R6UORMJUvc,1368 +torch/include/ATen/ops/cholesky_solve_compositeexplicitautograd_dispatch.h,sha256=7LP8DVCZhUR-9GC-shuwTxYYkZlm42sa5qXbAxHK1V0,1074 +torch/include/ATen/ops/cholesky_solve_native.h,sha256=oXc4gW7ulSUgnX94kYsGoseQrRxEo5lmm59F_-pOxqo,665 +torch/include/ATen/ops/cholesky_solve_ops.h,sha256=YyaVFFLYcMr5QjW7_me7ZvuDHDHZ_jsWUVfl82ao_00,1912 +torch/include/ATen/ops/choose_qparams_optimized.h,sha256=7vNXB6Nij2JCBi5Pnki-hs0rrKEf2QHGifIlxwwfJ08,883 +torch/include/ATen/ops/choose_qparams_optimized_compositeimplicitautograd_dispatch.h,sha256=RE1in_qBLmU9q-dyCaPFiEziALzkifJw1kLDiYL3t2c,872 +torch/include/ATen/ops/choose_qparams_optimized_native.h,sha256=_789iok4WpKgLUAxcl-Dtyh12NTGzX4dXRi9B2hUJyA,595 +torch/include/ATen/ops/choose_qparams_optimized_ops.h,sha256=7PU9tBu6mXzWLinsmsmfuYETXClz4xBkkJVzZPAggzA,1323 +torch/include/ATen/ops/chunk.h,sha256=o-4impzEtgQJxKIcC41St_mGy4TCJA2TNkCn8TdA6G4,716 +torch/include/ATen/ops/chunk_compositeimplicitautograd_dispatch.h,sha256=Z9whs8-l3niDCyIflFS2476ld4SW4YEQK-EeS8fkay0,809 +torch/include/ATen/ops/chunk_native.h,sha256=Y2jyIWNv-4nFeF8hjxDiMMyoez3QNBOns2fvPQ3NFXU,645 +torch/include/ATen/ops/chunk_ops.h,sha256=-zUEHdV-jnUmwRKMjN75kirjxbVZT9ZXqu4EZ8pRVAY,1121 +torch/include/ATen/ops/clamp.h,sha256=fpg43QWF8ii8BdywaCYyJRkyTwLnW-Lmuh3BD-907rg,2904 +torch/include/ATen/ops/clamp_compositeexplicitautogradnonfunctional_dispatch.h,sha256=RoOVevnR27t2Px2ctZxT54hvW72V0UZi-mf1Lr4-Syw,1292 +torch/include/ATen/ops/clamp_cpu_dispatch.h,sha256=M-QSs2SxRFhYwGVMJXFS2KTWggUyKILLS3s_sC2_pJ4,1863 +torch/include/ATen/ops/clamp_cuda_dispatch.h,sha256=-kJdwG2zOc9IUOCAcfyDvHaAl9qQAsq2VnLtSJOUD-A,1865 +torch/include/ATen/ops/clamp_max.h,sha256=c25L3Z4GlsH_COxI4TMqBIFzpO2J4GjFjz6ksrq-BiY,2283 +torch/include/ATen/ops/clamp_max_compositeexplicitautogradnonfunctional_dispatch.h,sha256=W91EUPZhWIMWT_xkkeQz25f3Ye4BQ9YLX_7O7uxRWdE,1054 +torch/include/ATen/ops/clamp_max_cpu_dispatch.h,sha256=LDogH0WJh2EAWV4_ijIKirYlA6i87B_kdayAq3r46U0,1406 +torch/include/ATen/ops/clamp_max_cuda_dispatch.h,sha256=kXt-RgfBhjjof4v2D0k5iUYVwz-o3qyAKwPSbMeMR6o,1408 +torch/include/ATen/ops/clamp_max_meta.h,sha256=Ow1GmT0gXXZ-WSqtoY2q_mvt4QzUmzc8hx3vAfyR-RA,765 +torch/include/ATen/ops/clamp_max_meta_dispatch.h,sha256=w4HHJ5S7uHbWPiIbjWK1BNXcbCzTc1IM7MgnEx3anQY,1408 +torch/include/ATen/ops/clamp_max_native.h,sha256=eIkt_fe8dT9tBxXFUqf5BEm6HZiRbZKrxX6tcbXXoyg,825 +torch/include/ATen/ops/clamp_max_ops.h,sha256=-cc3F-ePLnza9KgJZNKK16yhpOuD4sK7sFu8HsXmLiE,4405 +torch/include/ATen/ops/clamp_meta.h,sha256=TUlbseYVkboL2QNy62_3Tv9QxR1QjuOfyoLQ2lfsHVA,817 +torch/include/ATen/ops/clamp_meta_dispatch.h,sha256=mWPAcATDIgaeyTi3JN21Qbc7BKaX2ajbpo4L0J8CjSg,1865 +torch/include/ATen/ops/clamp_min.h,sha256=n9BbMwJrua4RRy6Un-UEIjO2_kw9TcgwkLBTyzaJ6qU,2283 +torch/include/ATen/ops/clamp_min_compositeexplicitautogradnonfunctional_dispatch.h,sha256=VcAAaMT34NKMJrYZba60ovpPs6FqlyP2C9-notPuqXE,1054 +torch/include/ATen/ops/clamp_min_cpu_dispatch.h,sha256=pWeh2HkMexdrYj8juQmQlpidc-J2dkkaehdcNc7jZVE,1406 +torch/include/ATen/ops/clamp_min_cuda_dispatch.h,sha256=2GQ470IpvGVcnQBastPbzBNsxa-wRs8nMdIbUK4tpF8,1408 +torch/include/ATen/ops/clamp_min_meta.h,sha256=I7sZCDZNcCOVI-XPXCHK1mV4Kw_o8AF1ge94vvoBO1s,765 +torch/include/ATen/ops/clamp_min_meta_dispatch.h,sha256=rjEqR4kNym9Nt7gI8nKdXNPbZRRdPhpHFL1gJJmj048,1408 +torch/include/ATen/ops/clamp_min_native.h,sha256=NsMPM43wjWmapG6WdXIIIWeUByo8QgNePj3ReKj6umE,825 +torch/include/ATen/ops/clamp_min_ops.h,sha256=Xyq3iXsYp1IfPLvWKTr_vezfHQQsYdQtpzrUJVgprhE,4405 +torch/include/ATen/ops/clamp_native.h,sha256=2nizzIMojQH2VYj-grWUboLfaONbLfEsPlYPkbArT_g,1036 +torch/include/ATen/ops/clamp_ops.h,sha256=EhoQR0jjxP3cuL2bpGT7MuagUg_iWjZnQD0S8Mfj-Tk,5425 +torch/include/ATen/ops/clip.h,sha256=FiGsY_fzcId-D1e_Cd3V5flfDSzJgOmHE_5ayvubPNo,2879 +torch/include/ATen/ops/clip_compositeimplicitautograd_dispatch.h,sha256=nyGBffmrABwG4rTxvRAI9AqHhj_eeDPS-hq4F7X1bU0,1899 +torch/include/ATen/ops/clip_native.h,sha256=zrpEq7r5bQm3YBLtkxcbfIDwYDBTYP8IL5sElWGrbY4,1319 +torch/include/ATen/ops/clip_ops.h,sha256=SbS9C5tgMdBBI3JKzWcp8rJpoMi6J9Z6AJrMnwdegJU,5407 +torch/include/ATen/ops/clone.h,sha256=eON04UiITPZHWkntRiYZDBpsJvrnQ88ng6pxgMcsXpA,1322 +torch/include/ATen/ops/clone_compositeexplicitautograd_dispatch.h,sha256=x-W9EWrMIuxTY5xrl4YEXbZ7fWBr3d2zElhVdc4Mu7s,1085 +torch/include/ATen/ops/clone_native.h,sha256=ObYwMwtf1f_iL5Jb-vqbQMlQTZ1jA0RLiDKADLzTn2M,1284 +torch/include/ATen/ops/clone_ops.h,sha256=Brg7izWGZI3BrRNsDtJTAYg8x-fX8DsyhpgUFqFbMFc,1909 +torch/include/ATen/ops/coalesce.h,sha256=rmUKD0Hzfnk_oeyI6W-hnSGb5byS7qmZbSLrgxrwmYg,493 +torch/include/ATen/ops/coalesce_compositeimplicitautograd_dispatch.h,sha256=nFzB-bQ0N0MOJHUFrhpowltb0DP2uxWppm6if3mWlck,766 +torch/include/ATen/ops/coalesce_native.h,sha256=gYgKk2GEC0h0le-CJOK7OTUh1hOc3bx6ik8ylSd4YqU,489 +torch/include/ATen/ops/coalesce_ops.h,sha256=KmwTa2FF-PbDFY3MNLGUQ-FqKzHiEsITfSUQScQd59Y,979 +torch/include/ATen/ops/col2im.h,sha256=naww8VjZeBwcPBZJrw3QSp4ER9UWwJbXnjS_xQk-HjQ,5861 +torch/include/ATen/ops/col2im_cpu_dispatch.h,sha256=0p1Ni6Xvk1tICZ9Lfl_dX-BDlnbvlZBhu9wCIJ3JQSA,1919 +torch/include/ATen/ops/col2im_cuda_dispatch.h,sha256=cjoEDOZBzvgv4GDYNhFPR6RMuI-YnA7eAnRfJz93V7g,1921 +torch/include/ATen/ops/col2im_native.h,sha256=r-nW_Ia3iFIltYUSsPaY7R7-ARS0dJwP0kfs2BLGHoI,1247 +torch/include/ATen/ops/col2im_ops.h,sha256=MGUGJTvKYzo3RgnjykO5TOY_op0fsDui5pHqkrJZVPc,2498 +torch/include/ATen/ops/col_indices.h,sha256=Q4eoCQVEKpnrlbqiQZ1yPAZu7MnNQgEqoAwkXd2T060,496 +torch/include/ATen/ops/col_indices_compositeexplicitautograd_dispatch.h,sha256=GcY7_tnCy0qrhoDP335cbHGm240I6UcwcrCd1n5-5KY,769 +torch/include/ATen/ops/col_indices_copy.h,sha256=YGPf4yQvJa0dSJM4yUzo-eJ4jR_Ygqacm4hryqrQcyM,1115 +torch/include/ATen/ops/col_indices_copy_compositeexplicitautograd_dispatch.h,sha256=U65MR5erMxTs_pIluZKSFHpvZ6hHgcalC-vI-xYgng4,887 +torch/include/ATen/ops/col_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=Xf1aREZaOYqUgVxd2-Qn1IjPYv8L18LmGzKFlh9HHGA,800 +torch/include/ATen/ops/col_indices_copy_native.h,sha256=Fa4-6NL_HH2EyrxjM7uT4KG7jQ9RjGQqxYAZah8tqIg,585 +torch/include/ATen/ops/col_indices_copy_ops.h,sha256=7JmMq4iMovPyKKrbcgIef2lFbpycg7fcO7lkkpvY66c,1650 +torch/include/ATen/ops/col_indices_native.h,sha256=xLFS2nZqwmr4R7TObfWfSolaxegp4FRz3U_DdyjDKpQ,570 +torch/include/ATen/ops/col_indices_ops.h,sha256=pM9TZIz9_V5gGXDwTp_3AztwISpmNECJDCOpIvf2huo,988 +torch/include/ATen/ops/column_stack.h,sha256=Ug2ikY87OSfewXxYx-gjHIrjKyJiEeHyjioyDDDUkDQ,1096 +torch/include/ATen/ops/column_stack_compositeimplicitautograd_dispatch.h,sha256=JXWKV1zOf0K0vJJILsp3bdowyzsxkdk1PIAlTL3OIDg,936 +torch/include/ATen/ops/column_stack_native.h,sha256=aIUmsUhSHnGmxtyg1vCfTgqLHGTh9jhXEe1Jq5hHywU,575 +torch/include/ATen/ops/column_stack_ops.h,sha256=kAJY-cQHtEzNluwP0MOlzmKm7gArdC6HUJJgUn2SRfU,1624 +torch/include/ATen/ops/combinations.h,sha256=NWScgM2SxlGfChTxm0Za6xCVC4D1_z8Z0Gys7u3neAo,750 +torch/include/ATen/ops/combinations_compositeimplicitautograd_dispatch.h,sha256=HINIJGIdGdJCnEIXLIEMdqOz8Pb_sUL09bhrFsb2bRs,812 +torch/include/ATen/ops/combinations_native.h,sha256=yvhvDZ8A5gmnLJsUIDnT6zXICjNSH2l6Kta3unyR_vM,535 +torch/include/ATen/ops/combinations_ops.h,sha256=Ou4OncrZaNXCWCyQ-t1SaiWWCDk_boERF3wFyDJc-6o,1106 +torch/include/ATen/ops/complex.h,sha256=J7c_P-xGmmBMHkhbfct66sllaFMJm3DNeF5uaer1KZ4,1157 +torch/include/ATen/ops/complex_compositeexplicitautograd_dispatch.h,sha256=FjsHHUPn2jQRIC77XSuQZZzklU-WCHpEexVYM9HJTq4,790 +torch/include/ATen/ops/complex_cpu_dispatch.h,sha256=-nU9jv1fw1XsrEK7JVNMMsor3ntzNGYO23zDDHgDE6Y,875 +torch/include/ATen/ops/complex_cuda_dispatch.h,sha256=BEbeYfSJrsq0qQcRdwz-Os_fCU_pumWVfLI-QDpL_Wk,877 +torch/include/ATen/ops/complex_native.h,sha256=kXCL1jZYfEjcfUzO9397u_jJJmi-PR6ZCwyqi4xgS2k,617 +torch/include/ATen/ops/complex_ops.h,sha256=j0j87eF3wJAjHTx_IZ23Y1MP54ep2LgsVH5vUk0hw_M,1762 +torch/include/ATen/ops/concat.h,sha256=1ble04qzcL-7i0NKpAUL69a9JNFNSMsJiSHg4jUObZQ,1814 +torch/include/ATen/ops/concat_compositeimplicitautograd_dispatch.h,sha256=XSGUZa5yG4c8FnA7utPF5aMBFpNPzrF-P7nhoxxeuFc,1220 +torch/include/ATen/ops/concat_native.h,sha256=-ikaio4EV5c-x1duOhas56qRAwY__aSuHHEXMgVXfCs,755 +torch/include/ATen/ops/concat_ops.h,sha256=XIapH3VbCTpWyyQHO0U0LaNVWze9R4BfcQOtiPsLmA4,2989 +torch/include/ATen/ops/concatenate.h,sha256=NykVcQeJGb9ddGrWBeL1BB1ZAW5tPismlxpYgqrhn2s,1909 +torch/include/ATen/ops/concatenate_compositeimplicitautograd_dispatch.h,sha256=T6BBiY0g95HyKHsqrTldtdhEI99tUt2y6Zhwh6Km7-o,1250 +torch/include/ATen/ops/concatenate_native.h,sha256=R-kYRvjMAUIsZZi8FKIMia8IUkA_7gGoRRaXXlG7KfI,775 +torch/include/ATen/ops/concatenate_ops.h,sha256=--8eAcukqtnJ8lJRZQUacnmRllTsMYiGjEfbX1psUbk,3049 +torch/include/ATen/ops/conj.h,sha256=Yrr4wM8OXxYbJx2O7ZxTwmTo088c1z_so8sA5Dld57c,634 +torch/include/ATen/ops/conj_compositeimplicitautograd_dispatch.h,sha256=gG4OYaWXqTf9ozYuc1YoSj3ATrwz3RKKf9yw6asFJoA,762 +torch/include/ATen/ops/conj_native.h,sha256=ccV3L79a5_371E4JJ3snb51Kje7zBqp9JbCffoqb9YQ,485 +torch/include/ATen/ops/conj_ops.h,sha256=6nSy_L-Sru9NrhANH_IMgM5NOkC6CDh0qh78WGtMmFU,967 +torch/include/ATen/ops/conj_physical.h,sha256=gSuryA8uTRUlyq3Eom4Zk84f797FbAXEQYoSlksjaeE,1248 +torch/include/ATen/ops/conj_physical_compositeexplicitautograd_dispatch.h,sha256=on5qUc9_taEPD9Krkd4JsZdCoXvZUMQjsyUQvJO2J_o,768 +torch/include/ATen/ops/conj_physical_compositeimplicitautograd_dispatch.h,sha256=VmeGaNahiSzBJT4RTXMB8BDqQLvOZcjWe_xRimIPP2I,771 +torch/include/ATen/ops/conj_physical_cpu_dispatch.h,sha256=7iNhZm--iZqCsPzG4GWqc9BOPh7maSzZ9hxNtCkJxPQ,837 +torch/include/ATen/ops/conj_physical_cuda_dispatch.h,sha256=GjNPY76piL4f1icyPg4h3C95b9pnFthC2EyXFooNxZI,839 +torch/include/ATen/ops/conj_physical_native.h,sha256=_xoj0umfvOG8PfAD3csYeAmjCbH_m49cj07AcjFpEn8,894 +torch/include/ATen/ops/conj_physical_ops.h,sha256=WtTpCmlW3A5vN42JNmIIpilyBOIlcuEEUJycskWgpCc,2185 +torch/include/ATen/ops/constant_pad_nd.h,sha256=KbAcEQDMiKu1mhoQFDi4wJGiiV9yDQ07KbShKKv8vVE,4266 +torch/include/ATen/ops/constant_pad_nd_compositeexplicitautograd_dispatch.h,sha256=ATkctSPAvOi9sYa5tHfr3rsOl7CMokuNOQvLfF3HsKE,1509 +torch/include/ATen/ops/constant_pad_nd_native.h,sha256=NvSlsKrNttQlLeEbri2nkALLePyvofQOXQh-mslr7es,690 +torch/include/ATen/ops/constant_pad_nd_ops.h,sha256=9bVRY9N3p_R5nh4deSiDVIfIygGIJ6ZohcFLgb7nbOc,1990 +torch/include/ATen/ops/contiguous.h,sha256=Ebaxi1AV2oouz9br36sKlH6bn81Kajve-mLTWyJErDs,495 +torch/include/ATen/ops/contiguous_compositeimplicitautograd_dispatch.h,sha256=oL4NPlaZqvXX13dtjOU5l3VddJ5WjnAkua_r-YYjodg,825 +torch/include/ATen/ops/contiguous_native.h,sha256=phoJmN4A4-gxMTT786BMd7Br8ytBLaUXIbahkvODsZg,548 +torch/include/ATen/ops/contiguous_ops.h,sha256=v77OBaWMddf3c_raOwYYFb3nVa4EC-FBeNADmk24wqU,1116 +torch/include/ATen/ops/conv1d.h,sha256=2u_joBCNbLVuPpBG1CUhmOhYQ0WkGpAVsTgfr7uzit0,4512 +torch/include/ATen/ops/conv1d_compositeimplicitautograd_dispatch.h,sha256=uo_-SOSkjSlyovEwXMFcxkuhYmK4yCt_3yn8V43ktOE,1688 +torch/include/ATen/ops/conv1d_native.h,sha256=UBc5gI0perapMRxlpcAO_6FgKTAk4pWFRsuAs8iR6jU,1003 +torch/include/ATen/ops/conv1d_ops.h,sha256=ue-6E3r_xTsMiC2DpEmBgvyJpKw5gdU9OqKboZ7qwm0,2708 +torch/include/ATen/ops/conv2d.h,sha256=LFUS1AZjZE39eEoQlshz5pUPAMJ5MA1qbIAb7rqA5NU,4512 +torch/include/ATen/ops/conv2d_compositeimplicitautograd_dispatch.h,sha256=IseZ6TmNapUT2Y6KaVoFmQx8EYxja8vhG-amSCgoFyk,1688 +torch/include/ATen/ops/conv2d_native.h,sha256=t0DBzDxJMvKT_TynVAZ3ybXHKDNitBx4j4J4tqTzBmo,1003 +torch/include/ATen/ops/conv2d_ops.h,sha256=9LOwHOU5hILF1cwzLphkIsF0CD130TDydNG6f1wo74g,2708 +torch/include/ATen/ops/conv3d.h,sha256=5HVSsZuI6nkQbTb8d7jXsBXwV5zNhlWhP3bzMP8wfRU,4512 +torch/include/ATen/ops/conv3d_compositeimplicitautograd_dispatch.h,sha256=McCHFNs2Q5IW5RMNHjq_wVImhOEeVq13A9JVrmg6f98,1688 +torch/include/ATen/ops/conv3d_native.h,sha256=M0jNXcw8V3kOg50wCeqG4XM1pAEijchmaxuwzTZy1RE,1003 +torch/include/ATen/ops/conv3d_ops.h,sha256=2RpP5Wm76kLfsZ3XsA57xXqICQo7U2hajQK1wvCjCw8,2708 +torch/include/ATen/ops/conv_depthwise3d.h,sha256=qCIKmH_yfDSplPaPrha0mBNgirtJW1woxE1B8B5mzxo,7287 +torch/include/ATen/ops/conv_depthwise3d_compositeexplicitautograd_dispatch.h,sha256=AwmvXmaSmHDNIBdgVCGND7otPyPErzJVeNHC0tKoFe4,1794 +torch/include/ATen/ops/conv_depthwise3d_cuda_dispatch.h,sha256=OVPvo6eQx6OJixcytFObD-qJo0KfDJowv33_ymCx-BM,1161 +torch/include/ATen/ops/conv_depthwise3d_native.h,sha256=aPs8S2rnzxO2pKPETXcqNB06IgZ9D8Y4ZVeVJFBNNEA,955 +torch/include/ATen/ops/conv_depthwise3d_ops.h,sha256=ShkUVCydbjAqe9bP7B08FMZL4mN7-aN9GisiMlgagqk,2894 +torch/include/ATen/ops/conv_tbc.h,sha256=XH8pn-sN3aIVhrJaaw5QcUdL91Zjjz4VvjUzpNJ1Prs,1408 +torch/include/ATen/ops/conv_tbc_backward.h,sha256=cD1Qi9gE6JiZ8vF1ekkunJDCYT8BXn1aRvTCbY6wvls,891 +torch/include/ATen/ops/conv_tbc_backward_compositeimplicitautograd_dispatch.h,sha256=6GxVEHNMyW6tottxNnWkUrZxE53IhThRBjiQLDvzbzw,902 +torch/include/ATen/ops/conv_tbc_backward_native.h,sha256=mDAH-TNpRqXEx8KePuViWFPEB_eZkpemKFzLvfN5t-Q,625 +torch/include/ATen/ops/conv_tbc_backward_ops.h,sha256=JL1k2YE_y183lmlttbhSHMxedpGdo0dRyDy4qfkl3O4,1428 +torch/include/ATen/ops/conv_tbc_compositeexplicitautograd_dispatch.h,sha256=hprKU4WmQ-Xao_LP1nzdSbQ31KxB2cBTP4mZeT9DTz0,1126 +torch/include/ATen/ops/conv_tbc_native.h,sha256=lx_eTHVYbgqrZWadlChFPB5xbQdRDnrg8EKP1yefhnQ,701 +torch/include/ATen/ops/conv_tbc_ops.h,sha256=wezqCTeMACjDX_li8DUzM29swjUWnHQ8d7A6XkkehRw,2038 +torch/include/ATen/ops/conv_transpose1d.h,sha256=QeQkZraGvTc5g4tv1QPsHVFMk7vN7yO2sbToaf6GNp4,2997 +torch/include/ATen/ops/conv_transpose1d_compositeimplicitautograd_dispatch.h,sha256=2Y41khW1U0M8PFt3IHXwlflkWDDi1_At41v-GtSyu3g,1325 +torch/include/ATen/ops/conv_transpose1d_native.h,sha256=Zy6uQtTTBSn09XFqCcNBVcFB3xHUMMacZ9iOfcNMMp8,780 +torch/include/ATen/ops/conv_transpose1d_ops.h,sha256=A9oQtWHGnJAt1rOkJnVyaAR4OsyW80JiR6XOZG_m8Lo,1714 +torch/include/ATen/ops/conv_transpose2d.h,sha256=2uWbeXSC95gUsYBnq8yWUBgrO1mNsT9_iy3RCjZiq5g,3033 +torch/include/ATen/ops/conv_transpose2d_compositeimplicitautograd_dispatch.h,sha256=AHb6IxvbzwObA2MMNshgABNqyMzz5BqmCAuei7uZPgs,1325 +torch/include/ATen/ops/conv_transpose2d_native.h,sha256=CZ1ngu7oZ7FtdobdU4zRp2chGgdqZy3rSxXCwJe6-lc,780 +torch/include/ATen/ops/conv_transpose2d_ops.h,sha256=Y0UchChY4ymH4CgnNhnKuBPwR_1wYqc516Pq1mq8R0g,1731 +torch/include/ATen/ops/conv_transpose3d.h,sha256=AZ7kgW58Rx9Nb3YjFRkzajXKaKtbhEhWHLcx8OEmD8g,3033 +torch/include/ATen/ops/conv_transpose3d_compositeimplicitautograd_dispatch.h,sha256=xVzoO0xx8yN-OmYfTlnaMi389wng3U6wzu-DN9gXntA,1325 +torch/include/ATen/ops/conv_transpose3d_native.h,sha256=d4dY7w0-LWDlxgNfBnuKLvomY0An7dv8esHJwDIUghs,780 +torch/include/ATen/ops/conv_transpose3d_ops.h,sha256=h7ejH_O3zKW5_cg9frHvXpLJXH85w6uLFSEFZNPYbMo,1731 +torch/include/ATen/ops/convolution.h,sha256=5fLQQhYkr4MtfzzJTFfPBy13dwAqPbebJdXMmdi2eYM,8080 +torch/include/ATen/ops/convolution_backward.h,sha256=FqJA3xWgWcziQAVbtkGyFxUHqi1XMkrEoxbaFAq3x5Q,11481 +torch/include/ATen/ops/convolution_backward_compositeexplicitautograd_dispatch.h,sha256=-0UXHz1KzXh-H7Pe8e1f0vGLIKTqoqwQa-JcCu_xCVM,3314 +torch/include/ATen/ops/convolution_backward_cuda_dispatch.h,sha256=aLZEMnvCvqGljYhKD5L2LJGjzm4sCcISEKCoiOhz_1Y,1446 +torch/include/ATen/ops/convolution_backward_native.h,sha256=T7MAG_5pX6Ylwfn3KORtm2eqZwbrp83xkAjT_3ts7To,1278 +torch/include/ATen/ops/convolution_backward_ops.h,sha256=oYjQRexK2qvLA_1gOH1JOkxurpOIS4K-H_wva2RuFJY,4025 +torch/include/ATen/ops/convolution_backward_overrideable.h,sha256=JJx517KQA2NVlOZ6Dc3CyPQ3GDl3zFsdbe4z1JgxasQ,10702 +torch/include/ATen/ops/convolution_backward_overrideable_compositeexplicitautograd_dispatch.h,sha256=GWt8g0mT9y6Tq9Gusu0jhNFOAZ6WinapWWHLnYctkNg,3167 +torch/include/ATen/ops/convolution_backward_overrideable_native.h,sha256=WNQ6Yx5X3_QYxUb1krRy6eK6kwKsW-qUzBpZyuUZqm0,1229 +torch/include/ATen/ops/convolution_backward_overrideable_ops.h,sha256=ikYeQaFezwrsDwQB8NyllHzzhyy98cj4YVS1Tn-wCDk,3880 +torch/include/ATen/ops/convolution_compositeexplicitautograd_dispatch.h,sha256=TEcGN7hn56pzSgJiOLNP_E1-F1CwUqrJFsS88tDAkUQ,2491 +torch/include/ATen/ops/convolution_native.h,sha256=KpCRd3-0yHTpayMZ6fdt5MDneKHnd2wXderZBiAZHw8,1018 +torch/include/ATen/ops/convolution_ops.h,sha256=AyUdn0_Isa62CbCHqwCY7hGStueQtzEAQHpxf1ilRQY,3130 +torch/include/ATen/ops/convolution_overrideable.h,sha256=xIgRNNMg5SRfejjMAnCud6OTp1ZRCtsQOxyi1Ocx3qc,8483 +torch/include/ATen/ops/convolution_overrideable_compositeexplicitautograd_dispatch.h,sha256=CpkyBeec5nBwJ4i-GOXrJCDRMw3IP9tHjg7Bl52svwk,2569 +torch/include/ATen/ops/convolution_overrideable_native.h,sha256=UPa7oK8LzN4y4yoCDGZ8Q0Txck1M6DhRb1SaQfFJjDE,1044 +torch/include/ATen/ops/convolution_overrideable_ops.h,sha256=LqtgLK3o4JSErGHoyBMzPlMYKMkc_i5P_e-PKQjct_c,3208 +torch/include/ATen/ops/copy.h,sha256=9Y460pVP3fYuz9uEhh4LzWTkBGk6ghTMZO1wSvA1IW0,1304 +torch/include/ATen/ops/copy_compositeexplicitautograd_dispatch.h,sha256=VDFyaba0I6QR8Yg9StZHBY4CgstzvxVeyQPfsxTCdUE,1053 +torch/include/ATen/ops/copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=pRa4Ov8t7RUzBl7h3WOwkTPHPjcesg51lwjazDCtCAQ,837 +torch/include/ATen/ops/copy_native.h,sha256=eP9E5RwmvTbL3bKfsX0OCB5y5b7JEp8WKlCLvRDMtWc,1190 +torch/include/ATen/ops/copy_ops.h,sha256=imBnwomr5Br576Vh5eyrS2GK9W0YLA73f8MsoDgLtLY,2551 +torch/include/ATen/ops/copy_sparse_to_sparse.h,sha256=FvSaxqLHFSFgwjd7XN4QGsPfpagx20y4QL5WqKLnZ1A,1766 +torch/include/ATen/ops/copy_sparse_to_sparse_compositeexplicitautograd_dispatch.h,sha256=IEEjBlmvKAh1ItZgSsA0H0UPNjEQXT_VZAj6-YkPWPM,1107 +torch/include/ATen/ops/copy_sparse_to_sparse_meta_dispatch.h,sha256=vhi9mRGJHF2CPBPW9LjmsDnH08quPjkZa-8pPp5oxNk,783 +torch/include/ATen/ops/copy_sparse_to_sparse_native.h,sha256=A7UuhoYSo5nRqlwNFyUm7sygctG0l6pvCKYOK4r5ct0,792 +torch/include/ATen/ops/copy_sparse_to_sparse_ops.h,sha256=JiUMVpriD2t5THYB4Y9KkEBo2AKT_kTy_4BdAdOQxtk,2704 +torch/include/ATen/ops/copysign.h,sha256=V7T8Hjo5E2W6g3IUKgc3-qMbNdkjD86WRZt-khqALjI,1916 +torch/include/ATen/ops/copysign_compositeexplicitautograd_dispatch.h,sha256=Y1mTBzgiIs3DB2TkEd3whbVatSUTnomrFtMPxAz3SR4,1084 +torch/include/ATen/ops/copysign_compositeexplicitautogradnonfunctional_dispatch.h,sha256=sO_Fu4Yucd8CXmcJJ-wm-t8WZwdjEG57WOYQ4FCITYo,897 +torch/include/ATen/ops/copysign_cpu_dispatch.h,sha256=h9zyuXG5gbYPpYL8XcLK-CrNXwcU0V0R_SOi1RIyl0c,1040 +torch/include/ATen/ops/copysign_cuda_dispatch.h,sha256=JdAHfnBrhDrHvXiwfJdx39rBw9qdTl3owMh6E7S5Lis,1042 +torch/include/ATen/ops/copysign_meta.h,sha256=gFvSpx81Nkvn2TIiCdGhsIfIjGGmRQIWnxVDmV-PsqU,621 +torch/include/ATen/ops/copysign_meta_dispatch.h,sha256=nVtC1rX3wIQtjbiUUQfJqnK5w03tHevfth62SoItA34,1042 +torch/include/ATen/ops/copysign_native.h,sha256=ZblMCtZpT4i7rYSO4Wp8cy9iEn2IPdplVeaGlnHNMQ0,913 +torch/include/ATen/ops/copysign_ops.h,sha256=Tg8r8fC8cGxFNI7lOSOZ2bV2ZF5NSodfZZZl6CKTHS0,4463 +torch/include/ATen/ops/corrcoef.h,sha256=GDBasS1FlJ6aPhH5_9L-iRi7eMVB5eN3TCgq5uJOvXQ,633 +torch/include/ATen/ops/corrcoef_compositeimplicitautograd_dispatch.h,sha256=Qgr8zzSJSOy98Wk5pDDY4duS-gwWzpWCRiyuGLgoISc,766 +torch/include/ATen/ops/corrcoef_native.h,sha256=lNqqSSZ34u5SYG8-_Qby1_Yj3MBlqvpGYvcsrHryEpM,489 +torch/include/ATen/ops/corrcoef_ops.h,sha256=3svqaxwTkyRZfKzUmndCwBSwwGkcsC9n-_GUuujMn_8,973 +torch/include/ATen/ops/cos.h,sha256=swTtg8boheoyxfQiEVPyGiL9yZh9calbm5kdaSSlJJY,1118 +torch/include/ATen/ops/cos_compositeexplicitautogradnonfunctional_dispatch.h,sha256=XKVvuZOuv_bPHRX7C4cwM-cfWPODj0pSOvZ1ZGFxhJE,835 +torch/include/ATen/ops/cos_cpu_dispatch.h,sha256=gw277qd8XP-Y724zsxGLvWZHBCHldZxJXMs7ukg16MQ,916 +torch/include/ATen/ops/cos_cuda_dispatch.h,sha256=bqDfjG5_6nHr06NGx5DEwadJSmaiB-qJzokbef0p9Yo,918 +torch/include/ATen/ops/cos_meta.h,sha256=PPWqlwleiz_3VkN-bCTFI1BvLv-AB7QTAeF-fXLDko4,583 +torch/include/ATen/ops/cos_meta_dispatch.h,sha256=tSRNtVElJrkcfn1ByDc_ochQ6ZAk7DrI-3ZrEloalgQ,918 +torch/include/ATen/ops/cos_native.h,sha256=YUbSFd91EaOFtFfGHxaqq7l8G_taazf6crfoxjFWPtw,656 +torch/include/ATen/ops/cos_ops.h,sha256=1KspHRzN6LgwSy2kNtehQ4btQMjLMZpR7EciXa6POxQ,2095 +torch/include/ATen/ops/cosh.h,sha256=gLjEMFOtkGB_Zd_F0bqDRNaipL3JhRQaSpCmLUgeWaI,1131 +torch/include/ATen/ops/cosh_compositeexplicitautogradnonfunctional_dispatch.h,sha256=2Uur5cBIzb7T_-M4SQ1xA2Us7H7rhSDakvpYrF1eHSY,837 +torch/include/ATen/ops/cosh_cpu_dispatch.h,sha256=I5W4NGGCfpx2W1Lf3jjJn_Hq8tCI0OCD0hzhbvC5ku8,920 +torch/include/ATen/ops/cosh_cuda_dispatch.h,sha256=-nja_h6zd3bKq8ed_lFUz5aAqNhPBtkz5HYO39zYNqs,922 +torch/include/ATen/ops/cosh_meta.h,sha256=hqQNhhhZj2xPbGGTT6zaaHQISGJ0A4EBgu5QkmywaYE,584 +torch/include/ATen/ops/cosh_meta_dispatch.h,sha256=yQDVX0UfehAZOYAEBrIJgDgC-5HjlM96eSEkK8dgbdw,922 +torch/include/ATen/ops/cosh_native.h,sha256=7TeexHzGO5RH7KuhVooiMB3h2LzJ3turt5rg5qexkas,601 +torch/include/ATen/ops/cosh_ops.h,sha256=PAwhLupMbpiseVgzR-2YBW0pepMXIGNhxZvN-kfQmws,2104 +torch/include/ATen/ops/cosine_embedding_loss.h,sha256=GSFFIkw954i9D4DmyC9xkS3t7svSX6h9w8zTL0BbERo,906 +torch/include/ATen/ops/cosine_embedding_loss_compositeimplicitautograd_dispatch.h,sha256=WHFcFub8Z_kx9KhnXYL3N8SQtZxtyd3ixksFaRlO6u8,893 +torch/include/ATen/ops/cosine_embedding_loss_native.h,sha256=fLOvgDbDeTC5w8gJPR0sIuGTEA40D0KofWtYm7teUOA,616 +torch/include/ATen/ops/cosine_embedding_loss_ops.h,sha256=fzR_H035Svh6Fcbo8vBMKEM9My9eEnEm4jQBzzgbjPY,1319 +torch/include/ATen/ops/cosine_similarity.h,sha256=zQYcKeTMk3kjZSjuhW0xnan17heypWPcDdC6jhcRhF8,772 +torch/include/ATen/ops/cosine_similarity_compositeimplicitautograd_dispatch.h,sha256=g6y8I6nkWoEnPKivCrGWtqMLMQxIBsQtfXSHOu26imk,829 +torch/include/ATen/ops/cosine_similarity_native.h,sha256=ONwGubUJBOhKWdlh0im9sq7j_6h_a6wAI05I4fg_ReI,552 +torch/include/ATen/ops/cosine_similarity_ops.h,sha256=lVQiKaHbQlvcUvnM-cBjkP5ohOm0RhQUI_XmGp1Q_MU,1166 +torch/include/ATen/ops/count_nonzero.h,sha256=QQdNvTpcywP5jIB9fTzJLa9eKz7hHPcfxpCPinU8iCg,2026 +torch/include/ATen/ops/count_nonzero_compositeexplicitautograd_dispatch.h,sha256=tf_oqqVynMMTV5RV1NeNydcYMaDUGzn7kmVdY-ZKil8,1265 +torch/include/ATen/ops/count_nonzero_cpu_dispatch.h,sha256=FBrVfXgU6x3nFFrROZJKjhe_gxOe32MuX6zhEQIwfes,748 +torch/include/ATen/ops/count_nonzero_cuda_dispatch.h,sha256=EE3oYmEhT5abweGJHngTdMQKNV7_XqWr0zoHg4NUWiM,750 +torch/include/ATen/ops/count_nonzero_native.h,sha256=qXLoaT1xOGt2ZlaW32q6mg_AMQfipo6exTF7J_TRbi8,939 +torch/include/ATen/ops/count_nonzero_ops.h,sha256=1AYz-6CG_TB7fEf1J61j30IrtWS1Xm9uGGb5ckV-oPA,3231 +torch/include/ATen/ops/cov.h,sha256=P3inDkhG7ucnWDQhVd5mi3l2BEXxksw5ivbi289Usuw,828 +torch/include/ATen/ops/cov_compositeimplicitautograd_dispatch.h,sha256=ntaixdaSpkcAEhNE2y1ZUGIc90nhM-D4dJ3uXyTyPvM,877 +torch/include/ATen/ops/cov_native.h,sha256=d5oNU-F4YjToTKSiNE7IQRoUphSeQ84PtsDmfG_1Es0,600 +torch/include/ATen/ops/cov_ops.h,sha256=yBvEavr4JQeuJ71SOmjkL1XAIiRSjrOovnpvp5H0c0s,1320 +torch/include/ATen/ops/cross.h,sha256=mmPNMpMRkxGUcXM4P0AFuPwbK_DqoFuJKKjD5jtd1Q4,1316 +torch/include/ATen/ops/cross_compositeimplicitautograd_dispatch.h,sha256=TZGA85XiomuwH-fptowxUavTZ4aPf48AGpMa0Apv7qU,1106 +torch/include/ATen/ops/cross_entropy_loss.h,sha256=78F98L-LGeVd3OT-xUr8xjLYB0JY0sMihJnja4cYapI,2423 +torch/include/ATen/ops/cross_entropy_loss_compositeimplicitautograd_dispatch.h,sha256=-LyNol1846RdmBY4V9SEjmsEXvNkI7X4Ju69UsADitQ,1185 +torch/include/ATen/ops/cross_entropy_loss_native.h,sha256=WT2qcAGqNZdUc5jZ3mMAsvjzyi6nW49c96UyNN-vwmI,676 +torch/include/ATen/ops/cross_entropy_loss_ops.h,sha256=WYShcNmT3enrGndEsoAbB7cPFFXcoSlRYqHTQNnb3fE,1473 +torch/include/ATen/ops/cross_native.h,sha256=jOfUPzn9Rsen8gk6fhkJQA9WZBUvwhtrRMAWr-dzuEc,684 +torch/include/ATen/ops/cross_ops.h,sha256=b9lPwQ5z8TMTaKoDI0wDoC2CMLxfaSZkgCVaRi4owTs,1946 +torch/include/ATen/ops/crow_indices.h,sha256=ZHcmhuwvI1juYRE4EpqfcJFDKWpe44liAsYjvSFrYa0,497 +torch/include/ATen/ops/crow_indices_compositeexplicitautograd_dispatch.h,sha256=_w78fpD5cPDBFa5l2dFfGTzKOBPSx1jMppVkqzJ-PyU,770 +torch/include/ATen/ops/crow_indices_copy.h,sha256=GEnii1icR1E3iYVYOITAapWE_rdNNTvTUn3FDKDGkrc,1125 +torch/include/ATen/ops/crow_indices_copy_compositeexplicitautograd_dispatch.h,sha256=LEDe0wumTfyPrFVFsmJz8FomL-_aWjXLgfmg3put_kk,889 +torch/include/ATen/ops/crow_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=dor4GEDzsCoPlSlsDgkJFeuLcKD4k-i-dWyLIFgHUrw,801 +torch/include/ATen/ops/crow_indices_copy_native.h,sha256=a0p9mrVfns8hLkgf1VZCKNEag9AwnOiLA4Q5SHYRJq0,587 +torch/include/ATen/ops/crow_indices_copy_ops.h,sha256=lsEF3UjL0ui4H8HP5ZajAsJfQGDW5WVqNsmbb5okT9k,1656 +torch/include/ATen/ops/crow_indices_native.h,sha256=WUqGYIWxLUO0nLDvO9LCYpaRKaZGqX995IdpEnq8DWU,572 +torch/include/ATen/ops/crow_indices_ops.h,sha256=36t3TF6AYe_mVo7wWA88kZwXQu_uupUJtdxglVl315A,991 +torch/include/ATen/ops/ctc_loss.h,sha256=ESWQTS-emMvqSZG8ACs6AWu0K71TRqpD75zCpSkH9V4,1570 +torch/include/ATen/ops/ctc_loss_compositeimplicitautograd_dispatch.h,sha256=lodC6QtfIpGZWarBKx1EU-y_ZEKhUrjerqhrkNgiWUU,1184 +torch/include/ATen/ops/ctc_loss_native.h,sha256=pHmklPZN9i5zb-lHs2PqZxHyhOLBJkQ1JRNlsaIXblU,907 +torch/include/ATen/ops/ctc_loss_ops.h,sha256=tam1NB_sGcegE5oh9ZpX6WS7oM3ztQcsFOzz_IPnKXE,2577 +torch/include/ATen/ops/cudnn_affine_grid_generator.h,sha256=dWNL5cgN_wp0IH1iVrfNE4MnCUFfGl8r-u6XcehOjmc,1491 +torch/include/ATen/ops/cudnn_affine_grid_generator_backward.h,sha256=u7jEVVDw2U4DYC6GyAYnC5Ee4SgMs_cFxo8ruh0HRKU,1578 +torch/include/ATen/ops/cudnn_affine_grid_generator_backward_compositeexplicitautograd_dispatch.h,sha256=omgVfGaYsaVWSRcW0IB3KYtsgv8tj7uY_3ok0Udwmuo,1015 +torch/include/ATen/ops/cudnn_affine_grid_generator_backward_cuda_dispatch.h,sha256=6c_zsSS4UaFFGCahgjtd-5WGJASaHHpFX-n89fHjLkU,796 +torch/include/ATen/ops/cudnn_affine_grid_generator_backward_native.h,sha256=lbDDk5Jlm801sC4bs6rlnpZypeUPL9VrQZ1RNVmcxRo,713 +torch/include/ATen/ops/cudnn_affine_grid_generator_backward_ops.h,sha256=-aRwVQji_g2Qov33XjUVMi4wg-3GzmqL8fmXTG2n9Bc,2085 +torch/include/ATen/ops/cudnn_affine_grid_generator_compositeexplicitautograd_dispatch.h,sha256=rXr_id-lUlL0PZLDFAndWFduVVPk9zmcBHSbRU54_34,999 +torch/include/ATen/ops/cudnn_affine_grid_generator_cuda_dispatch.h,sha256=Mg-Zbx9D4KO_RHKckBZyuaB5ZnmL5k_ybw-VOv9BAho,788 +torch/include/ATen/ops/cudnn_affine_grid_generator_native.h,sha256=1lwqidKk5c3TKoen23G29f1lyL10-0d099w1slRZOHM,705 +torch/include/ATen/ops/cudnn_affine_grid_generator_ops.h,sha256=lqPhdrBfovnJl1upr6QbHLRy8MZg7Rkzrr2jREInA58,2031 +torch/include/ATen/ops/cudnn_batch_norm.h,sha256=5714EFo_UdZ9xhuNac6z3X0_9v8jJeB9uxueCNQ3-p8,2993 +torch/include/ATen/ops/cudnn_batch_norm_backward.h,sha256=VQEGutl9d87uxghSG1Blk9rDDKo8qdoLvD7BT0DEQi0,3179 +torch/include/ATen/ops/cudnn_batch_norm_backward_compositeexplicitautograd_dispatch.h,sha256=Wp2Yo2I9N87gSJ3STsOeJdXB3rQ2j0FdxxiGhb2Cvto,1649 +torch/include/ATen/ops/cudnn_batch_norm_backward_cuda_dispatch.h,sha256=af0anfv834uMvCbigXyf40ge7jf0KKBjh6lsQ1YSnjk,1070 +torch/include/ATen/ops/cudnn_batch_norm_backward_native.h,sha256=FrVekD3Yl6yiFm0TEQqdEm7XBHsGscruMpygmwiAss0,1304 +torch/include/ATen/ops/cudnn_batch_norm_backward_ops.h,sha256=ltJ3Q915QFb8GgPDQmM3sqm8J3X12WO14ByFqZwLAxI,4009 +torch/include/ATen/ops/cudnn_batch_norm_compositeexplicitautograd_dispatch.h,sha256=TFLBpIjks62tnVXVsbReuLiwDIGsTC3i1VJLf7BKAGA,1567 +torch/include/ATen/ops/cudnn_batch_norm_cuda_dispatch.h,sha256=-og_QsxPs2Yp-ACeditkEsckrTl9FG46JdEG1XN27Aw,1008 +torch/include/ATen/ops/cudnn_batch_norm_native.h,sha256=gBmosr7VyPo2URcQmoZoRHEQvmiix86FXG8lhy2alwk,1201 +torch/include/ATen/ops/cudnn_batch_norm_ops.h,sha256=rYo9zSp7xx15atqQrnSaieoBWPmSsMjUuuUzM3L8MJY,3708 +torch/include/ATen/ops/cudnn_convolution.h,sha256=iEAclXpb4jZzWyvmB8BVp0L73oLUNoYXIu0L_zvcVsg,7654 +torch/include/ATen/ops/cudnn_convolution_add_relu.h,sha256=NKHWQS94MJk5_yvjgJIa987S9fcKZe0Vv2IPLVi6_cU,8185 +torch/include/ATen/ops/cudnn_convolution_add_relu_compositeexplicitautograd_dispatch.h,sha256=HRCvRmsJnjj5Yn_kkQylUg1wh07BgOKc5U0UkgkppmI,2034 +torch/include/ATen/ops/cudnn_convolution_add_relu_cuda_dispatch.h,sha256=uyvvzlzru6gmrFxTWtblDaJUnA0IeWXD0uDm7JfDJ28,1281 +torch/include/ATen/ops/cudnn_convolution_add_relu_native.h,sha256=HtCFKlWAKpjElyk0JMkK_FjJGeZv7gZa34Et8akixAI,1070 +torch/include/ATen/ops/cudnn_convolution_add_relu_ops.h,sha256=Nc9Pu0XtgO3KXQFnFV1uF3d0_lJC--MyzwrwlsRjKb0,3276 +torch/include/ATen/ops/cudnn_convolution_compositeexplicitautograd_dispatch.h,sha256=HdVQjNY8int8FyFB9WlxKP3rUzMQzwMm9tH5rckyqBA,1798 +torch/include/ATen/ops/cudnn_convolution_cuda_dispatch.h,sha256=O9ukA_WX-UdnDKA__5dTethwGFOfFp4I3IiRHp1NtFI,1163 +torch/include/ATen/ops/cudnn_convolution_native.h,sha256=IslzmXRhXoGiCiULnu6GWYlFmXLWfBGImC1XKM1p5uM,952 +torch/include/ATen/ops/cudnn_convolution_ops.h,sha256=w5C4E_SBMlb_J17X-IAzhd3IHo0IiFIzoQCNHLFDl2I,2906 +torch/include/ATen/ops/cudnn_convolution_relu.h,sha256=Bv6wOIY-SPYifl6rowNkgk2iEnfsUWPs0P1zOFM879k,7035 +torch/include/ATen/ops/cudnn_convolution_relu_compositeexplicitautograd_dispatch.h,sha256=QsDN8KSKrEvOSCFxQiSV9rjH-3nbGaZKRFsBcHCKFbc,1766 +torch/include/ATen/ops/cudnn_convolution_relu_cuda_dispatch.h,sha256=YwPk7u7w4hDG10xI6wgQvBx5X_pY-BOSVVZljgUUIzc,1147 +torch/include/ATen/ops/cudnn_convolution_relu_native.h,sha256=KaewlwUZUjgNn5c4Ai6cCoTLUFlnYb1tWz5y2SjvWoQ,936 +torch/include/ATen/ops/cudnn_convolution_relu_ops.h,sha256=U3X4AAvEpYu6v5bxIFZoErZtA-db2iqMVhqLG835OTc,2840 +torch/include/ATen/ops/cudnn_convolution_transpose.h,sha256=tyEDMuMGqXmxmPwD4YPnnq8H_HNvBsI_tISaE017rjg,8870 +torch/include/ATen/ops/cudnn_convolution_transpose_compositeexplicitautograd_dispatch.h,sha256=Ak52MBqjj8TkxX5MtRq7zLDR_o3c0_SdQJXU1VDvbTc,1974 +torch/include/ATen/ops/cudnn_convolution_transpose_cuda_dispatch.h,sha256=xmvTx8EkFeA4j-xcn-a1SHY6LZr0XCE4xRAPxxn59T8,1251 +torch/include/ATen/ops/cudnn_convolution_transpose_native.h,sha256=mdPrhfSl-mmT2FzHcfWW0RLmdWdeImqc4VvnYUlhN-U,1040 +torch/include/ATen/ops/cudnn_convolution_transpose_ops.h,sha256=-euPsLDgfpwp5nafk1mKgSbN2csnwG3PSo3rNqX4wNw,3202 +torch/include/ATen/ops/cudnn_grid_sampler.h,sha256=VYlKE4mSTVAhrshRCESYJbKY2QTHfeS70Z5PZRnY6EY,1274 +torch/include/ATen/ops/cudnn_grid_sampler_backward.h,sha256=fomw9dbnm4t1SCZhhVEUxkHlBH-C7ihm8LhzOqb62aY,1779 +torch/include/ATen/ops/cudnn_grid_sampler_backward_compositeexplicitautograd_dispatch.h,sha256=blb1k5yEpgDhv-rEyyTpUiJ3PcvMuOwe2aF3lUvf7HE,1117 +torch/include/ATen/ops/cudnn_grid_sampler_backward_cuda_dispatch.h,sha256=6uvFt8Ug12xf33J9ANxaaRw67-qmJMwSXdSY69QXI50,825 +torch/include/ATen/ops/cudnn_grid_sampler_backward_native.h,sha256=SmJZPXrF-lIXpxiuVFTNfLYrraTLKlfWJf9sSbuL5yQ,793 +torch/include/ATen/ops/cudnn_grid_sampler_backward_ops.h,sha256=dKSQl1gW3FlHQX979J9yv-d_wvsjnVx92rJb79w_iog,2362 +torch/include/ATen/ops/cudnn_grid_sampler_compositeexplicitautograd_dispatch.h,sha256=sX_Pp6YMhGvDf0YSUuEeayTbV_Aqvp9oC_gHZ-HnzKI,941 +torch/include/ATen/ops/cudnn_grid_sampler_cuda_dispatch.h,sha256=YwZPDzrrJAefCUs8Vg15yk7OdmObQI4xsKjJ2veupUI,759 +torch/include/ATen/ops/cudnn_grid_sampler_native.h,sha256=IUM5kbqYJr65PbMnhQhEOyWA2UXOMB-eWMC-_c5w99w,647 +torch/include/ATen/ops/cudnn_grid_sampler_ops.h,sha256=yO2grglRr4SBRLFnkpDbI7ri_5xKFLs1TY-hLkurWCs,1835 +torch/include/ATen/ops/cudnn_is_acceptable.h,sha256=m8CPpy2Qu1DVRluJ3P7MYjkN5BNUudps58DfMF76VUk,669 +torch/include/ATen/ops/cudnn_is_acceptable_compositeimplicitautograd_dispatch.h,sha256=E0ZgfkRQcvvGaP34ONxiQn1PtPZlFmH9nyYCz3-wGUo,771 +torch/include/ATen/ops/cudnn_is_acceptable_native.h,sha256=sTzHj2dDjfIdvUHjqw5iU3r3kFWubRqd4DugykVNDAA,494 +torch/include/ATen/ops/cudnn_is_acceptable_ops.h,sha256=D3zNVwsWkeKGpVO8FW9NNku6YIOZMskTO2sV9NDD-gY,986 +torch/include/ATen/ops/cummax.h,sha256=pYukgwz9k9FY4aR_ACD56VOPuPRfFKeQ8voAgEr-O9E,2338 +torch/include/ATen/ops/cummax_compositeexplicitautograd_dispatch.h,sha256=JAsbyGjv8yHd9qvsIub_amJCvIqUy7kHnWUMFa1qpDk,1089 +torch/include/ATen/ops/cummax_compositeimplicitautograd_dispatch.h,sha256=ysKrZo_zIiCtP2NM7FWbx3t2jjXesY3qvwVU6d4PY8k,1101 +torch/include/ATen/ops/cummax_native.h,sha256=7-3BfiWgvH40pvnTrXBPPpaRFpf1ZH_l3gbnssqO-Ag,911 +torch/include/ATen/ops/cummax_ops.h,sha256=S2OwuixN8NCm1P7w1xUrbu2B9nV-Bzz7gSu1qzB_6kI,3595 +torch/include/ATen/ops/cummaxmin_backward.h,sha256=p3sPW55GCQrq3teTQLEgNIwC1UkUghNpuyr_uqxjjHI,800 +torch/include/ATen/ops/cummaxmin_backward_compositeimplicitautograd_dispatch.h,sha256=zgUxDvn3JeRV1T8HH7wlJ_SOmfWDblm-aRCdDuRLD6A,843 +torch/include/ATen/ops/cummaxmin_backward_native.h,sha256=7juatun98ujlPxyeFJ5rfX5VN3iVEozwQmfXqXVb0sQ,566 +torch/include/ATen/ops/cummaxmin_backward_ops.h,sha256=Loa8RpajstYXErtEYtUKvzDBpDwpTNnpUSPxT2GVHcE,1225 +torch/include/ATen/ops/cummin.h,sha256=_LWPoZjqhhpbDmFWSkTk8sP8mNryLiLIj06gNa0HeyI,2338 +torch/include/ATen/ops/cummin_compositeexplicitautograd_dispatch.h,sha256=kc3U0-PI7dbqXr1f0IXzDXAdz29cGdqR4FhmKxkXw2o,1089 +torch/include/ATen/ops/cummin_compositeimplicitautograd_dispatch.h,sha256=-0jp9zEiv4a_fMS1YeyFUKwVVAAKkA_OE9GEkAn3IZI,1101 +torch/include/ATen/ops/cummin_native.h,sha256=hmJnKx4lG5-PXImI-EAVSeO4b65Crhc3M4jhmEaxU1g,911 +torch/include/ATen/ops/cummin_ops.h,sha256=_BNGFROmStBNEyh_qn8vY1XGTGSEFd4OEVG0od2-q0s,3595 +torch/include/ATen/ops/cumprod.h,sha256=hz819Wqkr_1iPTgTcpsG6nnwcjYI-CYghIho33t4xyQ,2259 +torch/include/ATen/ops/cumprod_backward.h,sha256=ShGAhfyti9SNAP6EO2-Eaocc9LZvtY5S5iQbZh2mahg,789 +torch/include/ATen/ops/cumprod_backward_compositeimplicitautograd_dispatch.h,sha256=wLxWUZU6Af4t8iHIxKTlR7jCShqfM-MmgAgxaE0ORHk,840 +torch/include/ATen/ops/cumprod_backward_native.h,sha256=sty9vnj3HvZ1cGbwnXiZbbB2Xx-t2iSed47voKN6-6c,563 +torch/include/ATen/ops/cumprod_backward_ops.h,sha256=LCG7KQ3hYNzvBHGNf3J-J3DsgecR8miUl2uOSY4Up2s,1216 +torch/include/ATen/ops/cumprod_compositeexplicitautogradnonfunctional_dispatch.h,sha256=E9_ZmKUp56YfycDd8h3ucnkuDbK7ZyWypRz5dnQDg8E,969 +torch/include/ATen/ops/cumprod_compositeimplicitautograd_dispatch.h,sha256=EB6LQg40YBxcxc-UolVWUDC-HF13wr45rF7apc1f2sw,1231 +torch/include/ATen/ops/cumprod_cpu_dispatch.h,sha256=GgUQ7GgpJzSYiTI4LnpvULR0tDG0HGqblvEjYuDBJdo,1171 +torch/include/ATen/ops/cumprod_cuda_dispatch.h,sha256=F57tHG9mEXWNeMnWbrcIs2T2YuLpKKw_uXRGx_5pyzg,1173 +torch/include/ATen/ops/cumprod_meta.h,sha256=mjhqH75DXvuXxEt7b9cxyPZd5-4rdhLwJbMVzN4bmXQ,637 +torch/include/ATen/ops/cumprod_meta_dispatch.h,sha256=lMNVsQUBvx26iTL7brIp6BNwTADiSp0ASTUd8APLpmw,1173 +torch/include/ATen/ops/cumprod_native.h,sha256=8lRJ_FU1HtHTBmVfLb2jeMZbsOGRaVBh6K7cMiYr6qw,1034 +torch/include/ATen/ops/cumprod_ops.h,sha256=G-XIHDj8XtvNitB_fDEEaJS9ilWRyj8w6uGl46ZAYxU,4996 +torch/include/ATen/ops/cumsum.h,sha256=WMTrMWnya9kNt4avmiHSGsKMvhPOsCwmAZK6h60w05o,2240 +torch/include/ATen/ops/cumsum_compositeexplicitautogradnonfunctional_dispatch.h,sha256=Q8ksAD3d97CruaYp3IZFcfK7WJCVG7CiKq-CacLWrzk,967 +torch/include/ATen/ops/cumsum_compositeimplicitautograd_dispatch.h,sha256=f0BpfNJf-Sr33LWhx0c2w31Lh0TLzvqqfGPoNJ23gOY,1227 +torch/include/ATen/ops/cumsum_cpu_dispatch.h,sha256=jviHbUasmrr7Yx9DNnFCYHMM90mbtSHUTzT4yaGOstA,1167 +torch/include/ATen/ops/cumsum_cuda_dispatch.h,sha256=CclAa1AkXe8RfhUj4aIPpi1JEuXHP1EHJvLBnELTsBA,1169 +torch/include/ATen/ops/cumsum_meta.h,sha256=Tfzp8R8q_7D_Svn99Bf4mRrWK09_NA_-a4eVwciGDqM,636 +torch/include/ATen/ops/cumsum_meta_dispatch.h,sha256=pRyCm5k6i-0bXHqWxmhA3OPrGYUtXpQSAPBUV7OAn7Y,1169 +torch/include/ATen/ops/cumsum_native.h,sha256=JwSgWvsUWSlwF4OSjxZStRhxWSqbzgy7KGkrN4d6AUE,1028 +torch/include/ATen/ops/cumsum_ops.h,sha256=MXtUqZcjwtDabBSYToebaaIEbY1pswgM8lV8WvjbIw8,4978 +torch/include/ATen/ops/cumulative_trapezoid.h,sha256=1exYeRsIoCOeR-hC7FpGdASwqjaDNgRtieGkjmX0xp4,999 +torch/include/ATen/ops/cumulative_trapezoid_compositeimplicitautograd_dispatch.h,sha256=8ZQtDNIBh_WBa_GRz5Y3eO_cP5jkEtEoH1wy8mknN5M,919 +torch/include/ATen/ops/cumulative_trapezoid_native.h,sha256=GWg0L7FvxvCFbSQayzlxc4vlY7tpyQU4fnRcgr7SBqs,642 +torch/include/ATen/ops/cumulative_trapezoid_ops.h,sha256=du_Q-ICs0YLOqj1kr5peSvhApZMrCOCIAdY21MpOLho,1832 +torch/include/ATen/ops/data.h,sha256=olRxkf7UOplqWe3e7OP5pZDmLe234zxef5mp1eUbCgc,489 +torch/include/ATen/ops/data_compositeimplicitautograd_dispatch.h,sha256=7rT5Ey_ek1MWNWGDWMK7RTglC-A8vrIUHUoogFmPrO8,762 +torch/include/ATen/ops/data_native.h,sha256=TsUamkwCK4ExXzifYSMe6iMIMSqsHz9w1wYJxXGWDIY,485 +torch/include/ATen/ops/data_ops.h,sha256=u5ZB5e0cuxEmIjBTvPBdEhTaN3oCXI_ZS7zVWaw209A,961 +torch/include/ATen/ops/deg2rad.h,sha256=_95ds-7gLx3c9HgRSqZDrUT0PIgyvrLjcUTdbvSRb60,1170 +torch/include/ATen/ops/deg2rad_compositeexplicitautograd_dispatch.h,sha256=DLSR889V3eHxDTyTDgFYjBFbYzyQ4e_g78K8hW3VHqU,976 +torch/include/ATen/ops/deg2rad_native.h,sha256=Y6lzpXKK7HUQZLS6XYY-VP1kJ4GtsXI8m3BOtRFYROQ,1045 +torch/include/ATen/ops/deg2rad_ops.h,sha256=OdRtNfWstIS8NuMt9u39a8jLyG23xWV_yPS9o1hnnl8,2131 +torch/include/ATen/ops/dense_dim.h,sha256=4cRjTPlG_8a9j6ZpuIQBweBtVoOlFBGFUNZMuzWkCg8,494 +torch/include/ATen/ops/dense_dim_cpu_dispatch.h,sha256=630cXfxbYNNA6dqh2CAUc2FIo7-kshaz_CXEWoR2wLE,720 +torch/include/ATen/ops/dense_dim_cuda_dispatch.h,sha256=b91WkiC6cmqrbwNTzIam_7cJePSfgH0ErIROjDrJneU,722 +torch/include/ATen/ops/dense_dim_native.h,sha256=UpsXu9HSMoiz_cAeKHvyTG0_98YmEKXeMI38-lK5NGM,621 +torch/include/ATen/ops/dense_dim_ops.h,sha256=dfFIdqBZog1yvhySDqWSuH-uZTbRkmTEMWQcAgXduyM,964 +torch/include/ATen/ops/dequantize.h,sha256=p52EhUaIvvxpDV6O3oRXCSxX-eH3_y6t9_OqWsfzDTY,1708 +torch/include/ATen/ops/dequantize_compositeexplicitautograd_dispatch.h,sha256=G79b9-0_JeOtygHHMAr06A1m2Npq-6vwZf8wU4ddJl0,1026 +torch/include/ATen/ops/dequantize_cpu_dispatch.h,sha256=PgMCnHQK2lewGWM_pKyXztqTdjHq1sphVO5wR-wODHE,724 +torch/include/ATen/ops/dequantize_cuda_dispatch.h,sha256=sbUXS-BxQPCsWFII-0-Yj7zMWV1u_aMl5gIEhBtWCPY,726 +torch/include/ATen/ops/dequantize_native.h,sha256=XlO3Aq6dGG39YUfAx73Ex-uT4rblKxU_pSr2nNQUMP4,835 +torch/include/ATen/ops/dequantize_ops.h,sha256=-OZ-tyqbEcR6eBGwELdE5M85Z0UpNdHHxetJke3sNog,2891 +torch/include/ATen/ops/det.h,sha256=wDePbrvqjm_Ledl4p9thQKnnhE8cC1W0WiCs7Gjhc7g,613 +torch/include/ATen/ops/det_compositeimplicitautograd_dispatch.h,sha256=vMhr6dD8nYriKxlO7LAas9mbHdj_bRMEbwKfkByWGcg,761 +torch/include/ATen/ops/det_native.h,sha256=xISiolu42yWEzVPa9ugUs0AbTV5EGU7at_avfwMugSI,484 +torch/include/ATen/ops/det_ops.h,sha256=Vj5DXd8PKWt2U3DCF6Q1VRea4zF-QQTORJS1tMO1nks,958 +torch/include/ATen/ops/detach.h,sha256=ik9ZE_g1hyvevsa9YgDwB_LqhfFZ9HguTDOVLnOlrdU,773 +torch/include/ATen/ops/detach_compositeexplicitautograd_dispatch.h,sha256=crcZzI_9nwLGaJvHqbeMlfQpDK3rghIb7ftfD7-K2Yg,815 +torch/include/ATen/ops/detach_copy.h,sha256=FKZ0Sf8MP1P7L_Y18hqQJC2-9_ZjZIM0Zk-RSBnYJtI,1065 +torch/include/ATen/ops/detach_copy_compositeexplicitautograd_dispatch.h,sha256=xqbDYRrKQ3HENY3MW9a_H2FO4r_MZEU-BPYRjjTJxKE,877 +torch/include/ATen/ops/detach_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=vW0hj53gbojTYp7awhEvCMgH3ATWwxH5LDf6gHofF-M,795 +torch/include/ATen/ops/detach_copy_native.h,sha256=7TGbutWNjSLEL7leF3o-fxOAf_SN__uGbGzrjINRNoc,575 +torch/include/ATen/ops/detach_copy_ops.h,sha256=d8aBlrElKzmbT7QyKh0KcxyrnjALAKKtRr8TNprn4yM,1620 +torch/include/ATen/ops/detach_native.h,sha256=Lqu0rAu8I4gE_gFia7O5TJcR0WUzUDgkgbiGqBnLNkA,538 +torch/include/ATen/ops/detach_ops.h,sha256=HCMLv23LQjjPvBb6SRS5SoI6sHW6Jdr5AJa3OYPdNHQ,1505 +torch/include/ATen/ops/diag.h,sha256=vb2jd7bEwwJJGk5eTa6exYSzYtEO_CXyX3oPQ82pMI8,1131 +torch/include/ATen/ops/diag_compositeimplicitautograd_dispatch.h,sha256=edYpNbx-uPwMurX3pmgjbRTGlyh-cXPUVb4hup1v0KU,973 +torch/include/ATen/ops/diag_embed.h,sha256=uTisEuRxIXjZf0nWRxVnl2RZ7OL3Fta_zLsqPCXCcBc,1383 +torch/include/ATen/ops/diag_embed_compositeexplicitautograd_dispatch.h,sha256=gg8ug0EHOEm6fljI_cZ4Uoc9S-U2fToKJT2DCO-DFr0,971 +torch/include/ATen/ops/diag_embed_compositeexplicitautogradnonfunctional_dispatch.h,sha256=BqH6JU_YRm-CUQFRUTvWhpZ3mYiXTmYXqqaZKlpTebs,846 +torch/include/ATen/ops/diag_embed_native.h,sha256=BJIeE3KzhiFUzPFrcxpPM0Cb4P0DC_FoEuDFxO9ZHqY,669 +torch/include/ATen/ops/diag_embed_ops.h,sha256=mptAqmzVQsq5iG3HhfAOAcYv3B0InnlM7lUkqDnELQ0,1924 +torch/include/ATen/ops/diag_native.h,sha256=yc4w-euyMh-gWFORsZPdg-D5Wc3Y_PCLxThz-M3xQi4,599 +torch/include/ATen/ops/diag_ops.h,sha256=S7jqrigTQIddIssEpjQGpYFWhe36gLkZf8_oCTi3vDY,1700 +torch/include/ATen/ops/diagflat.h,sha256=79q9p7mJ_3n4VmV_DoRfR56m_6yQV0SIl1l4xUidSgI,673 +torch/include/ATen/ops/diagflat_compositeimplicitautograd_dispatch.h,sha256=iAv9nwwoz86t3SP_zl3mQCCfQAF_QsHYZ_vBg8lLqh8,784 +torch/include/ATen/ops/diagflat_native.h,sha256=576p5a3hUPL7j6vSB347-c_-CPQ_8zVOZJfgOd6f1v4,507 +torch/include/ATen/ops/diagflat_ops.h,sha256=MOgSp8i8tHXdiBw5qpgqGCrWmrCauws3VABcgKQW9W4,1028 +torch/include/ATen/ops/diagonal.h,sha256=GvmjO5XV0raFRsRKQUHdTz-L8fS-22UQlbwxOtV8BgE,1073 +torch/include/ATen/ops/diagonal_backward.h,sha256=Cl99mg5hvmzqwhCh2_F2Zo21jLFjq-BQVJ46RyX-on8,5230 +torch/include/ATen/ops/diagonal_backward_compositeexplicitautograd_dispatch.h,sha256=AOBdU5Kt4gWehW06MCyD-vmUcCLIvk6MhVu9952CYQw,1711 +torch/include/ATen/ops/diagonal_backward_native.h,sha256=qBx-S9aA4IgMI_jwNXQRmbq-Zt89jw5bunmMBJyWvfM,769 +torch/include/ATen/ops/diagonal_backward_ops.h,sha256=VNqKKNrZmP5mYSw_CLSF4fAd4BKZjNAEfh8gamUTOB4,2210 +torch/include/ATen/ops/diagonal_compositeexplicitautograd_dispatch.h,sha256=YNCL9amA_G1wo5NJs2cWY13NlZUJhLaoM6LR-9sjqJ0,816 +torch/include/ATen/ops/diagonal_compositeimplicitautograd_dispatch.h,sha256=eFMJSnz1dq1oAiLRHonak-2wtUy0wI6EqqvdkPVofBw,840 +torch/include/ATen/ops/diagonal_copy.h,sha256=gpTSmzn8GRGOPvyPXd-8IHjKYOzTP_W6hUjBjnpaKD4,1403 +torch/include/ATen/ops/diagonal_copy_compositeexplicitautograd_dispatch.h,sha256=FqVEXXDUGjaBarEzXdKgH6vPnanN89fGkBUiL3JWP3U,975 +torch/include/ATen/ops/diagonal_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=1eCt651vj8kU98-XvhO2c7oWCIupIeanTt5z2gUjEzc,847 +torch/include/ATen/ops/diagonal_copy_native.h,sha256=eFapkmNecl7PG26LhOskH3TJIFFp-7inc--LwuqiauQ,673 +torch/include/ATen/ops/diagonal_copy_ops.h,sha256=tASZqgsDLLnaqQ451bt-C-OV_8HuYCBef4d6w4ovm8k,1938 +torch/include/ATen/ops/diagonal_native.h,sha256=q4RUZuLjAGo77_F7RqQ_kZZu5k_DRVUeVu55VxtKP5k,669 +torch/include/ATen/ops/diagonal_ops.h,sha256=pyLMA9TiT_xQcDDKJwbodaLaLCG5qU4bjbMGLXPQCwA,1953 +torch/include/ATen/ops/diagonal_scatter.h,sha256=uMzPG0jit7W0qvCQHnA59QQZEu4Y6y5xVKz48bOo4as,1556 +torch/include/ATen/ops/diagonal_scatter_compositeexplicitautograd_dispatch.h,sha256=St221yGHbtk1c16W8KqHEsb1Gp78kre72V65iTIC6Uc,1029 +torch/include/ATen/ops/diagonal_scatter_compositeexplicitautogradnonfunctional_dispatch.h,sha256=gQ6Hz-GumZ1598dqaSGzKKSS7l1kd3AcB3m4kIsIa8w,874 +torch/include/ATen/ops/diagonal_scatter_native.h,sha256=CpZHiE3F3YMMKiGTl7RvzWqKjDNWdtbSeok090D3pOk,727 +torch/include/ATen/ops/diagonal_scatter_ops.h,sha256=fBMgl9nXo9wOAi-Zr9vxuZ4D1IiDmduYdEIG85GDCKU,2116 +torch/include/ATen/ops/diff.h,sha256=FvaXdOAqcuEXnRmvNh0u6DYdsd6H7DLOk9xQUqpfILA,1611 +torch/include/ATen/ops/diff_compositeimplicitautograd_dispatch.h,sha256=ofKsgvyaUDGtMy1yHbA2VOfXeeQjUIBoR8lXb687YXA,1264 +torch/include/ATen/ops/diff_native.h,sha256=t6AFB3b97s1eW-V9Db2CiVAHan7fg3FWVQ-OPKDX0AU,790 +torch/include/ATen/ops/diff_ops.h,sha256=NArhjbSSyqoskz8ys1aEFDE2NxNprBzaYxyWfZZ5DYs,2318 +torch/include/ATen/ops/digamma.h,sha256=DCbpb7Q5xkhbDiIG7fO4C0pF4MzdfBTymMsiurX9FAE,1025 +torch/include/ATen/ops/digamma_compositeexplicitautogradnonfunctional_dispatch.h,sha256=9X1iwB9nsSRxsdntZOMRgNxmGsS45_ZQhKj_pP0pwAU,843 +torch/include/ATen/ops/digamma_cpu_dispatch.h,sha256=MzP1whO9KAJd-sPTA-0DmQFm4nc7wudhV4fErigm4RQ,932 +torch/include/ATen/ops/digamma_cuda_dispatch.h,sha256=jR7Kxf3Kutt18KxH-jso7KLOqnEnbxR_Bq6rrPpplc8,934 +torch/include/ATen/ops/digamma_meta.h,sha256=UkRji9cCYf0tAz78fUaw6JIOnYgBXj8FH3JLNAdrsuU,587 +torch/include/ATen/ops/digamma_meta_dispatch.h,sha256=MuEijZQNPnfdw2EgfID4yZbv9rKtm1BwMxsKMYIHJ9Q,934 +torch/include/ATen/ops/digamma_native.h,sha256=1tf3qjn2Or8BnU0jcMjdcUOma8kOdt4EkSA1q5cGoXc,610 +torch/include/ATen/ops/digamma_ops.h,sha256=95pRtKCzuqvWcr25N4q5uURQ2pe2JkrU5GfP2iDUgi0,2131 +torch/include/ATen/ops/dist.h,sha256=YtuQHwSzsJ71p_2BOo_6BiAFDEE4OWVTy0UYTwzknMU,1251 +torch/include/ATen/ops/dist_compositeexplicitautograd_dispatch.h,sha256=pc6-HxVURdAmbQaoZuiKy0zBIcwKICyCIK7PEulFXsI,1063 +torch/include/ATen/ops/dist_native.h,sha256=yucZAgWqHKREO_tMuo3xHamCPkd1nXjQIAKYndSbQBg,659 +torch/include/ATen/ops/dist_ops.h,sha256=wyD7JR6GdQQ8otEPNeRNCs6wUtNu3EcNt_8m_ItGIPI,1902 +torch/include/ATen/ops/div.h,sha256=nhP4r6SFfgvf3GSspF0-SYkvHZ-2bSXr8hOVevp1qMk,3713 +torch/include/ATen/ops/div_compositeexplicitautograd_dispatch.h,sha256=jexmByoV23UmyCmY3PO7A0sUp68RnpLRbw8vjeg87Tw,1606 +torch/include/ATen/ops/div_compositeexplicitautogradnonfunctional_dispatch.h,sha256=XyRbLM8ZmSEAQcOiXp37VvUFa9xSdBDmsHu7n_X57iA,1132 +torch/include/ATen/ops/div_cpu_dispatch.h,sha256=7OQ0D-Vy_f38vrzi03utqLgsoX7KaxW8VAPJuaKXpqk,1562 +torch/include/ATen/ops/div_cuda_dispatch.h,sha256=AAe1ndRGJxdXOnFF6FZeN1rbyAp1MQLigYbhrUYDHME,1564 +torch/include/ATen/ops/div_meta.h,sha256=WJ8kgOoWRLfbtQTBFEAzm84po3MsDlUNBoDhzlnEjJ0,816 +torch/include/ATen/ops/div_meta_dispatch.h,sha256=O29fXORCuFEwtXjL5hkPXRQE9Yx_2IU5uN79a5C88zs,1564 +torch/include/ATen/ops/div_native.h,sha256=06TvqUV9r7hXQMbeGT0ZtQ5ZlpFB6sAJ-DF3ZdIMnj8,2505 +torch/include/ATen/ops/div_ops.h,sha256=fWdk8l0oOekOYPsDjFj0bRsHdsKhvrBm9voc49siKWU,9296 +torch/include/ATen/ops/divide.h,sha256=KW2lNdW65x_c__CGQInqJl3qGblExW273a4yNdc48J8,2616 +torch/include/ATen/ops/divide_compositeimplicitautograd_dispatch.h,sha256=-I8ZrlENPBYi-mZHD18qqUlFmMYZITX2jwXOM7xmTAo,2038 +torch/include/ATen/ops/divide_native.h,sha256=6cHfFA03AmfvuwznqfVA_AXojvPg0YgsskZsMl5b0T0,1504 +torch/include/ATen/ops/divide_ops.h,sha256=75CNY0HcyN1dHR0uAXmYz1lICyvJYlNK225853lH1A4,7782 +torch/include/ATen/ops/dot.h,sha256=1UuXr9OmtAd1xeziesj5fD9rDu5eQoB0QEdc6Gvl5fM,1135 +torch/include/ATen/ops/dot_compositeexplicitautograd_dispatch.h,sha256=usIcLuparc2NVrF5TntbpbjqgiYJq-dhnbfKBM-ixjs,915 +torch/include/ATen/ops/dot_cpu_dispatch.h,sha256=ywDI3f52zvW9ZKo6diE_gnWH81jZEoKLcdRwFswIp5w,744 +torch/include/ATen/ops/dot_cuda_dispatch.h,sha256=A86RTtAXKBpGuszl0vJJJXB-rvKc5BIKkMrFAUY8Wuk,746 +torch/include/ATen/ops/dot_native.h,sha256=7PGyEqJljvQTQh1RS_BRGqkcMVn6ukufnxBk6M4LSz4,696 +torch/include/ATen/ops/dot_ops.h,sha256=gv9JbRQjSCoZLAJy8r_guZrkocYQvKipACGh6fSzl-g,1750 +torch/include/ATen/ops/dropout.h,sha256=ckLZuvwBwoFnSbwIm1UIYnI9xaLCK3HHk8W9JnwPbW0,883 +torch/include/ATen/ops/dropout_compositeimplicitautograd_dispatch.h,sha256=1oNmNCeNCWLHWL9vxzq3kL67NmtOUC8Ir9mLr81pUbE,862 +torch/include/ATen/ops/dropout_native.h,sha256=Am_s8C_2BP-limHudqlMYL7ncF-Z9COE4rZ6Q7HywsA,585 +torch/include/ATen/ops/dropout_ops.h,sha256=mEk39af2nGsRYGCqYkV5bmExg6es_HIHHUYCPXBtGO8,1666 +torch/include/ATen/ops/dsplit.h,sha256=jhKjvCiQhYFJ5iIQRKqJoV1k0LiQRc51Oyy8W_s-ojA,927 +torch/include/ATen/ops/dsplit_compositeimplicitautograd_dispatch.h,sha256=Lc_xGCKzhxHNU6F2ztKMmp3eKEXyWbtDoBFsS4gUTb4,891 +torch/include/ATen/ops/dsplit_native.h,sha256=v5CceKHVxUKD10prClTTwd6ftAXohY7vQAYgnUGwsf8,614 +torch/include/ATen/ops/dsplit_ops.h,sha256=95tud01xSOmnkYVwEZXPNYSCuUmJtbKvrDFYqugFXQ8,1785 +torch/include/ATen/ops/dstack.h,sha256=ircg8ZDuOcy-VbPr0jHcBHCB5fyZRTDmnoKbDdLWiXg,1036 +torch/include/ATen/ops/dstack_compositeimplicitautograd_dispatch.h,sha256=-PJkYjYTP0wjfRHnQapUQfgNNbnBYTdnEAawd6IfuGo,918 +torch/include/ATen/ops/dstack_native.h,sha256=odFJOUGWApyH5F92QolWBMQMtxEzTGJXonPFetCizCA,563 +torch/include/ATen/ops/dstack_ops.h,sha256=4m9Fy1WhPy3wNTRmRS7PCp2yHUEN2talXlJXvu-8kZk,1588 +torch/include/ATen/ops/einsum.h,sha256=GzvxeAQ5TKboaxwFMw0YHL-q5CRv8hTMImyI85iwkVU,753 +torch/include/ATen/ops/einsum_compositeimplicitautograd_dispatch.h,sha256=hucK0ab1nsQQBY2GcdF81yiW_K75Mt_RzC12vMHDd58,833 +torch/include/ATen/ops/einsum_native.h,sha256=kKPRKr-v2uK4Ie4HH0HE0U-GwIaH45vyCgq7MSM0ryw,556 +torch/include/ATen/ops/einsum_ops.h,sha256=JMHliVu9Pa6JRbdHnl_DhB6LgbF8l1UMQxOxmJZMRVs,1158 +torch/include/ATen/ops/elu.h,sha256=fRKWVT2PpUMonqJEnpiMjdmedkOea2a63w1VV9pLuSU,1796 +torch/include/ATen/ops/elu_backward.h,sha256=7J_sHaY7TpCRgElq-j5ULpIF_-QTy5fsNYHgwqAjS84,2036 +torch/include/ATen/ops/elu_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=qlCwY_IF0NLw-2QiE0jNvaoCpd26zZVloEMivjNBIZM,938 +torch/include/ATen/ops/elu_backward_cpu_dispatch.h,sha256=6oHWY1Wd3wCF7Qx-uJWFii0PBI5jgqRvVJ0mjgiQwnQ,1335 +torch/include/ATen/ops/elu_backward_cuda_dispatch.h,sha256=fdyXrsKqOmCUyGCynwJB6d4_L_c-d-d6VVSJIKHpi-I,1337 +torch/include/ATen/ops/elu_backward_meta.h,sha256=b3AuQ7jh9zd6EyyjjQT7BV3DLqv6CVDvGfFMDwHwZfg,734 +torch/include/ATen/ops/elu_backward_meta_dispatch.h,sha256=aBlORlbO3W34dcLIfKr813uBE6GBuldwHwh28Ry-2N0,1337 +torch/include/ATen/ops/elu_backward_native.h,sha256=uZS4uwoPgEMLTc7KKrAuDliFMbvOvA93CX7J6JERaRg,774 +torch/include/ATen/ops/elu_backward_ops.h,sha256=zX5DWE4G9aQiAX18ZwWC6dKNWHjGQLOuOpX0gN0_r48,2596 +torch/include/ATen/ops/elu_compositeexplicitautogradnonfunctional_dispatch.h,sha256=h59xyTdy10hFVr9wqnuWFXy1RDVR5VG3mIUD1lDUzB8,1015 +torch/include/ATen/ops/elu_cpu_dispatch.h,sha256=MQ8vMkSuDHX55lAxNnE8GxsxQdYPu8IcXX_quyvHxRs,1270 +torch/include/ATen/ops/elu_cuda_dispatch.h,sha256=c65G_16MwTnsFIaTU3okr2z3a9D0i1a5jL3U43FHPmY,1272 +torch/include/ATen/ops/elu_meta.h,sha256=OGglh6nYU27YQctuuEVnSDQsxiNmHZsnHQQ5KBY7QFs,667 +torch/include/ATen/ops/elu_meta_dispatch.h,sha256=xRS9WTykrUufIbwrl9jW_EFxnQWvpVqdDpIOjNcLFek,1272 +torch/include/ATen/ops/elu_native.h,sha256=Yjsvox0DAq8d2SpuqtmjpTIW4-fhwf-bMzo1ZMKwpWg,682 +torch/include/ATen/ops/elu_ops.h,sha256=HRrvTP5tiN_Pb1tKku0NO1xbLcD0W2hR2Oip3f99k7c,2941 +torch/include/ATen/ops/embedding.h,sha256=pE5jrMHn2tTeFSnHJ9kpQ-YLV0hM2eShX0HgupzMCBk,5378 +torch/include/ATen/ops/embedding_backward.h,sha256=xoM3m72ARBZPvLRof4h-dCN-SH8Qm7f3o4FZSPXZa4Y,2189 +torch/include/ATen/ops/embedding_backward_compositeimplicitautograd_dispatch.h,sha256=5J0XifO3Bq1LhMsYc9b4M2PZNufoKk-ufaJlbRo3XBs,1073 +torch/include/ATen/ops/embedding_backward_native.h,sha256=zWrt7eb5i5O9y_XCjOJpxmlV3DWxNW2aD38kbBmmxVg,622 +torch/include/ATen/ops/embedding_backward_ops.h,sha256=g80RywFuN75gTB_QMR8erO2OH39-dnsiEIZs-y21Cl4,1387 +torch/include/ATen/ops/embedding_bag.h,sha256=KZ2eiX-ELF871cwwGhKLF7PPS1Ct-ojvhIo7TpqAkpA,1936 +torch/include/ATen/ops/embedding_bag_compositeimplicitautograd_dispatch.h,sha256=bAreZHYNMU2-pqrtMt_yzNVqBYZptqfsEln0UUC8mbY,1365 +torch/include/ATen/ops/embedding_bag_native.h,sha256=N7-TYMqvTTeLz_1GVVOy6G8dA73W32C_jvZhck3RJcg,1088 +torch/include/ATen/ops/embedding_bag_ops.h,sha256=2fTYKwo2YBRR4nQngynwsWspvV3kM2BL-9utUO_iH9c,3286 +torch/include/ATen/ops/embedding_compositeexplicitautograd_dispatch.h,sha256=8eczPbmzXRyTbrpuGcqT8-kLZzcRab0-ufAGe8L3x0w,1777 +torch/include/ATen/ops/embedding_dense_backward.h,sha256=JSkpNTC999i5IlfNWDtwFFS0ABc1b7Yj1k_BMapVr0c,6005 +torch/include/ATen/ops/embedding_dense_backward_compositeexplicitautograd_dispatch.h,sha256=tq6A9LTD0Kiig8wrCh9tiiSnGPH7J1sYViaDC3p5x4c,1534 +torch/include/ATen/ops/embedding_dense_backward_cpu_dispatch.h,sha256=xflS-vDS_njA_ikBB6utdaTMEEwrXs9kkv3wQnXhRRQ,1029 +torch/include/ATen/ops/embedding_dense_backward_cuda_dispatch.h,sha256=FequpJMa_WaOnF_1PX5qQN4trbOiwDBe_ZqoDndUMQk,1031 +torch/include/ATen/ops/embedding_dense_backward_native.h,sha256=VByjOGjDYb9pBbhX3wxxMRtlHSm6bpLh7kkKRzV6Z6U,1003 +torch/include/ATen/ops/embedding_dense_backward_ops.h,sha256=Tk8MVUeGvXvA2C-W-CS2YBqKm4xwu-UsnoEeeVq0RbU,2418 +torch/include/ATen/ops/embedding_native.h,sha256=woXeblgfaF5EfNwu6Btz7c2y-YkxbgUrZoNggt2d7zI,960 +torch/include/ATen/ops/embedding_ops.h,sha256=nk3ngB_010_nHCBKokhUvjfP8TWgiV-thp_AviE_g0I,2252 +torch/include/ATen/ops/embedding_renorm.h,sha256=ciRbNyGI0CFrwPZPTL1zbf5qsO-xczvskFqp_FVqgW8,1855 +torch/include/ATen/ops/embedding_renorm_compositeexplicitautograd_dispatch.h,sha256=Hk99z9_8zaNCvQpsJA4at3iwE8dSNruNPzMbJ_IRy9Q,1140 +torch/include/ATen/ops/embedding_renorm_cpu_dispatch.h,sha256=T1QIHLFDW8ngs9ywm8fFp1JHzZE_GzlBZfHc-JDjmKo,790 +torch/include/ATen/ops/embedding_renorm_cuda_dispatch.h,sha256=9hv7EzsAbrhN9UKfbqdPAzJ4yHqyoWndeDVBQuEM8bs,792 +torch/include/ATen/ops/embedding_renorm_meta_dispatch.h,sha256=YxzMsc1SvfuUmiH9JV6tZS1tgWYJ-yzPloNfM10S9pE,792 +torch/include/ATen/ops/embedding_renorm_native.h,sha256=t_CA5XsM2kIZ49akWt9h7HAFwwyQRJpzzX--s3o9e_o,968 +torch/include/ATen/ops/embedding_renorm_ops.h,sha256=VSABSWqnupL1SrtQgmKXiMdz5hBSyyKf_BsczniT9ZY,2845 +torch/include/ATen/ops/embedding_sparse_backward.h,sha256=dVFxyqYIReHPyvWryxsssFVaT0IGI4Vg9QSEDJtIvZI,926 +torch/include/ATen/ops/embedding_sparse_backward_compositeimplicitautograd_dispatch.h,sha256=59UmBtuADhejdZEqMfc59TUmjy3d00WJ9AWdpNms-p0,878 +torch/include/ATen/ops/embedding_sparse_backward_native.h,sha256=vAN0SPS0Fw3fmza7H4s1fkyTHbE-2TutShH5c9w-7pY,601 +torch/include/ATen/ops/embedding_sparse_backward_ops.h,sha256=Oe5gVl43EkLIOeFKS1OQeWvrrj2dAQDLlL483Hxj51A,1333 +torch/include/ATen/ops/empty.h,sha256=m50tYPYAMg8iUGCi2zbfMU1mhj1bPTkbsqFm9g4EM_E,9123 +torch/include/ATen/ops/empty_compositeexplicitautograd_dispatch.h,sha256=Qe4KEQ0_XspqwFTAUIZP692TCsYRJ1D3GJze00vxklY,1492 +torch/include/ATen/ops/empty_compositeimplicitautograd_dispatch.h,sha256=d51XQ3FxktMfQtQKaTjkV0xvtzGesKXvWn7EXEadVTs,1244 +torch/include/ATen/ops/empty_cpu_dispatch.h,sha256=ggP_9TKtQqVuUa6nbKptbcTz2j0tRYZmnUI-0skSrV0,1436 +torch/include/ATen/ops/empty_cuda_dispatch.h,sha256=kD8ExKT8y5wXckBI5cQ5sRkfSEspzwl3Y3PIxY-p6ZM,1438 +torch/include/ATen/ops/empty_like.h,sha256=dsjwwAvAxn1GWMULo194nfTwla1uKVMXTSFKGVSZ-Tc,2184 +torch/include/ATen/ops/empty_like_compositeexplicitautograd_dispatch.h,sha256=tBUHAI-73PmhZeQB52MA0aNmjDY453ZNQ5sN6gyU2Fk,1372 +torch/include/ATen/ops/empty_like_native.h,sha256=0d5Ingv6Nq8zGHWtMp3Vutml8AF1rzMc7QG2rsOxXss,1936 +torch/include/ATen/ops/empty_like_ops.h,sha256=rInU8JwqmUO99VrYCLopVTPKHrz6z0U1T3fdaIk3fhE,2408 +torch/include/ATen/ops/empty_meta_dispatch.h,sha256=_RwE-yQjUwF7Kh6S9HnmwVdRec2U0Zy0n_mGSyq80FU,1438 +torch/include/ATen/ops/empty_native.h,sha256=yEgIZkcIX6UxO6QUpo63tWkUEEXMACTPuneSe-JMkxI,2910 +torch/include/ATen/ops/empty_ops.h,sha256=gAlD-LHMfpN5Y_V129FzUNosNgb-_d2a0Xc1ZXzlAXU,4640 +torch/include/ATen/ops/empty_permuted.h,sha256=hoNpYyPvE3QPLkruE7_tof-o5O9xvuaHx2kexJ4nQRM,6754 +torch/include/ATen/ops/empty_permuted_compositeexplicitautograd_dispatch.h,sha256=2aflpp_5PYUWf8TbBO0kGWWkr92o2dgy74bRd0O1zmM,1922 +torch/include/ATen/ops/empty_permuted_native.h,sha256=c7RNmqVDcLKRpiiiRmz2VCarxBE-bZM35V8dOehR8kc,812 +torch/include/ATen/ops/empty_permuted_ops.h,sha256=68aNtByJJHbPh8WreHwv2VZEhwcOgxvRy13b0ncLJ4s,2332 +torch/include/ATen/ops/empty_quantized.h,sha256=WumH8kZ8yUYWlKiGG5enOzq4x_pPXbactZFIu9YloR8,2445 +torch/include/ATen/ops/empty_quantized_compositeexplicitautograd_dispatch.h,sha256=I76ZutC4dfB3dneKXn611nZg8CoFvP62XWKazf_H1jo,1042 +torch/include/ATen/ops/empty_quantized_native.h,sha256=71TQUY6eFJFHx4NIWfC5tPvxzsel-A8VO-cFQKPTEQA,889 +torch/include/ATen/ops/empty_quantized_ops.h,sha256=6BXYwhzUybYVhtUiiEEJ_e6gRA-AvVHmGkUPWFZYatI,2602 +torch/include/ATen/ops/empty_strided.h,sha256=tVlut0urUixMavOf7IHPH4su9U7Las7NHMlRvYoz8lo,6617 +torch/include/ATen/ops/empty_strided_compositeexplicitautograd_dispatch.h,sha256=9Yx0W23lS5yaKrujxuaO8x3yQMEwplxPJfvN3GAtPTA,1166 +torch/include/ATen/ops/empty_strided_cpu_dispatch.h,sha256=dPUK5jv0LHFkG9yVT4z0-vlgeCBjx07w0Fwr45ti-3Y,1358 +torch/include/ATen/ops/empty_strided_cuda_dispatch.h,sha256=mgIOakp3k6cJjXfsMnOHRahPRJ7XKUl3dv1gujLAOqo,1360 +torch/include/ATen/ops/empty_strided_meta_dispatch.h,sha256=ZxiLnfxexF863QGJsfgRrqRAhBVSCSUgyl0EqeIz9Qw,1360 +torch/include/ATen/ops/empty_strided_native.h,sha256=8VuJ1km6-sFXzmcJS4nsrvP55RPbpAdDMMaMHz-OXow,1525 +torch/include/ATen/ops/empty_strided_ops.h,sha256=Qs5ZQ0Yybhs9jNT-phyRTm4SZLGXESqCDq2pTUECJgk,2302 +torch/include/ATen/ops/eq.h,sha256=GXMZ0K-27vGhDJF2CMD5DeCJ6d3PacynjUwCneroRok,1830 +torch/include/ATen/ops/eq_compositeexplicitautogradnonfunctional_dispatch.h,sha256=KBRnPMNuCIKfzjhAwMFIMu8zPyTBUJclRyW5rJ4s3pM,1034 +torch/include/ATen/ops/eq_cpu_dispatch.h,sha256=dX1UerPELGPV4lzsajFq2BNzJ4U8rteB_iNG6pY9MJI,1366 +torch/include/ATen/ops/eq_cuda_dispatch.h,sha256=D5TAunT-rKbYZugffS42_hxtzXbOG7-6TYZN8kob5fI,1368 +torch/include/ATen/ops/eq_meta.h,sha256=Eoyo6lqd8ozWwRdKvY5GLwnDf8elrWd_2MxGXw5U180,762 +torch/include/ATen/ops/eq_meta_dispatch.h,sha256=LB_A-cJJ9BdJ6XbKFiU-riS2O7XDrXM5M1AL9AU340k,1368 +torch/include/ATen/ops/eq_native.h,sha256=fB8k90lHCqZGXqHKyl_vmqk_Mb2UDnXavC0-Pof28M4,1306 +torch/include/ATen/ops/eq_ops.h,sha256=UzpohP8DOI_2J4dBJr9FFTRAGw_1N4UXPr5T6TUhJhM,4376 +torch/include/ATen/ops/equal.h,sha256=gxTQVVh7tU4VR6Uud2toHWXFycBiodu6u2NEv12YYdI,660 +torch/include/ATen/ops/equal_cpu_dispatch.h,sha256=j5YI9YxgBAETewaOudtFJrDBjlWTdCdgu5JbKAuO3G4,739 +torch/include/ATen/ops/equal_cuda_dispatch.h,sha256=mchBRbi709Z6951APBwwJTDKDAvKDG1mstukVN301iQ,741 +torch/include/ATen/ops/equal_native.h,sha256=ISVLA6uAl7VLBjRX72Yc0VnsV-UJv3LljSg8pFKvYR8,675 +torch/include/ATen/ops/equal_ops.h,sha256=lMNnRNS62M-XQ-fSn30z2OQ1pte6JM3VZLXVqVK2mlc,1030 +torch/include/ATen/ops/erf.h,sha256=-v5urK-s1xGdjdufyLNFOn32pxVPbPSaEEEqSPJRJSA,1118 +torch/include/ATen/ops/erf_compositeexplicitautogradnonfunctional_dispatch.h,sha256=wGh8OQNFw08ICErp-Tc3_W_brhkUYUmKJuLpARD357g,835 +torch/include/ATen/ops/erf_cpu_dispatch.h,sha256=AvAjSKKI1QA5n9miS9De5mCT6BjVMIxeImwH-wHWf-k,916 +torch/include/ATen/ops/erf_cuda_dispatch.h,sha256=GWFJ8FLIUo8rGp7_yO_BRyqAuw76g_VYO_uw50s8OoY,918 +torch/include/ATen/ops/erf_meta.h,sha256=zYB6_L9Bs8BwZG_AkeUlFmaVYX-aF_eYiiCHJr7OgFA,583 +torch/include/ATen/ops/erf_meta_dispatch.h,sha256=-R-SQRDApQ2COAqEA-W7zlEGrIZ1SBlzcQTi82sChNs,918 +torch/include/ATen/ops/erf_native.h,sha256=DyyHjqt7-2cMFAQmtz7uVSEQxiECCmKCmT_guGeaqrs,1000 +torch/include/ATen/ops/erf_ops.h,sha256=hG_7-iUbRkngBasOzzP55Yd6z-QGkMlNDGSRTXOf2Gw,2095 +torch/include/ATen/ops/erfc.h,sha256=3JNjXsxtIOImRn0c8FGKLBAIVqO0JzGh-Znf1VvRvAI,1131 +torch/include/ATen/ops/erfc_compositeexplicitautogradnonfunctional_dispatch.h,sha256=q-k3nbIGUOcOnj5MsWXChdnTMBhn8-5kB8sd5Fb8xas,837 +torch/include/ATen/ops/erfc_cpu_dispatch.h,sha256=hEQv9d-XZkOz2G1sh8F3jnvjT6YJzyq3vw7tDttSjbg,920 +torch/include/ATen/ops/erfc_cuda_dispatch.h,sha256=d72OS5rCSKyaC6Xu_CqyaFFb8tHLu4Qex1YSUW1GpOA,922 +torch/include/ATen/ops/erfc_meta.h,sha256=Ba__FiLoyW3ayjrs2fACPzlrGgkFl5z5ZYvavG1jXig,584 +torch/include/ATen/ops/erfc_meta_dispatch.h,sha256=CJYQDuJ3y2tvJcXtA7MiRjhxM_3TVPmnVuAwc4swutU,922 +torch/include/ATen/ops/erfc_native.h,sha256=TBtbKKXNz4ltpxOFvOVyiKUyRo73nTTyOGwzdZ9rcSw,601 +torch/include/ATen/ops/erfc_ops.h,sha256=H_aU8tbgl7X3vvL39uUdkycnlbpxOs74d5nJbdz8VHM,2104 +torch/include/ATen/ops/erfinv.h,sha256=2WYxHW8YUd4GMTsb78GSvA-Kc_uuiq6npGINrk50LoU,1015 +torch/include/ATen/ops/erfinv_compositeexplicitautogradnonfunctional_dispatch.h,sha256=fUne7QfatltqmYEf3TRh9rhA6Y-RciRnVYL_GASFiC0,841 +torch/include/ATen/ops/erfinv_cpu_dispatch.h,sha256=Ztz4EPsFCKaHv5JTq-fV5OlxVqC2is5dhPrd09k8w7s,928 +torch/include/ATen/ops/erfinv_cuda_dispatch.h,sha256=aY594X9BP_pSYTU5pf-ZV_YpZmtCLig4Ez01-xQZ3R0,930 +torch/include/ATen/ops/erfinv_meta.h,sha256=yGbCSaxzSZbw4aRBXOm0EN-5cC5FxiAuTZrqaRkfHNY,586 +torch/include/ATen/ops/erfinv_meta_dispatch.h,sha256=IB6PXMBYIu_ZPlpUpHwJ0gtZR5cN03-SrfZ9lIdi-ac,930 +torch/include/ATen/ops/erfinv_native.h,sha256=aTcNwr2ESmKu1eFY-24tH3ux7E7HWbY-HbDxHOObNqY,1027 +torch/include/ATen/ops/erfinv_ops.h,sha256=Ofu5H07WDV1OSEwjgQ19PvqiT7o-Ifc4DzjoK2ceUqo,2122 +torch/include/ATen/ops/exp.h,sha256=l-ovHsjFXBfPzjMPcfjqoqx9_kYtsR9_7J0qpGAGQlA,1118 +torch/include/ATen/ops/exp2.h,sha256=VoewfhHs8MGUpH_-wILQWIn1_BuqTFzce_deZ6Mp6_4,1131 +torch/include/ATen/ops/exp2_compositeexplicitautogradnonfunctional_dispatch.h,sha256=0sDVcNT2fsPkoBdF7c2SLkRb8Qu5BC_ZhTYVXCxFTqM,837 +torch/include/ATen/ops/exp2_cpu_dispatch.h,sha256=ChHI9xli18UWhLndDAE-VrZtlBDl609msXhfsomnRT4,920 +torch/include/ATen/ops/exp2_cuda_dispatch.h,sha256=kHFfupmTIOQ3oT8rn6NcF0aEI8wbGtGBjX9Tk-maJ7M,922 +torch/include/ATen/ops/exp2_meta.h,sha256=8YyXwp2iUe9gkIsUdck50UDuVrPrmrRQJmIX86bhGFs,584 +torch/include/ATen/ops/exp2_meta_dispatch.h,sha256=wu8riUDi1xrg5kTk0hr_0c65UIbBLYFFwaJhTSr_fS8,922 +torch/include/ATen/ops/exp2_native.h,sha256=RihrUrh1UZVnNvqeu7ktLnEiEwMK-J62nDVaMXchSGM,601 +torch/include/ATen/ops/exp2_ops.h,sha256=chG265Me1u53Y4PQtdQS20Qes-UlaItIbdrw-NRIuJc,2104 +torch/include/ATen/ops/exp_compositeexplicitautogradnonfunctional_dispatch.h,sha256=2rqohVS0dE2UKHaFzeWd2kxoZGugi7StrreNa1F_gFE,835 +torch/include/ATen/ops/exp_cpu_dispatch.h,sha256=2lTOIfH7qlYfKCswj8TQo6jF6baWXRvXXOSZW6-qs78,916 +torch/include/ATen/ops/exp_cuda_dispatch.h,sha256=MY8adYFNWWvvAhwbmDuDMoWissmDQ7GMZDZTh8zwR0g,918 +torch/include/ATen/ops/exp_meta.h,sha256=cyrFTah7uEcSGmzQpvccxlMoucXhMbp8tYKoMhGnkZw,583 +torch/include/ATen/ops/exp_meta_dispatch.h,sha256=faByptHQZXch-YyobWHQDNAEq9PVfcLYmtDs8XX8jRg,918 +torch/include/ATen/ops/exp_native.h,sha256=GxtYIEj7_1_FNRtQVr4xQTpg3CzquqZkTOi30G8BHVc,598 +torch/include/ATen/ops/exp_ops.h,sha256=bpDlyVLIS-pAUxgcsDdFvSQc016KvaAWVxrcDCRfgxw,2095 +torch/include/ATen/ops/expand.h,sha256=2TBPBfG4Z2vHsVOb5rL-e1yJzKtg_kYxo1SXJ6rs6-Y,1042 +torch/include/ATen/ops/expand_as.h,sha256=StHIIPoOSOe-S9Jbical6kjeET1-akE1AtbNzb9zaDk,494 +torch/include/ATen/ops/expand_as_compositeimplicitautograd_dispatch.h,sha256=cVEtvoJtb283EXs5fSIIfIxBIVYJDQd4ARPpCCyRD0g,793 +torch/include/ATen/ops/expand_as_native.h,sha256=n7E9OHCt0RCEJs7G1wMk2Iiv9q_FxuMfiYf8sL_g2y4,516 +torch/include/ATen/ops/expand_as_ops.h,sha256=jQf0ptthpog-W75Ji874b89x9haQZ8a3wYPvEAwMcr0,1068 +torch/include/ATen/ops/expand_compositeexplicitautograd_dispatch.h,sha256=Qx0mu67trWhHgomTJ65zvGfIkyWratnKpZ8cCcS0Rhw,915 +torch/include/ATen/ops/expand_copy.h,sha256=ZouophU-hhCs9DDceXXzDrjnoon0N7isB2TR1Qd1SO0,4144 +torch/include/ATen/ops/expand_copy_compositeexplicitautograd_dispatch.h,sha256=PxfPj2yE_V2uwySAAggHjWBcQW_hqe2TA8zoYhgz52g,1226 +torch/include/ATen/ops/expand_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=roKXKPuF_RUB9Xj9pbeHE-qMCfmwbEU5uds7m8CcJvQ,951 +torch/include/ATen/ops/expand_copy_native.h,sha256=DU-JMLG0MPdzswgUvvM6nkOPVzSrj-d8f9b0t6jV93E,677 +torch/include/ATen/ops/expand_copy_ops.h,sha256=nPiobJsUk88sSzgGdi0m2JTJDtXLJQtKpl3CIZFg0_4,1913 +torch/include/ATen/ops/expand_native.h,sha256=ubJrYLdQoQEfdzx3OMQxNCrPjH6_ObyUgWCT0imeL1A,530 +torch/include/ATen/ops/expand_ops.h,sha256=M9vN1aIeE8ggWslW2t-YLroxHdVs0-Aph6_srwAR2ZU,1121 +torch/include/ATen/ops/expm1.h,sha256=zMJOjqbzCUNoX0A2P0RuU6NRGqLFPqC79nRNtJp_54k,1144 +torch/include/ATen/ops/expm1_compositeexplicitautogradnonfunctional_dispatch.h,sha256=vYezwxrqAV3EN_qhHxw729lZtQzbNnM3w8ieEuCtH9I,839 +torch/include/ATen/ops/expm1_cpu_dispatch.h,sha256=W0rNlEV4hw3jspSM4-TYpygYaW6JrTwYtG2KuHd0RCU,924 +torch/include/ATen/ops/expm1_cuda_dispatch.h,sha256=kgOBS_KiKvv-5_DCd6iN2G8JXMvGnoEnK8WyzCL7v6E,926 +torch/include/ATen/ops/expm1_meta.h,sha256=7KbLWjevvtyHhkVigBZd9o0Ap1J91gT7dEorI-n0UTY,585 +torch/include/ATen/ops/expm1_meta_dispatch.h,sha256=8ssRg75TMNvGC5FTliSsbT4bmgqr6DAgNPS_hktXrvA,926 +torch/include/ATen/ops/expm1_native.h,sha256=b-MWnxwaXxPRzKA12MxR-MYJgti0T0JmgxF5Io0uTWI,1018 +torch/include/ATen/ops/expm1_ops.h,sha256=o6sHPgbwIL4YyBHT_qMiZrY36ClGHy2qYQQRcWldKhw,2113 +torch/include/ATen/ops/exponential.h,sha256=rG1OXfHklnAXvpO1o32L-PUV-qtyVAPQ-jB9wsu2kCc,1440 +torch/include/ATen/ops/exponential_compositeexplicitautograd_dispatch.h,sha256=_RzACMCxsp04CM_1C9EmTdxUpYz_jGPBOvKy8FyRbgs,1128 +torch/include/ATen/ops/exponential_cpu_dispatch.h,sha256=AchFoRsH16aSFN-nCQFuAGpJvBzmzSNRX67hEYcZLfI,791 +torch/include/ATen/ops/exponential_cuda_dispatch.h,sha256=ID6yuvANBIhUhju-1SgLPOjeA6RuqxcDxnQI4hEsm80,793 +torch/include/ATen/ops/exponential_meta_dispatch.h,sha256=eCceT3BsYvwAbsPBmCLyCl3-NrM7eQJt4WE5zZmK2Lk,793 +torch/include/ATen/ops/exponential_native.h,sha256=xzuZXYZ25EvDmlFSaSA53wQaSW0YaeAdPr7POYbkZ0k,823 +torch/include/ATen/ops/exponential_ops.h,sha256=WivjCuSAPd-dKfViPvGdIi0eY4oiUl_JyJ0JCcVhLTo,2737 +torch/include/ATen/ops/eye.h,sha256=Kv-laBIUPUeYkwNkjXCMJbXHOiauAc71jy4Ei9rvbd8,9591 +torch/include/ATen/ops/eye_compositeexplicitautograd_dispatch.h,sha256=ycldTMxRm6i2qdSza8XKp-ZzvCU7C26U4tdAjtDHq9Q,1770 +torch/include/ATen/ops/eye_cpu_dispatch.h,sha256=WagdK81J4dFGus7FCwq8mk04QHk4watkX2B9KfU4hqw,1254 +torch/include/ATen/ops/eye_cuda_dispatch.h,sha256=fZMjlfp0iFk0bev_thUZx7p9nIENKSuCGO7OzIAGrIM,1256 +torch/include/ATen/ops/eye_meta_dispatch.h,sha256=2LSooSb0RwLAP5uJzCUe_hzKr4ptVi2_XpxzNpCGW70,1256 +torch/include/ATen/ops/eye_native.h,sha256=OhHYytb0r8HoqyDLTFHW56EIwkfmLlP3SekAZ48Cr4E,1100 +torch/include/ATen/ops/eye_ops.h,sha256=BsvfiLzNJzdND-CzEFKzY3adH6qkJdORDm7C2ZaLlDM,3651 +torch/include/ATen/ops/fake_quantize_per_channel_affine.h,sha256=RXa2aLV79HIhH7LJkCFw9dF43F-kzm0sh--OsRac_Kg,958 +torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask.h,sha256=hAJzgTe7pce9LK7mropUtUi2R-LwllNvgoiMR3txlfM,2281 +torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward.h,sha256=C7VFGQessePfJyogNs5itxbOy8YL9OEUbK3KDbQM3fI,849 +torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_compositeimplicitautograd_dispatch.h,sha256=JxMXUPjuACR5mmp7VN-Pg2NUmBPWCSm0EWJXrs54vto,834 +torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_native.h,sha256=ZCOR-66nmxiWxVZm_gPZP47Cu3Dk-jRpjAh3duQCeMc,557 +torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_ops.h,sha256=0aXSZbw3wAQei4McrkoopnK2zRSOtD9Dq_Tjs17yHbk,1185 +torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_compositeexplicitautograd_dispatch.h,sha256=ZXMSU5pKcylMlfjAWD6neNwsbZbPKao2K5mEvx4dT5Y,1251 +torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_cpu_dispatch.h,sha256=jVtpXecxXCFm47C-QGx8SZzCHyLdGaL4PQ4NJwMTQts,890 +torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_cuda_dispatch.h,sha256=W5X4cgVJWmhcpTyyqsP3cV7X1A7mYOgucyrfRbYUrp8,892 +torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_native.h,sha256=oT-ZKFLMVtYp3IxUziVTc6X3VX7KE8ueCmFX3hGz6dw,927 +torch/include/ATen/ops/fake_quantize_per_channel_affine_cachemask_ops.h,sha256=yyunkmqPmbwXn9X0fBj2b7N1ic3WUS8M4G128SrUx7E,2786 +torch/include/ATen/ops/fake_quantize_per_channel_affine_compositeimplicitautograd_dispatch.h,sha256=NoDLgqodKweiKMwy428J_3MP4RoT5_zWod6iKVHWsKw,899 +torch/include/ATen/ops/fake_quantize_per_channel_affine_native.h,sha256=HJbOlOs1YZhCwz0XsjSyfpJv7TS1gpnM--ncn2pGaV0,622 +torch/include/ATen/ops/fake_quantize_per_channel_affine_ops.h,sha256=DMPgArn-qJXFboMEtAxekBg16XPeUmR6XsgY7h39GZk,1403 +torch/include/ATen/ops/fake_quantize_per_tensor_affine.h,sha256=V24sC7BWYBjMWVX7bRd9SDKhtslA-XOnDj9cLruofoE,1336 +torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask.h,sha256=qaz_DC1Pyg8ySUVODuHWWvFqQb121NQTcqGPUKQInUk,2100 +torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward.h,sha256=Z_Oe6BdgoxIdigDKZ9T66ItnfQhFkyxuABJNC9cXfhQ,845 +torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_compositeimplicitautograd_dispatch.h,sha256=kgv_kAu6UywN6olqJdChDagPCRRJwjtGMoox6s5AOaA,833 +torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_native.h,sha256=eQgQOZ19_5vbSDhwqZxJKa6GHLqplgf5hpbkUn2fa9k,556 +torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_ops.h,sha256=yp2Ddw1xVKxOAHWP2GdhALcWKN3g08IUFlKV1GeEja4,1182 +torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_compositeexplicitautograd_dispatch.h,sha256=fbadkfIeu7cPKJZ13oVqbDSuZvJn07TygRegim86hRk,1175 +torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_cpu_dispatch.h,sha256=5_zbe8f0icL81e3zCyenXS5uFjQz8qjbIkFWONtP3dM,852 +torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_cuda_dispatch.h,sha256=zHXqY_YUz1Qz-NKDPDRfJr5bqx0SwSQ2AuNHcjG1il0,854 +torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_native.h,sha256=V59n0onJRbuFLh7sq0GftT0eFbKbcOymhLE6XQIRiso,851 +torch/include/ATen/ops/fake_quantize_per_tensor_affine_cachemask_ops.h,sha256=lWz7yiH2wKg1m4bpqIOqPK8p_pulENAZCfpehrIg3xM,2540 +torch/include/ATen/ops/fake_quantize_per_tensor_affine_compositeimplicitautograd_dispatch.h,sha256=CuUbT204hgwVISgRbz0QceEE_pkHUyBMx8mblUoNBdc,1035 +torch/include/ATen/ops/fake_quantize_per_tensor_affine_native.h,sha256=oYfewc82Vp01Wbm9seNTGXUE31mUhHJyMI1S3zbTx2A,758 +torch/include/ATen/ops/fake_quantize_per_tensor_affine_ops.h,sha256=kxRTM4PR8-lOoucnFvu4-w1XzNnFZoYqxd43rPk7kCw,2243 +torch/include/ATen/ops/fbgemm_linear_fp16_weight.h,sha256=14dlQP08ENGtbZbSMGguYInu6Frk-prTvy2u8G0Tgj4,819 +torch/include/ATen/ops/fbgemm_linear_fp16_weight_compositeimplicitautograd_dispatch.h,sha256=2TIc3R-T-6XY5prv9HM0Xk_v0DnkOs72lpAipZPTMIg,843 +torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation.h,sha256=Edp5duERDy8_hyG__5VBEP3mVSFn48zJVyU28prgfw4,883 +torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_compositeimplicitautograd_dispatch.h,sha256=mTUsi4muu5y4oUza740uug5WYOpl3_9TAzZaC4rxWeY,859 +torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_native.h,sha256=peC96q4HAAtb209Gum5celCZbbp4COUfWNC5YdMdcaA,582 +torch/include/ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_ops.h,sha256=3G0KdbtxwYSZgkKsRajf-jglH0GtHF4gPk3OGCBAeGY,1268 +torch/include/ATen/ops/fbgemm_linear_fp16_weight_native.h,sha256=l6G7-5B37teFIt9xveq9Tz449iQpg06X9a4f6CdKl-0,566 +torch/include/ATen/ops/fbgemm_linear_fp16_weight_ops.h,sha256=MGQSTQ6sKt9auskl4TaLD4yh5r6OOVSau90Eg3egLvU,1220 +torch/include/ATen/ops/fbgemm_linear_int8_weight.h,sha256=37cZVvhmZuH5V58FYbyDK9Ato7XWpP9TeznAvZzN-wI,1064 +torch/include/ATen/ops/fbgemm_linear_int8_weight_compositeimplicitautograd_dispatch.h,sha256=VOF4hdnMmoQ5V3QOUBKW6kwK4jRD5YsTtIBkS8WsKnM,966 +torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation.h,sha256=3tuDijysDX0XY4QBUc4jgzpaxpcitSD6Wt6sd6nXWiI,1128 +torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation_compositeimplicitautograd_dispatch.h,sha256=B32qVHSu0izolZAH83PYBxnLvJbCQquD-fdfj8E2c54,982 +torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation_native.h,sha256=71ctAKNuloIdDS-Ffw8r9o9h2W0cIp8xhMUnFJhdtog,705 +torch/include/ATen/ops/fbgemm_linear_int8_weight_fp32_activation_ops.h,sha256=a-l3MvA_fMwqrWDQoHDQ6P0ZvxT4357JH2MioADLmKU,1669 +torch/include/ATen/ops/fbgemm_linear_int8_weight_native.h,sha256=I7houFIX9u-VLsNQY6oAPnxDQyGNBeVK5S5R126Jb5I,689 +torch/include/ATen/ops/fbgemm_linear_int8_weight_ops.h,sha256=zCDFZuL84AOzD2C5Q37s7FPo83WjMTagxxbnVvwk49M,1621 +torch/include/ATen/ops/fbgemm_linear_quantize_weight.h,sha256=4klMa2qVFnwaoajSuC-8yLcWQ2Mn8Jsckqat-KmNlAo,782 +torch/include/ATen/ops/fbgemm_linear_quantize_weight_compositeimplicitautograd_dispatch.h,sha256=0Zti5W1-T7nBUKrbxj2ACecAUbif0Mi1P616rTHAOBQ,828 +torch/include/ATen/ops/fbgemm_linear_quantize_weight_native.h,sha256=3oHpnaXw6v7UHr41Sxb9uCwzrK3GO77SZ5UlsQIj34M,551 +torch/include/ATen/ops/fbgemm_linear_quantize_weight_ops.h,sha256=zUFZFDx07sjQE5edAZy-76tm-3Yx1r0nlEkrXB-yGiI,1181 +torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16.h,sha256=BhVq3grIJlpLiQyml1zrOlAwevCVAr-caZ9N6ulDkC8,716 +torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16_compositeimplicitautograd_dispatch.h,sha256=Ih5X5QkgaWjElwIZOm_kTdPRVdIJNO_zgwdUCBUd0xA,787 +torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16_native.h,sha256=CWKdmQdT4ggaR_d48oKKr4J0sKVCU8N8Q4Kkx2VhZVs,510 +torch/include/ATen/ops/fbgemm_pack_gemm_matrix_fp16_ops.h,sha256=uHnTxyEhzUQVN4gGzbZ9nxHKsc18qxmYip8orHYMtqw,1036 +torch/include/ATen/ops/fbgemm_pack_quantized_matrix.h,sha256=MuVcCO8tqS_s6nk7dhq-Z62I5Ri-IRE3UWSQfOSOWpM,968 +torch/include/ATen/ops/fbgemm_pack_quantized_matrix_compositeimplicitautograd_dispatch.h,sha256=5xbXNBNxNtd1wLmRxo1hwUOVwifhP5jCi7uPgLKYLr8,886 +torch/include/ATen/ops/fbgemm_pack_quantized_matrix_native.h,sha256=0RGUI92pUSbZOhCVsYnngywU1wMy3N0tCvBj8mNJu98,609 +torch/include/ATen/ops/fbgemm_pack_quantized_matrix_ops.h,sha256=LUypTsc9n3vyzyOqA_tj11BKFt-IET73UOVT17GfHck,1722 +torch/include/ATen/ops/feature_alpha_dropout.h,sha256=hC7uqZtaBfEBn02mCfEs1YZPjuEpOo6RaeQgHD6286s,981 +torch/include/ATen/ops/feature_alpha_dropout_compositeimplicitautograd_dispatch.h,sha256=Zh7Rcis7WPpgQySTDIHQCCX1AwNskH1EmBmvLhLYMQo,890 +torch/include/ATen/ops/feature_alpha_dropout_native.h,sha256=PvaBXtj42rw5kZUgyyD9Nvo2NU9RLYDy5YrOm4VesU8,613 +torch/include/ATen/ops/feature_alpha_dropout_ops.h,sha256=v4VRElDt16niN_4AW_n-40hdUKF0scweyOXFlx9Zh0s,1750 +torch/include/ATen/ops/feature_dropout.h,sha256=BIAhn7ApKp2sE2SPI-6FacgvOsHVrPl5Zg_tlxDG4NA,939 +torch/include/ATen/ops/feature_dropout_compositeimplicitautograd_dispatch.h,sha256=wkzqotHqspY7l-2e0WUj3yjHtVDBM9sobxIsjs31qR0,878 +torch/include/ATen/ops/feature_dropout_native.h,sha256=Es0z4dRf1a8mo3LR_b8be2-UoS6J0zgq_XjhDvuBP9o,601 +torch/include/ATen/ops/feature_dropout_ops.h,sha256=eENUR4g9IGXrZknNsXe-ET6qJHiZdQ-sxGQv19n9Iyw,1714 +torch/include/ATen/ops/fft_fft.h,sha256=F4ZLwYH9JvcOF8czX7xVHufAiXt_Tk-h1h8Ymv2J22Y,4936 +torch/include/ATen/ops/fft_fft2.h,sha256=bI3CmycastjT1-UvG0s_1LeHO_DYJ7X4nyu5urGX3Uk,5253 +torch/include/ATen/ops/fft_fft2_compositeimplicitautograd_dispatch.h,sha256=WC5sUaGXyKBDfySJ8aNiFSxvNzTyBEscc5CfqCJz7B0,1826 +torch/include/ATen/ops/fft_fft2_native.h,sha256=3BTu3vXjG1UzjflX28VUoyKQjAnJGs8v-MJC5wAKUtY,795 +torch/include/ATen/ops/fft_fft2_ops.h,sha256=4gx_04QabBzIUH5FuAgAQNPSy9rLnUHQ6ejbNY6ZESc,2224 +torch/include/ATen/ops/fft_fft_compositeimplicitautograd_dispatch.h,sha256=SVYeYdbBfq3eONr8tQ00osThdFCPqihk6qyUY2In17k,1749 +torch/include/ATen/ops/fft_fft_native.h,sha256=caHUNFfIed__8Y6ZcaC2mHLoQiTIBdg8-Ay5UFDnIRI,772 +torch/include/ATen/ops/fft_fft_ops.h,sha256=yfsuWW6tY7a-J6eE3m7kNZLzvM0WLB9tdcFosw2oXEs,2148 +torch/include/ATen/ops/fft_fftfreq.h,sha256=fBdqWJfm-Ur4den_QmnG5dW7R-uJy9mdSZD6mBO7wMI,1739 +torch/include/ATen/ops/fft_fftfreq_compositeexplicitautograd_dispatch.h,sha256=LkotQz4XY0M9uU7VnGYFHEqXkdEeHTD4qYi8QCfeekA,1154 +torch/include/ATen/ops/fft_fftfreq_native.h,sha256=MA_ViMTQ5di4lgwOtfoOstiXSXQ0kDyP_2W1JxeXjFY,720 +torch/include/ATen/ops/fft_fftfreq_ops.h,sha256=g_SRKId26ZchhLpCDv3dqGIX62HzQ8kDNiiB_GigJ-w,2084 +torch/include/ATen/ops/fft_fftn.h,sha256=nka-9cR9p0VKlXVMkYDMwdC9wvXQ6ZMFRizXm8Yhtk4,5377 +torch/include/ATen/ops/fft_fftn_compositeimplicitautograd_dispatch.h,sha256=Ajw7ud6tkutJ9DGq3ENaaeXvf6jojoKtNPQm6r8PBwE,1894 +torch/include/ATen/ops/fft_fftn_native.h,sha256=Uz62mQFTDDSR70SXOw_RMG3kEbfiIP339FHTmoGupmI,816 +torch/include/ATen/ops/fft_fftn_ops.h,sha256=odjDkpNwDKwJivm3EcN3qZEcfslinUoYiPeMmVKJllw,2268 +torch/include/ATen/ops/fft_fftshift.h,sha256=DTaV9u2rvp78i3j8PyZ5nBfMz8hQ0YOoxyRODS0T2dc,714 +torch/include/ATen/ops/fft_fftshift_compositeimplicitautograd_dispatch.h,sha256=9uppe9qNoIcfzdEikWi-NBMjMbFmr9KcioxhEDzff24,812 +torch/include/ATen/ops/fft_fftshift_native.h,sha256=05hRiDKapxXQjZFDCHkyeh_nUKGJQ90KpBHObfDqhOI,535 +torch/include/ATen/ops/fft_fftshift_ops.h,sha256=G5LiZIENrC6FLTPZDGg9vdp-wrrBdX4Uutj0vJG1Vf0,1086 +torch/include/ATen/ops/fft_hfft.h,sha256=3sGSHgdzGKXlJR7SPhXPabmzsbNrlAAlnIyyVQYO6b4,4967 +torch/include/ATen/ops/fft_hfft2.h,sha256=DkPLPmW7iYYwbIZW5NEGT43kPb5twyZ4vCjVFs-kHgQ,5380 +torch/include/ATen/ops/fft_hfft2_compositeimplicitautograd_dispatch.h,sha256=xouMFswxRv28mZoWY_RCZ7KwPgcuq9bT4ANfSIeWSHY,1880 +torch/include/ATen/ops/fft_hfft2_native.h,sha256=oR64tLw5aOSWv9MZlMUF1iJOAHAdoqD5AuFwvGoeIS4,809 +torch/include/ATen/ops/fft_hfft2_ops.h,sha256=46GuOnC4qDEHsBp_w-x2k_IVxc2KeCtXmHBzXUndOEk,2266 +torch/include/ATen/ops/fft_hfft_compositeimplicitautograd_dispatch.h,sha256=9ILE6B3taz75XVxz6JVB5XOpbuSHLsih42yTWo8c-Mg,1755 +torch/include/ATen/ops/fft_hfft_native.h,sha256=-3t2X_z7BRHytNZlCNZdP63pjOTgFRvusorBFKlR_cA,774 +torch/include/ATen/ops/fft_hfft_ops.h,sha256=BB4S6lMPVEq-BiuREr37qIfd16GZ0jvXr5bfkiNCAMg,2154 +torch/include/ATen/ops/fft_hfftn.h,sha256=LXJWJEkByd7cd04C5TJjEREhYe9NRkUU_TnRLfdqL6o,5504 +torch/include/ATen/ops/fft_hfftn_compositeimplicitautograd_dispatch.h,sha256=NSTp031q0kq-VwLY5fcXmCMWYYwbJ4TCgTsNyZBQrNo,1948 +torch/include/ATen/ops/fft_hfftn_native.h,sha256=zUGVKaWIALae4z5dbqKQZ3QzGOskuNxUY7HkkCC0BVo,830 +torch/include/ATen/ops/fft_hfftn_ops.h,sha256=Uxi2mH3X9UOnTAm5S5iadz9pL13G2Q1UJs2yA17f4YI,2310 +torch/include/ATen/ops/fft_ifft.h,sha256=2UE20t6RilIe3-Dlrsx2-hquKUHHol2nL-CpRGpfi2c,4967 +torch/include/ATen/ops/fft_ifft2.h,sha256=bmUnwWywyZdfILrkQjILZr_IoR-iEu7KMEa0Hy-o_iY,5284 +torch/include/ATen/ops/fft_ifft2_compositeimplicitautograd_dispatch.h,sha256=ImaLX0LGkJ_XnD3L0Jh9r9bA6rHW3PXiLg9osbL3hsc,1832 +torch/include/ATen/ops/fft_ifft2_native.h,sha256=pS0yIq0ZPPeJplomAQFZpJCzWNEvhjMcFdfIEF9fj58,797 +torch/include/ATen/ops/fft_ifft2_ops.h,sha256=CJk99Jp99DKX5eH9zvWsgjD5GNTaGO8cMfzV7vHqp5k,2230 +torch/include/ATen/ops/fft_ifft_compositeimplicitautograd_dispatch.h,sha256=ZKDrqaWJV_CQu_g6nlizyOStX65JBYCBi_oExxko4Fk,1755 +torch/include/ATen/ops/fft_ifft_native.h,sha256=tejNE-7YL1pdSP4thEQKI5hOaWmXQ_7eQRfmRB66AWg,774 +torch/include/ATen/ops/fft_ifft_ops.h,sha256=LVaXavIXEgdCEbC9CZ8f3DMrU_VEAfGyOVyIzOHf4gY,2154 +torch/include/ATen/ops/fft_ifftn.h,sha256=qtQY2Nl7ybrj7EMDXhw5iYysyA3a3sOZeEBOst2Ng3Y,5408 +torch/include/ATen/ops/fft_ifftn_compositeimplicitautograd_dispatch.h,sha256=WZS7CWwOO2IC-HSuQp5e8C7cdjkQYPNBon2naFqW7NM,1900 +torch/include/ATen/ops/fft_ifftn_native.h,sha256=UvQCmu9BIfFkBCT9s7Ji7dfz_uzLRwxMBvFLMV9UiT8,818 +torch/include/ATen/ops/fft_ifftn_ops.h,sha256=C5wGYrpMr57LssD1SvVE8GgG-jBVmAjdZoJ-LHSW-EI,2274 +torch/include/ATen/ops/fft_ifftshift.h,sha256=feecGiti54RQACk29MDW4Ta_dwOKTuxvxQwfKODsS5A,718 +torch/include/ATen/ops/fft_ifftshift_compositeimplicitautograd_dispatch.h,sha256=oOue9wuxsVY_7jpkgXmHfArRmOOvDP5dFsp4C7hpNbg,813 +torch/include/ATen/ops/fft_ifftshift_native.h,sha256=3uDMvWtswieUF6AexMqguuO7qMhBfHkgzZSUUWzk8f8,536 +torch/include/ATen/ops/fft_ifftshift_ops.h,sha256=_SuUBjaxmGlTcm_1J3VbmlaqRHNxoPY2mhp7kUBAhek,1089 +torch/include/ATen/ops/fft_ihfft.h,sha256=sjNG4gD_hQUDvKC6d7Y6UlFYuzPHHNEwb0qbIj1vukY,4998 +torch/include/ATen/ops/fft_ihfft2.h,sha256=gMDiIbvasyuOcrb7g0xDOUUrDqLcDpxnYBpnhctGess,5411 +torch/include/ATen/ops/fft_ihfft2_compositeimplicitautograd_dispatch.h,sha256=WiTPMvS17N4YIi56FU0hFniv5WAr0aGFRjmIbhxeN9g,1886 +torch/include/ATen/ops/fft_ihfft2_native.h,sha256=f-8TgReJopy4R7MiymV0QKg52qxl1w-v0cXflfDtnEw,811 +torch/include/ATen/ops/fft_ihfft2_ops.h,sha256=hJ9jSotMDq6NR20D067d14qAT5U0oZ3pmz3eW_NBfuY,2272 +torch/include/ATen/ops/fft_ihfft_compositeimplicitautograd_dispatch.h,sha256=S-TTGfzeKgmHiD5y4Rd8lqoQjFn7ED8ECZzPiEiSK-I,1761 +torch/include/ATen/ops/fft_ihfft_native.h,sha256=sSiGVMyu076wWnSdjAxNciCHG0kRMDVmQKEAo5-ThIQ,776 +torch/include/ATen/ops/fft_ihfft_ops.h,sha256=-pmD4NlK125LPHW_C_GLaJU5pAf5Kyln1DpKplVqQiM,2160 +torch/include/ATen/ops/fft_ihfftn.h,sha256=1O6TcjFAMwZdiN5YN2j-qg4NhN3VZhI1F5-pGQrr0hg,5535 +torch/include/ATen/ops/fft_ihfftn_compositeimplicitautograd_dispatch.h,sha256=9iyQcp2i3KxpzaCjYD52et_kib3b5pKcl6o6XvFaucQ,1954 +torch/include/ATen/ops/fft_ihfftn_native.h,sha256=FaAOT1LVhicKNFMBPPPaW90AuOs0C4l7W6jNdM1mtBs,832 +torch/include/ATen/ops/fft_ihfftn_ops.h,sha256=lo694QHFMmxhdiRnGqs5uFIrCweLxXnezmjd5D9KHvo,2316 +torch/include/ATen/ops/fft_irfft.h,sha256=WnkH8pKR_NR8qxchpkBPaT8OF3nmxGHcqC_tW9ZoK3g,4998 +torch/include/ATen/ops/fft_irfft2.h,sha256=Puwi00bsjoPyEXVe4Q3LHB5RUDgTACITXUsfuEsWphI,5315 +torch/include/ATen/ops/fft_irfft2_compositeimplicitautograd_dispatch.h,sha256=31CpheL-pWmYfAkq_-Xpcy3jA3UmJI-nJsBhX-pfICc,1838 +torch/include/ATen/ops/fft_irfft2_native.h,sha256=P6HV3OagQjSEq4qLr5n5GxK9pKg-n9z_XQdxvwjyw8s,799 +torch/include/ATen/ops/fft_irfft2_ops.h,sha256=RrA2Q1kxz8nFjjXVEY9Ti6rzuChod1G7aOd66USvye4,2236 +torch/include/ATen/ops/fft_irfft_compositeimplicitautograd_dispatch.h,sha256=qz0GsiH7b6sBjrINgP2LMAR0ak6MkzADM_EIba26JsE,1761 +torch/include/ATen/ops/fft_irfft_native.h,sha256=7Rz5j_w4PNzd9qz2gSmBRYCVrZSdmZYlP-DZvNKpWiQ,776 +torch/include/ATen/ops/fft_irfft_ops.h,sha256=DQ8EyPKMWRSXmtlVDpvYijm4J9cXK-iDEBYHrB-TztM,2160 +torch/include/ATen/ops/fft_irfftn.h,sha256=ZkpPZTRNFVUF3RHiy9YEkjDFjenrmBLhDzQt2pEqke8,5439 +torch/include/ATen/ops/fft_irfftn_compositeimplicitautograd_dispatch.h,sha256=Uf2hVCiOvbWL3kKvXbsB4Gy4cKrchck968oBRWel_GQ,1906 +torch/include/ATen/ops/fft_irfftn_native.h,sha256=sds96I2AbqhWbLUOBUx0m5ZKWnmAFzk20j0CJTeuW7E,820 +torch/include/ATen/ops/fft_irfftn_ops.h,sha256=Y1TzGDF3fAr6bLln6q_o69XifUM0457H8niFll-Hsy8,2280 +torch/include/ATen/ops/fft_rfft.h,sha256=N1W-0NPqJM8ZJOwEmnmMGFknORWke1-X80jTPqcwDkQ,4967 +torch/include/ATen/ops/fft_rfft2.h,sha256=VrMpdNCBZFBCGXK4HYG54IsqG2-eER14az2n3CjEXAI,5284 +torch/include/ATen/ops/fft_rfft2_compositeimplicitautograd_dispatch.h,sha256=aeW2pMaLk2oeukEVyP4N1bcaywRroTrFwOe20kBReS8,1832 +torch/include/ATen/ops/fft_rfft2_native.h,sha256=qUhM4H0Qdx-FL1RdbqSq5Y2rFtEu-av9pVRZ3PRyufE,797 +torch/include/ATen/ops/fft_rfft2_ops.h,sha256=1S78iO00yRMQOqPR4yI2zizXJTIBo-ikYCqCAHKrmfs,2230 +torch/include/ATen/ops/fft_rfft_compositeimplicitautograd_dispatch.h,sha256=lfY5UYdM4FUngLgrlue2WMcttPlnjFktyvyc2Ir-ByE,1755 +torch/include/ATen/ops/fft_rfft_native.h,sha256=bwTbPGLk6EftIOPHyd74lnQQIc-jOlBrk17g2s2f__w,774 +torch/include/ATen/ops/fft_rfft_ops.h,sha256=ZMCI9vfq63KihX--u4PuCOsx1CnrK_5AJa-6XGVgr60,2154 +torch/include/ATen/ops/fft_rfftfreq.h,sha256=aWLmO-wwqEjVhS0JkfWIIsJFb1fVpEqd2e853sX15MI,1752 +torch/include/ATen/ops/fft_rfftfreq_compositeexplicitautograd_dispatch.h,sha256=ddwWr_UXzszpC9HyuhS3viZela1QcjbytUctpzXQWOA,1158 +torch/include/ATen/ops/fft_rfftfreq_native.h,sha256=y9ZrRgq__vWkT3-1IkuGE9fZkQ90TmgYDdoiZF8rZYo,722 +torch/include/ATen/ops/fft_rfftfreq_ops.h,sha256=50GdBqHHVYgNPgiclgIqr8_crRuHl7PTOBGHgWoeSs4,2090 +torch/include/ATen/ops/fft_rfftn.h,sha256=BDt0s08glQa4lG95NAWOkpmV5z7Ies29oNSWWNXgDo8,5408 +torch/include/ATen/ops/fft_rfftn_compositeimplicitautograd_dispatch.h,sha256=W_-_xLqhq7RHqCjIjdjimRX9qPclE_-LVrYVF66V3nc,1900 +torch/include/ATen/ops/fft_rfftn_native.h,sha256=sUUiIT4VeeODpa1duXFyPqfGwYM7XpTO-beTBPSb-0o,818 +torch/include/ATen/ops/fft_rfftn_ops.h,sha256=kxTkDXDOVWA4SagLyVKZBGa_0wSvZzGM6ZFDccUbDMA,2274 +torch/include/ATen/ops/fill.h,sha256=3AbtoR-4xHvhkbKrRXi-T195XPZfySmzToMvKyZLTe8,2262 +torch/include/ATen/ops/fill_compositeexplicitautograd_dispatch.h,sha256=eeuep9t-XE5g9z8ucNeM8xG-hMLfQENipkzrpSfpbVU,1276 +torch/include/ATen/ops/fill_cpu_dispatch.h,sha256=OgPpV9sOfxOj71SpumrO9Yf_J8orp491V9q4mKuANlA,816 +torch/include/ATen/ops/fill_cuda_dispatch.h,sha256=GIEBMjK-q5Z3YlI48yA8Sn5WVL_tJiEcS7QfnWgTGLI,818 +torch/include/ATen/ops/fill_diagonal.h,sha256=WGV4xHfiQtwrhe2fkTCOvVUTXCyh_udliJYdPSgesy0,498 +torch/include/ATen/ops/fill_diagonal_compositeimplicitautograd_dispatch.h,sha256=IC_PggetcV9GrhMDYpV67jcqVCbgOJUrY3rWlBAvbDA,816 +torch/include/ATen/ops/fill_diagonal_native.h,sha256=nXiN_XRSMLsbIyLo2HaMr44-RkM5c5kIMKQG8PiA86w,539 +torch/include/ATen/ops/fill_diagonal_ops.h,sha256=SAs8QTwZ0z9GAs_MAeBJD_0FSbz8VfK9mA9FRmEVPwI,1133 +torch/include/ATen/ops/fill_meta_dispatch.h,sha256=PulYSplLtOtLRK9kRr8EoAnppi9xv_1qUW7YmR98Oyg,818 +torch/include/ATen/ops/fill_native.h,sha256=QoVIxmXzizUXFn9XYjxZONTBVZbxwKpSADHIjslvoDk,1537 +torch/include/ATen/ops/fill_ops.h,sha256=AjIKTBH9ovot4q726ucTKou1y1Os8GXtGVpzaVcte1c,4412 +torch/include/ATen/ops/fix.h,sha256=xb-fJEU7fZfz19RHWF8AqDUnfwSlXDJt7SjcbCR-FBM,1118 +torch/include/ATen/ops/fix_compositeimplicitautograd_dispatch.h,sha256=1rAxNUzvAbucElQo95oHWe1wygZVKF-WEyl_Pj12c-Q,960 +torch/include/ATen/ops/fix_native.h,sha256=HaI-xJtH4Y3tbgeacvCqjuSdre7OQ4BflMIrAB0GSmM,607 +torch/include/ATen/ops/fix_ops.h,sha256=lCmpWYwGNLDF4l7pqtDyxkO9Gtk0_hSCN1Z1YBYMgRc,2095 +torch/include/ATen/ops/flatten.h,sha256=hTd4I5F6zzdr2Nky0ARdifgf-lzXH8cF2ppEdIE0GGE,1628 +torch/include/ATen/ops/flatten_compositeimplicitautograd_dispatch.h,sha256=rm0Uvy4fOf8eOGuu-oQHmobX2FZOwNqV79yT4vUfVek,1136 +torch/include/ATen/ops/flatten_dense_tensors.h,sha256=ybiSEnQA9pNU269CBRgeelqLVcW3yzEmQAooevs3n0A,692 +torch/include/ATen/ops/flatten_dense_tensors_compositeimplicitautograd_dispatch.h,sha256=0lIlNllTecb53AhiJcPd97M7aH8sir5Y4rIEYtfZs7I,778 +torch/include/ATen/ops/flatten_dense_tensors_native.h,sha256=xQx8vXLXSG7h2WHmMx1PfSasdCkYDzpUbiL3w6bqK7E,501 +torch/include/ATen/ops/flatten_dense_tensors_ops.h,sha256=F0Bewv2ki-z6zI1VibH3U9HX49IaFq-kqTPu3QXtLR8,1011 +torch/include/ATen/ops/flatten_native.h,sha256=ByjDqnQTJzJEwuWmg6FOJY6DMveuDh9kzvPxhaseJdQ,859 +torch/include/ATen/ops/flatten_ops.h,sha256=PQrBHQVW921UmWGQ7N4494NXmxYbu6kmzU5l1Cn77BU,3429 +torch/include/ATen/ops/flip.h,sha256=HfPXPXoHoV1cvX-6DG8FzaBZwPZ9SKXwriUc6hQa5LE,1115 +torch/include/ATen/ops/flip_compositeexplicitautograd_dispatch.h,sha256=-r_AVB4zpyiBpa71S-Hbhx4tKU98SysKQpsHszhozP0,907 +torch/include/ATen/ops/flip_cpu_dispatch.h,sha256=lL16AEyy7O39BJk2Gq0UlEvRDYU97F-RfJRMQc0upa8,740 +torch/include/ATen/ops/flip_cuda_dispatch.h,sha256=WhurYoQcJKvC2LwKjm7EpRRo3WxRGSd2K7s8um6BNLc,742 +torch/include/ATen/ops/flip_native.h,sha256=REoMYghV0u5XHAofZ05fBeKhrTiJvHVyR4OlQMWg5tk,605 +torch/include/ATen/ops/flip_ops.h,sha256=cEM7ct1DHXkklKTn11nwEwkCteDx7ciCK8CbTIHt7qA,1724 +torch/include/ATen/ops/fliplr.h,sha256=sFeZSSwE8Ii3g47g91wd7bM-3pVGEo9igGwoBBwQJLI,625 +torch/include/ATen/ops/fliplr_compositeimplicitautograd_dispatch.h,sha256=9XV_gwYUMMmToJ3jz7Xt17O1Rq9U_ms2846qAHuoPOQ,764 +torch/include/ATen/ops/fliplr_native.h,sha256=2a8oQf47gFOCwYfd-55FVqJjVn6wByKlsBd7uE_LSbM,487 +torch/include/ATen/ops/fliplr_ops.h,sha256=PtMIEuYnpg-8O3a5I7WmsMue4vFjNi5H8txZ5CGCA74,967 +torch/include/ATen/ops/flipud.h,sha256=S4QMPSfyi1hR7r_LqM49Zobq8g-zrZoJ1odVGiV0IFI,625 +torch/include/ATen/ops/flipud_compositeimplicitautograd_dispatch.h,sha256=mbHibeplISZiLHUH_R0-CtytsxvIvnb4VoU4Lw1w7c0,764 +torch/include/ATen/ops/flipud_native.h,sha256=1TCIBL5W0nlVY8b6ycFroHroWGrZKYRCh9HEp-CwZMY,487 +torch/include/ATen/ops/flipud_ops.h,sha256=0AEMwOx3jDxlgizGygdHUlGRVCF8RMZ5j7urURRUbvU,967 +torch/include/ATen/ops/float_power.h,sha256=KQqMJSyjtjJbVDGVwZuZ59n2KMdKr2JqMJx1Hu25lLI,2919 +torch/include/ATen/ops/float_power_compositeimplicitautograd_dispatch.h,sha256=xMb7SNBUrwOKBn-DJ28syR1Vq7tEon-BaC-QtFAJO-g,1819 +torch/include/ATen/ops/float_power_native.h,sha256=4NaUgFb6OLXB7vvzkVmFfezlcoZfQaVN9z_Z1Tdqng8,1203 +torch/include/ATen/ops/float_power_ops.h,sha256=RBT5aLwP2qDm7UBlhu_KEJzKDI-vBEMaRLEzqBCNaPw,6093 +torch/include/ATen/ops/floor.h,sha256=ELZCjVIh50oZqL5AUdMCSJHI0GNK8nWNMGDe190eteY,1144 +torch/include/ATen/ops/floor_compositeexplicitautogradnonfunctional_dispatch.h,sha256=FSIm3qQRi1-5baZ2ID70SgUY0jQLlg2n2Iuz0erAj8k,839 +torch/include/ATen/ops/floor_cpu_dispatch.h,sha256=1HJEpSrpqg8gZcfcCCNZVhMiHclY0Zd5ihTTmGW6l6s,924 +torch/include/ATen/ops/floor_cuda_dispatch.h,sha256=ra0_yJwg-XznM-CY2zHiClZO4rosku8k3tZt62VEqh4,926 +torch/include/ATen/ops/floor_divide.h,sha256=L24NP8dQucGmKzK9fFyiiSXy7dEG87Gaz87N4v_xucE,1978 +torch/include/ATen/ops/floor_divide_compositeexplicitautograd_dispatch.h,sha256=v4JOo2ZeNw04rzype5BbY67n3Y4dVqvrlBUK8ZQLCDE,1100 +torch/include/ATen/ops/floor_divide_cpu_dispatch.h,sha256=Z3r0UdfFs-NFum3XuxIZ57rJCzG9LSPwJkzmla3p9tY,1056 +torch/include/ATen/ops/floor_divide_cuda_dispatch.h,sha256=4QOyX8Rh04IPkn6gYnB2fiTA_6OFMkjQ6XGkEBYXoe0,1058 +torch/include/ATen/ops/floor_divide_meta_dispatch.h,sha256=QilrJ8wT4vLGLraRxa7tU_j8fHqFZklIW2_3Vpa9u98,751 +torch/include/ATen/ops/floor_divide_native.h,sha256=PyKzdLMFxYgaL2Fb88HURcTqM0mM22mRTQNKuRT3swM,1306 +torch/include/ATen/ops/floor_divide_ops.h,sha256=qMuqqKKDDAJXi2VS8Sbjo-pBxOJBXasjN4-eQ9vJIKQ,4515 +torch/include/ATen/ops/floor_meta.h,sha256=G2Et1ZjIgDk12SiHgifEKUiJmjDcD361x9vSsyaniuw,585 +torch/include/ATen/ops/floor_meta_dispatch.h,sha256=Q0VTkuZDFb8pqAhmn8SrBhdf9wNGXhRyilLcb7nsZzo,926 +torch/include/ATen/ops/floor_native.h,sha256=Ofr7JeEojXDCWM-L0JLw9jL4ZgpysNH7OtUN0S9AIB4,1018 +torch/include/ATen/ops/floor_ops.h,sha256=XHBI3mxNLkfYTqoZqXt0g6Dy5uCFR3T76eigYDQqC_4,2113 +torch/include/ATen/ops/fmax.h,sha256=DOZntVVNdkyaq8NOG5FMV5uCXOMO5dq3NmmMPgc12VI,1136 +torch/include/ATen/ops/fmax_compositeexplicitautogradnonfunctional_dispatch.h,sha256=rYm_4zVW5tkQ6Z4ASegs8oV0rPCn9UmldA4B_EQpPDI,814 +torch/include/ATen/ops/fmax_cpu_dispatch.h,sha256=xC9MR5ByoXgZ9Od6ubz4U2UknfEudbmvsL_kYAgtKmY,949 +torch/include/ATen/ops/fmax_cuda_dispatch.h,sha256=Aqz3snnSr8Yc1S67AXDpNwR-bHePeaXWgH6tEHOV_Hk,951 +torch/include/ATen/ops/fmax_meta.h,sha256=3wMUSlYZQIczOIq77In26AV29BkVZThBgJg7zFEJ9SU,610 +torch/include/ATen/ops/fmax_meta_dispatch.h,sha256=DAKrhaUAbCZkXv5I4QfIZny8ccrC6ZR5EjPGgz1Ft1o,951 +torch/include/ATen/ops/fmax_native.h,sha256=C9Z49dIf8_7tdjEkOGfvQQk9TO6GOQlvPaokJt_CFCE,627 +torch/include/ATen/ops/fmax_ops.h,sha256=O8VSpLQgambLeo_QjsXQfHMs7ZSgOVxSHYjPtIPDPfI,1750 +torch/include/ATen/ops/fmin.h,sha256=BE0gH38me3n8pVpefiH_-WqmGuYuLieTmKST9yvv5aE,1136 +torch/include/ATen/ops/fmin_compositeexplicitautogradnonfunctional_dispatch.h,sha256=tghe8Z72h6NhcS1me_RIjXKsmXBh3xa4auY1hON-pLM,814 +torch/include/ATen/ops/fmin_cpu_dispatch.h,sha256=guGGZ-3PCXFQGd8jZ2P0giHgurCwJSWt6A1IhExwtYQ,949 +torch/include/ATen/ops/fmin_cuda_dispatch.h,sha256=Sbk0kGzsBHYoI3fprtA29pCk3H4-bA9CfFSFPBhErlk,951 +torch/include/ATen/ops/fmin_meta.h,sha256=lDcujGjuiQIuafeeXiYf_k1xayRoEmtnjdsAhZGXsFY,610 +torch/include/ATen/ops/fmin_meta_dispatch.h,sha256=G0x71CFiMKa5IQL_XM0aUvTvchZ33rpbqP5GUVbk-Ws,951 +torch/include/ATen/ops/fmin_native.h,sha256=lQrdW0kAOfRmxfnNnlx7ppIMNvNFMdEHbtrVoaiiFKk,627 +torch/include/ATen/ops/fmin_ops.h,sha256=wSZRYUccj_OmgrHhQQsVfxsoFXJ4JZW1KFyVjIxtGMQ,1750 +torch/include/ATen/ops/fmod.h,sha256=1Kt7QbfHQmGxYWRzLWT9JPBR2zi-GaZnpxM4_1xc-Ik,1868 +torch/include/ATen/ops/fmod_compositeexplicitautograd_dispatch.h,sha256=251IW6ZRK6qalybZGy_y90lhXwb0S9bM-7ftj3eU_-s,1068 +torch/include/ATen/ops/fmod_compositeexplicitautogradnonfunctional_dispatch.h,sha256=5F5_7nBrp4Uz4mC5vP3MU7of7dy7rr0ZQWpJinlSHVI,889 +torch/include/ATen/ops/fmod_cpu_dispatch.h,sha256=pJsiXx87F2cIOTeJXt52oXY3Fst3qiPrwcs5dHUKYvw,1024 +torch/include/ATen/ops/fmod_cuda_dispatch.h,sha256=E8aPSaegD2ja82Mani5LuyyjBuFdtv23eb9xN9cIu_A,1026 +torch/include/ATen/ops/fmod_meta.h,sha256=Wuc7ME6GaNMjoEGX7jSjmIdKYfwR_2zC9n4zAZ-hR6w,617 +torch/include/ATen/ops/fmod_meta_dispatch.h,sha256=4kze2hOScbx16l4wxC4VIjGlH9wsDVGIIzquxpzlrP0,1026 +torch/include/ATen/ops/fmod_native.h,sha256=tzuwt7QPzFR4Pyhcc2KDdGtaiddNN5w7tkfjZ72d4q4,889 +torch/include/ATen/ops/fmod_ops.h,sha256=mYp3x0sUoKSO3S-HC6mfl0ZREOVgWkZPuc0N4LMM1EA,4412 +torch/include/ATen/ops/frac.h,sha256=_qI7sNB2vScIEMC1LTQVZci2oMFnT5YGHvBeXQkpH9c,1131 +torch/include/ATen/ops/frac_compositeexplicitautogradnonfunctional_dispatch.h,sha256=W2V1FuAyQb8zcEn4avkmF3ud0GpTANgaosSqk8cio3Y,837 +torch/include/ATen/ops/frac_cpu_dispatch.h,sha256=gNULicNZORnxMkYnnGxYwWLv1rrk61j5eFx1bn171MQ,920 +torch/include/ATen/ops/frac_cuda_dispatch.h,sha256=19Mv27gfEZmjJfOyGx7Kx01XrKVwHGjcEfK0jUCbAWc,922 +torch/include/ATen/ops/frac_meta.h,sha256=jrVoCHhcTSx81IJ2IREPfwUgg3TrfJq2j4EksbAk2E4,584 +torch/include/ATen/ops/frac_meta_dispatch.h,sha256=qqFSiVycZ_nbQw2XZ1o01fXIVG-JvTS39K7YJN197fo,922 +torch/include/ATen/ops/frac_native.h,sha256=B84gFQbQyY_a-_YBeUtGSMi_WT2N18y3I3JdFGzUx4U,1009 +torch/include/ATen/ops/frac_ops.h,sha256=t28YiOy2C-VCJDBWRri3bSViyNt7Q80l9KlUk1X72wI,2104 +torch/include/ATen/ops/fractional_max_pool2d.h,sha256=ljv3F1IsKVitk2g3pf8PkCZo1YDalGWkR5QEuIRYVbw,2008 +torch/include/ATen/ops/fractional_max_pool2d_backward.h,sha256=m7u_rn9xOHWqNJj7ZbuSROZTNUKXuo6GtrcuiWu0CNc,2051 +torch/include/ATen/ops/fractional_max_pool2d_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=D7Fq_HvtOmaZNO-JmS8zMAaKmGTg-nhPE_QATnmy4BY,932 +torch/include/ATen/ops/fractional_max_pool2d_backward_cpu_dispatch.h,sha256=F8V1UiuYn8eLLp8-Z4VqUXkgy7ZP7fhNUKK3iDijiDg,1317 +torch/include/ATen/ops/fractional_max_pool2d_backward_cuda_dispatch.h,sha256=z4iHw57ZlWA8l44p9B0z2g2Msyofddy2TOW5mf3NnDo,1319 +torch/include/ATen/ops/fractional_max_pool2d_backward_meta.h,sha256=m4bLB0nrKPB4EezYeVRxL4us2oemIdLTHiCaz7q0vho,728 +torch/include/ATen/ops/fractional_max_pool2d_backward_meta_dispatch.h,sha256=Mx_5XZRVJ1m5StO2p5rVK9D_zyprPb2OC8m2qlr6428,1319 +torch/include/ATen/ops/fractional_max_pool2d_backward_native.h,sha256=GIzmrrMww3r9zN_fnO0MlCXRNiqDLBSIuxYKo7nLcmU,1119 +torch/include/ATen/ops/fractional_max_pool2d_backward_ops.h,sha256=Ht1qL5r-i0FliHmA7jtPYgtMqRHUxqzY7EyQJx7FSKY,2548 +torch/include/ATen/ops/fractional_max_pool2d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=iRQhoaCx7-QyzYW6Lv93EwBwVEDmqxNEd33AEWlCe9s,923 +torch/include/ATen/ops/fractional_max_pool2d_cpu_dispatch.h,sha256=YPDvgDmFvmY7yrfo7zqELDAWB5j5rnlXisfSn2pNj4E,1330 +torch/include/ATen/ops/fractional_max_pool2d_cuda_dispatch.h,sha256=lDcDU4Bj8JkJF8aIYbYMWR8koVjxWVulMtlWFaEMxX4,1332 +torch/include/ATen/ops/fractional_max_pool2d_meta.h,sha256=_eMRcos1mAJrgJaWkbQCz_mCOeCMOlGjkfdwzYiI3Cs,694 +torch/include/ATen/ops/fractional_max_pool2d_meta_dispatch.h,sha256=958iJSudzKBpARsyJZ2Sdpiv3ckBa-cwGu39qcMyxFU,1332 +torch/include/ATen/ops/fractional_max_pool2d_native.h,sha256=VpXIGc44kux4X-bBLKLDsHkpbc0_07YnoYPmfpqE4b4,1080 +torch/include/ATen/ops/fractional_max_pool2d_ops.h,sha256=-6NSekqohHDEBj3E2vMa8Tdlg39ALvIHQ1jsk8uKCac,2562 +torch/include/ATen/ops/fractional_max_pool3d.h,sha256=5ryoM8srsrbwqfLgKkCB347i7n8hP5I5s21Tn45CiiU,2008 +torch/include/ATen/ops/fractional_max_pool3d_backward.h,sha256=pk3UhEOyj6ySbenymHEADp9pzsC8K2b8hAwEqUd_XPI,2051 +torch/include/ATen/ops/fractional_max_pool3d_backward_cpu_dispatch.h,sha256=DzmYqWlyLGQ56bt6q1LB0gu7UUVOM4I6_fMT5ZxZjqw,1317 +torch/include/ATen/ops/fractional_max_pool3d_backward_cuda_dispatch.h,sha256=YWehyENpjOCpl53WCN_LQ2tefhMdNYnCkqnpL9kXFyg,1319 +torch/include/ATen/ops/fractional_max_pool3d_backward_native.h,sha256=fCF4EsBu0XsiNvCPNybROrONqf4kV3lPF9NIP5TaSu8,1297 +torch/include/ATen/ops/fractional_max_pool3d_backward_ops.h,sha256=3PLVYp2ZAvfFTcKOSZmD1liq767msfIFOlI14P2Cglw,2548 +torch/include/ATen/ops/fractional_max_pool3d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=Df3mXbR3ZSkyBn_po-aw0S_klTBtq6W6cL7XuQsjO10,923 +torch/include/ATen/ops/fractional_max_pool3d_cpu_dispatch.h,sha256=5XSp9ULXOMzUcXdZhognO_kylqK4rJ7uqLqoO0JTrgA,1330 +torch/include/ATen/ops/fractional_max_pool3d_cuda_dispatch.h,sha256=XF2IigJH3aePEw4MLmQvrel4zghnJc52O-F5lZZxi-E,1332 +torch/include/ATen/ops/fractional_max_pool3d_meta.h,sha256=-yxPj2ortCd21r4iC3PF-gbfZ2lH3WoGzT78aktOmnk,9818 +torch/include/ATen/ops/fractional_max_pool3d_meta_dispatch.h,sha256=_AlLnae2SvCij3j5DPZQ0a3_GuxGh_BtKrr4bVBtaxs,1332 +torch/include/ATen/ops/fractional_max_pool3d_native.h,sha256=IHxpU_w66ypzvThzOjfEy0Z8Tn6f94i3hLvh8btuID8,1350 +torch/include/ATen/ops/fractional_max_pool3d_ops.h,sha256=zpgaUGkcDQ6kxduMN2knZc-AHsCRfJcYmKccjFAKi2g,2562 +torch/include/ATen/ops/frexp.h,sha256=s__5IoEYNDbbJqzLi9atKF9KFFZvRey2PvWzYLJPD2Y,1356 +torch/include/ATen/ops/frexp_compositeexplicitautograd_dispatch.h,sha256=C5T-EyKRo4gmsuvd-iuV2vgx9Ja-Y_aE_Csd5VE5m4k,788 +torch/include/ATen/ops/frexp_cpu_dispatch.h,sha256=AgQXoTT3yVNRYAFBAT62HBou_K9BHfutH_1lVLkGvmk,931 +torch/include/ATen/ops/frexp_cuda_dispatch.h,sha256=8St131-MWHi5P3PMunUH2wXjpgCEbcawIzPduqZvQYs,933 +torch/include/ATen/ops/frexp_native.h,sha256=tS-OEBJ1ahLhx6j08yxIUqL_ep3KNyXQkfx53HeuE3o,643 +torch/include/ATen/ops/frexp_ops.h,sha256=ALC97KfwOW9vdr95BLjCPxzO3QjcEq2CvJC0v1fRtmQ,1937 +torch/include/ATen/ops/frobenius_norm.h,sha256=bSjI4gW_4IXLHnM2Qi2YGsgJzeYoFxm3xjhwlDX2p0M,1358 +torch/include/ATen/ops/frobenius_norm_compositeimplicitautograd_dispatch.h,sha256=Vplafky-TGtQHN_wEUvSKvkm-kTjOI8s7J07QLQHaDQ,1062 +torch/include/ATen/ops/frobenius_norm_native.h,sha256=ybeNTzSZPVAr--clyv_mn_mcOLQweQGyjLYf4-8thpI,657 +torch/include/ATen/ops/frobenius_norm_ops.h,sha256=AvnFASOYEQJoqNmYP64uS5WKe0Q9iIlydEG5YOXmTAE,1899 +torch/include/ATen/ops/from_blob.h,sha256=Qk899vFxUI1XwKafqmrgdITv7sshAT20Yfi8eT0LBzg,4194 +torch/include/ATen/ops/from_file.h,sha256=9lWYFkxXkIv04UIDe37PnR7_dLN5CMv8egVfNaP_rQY,2163 +torch/include/ATen/ops/from_file_compositeexplicitautograd_dispatch.h,sha256=m_-WbV5WEBZkkSfz66_xRsOgl75KvfFJYoBnOgXitUk,1006 +torch/include/ATen/ops/from_file_cpu_dispatch.h,sha256=PvHaFacUDyxQ4PfHMzgp2KvWK7E0JKwXVNT8CZB0tLM,1080 +torch/include/ATen/ops/from_file_native.h,sha256=O4wOPXND0xbCBcn7qFeroa-kG-mLj1r6qCJcds84t2I,853 +torch/include/ATen/ops/from_file_ops.h,sha256=gZtrR_scmAZuvwMZd1VZIzY84QFWUlzmRXjLjKyOacE,2468 +torch/include/ATen/ops/full.h,sha256=DTWp78SJ69T6scIacCTWYAx-0dWnnqpK7uFRaKBMKto,7872 +torch/include/ATen/ops/full_compositeexplicitautograd_dispatch.h,sha256=lJ9FN6kr7Wd3FpeOQO_Pgn8fzYk2EdvUL5TnpfqHJ7E,2514 +torch/include/ATen/ops/full_like.h,sha256=MDAZ_d_O3K7lUP0KESMDFgnVdxm8t6upTLCiIrnscnY,2419 +torch/include/ATen/ops/full_like_compositeexplicitautograd_dispatch.h,sha256=k3PmuJhDVD0RZg3sHdGIgolZeCIv8i8xWl7X8E5dsXY,1492 +torch/include/ATen/ops/full_like_native.h,sha256=A-WFqr08X6ZlArtqAx96_cIMuSSsjhjqHNba9aBDTXk,889 +torch/include/ATen/ops/full_like_ops.h,sha256=6MfKUg6-qKnw4LhMnk7A2rBsBk1_CJ1OsjCGciowvX4,2604 +torch/include/ATen/ops/full_native.h,sha256=g6P3JwfIzJvO_zhuiRf5EeFb4D1AokJIhuIB7bk3UTU,1181 +torch/include/ATen/ops/full_ops.h,sha256=tXQgFxLCNA4l-ArVsYmyrhLgIRnPrdfCH56ou7rWVHk,4347 +torch/include/ATen/ops/fused_moving_avg_obs_fake_quant.h,sha256=glU4sLkVuBun_sJ8czFdehDWKjB-_huOH4GMg4Fs-l8,1440 +torch/include/ATen/ops/fused_moving_avg_obs_fake_quant_compositeimplicitautograd_dispatch.h,sha256=XFqA-I8sGlLALfDNmDK3A2M13mx729qZA-RwCh95_Lo,1090 +torch/include/ATen/ops/fused_moving_avg_obs_fake_quant_native.h,sha256=2n2PxRP1iq9ti4TXHHjwt3dQRCtAim06Yw4lpBxVdIU,813 +torch/include/ATen/ops/fused_moving_avg_obs_fake_quant_ops.h,sha256=BakBxOPq2_b-wDUWfhA0ZPrVewSgjNxhkdHD5rxBbeY,2019 +torch/include/ATen/ops/gather.h,sha256=rtGeeWU__CxEcn2nmbHt8Req-EM6R0qGYV_rwWYUc-o,2416 +torch/include/ATen/ops/gather_backward.h,sha256=0LLlJH6doW61iwDPzjTGl_yQ1ccgSDr6lvqoYqQ4Otc,828 +torch/include/ATen/ops/gather_backward_compositeimplicitautograd_dispatch.h,sha256=RgBHAj_gl1r5mQeI7NFnyIVpwmngidmOrXQVqm9dTxM,855 +torch/include/ATen/ops/gather_backward_native.h,sha256=RxqQsbg33rrlJXaiBMbwlLogCa5QuUgo3PrKA7M2O1o,578 +torch/include/ATen/ops/gather_backward_ops.h,sha256=LswmtEQfl8ilD3cq0p-bjkev30T6mg2iFi0SCOVugw0,1267 +torch/include/ATen/ops/gather_compositeexplicitautogradnonfunctional_dispatch.h,sha256=-ErXazNAujTIXpCCEuJwv92j1FwaEo1Inge9rqAP5O8,853 +torch/include/ATen/ops/gather_compositeimplicitautograd_dispatch.h,sha256=3xQOOuztKR3h5rAEFkB2__OoIHwIsEQWU24eAwOhoS4,1116 +torch/include/ATen/ops/gather_cpu_dispatch.h,sha256=iktZfREucwqpg7QzlrKHc3qnrccMdxt9Vz7lU_X90Ao,1060 +torch/include/ATen/ops/gather_cuda_dispatch.h,sha256=8ZAxgji8Dnl1NvdRxbs_HZnwFrkAG6LuZc4Qs1nrWD4,1062 +torch/include/ATen/ops/gather_meta.h,sha256=FDjUgAjpgJpgEnDUVAz32x-0oKIlUGxcPOLvjwnDLZI,643 +torch/include/ATen/ops/gather_meta_dispatch.h,sha256=UrzpQw1xHVUL8caKQVTHH1RB25UTWqhFipEDQ3_kqKQ,1062 +torch/include/ATen/ops/gather_native.h,sha256=6dRaq_gGi7u_PZVsA1GH4QfsCXvUE0HQpNQuzvCYo-g,924 +torch/include/ATen/ops/gather_ops.h,sha256=EdGa_OY3Q7WqxtCkyxtStjVcNd0cloomyvqsoTxb88A,3615 +torch/include/ATen/ops/gcd.h,sha256=5o4uFWk_sp3YqOLQNH3K_M7oxkFKWSdkmkSCIY79DJk,1306 +torch/include/ATen/ops/gcd_compositeexplicitautogradnonfunctional_dispatch.h,sha256=oYwr05ANpnT363tYor-dPh5OFXFoUrSiDAV91MAtGIA,887 +torch/include/ATen/ops/gcd_cpu_dispatch.h,sha256=l4YAY3lA9xO4eVQeROYHO8xm4Z6hnzi38B6ij_lj-tU,1020 +torch/include/ATen/ops/gcd_cuda_dispatch.h,sha256=zjshszA5noT6rIeVL_-kYsFT02KiQbBIfJ4nMykq6c8,1022 +torch/include/ATen/ops/gcd_meta.h,sha256=Pyhmz4r9F99tGaplVAHbnrHqQ6_s3rUE6Hz6dMyHq9A,609 +torch/include/ATen/ops/gcd_meta_dispatch.h,sha256=9kvofJJIPymWLcuVdyQTph15kr7Xcf0EBojR-aivgCg,1022 +torch/include/ATen/ops/gcd_native.h,sha256=5QrOeiMr5NVUu9b6qDz54Op2uFLjSkDTK-irOBmslmg,624 +torch/include/ATen/ops/gcd_ops.h,sha256=cjMxuU45a20Ugxq2FPKawzxkCRpStfc4tFNu_Lw8GdM,2353 +torch/include/ATen/ops/ge.h,sha256=qBF0uMpkPE2oa7_eOe7IQHsU-mXnkPZI_XwIxcUmLts,1830 +torch/include/ATen/ops/ge_compositeexplicitautogradnonfunctional_dispatch.h,sha256=cjmE8YjUbKJr2qoetaOOZa-m5kl9obt-pNmJdmaIm28,1034 +torch/include/ATen/ops/ge_cpu_dispatch.h,sha256=tRMpQFauiFzmEMU_eyMXuxGSyQGdwmcd_ciWApQZMnQ,1366 +torch/include/ATen/ops/ge_cuda_dispatch.h,sha256=WpJp8XvQMVCmi0C-V_gLxRGkKfFfqW4ff8CAJkc19Ok,1368 +torch/include/ATen/ops/ge_meta.h,sha256=AxAz0gU1CxuHk1L92BzziVs53B0l1nlRtDJm4EVZzw4,762 +torch/include/ATen/ops/ge_meta_dispatch.h,sha256=CvQK0S14D2zdUH7i4-fsQiOrIYFUcG2Hs6xrjzfDSLs,1368 +torch/include/ATen/ops/ge_native.h,sha256=bHGLMRE9dhe3shNQ5sZwjVWU-EsrPYnGejCwqDAi3ZI,1306 +torch/include/ATen/ops/ge_ops.h,sha256=jZNR4gkcrVjJCGC8vDbj32EiR26frKmIlGbxGjg9sq4,4376 +torch/include/ATen/ops/gelu.h,sha256=o_PfwT3X96pxz4E1Snflw58SBCZNHP34Ey1bP9I_P3A,1426 +torch/include/ATen/ops/gelu_backward.h,sha256=_FlEGY1Bt0-CZVYWaJ6g8krJozTWLHc1JeXKhSGqCKc,1568 +torch/include/ATen/ops/gelu_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=LidVJsBV89MRQr3-axMjIZsLSlqtgRZAHntThFq8Q3g,866 +torch/include/ATen/ops/gelu_backward_cpu_dispatch.h,sha256=s3vhJTpyR2vxSRSiTK_Rm7UP9PFMP0P_6_OBimi3WW0,1112 +torch/include/ATen/ops/gelu_backward_cuda_dispatch.h,sha256=k_NUWbnYLchjNuqtoG2Sfp3nQztbT7vc3SosGypmcG0,1114 +torch/include/ATen/ops/gelu_backward_meta.h,sha256=jdOvRDCPTOeYMIUyJXhkyKAGfMd-a96PSCwASiPD7sM,655 +torch/include/ATen/ops/gelu_backward_meta_dispatch.h,sha256=85Piox3vP6LC_9ZdrLu9ZNBC77VqyBE2gYi3IQ8Z7E4,1114 +torch/include/ATen/ops/gelu_backward_native.h,sha256=rpkNTKtqa9LSLHlLkTPL0EZhJiA6g1kvIqBpn2yUt4U,1205 +torch/include/ATen/ops/gelu_backward_ops.h,sha256=TkSG-ntI2ddeVEZ5zxDLf-ECmlUORpxS2u8m3DyUfFw,2089 +torch/include/ATen/ops/gelu_compositeexplicitautogradnonfunctional_dispatch.h,sha256=eLvTVbIYed1-qTh8AdWPZ96wGZRm-sWy3zmc_BRBx0c,911 +torch/include/ATen/ops/gelu_cpu_dispatch.h,sha256=FZXTnR5XNKvMoV-RDTWezdASU2cKU2z4w7DEhy8S9qQ,1061 +torch/include/ATen/ops/gelu_cuda_dispatch.h,sha256=AZmXiQ0RjUhtnv_KIoDA1DKqh8kEy3BOCblP73l09_c,1063 +torch/include/ATen/ops/gelu_meta.h,sha256=HLKy7OtQkPm4YxHDO0sVsD3NCiAWLGUTreDsxnXdsbI,614 +torch/include/ATen/ops/gelu_meta_dispatch.h,sha256=JFOhpdjAQkT_e7FEnHbujceWux7UHLHPuMA8H3ue83A,1063 +torch/include/ATen/ops/gelu_native.h,sha256=I99_GBq9QhIPp9okwvAQ9AYk4mz3bxteBEY0lfNckGg,1311 +torch/include/ATen/ops/gelu_ops.h,sha256=jcv8wIbypkRCALP6kBMEXrE1xF-E7M2oFKahCrC_63o,2416 +torch/include/ATen/ops/geometric.h,sha256=oKMZ6DLGzT-peJCz28tBwmr0OxLl-Jx56utAdRklSlk,1374 +torch/include/ATen/ops/geometric_compositeexplicitautograd_dispatch.h,sha256=LAMCdh3tayskneSjtzuMnn9dOP60ITlF79-fGmlnRwM,1106 +torch/include/ATen/ops/geometric_cpu_dispatch.h,sha256=Z8K3c2XaKRpGUi4O56fqJVzMewMxZ0_49kat0ont5OI,783 +torch/include/ATen/ops/geometric_cuda_dispatch.h,sha256=eO-ra0e8vT27M_ikL-S19kqlKRk9qAxRuhKVhC5gTAc,785 +torch/include/ATen/ops/geometric_meta_dispatch.h,sha256=b1fjiEI4CiJzOdjtwVrwCO_0VmXqoWMwmj-Igu1RZwg,785 +torch/include/ATen/ops/geometric_native.h,sha256=EDDwWauLAz3mX-ZVLb8_qcOmkufnOehyuTXJXXAV2tA,801 +torch/include/ATen/ops/geometric_ops.h,sha256=Sr53kn_VWl_Ek82_kuTSKVVunqmkhBp2-IXEOH_EJUU,2677 +torch/include/ATen/ops/geqrf.h,sha256=KNOGNwvu1p2baivRbldQKIK-gKWTqLqDh8OZixM1Ax4,1198 +torch/include/ATen/ops/geqrf_cpu_dispatch.h,sha256=MnTJuO9R1jrWbFLy79DU4MIAXQXgFvmr8cSHQWsoNkQ,985 +torch/include/ATen/ops/geqrf_cuda_dispatch.h,sha256=WQip14-Uo9guM7oBv7vdJsptgdJ1nbf99KMgo07ItYU,987 +torch/include/ATen/ops/geqrf_native.h,sha256=vMc_ZdQSL20pniiisAgir5qL17FNzaeYwNkD57gm5tU,631 +torch/include/ATen/ops/geqrf_ops.h,sha256=pM37zThjjJLd7PMfwuzvx9nKUNeEXPSoDB62-K6sET0,1830 +torch/include/ATen/ops/ger.h,sha256=AxZD9ZTsrn2P1X-rPrDKPvW-HRuy03IxmAsFC7YMnr4,1117 +torch/include/ATen/ops/ger_compositeimplicitautograd_dispatch.h,sha256=y2TnESZk-XQq0Puu_XfqIxCW8LQ8T0yZor9bL-vYC3E,987 +torch/include/ATen/ops/ger_native.h,sha256=e42lXzzHG9k4irOznudfFb20VbLbcVQJ5IVxVHS0emA,609 +torch/include/ATen/ops/ger_ops.h,sha256=JiSjkYG7eqLEvo5RtLTENFaVoq3yI51tzOJLxswMJrA,1738 +torch/include/ATen/ops/glu.h,sha256=5m7FaJs9Ms9IjGPKYfKpZ_l18NPgT3pukwBprRYSYjc,1081 +torch/include/ATen/ops/glu_backward.h,sha256=6dPSW1ei0AAl2jI7fIxtfugH72glsFnxAmOTTKIxO7k,1421 +torch/include/ATen/ops/glu_backward_cpu_dispatch.h,sha256=lQ4iPRYT1IvRyy_f06PnowzyH8oqxKhgyBPFO-AWGjo,1044 +torch/include/ATen/ops/glu_backward_cuda_dispatch.h,sha256=ElFssOj8pVG168yy0E8uiyTUFDWI9hGuWIk9koiH1AE,1046 +torch/include/ATen/ops/glu_backward_jvp.h,sha256=YhvquPF2S9JTIqYCZchXHSrtirgpU90eBeGu7jQU_bY,1778 +torch/include/ATen/ops/glu_backward_jvp_compositeexplicitautograd_dispatch.h,sha256=YarW-uwH0b0Ejr6MYuGMQVRgvg92VO0Y2cuFeCr-oWE,1125 +torch/include/ATen/ops/glu_backward_jvp_cpu_dispatch.h,sha256=Uo4n8sIPyTkP1BABdijnJXlCIkixZlS90aeVg9lYGyE,849 +torch/include/ATen/ops/glu_backward_jvp_cuda_dispatch.h,sha256=kTS7w4HjDPgtHfCRyPae5Bas41-DCaQ40XQsYt2k5Io,851 +torch/include/ATen/ops/glu_backward_jvp_native.h,sha256=yTE3dHdzoWpcXOKysWpbWZj1cQy38XUw6GL-KXLAsWI,823 +torch/include/ATen/ops/glu_backward_jvp_ops.h,sha256=78VafEYwVaCZQSn7Ru3yc1oUbkuubAHvuAgU5UQurps,2438 +torch/include/ATen/ops/glu_backward_native.h,sha256=a31uCulmt2euBrwUkgX7_VT2orGeyDovNSnsJHxs4bQ,933 +torch/include/ATen/ops/glu_backward_ops.h,sha256=XG0-W9vZqA6XHuGLOjahZB0ux9GLStEE9OM1fFr_pYs,1964 +torch/include/ATen/ops/glu_compositeexplicitautogradnonfunctional_dispatch.h,sha256=uYoGBVMBtBeSUbmPmOaInltz-sUUTCkVJAOK0u56tC0,803 +torch/include/ATen/ops/glu_cpu_dispatch.h,sha256=crP-5fbYrSPl3-M_poyyfcflvxmAHKYvAv21WZoDSLc,913 +torch/include/ATen/ops/glu_cuda_dispatch.h,sha256=l1TPcyaWIMpbNf8mPbeATW_FComn246sWixL6Fal-YE,915 +torch/include/ATen/ops/glu_jvp.h,sha256=wy0KOIDQFk58Do2nAXXaeWYLS0PmfQYXA3hz24h86hM,1316 +torch/include/ATen/ops/glu_jvp_compositeexplicitautograd_dispatch.h,sha256=k_lw9-e2cU3fU2gtT7T6Ks1ICKswtwxGlnAd0fRCdLc,983 +torch/include/ATen/ops/glu_jvp_cpu_dispatch.h,sha256=CNgzSjRKNFmB-qot4tuHWPzgzv-NPDmHh5EncwoQCmY,778 +torch/include/ATen/ops/glu_jvp_cuda_dispatch.h,sha256=E3eGmMAoXJBHHQM9R6O-i5mJxfvTmVsFQ2yRQobwv-g,780 +torch/include/ATen/ops/glu_jvp_native.h,sha256=D6MUD5GvRXfNs5fRUnEDP7y8UfnFtHJfOS8EYeWrH5Q,681 +torch/include/ATen/ops/glu_jvp_ops.h,sha256=lBK0hhzYwIM8w22sr2s5KNseYwG0aQNvPcn1vd6lH3A,1980 +torch/include/ATen/ops/glu_meta.h,sha256=9JcmH5oo0MrMcfJZn4Y03rkI1f-oxXBIzGldVMPHkT8,596 +torch/include/ATen/ops/glu_meta_dispatch.h,sha256=Xwf774Ourowh70eqFz9gBQP0VdSoCJ4xAG5OYR1VqOM,915 +torch/include/ATen/ops/glu_native.h,sha256=-8LxErNztAcsitB71eRgIa2BrSUnpIoqI27WuCY5d1Y,611 +torch/include/ATen/ops/glu_ops.h,sha256=fYbX9FWhQenJNLIBMFkQ1K2uEVtnQrg7LjmYFB-LEGs,1666 +torch/include/ATen/ops/gradient.h,sha256=F3YnsSSCSOP24ykfQowApYVSpzDbHZE0lHlzPTNF2QA,2844 +torch/include/ATen/ops/gradient_compositeimplicitautograd_dispatch.h,sha256=JA31DwgVLXRiobvy6e8eE_MCVIdV8tv6jEsCvAdH7vY,1768 +torch/include/ATen/ops/gradient_native.h,sha256=qOevmTtJPWODbm2YZ3WWkoa7UYi7ixOOcJs7d66-EIc,1491 +torch/include/ATen/ops/gradient_ops.h,sha256=rGMwYjejtCT9gennPIYm1xwP42-HRo5EEfS-2mtNIEI,6456 +torch/include/ATen/ops/greater.h,sha256=giYL0CSsI32g8n8JzNm_yAc_IFtZCkgYMQ9l4emJJWg,1925 +torch/include/ATen/ops/greater_compositeimplicitautograd_dispatch.h,sha256=lbKvwzKcV77BSoYL8-6um4kdEKKIRWCAWz7fK4PWVjs,1450 +torch/include/ATen/ops/greater_equal.h,sha256=OBcwAiuMx49_5_92P1GXHmTzGz7PvKEGRplFryB8AaU,2039 +torch/include/ATen/ops/greater_equal_compositeimplicitautograd_dispatch.h,sha256=5PVSe4ZwHrBnH65M_m1MlSlnfQ4tb5uGqajsmHOoQn8,1498 +torch/include/ATen/ops/greater_equal_native.h,sha256=IIuQIg1zgWB2CAJVMfltjA2lhLoqw1VbOFpT7aSr2lk,997 +torch/include/ATen/ops/greater_equal_ops.h,sha256=v9zJcRoXdyHo1cdB_KhlgDOGshqCzjjZNWRur0mTFB8,4574 +torch/include/ATen/ops/greater_native.h,sha256=w_E1ehCVbHNHgL6h1dMehZLk2Ofy9kIF_DF-KVsP5uk,961 +torch/include/ATen/ops/greater_ops.h,sha256=9mop-4kYGEcn7VQ2QwZ6ApMSHNQBANgxZTQt33UBT6k,4466 +torch/include/ATen/ops/grid_sampler.h,sha256=RTgMWZ5-mmAYikL9q5BG-j-slf1RsrBpu8ltzC9EL70,877 +torch/include/ATen/ops/grid_sampler_2d.h,sha256=_uwLPcPMNu7WXDV6yEULwIspYszepzOU688HF9uxBPo,1789 +torch/include/ATen/ops/grid_sampler_2d_backward.h,sha256=0xRLk1BQLhJctkz9Y0imxTPImgwNtNmm5SSD9-dPe0o,2485 +torch/include/ATen/ops/grid_sampler_2d_backward_compositeexplicitautograd_dispatch.h,sha256=WF_mk4Q5ON0IqLSvXq5i8grWGrU1gJt_mFZKGfz_foY,1321 +torch/include/ATen/ops/grid_sampler_2d_backward_cpu_dispatch.h,sha256=rRMAfwtGcudMQ-ggTVDQk3XfT9Arxb01xT2zT3OpvsI,925 +torch/include/ATen/ops/grid_sampler_2d_backward_cuda_dispatch.h,sha256=ie6KxsszaVT2Rl1w38llNRmByVIIV8_jAHNiQxVlqL0,927 +torch/include/ATen/ops/grid_sampler_2d_backward_native.h,sha256=iyd8lRwjvUvgoXyGTk6YlK7ct5j9hlf4Lwi69Nw66_E,1265 +torch/include/ATen/ops/grid_sampler_2d_backward_ops.h,sha256=fpGfE_u9yyOkhN_uYCtsRqoY7qC8QKsfIbRaDHN95LM,3004 +torch/include/ATen/ops/grid_sampler_2d_compositeexplicitautograd_dispatch.h,sha256=DdZ_puSwkm2nGBdv1fUrqB5c3kLMdkfzJTChUl1WNpc,1077 +torch/include/ATen/ops/grid_sampler_2d_cpu_dispatch.h,sha256=2Y4cKMMiJkyxfCNkyuIdVnWRDeoQtmvZ-fdIBKIDZlw,825 +torch/include/ATen/ops/grid_sampler_2d_cuda_dispatch.h,sha256=tnSJZgv6YQ2THedSiB7MDkgF3eh9xBKPDQaSCicxupk,827 +torch/include/ATen/ops/grid_sampler_2d_native.h,sha256=I30SS9lHH4z2DjOtDCtTonZPO0ZT0qvdD_crA8dI4tI,943 +torch/include/ATen/ops/grid_sampler_2d_ops.h,sha256=0p9hEWk1UgijXQrY4_hPQVjAYlPkS1z82y4qxcdeHLw,2268 +torch/include/ATen/ops/grid_sampler_3d.h,sha256=6nHli5ddTm5VN11jqdD7sDtnvVtlCWdDGSC4gQRgctc,1789 +torch/include/ATen/ops/grid_sampler_3d_backward.h,sha256=S_rIfNpDK0CG2pvZd3Ossp1qHT7KhCtp_kKB3uVVw2A,2485 +torch/include/ATen/ops/grid_sampler_3d_backward_compositeexplicitautograd_dispatch.h,sha256=ZbI7r9KSyNaoT6U4fM6FjD2x1id-RThaVn02AXYMIz4,1321 +torch/include/ATen/ops/grid_sampler_3d_backward_cpu_dispatch.h,sha256=kD7aG-f4_nkVLdoP8XpzU8isEZkvEOlF8kaWy7L7OYA,925 +torch/include/ATen/ops/grid_sampler_3d_backward_cuda_dispatch.h,sha256=gKxrdwb-2IT51ijl8PXANrELMJgsmkeTifAxivYBGHU,927 +torch/include/ATen/ops/grid_sampler_3d_backward_native.h,sha256=5pn1GO4v1zr6b_bIxXFMEK_X4UjAyHa_YKh16N8w1Gc,1265 +torch/include/ATen/ops/grid_sampler_3d_backward_ops.h,sha256=Bhxg0yA_Qe1t2KEdmVEW2N1bmE7VZR6SNzEVVNUFuu0,3004 +torch/include/ATen/ops/grid_sampler_3d_compositeexplicitautograd_dispatch.h,sha256=iYQyA7rCoJ94mqtNvDWElBk1cVQahmB2pX6HCkjKGbU,1077 +torch/include/ATen/ops/grid_sampler_3d_cpu_dispatch.h,sha256=hH2MXILS_78WmrIAiejNC2j3qreFWT9fGlCuWY5uFwA,825 +torch/include/ATen/ops/grid_sampler_3d_cuda_dispatch.h,sha256=u4IULs0PcIya_JzRwIKmqp0axB2qsIqJkrIH8eRWR54,827 +torch/include/ATen/ops/grid_sampler_3d_native.h,sha256=HhK46FD7o7694rYiZsQIzDARggYYQQh_rxxvt12qhYc,943 +torch/include/ATen/ops/grid_sampler_3d_ops.h,sha256=YOJhka4TZVz9tRmPeFEODmHgIAh2P3BGh-c9pr2sut4,2268 +torch/include/ATen/ops/grid_sampler_compositeimplicitautograd_dispatch.h,sha256=4lhrlXaY14QaSNZOXYJ-5TlDARdmL0V780NgdiQngDE,866 +torch/include/ATen/ops/grid_sampler_native.h,sha256=B-O1H-G7iyki3Ye_nJYVSkwYFEjhoRcw0IjC9eHCedY,589 +torch/include/ATen/ops/grid_sampler_ops.h,sha256=Ef3IvwsM168R5yAFTqdoX5JWZcPBwKfkFyl4gj65V7w,1297 +torch/include/ATen/ops/group_norm.h,sha256=dAxxSIG2uvSNxqZ9BdDJ4XlfYoE98XJomoZZrLv7AFg,939 +torch/include/ATen/ops/group_norm_compositeimplicitautograd_dispatch.h,sha256=uxl8MIt9AUXjbw_KbV4r5inBPqVyFiKdGavuoInUBLw,920 +torch/include/ATen/ops/group_norm_native.h,sha256=7el8Z9ycPGZv3N-9HkuHRwczpSoR4-8oIBsfVEEpB2Q,643 +torch/include/ATen/ops/group_norm_ops.h,sha256=sOSwbd6XnVXfqQiY-JVBN0lIpmyeRHkv7AstTn1qANQ,1441 +torch/include/ATen/ops/gru.h,sha256=9GtJYe7qMyah6hHtPD3XExKoB-Pa-DP0Dd_fCx4RWvo,1560 +torch/include/ATen/ops/gru_cell.h,sha256=SKKR4CoazV-KBpHYRfnOcke2l_y4uJ93EUMWegFNFLs,898 +torch/include/ATen/ops/gru_cell_compositeimplicitautograd_dispatch.h,sha256=lwqvaEk1Otp5ydSn8yAYZKNHFlky6aPXbwhClxFBbOY,926 +torch/include/ATen/ops/gru_cell_native.h,sha256=0uuDV_FMrFjVaI8bUx3HvnWkVeynANJZNHgA4FiH9Kw,649 +torch/include/ATen/ops/gru_cell_ops.h,sha256=K-hcXOO1ubnpFfYt3EVC_-jYM_FtMkkqBoJIQ__Uj4I,1487 +torch/include/ATen/ops/gru_compositeimplicitautograd_dispatch.h,sha256=xe0XpYVnxpc-1irRWnb_RBp7aHTIc6TB5_310usWhW8,1175 +torch/include/ATen/ops/gru_native.h,sha256=VeiH1Z8-LzrRy5hdlCLxzXBm7BNVFnBVvm82EinpefU,898 +torch/include/ATen/ops/gru_ops.h,sha256=VpqIa6ZCY-a314jkKdYZH21JrrS5-Z2_D20_rtb_zcY,2732 +torch/include/ATen/ops/gt.h,sha256=bwELFL2hwhiwcbx27TpAEUTC1i5oO7oCag-jG4wboRE,1830 +torch/include/ATen/ops/gt_compositeexplicitautogradnonfunctional_dispatch.h,sha256=Z2sQFPwBYrYYaz7bYFG7f1Rbyc0lzuLB6j0FmZdm_e4,1034 +torch/include/ATen/ops/gt_cpu_dispatch.h,sha256=KvaYtu_1mtuxBINrePTunv1ibkZ9j5jbvDQKH55X8Zg,1366 +torch/include/ATen/ops/gt_cuda_dispatch.h,sha256=22MIm_dB38x-ppbu4fTD2OFy4SCwOKR8aQrdqh5dKVY,1368 +torch/include/ATen/ops/gt_meta.h,sha256=XLrkF6aPk1XbVnnpXz31mL6Zp1A1FHI0yjOIwx6k_DM,762 +torch/include/ATen/ops/gt_meta_dispatch.h,sha256=1PUK0yKZPj9DMvmkqw0uyxD2HqpSBrnVh2r-4Joyw-4,1368 +torch/include/ATen/ops/gt_native.h,sha256=OHirF20pLeqaDphZMvYQmDVQ2mYUY6jkXKLag4G89d0,1306 +torch/include/ATen/ops/gt_ops.h,sha256=OLFyTV7TwK5E1ThATW9B8JfHibINNwRbLfRCc7k-8Oc,4376 +torch/include/ATen/ops/hamming_window.h,sha256=lagBfGwXggDA-HP07qbENi_XmhBpElUiptV6xbfJobk,6974 +torch/include/ATen/ops/hamming_window_compositeexplicitautograd_dispatch.h,sha256=n9RJ-g5xg_ZJl7-c3TG4VT4BItR3MPNDCBywQNi548I,2878 +torch/include/ATen/ops/hamming_window_native.h,sha256=Et6cj2f1d3Tb0DQLvHmMdXqzOm6bR3wS24Yr1qgYHA0,1821 +torch/include/ATen/ops/hamming_window_ops.h,sha256=lW8IWLwGacy7rVVJ77qle8vmLqLrrvg0bKajbCn8Hu8,7921 +torch/include/ATen/ops/hann_window.h,sha256=KdggaPuS-nwWQzwdF7nGUmwWoasryJ2YDMLg7Se41aE,3279 +torch/include/ATen/ops/hann_window_compositeexplicitautograd_dispatch.h,sha256=DCFSNg084xIU9_9Jaj2OYbbZtLheCvCNAv5J0W0Oz74,1658 +torch/include/ATen/ops/hann_window_native.h,sha256=4_u3wfuDdzwokE_YTq2VbdPyj2umqxGfeGMFULJopWA,1046 +torch/include/ATen/ops/hann_window_ops.h,sha256=KPRdpLRgVDtOzUJFXfdv0E6HhHptvWBcwr8FWimod2g,3869 +torch/include/ATen/ops/hardshrink.h,sha256=9UvG5v7JsDImkgW5SDYuj-_6ZWu96tuMo9dsKoTmJ9s,1216 +torch/include/ATen/ops/hardshrink_backward.h,sha256=p0bx0k9QfpNce9xevGo1ZePFEOTBbm_5NcoVyl51dIs,1524 +torch/include/ATen/ops/hardshrink_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=T97Gh9wvV3lqj-8FMqWKimFZCd1BDLJhaIGjh_oWe-E,858 +torch/include/ATen/ops/hardshrink_backward_cpu_dispatch.h,sha256=R6_yNVq93aeFWmIJQwtUvpO7ZWcNeFPiRQvJb3eZ0yM,1095 +torch/include/ATen/ops/hardshrink_backward_cuda_dispatch.h,sha256=FIxyjseyeGX2SM1DHrf3X1B0fniRAlp1C2-kyZh_vvw,1097 +torch/include/ATen/ops/hardshrink_backward_meta.h,sha256=jJFW_Mp_m58wtrST6Q2XQh1ZPHqVpXFyTIG8IvR5jk4,654 +torch/include/ATen/ops/hardshrink_backward_meta_dispatch.h,sha256=N4bTge3dwG34fwY83eeqGt-tC70WprBB5R25iPgkMB4,1097 +torch/include/ATen/ops/hardshrink_backward_native.h,sha256=JlmxV9IWduBeBzHSf2zbzRNRqIFiUHDnwugKfgQhlGs,708 +torch/include/ATen/ops/hardshrink_backward_ops.h,sha256=n3HibVd1chiWVLvnD_fnA9NbJ5x6YY4qhvFgkIze0K4,2072 +torch/include/ATen/ops/hardshrink_compositeexplicitautogradnonfunctional_dispatch.h,sha256=BEljD7K-wbeB9zh-lTiXgJoHXH4E68zTp2V9R1hGbC0,824 +torch/include/ATen/ops/hardshrink_cpu_dispatch.h,sha256=5br9nPVtUGtCf2nHZ0HOmQDi1Q2D9ZBhbhadwBIayas,975 +torch/include/ATen/ops/hardshrink_cuda_dispatch.h,sha256=tSLTM6Ml5Sl89xFsFfxdEqr62V8QIc85fFqEj7AFIDE,977 +torch/include/ATen/ops/hardshrink_meta.h,sha256=8oFsf8IVNTBwJxVg4uzYR1OW_N3EA1N2OtaH5cxVtMA,616 +torch/include/ATen/ops/hardshrink_meta_dispatch.h,sha256=rzvVtNptBs_NW14dR1Y2efGfTJGzMzanxGYHSM25--s,977 +torch/include/ATen/ops/hardshrink_native.h,sha256=ffUxSRn6fjHNQm9C5WL7_jH7vCklBnR4kzdArr4MDxo,645 +torch/include/ATen/ops/hardshrink_ops.h,sha256=re3NgmdlL7PmiOlhySkwbIrggNLOqM9NPn3njOXD64s,1794 +torch/include/ATen/ops/hardsigmoid.h,sha256=6s-Puvs3aSWXvtNN23t-fxZzFz3vkWzAloqn3HZftUE,1222 +torch/include/ATen/ops/hardsigmoid_backward.h,sha256=VnHvY9yEenYd5DmQ1E8K3yocY7tkXKLMyRVyBHWFKQ8,1420 +torch/include/ATen/ops/hardsigmoid_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=2mr7MsdmJNhyb9nJ09L7eGAk2AHhQUP2FvUUF0z_LMM,836 +torch/include/ATen/ops/hardsigmoid_backward_cpu_dispatch.h,sha256=f-SY4XsJM2VoT_mdgI-0Y6Lv5Qtxlyah1N61MT0DjZE,1029 +torch/include/ATen/ops/hardsigmoid_backward_cuda_dispatch.h,sha256=V-FVIqG8zbPeVBh4CbZlQQymph4aWIfXTm-Vq0Nx_GQ,1031 +torch/include/ATen/ops/hardsigmoid_backward_meta.h,sha256=NX0P0x6hMnGz44aS_4fGDk87HgjXPdAUxL8LFBXk4Dk,632 +torch/include/ATen/ops/hardsigmoid_backward_meta_dispatch.h,sha256=bwhCBuN0XZfiladaNyJqcpMITZEtxEk_jaix3YI9vRU,1031 +torch/include/ATen/ops/hardsigmoid_backward_native.h,sha256=LdUM_J9-7oVQvDCIqm5f-xYm_85G6YndrB2d2LTkBas,688 +torch/include/ATen/ops/hardsigmoid_backward_ops.h,sha256=_ovJBRMzNPbfhKk18r3dfn1xeO1Tv09sbs8MgDnB0no,1924 +torch/include/ATen/ops/hardsigmoid_compositeexplicitautogradnonfunctional_dispatch.h,sha256=xhn5O2eYc0MdXm5NeL1kFCAzwmdAuZFSog28gALPnks,851 +torch/include/ATen/ops/hardsigmoid_cpu_dispatch.h,sha256=q53Nkv8F3mXxfv4NiRwzv2UbcI3w4zvBD5vIFSjcFtI,948 +torch/include/ATen/ops/hardsigmoid_cuda_dispatch.h,sha256=NxtvQvKoB4EGWbZChNDnwU49Wk6UZBqTjb-h7ZDC17Q,950 +torch/include/ATen/ops/hardsigmoid_meta.h,sha256=IGl1CK_S0ZL1QQWmFxiK_JNb2aZsuUJ2agGKqT6UB-g,591 +torch/include/ATen/ops/hardsigmoid_meta_dispatch.h,sha256=hH-nL7cRx3mPwN60hn3aPB5HjzCz5Ttn3OfhodRCeEI,950 +torch/include/ATen/ops/hardsigmoid_native.h,sha256=LpNzfVC9aOb7pl3MZ35WmoXVj1qdJt2zB3Vvgj9vOtM,792 +torch/include/ATen/ops/hardsigmoid_ops.h,sha256=Q7Lcqp8k1e39Tx2nNrY0lr3luTi73ckXDBXLXYkXxik,2167 +torch/include/ATen/ops/hardswish.h,sha256=r-cH6XpX7eiK3xhG2PcPivkvmpspfU9Gc-VhxA4Gal0,1196 +torch/include/ATen/ops/hardswish_backward.h,sha256=dE2_bxfy4hYuVCPBPKh-B7bhD3Se_UHvvBxsWmDOP_k,1330 +torch/include/ATen/ops/hardswish_backward_compositeexplicitautograd_dispatch.h,sha256=rTgzA7AqtQGOeR4PK7ZDMgfqW8SDY5gY53CVc3yjoY0,955 +torch/include/ATen/ops/hardswish_backward_cpu_dispatch.h,sha256=HMty385lv2s0mC6Qj-c4UJAatCRzLrPOKwSV3JjjN2Y,764 +torch/include/ATen/ops/hardswish_backward_cuda_dispatch.h,sha256=PyhZciayHwqkWVRVM-51kiDfHh953Y9wBjCRckH1S_k,766 +torch/include/ATen/ops/hardswish_backward_native.h,sha256=hYEuBJz1E9L2swLGI4OpH4kDTo7AvfV3gsaSJx5tQn0,653 +torch/include/ATen/ops/hardswish_backward_ops.h,sha256=x4LL9nUk4zn-3vFUJ35kp8xG7yIJRzC8Lpr9ENXlR_c,1870 +torch/include/ATen/ops/hardswish_cpu_dispatch.h,sha256=kBXk20TCrpj5cd2PEP3wqVuQp_fzOZKFo5l5KxtyjSU,940 +torch/include/ATen/ops/hardswish_cuda_dispatch.h,sha256=jhpVRHRjJIK75jVRIdaMuAe40RtUFSC9FJjJHZdca1w,942 +torch/include/ATen/ops/hardswish_meta_dispatch.h,sha256=u0i5X_UvWqpMAbS2rrq8pQ1ZL7nAbaGZc6ZNqpK4eEs,722 +torch/include/ATen/ops/hardswish_native.h,sha256=3VT_TXckY1AWcbVRrsehRbjq-h17SpEhLwxzIM9d2zw,625 +torch/include/ATen/ops/hardswish_ops.h,sha256=xX0OSIUyE_WcPaWylVAt_gFoGWuIlisT3Fmux5saIw4,2149 +torch/include/ATen/ops/hardtanh.h,sha256=k8U2NS2JBQJOFABm4bY9Cdhq3RUCRgZUDbcKD9ShXDg,1642 +torch/include/ATen/ops/hardtanh_backward.h,sha256=okY18kvDaGNtW45Ve9vXgEHX8uwR9QshwE8-0ysLFfA,1708 +torch/include/ATen/ops/hardtanh_backward_cpu_dispatch.h,sha256=55Pc5PGjsQV609SFGDkUWnRUI5IdZdxWz-imeAfqqQo,1188 +torch/include/ATen/ops/hardtanh_backward_cuda_dispatch.h,sha256=cF7u7AY9huzUCIkXagwnALAjDoDGRYQDd0lulmCa1AQ,1190 +torch/include/ATen/ops/hardtanh_backward_native.h,sha256=r5IMNHApEKwFoS9dI4zBRbhCdgCeMx7V96nAcePXE14,770 +torch/include/ATen/ops/hardtanh_backward_ops.h,sha256=NYpcsVaOMf68JeE0LQC8HdGU8yB756FAj1ZtwWhy5dM,2274 +torch/include/ATen/ops/hardtanh_cpu_dispatch.h,sha256=8W-va7CImYRRCHdu0YuvCWFmw1grgFK-KXl_x9BGCtE,1175 +torch/include/ATen/ops/hardtanh_cuda_dispatch.h,sha256=XF5uz9yI7n4I-ynsUPla4agbeJmbbrnqazzLO8PtR3o,1177 +torch/include/ATen/ops/hardtanh_meta_dispatch.h,sha256=k8nJkKne2QxLnQ8MQPKQYC6av_dpoCGzEtzx4331vvA,782 +torch/include/ATen/ops/hardtanh_native.h,sha256=IOPXsd_nnyVY4wvsNlPEIj2VVgB6XeeoHn_rq0siy7s,1209 +torch/include/ATen/ops/hardtanh_ops.h,sha256=zwr6I51K7So9OsNqp3PRGeFq9qBeCqqbNK84ksIYOiQ,2707 +torch/include/ATen/ops/heaviside.h,sha256=RBBVsqhddfM36gb8zzO_EoHHslzbWRjjgieEYS7K0eM,1195 +torch/include/ATen/ops/heaviside_compositeexplicitautogradnonfunctional_dispatch.h,sha256=rY-l1c0Jc7NU52e_G7kjORTH1MJviPxztOjWnHlp6J8,901 +torch/include/ATen/ops/heaviside_cpu_dispatch.h,sha256=5E2gw7PJtq3v7vSLkmeWtg0JsWNG0oxrhlbAMaFSKkg,1048 +torch/include/ATen/ops/heaviside_cuda_dispatch.h,sha256=vTspqK5PZ2b0wB2ehC_ykhevPvzkZBqO6bM3mEQWmws,1050 +torch/include/ATen/ops/heaviside_meta.h,sha256=9lGFa_kIGlucyEQvQWNLD2ZweAwzTaxPH1e4mFfDj8Y,616 +torch/include/ATen/ops/heaviside_meta_dispatch.h,sha256=VzCDZYncqqHuScrY6tURCAgJMHwBKXnLW-fgjakdeWY,1050 +torch/include/ATen/ops/heaviside_native.h,sha256=ciKiuT20YBvHfv00hog_rYPTSDZaoeLwC1s0lXRWkvk,643 +torch/include/ATen/ops/heaviside_ops.h,sha256=w9NuGJLGaXv39W8D9C9RRsAkhbDxRrtLESfmWXGNp48,2416 +torch/include/ATen/ops/hinge_embedding_loss.h,sha256=yXYUGU-DAOGBIdlQfQshVFIFwMIQL8uC-0AmrWWQpyk,846 +torch/include/ATen/ops/hinge_embedding_loss_compositeimplicitautograd_dispatch.h,sha256=4OceJCjlx2p7D1zTgc_DqrX6lU1epB_nwcQogI_bVAM,863 +torch/include/ATen/ops/hinge_embedding_loss_native.h,sha256=EFdAC1GfVEpp3UbjlSJzYANCF9SHmzXnMSoOckjjpfA,586 +torch/include/ATen/ops/hinge_embedding_loss_ops.h,sha256=tDiCV1-rvy9wAsxUxtmnhO0whDjHeipb4-PFLfPkPLM,1221 +torch/include/ATen/ops/histc.h,sha256=CODy3VX8Zw2hF3ws26eK_kiNRnbsDh-AYGTYbSKXXL8,1381 +torch/include/ATen/ops/histc_cpu_dispatch.h,sha256=C0qiQXah9GCe-_OjxI_I4qnHg7dwPTIiQ-f4n5f0sws,1076 +torch/include/ATen/ops/histc_cuda_dispatch.h,sha256=J8Sh6wmvB60gW73XplingglyU2cNEbAGXvQ1EnNEgiU,1078 +torch/include/ATen/ops/histc_native.h,sha256=9RKkT2ZJLYyqPBJY2lZL7A-0RU021sJH5VZoQ32Etu0,989 +torch/include/ATen/ops/histc_ops.h,sha256=WM2ZHpRou6rquRVaHc0fVQpfAstuCg7Y4wshgYFXLfE,2014 +torch/include/ATen/ops/histogram.h,sha256=X28XbnzKnTkiadcJWFzt4UQmmnw3HqMq2-1xeiAXVDM,3482 +torch/include/ATen/ops/histogram_cpu_dispatch.h,sha256=imJw42oXsnMIM1eN6j1-9TDRfH4e7M8h_7HXN_h2kQ4,2016 +torch/include/ATen/ops/histogram_native.h,sha256=1SEyfVunIkKacjFtSjtLl7xvt8sAXlY_LuDGZnBBmc0,1286 +torch/include/ATen/ops/histogram_ops.h,sha256=YVaIF8CuBps6emH-6bSINfcsryVK2AFO5N4yHfOAoVY,4826 +torch/include/ATen/ops/histogramdd.h,sha256=QWRkcUSl9tU9jDSIZX82xiH71donBkvs-mKpbHjhQ5w,1929 +torch/include/ATen/ops/histogramdd_compositeimplicitautograd_dispatch.h,sha256=Wr3EbRp4w9l2LzKzkWmsJ6JL1QLskBf0hc0KpNgU5Pw,1427 +torch/include/ATen/ops/histogramdd_native.h,sha256=QlZj_V2MHfZNB5tuCnJZIqEhNOyImoQImdHYcRnX1JA,1150 +torch/include/ATen/ops/histogramdd_ops.h,sha256=Be2WjispCp9nIgkiTu-nafbWXujwlOWEbT0Iraq_xJk,3799 +torch/include/ATen/ops/hsplit.h,sha256=o48tduV14cDbos6du1FVNCxG_Agh7ozWRf9uV4CUWmE,927 +torch/include/ATen/ops/hsplit_compositeimplicitautograd_dispatch.h,sha256=VGu6nNlhjaBO0amvWPtO6gVWRbPoVnDUsA_C5U-BXGI,891 +torch/include/ATen/ops/hsplit_native.h,sha256=8Xy5LIrXwJabzTCQmKtBIK7Yt2F3d9kTV5ITa4dKl_0,614 +torch/include/ATen/ops/hsplit_ops.h,sha256=9zOHA_V6PbTjyq3y72I4axN1onGHnj9RqBvlOP2FzoI,1785 +torch/include/ATen/ops/hspmm.h,sha256=6YD55TxetAKHJxJiJ1erza4qsnMRkku3JhJMJEZ-hHM,1137 +torch/include/ATen/ops/hspmm_native.h,sha256=1RhEnTyOdJIHwlZe0FwsGt29_JlA4M1vgLIqrQU_-VU,839 +torch/include/ATen/ops/hspmm_ops.h,sha256=9z96VsjXVVeCFDtrcenbgdspZ83G5gAVj_LzMdtvbmE,1750 +torch/include/ATen/ops/hstack.h,sha256=SWRUv464mwFxZj6jLWwtFyCsvh_unuGEKCcp1envdb0,1036 +torch/include/ATen/ops/hstack_compositeimplicitautograd_dispatch.h,sha256=Zn5t1UPVI6QLC_chOuedSWl1gKC5V8PpacMcdmMvG4k,918 +torch/include/ATen/ops/hstack_native.h,sha256=X_cl73g7b2UI05S8jGsr04Onbne5e3Zt8bs_LcAEu-I,563 +torch/include/ATen/ops/hstack_ops.h,sha256=wSgDh8XOCLWaIAB-ql9KnCXbub5hcbyTGyQQRh22ALg,1588 +torch/include/ATen/ops/huber_loss.h,sha256=-NC5oSg99IyWrdonO4r5SA7d7Vpp6ETtlSQE73xEjq4,1517 +torch/include/ATen/ops/huber_loss_backward.h,sha256=xlMyV0chnFhlzhD1VCcU6uKZEUZZ3i2Bwoj2fDbLiy8,1769 +torch/include/ATen/ops/huber_loss_backward_compositeexplicitautograd_dispatch.h,sha256=oWwfQloaCaNs6W0cTMNX28N8m7s0paHjgD1xj-O45hg,869 +torch/include/ATen/ops/huber_loss_backward_cpu_dispatch.h,sha256=TUPK4NLqHjEZjCwAnV4RIqgmrQh6Dd_KpeYiv75xsDI,1047 +torch/include/ATen/ops/huber_loss_backward_cuda_dispatch.h,sha256=h0wjUErNkhjGs1lOtM8ZTlB4EQaWLXjOTVTutbS8vbs,1049 +torch/include/ATen/ops/huber_loss_backward_native.h,sha256=vhYubiwxs4Zc-AThn2OhPrHvBpc-0AnuP2AxA-M9-x8,782 +torch/include/ATen/ops/huber_loss_backward_ops.h,sha256=eRHzUZIa-uxRx5tyR9yCGWCoYgBYzAzsOhZJm3ukOog,2297 +torch/include/ATen/ops/huber_loss_cpu_dispatch.h,sha256=dD7sZyQq99M_2dm3ierMP0aEgJci-9KjsWlXJLxBhh4,1117 +torch/include/ATen/ops/huber_loss_cuda_dispatch.h,sha256=zSvgocqIkQGHSS_gTNWi5VOLpcdP3BLQPV69OQ8nQD4,1119 +torch/include/ATen/ops/huber_loss_native.h,sha256=61Vy2gt-_iPCN_EccXUQ7Hka0jKhVGe7XsG7QOHL6ow,717 +torch/include/ATen/ops/huber_loss_ops.h,sha256=1rTsrW6m1-Fb_0G3gDYV-Enm0HtZ2jGxUTROUHLBokc,2032 +torch/include/ATen/ops/hypot.h,sha256=Loadhpx2KbXyYFZYFMUaXI8qydasoYJ35GPqSiRJxmg,1146 +torch/include/ATen/ops/hypot_compositeexplicitautogradnonfunctional_dispatch.h,sha256=4mC-9q67le8qKcTvaUL5G0gqCimjGu6tcAR1tet5NoY,891 +torch/include/ATen/ops/hypot_cpu_dispatch.h,sha256=D-Oigt-GgAUHAFbSGynUZBAuWcGbJTDuIcOsMMkCH1o,1028 +torch/include/ATen/ops/hypot_cuda_dispatch.h,sha256=rp74Dn1pEKpjHS9GKzfg4vfIMKZ5h2SzkLG2nD1Q3BQ,1030 +torch/include/ATen/ops/hypot_meta.h,sha256=aR29X2_hAqAwlyh0rSu5GR58jR7MvJhLXyTmht3_EUk,611 +torch/include/ATen/ops/hypot_meta_dispatch.h,sha256=a3w2-mTk6qmemOtv4oLln2txtIRa0vM928tLSmdPySQ,1030 +torch/include/ATen/ops/hypot_native.h,sha256=ivLB8takVj-tNKRrcfebu7gU6jXhpX2EW20ScV2VdDo,630 +torch/include/ATen/ops/hypot_ops.h,sha256=ZXHdP2reacVZgN6lqYsxiU-ejwLLmh_mUNX22OLw8HY,2371 +torch/include/ATen/ops/i0.h,sha256=X8l3r_adpx54nvjHRjRHaM2fIW609lwyVCo_YFj_x4Q,1105 +torch/include/ATen/ops/i0_compositeexplicitautogradnonfunctional_dispatch.h,sha256=TQVvSjHcOOwAB94DWCS8hAYR2Kp41H_y4-U1g1ADRjA,833 +torch/include/ATen/ops/i0_cpu_dispatch.h,sha256=6d_rlXT__vLzsO6Au-vcwQ0l7Wwrc8ce34VvENBsPKk,912 +torch/include/ATen/ops/i0_cuda_dispatch.h,sha256=KYkT6YopLjQE5A7YALQxaPV6LhpXvsg9QKVYHUahJU8,914 +torch/include/ATen/ops/i0_meta.h,sha256=Qg8FUgk0tp7YYFMUS83tUSNeHaKExlKBkvEHr7lRZnQ,582 +torch/include/ATen/ops/i0_meta_dispatch.h,sha256=-99oCMwLHT1cQ90-qkJP6wGMakMhrwaLrlhlttJN1dw,914 +torch/include/ATen/ops/i0_native.h,sha256=WOFD-JEhf2KwteSudsG8-xcmP_wJHsCIukFDRy2SdHw,595 +torch/include/ATen/ops/i0_ops.h,sha256=ICJNo1uFbXm-1LVvruLsV6pK4J1L_rnWb3nW22vdccE,2086 +torch/include/ATen/ops/igamma.h,sha256=Nhfo9sXR1IO6cxCP8Z5BpB9IL40bJ8pMynvs201xkxI,1156 +torch/include/ATen/ops/igamma_compositeexplicitautogradnonfunctional_dispatch.h,sha256=RXQ2KFbVDx_ojy1P6X5UJe23uev5w89sYC7Co1s4Cmk,893 +torch/include/ATen/ops/igamma_cpu_dispatch.h,sha256=Fb5tOPCCrdyNgaD1UEbVKTFfKz04oFA1LQPI00gQNj4,1032 +torch/include/ATen/ops/igamma_cuda_dispatch.h,sha256=jLdlickXI6czL8mPlP6703L8rswUST7f8ijnM-MfcDM,1034 +torch/include/ATen/ops/igamma_meta.h,sha256=eESpb9Omh6tocWQN7K5472G3vZsy9ytbWEDnpHWlBBw,612 +torch/include/ATen/ops/igamma_meta_dispatch.h,sha256=6J4N1rvt0ej8pgVYhR6toFZ0xZzw6T9rPN1YxxLeMpo,1034 +torch/include/ATen/ops/igamma_native.h,sha256=VEf3cesvU90SkYajoO278MZ43jydOvYMvwpHf3o9HvI,633 +torch/include/ATen/ops/igamma_ops.h,sha256=Cp_tw9o4drAq0PBvfuGzVF7r3fljdOn-pgvwZYs0L6o,2380 +torch/include/ATen/ops/igammac.h,sha256=Z6hoXeevL2rjPy47dBmWhvDPf94mQ2vj-J1LlfLJC1U,1166 +torch/include/ATen/ops/igammac_compositeexplicitautogradnonfunctional_dispatch.h,sha256=rBlRimdNlBbYDlff1U8EpRMpzxNpxqpRW4F7Emy-I0k,895 +torch/include/ATen/ops/igammac_cpu_dispatch.h,sha256=ntIbXmvldHTviroBpPKuymzsrKL4Xml71CRXEuY1Ehw,1036 +torch/include/ATen/ops/igammac_cuda_dispatch.h,sha256=j92eayh8eWXGNxH_ETekv00BrtA3hKP2ODLhC2Hglvo,1038 +torch/include/ATen/ops/igammac_meta.h,sha256=ADoyvRiJd18cdAXS0Bze9STr4H5DR_zV3YugCZIOpig,613 +torch/include/ATen/ops/igammac_meta_dispatch.h,sha256=rE8v-jskpM9Mwjaxwbl7sWZjMZnxdBUv-AptmJlwU9M,1038 +torch/include/ATen/ops/igammac_native.h,sha256=R_u19bzzzCBJ656BNyntY5Nrh5clzuQbQjW3z0EGzGg,636 +torch/include/ATen/ops/igammac_ops.h,sha256=spGsIBBWFELZzx_lsi3Jhrm0ZI0QWZ2o1xrOpXapxCY,2389 +torch/include/ATen/ops/im2col.h,sha256=Yp_ZSa8JyYkdEoLMulG0VZWdUdaN5HT5a2Odr3n5VHc,1651 +torch/include/ATen/ops/im2col_cpu_dispatch.h,sha256=_jvIGHMby1azb2qp6vPKYQpvoWHBe9TwqWy_a0IKDVs,1189 +torch/include/ATen/ops/im2col_cuda_dispatch.h,sha256=hkQedhLXBQWIE7xSjgA6OqvEsg17-6HALcK1kMCPmws,1191 +torch/include/ATen/ops/im2col_native.h,sha256=sxnP22YE6193g-wYB6x-sVkcwku7W481dXi39Cgnwrw,1131 +torch/include/ATen/ops/im2col_ops.h,sha256=WTwpjFdGVc3XBfrJMh5SbclhsB_L7Wf0xEh7Kd8h3Zg,2278 +torch/include/ATen/ops/imag.h,sha256=q9wcx55tEfYLi3WwlTYTW1cUcdM1Hudcx-w3EMSs5HQ,623 +torch/include/ATen/ops/imag_compositeimplicitautograd_dispatch.h,sha256=k6fCdg6zHmwu0bceT5Z6Ojtpvc1Z4JEivk1aSSLa7Fg,762 +torch/include/ATen/ops/imag_native.h,sha256=Nmki94OCHq_v12FiKeLnj9PEbictN8zHicyTFo7Mrs0,485 +torch/include/ATen/ops/imag_ops.h,sha256=3Ud3uPJoIpoR5kfAUtVz2Z_S2fvkEa8RaF_uju5hojc,967 +torch/include/ATen/ops/index.h,sha256=Iz5Thz6lVZr6nUi8AjiqkydsorgTHlWnEySZnNMaZuE,1293 +torch/include/ATen/ops/index_add.h,sha256=4mHhWekmkbSspz9p7-0If__ii9kdsvK8VPGoPx_frN0,1917 +torch/include/ATen/ops/index_add_compositeexplicitautogradnonfunctional_dispatch.h,sha256=jhkdb2fsCe29JTQ5J4K--HmYuspCmSa2JbZci2xBbxg,1035 +torch/include/ATen/ops/index_add_compositeimplicitautograd_dispatch.h,sha256=nIxcakQ_ZpfTNGdZS1L9dCgNGn6HVznqPm-eaCgBKk4,865 +torch/include/ATen/ops/index_add_cpu_dispatch.h,sha256=6Zm_b36B8uOa8RsK9oXnaz-jhAHU5gifS5XyEY66piU,1314 +torch/include/ATen/ops/index_add_cuda_dispatch.h,sha256=n7CoAI4atRcUGe0SydjiDDZGdiOT4tUyqVNkIdj9unE,1316 +torch/include/ATen/ops/index_add_meta.h,sha256=iKViqOrPxYOj4x66lJMrplp8Ry8fFU1Euo03irxA_FY,1155 +torch/include/ATen/ops/index_add_meta_dispatch.h,sha256=t5CO3gH4JaqR1iQSTHNvy88tA-r2yP6D_LvyaK-wNIM,1316 +torch/include/ATen/ops/index_add_native.h,sha256=RiDajMnZhitkut0OA5ixZrJiadceOiRJQIhJjoE_k7o,1111 +torch/include/ATen/ops/index_add_ops.h,sha256=CfW0biWusdOtMCMD8KF_gRmkcu05AS7CWJBJ5KeovXw,3967 +torch/include/ATen/ops/index_compositeexplicitautogradnonfunctional_dispatch.h,sha256=XSOK0cC8ixsg0FxuUyNfIF9bNvHI7jZoqsgClDeVzTU,843 +torch/include/ATen/ops/index_copy.h,sha256=eL1jbBLEpCYlBOydbe5zmw3eEAjY9vAXqe0rtovA7pA,1722 +torch/include/ATen/ops/index_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=ISW5J3en26MzCOfMFHTZe_N86uljfTObV34QLSBnVqo,981 +torch/include/ATen/ops/index_copy_compositeimplicitautograd_dispatch.h,sha256=qjT-iZD3PVfjtbgtGiYU_k-jkH8vsLT0Kp1sw1be1Uk,963 +torch/include/ATen/ops/index_copy_cpu_dispatch.h,sha256=CTfro6ukWFyG7DDYZFC2uA3pMzxr5A_asVDws8Y5-Bs,1208 +torch/include/ATen/ops/index_copy_cuda_dispatch.h,sha256=IigJtGqwuYS8OiEzXKcWQa-MjtqX8z7pm_jXGH6_RlM,1210 +torch/include/ATen/ops/index_copy_meta.h,sha256=N5eukO7RbJU76G6CwLssA2vNIdQ_v63feXCGU4k4hT0,1130 +torch/include/ATen/ops/index_copy_meta_dispatch.h,sha256=YGC5re08ZphuUm9unU6INs8CPExCTxRf8ADh8OLBMwo,1210 +torch/include/ATen/ops/index_copy_native.h,sha256=fwCGPQr4Qt3Mm1LD6_VeJxZrScE84UM9uzzPJIfpNd4,938 +torch/include/ATen/ops/index_copy_ops.h,sha256=xnlIDBkwgSfaIrYYUSrLs48RpaZHHde9lTjuQmstxhA,4420 +torch/include/ATen/ops/index_cpu_dispatch.h,sha256=J1YAQeib_CdMzAoN8WlXh8Mu1ZtTMS85OwT4OSbX39g,1036 +torch/include/ATen/ops/index_cuda_dispatch.h,sha256=YB5VaLSOmt7HLfXYnjuzu2hbH2m1KAPc5V0W8_qibLU,1038 +torch/include/ATen/ops/index_fill.h,sha256=-64PAEjuB8FN9X56ER5F0h1gysXg0F-pGhr9KjK5Krw,3086 +torch/include/ATen/ops/index_fill_compositeexplicitautograd_dispatch.h,sha256=NblXRgpfk8q9MDoExCKsyZqDFE2AnHDq8sIDuldcOvo,1546 +torch/include/ATen/ops/index_fill_compositeimplicitautograd_dispatch.h,sha256=Sn3-N4_ga-20Tz3pLU2xtbQ1Qwr4AabBL_YTp4XqWmk,1212 +torch/include/ATen/ops/index_fill_cpu_dispatch.h,sha256=h5A-lEM80B5lglKP_IZeGcdBvk_IcN0-I06A3ea6aaI,906 +torch/include/ATen/ops/index_fill_cuda_dispatch.h,sha256=jGuEpQzxFEbpk2b_U0L2Z0OSxx6W5iJ490S-gWbK12w,908 +torch/include/ATen/ops/index_fill_meta_dispatch.h,sha256=EZVJfy7fgCF9nUsh4e6rzOx6yfDQ9vX_aNnkwInYTOw,908 +torch/include/ATen/ops/index_fill_native.h,sha256=VOu69b7fk5nA3K9MdW9NwVi9MpqDC-ZXHfsXyCFrdIo,1737 +torch/include/ATen/ops/index_fill_ops.h,sha256=yByjn0cRk3xp9vitTfGmD2VbGGzJ83zqZcXiW5zZyOQ,8654 +torch/include/ATen/ops/index_meta.h,sha256=-W_3OUoSrTtSxGSrmJCJbZJd8rvEvOfinlOzgtLOeHs,1537 +torch/include/ATen/ops/index_meta_dispatch.h,sha256=ZlmkAAR_IG7xZPgqZlmB1R9z_aFJrGJAR53b3Re2CRI,1038 +torch/include/ATen/ops/index_native.h,sha256=kDJHnDzHzEer4qaaHWRVgWnDe5Dw6yjeXwH58fw7ua8,772 +torch/include/ATen/ops/index_ops.h,sha256=BN9IkmsV0Wha2ucfJBZC9qxX_19CyYDPWyeD_zrEKgM,1971 +torch/include/ATen/ops/index_put.h,sha256=P4I4MG_AI5JmeYA2vYwyOjPcgPs0mYsEqCPu4YAjyME,1950 +torch/include/ATen/ops/index_put_compositeexplicitautograd_dispatch.h,sha256=J0nCLUuJy_50j8k2UM3YgXMF3FputqYkP5LaX1TRgNs,1394 +torch/include/ATen/ops/index_put_native.h,sha256=dpDNW3wl90NWlGbSRjRsaMA1ZuuBjyiqa7FvMA3h47U,931 +torch/include/ATen/ops/index_put_ops.h,sha256=mnpYEkzQrFAKNszpvljzqKIp0mUI_MB7mAObog_UE-c,3124 +torch/include/ATen/ops/index_reduce.h,sha256=Yl3gfaZAcMIKHAvMYsQwbQK8iMx0WZAh8TiQyYv_sCQ,1766 +torch/include/ATen/ops/index_reduce_compositeexplicitautogradnonfunctional_dispatch.h,sha256=R6N_xWY56S2n5BDeYZ4fTsl-Rj418YWb1lzPhnsH2kg,1083 +torch/include/ATen/ops/index_reduce_cpu_dispatch.h,sha256=kRvYVrYZRoeG2YrCNUe00SmO8GcqiAvPuLYl8tMZJcE,1407 +torch/include/ATen/ops/index_reduce_cuda_dispatch.h,sha256=NfFethrIFpZiwBOceL7Ek0PsMGFSXH4o-5fGa4Kvd4w,1409 +torch/include/ATen/ops/index_reduce_meta.h,sha256=hysvkQPZDTwy-2xJ-s55wuES23-to5S4OvM9HTGZ92Y,1176 +torch/include/ATen/ops/index_reduce_meta_dispatch.h,sha256=Rzw9n8_oqGUMr0r2kJhQeoxk3cg0lL9o1K3lGD6O8wo,1409 +torch/include/ATen/ops/index_reduce_native.h,sha256=xWleWairXyw1n-kgMo5_7qni-WcVtA3bp7KsmWSH-2Y,1007 +torch/include/ATen/ops/index_reduce_ops.h,sha256=gbWY4RLWuvE0rqUnnp7dWYOS3Yg1oOOK_-YXNh8Goys,3283 +torch/include/ATen/ops/index_select.h,sha256=31WTyGVzW0Iy8NNPXGD6R66GDBid3MZBFsZpYNurhbs,2170 +torch/include/ATen/ops/index_select_backward.h,sha256=S2LNFlQi0DtvX8zi6HiKJABmV4QfiY8ZDtvuH6oD-38,1846 +torch/include/ATen/ops/index_select_backward_compositeimplicitautograd_dispatch.h,sha256=o9hT6T-ge8JSAEMeGj4p5NzH8U4zMpm5oyH7eG1Lhd0,993 +torch/include/ATen/ops/index_select_backward_native.h,sha256=YgYGobr6rWzUh0a1LcEhJhndGRS83SZwUtbvw58ysDg,580 +torch/include/ATen/ops/index_select_backward_ops.h,sha256=8OpwCOw_gqct9SchZ5R4YD_sUxWARkWfvBkq2J7uFyU,1248 +torch/include/ATen/ops/index_select_compositeimplicitautograd_dispatch.h,sha256=8f4FLKtwe-5DE8GYDoaNPjVtCl6od4KdpapNNtch7Jk,1068 +torch/include/ATen/ops/index_select_cpu_dispatch.h,sha256=1MbvSC-blT9bwOJEXpzUiFT73qsz5N-NBWlJDG1gMDI,1012 +torch/include/ATen/ops/index_select_cuda_dispatch.h,sha256=sCuNKKjpbY8aplDqQ9DyM1b-tdg-eGCjN4iTYyJLWzI,1014 +torch/include/ATen/ops/index_select_native.h,sha256=8bGD1Px0YHJFd9LE4EKNtqBZLpm7C9oCHugGl0HFIPg,1576 +torch/include/ATen/ops/index_select_ops.h,sha256=eJNuV_CGbj-AwqjrGurpfI6YinkLsMfMcuQdpGQxdic,3417 +torch/include/ATen/ops/indices.h,sha256=w7mjMPZoxQTySbbfAkp52kaSlvGCIb4O-BThQFoh1CE,492 +torch/include/ATen/ops/indices_compositeexplicitautograd_dispatch.h,sha256=NtptpbmpDMRQhc9OKENcOkIerT-wV-uREe6T_8m-dfI,765 +torch/include/ATen/ops/indices_copy.h,sha256=NNaEAPjqyz0WeWWegXRT7pGquAq9N6Sc_NEZvPGBJ6A,1075 +torch/include/ATen/ops/indices_copy_compositeexplicitautograd_dispatch.h,sha256=C1pzb113Xh0GV7J5_wlGtrScbU25Y_pohFE5ynQBWsI,879 +torch/include/ATen/ops/indices_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=VIAEOpaWRV3GAQSCzjzommNlXXMWShHj9-z7J3okeJM,796 +torch/include/ATen/ops/indices_copy_native.h,sha256=XZF0VZ5QOwjhgWQ2319dsjROR7p8UuG5dA5rMtMe8Xw,577 +torch/include/ATen/ops/indices_copy_ops.h,sha256=ANJAk6WdDSGIvLlvmpnvN-halWJks2M4FIicxNFQddE,1626 +torch/include/ATen/ops/indices_native.h,sha256=bDBIuN5wrkpqnt1HGFs4tBYlY4wznm4OZhyc_dyUwNk,558 +torch/include/ATen/ops/indices_ops.h,sha256=lJS2_JNDMvfCXJuSN78FBLOORIMGcvUDinX29Ei8azE,976 +torch/include/ATen/ops/infinitely_differentiable_gelu_backward.h,sha256=kBs27LuLrjOU1M6q0hyv_8WB4ZgWNdK5qtOq431u_FQ,801 +torch/include/ATen/ops/infinitely_differentiable_gelu_backward_compositeimplicitautograd_dispatch.h,sha256=wm77Mxn6ul99VKoUWmCB3rkiqW7zMOv2KJyfSfOKyNc,822 +torch/include/ATen/ops/infinitely_differentiable_gelu_backward_native.h,sha256=aM-OBXAgehQ0-TGd_oQy7yTqXQ4vxvYn1i22gb1H_5I,545 +torch/include/ATen/ops/infinitely_differentiable_gelu_backward_ops.h,sha256=mZbajlTnGhoVc3sSYSdPLHPPa7PhYoA4Amsn1Yd-XJY,1149 +torch/include/ATen/ops/inner.h,sha256=Y-TXNMTjjx05GKo2DHp9rw4tJQiusk5Kl2DQkaf9hUM,1146 +torch/include/ATen/ops/inner_compositeimplicitautograd_dispatch.h,sha256=rGTQcl54_ubMF-wFN4RU1uZoxnBlVVOG1lG0Pl5lgFk,996 +torch/include/ATen/ops/inner_native.h,sha256=7PMf1z47AVkuHSZUCGboxVAnGuBxjV2K14JcmGTYT64,615 +torch/include/ATen/ops/inner_ops.h,sha256=ZJxXvVhOttMXPIx4U5b0TKEkOsu3RzDzewact0PVmd4,1756 +torch/include/ATen/ops/instance_norm.h,sha256=6ehJVBuRfus-gH2W5fuViKiuBuWIW85jlRIwGkzQuNU,1134 +torch/include/ATen/ops/instance_norm_compositeimplicitautograd_dispatch.h,sha256=4rBD4qFFUySM8TtFk07J1HGpRZNhOfmQbuMxIr3uVcw,1020 +torch/include/ATen/ops/instance_norm_native.h,sha256=iQ9PrZ_7H-hw_vzSBJRI7-6YRx4TWWKmr_c_Cj0BDc4,743 +torch/include/ATen/ops/instance_norm_ops.h,sha256=Yv7F-crKRS0uqhWBue-6Lp4tWFOWiseyIXRJut-JaFs,1797 +torch/include/ATen/ops/int_repr.h,sha256=tnc5tlI5dFmK6e15AOlSLcFiHCCSGUTOwpjuR5TLXdg,1035 +torch/include/ATen/ops/int_repr_compositeexplicitautograd_dispatch.h,sha256=N3eNdxRpL51j-SjJYR1v-_CqBZm5jKDtxN97k-xRFPs,871 +torch/include/ATen/ops/int_repr_native.h,sha256=AnsnTry865_x1Cw_6UyjaKLjTZCgGKXV223XbMjac_g,654 +torch/include/ATen/ops/int_repr_ops.h,sha256=bTs-WKFKly1AyI8zfmmLi-wm77pds4g3UmCXU6uO1iU,1602 +torch/include/ATen/ops/inverse.h,sha256=so8FTr0yYQ3gsye60Qu4hmuh7GdSPZbXx1gEQX8qJd8,1025 +torch/include/ATen/ops/inverse_compositeimplicitautograd_dispatch.h,sha256=3hZZTApRJteFgetCKmFy3PcEGPweUE4OCTHURXkKLOw,924 +torch/include/ATen/ops/inverse_native.h,sha256=5YjwYAX_3IZHa9yRfUW-AswGj9N-ufx7mhkG9dcje3g,567 +torch/include/ATen/ops/inverse_ops.h,sha256=NBMK2F6D1sXeYhN9uX5vn08mmb-NAfY26x04sRgziEM,1596 +torch/include/ATen/ops/is_coalesced.h,sha256=siZrCZ_uO9PcUcFc3EUziV9uJPyoqwH0GoNwGESBBZg,497 +torch/include/ATen/ops/is_coalesced_compositeexplicitautograd_dispatch.h,sha256=yC3pLDFtapo3PUsZdMjxINh25AJ9Oz0vSb1vAp0A_TM,764 +torch/include/ATen/ops/is_coalesced_native.h,sha256=cFwve4t9XlV79Ep89OhHLodXJALFfl6jzhwrzXPQDHc,556 +torch/include/ATen/ops/is_coalesced_ops.h,sha256=aD-TB4D0oes9jyEeASkl7asj5ud0NWztAdLgc9uuHDs,965 +torch/include/ATen/ops/is_complex.h,sha256=AgGryeMgvwojRTWCWBlxsL9PgmqR5M0eCxKD3f4hS_c,644 +torch/include/ATen/ops/is_complex_compositeimplicitautograd_dispatch.h,sha256=PM7uB6Z8ulJJUs-Q9Hkl7Ji_kWrQZb_PJr-8YDSieZw,762 +torch/include/ATen/ops/is_complex_native.h,sha256=It8w9qzZTxy9H7r-8repiLELVEvnjejQ2brKaf5lJWs,485 +torch/include/ATen/ops/is_complex_ops.h,sha256=ujLm7lyRUosIzAAtacPYmvOTM37pa4o1RJHH3kMughQ,959 +torch/include/ATen/ops/is_conj.h,sha256=RbxcIJUYje-KRqF5Y1kZVidZKyHbRWuFcSBQ5IPnx_o,632 +torch/include/ATen/ops/is_conj_compositeimplicitautograd_dispatch.h,sha256=6OF4Lw27SN7l5Gm1nWaZLYM32fjNnV1sgzw1ECfHe4s,759 +torch/include/ATen/ops/is_conj_native.h,sha256=YRcOliz3YV1z54WPXa20NS2sNP2-vB9sADF9samyXTg,482 +torch/include/ATen/ops/is_conj_ops.h,sha256=tKDoZ6nd7mjhmNcLb4gz283MYr6pUB0MurYZGFfsMJM,950 +torch/include/ATen/ops/is_distributed.h,sha256=oZX3BzaeERHCTRWfLutTRz9CNGzkSwy1BgkBRTnO4qY,649 +torch/include/ATen/ops/is_distributed_compositeimplicitautograd_dispatch.h,sha256=OPotyIqyIDnxX7pfFj1_Jd0iAajLgscjZNtEkAWNvNA,766 +torch/include/ATen/ops/is_distributed_native.h,sha256=wXQlMiYTYZPo6KMd3qnsmoV8ItuEUoVQVb0HCRNW5fg,489 +torch/include/ATen/ops/is_distributed_ops.h,sha256=cwKWAUNHt5Yh3dUEbFa8U9u4QPemwUzc97-7BuohCr0,971 +torch/include/ATen/ops/is_floating_point.h,sha256=016WIIf-ytgwVk8LryakZ9Qe1ndIl-UMFmYTms2DY1s,672 +torch/include/ATen/ops/is_floating_point_compositeimplicitautograd_dispatch.h,sha256=A06RbWpiRJ4J4i5_SmDn8j8mWdPdGioKZSH1QNYj2fA,769 +torch/include/ATen/ops/is_floating_point_native.h,sha256=U6_WKPHabB1A5G4r_Lr5KlQ1kEdm4UpDXUuLowtIQ8A,492 +torch/include/ATen/ops/is_floating_point_ops.h,sha256=zXJYb69e6U5kF5UTexO_xdRazgbw9UvWyNeVcxi8_6w,980 +torch/include/ATen/ops/is_inference.h,sha256=w0r9wWrAIaQyOYoMaZNUoNyRB9RuVsrln6qsVk9FzRg,652 +torch/include/ATen/ops/is_inference_compositeimplicitautograd_dispatch.h,sha256=ec1er2INXV2_SN0Toc4IbcmTida63Ef-Z9l20OaopPU,764 +torch/include/ATen/ops/is_inference_native.h,sha256=MfFr_vkBWNE9T8JJ6DRZFloe2riSc4QTQ9YTsFcXKcI,487 +torch/include/ATen/ops/is_inference_ops.h,sha256=7YvphPoFxkffFMcDG6v7b2Q9oxVUYJRVeIiLjf6sLwE,965 +torch/include/ATen/ops/is_leaf.h,sha256=O27KCBpTXjj4poWFtGAvBTmxh8QcXUsJwQzCj9w59m4,492 +torch/include/ATen/ops/is_leaf_compositeimplicitautograd_dispatch.h,sha256=8YSwdYkXAlqtNyy6vzoHCZrf9kg3igxbHG8bKoTQOPE,759 +torch/include/ATen/ops/is_leaf_native.h,sha256=O3qeaZB4ahO5JK96MZFX-6mCqRt2Fd4XRKOxUDZh4X4,482 +torch/include/ATen/ops/is_leaf_ops.h,sha256=BipxhqWZzNhxup7JKX45vzkDoMJX5lIl1VybDWI1Egg,950 +torch/include/ATen/ops/is_neg.h,sha256=lqo9FNpRAxeBPw4ni38ywEoOHKiUFwWlR2kJdmtBpUU,628 +torch/include/ATen/ops/is_neg_compositeimplicitautograd_dispatch.h,sha256=e5vmOK96ljDoaD1ZEQPEQ8zxrLyJ-8JTIeMgKSSJI4w,758 +torch/include/ATen/ops/is_neg_native.h,sha256=0bMXmhijWkepq0Hk_m1Pyv1Oq45ME7SKz7PJCMgYJHk,481 +torch/include/ATen/ops/is_neg_ops.h,sha256=vRHRHduzeGHFRhP4doAsY4Dn7lvSC_rYcUYdfRlcLSM,947 +torch/include/ATen/ops/is_nonzero.h,sha256=upSBZ44-TBS7qg4x8JcJwjQjSepn0MzVsTUxdgEJ5iY,633 +torch/include/ATen/ops/is_nonzero_compositeimplicitautograd_dispatch.h,sha256=OQaAY2in-cvFGggANfAfZKV3BDAtaQCHqIyGSbD5vlE,762 +torch/include/ATen/ops/is_nonzero_native.h,sha256=5DG2_aq9lveWwihGVMjWaFsi7IL9sHEF104-J9rLZmE,485 +torch/include/ATen/ops/is_nonzero_ops.h,sha256=fAQ2qCOyJj-hNSLQFrY0CDLCVxupRoBfRCbuKUPeDd4,959 +torch/include/ATen/ops/is_pinned.h,sha256=lScZAZP9DUo6UNHy4nwxRp4sZ8LFT5xoThhPhyoz3Ls,494 +torch/include/ATen/ops/is_pinned_compositeexplicitautograd_dispatch.h,sha256=s-GjbMYc_PVs99PqUYH4258s1EbslWN0f14_I_lei4U,808 +torch/include/ATen/ops/is_pinned_cuda_dispatch.h,sha256=okG_0xu4JfuAUpcE_6WO90NuwW-V2yA1ZJoOfnJMHbQ,766 +torch/include/ATen/ops/is_pinned_native.h,sha256=fdeu3b1bTyLvKooqy516aIT1Lc93B_7SLCbzszTbjxk,642 +torch/include/ATen/ops/is_pinned_ops.h,sha256=bEaV6ovN4Kg_DHangmAm1pP4_a4kAV7jtN9ctxmBz-E,1072 +torch/include/ATen/ops/is_same_size.h,sha256=yFEvT8v8yr-FPH9wMKlnHPwOZ3lYGC17fSS40-FVU8s,688 +torch/include/ATen/ops/is_same_size_compositeexplicitautograd_dispatch.h,sha256=wAeTAaogkdseFll4Dul7AntZUVKfJbPlw09vsWq51A8,790 +torch/include/ATen/ops/is_same_size_native.h,sha256=EkBdiYwflxKSVVEc-Mp0dkokoNlttlJlJIZQcvTilLw,600 +torch/include/ATen/ops/is_same_size_ops.h,sha256=s2fL7HmsXz4FGSeOm47ngHotFzoLhGW6s7_G8MvkFhQ,1051 +torch/include/ATen/ops/is_set_to.h,sha256=YCobocZeT_m8HGIQ3ZCfw8v5gAWv-M7h08lFljiNLg4,494 +torch/include/ATen/ops/is_set_to_cpu_dispatch.h,sha256=C44peVDc8STgF5TlW3naz32pjtVhxvXWuSwDqg_Yge0,744 +torch/include/ATen/ops/is_set_to_cuda_dispatch.h,sha256=7uE-ZcNeaYWMlZ21ayYc144zs83lk03eFWl0wrh-kCw,746 +torch/include/ATen/ops/is_set_to_native.h,sha256=BqdtrRdwKrKX6jVd846w1E-XB6xKDo0Ocyke5qpKs68,511 +torch/include/ATen/ops/is_set_to_ops.h,sha256=7lrPVDJna5KMr3bM8NUbbrysfe5dqgf-1P1LFDceEBM,1045 +torch/include/ATen/ops/is_signed.h,sha256=Fxi5jOHRb-qw_ps6j_WeZnQGX72Px8mxqypu1iveDQg,640 +torch/include/ATen/ops/is_signed_compositeimplicitautograd_dispatch.h,sha256=u884jU4_OTpQKNfWKRugrlpuLGpQacdZSKNz7saFGHQ,761 +torch/include/ATen/ops/is_signed_native.h,sha256=h492bHN4u5GmDPwUwruDsWSRKmu64rAIXw7nA9BdTPo,484 +torch/include/ATen/ops/is_signed_ops.h,sha256=HSULAHgCggTv4luaAD5bZShR_iKDxADMLYLgSgnc4JA,956 +torch/include/ATen/ops/is_vulkan_available.h,sha256=Cs0oRN18KVruskdhb6JuDaP472b-0Fw2s3RtisxbwEY,631 +torch/include/ATen/ops/is_vulkan_available_compositeimplicitautograd_dispatch.h,sha256=HHFOPI52jZvU2ZZz2YXIVJucZIy6qadOfvDePH-_jgI,748 +torch/include/ATen/ops/is_vulkan_available_native.h,sha256=DaMlNMHEYJq5eBkkBet3OiBiH2P-jTgZWA1KnWREBpc,471 +torch/include/ATen/ops/is_vulkan_available_ops.h,sha256=pmwy91MGQmC4edHZPQ8LZg8Xm6XxFUkA8Cilal0c3IU,909 +torch/include/ATen/ops/isclose.h,sha256=HEAepcQ1KKn7GMi0F7YqZJ--L7Y7F7mRnUbp56mqGwI,817 +torch/include/ATen/ops/isclose_compositeimplicitautograd_dispatch.h,sha256=2sPLXHrcWuqvEkhLXP_wSFANpRyDt6VpH5IVoYDmyFU,851 +torch/include/ATen/ops/isclose_native.h,sha256=2sWKRXg-i9lw4zYK3jw58JEi2GooorrAilg2m5MgVZU,574 +torch/include/ATen/ops/isclose_ops.h,sha256=VwCkK9U3O1iITrdxaLca5wez0fBmCtWUE72lAAepFEk,1220 +torch/include/ATen/ops/isfinite.h,sha256=cJxz_yuFPzqDCPmMPbSKg3-I8xWhpek6B0yCa3HF_Nk,633 +torch/include/ATen/ops/isfinite_compositeimplicitautograd_dispatch.h,sha256=6gIF-qr537lG4VF_zaUN8eX6t1JmilAHpTwSK2etg_Q,766 +torch/include/ATen/ops/isfinite_native.h,sha256=JYP5t-WkgdGH_ieuI7H3Wj_cMcLGGGhUOk8zoMFUCkk,489 +torch/include/ATen/ops/isfinite_ops.h,sha256=bYX8MffWS3zGN1sfD-e7rVSX4OeYPgSuWA2fRlmmqBo,973 +torch/include/ATen/ops/isin.h,sha256=jzUTgnb6n6UqQQMuXB_kkZQX0kL7955esd1c6k4DzJI,3980 +torch/include/ATen/ops/isin_compositeexplicitautogradnonfunctional_dispatch.h,sha256=DbQSEtmQVYZYcTzdmbToOsTaJkczCnWxrgAOR1Y54kg,1139 +torch/include/ATen/ops/isin_cpu_dispatch.h,sha256=PIGEL0_12S73-xp3zUZjWt87LY15lu5yHfma-r8-E14,1986 +torch/include/ATen/ops/isin_cuda_dispatch.h,sha256=lnkeCo5IIHaxVBka7jb0rG0N96Z7hfYd4Y9na0VPrHA,1988 +torch/include/ATen/ops/isin_meta.h,sha256=6vnEA-mtStR0-tj80l0H9PkrIYjp-43cYTA-iXxf3Ys,1069 +torch/include/ATen/ops/isin_meta_dispatch.h,sha256=r9pisiDzRKbOg2rHU-hd5srMZDR_hU4cfq6-RtDn5gc,1988 +torch/include/ATen/ops/isin_native.h,sha256=8HaKJBH6BRMQ6dNzveMsnCwVB2b6nOMfHNxRvoUpHfY,1170 +torch/include/ATen/ops/isin_ops.h,sha256=MSs1WGYIsmyYnYsU9gRfG2gw-DzFLiLwAz_Wph5cH8s,5582 +torch/include/ATen/ops/isinf.h,sha256=Tr9YQ3ImBR6oqGLlecMXI7ZfClHauq7M2fI1V4ut2z8,1005 +torch/include/ATen/ops/isinf_compositeexplicitautograd_dispatch.h,sha256=2vxqvNiqAMknXD2tgc0XI0XPhKho-_3QdmaQ9uz9zDg,918 +torch/include/ATen/ops/isinf_native.h,sha256=3MGemUmd5naePrkYeizOxfs_OJuwk6isCfXKbwai3eQ,752 +torch/include/ATen/ops/isinf_ops.h,sha256=y1mrl42kXgHRiK-gNFYv-Rti4SPHNaIEtA6PTM1qMVU,1584 +torch/include/ATen/ops/isnan.h,sha256=JsHdU8jZl9yRQVJR6QLHt9l46tq0WWrDS-w8d5_nQgM,1005 +torch/include/ATen/ops/isnan_compositeexplicitautograd_dispatch.h,sha256=0rerY-imE2tu_5ntwS1WYzpWFc_nfMmllp7BPHauBuE,865 +torch/include/ATen/ops/isnan_cpu_dispatch.h,sha256=RvGBhKcczUpWPCaNlnHs4yLGfy-9uJCZqPB_YMx5pkU,719 +torch/include/ATen/ops/isnan_cuda_dispatch.h,sha256=yeJ84r1Mf9u_6eB7k1NxWC--OHmdv1MGg9_Liiw3jfc,721 +torch/include/ATen/ops/isnan_native.h,sha256=PtIkzMuxehtt2jUvMjay0suCo-i7PH21VOEyUa-vFnA,687 +torch/include/ATen/ops/isnan_ops.h,sha256=Fsfl-GYZBdY1iLEwqY9PbsGu1KW_lvwLciR2O8pqTe8,1584 +torch/include/ATen/ops/isneginf.h,sha256=jl548WsjXxiyNCSXZWnc-7umKLN5agMDfudw3NkFOTk,1035 +torch/include/ATen/ops/isneginf_compositeexplicitautogradnonfunctional_dispatch.h,sha256=na5G02vfqv_qZ06ZhunIX4FVd2OzbGBEJ8EKgcRYnx4,792 +torch/include/ATen/ops/isneginf_cpu_dispatch.h,sha256=_6-kZGLygWlMHzQNvQtJFcSDe4TsEr7fxpTgoW53y60,883 +torch/include/ATen/ops/isneginf_cuda_dispatch.h,sha256=-kgtLYxzmPSPTNUXJR7bX0iXrO9iSxmhJL-vEDidgzo,885 +torch/include/ATen/ops/isneginf_meta.h,sha256=lutNGvey8wQN4SayR_4viMzQuPoVebM0Kym8-bo1s9I,588 +torch/include/ATen/ops/isneginf_meta_dispatch.h,sha256=hApmHsMa8d_yZiCwzPRYeuqB_6XSISXrAAVguQ7_Lcg,885 +torch/include/ATen/ops/isneginf_native.h,sha256=KHpZr_OHtPXoV1QgcxxOq87XhqjX-m0dBgLfq3jliIo,921 +torch/include/ATen/ops/isneginf_ops.h,sha256=1t_cOZEy9aJjuj1DezuqdsEls8sL4l-qQ7AJ2snqGjA,1602 +torch/include/ATen/ops/isposinf.h,sha256=Kd_FIKBWXHM-zguP2e5ilMYTORH8j7oc-nYR1eejpKk,1035 +torch/include/ATen/ops/isposinf_compositeexplicitautogradnonfunctional_dispatch.h,sha256=bkhRb_WOB7xTExZM9-UtXhWQ4GxJMVXHphjl119uNBI,792 +torch/include/ATen/ops/isposinf_cpu_dispatch.h,sha256=qwFtIg51JGhSsvkKHaVUSaocwRxmwEmVTlkygP8yfWk,883 +torch/include/ATen/ops/isposinf_cuda_dispatch.h,sha256=dUqldPPiINjCj26On1xOF9Xh-xfK5EekKc0zSFYzmSs,885 +torch/include/ATen/ops/isposinf_meta.h,sha256=jKApVqS3K9lpXXHVA8Sjh65pRVJ9mKZz1zM5NI7sQwA,588 +torch/include/ATen/ops/isposinf_meta_dispatch.h,sha256=AwDhbHfTlqRygBVDMdrZn6dQ3likrfN9GnG27sEYFn0,885 +torch/include/ATen/ops/isposinf_native.h,sha256=P5kVC_yykWM3bSZ1Zip9bTX2iALVYcDjfuHd84fV4vs,921 +torch/include/ATen/ops/isposinf_ops.h,sha256=imsB-x0YEpksrLSzL2ZY02fQCSA1CzWDB1BERIfibrY,1602 +torch/include/ATen/ops/isreal.h,sha256=h3QpNkuqJwsblhZnvsTrhnkmBjusruONs8-8SpUnAkE,625 +torch/include/ATen/ops/isreal_compositeimplicitautograd_dispatch.h,sha256=wssOt2_7Jl_wPKpeF8gBgvZigg7_2r8N1YK5V9G5Xyc,764 +torch/include/ATen/ops/isreal_native.h,sha256=cQ9NrL_AT1te7mL5z_LWronW7RqYNvxNrOiB8MWaV6Y,487 +torch/include/ATen/ops/isreal_ops.h,sha256=xd8nb3gOx5lStloL-l7xyPZmHAPf9VQCDk4UOLMOYHE,967 +torch/include/ATen/ops/istft.h,sha256=CDhTtmCeHmCbSm7ReCceyS9z2EGivfbs_pBbNL4E67I,1208 +torch/include/ATen/ops/istft_compositeimplicitautograd_dispatch.h,sha256=WQ_vuAclb7KcZACPgmIaZI6oWwPWDfKm-8VkdIK7svU,1074 +torch/include/ATen/ops/istft_native.h,sha256=PaxZSXXN08B-M-BLQlxH5O9Z8I29SwoPyLEx6eKvB0c,797 +torch/include/ATen/ops/istft_ops.h,sha256=_tAFqbUWtNRi1SFhJMxmrSYc4QBWX-uA_j3Iz_tRr_E,1780 +torch/include/ATen/ops/item.h,sha256=cBUeSvTKuuAai3mIRwoycGrZE8EOO9Aobd19yzQBQSU,489 +torch/include/ATen/ops/item_compositeimplicitautograd_dispatch.h,sha256=ZlQsPmxfYxn7eSvY3f1D_S6fYZrRSSveSxKGU6OrXA0,762 +torch/include/ATen/ops/item_native.h,sha256=oBwqDUIj2AeXXBQx9SOBIgsLMKPf4kfQuOhS69Wy4YU,485 +torch/include/ATen/ops/item_ops.h,sha256=58ljbr2AU3IXw3QxjTycL2fZr80hPTwC8N9n5n9nL3g,961 +torch/include/ATen/ops/kaiser_window.h,sha256=ZKe7PsZ78mSfMgMtaL-v7VqlKG6NBSI-_3S_4gubkZM,4953 +torch/include/ATen/ops/kaiser_window_compositeexplicitautograd_dispatch.h,sha256=NWc7OTvDdAN44QXzOQUt_1J3MfRFPEJbpWAAfM1Ybrs,2238 +torch/include/ATen/ops/kaiser_window_native.h,sha256=heA3yZKkP56YalRRrD_HwBtNH0UDoGlXVzmQLPnt0xg,1406 +torch/include/ATen/ops/kaiser_window_ops.h,sha256=Fcc77PFz5L6fDn4tSYZPs9MdEywbznQNLTw_KW0h0UQ,5768 +torch/include/ATen/ops/kl_div.h,sha256=BuXuz6sCN9Ta7UlWRBzjx4dtDpbddI3jjKu8xOpDDwQ,806 +torch/include/ATen/ops/kl_div_compositeimplicitautograd_dispatch.h,sha256=cEFMesvwyJaiJr3hpFfTrd231Z6ZnUXKVb5vbOXWXNU,853 +torch/include/ATen/ops/kl_div_native.h,sha256=Ts0dSAZHFFlVNKoSN7QjbHrhzuqk2vwoapUu2gj5LXE,576 +torch/include/ATen/ops/kl_div_ops.h,sha256=YhE6RDkgFtmmudDi4R5t52NWSL7XEXl6xUK4hPl1n1U,1189 +torch/include/ATen/ops/kron.h,sha256=Vgb5TDxSHFeLjPStObgwePf-tyHbPdiQxca9o8m_dug,1136 +torch/include/ATen/ops/kron_compositeimplicitautograd_dispatch.h,sha256=M4rrYdqvzM-H0qSdsO59O-lkY57No4I6ENSI9Mkm-L4,993 +torch/include/ATen/ops/kron_native.h,sha256=SyvImcxev1j6TbkTEPPfqFqhMcmctXnQZ1Jlgq786OU,613 +torch/include/ATen/ops/kron_ops.h,sha256=fTTMYcrNXDfUT27iNi9LU4YlN0BClLg0DNZy7JjQbFw,1750 +torch/include/ATen/ops/kthvalue.h,sha256=3Nhqvjua3qvFPdi59gJ0NKYcAyVAVBm51XVmidOdk4c,2811 +torch/include/ATen/ops/kthvalue_compositeexplicitautograd_dispatch.h,sha256=IMuzI1cKCxbkJ_JSpH1XfTSrU8L55kuen2Knwbg3YhE,838 +torch/include/ATen/ops/kthvalue_compositeimplicitautograd_dispatch.h,sha256=7eSi75LeTWUpcsSWQ0inYryRG1oURls7RcHp-4_4Y8w,1194 +torch/include/ATen/ops/kthvalue_cpu_dispatch.h,sha256=NiFRB46RuO_2NaGAbSZVzzcYxKOPPgR0kJaN_17OTEg,1016 +torch/include/ATen/ops/kthvalue_cuda_dispatch.h,sha256=LxDzYMfSWFkv9FVF4e6y1tn7h4LpJ60a2KMFxiCwUdk,1018 +torch/include/ATen/ops/kthvalue_native.h,sha256=QShWPUI29coJhu6pDz_a20gU-B9mLj4bqHut0rE6v_U,1213 +torch/include/ATen/ops/kthvalue_ops.h,sha256=LABuJlUEtsijE4g6C4SAPEYzFYg9V0TRniXUhz9lyNc,4002 +torch/include/ATen/ops/l1_loss.h,sha256=0p5sissDSFixZeY59NasAgH6wANZKq7E7_rH5CyYfyI,749 +torch/include/ATen/ops/l1_loss_compositeimplicitautograd_dispatch.h,sha256=DdwctjgHfcBJpq3IbK6ZSJlfoCeId2T4SJoq0F_Fs0U,831 +torch/include/ATen/ops/l1_loss_native.h,sha256=Jg7QRMt7uskzT6D5rX3m9yzlyj2awDARQNwTPnRik9E,554 +torch/include/ATen/ops/l1_loss_ops.h,sha256=t0gDnTTg4VP7Emu45tcv_kjjGn7wYak8TDa9te95kWc,1126 +torch/include/ATen/ops/layer_norm.h,sha256=mEIQ9o60XE9LGQGdvDTGgsDT49L6TMkD_NecxtXpZfY,2359 +torch/include/ATen/ops/layer_norm_compositeimplicitautograd_dispatch.h,sha256=uBmUcyyHJ_KZ3H1mm2yxAIUakQ72BRseuqdGObuc1QE,1167 +torch/include/ATen/ops/layer_norm_native.h,sha256=PHhEuDKlI-9-zkplWkj114cTrIoaJEZRbfjaiF_RkbU,667 +torch/include/ATen/ops/layer_norm_ops.h,sha256=mur9TpOd3D27QSMrIJAhmtpdiY-QWWAaNNuqgDJEa30,1497 +torch/include/ATen/ops/lcm.h,sha256=G7KQydvbxgiClz1rfhtBmgMMu3E2Qf1Ndy2NoS97MO4,1306 +torch/include/ATen/ops/lcm_compositeexplicitautogradnonfunctional_dispatch.h,sha256=cAGOr3tQDesg_kq6DxPStJVQjiQ_JZ1LnoT2_XLXxt8,887 +torch/include/ATen/ops/lcm_cpu_dispatch.h,sha256=EIqGnY-65IygmauP0_oPS_0Noeo7DtQE-qpapsaV-cw,1020 +torch/include/ATen/ops/lcm_cuda_dispatch.h,sha256=mH-0ksfTKxqtai8mGEwjGto_Z0weRSjShnJilzbFEyU,1022 +torch/include/ATen/ops/lcm_meta.h,sha256=z9k-UKYXJwRcTa4kx3JKXOSvTd5iSTzQWkiRuQWlONg,609 +torch/include/ATen/ops/lcm_meta_dispatch.h,sha256=WZ8--OWURo4XcQEyY_OT0uBGK3s1AKvgYO_aRDcx1Ac,1022 +torch/include/ATen/ops/lcm_native.h,sha256=RnMFfka8rKGvL1PJ-U2y7zJ4Dbd56K89GzknmGIvDRA,624 +torch/include/ATen/ops/lcm_ops.h,sha256=6FVe64z4a9eJa4KTJVwgiif4_tkL11X5_t1wpxbE5Z0,2353 +torch/include/ATen/ops/ldexp.h,sha256=1Uu4GFwHuhCOOYAvETDaonfvkpNerDyZ5PwPz-XPZ9U,1346 +torch/include/ATen/ops/ldexp_compositeimplicitautograd_dispatch.h,sha256=aAt401aajRcGOgUSHa2dWY4Y4UHJ2IJ_8k89TR0TuaY,1072 +torch/include/ATen/ops/ldexp_native.h,sha256=KOkRskDN4-5demkp2CWuEFgyfGxZhgt9_eC3z_YJ1DA,691 +torch/include/ATen/ops/ldexp_ops.h,sha256=m2M-LWql2APRm7CZ3oFj97SUCKG_rqP-Pn1RnhXdqAg,2391 +torch/include/ATen/ops/le.h,sha256=vMAOyN47eNd5xFLcOUfdaz1s6Jy5ZhCGSCntZbyBCsM,1830 +torch/include/ATen/ops/le_compositeexplicitautogradnonfunctional_dispatch.h,sha256=nAFDacOx2DNEjeHaEtA44QHZSX5W4MlwF1YcJgvWt-c,1034 +torch/include/ATen/ops/le_cpu_dispatch.h,sha256=uhlqk131ERYt8VmsnuqP2p_91C3jOVHkcijSPAqQIKA,1366 +torch/include/ATen/ops/le_cuda_dispatch.h,sha256=fV_zhFJUL2NzCHJgbyLnKKPOiG3SPXxnyqTRCwl16Y8,1368 +torch/include/ATen/ops/le_meta.h,sha256=lhxN7wQ-cOIcedtn_chq4GXMwgnSkv07CGZmCMCNjuw,762 +torch/include/ATen/ops/le_meta_dispatch.h,sha256=9ZuWvTOL5uQ9PO0A1yj_64Bh0uf3tVFGJrX6gWq2JFs,1368 +torch/include/ATen/ops/le_native.h,sha256=BME4o_ymmb8tcmUUaTzZi10xDjh2FlRwRIb2feCQyB8,1216 +torch/include/ATen/ops/le_ops.h,sha256=X1HCyn6xXonUOGGfQvzp7K-aaQNcPxk4AZ0KRXAEcTQ,4376 +torch/include/ATen/ops/leaky_relu.h,sha256=gAWTrPJKwthgrnshlocx4MOSlaml89VXZDlqQoEbwsY,1540 +torch/include/ATen/ops/leaky_relu_backward.h,sha256=_UuYip1r71f-2xxtDn7x2bL0uE2O3b6MI2z7gguSaB0,1806 +torch/include/ATen/ops/leaky_relu_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=JlDYL89-QIouDMoca884wLPQYT8XApBSRAbQ4ry3z6c,891 +torch/include/ATen/ops/leaky_relu_backward_cpu_dispatch.h,sha256=qnwO7C80nvREYGs3FpBFFyfRPOSTZMBXZ_faT7ZajB8,1194 +torch/include/ATen/ops/leaky_relu_backward_cuda_dispatch.h,sha256=7nXYkqzamWEWSL25DLwqZjClrHSdBAJAm950XI4ILwo,1196 +torch/include/ATen/ops/leaky_relu_backward_meta.h,sha256=0geKet73rP7_Zx1j9hdqPZdydXEo-OII3FtuITA1k8A,687 +torch/include/ATen/ops/leaky_relu_backward_meta_dispatch.h,sha256=DTbDlJU99_xlks6iXwUEBc6RDnhOMwwz8XxeZvD7ZL0,1196 +torch/include/ATen/ops/leaky_relu_backward_native.h,sha256=lDdD-8MVmg5k-Ubq2KNu9qebbwWGPEdO94def4Jnxv4,741 +torch/include/ATen/ops/leaky_relu_backward_ops.h,sha256=heuAzp6cEPownUHWC52GdRRrVQj03gF2CGpXSB22CNg,2282 +torch/include/ATen/ops/leaky_relu_compositeexplicitautogradnonfunctional_dispatch.h,sha256=45bX3czHACelwUcKfixLNRmJ2GZ7gaBLWUHTgduZ3Wk,929 +torch/include/ATen/ops/leaky_relu_cpu_dispatch.h,sha256=MNnw9gneQFVevSNjYrd-zPmFWcW_64NhwWUAAVvHIP4,1099 +torch/include/ATen/ops/leaky_relu_cuda_dispatch.h,sha256=YpnBgBpwRy_wRWLjQaA3NcCz8DX-7oP3J57iqJksCEY,1101 +torch/include/ATen/ops/leaky_relu_meta.h,sha256=YwzjvVb1zrTRwVq2hr7Gfkiw_clIsirue-1A4XsV7i8,625 +torch/include/ATen/ops/leaky_relu_meta_dispatch.h,sha256=UgSbPrZcazh0-M1-FTSRT6tstp6kmhSzck7iGWx-ulE,1101 +torch/include/ATen/ops/leaky_relu_native.h,sha256=oU6v39PQhPay1hY9xIzI9Y0FyL2vIVwpBIdRKcCJZWI,1006 +torch/include/ATen/ops/leaky_relu_ops.h,sha256=J6xZJuU5N5niXGOeSt6tMQ0UzAFFVBNrC0SdHxsAdLI,2512 +torch/include/ATen/ops/lerp.h,sha256=5M3JRv3oqR0bP9HNn48JmtUsfB7fY0Wkek5r3LGYyVc,2132 +torch/include/ATen/ops/lerp_compositeexplicitautogradnonfunctional_dispatch.h,sha256=k8mmxOxkIwdeJXsVaq8Ch5J7nps_YfZLW0UfXivqMC0,1142 +torch/include/ATen/ops/lerp_cpu_dispatch.h,sha256=cGDE7_7aMW-bmQ50UQnPdxFlmcmu19N2FvcdSU6oY-U,1582 +torch/include/ATen/ops/lerp_cuda_dispatch.h,sha256=46PgRppUorrhLx3oOHc3HLEg_f5fA4jkIw_wrMLTJ50,1584 +torch/include/ATen/ops/lerp_meta.h,sha256=1aaMbxOF8LAHapbUc4cLLUV8LGzzFZ6A5yYC53IF0qA,816 +torch/include/ATen/ops/lerp_meta_dispatch.h,sha256=OAvSXM5utS3BzjkCyCRIj3OZMS0im-iHoX2YVs29Gpg,1584 +torch/include/ATen/ops/lerp_native.h,sha256=gqOVrXLmNjiakkGCDE4dQjrW_FF79xDJFF93Zh3Ec4A,860 +torch/include/ATen/ops/lerp_ops.h,sha256=qr9urGJU5te0s_cOIVv0Lvq_PSyOb38Ax6mqg8UiJkQ,4910 +torch/include/ATen/ops/less.h,sha256=ZOsgSMadm3fFynW7MZaxCHYdgQzGLfROANscig7af4A,1868 +torch/include/ATen/ops/less_compositeimplicitautograd_dispatch.h,sha256=h8_iLv2NZ_vWcXEJ2kE0oqxPktH5kRQxzaLZb5u7lAg,1426 +torch/include/ATen/ops/less_equal.h,sha256=sByiEjLvrMDJo2Ly29QpL77zLp0Z7KOLwD0Rh2WB1js,1982 +torch/include/ATen/ops/less_equal_compositeimplicitautograd_dispatch.h,sha256=HldrZ7I4qFiLblsbZpNUp09lYq00e5bQXDatHI6DhKc,1474 +torch/include/ATen/ops/less_equal_native.h,sha256=5nXepScBMcM0e_n_iL72-vGqzYtJOIS8Fy3AOMTQSRo,979 +torch/include/ATen/ops/less_equal_ops.h,sha256=_MOb2B-FrN5uscp4UDKyvGnW_KBwlHnhyH8SaolaOAM,4520 +torch/include/ATen/ops/less_native.h,sha256=pwqblzk5etREZLoKnraVMHGzGpQQor9oy2YLkTrA1wc,943 +torch/include/ATen/ops/less_ops.h,sha256=2mvp0zDOTz6k7UCRhBCOT_lLK-8-uNl1Pb51-0yhEpY,4412 +torch/include/ATen/ops/lgamma.h,sha256=XM7ZQeCOD67_p3IhfEs9qJ7NIL6zZkmCeYoswIiUoq0,1015 +torch/include/ATen/ops/lgamma_compositeexplicitautogradnonfunctional_dispatch.h,sha256=rZqhFXhcU-nmbZ2wOuD-u8KHNdgYMpRYQt-BzoxS8mw,841 +torch/include/ATen/ops/lgamma_cpu_dispatch.h,sha256=T8tQq41Ao_PKjQaKTYXKQJ03d9wMAtr9NEFUsgpJpS8,928 +torch/include/ATen/ops/lgamma_cuda_dispatch.h,sha256=MtY18bz8r_yeUjUFbl03hUIQGT8lhbqYbcBxrZu_FAU,930 +torch/include/ATen/ops/lgamma_meta.h,sha256=mVcNa3SJV_u2Dt_N1lYzcQiCZVLZOOiv0u1LvZuilJU,586 +torch/include/ATen/ops/lgamma_meta_dispatch.h,sha256=URa2AhwDKi5HIkPzGTb8jyjdf3PbplyHKUY8boVYgio,930 +torch/include/ATen/ops/lgamma_native.h,sha256=wmy1y41Weh5niuS6kMLFTZM3bsGAdtaSu87hCkku4Gs,607 +torch/include/ATen/ops/lgamma_ops.h,sha256=JnyEbAdY_gMMukeYq-Wfz_M6NZ7cPgoLklKZBOG80Ww,2122 +torch/include/ATen/ops/lift.h,sha256=-ETrVpyCoGKp01wmVX1g_FZCFAEhfIxV50ZxVXLkoPg,995 +torch/include/ATen/ops/lift_compositeexplicitautograd_dispatch.h,sha256=s_qMNtOHoiiLcIa0ORiGWFYuUtN-sI25ELheo3nlNMU,915 +torch/include/ATen/ops/lift_fresh.h,sha256=ITB3FOammNPaJKRViQlojOxjhRbQFjTEMQ9JX_8nIkM,647 +torch/include/ATen/ops/lift_fresh_compositeexplicitautograd_dispatch.h,sha256=Epp3eIkqwBXIoyRvlyOC37GqqputV8dEDUxfUlePUl4,768 +torch/include/ATen/ops/lift_fresh_copy.h,sha256=ickiZ6UgkSXHy8vmFD9AN0jqbyx13IPAyk4LBkWpxcU,1105 +torch/include/ATen/ops/lift_fresh_copy_compositeexplicitautograd_dispatch.h,sha256=V638bvtxhLG_tfXr2hDynzA1nlm3F38RiERbWUGz8d4,885 +torch/include/ATen/ops/lift_fresh_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=mUq97k2g47V7UMj1bwth1mj96g3dmFpk93xGVY_hMXI,799 +torch/include/ATen/ops/lift_fresh_copy_native.h,sha256=hnKkY2merRN9g4brPwQS62robFxnyV2onM1JYJrXfuc,583 +torch/include/ATen/ops/lift_fresh_copy_ops.h,sha256=SLKg74l0RanMmQjUZ2-gZ0Ki78qDr4RsdpnApdcd4Mg,1644 +torch/include/ATen/ops/lift_fresh_native.h,sha256=TMr6FmHGIevX2xlmKCHZXERq2HPQ7-9F3ZEPn18vfeM,491 +torch/include/ATen/ops/lift_fresh_ops.h,sha256=yzbH_ttGKv-PghCPfNJM5F1e5wz9lolD8lYFkwbbwdo,985 +torch/include/ATen/ops/lift_native.h,sha256=l9cakGfAOWbxTo3xnTlXXPtIGlurq835y8lD67TH1sg,561 +torch/include/ATen/ops/lift_ops.h,sha256=aTxz5F-HjseLvQs3Y19U3NUmU1Pun6xm58tZDaUlAw0,1578 +torch/include/ATen/ops/linalg_cholesky.h,sha256=lQtgovYxDEU1DXK8nXjvrqwQg8kcXVfI5bJyprRqTME,1231 +torch/include/ATen/ops/linalg_cholesky_compositeimplicitautograd_dispatch.h,sha256=AeQTce46XEZ1XMKLAvuoyta2I_xPueqUgkVSqn0ALUY,996 +torch/include/ATen/ops/linalg_cholesky_ex.h,sha256=XwoytPIbxFo5hId06PrUfI42sUGoUTycUFnqTxjpjKU,1649 +torch/include/ATen/ops/linalg_cholesky_ex_compositeexplicitautogradnonfunctional_dispatch.h,sha256=DmQ8sjVgsv-xvdPtLZ2jc6zlXH9nRqvTD7_is42Egx4,870 +torch/include/ATen/ops/linalg_cholesky_ex_cpu_dispatch.h,sha256=jp6nL0xHjHECvBbG-05mp0ZZH4oqU5bZ-NczqNyoWc0,1143 +torch/include/ATen/ops/linalg_cholesky_ex_cuda_dispatch.h,sha256=9KQ1cc9zfJyNExBdNjbpc5qfajZfbm9bW3uCRf6e_EY,1145 +torch/include/ATen/ops/linalg_cholesky_ex_meta.h,sha256=9QXR4WgVMhNiwZXGKXaueV9F5jonjM6No5cm-JQmpqQ,629 +torch/include/ATen/ops/linalg_cholesky_ex_meta_dispatch.h,sha256=oZzyKuoZClkeng2J_RTrQGjLFgm_uAOvVnV9BU4twnk,1145 +torch/include/ATen/ops/linalg_cholesky_ex_native.h,sha256=P2I6PdwaoBq68MQ7xx1BBlAlxMfE_SDKe5sDawOBWZM,697 +torch/include/ATen/ops/linalg_cholesky_ex_ops.h,sha256=vjew4Dg7kPUdmkuV_QTSjvff-eko8G2Hnlcnp-e7cAA,2150 +torch/include/ATen/ops/linalg_cholesky_native.h,sha256=EvF-X1f8_iZyR5p_gnVtT6Y1TtiTeITAJvGtYJvnJZM,613 +torch/include/ATen/ops/linalg_cholesky_ops.h,sha256=_srkPW1y_WvhJcXRnmX0SAZ2rydqb-Zt3AsKlXqXs4I,1743 +torch/include/ATen/ops/linalg_cond.h,sha256=q2pd61YEvRZopLGYQrpBN1sENwILsohFfU_kOYIfOjQ,1955 +torch/include/ATen/ops/linalg_cond_compositeimplicitautograd_dispatch.h,sha256=kV5WFK3rVG4XG-7olhiMMbc1uXx-wuLvNwGZEkYSFS0,1359 +torch/include/ATen/ops/linalg_cond_native.h,sha256=F_70aTqGEZ_uCUqadJkUOEuy6zmnUO721j_hcyAGYkw,844 +torch/include/ATen/ops/linalg_cond_ops.h,sha256=ufGD248ECLGOVzicxTswPwYJivewxd1fic-ijNTXaho,3221 +torch/include/ATen/ops/linalg_cross.h,sha256=W3UaAQloW6wQzjdaWPoUPlxaCN71jL2J7phddiqzprE,1315 +torch/include/ATen/ops/linalg_cross_compositeexplicitautogradnonfunctional_dispatch.h,sha256=WxdqUrIeN0dnAB1Dhsrvo4heiigJ1foqgQbNPkIrs-I,838 +torch/include/ATen/ops/linalg_cross_cpu_dispatch.h,sha256=GbUiLkfRAo3bBs_hP60FNHqbZtBvvu7k9t0HO5Uda1s,1018 +torch/include/ATen/ops/linalg_cross_cuda_dispatch.h,sha256=nJYsij1yAWkz-u6h9zD9C18rW1t6gYRcN_9KOlgo4dw,1020 +torch/include/ATen/ops/linalg_cross_meta.h,sha256=aKi1uv86XVufBIqJ61AacgxYZOFmJ995A58fkFvP9iY,631 +torch/include/ATen/ops/linalg_cross_meta_dispatch.h,sha256=llqEj0BPdym1Z4fNBLfVb4gdzOSVsbO2LeFRLPa_C48,1020 +torch/include/ATen/ops/linalg_cross_native.h,sha256=DQxUusqh5G_cemtygLcYn8MVKEOeqks6LNTs51qy9Fo,777 +torch/include/ATen/ops/linalg_cross_ops.h,sha256=QD-YQ_8gXimbahQ8Geh2xvN-TNX_OTVF1xNxhvMnGJ8,1895 +torch/include/ATen/ops/linalg_det.h,sha256=CyvnNZfXgdtaksuzO7qcgPpY8KpVvpbjFTQA6pm5r_4,1028 +torch/include/ATen/ops/linalg_det_compositeimplicitautograd_dispatch.h,sha256=dYCsBZYJzGdz__EwNHNbA4a0nbCgxN9B8p-1OA_6j8c,924 +torch/include/ATen/ops/linalg_det_native.h,sha256=QtoTQYdfwI1UVSS4sACgcGFJ1IzQva3FYAFNz6JIy4c,567 +torch/include/ATen/ops/linalg_det_ops.h,sha256=gSreHedyKUuGrkFd-IxpnQiXVJlw5TJH9dWct3rF0HQ,1596 +torch/include/ATen/ops/linalg_diagonal.h,sha256=qHp93j8ma1FSE5XrSYFXvyLrH93cCRhtd36_A2LKVfY,773 +torch/include/ATen/ops/linalg_diagonal_compositeimplicitautograd_dispatch.h,sha256=PUqGbsFh5qRWriLNSflGHNEKFKsbKxCyFTz2dw2w7KA,822 +torch/include/ATen/ops/linalg_diagonal_native.h,sha256=PWheJBfpHMWUJ9bKSrWAY0eKMJtX9KsdGEjk-wSoEOI,545 +torch/include/ATen/ops/linalg_diagonal_ops.h,sha256=OFL7gXgY8v0hzrhYi7KZ-ml2oX-jSPANiXT3t4rxHnQ,1149 +torch/include/ATen/ops/linalg_eig.h,sha256=s-hbCPnB2iEQkiNX1SnO1dqgNFR44FKCZmyI8SAGmhQ,1427 +torch/include/ATen/ops/linalg_eig_cpu_dispatch.h,sha256=IXX_aHDbu9PYzx7yxtEuljgMXaDewPUWb827O5NRo7U,1038 +torch/include/ATen/ops/linalg_eig_cuda_dispatch.h,sha256=H7rrfuazDX9pi6DtBjvZxco3-IS89JNEiz9yleGGRes,1040 +torch/include/ATen/ops/linalg_eig_native.h,sha256=pl8gXCrgLkEDF1qAnJLIDzqQ8kNNn0R0p9FHCOmJsu8,660 +torch/include/ATen/ops/linalg_eig_ops.h,sha256=C3T6wXAk_qo3jZgxsCeYYmXUt4XYEmDtTkBcWHL8_T4,1961 +torch/include/ATen/ops/linalg_eigh.h,sha256=Nf18N4L7BKpwPjtWwL3unO4selAMELqdKMFpfVTXwSQ,1536 +torch/include/ATen/ops/linalg_eigh_compositeimplicitautograd_dispatch.h,sha256=M7U0cEFF-8l5MHaH_NY4_w0D7R0qnDXUKdXLNk1yf88,1144 +torch/include/ATen/ops/linalg_eigh_native.h,sha256=D_5Oeln-NdicZ6D7tLOw8HhfhZp9Cq6hxM_ZCKJAdTQ,703 +torch/include/ATen/ops/linalg_eigh_ops.h,sha256=bVgmoeCbaUw06ZUiABDLlkBXoCOKZESXrNbUqbYVu7I,2112 +torch/include/ATen/ops/linalg_eigvals.h,sha256=KLwTCgPh3jws-9vJDBW6yxO24SsF7HGhjKopwsAWVN0,1095 +torch/include/ATen/ops/linalg_eigvals_compositeimplicitautograd_dispatch.h,sha256=HDMTVx7DnhYrDpq6Lw16OKAS6CnRGfUopNo0gzLUt0k,945 +torch/include/ATen/ops/linalg_eigvals_native.h,sha256=FXxUp9PkLcv36njZTFE9DioXmq7cboGY-m0qJPx9nN8,581 +torch/include/ATen/ops/linalg_eigvals_ops.h,sha256=xj0uHNLHALAmcmfuO2BQqveQrgthnyKiCP_aSwbxgsY,1638 +torch/include/ATen/ops/linalg_eigvalsh.h,sha256=tVKBKbbn290_JsFbJ0x7lgrrTVxeSXsxTIVL3nE9S-w,1242 +torch/include/ATen/ops/linalg_eigvalsh_compositeimplicitautograd_dispatch.h,sha256=d8dIOnhLKOFUXrncNdEQGrvs3_d_aQTvmNjzXnShNIU,1025 +torch/include/ATen/ops/linalg_eigvalsh_native.h,sha256=CIIhES1A2qDceu_NWbQ3nSpFgW0fkcGnyTAmWyGbHxg,633 +torch/include/ATen/ops/linalg_eigvalsh_ops.h,sha256=7cboAcJ6c7SLg_lj06upzr9x16PGbufuF9gRCbQGbH8,1804 +torch/include/ATen/ops/linalg_householder_product.h,sha256=-s7JACd6LvkBuI-P54NVmw2Au_3HjThRszwiszbZuvc,1347 +torch/include/ATen/ops/linalg_householder_product_cpu_dispatch.h,sha256=bvrmTo0qKelasHOFD-6sMqk_utquKXUvu-emGLkJcYA,1012 +torch/include/ATen/ops/linalg_householder_product_cuda_dispatch.h,sha256=CZZJthOjlqWBINhAfbgeMrSa1fkNtH-e_mFTByXT_Qs,1014 +torch/include/ATen/ops/linalg_householder_product_native.h,sha256=kYk5QcZiYQFPE551zKlPFi1BU0Q4o4j7OjyO8KLV2k8,655 +torch/include/ATen/ops/linalg_householder_product_ops.h,sha256=KAysmwuzUgqKIRm3PB7ODJuQ2OKZZUyfPyp5ZZx4fj0,1876 +torch/include/ATen/ops/linalg_inv.h,sha256=SLBssB2ItRMogCC8drQvuPlk03dy6XAmz-OBxxz229A,1028 +torch/include/ATen/ops/linalg_inv_compositeimplicitautograd_dispatch.h,sha256=xifdp404nbGnsKcgjlYZH3C5vYXt2AI5T3hJDBp0EXQ,924 +torch/include/ATen/ops/linalg_inv_ex.h,sha256=UxRoJ65tDCDR2-KDf1-HU5FPbkq7IA0iJBXpb5dPTng,1527 +torch/include/ATen/ops/linalg_inv_ex_compositeexplicitautogradnonfunctional_dispatch.h,sha256=y8IGNs_EPJG_OStM1lJshdO_oWINpDBaVu9FaO4449E,844 +torch/include/ATen/ops/linalg_inv_ex_cpu_dispatch.h,sha256=kGYXUMJSGuIF-4TZQFTx5K3oTE8O_5Ap0nm_-_fPspM,1083 +torch/include/ATen/ops/linalg_inv_ex_cuda_dispatch.h,sha256=8DyzJ7eKuZoJ9erFCn5zX7ogTCRIrXqGv3_U_TWym78,1085 +torch/include/ATen/ops/linalg_inv_ex_meta.h,sha256=aGpyvGbzkkuu3fRSCH9epd1Hv5zIy3_uHZ960JmqPMQ,609 +torch/include/ATen/ops/linalg_inv_ex_meta_dispatch.h,sha256=cZ-MXYBoSiIhJ3mO2lR0A8b53lMirMGsvigO95H8zBY,1085 +torch/include/ATen/ops/linalg_inv_ex_native.h,sha256=oa46dOA2U1qH4mbotJRtNR71uSWLrHR_fLNyAjBxhrg,673 +torch/include/ATen/ops/linalg_inv_ex_ops.h,sha256=ysBMW6FhZqG6WmIsZBKlceBvReHnZtKyK4IKEyPAQ54,2054 +torch/include/ATen/ops/linalg_inv_native.h,sha256=N7nyGXFNcgg8KPRdcZyR2Ky624Jf2_oeWiQvLqzUN-g,567 +torch/include/ATen/ops/linalg_inv_ops.h,sha256=dXULkP5n2swsupP1KlcJ-B9cMZdS2bCLLCoxc4vgD5A,1596 +torch/include/ATen/ops/linalg_ldl_factor.h,sha256=7-vG2ApO0ky4NYYyHXkmSBtRq9XP3PKa3h8LpY-HE1E,1524 +torch/include/ATen/ops/linalg_ldl_factor_compositeimplicitautograd_dispatch.h,sha256=rLPIQKmR-hvDbhsNfxeamYsk9sp6OSehHs0I_5Wz4fs,1133 +torch/include/ATen/ops/linalg_ldl_factor_ex.h,sha256=BVeMgHq8jpzR7VTb8QXjZNe8Pew1XX3NNPt9DTMH6_8,1908 +torch/include/ATen/ops/linalg_ldl_factor_ex_compositeexplicitautogradnonfunctional_dispatch.h,sha256=XoLjJjg2Xgbe19pZplpYNkg7BzrQI08E0xGPlAInbb4,887 +torch/include/ATen/ops/linalg_ldl_factor_ex_cpu_dispatch.h,sha256=m8MTePggsQs0Nhw3JyHWCw4Ybsy8JxhVUhNG8ieg2n8,1242 +torch/include/ATen/ops/linalg_ldl_factor_ex_cuda_dispatch.h,sha256=EKIdD96tRVvOfjDzeBpt9PMsuS5gA43GrAKUeK94dtQ,1244 +torch/include/ATen/ops/linalg_ldl_factor_ex_meta.h,sha256=SYlxrbzXRfSkOKXTseMfNKXG2m4iGdyEv96krC8ffK4,635 +torch/include/ATen/ops/linalg_ldl_factor_ex_meta_dispatch.h,sha256=OKxqYiYpXg2OHeW9Cn4NN57TeBXFaKjjuBIxqCFl_0E,1244 +torch/include/ATen/ops/linalg_ldl_factor_ex_native.h,sha256=JkpUMmmjOvHfp-V64ZhGVPMN4L9pICpcjxL4KkbcGNg,735 +torch/include/ATen/ops/linalg_ldl_factor_ex_ops.h,sha256=VHR_uxZBq8H1YbNA_un2UUP6a0bjRJjyWocpaA7Tz6Q,2378 +torch/include/ATen/ops/linalg_ldl_factor_native.h,sha256=jBMtlr0l20E5NKpYosznfKdSe-MPeoyTtUal9hV7zsc,697 +torch/include/ATen/ops/linalg_ldl_factor_ops.h,sha256=tx2b2-ddI5UbgmO-xs6ma-2h75I9qMYu9dZWZHdQg4Q,2051 +torch/include/ATen/ops/linalg_ldl_solve.h,sha256=m60NV2vp0ESkD8R_Y-7yQFqjwCgCq0bLXEWGhPLSA-A,1514 +torch/include/ATen/ops/linalg_ldl_solve_compositeexplicitautogradnonfunctional_dispatch.h,sha256=CV3VnzneqLbwlhVjHM7O2zDjR9HbSE7mR4X6Pby-8zw,869 +torch/include/ATen/ops/linalg_ldl_solve_cpu_dispatch.h,sha256=nLU_qlUPQbsrNp3mo2Mzn-ibSdThflElNnDKYxfaHI0,1108 +torch/include/ATen/ops/linalg_ldl_solve_cuda_dispatch.h,sha256=PWy4L7ZdrnQ_IAKEz4LlX0e_-JsjKtZCxSwaKusPsR4,1110 +torch/include/ATen/ops/linalg_ldl_solve_meta.h,sha256=l7WgRWK73ArpN5CXNRtYWb3T2LZkYAv1EPKnaV390AQ,659 +torch/include/ATen/ops/linalg_ldl_solve_meta_dispatch.h,sha256=tzqJiqVOMN5qcLSUIplJXZTaI2UslRcNgKcY80ANcmY,1110 +torch/include/ATen/ops/linalg_ldl_solve_native.h,sha256=BXPd7S6J7IOekheb6lrdAEufpHu4SJpT2oqCRrFjp0E,700 +torch/include/ATen/ops/linalg_ldl_solve_ops.h,sha256=IeSC4dJZUdxWMpbdl8srmGcKpi4_ud90EDuNx83Ldyk,2087 +torch/include/ATen/ops/linalg_lstsq.h,sha256=FzowCGbqZQ7VVWjhmWunps118o93SVih4pDi0xfp2zo,2351 +torch/include/ATen/ops/linalg_lstsq_compositeexplicitautograd_dispatch.h,sha256=DJfbazOeCJaqMNFHmSZUUkx-OUBy8UZpHrZ352nuJ6I,934 +torch/include/ATen/ops/linalg_lstsq_cpu_dispatch.h,sha256=PVawPCDRXizPALQqq_skaR8nv_WI7wZvguW8KaU-Un4,1305 +torch/include/ATen/ops/linalg_lstsq_cuda_dispatch.h,sha256=lh8FJx41eyGyhPFiizi6CCPtxgRMX0xmA5HHiAPvkiY,1307 +torch/include/ATen/ops/linalg_lstsq_native.h,sha256=Tg_tyzt8Dzi5I4U2Tolde25TqzCo6GpqqOZXIuJK11Q,963 +torch/include/ATen/ops/linalg_lstsq_ops.h,sha256=CTnW66Hh9Y6t4PYEyLuNCLNYjf89cYpnzKGdMiHl4d8,2953 +torch/include/ATen/ops/linalg_lu.h,sha256=U8o9FifneHng2M_--lh6Y6uYOLbF2MX0DUkCZCKgaNc,1463 +torch/include/ATen/ops/linalg_lu_compositeexplicitautogradnonfunctional_dispatch.h,sha256=smtmNY4C8YljZ1ykgna3nAc41ErMW43WWQg6y47dWtE,843 +torch/include/ATen/ops/linalg_lu_cpu_dispatch.h,sha256=Xp7_D4L1il7ip5dwwtKO_Pqz3OWh6N0JhFNzzjfoVIY,1099 +torch/include/ATen/ops/linalg_lu_cuda_dispatch.h,sha256=uiYoc1rh5c-9GtJj34CAPP-11HZIBg5k4eDnzkM0JtE,1101 +torch/include/ATen/ops/linalg_lu_factor.h,sha256=xFvxsomRp1Gfj8y4s_v4gdSO5p_-HTJQlwvY7XFepbc,1446 +torch/include/ATen/ops/linalg_lu_factor_compositeimplicitautograd_dispatch.h,sha256=8vUJQ8riaNtEXmkP4XvXh5qDoZu45IrXYH88MHa1EiU,1107 +torch/include/ATen/ops/linalg_lu_factor_ex.h,sha256=Jd2O8obbvGQrucJ3PHPT1HqF8huLnLJafnJnUjF0tVY,1830 +torch/include/ATen/ops/linalg_lu_factor_ex_compositeexplicitautogradnonfunctional_dispatch.h,sha256=AuCmBCTJMmmgAt5ZTS_I4yS8dWyK9zES31pa99w-FFM,878 +torch/include/ATen/ops/linalg_lu_factor_ex_cpu_dispatch.h,sha256=R1P9J-kB3kP7sqH5Lc5ZT5odnFN9JVd10j4YCIm4t1M,1216 +torch/include/ATen/ops/linalg_lu_factor_ex_cuda_dispatch.h,sha256=Mn2CQlZLkBe1FhWH7rMyuCrAp9NzLyay3e4ZgDDw4BQ,1218 +torch/include/ATen/ops/linalg_lu_factor_ex_meta.h,sha256=CmyDT98YlBdSTYpLDEyoCwjhGJFZ-Vn3Fr5wYidjVHY,627 +torch/include/ATen/ops/linalg_lu_factor_ex_meta_dispatch.h,sha256=eXbcXiFGM_Ikqgela1zN1EglIZilZxdeyYAHwZUwU14,1218 +torch/include/ATen/ops/linalg_lu_factor_ex_native.h,sha256=e_VS3XGamzXWwxPEB_FpBfyZ7irUDTlS10pPrANV7cQ,725 +torch/include/ATen/ops/linalg_lu_factor_ex_ops.h,sha256=fpoh8YmqAjndsG2cjfWM4uknJvlnqo9xF2yWxbWgTJ8,2328 +torch/include/ATen/ops/linalg_lu_factor_native.h,sha256=xpqbYMq9GCW_tP8DExeMIELeWI9SXSwdX8nwLDBAdIc,680 +torch/include/ATen/ops/linalg_lu_factor_ops.h,sha256=MSl99HgWh5Ilqr3_WVyuwnIm9loAnE1bPtd3C6-gkvw,2001 +torch/include/ATen/ops/linalg_lu_meta.h,sha256=IUTWgxdT2Abuwop9vWsfvKElBsaLGfgUc1faK0Wmr4U,598 +torch/include/ATen/ops/linalg_lu_meta_dispatch.h,sha256=B8teXxNTtx2YftlFlWnvYJz8Nw3QJVRb22GZmskEWno,1101 +torch/include/ATen/ops/linalg_lu_native.h,sha256=RogYrGKd41B9xQDBxoZEC31NWqtp_CHmaPYGmGGW5gs,667 +torch/include/ATen/ops/linalg_lu_ops.h,sha256=i00jI5Pi1dikFvdf-nsAxUbQerGTzoDLT8YmfPcal98,2085 +torch/include/ATen/ops/linalg_lu_solve.h,sha256=BNcEhxRYmFiA0Hyy2d8uaANCMVeA3e7hG6gKIhsNhaY,1595 +torch/include/ATen/ops/linalg_lu_solve_compositeexplicitautogradnonfunctional_dispatch.h,sha256=yDxFDDhx0T8KutdXHAJhMf9fnn7Iu4JOymmVwAUVA9w,882 +torch/include/ATen/ops/linalg_lu_solve_cpu_dispatch.h,sha256=Pogx7Ji1bVUqqADhPj-IyHf44YPpzm6VLgLM-h6K91g,1142 +torch/include/ATen/ops/linalg_lu_solve_cuda_dispatch.h,sha256=kYq9fGi2__Qzd9GDG9Klte-ryXKZDcl5vbaTSozunG0,1144 +torch/include/ATen/ops/linalg_lu_solve_meta.h,sha256=mgLfCBD5uid2ih6LybmGSkRnM76EGyl8q7jKpddyYYE,667 +torch/include/ATen/ops/linalg_lu_solve_meta_dispatch.h,sha256=nw642a0aRVtBLFvBXa5E_80BBLR7sT621A0pDE3JanE,1144 +torch/include/ATen/ops/linalg_lu_solve_native.h,sha256=WR-Y277oMTYWk7CBZ3OkwHuV_AJH6BJumuVfVWwFKvA,706 +torch/include/ATen/ops/linalg_lu_solve_ops.h,sha256=L0cYgXWYT_Dqsl-VyL__Pq6I9pt67ZPAFA0jrJHraxY,2157 +torch/include/ATen/ops/linalg_matmul.h,sha256=L39TLdEXj80ajEfZQxDTQuBvMoDG4PYnR5-OWFQfzdE,1226 +torch/include/ATen/ops/linalg_matmul_compositeimplicitautograd_dispatch.h,sha256=Q3uz6RawtS4rq_yETtDzm23bP4v35zDesmU8KjkBj8I,1020 +torch/include/ATen/ops/linalg_matmul_native.h,sha256=81L2omQ8BBYmzVk6CcGQna063zeG80QRjj5-xahrCC8,631 +torch/include/ATen/ops/linalg_matmul_ops.h,sha256=SWkk1sA2-nikkuUw_VQD42qY4bQEbozCojGZ5-Q4u1M,1804 +torch/include/ATen/ops/linalg_matrix_exp.h,sha256=fVWkO4u3lhMZylGOIDw5f56NG7QSlwVbD7M6UmF3FMo,1125 +torch/include/ATen/ops/linalg_matrix_exp_compositeexplicitautograd_dispatch.h,sha256=m7KVL5YQSOj0jmGsp6hX59dYJ14RQgYKiy-_kL3PsyQ,889 +torch/include/ATen/ops/linalg_matrix_exp_cpu_dispatch.h,sha256=brPS4ishlrgIM0GQYTkpMfzy5NC14JfUImajpcjnSX0,731 +torch/include/ATen/ops/linalg_matrix_exp_cuda_dispatch.h,sha256=skDxjmJFuCVge-yFNbu8ZZzu9Z3vxQnRtMwD7T3h2MQ,733 +torch/include/ATen/ops/linalg_matrix_exp_native.h,sha256=QyBI4JapGxd326jgIxU6XsQMc_mG-3Z58RCAwYSUJgg,587 +torch/include/ATen/ops/linalg_matrix_exp_ops.h,sha256=Ku2u8WPenxtN8mgUXDBCBfrRFhVSzEyptmQ69be8AAw,1656 +torch/include/ATen/ops/linalg_matrix_norm.h,sha256=pSOkw6WlegYJmtFJ96N6u5vn9HEj30JkpD9jjSRuG8A,3127 +torch/include/ATen/ops/linalg_matrix_norm_compositeimplicitautograd_dispatch.h,sha256=tHDKbhOW6-cPiJrQ7d4jcN-94_Y8az-Kuz-lGIzw8U4,1894 +torch/include/ATen/ops/linalg_matrix_norm_native.h,sha256=QrQQDLGV1RN5ggfUwlNSJJO1PFwiLvrm2zAAkLAxPZ4,1185 +torch/include/ATen/ops/linalg_matrix_norm_ops.h,sha256=rInr_8gyIoJgYetUIA_QYD8CZz9ffj-C2khuxtFVWuk,4301 +torch/include/ATen/ops/linalg_matrix_power.h,sha256=gSFbsjHD9E1MZmm9DGz1UgBjQBWTzUP5i1TkfTPzfh8,1208 +torch/include/ATen/ops/linalg_matrix_power_compositeimplicitautograd_dispatch.h,sha256=3sHPktmIURdB8o_H5ehBCYGQBKRUcb3j3XyhXxILems,993 +torch/include/ATen/ops/linalg_matrix_power_native.h,sha256=PbV7mVeFM-7rIu9PXV2YkBHRiBT4_iZcL1KhQFk3BXg,613 +torch/include/ATen/ops/linalg_matrix_power_ops.h,sha256=L-jE8IZ7kO4L3bvlg-ebebMv-kew8YTHc_SoMnaOUx0,1744 +torch/include/ATen/ops/linalg_matrix_rank.h,sha256=7AHN4Gi4A4-nPW8j_CG5M9PQJn3rksnzMvnfEQMq3TA,4879 +torch/include/ATen/ops/linalg_matrix_rank_compositeimplicitautograd_dispatch.h,sha256=Pl33MJdP9grUZJmmn25e0PR4V6LyclNDTmeRpFJlojQ,2472 +torch/include/ATen/ops/linalg_matrix_rank_native.h,sha256=DIro0-dj11NZTA8ru9b2NvWl9HWOw9qCejE0G9QTSX8,1589 +torch/include/ATen/ops/linalg_matrix_rank_ops.h,sha256=mON-z8k27zEkfJ9Pn0dg1KXR4agN7LGSxIbJgBOITW0,7275 +torch/include/ATen/ops/linalg_multi_dot.h,sha256=3_0zpx2TF9dxPYU_S4utR3U1d-l3yTs7MKc-uo3TRVs,1136 +torch/include/ATen/ops/linalg_multi_dot_compositeimplicitautograd_dispatch.h,sha256=bXaWoHpaT67VqY7UPfhALyd4AzXT1xFQUYeTIp5XiiY,948 +torch/include/ATen/ops/linalg_multi_dot_native.h,sha256=ZPYSBAJDlDERrbadfqBwmzMGffXGkO4GDCBNEjH1hoI,583 +torch/include/ATen/ops/linalg_multi_dot_ops.h,sha256=DprcDcANn2iVicW_KOBVsHhmjPV4bhwCG8qbqjlsoyE,1648 +torch/include/ATen/ops/linalg_norm.h,sha256=3wg0wcu5hjf4ktK4aNcdIKCPrzRGDwXFmfhKYeN6RQI,3115 +torch/include/ATen/ops/linalg_norm_compositeimplicitautograd_dispatch.h,sha256=QC7c2-H4bAyQBliZaNzM5rPdvdrQfPe5ct_9cu-0RKQ,1979 +torch/include/ATen/ops/linalg_norm_native.h,sha256=skSOo11spR16M1fgsDcL6ynKxuRIkT9IUc5nE47tBCg,1236 +torch/include/ATen/ops/linalg_norm_ops.h,sha256=BlLeHOrRm0RNNA24xjkFTnsftB3OJbqrVjMkHVwhB8I,4399 +torch/include/ATen/ops/linalg_pinv.h,sha256=t-zoMOwNFkgUkL77cf7DnHzUNOUqZxj0FMFyMVRJNHc,4650 +torch/include/ATen/ops/linalg_pinv_compositeexplicitautograd_dispatch.h,sha256=Gg5PE5NEY7y2dKqmag5P_JcrtoHGcMjAj96K_mzCvsQ,1081 +torch/include/ATen/ops/linalg_pinv_compositeexplicitautogradnonfunctional_dispatch.h,sha256=6NHDCST6hhEvx3CT8vhPqafaHR-ycasaoe4fvY6Dr6I,903 +torch/include/ATen/ops/linalg_pinv_compositeimplicitautograd_dispatch.h,sha256=sz3ZdwZIDcdadCZst4TysgkKGtdPtkJ4561UH4ArCnw,1856 +torch/include/ATen/ops/linalg_pinv_native.h,sha256=8BeAFR4r-nj-EQcos40TaB83La6aC_8ZRh6-_4CveAA,1537 +torch/include/ATen/ops/linalg_pinv_ops.h,sha256=yCdB2WUwgwXGDp5-cUL_ElP6beB3AnOoXvy-AkGm8HQ,7131 +torch/include/ATen/ops/linalg_qr.h,sha256=_sUND9Njyi1LkZmR3mU1r1mws5-CI0D5g0mr6-AFNkM,1368 +torch/include/ATen/ops/linalg_qr_compositeexplicitautogradnonfunctional_dispatch.h,sha256=FCJ9MjgtDChbM30XPAGtxzi58IARZx8Pix-jSwWHvYk,848 +torch/include/ATen/ops/linalg_qr_cpu_dispatch.h,sha256=euAJ4D_Rp71zYwdcpiG9s4ytOrpyg5ZVY2qlu6fzxOw,1073 +torch/include/ATen/ops/linalg_qr_cuda_dispatch.h,sha256=zb2_m3CL3xSR6-_W538KkXt04STnT-K4IAoEZSUK3nU,1075 +torch/include/ATen/ops/linalg_qr_meta.h,sha256=pxOGqCC4_irm2_0sz69RfvRcutLgDDK8-061Edi8Lzg,609 +torch/include/ATen/ops/linalg_qr_meta_dispatch.h,sha256=xf8OjPcSwRXrluAzKXJerNZIyVrDsQE-bQpsDwyYLGo,1075 +torch/include/ATen/ops/linalg_qr_native.h,sha256=UsiEYew7uDOQGhTPo8dJRVdULVAwp_7DnrG2hNmskoU,656 +torch/include/ATen/ops/linalg_qr_ops.h,sha256=Pz8ZPaLJeU1ZvwQPDQqdNQ7KwSPK6g0AhijqPsisu7E,2000 +torch/include/ATen/ops/linalg_slogdet.h,sha256=hEryXNp3Duc5jji4gj8Nuj8jGz1d70jyZxnEQi8VeMk,1350 +torch/include/ATen/ops/linalg_slogdet_compositeimplicitautograd_dispatch.h,sha256=di5jHc0VrIubufgKqQBOH1etWRrc2u9r9uc_CokyQsc,1065 +torch/include/ATen/ops/linalg_slogdet_native.h,sha256=O5c5zpE-fLRFECQhPW33Tw5mU570Vv_6SqJRsgu79gA,652 +torch/include/ATen/ops/linalg_slogdet_ops.h,sha256=ssLd9_Dj7QIRarPwmxmGmW0LnIUgc6KqxIj9GN06W0c,1917 +torch/include/ATen/ops/linalg_solve.h,sha256=mQWvdhAiJJYvV7Hb6jqGziln3V-UWoA7WPpB5iIsaT0,1265 +torch/include/ATen/ops/linalg_solve_compositeimplicitautograd_dispatch.h,sha256=8cY-0PMm0sj75iR6eBQOs1kYVQj-KBEnWBDhHw1FuNM,1039 +torch/include/ATen/ops/linalg_solve_ex.h,sha256=42EhYNfEm56H4BYQ9JSVtMf_JhGgQ2jyd0RoS7IM9Vc,1736 +torch/include/ATen/ops/linalg_solve_ex_compositeimplicitautograd_dispatch.h,sha256=HZUPTWcwao_GoW3OhxMFul8gRH0OHZBZ1C3eANupxFY,1240 +torch/include/ATen/ops/linalg_solve_ex_native.h,sha256=SWb_p3H_g7vLEMnZWKxroTAGsB3b34Kow66PkUTrbL8,766 +torch/include/ATen/ops/linalg_solve_ex_ops.h,sha256=AYrRef9dAF-nW-zWSSAFT_RJ4GgraPgbnk9JpSUIRb4,2285 +torch/include/ATen/ops/linalg_solve_native.h,sha256=wrn17aVhbZmiZ1dvDZ02xZsHBqHBKHMap73bHrnnDJM,642 +torch/include/ATen/ops/linalg_solve_ops.h,sha256=M6zaCNGtEadidg0twpSLUMZgwcBI8C9I11N3rN3ta8o,1847 +torch/include/ATen/ops/linalg_solve_triangular.h,sha256=P-EyP2A-H3swgf3eHsAS9e5eus1SOxQLGF6g1sYkvQo,1690 +torch/include/ATen/ops/linalg_solve_triangular_cpu_dispatch.h,sha256=4U0K_-QB9weJUUAgCgnwIcCnvo1fDkGLZFqoYyjmcHQ,1145 +torch/include/ATen/ops/linalg_solve_triangular_cuda_dispatch.h,sha256=CQUuMO8zIXOdehSoQQaf1XJpppDNtM9HQ8dmk-yZjIU,1147 +torch/include/ATen/ops/linalg_solve_triangular_native.h,sha256=WupYsjX3itblir82R9-VtJ_qqgaVHpr-pwN2jC3nwrA,740 +torch/include/ATen/ops/linalg_solve_triangular_ops.h,sha256=WGGezErIhDBwXffyvtNXzDspq_G2dsel8nMTQcDDY-4,2159 +torch/include/ATen/ops/linalg_svd.h,sha256=rH4d4_tyq7ZjhLJmr52ffekYU8sWgGsjB7CxpSf-l3g,1770 +torch/include/ATen/ops/linalg_svd_compositeimplicitautograd_dispatch.h,sha256=IK7KHSZdAjNVHOu0D9eMsA_hzTRS9qFQoBKWHxjPeJg,1318 +torch/include/ATen/ops/linalg_svd_native.h,sha256=4vm3RqBkFuRGsgmFG-VM4b81t48rMZBWx7X-ODG3Iow,812 +torch/include/ATen/ops/linalg_svd_ops.h,sha256=cosx4snlCSDNOuv16mHtVARW07t4aI7zcvAVsDQPGi8,2400 +torch/include/ATen/ops/linalg_svdvals.h,sha256=dq1n29QmU8Qv6KJIZL8FKVGq3RODquTGbWlYgTcTSIg,1295 +torch/include/ATen/ops/linalg_svdvals_compositeimplicitautograd_dispatch.h,sha256=NFYSHtOLJk8ybkfTIrstYieb0mluUUF-QzoaoqWTKDQ,1082 +torch/include/ATen/ops/linalg_svdvals_native.h,sha256=iMCnBuQkI2I-FLWRNEG1Eqtu_ngAm9eDeQkEn5P_jNw,668 +torch/include/ATen/ops/linalg_svdvals_ops.h,sha256=eIL5prqWkcgSBMGxNk43ApyxM89u7EYGfT4LmOjeDTA,1885 +torch/include/ATen/ops/linalg_tensorinv.h,sha256=EWKHEeLlrr5em7u5M7PLPwXgeQjhatGG6tuesYor4xk,1206 +torch/include/ATen/ops/linalg_tensorinv_compositeimplicitautograd_dispatch.h,sha256=oBf9t0vCRaKFN8v36An5TaBsmM7utTyFWiKoNQjrhYc,994 +torch/include/ATen/ops/linalg_tensorinv_native.h,sha256=BuQRPF0R9MrbLzGyM445R1xn4veb3Kls0FGBYR9Ur9o,613 +torch/include/ATen/ops/linalg_tensorinv_ops.h,sha256=BQ1dhISC-eY9Ho08wW_Efnv844x3lESkfj7NeCIMzwY,1742 +torch/include/ATen/ops/linalg_tensorsolve.h,sha256=fmDaOIbLyBq2cw2KNZw1sCycf1LqJPhow0yi0zd58l4,1464 +torch/include/ATen/ops/linalg_tensorsolve_compositeimplicitautograd_dispatch.h,sha256=s3IGcJ0_LkSFvFfG2zMCBUJlfcLx2F2urSBpwXWhd04,1151 +torch/include/ATen/ops/linalg_tensorsolve_native.h,sha256=7ZEenDBGwR2yGrM14Y9B3dfgCVQnaTxkY_6N-SwTpug,714 +torch/include/ATen/ops/linalg_tensorsolve_ops.h,sha256=4GuQ8YpSIEPnw_ejgUvgkI0r2l3neM6yuHGTykYOV3I,2040 +torch/include/ATen/ops/linalg_vander.h,sha256=MwhSRao4mw3NpyhhDMMDIXkKj2GbPu2gPiTxfMz4_Mw,1560 +torch/include/ATen/ops/linalg_vander_compositeimplicitautograd_dispatch.h,sha256=mHCqeR9WBFeRjKbs9Znn9Vo40-j5_qwkGH-kPj6qn24,915 +torch/include/ATen/ops/linalg_vander_native.h,sha256=_m8OLJfrP000FJfBHV6kefs9LFeHFiP2JmOOfhkd7RY,541 +torch/include/ATen/ops/linalg_vander_ops.h,sha256=4Z7X4LLDPA5XXAb2Yo2HVn6qSO8XPeW_aD0UEpdETf0,1086 +torch/include/ATen/ops/linalg_vecdot.h,sha256=EDG26VSs3FoZw9SreQ7MzSekmrmIn0Ws6L9sY8rNDeY,1262 +torch/include/ATen/ops/linalg_vecdot_compositeimplicitautograd_dispatch.h,sha256=JNyVgc0Uml-umeeX2Jh2-odMb3qOTkShubw1fYz8N8o,1044 +torch/include/ATen/ops/linalg_vecdot_native.h,sha256=LaFG3FeONBLErrjhXFQC7WVZls7GSSPh1Txj3Tsk1g4,646 +torch/include/ATen/ops/linalg_vecdot_ops.h,sha256=_gvg7DndsvX8iVnvnA_B_uq8M4_13YpbjKodYrkRQ2Q,1859 +torch/include/ATen/ops/linalg_vector_norm.h,sha256=IXWIf1tiTGDxU2R7g1zfgKnRfx-dhssKvylVGYlOhQ4,1824 +torch/include/ATen/ops/linalg_vector_norm_compositeexplicitautogradnonfunctional_dispatch.h,sha256=jns-7jmlwFGAm3NCJ3BkAc1nRe1ID-bITrRI_4XMGeQ,940 +torch/include/ATen/ops/linalg_vector_norm_cpu_dispatch.h,sha256=N07of73_K-whnbpLHzXYPykiqOO76-jIs-xmRe11etU,1293 +torch/include/ATen/ops/linalg_vector_norm_cuda_dispatch.h,sha256=9unWe1MUMbKdBEdRIjrKoEnGo3d-aMwPNbEj7DtX5Cw,1295 +torch/include/ATen/ops/linalg_vector_norm_meta.h,sha256=RNNVZoFIEdcUxVw6a7lTZbAtSuaBso500TlontXYmxU,702 +torch/include/ATen/ops/linalg_vector_norm_meta_dispatch.h,sha256=3Z_Rb-IIfi9HqXq2IbhgSFxoW0gUi6rkdUj32rb7yCo,1295 +torch/include/ATen/ops/linalg_vector_norm_native.h,sha256=O8u1L9GY8_yBXY6IpLS9N0thnXqO6c_0Wk0O0LEUQVk,747 +torch/include/ATen/ops/linalg_vector_norm_ops.h,sha256=YQOnU8za3bcFvywYhc2UaS8h-TjlfrvrOQEsTRSeIJo,2397 +torch/include/ATen/ops/linear.h,sha256=7fsxhbt8Gj0-4IhEHlayz5Tnk_0EDJNZwARUyaRCPVo,1375 +torch/include/ATen/ops/linear_backward.h,sha256=xIn4SWPiDEGO2s9XRbUI5AmA_AzDxqQZZozultYPMjA,2014 +torch/include/ATen/ops/linear_backward_compositeexplicitautograd_dispatch.h,sha256=x8aT0z87AANsyzfWu6-B6cBrKo3cAe4XCTM7UVWAslw,1229 +torch/include/ATen/ops/linear_backward_native.h,sha256=FRHYsKeXrrLV8gbOZ4tq7EmWjS5RM7YovYv9wTrn12A,891 +torch/include/ATen/ops/linear_backward_ops.h,sha256=Uf9cBBI3rVZQHtKDDhqxoVjeZIpJb9yJukglMLgFQOU,2665 +torch/include/ATen/ops/linear_compositeexplicitautograd_dispatch.h,sha256=sVxa0F3-7umOXxFjcA-oaXeYSLDtMKb0S96IpTR62Hk,1006 +torch/include/ATen/ops/linear_compositeimplicitautograd_dispatch.h,sha256=RsRTglwQmqAlj8Wk1JavqxAp1btB2Mp4OFZ6_KWMYfU,835 +torch/include/ATen/ops/linear_native.h,sha256=gFahzLiBMTcVqJHI3Dzv9CRUPYe8lwVZvZq7_ITOWZA,836 +torch/include/ATen/ops/linear_ops.h,sha256=fk2Huw8fEDtF5_97kM_BDQM63Ml9tz_jMyJZs0bIhZU,2042 +torch/include/ATen/ops/linspace.h,sha256=SWdTpaAs_jf_9vxbVg7D0BI9_ZUJjcazo-pSWG7pxxY,6812 +torch/include/ATen/ops/linspace_compositeexplicitautograd_dispatch.h,sha256=SkzjFipH1a8BHM4Z6_dneXhuetzKc20xZK9iV7ok9yw,2869 +torch/include/ATen/ops/linspace_cpu_dispatch.h,sha256=ulTqqc-sXxiBRDzc6AL_W6IcXoCnwS2Ysmy8aBGb67c,907 +torch/include/ATen/ops/linspace_cuda_dispatch.h,sha256=JMvkDEkCk-8XNIPY2d6NP0bTBfTkZS1V9I-YyLKp30k,909 +torch/include/ATen/ops/linspace_meta_dispatch.h,sha256=tkxveHfnIO5T9J0loBOcuyOII39B9qDRa1I2w0rD0BM,909 +torch/include/ATen/ops/linspace_native.h,sha256=xw8zvOi_SgewBWOp26WOSRtaue8P9_c5tk6xMoNI7Sg,2018 +torch/include/ATen/ops/linspace_ops.h,sha256=nKVE4vK4loDjsQgCbnPF7LsBKBZGEF18yB3BR0GqTss,8307 +torch/include/ATen/ops/log.h,sha256=kBRdxvSaujdJqby4Cv-Mc87iQbai56KGo4j5RxGMpa0,1118 +torch/include/ATen/ops/log10.h,sha256=PXrsx6c4Fqt5pkFaBw8_DMqiqosfxHBrjKjwgE0vD9g,1144 +torch/include/ATen/ops/log10_compositeexplicitautogradnonfunctional_dispatch.h,sha256=NP-hwD4L2nLYQH-POFuf7M7aaDxO37MIm9Eos7DE0Yo,839 +torch/include/ATen/ops/log10_cpu_dispatch.h,sha256=C5AAstlgh3CRIbh2CyQuPjf7cx1LOfzS1wOPuSD8Lek,924 +torch/include/ATen/ops/log10_cuda_dispatch.h,sha256=Zr1dHQslm1PiUXxdBtCE5i7egd5NXEYllVcqm1mgXu4,926 +torch/include/ATen/ops/log10_meta.h,sha256=p3GfjSoqADEuyy5eUgAOjME6TVekSxthl_b_CK2Aj3s,585 +torch/include/ATen/ops/log10_meta_dispatch.h,sha256=dY9_HA9tiH6FFYJRqxKOJFtclnp_fCOM6vSbkXxTh5A,926 +torch/include/ATen/ops/log10_native.h,sha256=-DWMlsNK-9PPDYty9Z8Tj27KFUNvMbqW-TKZmQog7sA,604 +torch/include/ATen/ops/log10_ops.h,sha256=VMWMazkB92iwpPZm8BM33tbi_HLcYV3F2w-SnNQGxxE,2113 +torch/include/ATen/ops/log1p.h,sha256=8mKgv6tkqH9peTpnFzNyH3-E5J1gTTb6Hli6REkmAgQ,1144 +torch/include/ATen/ops/log1p_compositeexplicitautogradnonfunctional_dispatch.h,sha256=KqXkNFECg8JrjY62r8R2-r5pliijNanXqkSeXu61U2o,839 +torch/include/ATen/ops/log1p_cpu_dispatch.h,sha256=T5rxVVCiaBTfbTh_lTDDb3SwWXyu6zE805tKIyneuUA,924 +torch/include/ATen/ops/log1p_cuda_dispatch.h,sha256=pFopz_KuXJjjuKIH-9vQ1bYt-i0F7h8CSgmy9QIiHzI,926 +torch/include/ATen/ops/log1p_meta.h,sha256=LhlVn5X9v3Swz9j_0qucfgrqYyS53ff5X3gK6XUyivU,585 +torch/include/ATen/ops/log1p_meta_dispatch.h,sha256=8vlGzc0v3JC6MpahpYFTVy4Dax2egP7eeMxu7gAcuHw,926 +torch/include/ATen/ops/log1p_native.h,sha256=B6G0D1PLNtZ68fR3Sfzp12WNpRmudEjBNJhDhkQbbkw,1018 +torch/include/ATen/ops/log1p_ops.h,sha256=-gjTT5OwDnkl5GjwOYHhCiICrzkR3YI0AuAGZXa8wtQ,2113 +torch/include/ATen/ops/log2.h,sha256=tGDrpJjOqCI3G_KkVtxqwEjvO68EPgfSZelBl-o7d5E,1131 +torch/include/ATen/ops/log2_compositeexplicitautogradnonfunctional_dispatch.h,sha256=AUm0c7_tnZT8LUY2y0keVJiAqRKPfJJuEXDByhYW1Vg,837 +torch/include/ATen/ops/log2_cpu_dispatch.h,sha256=e3oy2Cug8UiLUkCC-bpv96mszAlcL_Ad4oMMAecPrn4,920 +torch/include/ATen/ops/log2_cuda_dispatch.h,sha256=sHoqPDKA3sLwRv2NWahdofJXAqBmmYM-st74vd6gaCs,922 +torch/include/ATen/ops/log2_meta.h,sha256=Y8meCEx89ZpPAzBiGn0AgA5679-DuzQiFA4aQJbOVc4,584 +torch/include/ATen/ops/log2_meta_dispatch.h,sha256=K6J2HMuMjNMaLtK_6oDLaiv9OaivrMKw_Iy-wr7otKI,922 +torch/include/ATen/ops/log2_native.h,sha256=tfW6UsxOqSXuyhQHZksxtzUXUjszegElAFaCmLPCP94,601 +torch/include/ATen/ops/log2_ops.h,sha256=NbrDDBjdbqX-DJE5D0M5ht9lCuAESM09f3DTeLO3G88,2104 +torch/include/ATen/ops/log_compositeexplicitautogradnonfunctional_dispatch.h,sha256=R0qUyXpi3CT-cR2n2n21s5JHMkySnZD19veEAMxnHVE,835 +torch/include/ATen/ops/log_cpu_dispatch.h,sha256=1scbJNlTj9Svm9bpk8dzdf6qnQaybTuz1FXKK4aM6uQ,916 +torch/include/ATen/ops/log_cuda_dispatch.h,sha256=wVeI5GNaoZ-qVyJot-7teBov9ZniPQ5qRydcuixamRg,918 +torch/include/ATen/ops/log_meta.h,sha256=RoxGxV6PlGOFWSpnIRtqlKrRIIzm7hhxXDINQ3ytrl4,583 +torch/include/ATen/ops/log_meta_dispatch.h,sha256=auLInGknpTv08vFk7YujovQ7UrjDGGKQ7u_2kvcPOs0,918 +torch/include/ATen/ops/log_native.h,sha256=Si5KV81O-IVy43yuzv-tnfm5BDnUjLlpcYJ6PxnqXmk,598 +torch/include/ATen/ops/log_normal.h,sha256=rZprOIO6BGDTNa4bNvdugZM_yJmTcl-8j4t875xu11c,1515 +torch/include/ATen/ops/log_normal_compositeexplicitautograd_dispatch.h,sha256=etoh8eQeRtynTQJlvrL0n1WAf_vt32ugEjDyhGbzKlg,1162 +torch/include/ATen/ops/log_normal_cpu_dispatch.h,sha256=l1rslXqTvnOk3EN_0Bdi4uTA1L7Odn5xmQhB5GnhA-Q,803 +torch/include/ATen/ops/log_normal_cuda_dispatch.h,sha256=GOuQgyWvw-TbgrdgcO6nho3sPQULXPqWxm5BDB9zEvI,805 +torch/include/ATen/ops/log_normal_meta_dispatch.h,sha256=tny11Kd6IvzaJ8dFeYqlwf9HpL-zqwlBhiwicNFlTRw,805 +torch/include/ATen/ops/log_normal_native.h,sha256=UN0t6qadiEGV6oiCjPNcysAm5RC-0281Ff9vQmyCxNk,857 +torch/include/ATen/ops/log_normal_ops.h,sha256=WZI2Z6jVyiMa4kZabvUzpOouPHAFJn2sCitlxjAVJ48,2854 +torch/include/ATen/ops/log_ops.h,sha256=4bX1rkb-mNpEyZu0LlCwMIlOptxvsJHHrRM8QQCzO9c,2095 +torch/include/ATen/ops/log_sigmoid.h,sha256=fqINtW3RblpSxqCwMXtnPMifTfQ7tBQy8KOX7qdlZQY,1065 +torch/include/ATen/ops/log_sigmoid_backward.h,sha256=tY1SnC7NBTPT-cPcTAH1AX7SllY_8pkKyJrdoiO7WsE,1570 +torch/include/ATen/ops/log_sigmoid_backward_cpu_dispatch.h,sha256=VYlouOZtPurG_oFO4ZTpUFIdUdmSissSXnHwwUbb1dk,1110 +torch/include/ATen/ops/log_sigmoid_backward_cuda_dispatch.h,sha256=3XkRbmt3bdVwdEph9u9rM2UL0uXLmp-9Z5DnSkA0D6A,1112 +torch/include/ATen/ops/log_sigmoid_backward_native.h,sha256=x-rP5NYEUkQcSMU8darEbpO8u75pytL2Y4Iaw7v0Mkk,1021 +torch/include/ATen/ops/log_sigmoid_backward_ops.h,sha256=waImE7ReUiakqCmnV-jsoihC19P9TkO0i0u4Q1SRM-E,2102 +torch/include/ATen/ops/log_sigmoid_compositeimplicitautograd_dispatch.h,sha256=Ok7h2c47DYJL1q7NUjbtUav2BOUAybPnMr2b1VKNW_4,936 +torch/include/ATen/ops/log_sigmoid_forward.h,sha256=C8puUi9BA9l-8ZLuA8k_RZh5JEzkiV4b8Q2kbhlHvx0,1402 +torch/include/ATen/ops/log_sigmoid_forward_cpu_dispatch.h,sha256=5OgHsH3a5Z-kQMtzEfBi98VvNN8wm5IMMbBytL1IB0Q,1043 +torch/include/ATen/ops/log_sigmoid_forward_cuda_dispatch.h,sha256=-rD7OmAWyX1Wcaax8-makfMsekD_LD_9HWmldJPKt9I,1045 +torch/include/ATen/ops/log_sigmoid_forward_native.h,sha256=RdzfhlK-AbBBWXIpshFGPEGPLzpuEK6AMalJwnCBRnQ,919 +torch/include/ATen/ops/log_sigmoid_forward_ops.h,sha256=UFCcOMPJ6_o6pcsE5LXkPXQne6XGW0wmU-yxdXKbklg,1955 +torch/include/ATen/ops/log_sigmoid_native.h,sha256=nhDNVPjyA2wOlXBPGD3VwwoY8UOZXFZbto76cN_eouE,575 +torch/include/ATen/ops/log_sigmoid_ops.h,sha256=iBhPLgLkybondELseJbJb2J4PmyIeqMH-IPV12Gcouc,1620 +torch/include/ATen/ops/log_softmax.h,sha256=JtVB53ayO0MtwjFU9xyx1NKmu13X5LQIpKtoXUKiMxo,1685 +torch/include/ATen/ops/log_softmax_compositeexplicitautograd_dispatch.h,sha256=1pAcq9W8w4IT5tywXBjKW2Lr_uXqVfG8hQ7e9ucYHQE,990 +torch/include/ATen/ops/log_softmax_compositeimplicitautograd_dispatch.h,sha256=f54FxV8d0RYrXbO2ziB9K8SP3HfQGCl5WN8imEn6xvA,958 +torch/include/ATen/ops/log_softmax_native.h,sha256=4eK3s6_uuS-pCEyUw5RvKcYLTIvZhf-IM1IlvgfpFVk,814 +torch/include/ATen/ops/log_softmax_ops.h,sha256=FL69wIjMplkoSv6bOGGHFfeT2lVer0Xm1OfQWqEs8Zs,2752 +torch/include/ATen/ops/logaddexp.h,sha256=ciJPFVwMcbLiTL2-bSHsN6xD7lcum1Xkrp1zXF0BGOs,1186 +torch/include/ATen/ops/logaddexp2.h,sha256=djKiVy3RVa22g_BBEkwlH2MzLAJ07pzpu9X4XlY4t34,1196 +torch/include/ATen/ops/logaddexp2_compositeexplicitautogradnonfunctional_dispatch.h,sha256=7I_XgYDS5ZZvdVRH0t4O-L0t9usQninkZbDmQ2R1Yg8,820 +torch/include/ATen/ops/logaddexp2_cpu_dispatch.h,sha256=u2Ny-PRgGqX-rACBKejXub6FbUsFj_1grlY29le0LYE,967 +torch/include/ATen/ops/logaddexp2_cuda_dispatch.h,sha256=N53TT8UTTQs_6_fj2r66JFVKnGSzdK9OMvYPakUoq-I,969 +torch/include/ATen/ops/logaddexp2_meta.h,sha256=lTL3ZXBI0O2y4Sx1l1JcuY3fs6hol-_du2a5dRBSwe4,616 +torch/include/ATen/ops/logaddexp2_meta_dispatch.h,sha256=KSp3Tv1k2J3YO9vIcmk8U3V3IY7Qn_sLk2a-aLTHEbU,969 +torch/include/ATen/ops/logaddexp2_native.h,sha256=mfv45iAGbZZNo0Vo4t-yaxTx4mHvNxh3I7hjOA49Sec,645 +torch/include/ATen/ops/logaddexp2_ops.h,sha256=AmJtikJ02iO56bYqwUVRPfWwJJqQVQa5Zx2LlKINW8g,1786 +torch/include/ATen/ops/logaddexp_compositeexplicitautogradnonfunctional_dispatch.h,sha256=bc27hqaHJuF1-PlT74ga5CIv1PLV0HoH68lFFA3cGhQ,819 +torch/include/ATen/ops/logaddexp_cpu_dispatch.h,sha256=2ugkj6JTjpTaG1GFYnO6iTJdnakkXWesKbUEard7kSc,964 +torch/include/ATen/ops/logaddexp_cuda_dispatch.h,sha256=nkHjcXhFtrSZH2JCgkqFTVcLWhYDxd6WqQB6txJomh0,966 +torch/include/ATen/ops/logaddexp_meta.h,sha256=p9pIsTyN6cCUaj1XwBl-KU2DuCuzIpbeBgV7qOgoCNY,615 +torch/include/ATen/ops/logaddexp_meta_dispatch.h,sha256=DLlzaAJCcqQCfWMoYf-woFqFHzGT9OWtdlJgrDssoys,966 +torch/include/ATen/ops/logaddexp_native.h,sha256=kTPoq8ngJaiv7Gx7sN36j7kO5rVVlGLQqiZBT8RjAiY,642 +torch/include/ATen/ops/logaddexp_ops.h,sha256=vYe9kVx_sbwcauvdwIgdN_03OPclBAngglDcsHDaa5I,1780 +torch/include/ATen/ops/logcumsumexp.h,sha256=Y9U45TW2nTkWzvPhINcHdVHqivAggkPxcGT1XGBlXQU,1888 +torch/include/ATen/ops/logcumsumexp_compositeexplicitautograd_dispatch.h,sha256=ZdaEVXzPSlWPdldhhjL0zBH0UhjHyuJRqoIoGr6E4CY,978 +torch/include/ATen/ops/logcumsumexp_compositeimplicitautograd_dispatch.h,sha256=maRoxGYE-a9toJGDnFV1WTVX1tVbIG8zT8D5giqhCrk,990 +torch/include/ATen/ops/logcumsumexp_native.h,sha256=ZPIRKEeBvdSD3omS6t60zEkB2yUIc8hjoxuhOWiXUlc,781 +torch/include/ATen/ops/logcumsumexp_ops.h,sha256=URmMrvevQ9gWQR8DF7LyIQRccbtIXC7647KXu8UGOP0,3073 +torch/include/ATen/ops/logdet.h,sha256=KEYhyuZLmepDRuZ5udCrNaxaAv12txmFrBy4oqXM72o,625 +torch/include/ATen/ops/logdet_compositeimplicitautograd_dispatch.h,sha256=sakW73DeFiy3EJoOI6TnZOja4Ux7KfqfyAJlzBDeRMM,764 +torch/include/ATen/ops/logdet_native.h,sha256=UItEOD4mFYabCwpDaWh6SWUm7GIhTvmlQX87ctAFg6k,487 +torch/include/ATen/ops/logdet_ops.h,sha256=9XCtUP-QmX6Dw4_RRUiCMzx6r8XvR-apvYQbD0J7VFo,967 +torch/include/ATen/ops/logical_and.h,sha256=XMA0i9swZpWX284BEPlExTD6MsS2NF152aUqT_hckQM,1206 +torch/include/ATen/ops/logical_and_compositeexplicitautograd_dispatch.h,sha256=B7nBUHUsDDcnUtb1jr4pi59wEiKtks43m2-cXR9IkrE,877 +torch/include/ATen/ops/logical_and_cpu_dispatch.h,sha256=dzXGNFHfpMDWfxKtEa08QXJNUBqzHveh55Bk8v7_1wA,885 +torch/include/ATen/ops/logical_and_cuda_dispatch.h,sha256=kwNsiuoj3AuhHyE9u5oh69fg8T64zXEoBzWy7gRZo0U,887 +torch/include/ATen/ops/logical_and_native.h,sha256=ejfi2PzDXP1IUEk8Fyd6EEkBffJ8Ob8gRc8eXtybG7U,709 +torch/include/ATen/ops/logical_and_ops.h,sha256=9WEpX5w7qUbDJq_k29h3wQu68Yim_lLcXIkeOu3oFm8,2425 +torch/include/ATen/ops/logical_not.h,sha256=m8sc3YfgQBmSpvfDV98nV88azV4K6w9VsIfmKI72ziw,1065 +torch/include/ATen/ops/logical_not_compositeexplicitautograd_dispatch.h,sha256=c0_UHtPG0hnPwvNGu2xPlvh_qD7--bZ642QUCSnJgTM,825 +torch/include/ATen/ops/logical_not_cpu_dispatch.h,sha256=tob0XD-izc3K5yvLxOcasfCwB-kPs4OxhPT3Gs00oK0,833 +torch/include/ATen/ops/logical_not_cuda_dispatch.h,sha256=W9vTjbo5wcHui6al3CEyERTrkmEWS9zjyYAM4XzUvZ8,835 +torch/include/ATen/ops/logical_not_native.h,sha256=4HnY8WeU3N3jhqfFxa-NKDAM7EL6cJ0WRFxjkq0u5ek,772 +torch/include/ATen/ops/logical_not_ops.h,sha256=KNfZuS8HKrXNVSRUoYtxMWY1nCELGYng_ZDv2Wh9toY,2167 +torch/include/ATen/ops/logical_or.h,sha256=d257H4bJ6CG8jOA6_D-M6TX2U9lmIA9v-t1CSt2wZv8,1196 +torch/include/ATen/ops/logical_or_compositeexplicitautograd_dispatch.h,sha256=xBax8bjDlC3gCLLjnSdnVH2g7hNdMvoWPKL4n1nryRI,875 +torch/include/ATen/ops/logical_or_cpu_dispatch.h,sha256=mxXGaNamr-nRzho_VXH3HaQyZocaHNaY-0kTBD1tjCQ,883 +torch/include/ATen/ops/logical_or_cuda_dispatch.h,sha256=2Rp4qKQPdSifWBc6nViCNeEK_D_O8jR07tAsFtpII6M,885 +torch/include/ATen/ops/logical_or_native.h,sha256=Nv_Vbz-ngqfxL0LSTjWSEAQvFwFWm8ZEA3PurIYxxTQ,706 +torch/include/ATen/ops/logical_or_ops.h,sha256=pEL60h3bX3FG_kHjMR8BIgHrtOK5dkB2zh8FSPqjgtE,2416 +torch/include/ATen/ops/logical_xor.h,sha256=CaLcPkSYCM-J43t1nw2CcmsoNUBEn8Lro6G2Qj9cUFM,1206 +torch/include/ATen/ops/logical_xor_compositeexplicitautograd_dispatch.h,sha256=byN_XRa6285A-DveuuYDr9Fh_2JvCXR3hQM3mM2qsec,877 +torch/include/ATen/ops/logical_xor_cpu_dispatch.h,sha256=MNYc3FYQRAZSXG-HbtrtX05RycNuWN4wniBkT3WKNXw,885 +torch/include/ATen/ops/logical_xor_cuda_dispatch.h,sha256=HlO2iVUTQ37xwSimEDWQrjpVQla4z9umbNEljEpeeTc,887 +torch/include/ATen/ops/logical_xor_native.h,sha256=fK7t2JSK7IYxdf9GYDgOGgrsZAG1djxz7B0i_278GKE,709 +torch/include/ATen/ops/logical_xor_ops.h,sha256=dSQPCiXaY6LFMq5QZTzON4B-mOI4TyMs8d6r_zBobGM,2425 +torch/include/ATen/ops/logit.h,sha256=4XSSNAgLHYJYZK0B7G9DcF85SQECw5xTf5L2ZJWJJHk,1379 +torch/include/ATen/ops/logit_backward.h,sha256=y41q7PYlhr7C-gMwt3v6wkQ_n6VNuhzhIuAUZJlDOPI,1533 +torch/include/ATen/ops/logit_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=CSxVyNFD7eWCRbjQ5cO0S_TUMocHqGMSYUVCBzq-6vk,870 +torch/include/ATen/ops/logit_backward_cpu_dispatch.h,sha256=XMmC-5e9Y7pEY7hs2FtOPppCUDRPxXdzqvOBPYaVC44,1118 +torch/include/ATen/ops/logit_backward_cuda_dispatch.h,sha256=3gClIMKJzZkeiV5vXYadMxoSQhV2p_7XZGC5zaokx_c,1120 +torch/include/ATen/ops/logit_backward_meta.h,sha256=2h5EPsE75YeGo3KaBk8-dLP-W0rSV9rIdRiHZF7zdww,653 +torch/include/ATen/ops/logit_backward_meta_dispatch.h,sha256=aHiDpUM5bJbKRVhwFwBoBgSlX_dVccQs-maFbFs54tk,1120 +torch/include/ATen/ops/logit_backward_native.h,sha256=XXQ1iUxoljvcCB5nuyb5Fnb8WTAWpTGSOJiWIx9TaeU,697 +torch/include/ATen/ops/logit_backward_ops.h,sha256=G-QYCWWmzHqXOtzLfoTovkMD05aP26OvMUnheKBDNoU,2076 +torch/include/ATen/ops/logit_cpu_dispatch.h,sha256=yYIri6xqOJjcWNVZ3ScQA2Z6Lur9iMc62fzUCfXN5KE,1071 +torch/include/ATen/ops/logit_cuda_dispatch.h,sha256=9jvZQgCy7vjpEVrk2kQZqnSsMPYFdaDU2OX2iVj2Hs0,1073 +torch/include/ATen/ops/logit_meta_dispatch.h,sha256=_BuD6rSOVdAss8BSJXzoSOd01Pdv_GRsnZEe8C1Z1Rc,758 +torch/include/ATen/ops/logit_native.h,sha256=J4pQzirsoB2eYfn2CLsloYUCIc5Mnk0cq5X81DIMUa8,720 +torch/include/ATen/ops/logit_ops.h,sha256=1OzmAv6dyVbDQ8TTpW0T4_lIvPKGBsj9dm5Pwjng98s,2395 +torch/include/ATen/ops/logspace.h,sha256=Nz7QDiyWMkWv8obbkPhLGd692WqajI_t76CpjsbALEM,7428 +torch/include/ATen/ops/logspace_compositeexplicitautograd_dispatch.h,sha256=NB0a9nvxG3To6obIr1X-qigeBePzMozJa1MzR1Y_38s,3086 +torch/include/ATen/ops/logspace_cpu_dispatch.h,sha256=lIbC92l2z6YYc1i69eBuzc9N3mxFJLCF6E2Qvhs5-lY,938 +torch/include/ATen/ops/logspace_cuda_dispatch.h,sha256=Xi-FnMUCpNarqwhTiE7UEzDtf4sU79WyplN-hg-5C4c,940 +torch/include/ATen/ops/logspace_meta_dispatch.h,sha256=KLZEzq5BpvGTkBIU9xk5s4ksGuoETrCxMAhMLoM8Dwc,940 +torch/include/ATen/ops/logspace_native.h,sha256=wMdJDitKqhyGiorviXHr9ET8ot6Bugp7JJYODrWDWHE,2155 +torch/include/ATen/ops/logspace_ops.h,sha256=HCwUnHbcAWydHbbzETqmQO5yEbJ4XQqaP_Hj2q4HINk,8715 +torch/include/ATen/ops/logsumexp.h,sha256=TB6QCS9C9JKZQTvoQ-yWxFbX7Yxi1EKB8PlzA_wMYb4,2155 +torch/include/ATen/ops/logsumexp_compositeexplicitautograd_dispatch.h,sha256=UrwIhA6det4vpkAUASP5QCkB5lxt9mfTIe6sfKJ1o8A,808 +torch/include/ATen/ops/logsumexp_compositeexplicitautogradnonfunctional_dispatch.h,sha256=IcoFrqLTlhRccV0UBYg8WcUR8cDbWP8qUUs5DB5Sb2Y,975 +torch/include/ATen/ops/logsumexp_compositeimplicitautograd_dispatch.h,sha256=zK_0YBaabZeNgognSpNYm0UZxRn6RSwfzgBucfiUh8o,1047 +torch/include/ATen/ops/logsumexp_native.h,sha256=42wUaie-IyIutRl4qkz5TGFYPgfSi6-LlOzqTlLcNFI,861 +torch/include/ATen/ops/logsumexp_ops.h,sha256=fm1fNrD_Jf9uxmIqGDvZfx5tIfOHFSrOk5irIx82sZY,3325 +torch/include/ATen/ops/lshift.h,sha256=uibLGdx3W9jR3796lLsC59hG1YXASGbJL9qIb53KcoY,1978 +torch/include/ATen/ops/lshift_compositeexplicitautograd_dispatch.h,sha256=x4myy8Ylu7bzDpBNtcllaXLY81TSMLY0EPrn0eahh7M,1144 +torch/include/ATen/ops/lshift_cpu_dispatch.h,sha256=ImbVJ1OFP-DKtWTFKCfEkjMU-BE_IXHa9yro9xn7fJQ,996 +torch/include/ATen/ops/lshift_cuda_dispatch.h,sha256=Mfch3l_jbK5XQNfaLhXp6Ocvo5HUKhGNsQzHcfLPGw0,998 +torch/include/ATen/ops/lshift_meta_dispatch.h,sha256=8BQni9LNubFUj5L9wWrzOIIUCYoG5w_N5p0wEXKFP0U,830 +torch/include/ATen/ops/lshift_native.h,sha256=J2FMS6oqmiE9RbYyQD7Zv7xT25hJ29uu6Izmj73LjtI,993 +torch/include/ATen/ops/lshift_ops.h,sha256=lMAbUXO9G11jNkW4T1b8Xa78MjXkS029WDzU3eemjqg,4520 +torch/include/ATen/ops/lstm.h,sha256=e2utVUAM8wG4b8VDiRv82ScNsqkyg-Cy3XypGTRvNgI,1601 +torch/include/ATen/ops/lstm_cell.h,sha256=5Dy3BUzfvljOU7gnJWeVTlIrqaKoZVe4pPcprdC3WRw,935 +torch/include/ATen/ops/lstm_cell_compositeimplicitautograd_dispatch.h,sha256=V1I_BQsMZbtLXgy7EX9fYm3v75RxOLeXa2ZaR4Dpk3Y,948 +torch/include/ATen/ops/lstm_cell_native.h,sha256=gXwNSyM7JM2AXsy0n0EPY7h9BT675Dum352HymlIARg,671 +torch/include/ATen/ops/lstm_cell_ops.h,sha256=dultg311Un6Q4M2KQAK9BMOAHJ6MhgkdJiKvKEfPais,1565 +torch/include/ATen/ops/lstm_compositeimplicitautograd_dispatch.h,sha256=fkyqlCWp8UACGxzhsW-_yZrLasxjQYICWWrzftAIlYQ,1191 +torch/include/ATen/ops/lstm_mps_backward.h,sha256=xpYI8JQqwq998RzUFNAkgjhuPjUbGTE2N58sF4SvMHg,3645 +torch/include/ATen/ops/lstm_mps_backward_compositeexplicitautograd_dispatch.h,sha256=0UtOvBVVoRn4UgxEcsrLfSYljaKYc_8iZfI_xeOCB6g,1701 +torch/include/ATen/ops/lstm_mps_backward_native.h,sha256=9B-EL1yBAsrTiBwsd_5AvjI40Uxqxm7UFH-0pmmiQX8,928 +torch/include/ATen/ops/lstm_mps_backward_ops.h,sha256=9S2U8U0upElrqYoRH-S9ziKm3TtpeNFPvqQNLDJ0BDo,4441 +torch/include/ATen/ops/lstm_native.h,sha256=o3PMhWEnBzHrnz7rpwMsSg8VUpYIX3UKZx_6t-fP0oA,914 +torch/include/ATen/ops/lstm_ops.h,sha256=4uGYzXkv_YzOjtwsnac3ARqpnng6ZLBX3V2lcg6ydeA,2800 +torch/include/ATen/ops/lt.h,sha256=Niay9kilblvu43ffVkd-P-lol4WOeRaxOv5RA1nTkVg,1830 +torch/include/ATen/ops/lt_compositeexplicitautogradnonfunctional_dispatch.h,sha256=SArQJmYLRzdjhA9J0YtsRqanWbpkkk5zgBBStLxzXOM,1034 +torch/include/ATen/ops/lt_cpu_dispatch.h,sha256=8cQPcA5Xp1iDmRxCcxKx4l1mRAAiZXSIDRF1vZCSMBo,1366 +torch/include/ATen/ops/lt_cuda_dispatch.h,sha256=b8TooVTHOkBITOLJYs3wsDVv86xvYXtXSpy_Idg7Bd0,1368 +torch/include/ATen/ops/lt_meta.h,sha256=fV4WjB-PzIvhd5rZWsphTq95ngbt5wjedtruUNhd4SE,762 +torch/include/ATen/ops/lt_meta_dispatch.h,sha256=axFyNImwwx6g7Nw3KlcTs7sVCnQ3pVMj7fjo8FFv8DU,1368 +torch/include/ATen/ops/lt_native.h,sha256=hMfYBXg_UJmWgei_tA4ha48Uoq5HGv93VixZYOM8Jk0,1216 +torch/include/ATen/ops/lt_ops.h,sha256=oSUkOkhlcuK9H2yWjI7nyQ8XBVvh6uGez0EZpWzJK-w,4376 +torch/include/ATen/ops/lu_solve.h,sha256=bpio8iokexr8D_crgsiX4aZUnlT7MbLzADMYhThK6e8,1371 +torch/include/ATen/ops/lu_solve_compositeimplicitautograd_dispatch.h,sha256=6-UqzkNBV-lzs9QzSQEJGtdwXCHupVq2c8AGODa6REs,1101 +torch/include/ATen/ops/lu_solve_native.h,sha256=ypER_nRQaAUFhBkSlk1Kp7NhbnoC_UoxE7fNtWGO9K0,685 +torch/include/ATen/ops/lu_solve_ops.h,sha256=Gp6XD8HHV1TqgNhX6OjiSj-zBPjBwrZAjIDVB4lIwxo,1982 +torch/include/ATen/ops/lu_unpack.h,sha256=BDmtY2V9IQS93k49ZyyFdCN0elRtNJrLrFLs6V68LsM,1935 +torch/include/ATen/ops/lu_unpack_compositeexplicitautogradnonfunctional_dispatch.h,sha256=uknmKso8TMw5EhozlajBM-DkV9dXFO0WTr71SVUfMfU,910 +torch/include/ATen/ops/lu_unpack_cpu_dispatch.h,sha256=8V3hXMYZBq1UiRSMlyFWdNLUz8mgALSplAnvjrzu408,1295 +torch/include/ATen/ops/lu_unpack_cuda_dispatch.h,sha256=_n5AavfVhIkZe7F2ysigMDGt09FL2nPHkOJufdPE4l8,1297 +torch/include/ATen/ops/lu_unpack_meta.h,sha256=1FoWSI_YrdFOoxBMoq2_pT_h3jw-3HFvBuKSvbc4i28,660 +torch/include/ATen/ops/lu_unpack_meta_dispatch.h,sha256=bjfhj2g0TjCgAjc4SIZir8fBgrR3otbysU-tIn5YHc4,1297 +torch/include/ATen/ops/lu_unpack_native.h,sha256=osRGJN-JmKc_o2Qw_6AEOiY0rXexxeYrFlJkAMJtptA,729 +torch/include/ATen/ops/lu_unpack_ops.h,sha256=C0sL3Zutx3J54O7HJNi8qfL-I1ImkUkQf1apWuhkBfI,2492 +torch/include/ATen/ops/mH.h,sha256=Jglri1vGC4-ZR3w1yr6xmua6Ryp7g8nIs_jckfwM3rU,487 +torch/include/ATen/ops/mH_compositeimplicitautograd_dispatch.h,sha256=Qgn_B4neSq-pHvFFlgIrYUmjDfzDkDXeFqWYTX2atNk,760 +torch/include/ATen/ops/mH_native.h,sha256=t1VzCcjHiTaxa7aLg580ClparYvvDPP-GvIz4ggcDSg,483 +torch/include/ATen/ops/mH_ops.h,sha256=cLNQa865PZ3SoxKiOVwpx8UZALX9yifKivX_Vi7I8do,961 +torch/include/ATen/ops/mT.h,sha256=kDG_AJra-JMEvF5YWiKjQOnBu9j_G8vdSGHNp8YhDBQ,487 +torch/include/ATen/ops/mT_compositeimplicitautograd_dispatch.h,sha256=9XrU66nNz5i8TeYoRIaxRsuVZhBXBB4Plz9Vz_Tztp8,760 +torch/include/ATen/ops/mT_native.h,sha256=YjOpGe479tIF9WeJoZkA2pX9nkS-VEjeHwEipO30faA,483 +torch/include/ATen/ops/mT_ops.h,sha256=p5lsPyFQN_IhodPzLGgdMkUdLuWkUsDlLWBM4XQAdLU,961 +torch/include/ATen/ops/margin_ranking_loss.h,sha256=5uHM-bjy1JlUKELJPDPwLHPvZYjY2Kgm6v-jV5Y43FA,898 +torch/include/ATen/ops/margin_ranking_loss_compositeimplicitautograd_dispatch.h,sha256=bdfxYFL03AA-RibFkW4dSxsGa5Qi9yamzvUIEnD98LE,891 +torch/include/ATen/ops/margin_ranking_loss_native.h,sha256=_I4_fyepST7oBnP8SX88pqH0wmSnO_rOxk1LccdOP08,614 +torch/include/ATen/ops/margin_ranking_loss_ops.h,sha256=yQDKUukOnXBwGxy4FY429Z3w1-VDXOoIE4d7-5PO9Ig,1313 +torch/include/ATen/ops/masked_fill.h,sha256=_EbMQ-ePZNOmlh-FOVjBzMPPJjmya7rztXI7A7lkZ7Q,2265 +torch/include/ATen/ops/masked_fill_compositeexplicitautograd_dispatch.h,sha256=GtC3FtJQ3kwkxuAo642-kJdb_qckd2ZzpS-iULidfzY,1468 +torch/include/ATen/ops/masked_fill_cpu_dispatch.h,sha256=DWObWOVWsfS7hpSg7kn_0utMHCfake_YmwAgAUT8JCg,880 +torch/include/ATen/ops/masked_fill_cuda_dispatch.h,sha256=WahwAlL1cI8vj-6jdBQ2mJQsYIOAlGJVTtm7MCjXWAs,882 +torch/include/ATen/ops/masked_fill_meta_dispatch.h,sha256=YXkifJG75xG23gj1o9EmvemHPRbvyhztqSN-knCvk4k,882 +torch/include/ATen/ops/masked_fill_native.h,sha256=jMcp_4fjlQFB7S1G4cRyUWO1ETYZaY0LfD81E6eC9qI,1990 +torch/include/ATen/ops/masked_fill_ops.h,sha256=ecc3eDn5qb0kjoTR_5a96wBezNpWdDV_FueAIkly9DI,5036 +torch/include/ATen/ops/masked_scatter.h,sha256=RwcnvGS52j93yRoChAWoQAbaNFOXo112_2eB6xDOUFM,1377 +torch/include/ATen/ops/masked_scatter_backward.h,sha256=wx6qqlUpdL3GPYYntJnCOwIQI3dZmyqVZp1ATnMbp4s,1788 +torch/include/ATen/ops/masked_scatter_backward_compositeexplicitautograd_dispatch.h,sha256=Fq6xvGYz_QvL5SMKHBwzjsQAZxOLgwe9Ze7A_6sdvTo,973 +torch/include/ATen/ops/masked_scatter_backward_native.h,sha256=X0MHZO73Xo2HpCoqq85r_R1nxN-iioY0FXWBnx82tHU,570 +torch/include/ATen/ops/masked_scatter_backward_ops.h,sha256=3lvuKm4FiYWit5BaIAQ_xi2hlUooZXh5W0f9OZ3zhw0,1213 +torch/include/ATen/ops/masked_scatter_compositeexplicitautograd_dispatch.h,sha256=HMpnqJA8Prp_D--kCluZ7KhvCIW3rQAies1AhDq2unU,1101 +torch/include/ATen/ops/masked_scatter_cpu_dispatch.h,sha256=_Leg0ox_AEk2TWF1pr2Sa3HZk5ue1ydwvDImeokiFno,777 +torch/include/ATen/ops/masked_scatter_cuda_dispatch.h,sha256=sNnC6beSVZc45z4K7MmAehRQ73m-qmhgkZ1VJC0Fi6w,779 +torch/include/ATen/ops/masked_scatter_meta_dispatch.h,sha256=8XCK4lE9U9k7q_CCD857a5Xs38lcEOa7MDWa1D154SE,779 +torch/include/ATen/ops/masked_scatter_native.h,sha256=ZlM1nVXZ2orBpOZpxkrb6z0RHqLr77DX633lZeGPctA,916 +torch/include/ATen/ops/masked_scatter_ops.h,sha256=a7uV62SrSgGX6lRzgNtfHrJy1ze9WQTKXmx_1dWEigs,2710 +torch/include/ATen/ops/masked_select.h,sha256=exCRhiM2FdCtCYqSI45koKZakvUQOoX0ArBbpOmD9ns,1217 +torch/include/ATen/ops/masked_select_backward.h,sha256=rw3bRxMX7MSNvKQMWixfr4qU38IbVD27HPASfvWhdtY,780 +torch/include/ATen/ops/masked_select_backward_compositeimplicitautograd_dispatch.h,sha256=2RFDp1nA2LuekX6SdqsjouB2lyEE4l2YKeK0dx9fJG4,831 +torch/include/ATen/ops/masked_select_backward_native.h,sha256=4MWrs0VKmfc8WsEZaQV7--hWzz4CsrCWM495S_3j4Vc,554 +torch/include/ATen/ops/masked_select_backward_ops.h,sha256=hDyHqsvk_q8EGODw7GJr4ohBI3O2z-AyR-ddVxNWqM8,1184 +torch/include/ATen/ops/masked_select_cpu_dispatch.h,sha256=8Yt4cYmNe_XhIorOZp6C2YdCxP9qXjyAtqgfTeLourM,973 +torch/include/ATen/ops/masked_select_cuda_dispatch.h,sha256=flnYJp7xyQbIouWT8T3ojlp61gnxOuX3fRaylYutPjA,975 +torch/include/ATen/ops/masked_select_native.h,sha256=mQts7YLhDtSpJ34PXFuaQvj8dfKakb_J5ORCtHmkJYg,843 +torch/include/ATen/ops/masked_select_ops.h,sha256=olTZ87FOp1uTJUha7l6tzv8E9lJw8bpQoz8cXkYlCj0,1798 +torch/include/ATen/ops/matmul.h,sha256=8xvjzS8MS3IyXouIcgZ-Lks905KxKDVDk7sMRXjques,1156 +torch/include/ATen/ops/matmul_backward.h,sha256=UL3dgJwP0P4UaKwK8hHk3qXn-SrOyP_tjwxH_4SrBAw,1726 +torch/include/ATen/ops/matmul_backward_compositeexplicitautograd_dispatch.h,sha256=IfZAwsZXBjNcNtWoYyxLNmLAP-8-3M9v3CrPt_M6FD4,1135 +torch/include/ATen/ops/matmul_backward_native.h,sha256=hb-A_VBd4CUr1VDqQrgPeZtzWtq0J7nwIVH_QLLfGWA,818 +torch/include/ATen/ops/matmul_backward_ops.h,sha256=bo-yyzhkdhIQf6SdoUtq6Aq5kFgd3_Z7uGX447LbnDc,2414 +torch/include/ATen/ops/matmul_compositeimplicitautograd_dispatch.h,sha256=QJtM3u5qAYC6-faSHGw1n0_QJhQXCGkOInYiOQrSZaA,999 +torch/include/ATen/ops/matmul_native.h,sha256=a8EI-ve4QEyZuwBV5VpkhxMriDtbLn2xUOVA3Hqz4xI,815 +torch/include/ATen/ops/matmul_ops.h,sha256=-d5ZUx3JeMDLE8LWeJrK_xjVhpzjQ1j5t24u0ISjrzs,1762 +torch/include/ATen/ops/matrix_H.h,sha256=h22jKZVvthNCtb-Hyc6B5-xyyEsAhA-bLEPofsIR0ME,493 +torch/include/ATen/ops/matrix_H_compositeimplicitautograd_dispatch.h,sha256=-ajflMamPGTvhRi4uy3-skucUUufMNlXVi6AqqP6Z3M,766 +torch/include/ATen/ops/matrix_H_native.h,sha256=8VMFPyYSpWRe8E3-0ds4fAmk2PE432f-bCeAmgpbzSc,489 +torch/include/ATen/ops/matrix_H_ops.h,sha256=88FqmS-ruJsbTZggReLMHxEWZCtxdiN74HLrZp-js6Y,979 +torch/include/ATen/ops/matrix_exp.h,sha256=WAKVQSB4ey2QRI8iOFqIDvuDB1hWQemYOgGSLTRbVLI,641 +torch/include/ATen/ops/matrix_exp_backward.h,sha256=eyRN4U3FTbNGd9WXji-qEX8ZiC42JD-AbsOLVuF1I1o,721 +torch/include/ATen/ops/matrix_exp_backward_compositeimplicitautograd_dispatch.h,sha256=uUS28D7wPGFYwHYcsXYkmYCd5u92FjNrrjH6fIpR4Zs,802 +torch/include/ATen/ops/matrix_exp_backward_native.h,sha256=O08w6Ve-fmwiuQelFbp6n_dn-JUPemWJI5dltuwWwUw,525 +torch/include/ATen/ops/matrix_exp_backward_ops.h,sha256=HWbsK70bFpXN9TQzq6MY009goecdIRZ9e6xB2a34o3Y,1089 +torch/include/ATen/ops/matrix_exp_compositeimplicitautograd_dispatch.h,sha256=BTFybvwdLa7K-3s4NLMqEih9GfEaV3V7dQcrPTSgBYI,768 +torch/include/ATen/ops/matrix_exp_native.h,sha256=zcUwmXWjlk8DYkbrl2USB7Ab66yfjbDn5MLPIqQQqR8,491 +torch/include/ATen/ops/matrix_exp_ops.h,sha256=ERRMvk04r1faHxw4wmZWJnnFlt3lDQZgcAfnRX8B4vc,979 +torch/include/ATen/ops/matrix_power.h,sha256=yLxgn2Sj-8AXoefYTpWYkoE_qNGIzYc8Lte85K-FS8Q,1138 +torch/include/ATen/ops/matrix_power_compositeimplicitautograd_dispatch.h,sha256=ggBKUWmjgiq4CPpuybMr49VyOwqgVHHpTPKx2UgsQzQ,972 +torch/include/ATen/ops/matrix_power_native.h,sha256=wdNqlCx0Jf0Z0A2ssJhs3-17mPdfVG3Uq5OF465rYn0,599 +torch/include/ATen/ops/matrix_power_ops.h,sha256=BZ2IUjwXXdtgUR9W_qCl1O4BtZL3JANnktrhUFLgaHM,1702 +torch/include/ATen/ops/max.h,sha256=en36XurtpBq2woZgjGEVsCq7kCe8Em-6A_esIBdXQWI,3772 +torch/include/ATen/ops/max_compositeexplicitautogradnonfunctional_dispatch.h,sha256=oQgn2RhxmfMGPuFSINQjiah5-NfLl-LS3wWBFMjcf9s,845 +torch/include/ATen/ops/max_compositeimplicitautograd_dispatch.h,sha256=mZb4YTt4QH5ZgOdfKTAruj3yq4RwNUI4vDMBmDizdNE,1426 +torch/include/ATen/ops/max_cpu_dispatch.h,sha256=-8j1oSNDI9PSKEJtpILgrQNqadVeBa0MKmsdWTYdehc,1292 +torch/include/ATen/ops/max_cuda_dispatch.h,sha256=NT0jfu-2O7T2whYD6ZjkJdDH9Xsrr2S6sHs32eI1FjU,1294 +torch/include/ATen/ops/max_meta.h,sha256=1zAiuMoppJFe_DSTuYQTN5jjSGoRrfn05YblIfNFbwM,1088 +torch/include/ATen/ops/max_meta_dispatch.h,sha256=3i8JSPJptX5dfA782p5dM_m43XoPtp7qKI7cyPxlrq8,1092 +torch/include/ATen/ops/max_native.h,sha256=0WSKmEb_O4pofgVjWqDCDIZwVPk3YvAuSbplFK_ikTk,1507 +torch/include/ATen/ops/max_ops.h,sha256=R_eePJPATC2z_BZVwW0AuvsH1eiCL-2BJRP5hFcTDUs,6293 +torch/include/ATen/ops/max_pool1d.h,sha256=5V64npPVE-LQ7n-amRf0d5tJaOgx04cpMOd7oAjM4zI,922 +torch/include/ATen/ops/max_pool1d_compositeimplicitautograd_dispatch.h,sha256=DF8sZvX435wLllAp6uvpUTgms25HffE1cgKSdBKBqyI,901 +torch/include/ATen/ops/max_pool1d_native.h,sha256=K9SYP17EbLP2H-YJhAQy0CCUIfrroEPAy3TvU45RqjA,624 +torch/include/ATen/ops/max_pool1d_ops.h,sha256=IaVQuU1IJoH79YHPQSh61HMXNZh2p2uIkfun9wNnsjs,1390 +torch/include/ATen/ops/max_pool1d_with_indices.h,sha256=jkIGa1zT2SVrE6kP9Yod4BjSoPoqfcBW5Qhd48-zslw,1009 +torch/include/ATen/ops/max_pool1d_with_indices_compositeimplicitautograd_dispatch.h,sha256=C5kjki9wDdSlniaafgHM70uAptXDB_N20LU7ujYF9cw,939 +torch/include/ATen/ops/max_pool1d_with_indices_native.h,sha256=wCHHr9NgcOarsVWxTpJTeuAr3-Y-7CQ_SJ52z7RyceU,662 +torch/include/ATen/ops/max_pool1d_with_indices_ops.h,sha256=l9lpdn_WGW7-QbnyCBNjgMgks9I3jY3n6-Cem8GI7Gw,1514 +torch/include/ATen/ops/max_pool2d.h,sha256=1UR7drXElbeGyRXkvFnzC5cDBi6s3yhnCjiHaugHMmM,922 +torch/include/ATen/ops/max_pool2d_backward.h,sha256=z9Qu79WSHLWN6UxomaqJ8Sv_Mr-RIKUivY54bxlHrKo,2170 +torch/include/ATen/ops/max_pool2d_backward_compositeexplicitautograd_dispatch.h,sha256=gQ7VUKhB527wOR2LVRrxQM5Y5FcwZ3J2TUYAlEZp1Uk,1210 +torch/include/ATen/ops/max_pool2d_backward_native.h,sha256=aKz3H4YmnmDCSk1TRoaNP8eT3zoq1dIxwRyaBHbZUyg,676 +torch/include/ATen/ops/max_pool2d_backward_ops.h,sha256=hRuw2V8glUrERNgIpPruhr7-lTtN38FsSF-1j-skkYA,2698 +torch/include/ATen/ops/max_pool2d_compositeimplicitautograd_dispatch.h,sha256=9Gok7VNwNIHmV2NfC7fxifz_nFTTucD4vMQUNfmQhvM,901 +torch/include/ATen/ops/max_pool2d_native.h,sha256=q1axMLXfKeSHGSSVH7CCKdWFftCisnz9XT9_hN2kOu8,624 +torch/include/ATen/ops/max_pool2d_ops.h,sha256=TJL_UqQ1qY-3PAbqKF7O9O-340YvTUyH1hIydqpGGLA,1390 +torch/include/ATen/ops/max_pool2d_with_indices.h,sha256=71R_3rDTuXpTDzo5YPmJMxPMBbwEqxaPgxh8oBgtrcI,2234 +torch/include/ATen/ops/max_pool2d_with_indices_backward.h,sha256=UBscMPb3ZptVYuPCo3Yjnf4SEIyiLc1nxVy9akCofbY,2464 +torch/include/ATen/ops/max_pool2d_with_indices_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=nGoahet0rfcevcKyuG56TOJh6cIRgbh8noXxmSrw-Ek,996 +torch/include/ATen/ops/max_pool2d_with_indices_backward_cpu_dispatch.h,sha256=lUEzB6hWsVCiLjqc2ll4C9r2p1XouZeYqe3v7tMIS48,1509 +torch/include/ATen/ops/max_pool2d_with_indices_backward_cuda_dispatch.h,sha256=HJxfFJ6ALfEI2gXa0su2rFCB8IXMNqi54YGvoAmX94c,1511 +torch/include/ATen/ops/max_pool2d_with_indices_backward_meta.h,sha256=Dp0sI-dD9gYTuTkJsSyHhvREbT7abi99KfCB9_wKhQ8,792 +torch/include/ATen/ops/max_pool2d_with_indices_backward_meta_dispatch.h,sha256=u7b6dIwWfdxARQwo_3GP-bJxQgDH_MEQWdpsYt-6bu8,1511 +torch/include/ATen/ops/max_pool2d_with_indices_backward_native.h,sha256=Q4U4dMPNSJ9eyFaKuhg55Ymo1gQGl25U6mKPAkAVq0w,1261 +torch/include/ATen/ops/max_pool2d_with_indices_backward_ops.h,sha256=eGx6YAGwHAlEjZFRIzOVOTuGtkI3mxjRqMQKVROrfRM,2976 +torch/include/ATen/ops/max_pool2d_with_indices_compositeexplicitautogradnonfunctional_dispatch.h,sha256=T5MFgLSN2CrBL-ec8cVQC8n0L0qV6_6lIL8JHVbLw2w,965 +torch/include/ATen/ops/max_pool2d_with_indices_cpu_dispatch.h,sha256=Ya8HebugKpVAxZwvxzenIVbhwld-JK6gpP5SszUp3ZI,1437 +torch/include/ATen/ops/max_pool2d_with_indices_cuda_dispatch.h,sha256=g86F4IdJFFVnwVQeWiIqaTyjZ8GY4AeMEtII0CHrSHM,1439 +torch/include/ATen/ops/max_pool2d_with_indices_meta.h,sha256=B9xRpKvNdLLblw-C5CIjdRZtul16DaDbunEbHGv5hFI,723 +torch/include/ATen/ops/max_pool2d_with_indices_meta_dispatch.h,sha256=HUVhgX_v6sL4iuzPQXLee1LS1dUNlJR2ji6ZRWv6xrk,1439 +torch/include/ATen/ops/max_pool2d_with_indices_native.h,sha256=vLMlmtNjZHOkk-thDSpxr-LMzqYbHsFjKZIuCqcejuI,1138 +torch/include/ATen/ops/max_pool2d_with_indices_ops.h,sha256=ekOCHSnFYYomUdjFGsWjCNSPp9-r6ARbWRbazrkIm5k,2772 +torch/include/ATen/ops/max_pool3d.h,sha256=qMN8U_DnosTErLdkrMQVSmskLSeJ07yLWkZwL3kxUfg,922 +torch/include/ATen/ops/max_pool3d_compositeimplicitautograd_dispatch.h,sha256=-59HnY2XbtqxV1pnx0diBuSVITVyeCxnyC7aXE4EdbY,901 +torch/include/ATen/ops/max_pool3d_native.h,sha256=M8IVUvDK6Oa1iLyUL7rKRSUHnwVwxlQc-6YTBFj-4z4,624 +torch/include/ATen/ops/max_pool3d_ops.h,sha256=7POoAsMi3CxO7SBq2_HyYPOlUjTcWaXquonyVeQZWZA,1390 +torch/include/ATen/ops/max_pool3d_with_indices.h,sha256=IHsezZi8dB34FOGpRk4ZIcCvvYq75V6OFFJZ7AW0OLc,2234 +torch/include/ATen/ops/max_pool3d_with_indices_backward.h,sha256=fRQRuKFyZtLAKQymanxFdTNiwf7Gp_0StTHeq3xx-bw,2464 +torch/include/ATen/ops/max_pool3d_with_indices_backward_cpu_dispatch.h,sha256=g9T7v0y6tUwzCVFeSiL0L_Ywsst0ZrfoUUsI2VGvySs,1509 +torch/include/ATen/ops/max_pool3d_with_indices_backward_cuda_dispatch.h,sha256=1UkC4-ToPZ3ZYtuEBAHRlALZ8H2s5SyqGCBXiGOUhzE,1511 +torch/include/ATen/ops/max_pool3d_with_indices_backward_native.h,sha256=jvefMOHGWRSd-q5wYrX-ayMcNsKa40WKkhSrQplwz6M,1553 +torch/include/ATen/ops/max_pool3d_with_indices_backward_ops.h,sha256=Q1JrCcH49teFT6dnxRo0fQvDI9SV44BHCk9tjJc3Lp0,2976 +torch/include/ATen/ops/max_pool3d_with_indices_cpu_dispatch.h,sha256=__GTLWy5DSpJjFbjGsNAPx-mnand2rtIgx15Wtkhb3U,1437 +torch/include/ATen/ops/max_pool3d_with_indices_cuda_dispatch.h,sha256=OJxVUg2NawWQ4mCgbx1rIbonSR8zDFxGhUjMNLj-Mz4,1439 +torch/include/ATen/ops/max_pool3d_with_indices_native.h,sha256=3dVB2iJDD3DFIDSBMbOLgTpVHi6yrwWWWzmeqRsa4Js,1437 +torch/include/ATen/ops/max_pool3d_with_indices_ops.h,sha256=_DhxaSBbJFcioUiE1cvVTzIcAWY5TAzt_ozxLSTktDg,2772 +torch/include/ATen/ops/max_unpool2d.h,sha256=fJDWWBRxicpQ0DvsfozF5I4MO9Vf1bBqX1Rx2ZVNL0Y,4451 +torch/include/ATen/ops/max_unpool2d_cpu_dispatch.h,sha256=Y5vJM3pG_qThEErm0kGhNUrm8P-Ge6qzeUmcQBSqBPU,1499 +torch/include/ATen/ops/max_unpool2d_cuda_dispatch.h,sha256=6LLpeLQzJQAJZJ5s5AavwziNRro5QpO9tfD6x1vsTfI,1501 +torch/include/ATen/ops/max_unpool2d_native.h,sha256=XSqRSX9E5-dP8r4e3eF00aYaSFtOfjAD3HyLueRiZbs,1011 +torch/include/ATen/ops/max_unpool2d_ops.h,sha256=nPR0-D7Re1VsYXg7C8vAjTNabMxMMFGx8tYnk4qlp7w,2030 +torch/include/ATen/ops/max_unpool3d.h,sha256=itV8m6SBD9riJUuaFIB134KUJAa-AKSIYe2-RzpHjTM,5429 +torch/include/ATen/ops/max_unpool3d_cpu_dispatch.h,sha256=11aqKZqsA1BaSqbM3qVgxe9XcL_9vRKaBut5vDSe3BU,1793 +torch/include/ATen/ops/max_unpool3d_cuda_dispatch.h,sha256=2uB5CE8MsqGfIDFNyJJqZbiNF0TCahD8LRMihrfp0ss,1795 +torch/include/ATen/ops/max_unpool3d_native.h,sha256=LderDFqMLZrTHdJ3kfT3oR3d5XNq3lDhZwyijMVDQkQ,1207 +torch/include/ATen/ops/max_unpool3d_ops.h,sha256=NoGj2d00USQl2MmgubCN_gqh-EolJlFVwpJ1mWSeglU,2356 +torch/include/ATen/ops/maximum.h,sha256=7Ke_xLoCo3pQjkjMCyVwgSoRfdvA8V0KdKz1ZdL7F-k,1166 +torch/include/ATen/ops/maximum_compositeexplicitautogradnonfunctional_dispatch.h,sha256=KKg9KPUCB80Lh0emHI4KNMDobeFWnyINTReOsZvw2xA,817 +torch/include/ATen/ops/maximum_cpu_dispatch.h,sha256=pghd81gWcT09b45l264XaXdvV3mSfUF84JYwWnaAHxg,958 +torch/include/ATen/ops/maximum_cuda_dispatch.h,sha256=pCVRIvSNume8t8k3N5X5A5M0xNpES1rttjbHt2oRRhE,960 +torch/include/ATen/ops/maximum_meta.h,sha256=K6mQS2kuy6YnrEIGCPz3DvtpPzp9Xl7gp38AjomiiaQ,613 +torch/include/ATen/ops/maximum_meta_dispatch.h,sha256=TgoZmCVzVoAgMXUROk3C0u_VY05zZEaKtscRbBKdfuU,960 +torch/include/ATen/ops/maximum_native.h,sha256=D9y5v143VDYBpw82MCqiX0xOPPOcwK4hP3oX1QP8_ro,636 +torch/include/ATen/ops/maximum_ops.h,sha256=x4MX1aRx-EfJg2MnxTS3rHfxAKSIhaaGSCpHJneHjVY,1768 +torch/include/ATen/ops/mean.h,sha256=QmnfjSRe-OHn-y60HTf9M8fXs2ITUeOd0lXusbxB8fU,2782 +torch/include/ATen/ops/mean_compositeexplicitautograd_dispatch.h,sha256=lBJcEkcrmonsFXEHajwaSLH6sej6rQHgUMakyz-9FLY,812 +torch/include/ATen/ops/mean_compositeexplicitautogradnonfunctional_dispatch.h,sha256=Sas93z-t2-Kjxpo2-E4GFS0JCNw6Th5rtmtZDYLfIa0,887 +torch/include/ATen/ops/mean_compositeimplicitautograd_dispatch.h,sha256=7dYq1GoCQG72KhZTvPF1AEiBSYNLEDg-tMdOrQqMzgE,1169 +torch/include/ATen/ops/mean_cpu_dispatch.h,sha256=XnArgxA-jCGMpfQt8rPIe1tl58UcocE79jfnijiyk0g,1149 +torch/include/ATen/ops/mean_cuda_dispatch.h,sha256=6DtFyeRGQlTmdHis5SDecrnZyAsoPySDGbkyWis2c84,1151 +torch/include/ATen/ops/mean_meta.h,sha256=m-LeqcXbrCId0w4ccWf6Cpiy8Do31SuNr1KIJ6_-tR0,668 +torch/include/ATen/ops/mean_meta_dispatch.h,sha256=OUoO31Hs4DFrwh2cr25Doi6GH4prJRAEtGGKu9G4We0,1151 +torch/include/ATen/ops/mean_native.h,sha256=-u46EFPEf3_s3hizN38y5QLp9Cqd5m5KBWca3t19B5U,1413 +torch/include/ATen/ops/mean_ops.h,sha256=5TRHIyG_LSRZ6DSCNB2sG5seIVL5eKz2yLqYPf5H82E,4519 +torch/include/ATen/ops/median.h,sha256=nugEt1bEcMDcpxL0HXy2othf7nR_rlfRtdnSllu1vmQ,3205 +torch/include/ATen/ops/median_compositeexplicitautograd_dispatch.h,sha256=NI0DRVMls9CQcIbk7ZQ9aIyTQBGyH1tB2oeC1ziWrpM,979 +torch/include/ATen/ops/median_compositeimplicitautograd_dispatch.h,sha256=kbnqBK7nzMdcrHhSDEYuNSbPJYiFqjAP747i5KtJ6yo,1155 +torch/include/ATen/ops/median_cpu_dispatch.h,sha256=L9rNNPcB-6eB5fPltEpOErlmdMbh2-K3aAKRlL5ntY4,1041 +torch/include/ATen/ops/median_cuda_dispatch.h,sha256=0U0DKCxKT3UjzwPSci0N0NA4TsV1FanDeUgidYpIeX8,1043 +torch/include/ATen/ops/median_native.h,sha256=65xEUKVsZD_TcSPAEROnv72CJb-ZIbEesEm2utUgZrI,1340 +torch/include/ATen/ops/median_ops.h,sha256=zBT7BqRAchc9Ww6N8G10SsmNAa1SukDWepOo3U62-Ok,5020 +torch/include/ATen/ops/meshgrid.h,sha256=utZtMssSucK2UA6ol1ojoKLqJSU-L0SuCFgGSj5ab88,894 +torch/include/ATen/ops/meshgrid_compositeimplicitautograd_dispatch.h,sha256=ZZdjr_0aAYZNtcE6hrK2wFBtY36i7QDkC9xzT4EwUOs,877 +torch/include/ATen/ops/meshgrid_native.h,sha256=Jw_MQuag9MN_Yi6SksDi443CtuPuBPZWtivWh55vda0,600 +torch/include/ATen/ops/meshgrid_ops.h,sha256=qYCmBNIlUabpgJl9MHEfsKdYkQ9fw47ZMUidJFDpOYs,1719 +torch/include/ATen/ops/min.h,sha256=eqa2ya_OtnKmZP0y9XGhLdwwX348SH7FM3ut59Ef_xQ,3784 +torch/include/ATen/ops/min_compositeexplicitautogradnonfunctional_dispatch.h,sha256=yZeiTF6DsejCuRMy90M7JEKF6ALrLVcp2Y1ChwFQyeQ,845 +torch/include/ATen/ops/min_compositeimplicitautograd_dispatch.h,sha256=MidFFlx8c5xpQi5Q7NNr9uG5kRFdwZNIxt7Ih6ukiBc,1428 +torch/include/ATen/ops/min_cpu_dispatch.h,sha256=bwBX5JE-M14njzn3lPfKH0JkPMeeGTKK-KRg-dyMA_o,1294 +torch/include/ATen/ops/min_cuda_dispatch.h,sha256=WquZLCzonaMeDRYUoJcgPkBio_4OTVxYA8tvYyCotV4,1296 +torch/include/ATen/ops/min_meta.h,sha256=A5VVmQvyVD6DPpfMSqCcLEP5Q0KwcEwM_84ibx1KFpk,1088 +torch/include/ATen/ops/min_meta_dispatch.h,sha256=0HbzU5-UhAgkLA2z8SoxdY9Uqfn9hHPCuMTAkPb40Js,1094 +torch/include/ATen/ops/min_native.h,sha256=pMwXMdtfJ3O7DynS8qEGDBWWyWHWbBjgtmkrGvAZh14,1509 +torch/include/ATen/ops/min_ops.h,sha256=mUO06dj96YHhGsZ8iDSw1JEnC6VY3Eqk6kAio8_XdTg,6299 +torch/include/ATen/ops/minimum.h,sha256=_hFyULaGH6RmJn6bFBbRvH7KmfmRpxPHWdBXsZdH6OQ,1166 +torch/include/ATen/ops/minimum_compositeexplicitautogradnonfunctional_dispatch.h,sha256=YViqkkU8aBEPsqtU_CIBn-IDUAhDTq46ZjK-zYOUfaU,817 +torch/include/ATen/ops/minimum_cpu_dispatch.h,sha256=YzBtN9UsGh6bYXNsxasIRHfnXj_vLVVGNEktglm5IG8,958 +torch/include/ATen/ops/minimum_cuda_dispatch.h,sha256=wA2E_-db0grMPAZSH-jE9xFzvjMZmIwqYgOTqNZFtYY,960 +torch/include/ATen/ops/minimum_meta.h,sha256=x3COf4GRN8MDOGAmLNrSTjWTpqnIQgNkpquNqGVPpDY,613 +torch/include/ATen/ops/minimum_meta_dispatch.h,sha256=ON8t_0TuLWdomudwTRnfRJlsj8fmkQE_Cw93feLpaVc,960 +torch/include/ATen/ops/minimum_native.h,sha256=z6hW33YzQSuOFcldm3Y8sq0Anpj6GLxjaf-GGGkRCiw,636 +torch/include/ATen/ops/minimum_ops.h,sha256=lD8cLnHL4tWVKLBZeYvpQObDM5CKT4oEzrJkRH8fe3M,1768 +torch/include/ATen/ops/miopen_batch_norm.h,sha256=TMdXs8Ym2wZToEmDFoizm3XYCmhJ0W3duKrYIxpZTt8,2850 +torch/include/ATen/ops/miopen_batch_norm_backward.h,sha256=gE9y9nkFgLLUb9_IaTt58T9sjkGrf3KA5fjUIdHpQvU,2985 +torch/include/ATen/ops/miopen_batch_norm_backward_compositeexplicitautograd_dispatch.h,sha256=XNeYIIoyQRgbu0GG0VPw9zi-RqFKq2AXnSqw1sL-S1Y,1585 +torch/include/ATen/ops/miopen_batch_norm_backward_cuda_dispatch.h,sha256=jU9lWzx6uDfk4CsNKZQ8ZwB5LKJEDRh1FIqszHcUn-E,1038 +torch/include/ATen/ops/miopen_batch_norm_backward_native.h,sha256=8DGdazU7NM4Y7p3yHuNDlHlZXuG8YUF6HI-bEeuBzEg,1240 +torch/include/ATen/ops/miopen_batch_norm_backward_ops.h,sha256=vmOzfwjwtg_4RNaxQMWH9D3N1vEaq4FTKqe6jAq9hlc,3801 +torch/include/ATen/ops/miopen_batch_norm_compositeexplicitautograd_dispatch.h,sha256=zJHvaQhTUZWJ9IcGohWe93nfDzHpN-FhLh9I1Zj6P20,1505 +torch/include/ATen/ops/miopen_batch_norm_cuda_dispatch.h,sha256=vVSZKaPu5jyYb2VK5dRvjYYApfNHvh9027Omtccu6IU,998 +torch/include/ATen/ops/miopen_batch_norm_native.h,sha256=AUuKLBFUEB1a0Zhg94guORDrBt3aC_Cmy7e1xM83_6A,1160 +torch/include/ATen/ops/miopen_batch_norm_ops.h,sha256=WrMnohqAv8talz71pr0NQaagJr2aSR5OqAIvEn7tryY,3553 +torch/include/ATen/ops/miopen_convolution.h,sha256=Ws7EUk1Q1urODjJWxfpSTyGOjijKPHqVHAQp6PK0LIU,7871 +torch/include/ATen/ops/miopen_convolution_add_relu.h,sha256=uYJDPAWTbdcJTydVcFoUo1K7ZMUaVPfI0e9Sh8pH5lQ,2954 +torch/include/ATen/ops/miopen_convolution_add_relu_cuda_dispatch.h,sha256=I2ReyeIqKFU-Y2lDdJneICPYjVNqVtj87IZ7wNSUIdM,1283 +torch/include/ATen/ops/miopen_convolution_add_relu_native.h,sha256=km5QXGv4HC-wucs-VhU8ECqBWRvUmibOKNhJGtK6aLc,729 +torch/include/ATen/ops/miopen_convolution_add_relu_ops.h,sha256=mLGBgCBGJLpHxkQlhmsVQL-JfZ-kPcSHHkjtdImK-Es,1813 +torch/include/ATen/ops/miopen_convolution_compositeexplicitautograd_dispatch.h,sha256=JOVX-f9FEDycE4k4GDcF-wELjWlhWOOrVKdyXqJ17ZM,1894 +torch/include/ATen/ops/miopen_convolution_cuda_dispatch.h,sha256=zqIx4mA02ScLiEgQRB8nZlfrGGABD54pjLHDR_hdst8,1211 +torch/include/ATen/ops/miopen_convolution_native.h,sha256=Kp-Qrx9dSeVNA4G4-Kl1mvQKZ0OLR1nZhXmsSAqBa6I,1000 +torch/include/ATen/ops/miopen_convolution_ops.h,sha256=PqxSKCwccgXZDt-h_1r77DVcuNR_Qur77h6OPrAQSWs,3056 +torch/include/ATen/ops/miopen_convolution_relu.h,sha256=f6yH3wL9HJFUXXib6rAxqN8eI8ibLcDL49ouQgw_wXg,2568 +torch/include/ATen/ops/miopen_convolution_relu_cuda_dispatch.h,sha256=dSrYgn3bVnjmgRTMox94MKWIG5Gur43ORxE_K-Ud-EA,1149 +torch/include/ATen/ops/miopen_convolution_relu_native.h,sha256=I9bLoP52mZ05mC1YfvWjArN_evxFwEWcqolzzZHzyg8,662 +torch/include/ATen/ops/miopen_convolution_relu_ops.h,sha256=WjRK2aGE445CJNphonZbcS6rc08OjUG7a1v-NS3UCts,1595 +torch/include/ATen/ops/miopen_convolution_transpose.h,sha256=USOZZ20UTpHSrhL008w6OvbaAiuIncKlCxOOCRMqd4Q,9087 +torch/include/ATen/ops/miopen_convolution_transpose_compositeexplicitautograd_dispatch.h,sha256=zcbc5eDxy4EdhuZ6uYIHSU2ogWwFhk7XfyrlQHyAldc,2070 +torch/include/ATen/ops/miopen_convolution_transpose_cuda_dispatch.h,sha256=ypdQsUiHwLAKFwDrM84ROKt69FEFO4hUzJaJ4ygVWys,1299 +torch/include/ATen/ops/miopen_convolution_transpose_native.h,sha256=QULYupL81oCOEBAGUuo_GzBpt3RriJDVvKOCB7lsZys,1088 +torch/include/ATen/ops/miopen_convolution_transpose_ops.h,sha256=wAd_5eYCVJhbBm8aFgCrmi9e5iiv-j_YhFX2RSy1CTQ,3352 +torch/include/ATen/ops/miopen_depthwise_convolution.h,sha256=2QuESPHfOt9WUJShDAL7MgAlgw0F5XQsfdfc1gY2MDM,8181 +torch/include/ATen/ops/miopen_depthwise_convolution_compositeexplicitautograd_dispatch.h,sha256=j7IS6iMTgqYbabcc67_MvmPedCHdWvCqgHgvPpD1hc8,1934 +torch/include/ATen/ops/miopen_depthwise_convolution_cuda_dispatch.h,sha256=veucVIcgIFC2lxJaOrAB2hpS_9vzHqIA_EqZSEUp5oE,1231 +torch/include/ATen/ops/miopen_depthwise_convolution_native.h,sha256=FTieA_SBN2sWgKB4Dly33orWX982op6GuGA8EfagWQ4,1020 +torch/include/ATen/ops/miopen_depthwise_convolution_ops.h,sha256=4ZAOaNU2m2cXz_Veh1-DtVLRB4_7vlJOibKf8w3_RJQ,3116 +torch/include/ATen/ops/miopen_rnn.h,sha256=50y47SuuXpC_tlJDwfavwcCHkDKDAh0j7xlZBcWiDtE,3686 +torch/include/ATen/ops/miopen_rnn_backward.h,sha256=2cl4qGRaVDR5dFAQR_0dK2p_dBD3IosK1E64k5yqWWg,4790 +torch/include/ATen/ops/miopen_rnn_backward_compositeexplicitautograd_dispatch.h,sha256=ea4BA7pMGMhgigTeo1V7iVzMM6r--9U_-w03SMJNt0M,2119 +torch/include/ATen/ops/miopen_rnn_backward_cuda_dispatch.h,sha256=vDTxavz4mjb8DPevZTN0Z3qevNtlwlw2OuuLY9c6_cg,1358 +torch/include/ATen/ops/miopen_rnn_backward_native.h,sha256=8sIgyqunsHB7LY9eJXrS9eLgz2x1YyqGEbGXu82oxE8,1827 +torch/include/ATen/ops/miopen_rnn_backward_ops.h,sha256=qd_1PMCXA5t7Wz7JT4Qgppxx7nGcDQ_g9K9RdMNtSdE,5730 +torch/include/ATen/ops/miopen_rnn_compositeexplicitautograd_dispatch.h,sha256=PvC9AgeDS4CTrwPUt9G2fUebELVxoyInMJb_aQASUyA,1777 +torch/include/ATen/ops/miopen_rnn_cuda_dispatch.h,sha256=rN0F6uixrAHwH05f4u-7n0OHqQQmDAfy-xRPc2rGlzs,1092 +torch/include/ATen/ops/miopen_rnn_native.h,sha256=MMmiKvuAyGWsNjFfKFpJDaQZdFAJxK_6qB0muS14ygo,1390 +torch/include/ATen/ops/miopen_rnn_ops.h,sha256=zBKZ4d4Ufn0DgBWCIBjSQAhSj3njqqU3tzu4_SKafj0,4373 +torch/include/ATen/ops/mish.h,sha256=pJ2rlCbKVVF8KcYESqjjgduvYLoMq4EXxcIjIt1RMYs,1131 +torch/include/ATen/ops/mish_backward.h,sha256=GOejsGHxrNTmZBbow1LEDXZWsJkUgdk_6-JVxyRl4iE,718 +torch/include/ATen/ops/mish_backward_compositeimplicitautograd_dispatch.h,sha256=sjaTqkPtn8DYRK9BKg9UdQ-Pu9GTC0NgTu0uVNeGBnA,803 +torch/include/ATen/ops/mish_backward_cpu_dispatch.h,sha256=bVODwoS__2M4DEA_Z5QYO7Jdt2SVPfeb3Xfcv1eA5Mc,759 +torch/include/ATen/ops/mish_backward_cuda_dispatch.h,sha256=Uo5MdmBtQwvTo5hwt7vR75_8sb45kGSDq1zwlu8Bchg,761 +torch/include/ATen/ops/mish_backward_native.h,sha256=rKv2-vjjj15ugGt7Dog6WiglUi5yxxYXITfZKPgWrn8,624 +torch/include/ATen/ops/mish_backward_ops.h,sha256=CiaJGTnakc88W9OcdMhQt1CSCPmzcq7_Q3yn_vUDy9A,1092 +torch/include/ATen/ops/mish_compositeexplicitautogradnonfunctional_dispatch.h,sha256=-ibYHDLqaY7uQmXRTpdWzBAAxQrERiQrEcAjj9nF2RQ,837 +torch/include/ATen/ops/mish_cpu_dispatch.h,sha256=7BfOMpIf3X27mStmRGBSwHo2RA2XvgeaDWlXbq9pM18,920 +torch/include/ATen/ops/mish_cuda_dispatch.h,sha256=69PawBuyzCIlcHgrkYXJ8MJy9u2tX34s-2t4L2GrKqg,922 +torch/include/ATen/ops/mish_meta.h,sha256=MSZwIP6rYZETuqK4ce-1DdJn-0utVO0WDfAhvX9gAKA,584 +torch/include/ATen/ops/mish_meta_dispatch.h,sha256=rRObNDUNIDNKE-iNn6tbPuUQfKlnY6AzeawySBqpyM0,922 +torch/include/ATen/ops/mish_native.h,sha256=ekPdX1wp6YLUhDbl4VB8g3-gV_0KNS9njx-bcvcNq2Y,601 +torch/include/ATen/ops/mish_ops.h,sha256=SJxR-qNzaH9nyJcPk91k4BoEwm1hZvHvpfUR636guUg,2104 +torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d.h,sha256=mu624J2wxzSKEtWwNHlV2_987wAI8zJZCH3JugNOWjk,1401 +torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward.h,sha256=1-XULF-QU4PvMNPZtpkL6CZIm_3TV5OBbd18ok6n1fo,1500 +torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward_compositeexplicitautograd_dispatch.h,sha256=5IQtgzY_LduH3bknIOPNrIMWisl0hzHNYMmEqbl0Ez8,989 +torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward_native.h,sha256=NwNzCfBHCR_N7DSwO1cxEUuJ1FFLf1-HWShPW42eJTM,687 +torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_backward_ops.h,sha256=BbTbGgk3Cnjx6Ag1Cj2ei9qYrQjB-Gc4cELpv598afA,1972 +torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_native.h,sha256=mN-A78rhPo7kGmXcasDF0Xnrzu4gZuYEpr7cDVqpLHY,663 +torch/include/ATen/ops/mkldnn_adaptive_avg_pool2d_ops.h,sha256=LhPVQSJ_EE5Fq4T0I5uMdArBLw6z3XvUaWo4ECYN-Ss,1900 +torch/include/ATen/ops/mkldnn_convolution.h,sha256=UzUngl8n-pKFHWU5AGqmmgpWnGrH5SDQkM6reChEsVI,6911 +torch/include/ATen/ops/mkldnn_convolution_compositeexplicitautograd_dispatch.h,sha256=NECZKW6CmsvsiTR6OCnafLRY8uaOcqWz9Ok0--_f6wg,2221 +torch/include/ATen/ops/mkldnn_convolution_native.h,sha256=QKDbZI3Ftuu_YfWTX8eCib7jSBphGSCfCOj996GkwOc,928 +torch/include/ATen/ops/mkldnn_convolution_ops.h,sha256=o6uNoj_LuB1U1FjA36BD601GWKXX5myG8EXqJ9czbtY,2816 +torch/include/ATen/ops/mkldnn_linear.h,sha256=YDcNXIokkdpDMhGHA67o2ZddYwfWX3zuE4tCrkBNTEQ,1436 +torch/include/ATen/ops/mkldnn_linear_backward.h,sha256=xKg-xgltJ82VXxx0lK2H7sYSds4GU5VFr0WuSzxgl3Y,2084 +torch/include/ATen/ops/mkldnn_linear_backward_compositeexplicitautograd_dispatch.h,sha256=HshatuKdCbXJUkH0Damx9mGbmpzm8aYW3k3CoUYFlfM,1243 +torch/include/ATen/ops/mkldnn_linear_backward_input.h,sha256=imFKDSUiYxg3pYNoZxeOfzIqdCpddYqfJTqUAl5aTRA,1622 +torch/include/ATen/ops/mkldnn_linear_backward_input_compositeexplicitautograd_dispatch.h,sha256=ainUrq6BsTfIX39oQ8UGaPZlfWaK48biV7tPwkaShrU,1035 +torch/include/ATen/ops/mkldnn_linear_backward_input_native.h,sha256=AtUXqZGx4PpbwnOw-qVF_WcbxDAI1Xk-6d9cld20XZU,733 +torch/include/ATen/ops/mkldnn_linear_backward_input_ops.h,sha256=3ifjr6daMbmx8EY3bP5H1mt8Hqbi_lRYSRveAogT9VQ,2124 +torch/include/ATen/ops/mkldnn_linear_backward_native.h,sha256=flSGfpgRinw5iJnt5iVAOu1VsUjS-9a3nAWzPRty0VU,898 +torch/include/ATen/ops/mkldnn_linear_backward_ops.h,sha256=4Ld0BUmPNHbhaq2xV6UjrNHLHs1hcWFR4Tct49nT390,2707 +torch/include/ATen/ops/mkldnn_linear_backward_weights.h,sha256=uu42o9QHi_cuRty544UTYVlFunnVF66HQH5V9KWD2ng,1972 +torch/include/ATen/ops/mkldnn_linear_backward_weights_compositeexplicitautograd_dispatch.h,sha256=QM2v61b9EY6_DmLygIrYv-_Z1TA3vtUND8tGSSPNX7g,1167 +torch/include/ATen/ops/mkldnn_linear_backward_weights_native.h,sha256=Rq8cX1D3pDeil5k7zU5ODvKVzGGSIEnPBuYkGFeHtM0,843 +torch/include/ATen/ops/mkldnn_linear_backward_weights_ops.h,sha256=c8pLIlW5bY3erY2oJGyDHKGQca6bzIAlnc2i_aem_Ms,2504 +torch/include/ATen/ops/mkldnn_linear_compositeexplicitautograd_dispatch.h,sha256=nOY1pHiLOA0RitW6-6sto83MmkgLLwNear4el_OQyO0,1018 +torch/include/ATen/ops/mkldnn_linear_native.h,sha256=HBiGpmBFWpBOVXWkDogJ7odhSiFaO-T23Tjz-Iso0SA,716 +torch/include/ATen/ops/mkldnn_linear_ops.h,sha256=XPZdaaLRL61pPxKpXpxLg_NB2S_vThQNRsJLNmOK8j4,2078 +torch/include/ATen/ops/mkldnn_max_pool2d.h,sha256=Y3o1tIJQ4cROR7Hr7nP9Uyp0aCkOvgSQd9AkYHD2rw0,1955 +torch/include/ATen/ops/mkldnn_max_pool2d_backward.h,sha256=QRdYJmSeYTzxhsFHDkZZJzGjklwwl-LmdYhXPph5aRQ,2399 +torch/include/ATen/ops/mkldnn_max_pool2d_backward_compositeexplicitautograd_dispatch.h,sha256=W-GHd_uDPgGgJb61UDO_Nuqhz3Lb7r6bZW3FB1nin5k,1280 +torch/include/ATen/ops/mkldnn_max_pool2d_backward_native.h,sha256=yIpwHUmFOj5M9AOjm_m8RRH51v5MaXjEs4cfMieBEVc,978 +torch/include/ATen/ops/mkldnn_max_pool2d_backward_ops.h,sha256=ftIlILpJzN8Fiy0iY7LcB_Zqt8zsujm8vaAaviKpyB4,2924 +torch/include/ATen/ops/mkldnn_max_pool2d_compositeexplicitautograd_dispatch.h,sha256=x-gDfK5YQ3KscofGu6LGMvKk14n3qVtujJBva6zMxtA,1142 +torch/include/ATen/ops/mkldnn_max_pool2d_native.h,sha256=69s_rIcXYc5A5xZlHTJdg9IxmB-xL3MGb10BVz1CMOA,840 +torch/include/ATen/ops/mkldnn_max_pool2d_ops.h,sha256=X1Lwu3roEeGxWERJkzZ-0QiIxW0CCaEIv0qdx1nkqcU,2478 +torch/include/ATen/ops/mkldnn_max_pool3d.h,sha256=lsQi8ygfFJsz9ob2A8KJf8rpcNjkK47qWp_60nMYNkE,1955 +torch/include/ATen/ops/mkldnn_max_pool3d_backward.h,sha256=gEEHsg68L9ZPCU8ifrnxz6EDPORP9miaMW9uNYLYRpI,2399 +torch/include/ATen/ops/mkldnn_max_pool3d_backward_compositeexplicitautograd_dispatch.h,sha256=NOEZKZcef2UHL6jClsc_pGcwyO2riRVc85F2CRRvwmM,1280 +torch/include/ATen/ops/mkldnn_max_pool3d_backward_native.h,sha256=h5xlPnYh0LHpGCwJrAavkg72cE4JJJILx8CStg8thqk,978 +torch/include/ATen/ops/mkldnn_max_pool3d_backward_ops.h,sha256=-lDEFPmslwX3RswE3c6kGkIbvzYac0fLY-ywsH9Jkn0,2924 +torch/include/ATen/ops/mkldnn_max_pool3d_compositeexplicitautograd_dispatch.h,sha256=vIDea-OnUwC_IdUQMpnlBLJn-rILWfhT3pD8ObMkaQw,1142 +torch/include/ATen/ops/mkldnn_max_pool3d_native.h,sha256=IKEmEQ9J9zA0jeAdHq_ZwVhRGqUs-lwjCQCJHGDeH5I,840 +torch/include/ATen/ops/mkldnn_max_pool3d_ops.h,sha256=LojQwe1_TkuAaBMLYhD9aPYYl9n6-i8UAVrLKHmhjTo,2478 +torch/include/ATen/ops/mkldnn_reorder_conv2d_weight.h,sha256=UpWHAGwKXDjkoQPPJgHF43oA865QjV4_OCx4o4X1UCk,7743 +torch/include/ATen/ops/mkldnn_reorder_conv2d_weight_compositeexplicitautograd_dispatch.h,sha256=by5HQWMDcVFj76i15b54uUG6cmCpOYayyP-GxhD0_NY,1753 +torch/include/ATen/ops/mkldnn_reorder_conv2d_weight_native.h,sha256=BIwIUwRZwNB0L86o_L0aaZ7FkARwODqer9z2Kk2zPos,910 +torch/include/ATen/ops/mkldnn_reorder_conv2d_weight_ops.h,sha256=kA3pqTcN2W_V4I5n4TeSdmSdmWTgP5FAEnzxtsf3ecY,2728 +torch/include/ATen/ops/mkldnn_reorder_conv3d_weight.h,sha256=hDQcsDafngXh_STmQLAZsUzUqk3qI15-5yITKp9iQ7I,6361 +torch/include/ATen/ops/mkldnn_reorder_conv3d_weight_compositeexplicitautograd_dispatch.h,sha256=3VTKEkUOaMskHCsVvxIwtXBoud78O_xoM3YIEC1THJU,1577 +torch/include/ATen/ops/mkldnn_reorder_conv3d_weight_native.h,sha256=dsljc9-09PPK2XpHPxc4qa7lS3HkJfVMr5fROI21DhI,822 +torch/include/ATen/ops/mkldnn_reorder_conv3d_weight_ops.h,sha256=7VoT6Jxmv8rZ0vskeSg8fhSjJk9wDDEMOs8fcchOF6w,2462 +torch/include/ATen/ops/mkldnn_rnn_layer.h,sha256=OpEz2OSwCi0Vv_kLedfTyhd2GQfrCmIcLC4WQTZBvNM,3743 +torch/include/ATen/ops/mkldnn_rnn_layer_backward.h,sha256=9wPF87WaVzj0sUkZ7Uzl-sjxr14V6C4PXe_2X6l8zAQ,5549 +torch/include/ATen/ops/mkldnn_rnn_layer_backward_compositeexplicitautograd_dispatch.h,sha256=RocIHQXfuopN-ggc58KZsLoNBCrhYlMBiK-LcJvK0ZA,2453 +torch/include/ATen/ops/mkldnn_rnn_layer_backward_cpu_dispatch.h,sha256=Ahuzh_L1IL2qhiVhrUhtYmppMF0-Dr_UheXCptzm_ws,1386 +torch/include/ATen/ops/mkldnn_rnn_layer_backward_native.h,sha256=CfPa73NVBHn3VRa9w0Sqowe4gBh4Enc6Z8Ccb9U_h3Y,2024 +torch/include/ATen/ops/mkldnn_rnn_layer_backward_ops.h,sha256=YodL0f_EKyuBs_pMg_DLaSFDXjwxclnbwJ47rcgI2yA,6481 +torch/include/ATen/ops/mkldnn_rnn_layer_compositeexplicitautograd_dispatch.h,sha256=9hMvweCvF-PAgR_aQ75FP-yAhd6xz7llMQZBjpGBkUg,1761 +torch/include/ATen/ops/mkldnn_rnn_layer_cpu_dispatch.h,sha256=EcOtf3uG9B90tGTX9B2nlGegs2YcfWx6XOYcuOaaHfg,1103 +torch/include/ATen/ops/mkldnn_rnn_layer_native.h,sha256=wRDaoz2K6tZYNGLuYZFMYNL1j-YbuQ6Z_JrDo-qCWLc,1395 +torch/include/ATen/ops/mkldnn_rnn_layer_ops.h,sha256=jr5Hb6gxc_UWwoYzEwWY8miUZ3PqImbq1euvHz7R3QQ,4380 +torch/include/ATen/ops/mm.h,sha256=dtqQN5DohyiSlZ_7bLjEsyEYFljlNPULsjGVNzTedKs,1107 +torch/include/ATen/ops/mm_compositeexplicitautogradnonfunctional_dispatch.h,sha256=ReNeYLeW2Oo6wzkTDXZ4WYv2FThtaA1Lh1D3--tv8DY,811 +torch/include/ATen/ops/mm_cpu_dispatch.h,sha256=5PdBe8AGnCEzTroRbrpiF7CZ-W8_9SA9Y-0XcQaCA2E,940 +torch/include/ATen/ops/mm_cuda_dispatch.h,sha256=X4dZ27WGvRRncGVUsFNOB6GPpXRRZG6BCm_ZCtZtJmM,942 +torch/include/ATen/ops/mm_meta.h,sha256=EZEPRUjaIpYSSM8Lj41LridwOeOMwXRIftpO86zWRO8,607 +torch/include/ATen/ops/mm_meta_dispatch.h,sha256=jYXxC7gP-lJ6pE0E6clafVELaW7DDAbWShDhX_l7hsk,942 +torch/include/ATen/ops/mm_native.h,sha256=BjipXeM5i508nMKsc0VVa-t9LJRuvu02ezRn-I52QvY,1175 +torch/include/ATen/ops/mm_ops.h,sha256=srs1mZNgRBHVV9cmYIvAfozeGYYKORZyhF6-T_ZJPnU,1732 +torch/include/ATen/ops/mode.h,sha256=F6fMnjrlVbpP6aYSG7H7QSq11-PrMGZq8getp544rgA,2609 +torch/include/ATen/ops/mode_compositeexplicitautograd_dispatch.h,sha256=yVjw9RBIyefmqmqCh4IwYpVi-ZDfiWk1VhlndK54bm8,1030 +torch/include/ATen/ops/mode_compositeimplicitautograd_dispatch.h,sha256=2cjpJiDxzaczkC3bcy-FxnFkC-rp__vLee7UyN4BAY0,1149 +torch/include/ATen/ops/mode_cpu_dispatch.h,sha256=LXChVP5tLSI6szhpdOuxZ0SkCf9o2Hvu-brMglWFvIA,779 +torch/include/ATen/ops/mode_cuda_dispatch.h,sha256=kVBHurRgXiDpsiIHkEE3vzPMd1dTBH3YJgw2pqCHPsE,781 +torch/include/ATen/ops/mode_native.h,sha256=ILNWCfu6axPcl2Ve9HVsIatkUvL2kt4Yma2DeI3bsYg,974 +torch/include/ATen/ops/mode_ops.h,sha256=LKWYW2ElfwHMAUuNppEqYi9Jqx9Xrc2wsI89WT3-LYU,3802 +torch/include/ATen/ops/moveaxis.h,sha256=UAoobVr2Jmrv12t9S9ZLAUMPGBgQ7vvmbiy_fgDfDzY,1004 +torch/include/ATen/ops/moveaxis_compositeimplicitautograd_dispatch.h,sha256=63FIf4CY-v2SiJFepjN4hutOjXSIXSkyinG5xgS37U8,912 +torch/include/ATen/ops/moveaxis_native.h,sha256=BJBzdfqEVA_FsY1U5ophzzZj3Ynrf5otyiSR3XOhrD4,635 +torch/include/ATen/ops/moveaxis_ops.h,sha256=SRVhVvlvH5GkF5cM8-OCCUS0xNTses5yaTjb6XxgRGk,1852 +torch/include/ATen/ops/movedim.h,sha256=rlrmgxeyTe_Gq1xVHKNjyi_9N3DhcdfrVkyG5-7sd68,997 +torch/include/ATen/ops/movedim_compositeimplicitautograd_dispatch.h,sha256=wB-0aaLseyYN1YOEQCyKxxsx2pJJ1UbPqDm2Jcb4z08,910 +torch/include/ATen/ops/movedim_native.h,sha256=dVtebM6BClrYn3ByyE9jf7c5YidxUIg_b_cyPOX7rrY,633 +torch/include/ATen/ops/movedim_ops.h,sha256=O5BpI4KFlJfMsU0Cjxw49pE5Qv9dZGXRXaXMQwSe_uI,1846 +torch/include/ATen/ops/mps_convolution_backward.h,sha256=Lq1M2tAj0MNi-WAVdCLFDzZZbhUb5AkNDh08y4Ou_hU,8971 +torch/include/ATen/ops/mps_convolution_backward_compositeexplicitautograd_dispatch.h,sha256=Ll7yey86REXlxLuN7b7LmdCESa3p4zstiVMjtCQoNPs,2194 +torch/include/ATen/ops/mps_convolution_backward_native.h,sha256=5GJiEmgnREVo3CaHn1RL7fXrIcpQYX_G-hoFy68bJ2w,815 +torch/include/ATen/ops/mps_convolution_backward_ops.h,sha256=H4EUHaQCFcZGP7fwOsOL0vXP19-3YIgTcaGU4ywIxIk,3437 +torch/include/ATen/ops/mps_convolution_transpose_backward.h,sha256=VdM_cs6qVk6Nto9I5u_7A5XW4TKqZrTuQ7-X-fpgb6k,9707 +torch/include/ATen/ops/mps_convolution_transpose_backward_compositeexplicitautograd_dispatch.h,sha256=6kAymuyRJtQ6yai2CYT_r2udh2LSas9MTt0d_5WrhyU,2242 +torch/include/ATen/ops/mps_convolution_transpose_backward_native.h,sha256=_U7bC_WDQ-WXr2UluDMYMTxyKAERD0pMpEH66kmYee4,829 +torch/include/ATen/ops/mps_convolution_transpose_backward_ops.h,sha256=XS9wqMIg3yA-784TKbZfoRYIV9uLSNxcsDLd1w13XeA,3572 +torch/include/ATen/ops/mse_loss.h,sha256=ggdcRaW8isPUHWRg7FHEmlES9xHlfxIECxn9w12pQP0,1375 +torch/include/ATen/ops/mse_loss_backward.h,sha256=_umnffHaKP_8NL8vLL_yowkdxtEIBCUawWFXwK1gcFE,1675 +torch/include/ATen/ops/mse_loss_backward_cpu_dispatch.h,sha256=prsBkiByBVplwQwpPL6rcwkuHJQHzFumxoqWe86wMc0,1158 +torch/include/ATen/ops/mse_loss_backward_cuda_dispatch.h,sha256=k260nCwJOwDhqtC2PHfTluBlqWSBKxqaZlKYZJgGi60,1160 +torch/include/ATen/ops/mse_loss_backward_native.h,sha256=frKMQ3EP-w6e6ZyKLig13rpfX15_By9Ey984GCYDfIA,750 +torch/include/ATen/ops/mse_loss_backward_ops.h,sha256=SlQZDPEX5VzryZk49GGx0iUXtdmwirk4PmaHUoARWBg,2208 +torch/include/ATen/ops/mse_loss_compositeexplicitautogradnonfunctional_dispatch.h,sha256=wzoVe5Ba0jGdHzrYtqkpLp8aK3DJDDJqAKMtmzPLsAQ,858 +torch/include/ATen/ops/mse_loss_cpu_dispatch.h,sha256=6ZVxCEppchCoCnWGbfhNpNQwIKv8_WEDpyJCCC3fo04,1061 +torch/include/ATen/ops/mse_loss_cuda_dispatch.h,sha256=ZP4HTD0MG8FfGl5OWy4IvOHhrMqswu_wusCfAr46I0M,1063 +torch/include/ATen/ops/mse_loss_meta.h,sha256=35ABDesnff7x6OWUQCoGTEzOa1GeQY_sKjH1H7D0t00,634 +torch/include/ATen/ops/mse_loss_meta_dispatch.h,sha256=wH6I1oRvOpI6RSnxkIYkyHoJ_yKFXX6x0KkFS-xjm2w,1063 +torch/include/ATen/ops/mse_loss_native.h,sha256=wrYXz-paj7J4OVqGR_Ymhu9BYT-im-XTsY-Vg4n7yVw,659 +torch/include/ATen/ops/mse_loss_ops.h,sha256=fQdczsZdhJvPgw1dAQ5lfKr3md9A8x9oMNqFWBM_Dqo,1914 +torch/include/ATen/ops/msort.h,sha256=ctwivNWgQRqeT_SEzHjTWOCs4CQQYrsJTtSL-xHmS-I,1005 +torch/include/ATen/ops/msort_compositeimplicitautograd_dispatch.h,sha256=9Az46MGiuCu0enLjDsr61JyiCbNcoXskzCDxdmUzFPQ,918 +torch/include/ATen/ops/msort_native.h,sha256=o8skUvp37Uw2hvJSo6D7Q_R-Q4HSxjfZp9PqOZa_dqo,563 +torch/include/ATen/ops/msort_ops.h,sha256=wOoWbvh4-M_Q_Gy08oyCwaHat7q5m2kEC3WsvaEtc9Q,1584 +torch/include/ATen/ops/mul.h,sha256=cwHnxU_gSl894P59hT34QmA6UzgQD3qXF9yhgDnzgaM,1821 +torch/include/ATen/ops/mul_compositeexplicitautograd_dispatch.h,sha256=jEUDiEx5YLIIzB2n7F1C1JR2DKu7kyBX5uWh544STWE,1064 +torch/include/ATen/ops/mul_compositeexplicitautogradnonfunctional_dispatch.h,sha256=4Cxk7Qbusyzq3Hj-wvG6lPHkKlk3JaLhvl-wUboT-6Q,887 +torch/include/ATen/ops/mul_cpu_dispatch.h,sha256=PubA9Dmbd9biBychi74OR_taVAhP4Q3D4ZDxDunh6rM,1020 +torch/include/ATen/ops/mul_cuda_dispatch.h,sha256=pT_BMvqChXy5ih3nf4V4aCxMoanv2ZYdM6maN7r329I,1022 +torch/include/ATen/ops/mul_meta.h,sha256=lOel4A0LHABbK1NM0eNI89WGlQqYh_JlIciWGkPDe8g,616 +torch/include/ATen/ops/mul_meta_dispatch.h,sha256=uCHg0P3BoO1Mf07_NsrUU6c4DNnPnqubU3drOWzbFmA,1022 +torch/include/ATen/ops/mul_native.h,sha256=wEDxiQF1Syyf-OCelwXtI38X5C6y801QhLyTXhmNnKA,2495 +torch/include/ATen/ops/mul_ops.h,sha256=e8IgaZ1oeV65OcMsll93oPzMVupN_SvADoWy-BjUYFw,4373 +torch/include/ATen/ops/multi_margin_loss.h,sha256=OqO3ToKp3nTUeTPPq7DGdJVqjcpGj1V6fCwJFaL-PJs,1959 +torch/include/ATen/ops/multi_margin_loss_backward.h,sha256=byw78N9xeqR15XoxkZWYSTu6mVGGwir9QPi5To745pE,2294 +torch/include/ATen/ops/multi_margin_loss_backward_cpu_dispatch.h,sha256=pVw8eEmvvt-G6JJEUxBc7SPWPbkCuvxVUHn0S-PBFsc,1504 +torch/include/ATen/ops/multi_margin_loss_backward_cuda_dispatch.h,sha256=xcSde64-6BvWwik4B-L4H9SF-eMT8jtrAkSCdGqXGmE,1506 +torch/include/ATen/ops/multi_margin_loss_backward_native.h,sha256=J_YtPV9D18qiYlCwteBGr8d8E0ZBuJ1HzNmPwcSzrOo,1531 +torch/include/ATen/ops/multi_margin_loss_backward_ops.h,sha256=_RjtWNBJ8s5qu3UPm4ajR8hCNdn4gY6Y1Yv13MvVx7E,2878 +torch/include/ATen/ops/multi_margin_loss_cpu_dispatch.h,sha256=JxNx2CntfkAKN2u6jJ4qlWodwuqDg0-ilndfiNVlb70,1375 +torch/include/ATen/ops/multi_margin_loss_cuda_dispatch.h,sha256=HTn_uTCItLlmRkKq6wk6nyVZRbH6UNVaxs8vc05NQvc,1377 +torch/include/ATen/ops/multi_margin_loss_native.h,sha256=URuKEBT84GS39bH-mHO5_6xRebZmrNd3zcOq_k_Efxo,1361 +torch/include/ATen/ops/multi_margin_loss_ops.h,sha256=4JWCier-z9R1fVwFETYGnfywrMl3gryDUjzNnw_1LHg,2582 +torch/include/ATen/ops/multilabel_margin_loss.h,sha256=LAWNSk4WqAs-hysOCYA0eSgoRYWJprwsIeFJOpVSvDU,1515 +torch/include/ATen/ops/multilabel_margin_loss_backward.h,sha256=kWwMxN9NnqG5P4SzvnW511EhWqOPC7Ll19FJiPHh350,1992 +torch/include/ATen/ops/multilabel_margin_loss_backward_cpu_dispatch.h,sha256=tHGtNMwj4_hMZc0iYfI7pKc4V6v-lC6d-0PYQFpDDZ0,1290 +torch/include/ATen/ops/multilabel_margin_loss_backward_cuda_dispatch.h,sha256=ztcKAbtClLZTFmf40Wi17o-_h9tf_QBy4YqAZwMMJXQ,1292 +torch/include/ATen/ops/multilabel_margin_loss_backward_native.h,sha256=A2Bqw2ZPGfwkcvLmM_2612bW8bTiQU8hwSNGkv-R3FU,1261 +torch/include/ATen/ops/multilabel_margin_loss_backward_ops.h,sha256=B4zb_qlzKgCZ0kCSn_0fH6D9JeQoDO51M12VAOPLJ1w,2488 +torch/include/ATen/ops/multilabel_margin_loss_compositeimplicitautograd_dispatch.h,sha256=78u8wCES5KDdQni7yL6CIWml732XLYsgeNZg2IMJSKE,1147 +torch/include/ATen/ops/multilabel_margin_loss_forward.h,sha256=AajW7gxw-SB7pSSVoL13_BN4-sHznrHGWDSexUYFDi0,1818 +torch/include/ATen/ops/multilabel_margin_loss_forward_cpu_dispatch.h,sha256=IpM-D4rJyMjV8vt8vfaBPyFlimLBp2m15_nPOkyZXnQ,1220 +torch/include/ATen/ops/multilabel_margin_loss_forward_cuda_dispatch.h,sha256=bkrgCtg7hYcRFM2agOfQYADEZhNcLVHNTPfGsakARDs,1222 +torch/include/ATen/ops/multilabel_margin_loss_forward_native.h,sha256=oewx9-CKnSRAf3KSfYVZlXIqTnY9sOAFXiW_itpFUQw,1153 +torch/include/ATen/ops/multilabel_margin_loss_forward_ops.h,sha256=WVwNb5emXeoLlciYv3_PO4FQScE0urrR1kzaDUrT3pc,2335 +torch/include/ATen/ops/multilabel_margin_loss_native.h,sha256=0OcZo2A3kejPNZBOMs2eFcPSH6ry3s13HK6wkS-a2iU,709 +torch/include/ATen/ops/multilabel_margin_loss_ops.h,sha256=MOgt5N9h_Ee1r6fJ2Sg0jDdDxDdWkXsktGXcdHdcRXo,1998 +torch/include/ATen/ops/multinomial.h,sha256=PT97sFjP7wTT7AODFnXqRlMb3yMji2rBwJS6X7OQZ3I,1658 +torch/include/ATen/ops/multinomial_cpu_dispatch.h,sha256=TAocyrktqBR3WH8DhOTLWrHxDbGByN8x2DVoQINkCG0,1167 +torch/include/ATen/ops/multinomial_cuda_dispatch.h,sha256=Usk0SVh0CUhIOy91eV2bX_b6QwzIr93Buy_eqSIUm4A,1169 +torch/include/ATen/ops/multinomial_native.h,sha256=dwht6uP6BdHTjTI3tRIFHDu18ergfeCO4d1ocx3Uzyo,752 +torch/include/ATen/ops/multinomial_ops.h,sha256=ER1xFTXqd2xYlAYj1ex_TohdfvE91RHpvmu-Tnh_4sQ,2165 +torch/include/ATen/ops/multiply.h,sha256=7z0Rwwl0snxCHGRlsGl56XPWw-zUFFZVJJckw4NbhBo,1392 +torch/include/ATen/ops/multiply_compositeimplicitautograd_dispatch.h,sha256=JVc8j_zycpTTwTEds50BsZk3ARMCKnO18xq-tEkdv54,1245 +torch/include/ATen/ops/multiply_native.h,sha256=Jy0v6CP2CWc_yw3FvBFjcVgmUeBZxnVOSwElNkluCco,861 +torch/include/ATen/ops/multiply_ops.h,sha256=VPBhsE70bMMKo0rDVs3M5V4vW_B3PI7DA5AKUnVOm8Q,3727 +torch/include/ATen/ops/mv.h,sha256=qY-shBP8be_1fv7fWjKYvWEA8My3I02NMRqhShDp_ZU,1098 +torch/include/ATen/ops/mv_compositeexplicitautograd_dispatch.h,sha256=lZCLFGCvxrwdhMImb-9WFpCfholt8zwix1JHc7p0zpM,981 +torch/include/ATen/ops/mv_native.h,sha256=BXjKKrFYWen2CZ7gLmCC5QnyZZ2gzorRfclNCx3Es8U,686 +torch/include/ATen/ops/mv_ops.h,sha256=hQx3m0t08zLcaCbrEk6oUYpsVY-r0-G1gxwd9rR5244,1726 +torch/include/ATen/ops/mvlgamma.h,sha256=mcdTJczeNihO9hrTRVyDqvLVKUlk9XbcujYb7zpa_jg,1098 +torch/include/ATen/ops/mvlgamma_compositeexplicitautograd_dispatch.h,sha256=JfMNo-T0tAdZIlt_AK8532RSvdJJGCepN6YkG2d0x5M,841 +torch/include/ATen/ops/mvlgamma_cpu_dispatch.h,sha256=U5q_MQLMvwJRvK2Ri2oEtfv4kN_ov_y97lZJpsnzeGM,849 +torch/include/ATen/ops/mvlgamma_cuda_dispatch.h,sha256=WYb2MIECUwJWCGovItVl7YXftKqjv9t6dJO0_FlVO50,851 +torch/include/ATen/ops/mvlgamma_native.h,sha256=Q3DSO_4cNNjAvAwC_wQlEPss45PVHrrp51qXdoHZljc,655 +torch/include/ATen/ops/mvlgamma_ops.h,sha256=LWS38cGI49Sl2FninwLjUXay-LOuN9RzZU25DJMWS60,2254 +torch/include/ATen/ops/nan_to_num.h,sha256=SMnUI17iz_9uHBPm2xJLSROFgvTkLN9ZjizrsUL6PsE,1986 +torch/include/ATen/ops/nan_to_num_compositeexplicitautograd_dispatch.h,sha256=gle_jj3XASMBNyyBlkGKKxynORtsUs4D5G4etBlo0yg,1075 +torch/include/ATen/ops/nan_to_num_cpu_dispatch.h,sha256=G8DW57gaPqtm53EUw1TFvtCL0mp4RiaOrrw7ylU8nyA,1044 +torch/include/ATen/ops/nan_to_num_cuda_dispatch.h,sha256=GqoyFYJVJVA1cI87rB6vgWCZHg4740gs8GK7hZhAM3g,1046 +torch/include/ATen/ops/nan_to_num_native.h,sha256=-dSQce25fCtd9LIE6e0lczTdIK6XZscKMo_6a3Q_BJ0,1522 +torch/include/ATen/ops/nan_to_num_ops.h,sha256=mFPPeWxS3yq5s1tBVAUonnHnut3v4bF3ZT94phLPTPA,3058 +torch/include/ATen/ops/nanmean.h,sha256=BaLfTKxKgiTK7s9KdA7JlxUwi1Ngb-UbHGZsWL5wlLM,1581 +torch/include/ATen/ops/nanmean_compositeimplicitautograd_dispatch.h,sha256=lemaiKvzGm4JBw10s6e-3WwBPvtyi_ZFRf63ib-jU8M,1228 +torch/include/ATen/ops/nanmean_native.h,sha256=wuYRSHvvTuG-83Q41ttZsr3YkKhq6zOg_wqK78Pl2xs,759 +torch/include/ATen/ops/nanmean_ops.h,sha256=NUc2zwbFF80j746mrLSj0567Qh9p5Uk31wyYTOBEM_0,2167 +torch/include/ATen/ops/nanmedian.h,sha256=pBULn7XN4074CUVV6dxjJ6XAKPaPCqirhWAffRoYV88,3289 +torch/include/ATen/ops/nanmedian_compositeexplicitautograd_dispatch.h,sha256=iIxLfSVV3FxrCFhK7FTSjyloybUN700orv8HItOEahE,988 +torch/include/ATen/ops/nanmedian_compositeimplicitautograd_dispatch.h,sha256=8Nh-81uGIeKupoirioYUEH5S_nhKBNsg7M5fW4gCOAU,1164 +torch/include/ATen/ops/nanmedian_cpu_dispatch.h,sha256=vctDDPRonNKcbe-RGaJdAXaLXgT1SVMUZbnQqFEswRc,1050 +torch/include/ATen/ops/nanmedian_cuda_dispatch.h,sha256=5JLcRz9B0xyLsNGWQ5xz19kPG3XqYS8Hh7pXNK5dZ-g,1052 +torch/include/ATen/ops/nanmedian_native.h,sha256=viyu1HdlOLcIf_zuoPKFZcSiXJ5lpT12r-7sOgTUfwI,1364 +torch/include/ATen/ops/nanmedian_ops.h,sha256=jDVyWJLG6uFFzRlG647ZjHUuO-nNaL2hEJ2r3WfcEvs,5074 +torch/include/ATen/ops/nanquantile.h,sha256=VAYs67oJtnzDj6uu6qkNvN-pqbHmNRfoYMk74DIdiOE,2962 +torch/include/ATen/ops/nanquantile_compositeimplicitautograd_dispatch.h,sha256=LKbMHXezJ71wmStn-1ooA0PUXOfMtbg625gxy9mw7fA,1814 +torch/include/ATen/ops/nanquantile_native.h,sha256=RGv6kNcmJXp_0fTs0r_1dbBe5PPOX5QbyjtQxTmTXZI,1133 +torch/include/ATen/ops/nanquantile_ops.h,sha256=LmR2rBpvm-TRY6uUOX44H7_6f-qFttUBmIK19jpjv8Q,4111 +torch/include/ATen/ops/nansum.h,sha256=o0yhZgNqd-a6bfAx2nDuJ1ZLY4QN_VZ28HsdX3p1L5A,1571 +torch/include/ATen/ops/nansum_cpu_dispatch.h,sha256=aUuHLeah4OI5gnwKaKjNx1Oa_RE_Z5VyC2j5PUi7NAs,1181 +torch/include/ATen/ops/nansum_cuda_dispatch.h,sha256=fzxRwTKK5xxnHS-dMnNs5y_iJUfnB2eztWkXLQBBcmw,1183 +torch/include/ATen/ops/nansum_native.h,sha256=pyWYjNDxdwT5sfeyKNRaosyuz6Yh1rsbhAcWUvaqEiQ,757 +torch/include/ATen/ops/nansum_ops.h,sha256=Y99Dw7eLFGczYNsTNmtM-hoXGGhlqAjgXBf3dWCbOVk,2161 +torch/include/ATen/ops/narrow.h,sha256=KJa3Sg7szdzj-pfgzdPU-URkJVOBYYyNYucd9WNhFSU,2646 +torch/include/ATen/ops/narrow_compositeimplicitautograd_dispatch.h,sha256=oyEHgOR4sIWBFraHk2R3t_-9LN5NDaWKPrvv2n1MKs0,1150 +torch/include/ATen/ops/narrow_copy.h,sha256=bGaNMsqXIDRxdTxu4_1HtrKakrsaTYZ4ypXcX0jb6_E,4102 +torch/include/ATen/ops/narrow_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=WD9km1plJ9m4iDKP7zllGw1kkhGoi-LvksHuHsin80s,957 +torch/include/ATen/ops/narrow_copy_cpu_dispatch.h,sha256=aqWzrVAs2JtXkKTv_2XcpCfdu_emEKYGz-4tNVZK5aU,1427 +torch/include/ATen/ops/narrow_copy_native.h,sha256=kTADY47GgTLuy1XcA7H2gAQT0XRltFAeTFt_3ARtQI0,917 +torch/include/ATen/ops/narrow_copy_ops.h,sha256=1k6vOgk6bD7_QhmgdQziCCPWe4CDjqG8_gBbNpypcak,1974 +torch/include/ATen/ops/narrow_native.h,sha256=Gdo7rPz4VGEQQgFEg-d6K5m9RQO9creCU4L3l9WXyWY,793 +torch/include/ATen/ops/narrow_ops.h,sha256=vCERx00f6FfuVPZDDDK7cDWGj3QtkYf_RNudQSlcW_0,1907 +torch/include/ATen/ops/native_batch_norm.h,sha256=JXh8DFk9yEkFHdWOkNcqc91HQHYbPBm4avVAsk9Cw0M,2766 +torch/include/ATen/ops/native_batch_norm_backward.h,sha256=AyXB3FOe-hKTG8byjmRl7Xpu9F_0B9xGbIc4I6oMwR4,3294 +torch/include/ATen/ops/native_batch_norm_backward_compositeexplicitautograd_dispatch.h,sha256=xrFVuHWZ6p9ZaUhMVG1AbCaanGZiKsRuR6iqNfUpRPI,1699 +torch/include/ATen/ops/native_batch_norm_backward_cpu_dispatch.h,sha256=lujr5B76VwV4TEZP7hrbFxTPY2Sz-L6rF3HH5actMek,1093 +torch/include/ATen/ops/native_batch_norm_backward_cuda_dispatch.h,sha256=3DyaFVq6hQaZVmAo5Kz7UqFWNvB0GQiWwYr9aF9v9fc,1095 +torch/include/ATen/ops/native_batch_norm_backward_native.h,sha256=_g1Og4-eIQU8EEpHzTLmFce41TEr3l0P7dDGm5Gdkzk,2203 +torch/include/ATen/ops/native_batch_norm_backward_ops.h,sha256=IkBdCSK2f9Fz6gPFNLYlQ4-0FhOqshfsoKb79hn3ii0,4175 +torch/include/ATen/ops/native_batch_norm_cpu_dispatch.h,sha256=Yo5p6l4qoufEUY5AE_jEMOL3wTHX7FOQ1zn4sWJkmE4,1792 +torch/include/ATen/ops/native_batch_norm_cuda_dispatch.h,sha256=gh0kRsdn4eu0_2YOarS4TnZ0BMYN9asnceDGCQjHu8E,1794 +torch/include/ATen/ops/native_batch_norm_native.h,sha256=7MVuMpUIDgxGtiXhr88BtS84E91Klo6ItKYz1SuzdVE,2194 +torch/include/ATen/ops/native_batch_norm_ops.h,sha256=E6-avDwf_6Iz1w-JwleiRyY_Koh5yubQJNHZzp0N9Bs,3546 +torch/include/ATen/ops/native_channel_shuffle.h,sha256=ZlzS8-eg76q0XYju5SS6g6Yu-izZ3AURIux0257Cl4Y,1479 +torch/include/ATen/ops/native_channel_shuffle_compositeimplicitautograd_dispatch.h,sha256=EgPaeX8pigfObD21AIgI9rq7IDkJUv6WwUDBKAc9jkU,893 +torch/include/ATen/ops/native_channel_shuffle_cpu_dispatch.h,sha256=ckCrqMRnuAkwJBAZ84zT3YwRxbT9f57rj-nL0Zh8d84,849 +torch/include/ATen/ops/native_channel_shuffle_native.h,sha256=GOp-cNafRfKtGmc7ZFd7gO2f_9wf3w4C-vXW0cLIvRo,600 +torch/include/ATen/ops/native_channel_shuffle_ops.h,sha256=UHUquz5B_u-8FIO86QJLcXYJtixi7w52aDolEozIr-I,1083 +torch/include/ATen/ops/native_dropout.h,sha256=O9N8whUKe3eBhOu0wsPf_KQDGvTuqirKeCq4bvobU4I,1518 +torch/include/ATen/ops/native_dropout_backward.h,sha256=hjuBK8_rHK0NzzaQIa3T2ZU40DlWuEkXKC5UlZN7pA8,1482 +torch/include/ATen/ops/native_dropout_backward_compositeexplicitautograd_dispatch.h,sha256=U7WG2d3WTPdD_N8R0MTlRKtxzRbvGDzB8sL21JqHo78,993 +torch/include/ATen/ops/native_dropout_backward_cpu_dispatch.h,sha256=1bORFhHM3PR9-gzAYkolIhplknpTrNFVzax0CauxA6k,783 +torch/include/ATen/ops/native_dropout_backward_cuda_dispatch.h,sha256=5rlBnKFiOAEU8mGr4Rw3f0Ao9Ort-GtWlnjpj0O06W8,785 +torch/include/ATen/ops/native_dropout_backward_native.h,sha256=EryR5mhHPT05a4aO9WBGTX_NEg7CM6zs9iPxbgD-dlE,813 +torch/include/ATen/ops/native_dropout_backward_ops.h,sha256=pckW5clCMbnqf3oqGzloY2tbRC_AqG0und88ERLdMfQ,1998 +torch/include/ATen/ops/native_dropout_compositeexplicitautograd_dispatch.h,sha256=f5SmvasDjKYaXJSumIRSfrCDGGfQ92e6pAnxZaC0rxo,1053 +torch/include/ATen/ops/native_dropout_cpu_dispatch.h,sha256=yYe3-__Zw_VTTIEmMdEfj1CrAumr8YVK5Uxj4wIPSiE,791 +torch/include/ATen/ops/native_dropout_cuda_dispatch.h,sha256=S3dmTbENftaZRepuxCmBYAB709RzPSpNLqVvSO5Ln80,793 +torch/include/ATen/ops/native_dropout_native.h,sha256=cflv2nBsexmXvsBnYB-lpW-XU21qtFQDaujoGq_IpU4,995 +torch/include/ATen/ops/native_dropout_ops.h,sha256=B6IPNvcVpFDPui8E5GXN9xeAUdYp-SSa5YtBT-3OKJ0,2146 +torch/include/ATen/ops/native_group_norm.h,sha256=l0uO43_EzzHXUBFB5k55g0j7Dl5JHTxJUh4CQgqkLno,7182 +torch/include/ATen/ops/native_group_norm_backward.h,sha256=UU2dk0ibv7-J1tL3GuFnozE5opTIIs0ikc_cnZih4ic,8715 +torch/include/ATen/ops/native_group_norm_backward_compositeexplicitautograd_dispatch.h,sha256=x9JEcAmDXL8jU_JbkA3kIVPz4Fkig8D2C_hbc6kEJQ8,2282 +torch/include/ATen/ops/native_group_norm_backward_cpu_dispatch.h,sha256=EgtMB1dfXJsXDX8gfsONrjyASff2tmc9SKg5s2iyefI,1317 +torch/include/ATen/ops/native_group_norm_backward_cuda_dispatch.h,sha256=MH07vF_fJJ36WH86aL_WH7m6U4-mv_lkr5K8D6WkKco,1319 +torch/include/ATen/ops/native_group_norm_backward_native.h,sha256=hTic7f9GbxMcHbJg1BusqhPwz6vGsz4dvI4QgGVSkLQ,1151 +torch/include/ATen/ops/native_group_norm_backward_ops.h,sha256=SjFbeYjZg5q1QxMqWN6ZyNNY1ll7meR_kv7DVQv0nfI,3573 +torch/include/ATen/ops/native_group_norm_compositeexplicitautograd_dispatch.h,sha256=VbI3k6F1iZLdUq2dR7Gj_6nxV8NjhTOAAl1dLwSQwJ4,2513 +torch/include/ATen/ops/native_group_norm_cpu_dispatch.h,sha256=A5wmY_xubw-Kj8buD4WQ9JuRijEKdZmSRxAE6nz8orY,1177 +torch/include/ATen/ops/native_group_norm_cuda_dispatch.h,sha256=nmGDxopaHjIf9g4QpbPsrImyLtWiDtIoxKoFm0FHc7A,1179 +torch/include/ATen/ops/native_group_norm_native.h,sha256=q4ZcVlX1YhBg4XLOi7MrMLecVds-43SXT0mMyV69vzw,1255 +torch/include/ATen/ops/native_group_norm_ops.h,sha256=Sx3Wv83AzoXYPEREEfKQmMyvhoUdnkgSK_JsSRyKoLI,3119 +torch/include/ATen/ops/native_layer_norm.h,sha256=Sgh6LtsywbpBOQ4vDzRFd6_zd15OdpXqvhKOM0g5YFg,7002 +torch/include/ATen/ops/native_layer_norm_backward.h,sha256=DQ_ltMzYCDOMjFHNlWhuNnpK-eCVRA2UMSpGkYDry6o,9171 +torch/include/ATen/ops/native_layer_norm_backward_compositeexplicitautograd_dispatch.h,sha256=V7tMBf_H3_8-_TV3zq1ir8t1asOdY0hiLLH6F2R-fF8,2362 +torch/include/ATen/ops/native_layer_norm_backward_cpu_dispatch.h,sha256=Cn6pD1-h0p5GpipTQiX8fLuDqnEqFdKTZ5yUzdpw8bM,1357 +torch/include/ATen/ops/native_layer_norm_backward_cuda_dispatch.h,sha256=bKbOuQEQOFzjesXYcbEXlGEC9XlWyUSlAlhAbh13_bE,1359 +torch/include/ATen/ops/native_layer_norm_backward_native.h,sha256=BkdNRScb3-8gdCvwQU64eTWUJgGWkACkviP6NFumPzo,1866 +torch/include/ATen/ops/native_layer_norm_backward_ops.h,sha256=2rwAHABOQEORmRsAaI_kzt1Sr71Bcg8ZX9AwsvyhVLw,3649 +torch/include/ATen/ops/native_layer_norm_compositeexplicitautograd_dispatch.h,sha256=FuYUB6Ra9uhm88-FHJzLzO3qJtDZmgyrB4LEqP7ecDY,2393 +torch/include/ATen/ops/native_layer_norm_cpu_dispatch.h,sha256=_kImS1FOnx0eGDPK_MSyO8ao18nbLed2Rh-XU8cRa8c,1137 +torch/include/ATen/ops/native_layer_norm_cuda_dispatch.h,sha256=xhiobJkxNFYiHdnK8WK2PfuYPbpVr6TRm7PL12NIEec,1139 +torch/include/ATen/ops/native_layer_norm_native.h,sha256=73579-194wUyggOhe9hdHUq0WdZnUulrjCASKYmkPz0,1661 +torch/include/ATen/ops/native_layer_norm_ops.h,sha256=mj4i0gpQ2j5R99rHWJa06Ra_HBDpAR-UERpTpX12N00,2937 +torch/include/ATen/ops/native_norm.h,sha256=wG5-p1F0BFGR1IbLOwRg2DrWrfkN39Sbm1Lty88XxDc,2437 +torch/include/ATen/ops/native_norm_compositeexplicitautograd_dispatch.h,sha256=yo-pVuo3Ixr6lG-1NB1dUUzIY3d0VaN0stopgp_p2M4,1308 +torch/include/ATen/ops/native_norm_native.h,sha256=oStyLmtmCucdM8WONOVjFyOR9N0o8ZKPkSZzE-ZCRms,1001 +torch/include/ATen/ops/native_norm_ops.h,sha256=081dvo44gE8i39i6a6HcEisBTuMtsO8Tyjk_CF3CQ0k,3803 +torch/include/ATen/ops/ne.h,sha256=fpiqwnRQwC1Yi5csDZSIQvAR6C80A6jWG4aJQ1Nt3LE,1830 +torch/include/ATen/ops/ne_compositeexplicitautogradnonfunctional_dispatch.h,sha256=0gw8iMctAjcy-Z2Hpb8eo75Imq53Z2GsmVOZPr-MxMw,1034 +torch/include/ATen/ops/ne_cpu_dispatch.h,sha256=wEEAkM1FWpUvaz-2utdvzOAnm3PnxBdiDy-w2om4mcM,1366 +torch/include/ATen/ops/ne_cuda_dispatch.h,sha256=BuZttwvEAMY1AsP0EBhQkXrIAVYH6qg3P8mZlygb_54,1368 +torch/include/ATen/ops/ne_meta.h,sha256=wZuCJy-XRjTyyiyyA9RZK8Si1joG8KqFJWD7pCjz3gQ,762 +torch/include/ATen/ops/ne_meta_dispatch.h,sha256=vSzkq-l9bjmE5jw-u4khf8OCCah1cgqc_kbXKer1jgk,1368 +torch/include/ATen/ops/ne_native.h,sha256=pyJ2GwLBlOuRdDPWOigNWagLNwr1CdUB4LpZcXyXOMo,1216 +torch/include/ATen/ops/ne_ops.h,sha256=5YSGYg4oDEihLkmaYRarv99DiE_RRWJuFSSKJnz8YgQ,4376 +torch/include/ATen/ops/neg.h,sha256=-0C0jROUjS6iSgbb3q2cceIGrYQUPgSzFk0otd2ouuU,1118 +torch/include/ATen/ops/neg_compositeexplicitautogradnonfunctional_dispatch.h,sha256=8fv7s5dGUs5sM86rIZTZGxgn7oHZU349Mjo2GeU0eTU,835 +torch/include/ATen/ops/neg_cpu_dispatch.h,sha256=7euY_fTbQvFB3hm2rbv6Kn2OVEqlrHIa3QRYsPJiydI,916 +torch/include/ATen/ops/neg_cuda_dispatch.h,sha256=-KZliKkCLs-5szk1vYJ-idRfUsS7Wlku3MNcCka20ss,918 +torch/include/ATen/ops/neg_meta.h,sha256=d7SVBHYwKJ9EFIFUCheTrsNX8QN0SqqT3Ce7N2g4oDY,583 +torch/include/ATen/ops/neg_meta_dispatch.h,sha256=VgpbxF9crPHGqcTksaTWQ2LO67i9nsHusQRU9HglkvI,918 +torch/include/ATen/ops/neg_native.h,sha256=1Uz-HKHVBEkHoAvmJGdSMKBdItqFQQn1-YAvVMqYnJk,1125 +torch/include/ATen/ops/neg_ops.h,sha256=1QVUSd3Pn893aqoKeka7kKF63Y6YHZ7_ROrrM245q1c,2095 +torch/include/ATen/ops/negative.h,sha256=V2OlYW3mdpsKtfKbAe5ajSh6r-KnWTnFjEvLHCRN7L4,1183 +torch/include/ATen/ops/negative_compositeimplicitautograd_dispatch.h,sha256=op-PvxB7IRQOY89z8hgzpEvBJt3HwmIwPOd9bEEtroI,980 +torch/include/ATen/ops/negative_native.h,sha256=yRV4tWMC6KsIHJZt4s4X5QXEVY24khgp9VH_8XBACTg,622 +torch/include/ATen/ops/negative_ops.h,sha256=qbjYNYiSeo5UO_2ABMcNGdWrsBk5BBtAj98Cnd_zK6c,2140 +torch/include/ATen/ops/nested_to_padded_tensor.h,sha256=i9eJgyzxR_vAH3EP-iBvX1j4gmCGhJK-n1Ax7rUAKUI,821 +torch/include/ATen/ops/nested_to_padded_tensor_compositeimplicitautograd_dispatch.h,sha256=Ndl2oGZD76tf_lQk9rDZwv2Til8fYy57BvCe9CrmOx4,847 +torch/include/ATen/ops/nested_to_padded_tensor_native.h,sha256=8-fXP154Qx1yLE4MKShYAz1bYRzxPiQfvXs6-02J9Vo,570 +torch/include/ATen/ops/nested_to_padded_tensor_ops.h,sha256=27rDY0mvy4gU9uZljB-YYQQaepawoazNn7mXFiN_9wU,1197 +torch/include/ATen/ops/new_empty.h,sha256=aHiJjdAHrLLDxrfk7Ik_J5xVhnlcP99g4Wvc2U9v0Uw,4337 +torch/include/ATen/ops/new_empty_compositeexplicitautograd_dispatch.h,sha256=EhLFNI7cFstUDUYP7MJ4SLbWbII9RyV6jvkEkKOFVYM,1818 +torch/include/ATen/ops/new_empty_native.h,sha256=AxwUaTxLeYKVs0RGn6Vu0_ukaZHmBZSbObq7PcqTcOQ,786 +torch/include/ATen/ops/new_empty_ops.h,sha256=ncIfCFBBO0cr326Lt_dIXKXaRfSxKuEsj9Z8gicjRtg,2256 +torch/include/ATen/ops/new_empty_strided.h,sha256=D62sT0iyNW7XOtwP62Nh9mr_KY3lFg40W1DhmxGXFkE,5201 +torch/include/ATen/ops/new_empty_strided_compositeexplicitautograd_dispatch.h,sha256=7gyzd5EWa-1GeI9YpgmpoldiMEepkEIHYDrNHVjJ-f4,1282 +torch/include/ATen/ops/new_empty_strided_compositeexplicitautogradnonfunctional_dispatch.h,sha256=Szfsu09opGS-K4DpmZh8dTUdF4LO1mcWA0aANurSwzg,1544 +torch/include/ATen/ops/new_empty_strided_native.h,sha256=xEsYOLzgfWz_nH-nvf48OWkTlRkj1N3vQOJjzFU_W5A,858 +torch/include/ATen/ops/new_empty_strided_ops.h,sha256=QI4gStHKFR2Do5wht0kButZI4iLhzg8yhciHIPQAKq0,2492 +torch/include/ATen/ops/new_full.h,sha256=oJ9cAm47yyQ-Evug9_xZTlrNoADPdwineHTXKzBnKGQ,4900 +torch/include/ATen/ops/new_full_compositeexplicitautograd_dispatch.h,sha256=c86Fgij7n42W-LP-L7QSWePOQJyXSFkf_bObsTmFMy0,2058 +torch/include/ATen/ops/new_full_native.h,sha256=rlW25ExrgMSc0u1PwhvFqN7bG2f6l9kjgzYSUYhoNgI,835 +torch/include/ATen/ops/new_full_ops.h,sha256=oyX-ebV4Qjk9SYTcA48xu4U9Cy7kqNExbqbsS2pQMps,2452 +torch/include/ATen/ops/new_ones.h,sha256=HpJEuhPrqeL8g7DopPKf8k3ROafe--U30aV5jqq-YJg,4308 +torch/include/ATen/ops/new_ones_compositeexplicitautograd_dispatch.h,sha256=h-aJeWpJtD1V6VKnFNoMjTNhQNltPuuWBpLpmr9Dlog,1810 +torch/include/ATen/ops/new_ones_native.h,sha256=XZAU9alKvHy57aElD7MuSfHo--vApbaE66XYYHuSg58,773 +torch/include/ATen/ops/new_ones_ops.h,sha256=qIRe6L3RM19xRJsfLR6GSb1bIRz4c6edhprJ6aGLLiE,2250 +torch/include/ATen/ops/new_zeros.h,sha256=iyBLbLdf4p9QZrnGYXYncJxGmlDjUL8md_77yEw440U,4337 +torch/include/ATen/ops/new_zeros_compositeexplicitautograd_dispatch.h,sha256=04zX221RUvndivi4WM-qDu9UEdXD0O4PHLVNxYkTzaw,1818 +torch/include/ATen/ops/new_zeros_native.h,sha256=x2opLScqHs9GAkyTC-ltqzFqwwHtDfNdP73726vA_Kc,775 +torch/include/ATen/ops/new_zeros_ops.h,sha256=o-LlGjsYf0dcpQjPLDUNxaqx2YVb-Q-yT8u0Y2I9qPI,2256 +torch/include/ATen/ops/nextafter.h,sha256=hZx5yNDKA9uBNtUSCLVGPXgsaSUFnZm_7i9MqVOSKGk,1186 +torch/include/ATen/ops/nextafter_compositeexplicitautogradnonfunctional_dispatch.h,sha256=vYK-Z3NDwBdNmqQX2vSsLBYvoEUs2XpRPveolkEZ9zA,899 +torch/include/ATen/ops/nextafter_cpu_dispatch.h,sha256=LYp7ltIrRJEYMPKE4dN3jbWCdjlbTM_aPbAnUJLpNkY,1044 +torch/include/ATen/ops/nextafter_cuda_dispatch.h,sha256=Lxj1Z4o1WtYT5iVDG6-b24VrV6WA51-NZ3BKSPLakhY,1046 +torch/include/ATen/ops/nextafter_meta.h,sha256=t0QmuWgkVBzRdoBm5vpynrvJQaHqbgAw5BdOEdLkLkY,615 +torch/include/ATen/ops/nextafter_meta_dispatch.h,sha256=F9PSZdrbwfFI0LlwM3o8PVIPd9HDsZ136TQ8SOSQe14,1046 +torch/include/ATen/ops/nextafter_native.h,sha256=r5DLeBUqHqNfxLNADYFpzmwhkTSpxhQKwiFQS0ZHbO4,642 +torch/include/ATen/ops/nextafter_ops.h,sha256=Kt_ZbcIpQsNnCIr_OGVunSjIr0y2H9QlGswmFqjE79I,2407 +torch/include/ATen/ops/nll_loss.h,sha256=Z_mexahSDiAI2XrRdjiAEsFvDevGZS7wgRUHqrFWA5A,5517 +torch/include/ATen/ops/nll_loss2d.h,sha256=sME530HHr0lOjiQRByglBpWdoNjDyUNFuC-R__m07d0,5579 +torch/include/ATen/ops/nll_loss2d_backward.h,sha256=EhupNblAApiLbC_ISCEK_kjcX53k5Hl1ULGYxdP512k,7118 +torch/include/ATen/ops/nll_loss2d_backward_cpu_dispatch.h,sha256=Nofe2SUZWy53qBbJ5CZ55JJ6r1dNDA9j0NpCHimTD2Y,2277 +torch/include/ATen/ops/nll_loss2d_backward_cuda_dispatch.h,sha256=4lKiFi1buLZDBxknx3IY5-dqaSQU8v_2_tQJXXR3_kU,2279 +torch/include/ATen/ops/nll_loss2d_backward_native.h,sha256=HNPUVNLLn57ktoICGOZk0RKUP27qUkPQ9WEonyTTKFg,1481 +torch/include/ATen/ops/nll_loss2d_backward_ops.h,sha256=fulQMzRzmuYPZDZmV3zK9tJxkABQnNXXQr3Xl_TFRfU,2876 +torch/include/ATen/ops/nll_loss2d_compositeimplicitautograd_dispatch.h,sha256=HeRE-mkGqLMqOqUNIHTJCQNbOG2rcDBoXGMv4KsG2ws,1961 +torch/include/ATen/ops/nll_loss2d_forward.h,sha256=IevemrmwcBYd-b9_jAk_pphw1JOxWzkSOkSonhtvTfU,6469 +torch/include/ATen/ops/nll_loss2d_forward_cpu_dispatch.h,sha256=vKeLXEpWzA3uMRWhNcnazUH9DG6jpcuprxTp8q1_KZ0,2131 +torch/include/ATen/ops/nll_loss2d_forward_cuda_dispatch.h,sha256=kDV3GVF8TImYthor8R-uHL2IvxKhDNIQmuWZot8Ebxk,2133 +torch/include/ATen/ops/nll_loss2d_forward_native.h,sha256=gJTNehyOs5do9YvykGwkz2StDdt58voDaFFt_Jt1Fzo,1367 +torch/include/ATen/ops/nll_loss2d_forward_ops.h,sha256=OhAyA-RiMxf1oGLZP-LchDiat5t45ClNQrnMp98qg7A,2717 +torch/include/ATen/ops/nll_loss2d_native.h,sha256=d67az3mdwL8DJaOSRguvDI2wB-0RQeCm95aIul8_ALw,832 +torch/include/ATen/ops/nll_loss2d_ops.h,sha256=IK_XCBtBped3rufaGDPkV8SrJPoAp7OXEe_0bIitew0,2388 +torch/include/ATen/ops/nll_loss_backward.h,sha256=erFInKDntpY3Tw9Boq5CKyLD5DpfeD5EXm_ev7xOk-Q,7056 +torch/include/ATen/ops/nll_loss_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=lfuZEKPVqwUYoJw0brM9SOLELtIFdzBF5gMeGTByzzY,1227 +torch/include/ATen/ops/nll_loss_backward_cpu_dispatch.h,sha256=pkJPlwBB2uI6iXBQARvjsok3H1VN7O5ySbLVbTNSiC0,2265 +torch/include/ATen/ops/nll_loss_backward_cuda_dispatch.h,sha256=THY-IkNKsktoeVjjtnJMuZBHCo0vAznmnHjia5hj8fE,2267 +torch/include/ATen/ops/nll_loss_backward_meta.h,sha256=tFTRCm0kdQOO9BQLDLdZqu2-pBC_PzUlQYaQ9IpO7f8,760 +torch/include/ATen/ops/nll_loss_backward_meta_dispatch.h,sha256=cECC09NH6HM7c5YzB7sdVvQAl2iIwzS0WLHsXAKPb3I,2267 +torch/include/ATen/ops/nll_loss_backward_native.h,sha256=IDx8NM_mjywMD5h_PTjkc9tiP8EESu0PdyZ1bSXd1wc,1152 +torch/include/ATen/ops/nll_loss_backward_ops.h,sha256=BDc-d6ztirKIBSwBd-rQi_VAeeZKhjUFtggCLsfHRSE,2864 +torch/include/ATen/ops/nll_loss_compositeimplicitautograd_dispatch.h,sha256=HGzffZSdeBaK6PrdzXU3PskxIyz-mxcIsQPWuj-EzLg,1949 +torch/include/ATen/ops/nll_loss_forward.h,sha256=oR_G69H6uzpkqTE80LLlUNBYKwf7RyWc-JZUzaZpb7w,6407 +torch/include/ATen/ops/nll_loss_forward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=nvZeKGeKVt6IDdKaKGe9o5QFTui-Ud_-9kaBnHK4axA,1145 +torch/include/ATen/ops/nll_loss_forward_cpu_dispatch.h,sha256=7NirWkK722cjPvKTOyrYXOxHPv4hBdk3JE7jIMBKfMA,2119 +torch/include/ATen/ops/nll_loss_forward_cuda_dispatch.h,sha256=YtiWriLtYXYqc5qCtdsfQVWlVuTNS-l50gxdB0Fssz8,2121 +torch/include/ATen/ops/nll_loss_forward_meta.h,sha256=CBRvZLZ-goi3TBvrQBrtlIOepxp5djm5oDJd6ppCPbo,694 +torch/include/ATen/ops/nll_loss_forward_meta_dispatch.h,sha256=wFtO20n6rU0D_Y62NLQvu6gE4Z1iwgFzJkLJmgvvhJw,2121 +torch/include/ATen/ops/nll_loss_forward_native.h,sha256=O1B5Svp1wT5aHhu7oGCdMvn-6Gp6Vfki3ZJelNSEJzw,1075 +torch/include/ATen/ops/nll_loss_forward_ops.h,sha256=EMkF8vxZeRyT9MQNBZJpbZA9QK46i_7s-0GsDEXKw2o,2705 +torch/include/ATen/ops/nll_loss_native.h,sha256=nu0r0pw2J4FlRA3SYWIGtmoiVUrlXVnzELPXdq8QvDQ,828 +torch/include/ATen/ops/nll_loss_nd.h,sha256=OuldC7Oy9yn42a3cRPikrxPNuFE-2iO8wmmwej82pDM,2112 +torch/include/ATen/ops/nll_loss_nd_compositeimplicitautograd_dispatch.h,sha256=Q69Zy8op31Bq8h_0s_koaaTs-f09yyTqq0ObF-eI4h8,1115 +torch/include/ATen/ops/nll_loss_nd_native.h,sha256=mL8njff7rOMlXtxmkO8VXpo2Ryx-59vDBqhPjwe6-mE,641 +torch/include/ATen/ops/nll_loss_nd_ops.h,sha256=-OBkR6HCi3qHqj1_WXx337AN_J1PdjHf82u6SaaRK90,1369 +torch/include/ATen/ops/nll_loss_ops.h,sha256=0GoZFaD3z_KsHkau9Z-lkogaOC0_r_jXmXcMdKpe0XQ,2376 +torch/include/ATen/ops/nonzero.h,sha256=j1i1vZrgucOLFna3fcvZ65-XynStfC_WlT4CiyB0Jh8,1025 +torch/include/ATen/ops/nonzero_cpu_dispatch.h,sha256=JVA9iWUJegnvjJsq2QZC7esCIvmq_8cnSqIKzxowGpE,880 +torch/include/ATen/ops/nonzero_cuda_dispatch.h,sha256=NS-AvF2Ad8-8_7bshKBnpna0l3ear6Ifh1dVV-94w6g,882 +torch/include/ATen/ops/nonzero_native.h,sha256=L-p7_TQO9QWzKL00YjuozZCZysQu4XGpFIN7GAXdl7I,719 +torch/include/ATen/ops/nonzero_numpy.h,sha256=qHwu-Udk6KpboWokxWAdBMzXzIg38eO2DIpergiFNfI,670 +torch/include/ATen/ops/nonzero_numpy_compositeimplicitautograd_dispatch.h,sha256=2M9_IcFfBHE-FLPOGonmDs8s1PaaLDKOkB63BCamvi0,786 +torch/include/ATen/ops/nonzero_numpy_native.h,sha256=i_QB_0kmirxSlWHMDzFU_LRYjExKNYoKKIrPy6n8WhM,509 +torch/include/ATen/ops/nonzero_numpy_ops.h,sha256=VjoeHBhzMIde-izNZvrnJjPAPgflSX3ybRVbLrbyo4s,1035 +torch/include/ATen/ops/nonzero_ops.h,sha256=Z9HAVv3WObxN7nFeb31hERrfm2ABveJ9_H-Z-HnSl_I,1596 +torch/include/ATen/ops/nonzero_static.h,sha256=apzM7aQqVjr3AB1rcQrXlYIyC8AiGGopTeaumchOP6U,1347 +torch/include/ATen/ops/nonzero_static_cpu_dispatch.h,sha256=PLbx0ftOcfMXwgwWPUU5pHKPFpuFo7busPF4WmcxvXA,1009 +torch/include/ATen/ops/nonzero_static_native.h,sha256=1Lx14yP3Be4T3OhyT0o_LxHjA98l1xwvt3i6FY3008w,660 +torch/include/ATen/ops/nonzero_static_ops.h,sha256=I0ikGZjOvSAmdPoriyKmp5KHngRNRbFO0JFv0bxyDkE,1871 +torch/include/ATen/ops/norm.h,sha256=jaXW2tZTuX4AeFh7JSjKPKkApWjBiCqb29ZwIgRoksc,6220 +torch/include/ATen/ops/norm_compositeexplicitautograd_dispatch.h,sha256=FpWiu67kgFqszIRB64XBwdyzAXNsPcalioWCZvCtRV0,1367 +torch/include/ATen/ops/norm_compositeexplicitautogradnonfunctional_dispatch.h,sha256=oVldhunEdx4x0hnwuIgOybqyiuycBKEVz8M6oWzbVn8,1012 +torch/include/ATen/ops/norm_compositeimplicitautograd_dispatch.h,sha256=SVviLJVCKr7bZfGtu2CVSv33e2t19lXtbQtxur00rh4,1630 +torch/include/ATen/ops/norm_cpu_dispatch.h,sha256=RBLOhTR3z11kaB9u4hkUYpk8irrwvDz865TUVAEoiXo,1586 +torch/include/ATen/ops/norm_cuda_dispatch.h,sha256=omCQreYzFdUeIrFewpLL1yjGHrw26c-_satYxOiS3i8,1588 +torch/include/ATen/ops/norm_except_dim.h,sha256=H0K9E9MASKWAoWSjt6qOZyee9x5LtzaKvISEIshlTaY,714 +torch/include/ATen/ops/norm_except_dim_compositeimplicitautograd_dispatch.h,sha256=WFyBku0XyXj6g72Hb-vx6c3ss713V9R94V41HMQH3yw,800 +torch/include/ATen/ops/norm_except_dim_native.h,sha256=GxmCRrP_7kooEgXikYRhbF7E_N0g5aoIjU5LbbDfbtI,523 +torch/include/ATen/ops/norm_except_dim_ops.h,sha256=rnTXW55jbLYVd7UVV7eUacYKK-6Z2aJDB7h_1L4hDHo,1077 +torch/include/ATen/ops/norm_meta.h,sha256=VCVOgQtK2wyJ2ElatMdlvvfAMn97GP7-M5NZCUrj47U,876 +torch/include/ATen/ops/norm_meta_dispatch.h,sha256=CguMpaumyjOCXZgYXuLNU-8XJHkPKKZVfDQq1r6maW8,1588 +torch/include/ATen/ops/norm_native.h,sha256=ft_o742AC4nVNOcfEuFRmRh9l-QYVGezgIYnbqK5c2I,2253 +torch/include/ATen/ops/norm_ops.h,sha256=P7i3_6nkWNmZWbBb_fMWs3F82cE-4O2KHg3JbDi0Vl4,10563 +torch/include/ATen/ops/normal.h,sha256=uU8n6A4gRNLl_qEh6pYK-9kwacF_sTIcOLH_iwAUOwc,11549 +torch/include/ATen/ops/normal_compositeexplicitautograd_dispatch.h,sha256=3LL80XmETiktm8xfdekyu4dE-Py89A8W9-oVgSNjtDo,2617 +torch/include/ATen/ops/normal_cpu_dispatch.h,sha256=8h5Hr-qWznl58El1gcuaEmJb2ihVJ8cD6fP8eKh4MOw,2018 +torch/include/ATen/ops/normal_cuda_dispatch.h,sha256=dVxdjcW0HNZBVCY4SdLwCTau8mmuDnnwR5gJALqI4JE,2020 +torch/include/ATen/ops/normal_meta_dispatch.h,sha256=HfKsU-cAycwB5grvyonRhndPgL0EBBXpBakmu-QSk0w,2020 +torch/include/ATen/ops/normal_native.h,sha256=d0Z2vGskocFE7k6B6XEFYFF6vEWnP88K1pwHdHdHSe8,3272 +torch/include/ATen/ops/normal_ops.h,sha256=qG8raGtcBThy00WDPK8DSKFC7ownx4APPg5EfDZ-2Sc,9884 +torch/include/ATen/ops/not_equal.h,sha256=bbzR1lSBP8_Opr5TZLhI2AyVPQ9xSpbWBc-8CoFVAAQ,1963 +torch/include/ATen/ops/not_equal_compositeimplicitautograd_dispatch.h,sha256=Hv7pe_IWW23uaET-h9de1yltqNvplM1rgp8QFiBY7Mk,1466 +torch/include/ATen/ops/not_equal_native.h,sha256=eXSXT3iUbXQ1oJJ0XKJNDucqFIk3Uslme6_Ieqwp2hM,973 +torch/include/ATen/ops/not_equal_ops.h,sha256=iFU_wsR6ShtNLgyQdyrh1EJ7fveQfAkhT04Dn6_Dz7E,4502 +torch/include/ATen/ops/nuclear_norm.h,sha256=_i7394hj3q54vxko84jloQ54RECGGgb_9eonlMQyEQg,2074 +torch/include/ATen/ops/nuclear_norm_compositeimplicitautograd_dispatch.h,sha256=vhRWRYRPERaidyNV-hbowCBZ2HlABPaku9map-l-4Bw,1339 +torch/include/ATen/ops/nuclear_norm_native.h,sha256=O9q4uRjHXy3C_AmfwxhMwyj6cRs9CBymixJRmY-Hl6Q,831 +torch/include/ATen/ops/nuclear_norm_ops.h,sha256=wzB4EX4cQaaEPzGpNSSkGS5-IxRhkVxS-dKC_k9XgpQ,3199 +torch/include/ATen/ops/numpy_T.h,sha256=s7RSovFmwpNdSSTz37DrPKMxsMw3ewlJxb03u53TP_o,492 +torch/include/ATen/ops/numpy_T_compositeimplicitautograd_dispatch.h,sha256=OCNdHot_8eP2h9wLwO048woz7aS8pqQo8mcIujot0Ac,765 +torch/include/ATen/ops/numpy_T_native.h,sha256=z9qojWHEUy7hZFw_6RtBnJpw9NnfeLm51kxlbGPAJm4,488 +torch/include/ATen/ops/numpy_T_ops.h,sha256=R2k6SuO6n-6vrijKtlTPyDbeQDUYpcB_Xvw0VEWBp5E,976 +torch/include/ATen/ops/one_hot.h,sha256=C9hQFg6wLg8V88xhJxfNR1-0B5rLvvuVkPG1twcBVvs,686 +torch/include/ATen/ops/one_hot_compositeimplicitautograd_dispatch.h,sha256=tVy4fq7qb7U4eeTz-cPl--TBb0Ee4jVUOWQsKswy5dU,789 +torch/include/ATen/ops/one_hot_native.h,sha256=CklhWCKkpm9QcR2IO6JXvMhIO12UBuAJ2ejNonKyAIc,512 +torch/include/ATen/ops/one_hot_ops.h,sha256=SvV4c3DrBPavuroVvyMn-ZQ1l35QP3yeisqA84N6rqM,1041 +torch/include/ATen/ops/ones.h,sha256=KdG0jYD0rD0OrHzhp1xFWKJXMn7WG9G-3KH9iSVbB6s,6784 +torch/include/ATen/ops/ones_compositeexplicitautograd_dispatch.h,sha256=x6Ccuq4EDFNnkaUPY4s1QQL4vfPcqpz3ZcYdiX7mRa4,2142 +torch/include/ATen/ops/ones_like.h,sha256=g3J1z8PgO5feEHdgQ1FEVTwcV04iE2ZScDqlTnGBmt0,2171 +torch/include/ATen/ops/ones_like_compositeexplicitautograd_dispatch.h,sha256=AoHhv9siDOVCozcw7m_Q1EY8crZbLhF9XY73xQghLHU,1368 +torch/include/ATen/ops/ones_like_native.h,sha256=2jCKhxqEAPCSHCZZvlYdtJ3e83Hgn4LAX5UWSB9gTtw,827 +torch/include/ATen/ops/ones_like_ops.h,sha256=BhSz3vTA_Q6IUbMLshLQseEZ9CvjWlj2ysn1pNHAYjk,2402 +torch/include/ATen/ops/ones_native.h,sha256=hUYkinEMWCih9sdV2-IfClFlkqcItvgX2sjRd6hwaKg,1057 +torch/include/ATen/ops/ones_ops.h,sha256=vnDz-bl9J4Bd8tjkvVSPoUbU-7gtb7Ad--gfZXN3DpY,3943 +torch/include/ATen/ops/or.h,sha256=eflD2vA0o9xhbp8V3HgrwWr-0vPPYppFFHi8eTG0NRo,878 +torch/include/ATen/ops/or_compositeimplicitautograd_dispatch.h,sha256=ig4iyemDkwA6VDc2NPJrsRjHRExSL6pSF370YKeHDCA,1024 +torch/include/ATen/ops/or_native.h,sha256=sQk9KFubjyakEgmMT6XJGYb_xPbbTU-1H3kspu3NwrY,747 +torch/include/ATen/ops/or_ops.h,sha256=zsIOHUd0GF5_xiPR9ZbiIX9OZG0va3d7ctuhhiVZ90s,2988 +torch/include/ATen/ops/orgqr.h,sha256=2E8BbpZ7TTuXEMSz-Q3GeInHUDzfFKh6tMMktHzitc8,1155 +torch/include/ATen/ops/orgqr_compositeimplicitautograd_dispatch.h,sha256=oP1VzvT-WgUOZ9C1M2SqhSV68rJ5eMxLAjL7WEq5cBc,999 +torch/include/ATen/ops/orgqr_native.h,sha256=KPFp35J9EAim8o5Wx-m3lXADfFfo2Xx0wATp_aEGLKc,617 +torch/include/ATen/ops/orgqr_ops.h,sha256=X9XfbELpHNRbFxek5wwyGeho-s6_HEV16VnuC0TKsmc,1762 +torch/include/ATen/ops/ormqr.h,sha256=RPRTECibyeVsnysj6FXFOVFvt2CDgJzuYKcYEDXQSJ8,1573 +torch/include/ATen/ops/ormqr_cpu_dispatch.h,sha256=g--JcO7fArdX43KXgL9q76WVWPA_8MrPRRI-GYIAP48,1139 +torch/include/ATen/ops/ormqr_cuda_dispatch.h,sha256=lUHWwaDpsKUzgE4sTV9UaHhfOyCmDkr6GYea2rKQKjk,1141 +torch/include/ATen/ops/ormqr_native.h,sha256=-zqGd500DoN7yhxV_ezdTlmpFatarFGk_ZUvr6JqYIM,736 +torch/include/ATen/ops/ormqr_ops.h,sha256=rtogJUcgh8QGLPM_T4hPrdITRS_Zo8LPoeIKDEsZeqs,2148 +torch/include/ATen/ops/outer.h,sha256=8xs62H_hKGk-9tGK9RHBeAGd6EB7Wn5VpkrGWoUX5yU,1137 +torch/include/ATen/ops/outer_compositeimplicitautograd_dispatch.h,sha256=noHy4UXi4eieN5N9eRpcIwH86Dca3XXx2GXEZHoDD4E,993 +torch/include/ATen/ops/outer_native.h,sha256=MuNmqV_vEcHMxUo7oJn4BYX5z2SCZEYui6umnkjxNpI,613 +torch/include/ATen/ops/outer_ops.h,sha256=Pf-ZUzzcBf0zoRSzbZ1EPKU3AApEJ75dttt0ptV1nW8,1750 +torch/include/ATen/ops/output_nr.h,sha256=BFNC4MbT28nRlxkhGXemxW68SC-vE_jSmmVxFublPM0,494 +torch/include/ATen/ops/output_nr_compositeimplicitautograd_dispatch.h,sha256=ADkZzPrF0NkaDkieqleI9Ul_CZA_0q6DGRRbqC1t9jw,764 +torch/include/ATen/ops/output_nr_native.h,sha256=nTFESmqXGAQ3V2gcAJMP0iupJVAxtE7KpEc4LMKWToI,487 +torch/include/ATen/ops/output_nr_ops.h,sha256=jUHXlgipu0DilJkM23lB33e82KK84aePBkkx4dJCTmg,964 +torch/include/ATen/ops/pad.h,sha256=qbGkFuBREMA1fCCPQ_bKCqu5SBX1z3yWrHLfyLG7748,1764 +torch/include/ATen/ops/pad_compositeimplicitautograd_dispatch.h,sha256=mKFoKzBNF0hiumCxEO82tdkI7a5e5yGjXB2LFCzHBs0,1017 +torch/include/ATen/ops/pad_native.h,sha256=dH9Nbn7bM1MIckgp5E-fZdz4PtU7pPEXLnnHRkMer3o,592 +torch/include/ATen/ops/pad_ops.h,sha256=BBguytW9xSnXW9gFJWirCDafu9eWoG_aAmglwGBhILI,1230 +torch/include/ATen/ops/pad_sequence.h,sha256=0NZffDJRpbrlAKdcms-ohQn6u9JwaN95i9bnjYs4Xzc,789 +torch/include/ATen/ops/pad_sequence_compositeimplicitautograd_dispatch.h,sha256=zQHfzgADpJvyS6Sh0jPigaTlFseUo3S3135NebCE8ok,821 +torch/include/ATen/ops/pad_sequence_native.h,sha256=4qukY6r2it5jWGudI9ciO2w3hb9PwumDOpza_kIdtXA,544 +torch/include/ATen/ops/pad_sequence_ops.h,sha256=hKqCGOWg6Dlq-T0gNulOIEPgaenaSiSStaK8JtzyqnE,1133 +torch/include/ATen/ops/pairwise_distance.h,sha256=cUaeq6yT7TN3aK-oEL36ILwKYMCTYOv1QD6om2eSRz0,816 +torch/include/ATen/ops/pairwise_distance_compositeimplicitautograd_dispatch.h,sha256=PJCuj024kpFizJvOWremBwg2xrEckFuZL9p547qPVOM,846 +torch/include/ATen/ops/pairwise_distance_native.h,sha256=zwuvRxV3d7qmMuP3nMkOm7FZJ08-3610dAJaO_rQ9Ms,569 +torch/include/ATen/ops/pairwise_distance_ops.h,sha256=1QsVVoYM7Rhp5ucjbnDoD8fCd-KEVHljcZDUmoywvvM,1213 +torch/include/ATen/ops/pdist.h,sha256=t9zIqsCgUrIQEy2eLnVRcuHEXkEsAg0e4Om39JMBVaA,647 +torch/include/ATen/ops/pdist_compositeimplicitautograd_dispatch.h,sha256=nJWNmO-kEwhIwizjFVtsJ5uwPVp5WPR68hFqDbw9aVQ,775 +torch/include/ATen/ops/pdist_native.h,sha256=OtLtQA0pXD8LS-0RgnWQ_S7su6cIB1TO9ZeZzteggsQ,498 +torch/include/ATen/ops/pdist_ops.h,sha256=n244EMPwJxX19XD9lI2fc0Ejblrk5SsZNHfAKeitkik,1003 +torch/include/ATen/ops/permute.h,sha256=Uaarg1JPaNmrFx9Bs3k_6BHXHjLc-4Ldh3yxHDw_7l4,675 +torch/include/ATen/ops/permute_compositeexplicitautograd_dispatch.h,sha256=znIjnggAXqVPwL1-FUsICvhKAqa70EppXBIJqSNI1is,787 +torch/include/ATen/ops/permute_copy.h,sha256=bMkGWuaFGcISbZ4tA_xYiYoMH_BtXXCRtFZi7tF34_A,1195 +torch/include/ATen/ops/permute_copy_compositeexplicitautograd_dispatch.h,sha256=RpiSHAZlCmZc-aCUlLDmlcAtJhiSlbkm5oX3M-EUVtM,923 +torch/include/ATen/ops/permute_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=HvgN6ExkSCEPfBW-ty9WLMppLX7vJZZgksAl-GEE7LE,818 +torch/include/ATen/ops/permute_copy_native.h,sha256=AP3nR8zThV4hzSJQsAIdL00zJh7xWpwNhYL40CnAPdU,621 +torch/include/ATen/ops/permute_copy_ops.h,sha256=175qzWRSQBJjq9lOUShCiMu7Q5t6lmnvuBWRw2H7JI4,1772 +torch/include/ATen/ops/permute_native.h,sha256=i981QZUEBCvf0422lAtjZ4uHwFcmexuSubPAMRfKF3o,598 +torch/include/ATen/ops/permute_ops.h,sha256=RPT8qIddeD9EYihvSQF0gMYUqQUDapcQEUT6nnYtkQs,1049 +torch/include/ATen/ops/pin_memory.h,sha256=tNepeHcdLlDZSKW7eR_fh320do0P6VFhXHahKKI0yLs,495 +torch/include/ATen/ops/pin_memory_compositeimplicitautograd_dispatch.h,sha256=2GXUo9D4sczyamKAyNYnc1Z30r_q_v1WMeE56WGdH3M,815 +torch/include/ATen/ops/pin_memory_native.h,sha256=zLgwh5ei8idt4vkqSKV8RwgRxdV3LoSYivqSpj9prxg,538 +torch/include/ATen/ops/pin_memory_ops.h,sha256=rISZsokBRdfAus2S40vtdmQK55l36IqO85Nq9xDE7Gs,1101 +torch/include/ATen/ops/pinverse.h,sha256=8bgHOMGTvqFGDLZS81Ur8G6y9P8H3CRxSrXPjfTGlk4,679 +torch/include/ATen/ops/pinverse_compositeimplicitautograd_dispatch.h,sha256=agiX8Sh2u1RWp5cyWjjoAhOwJRJwjt_VFFCc2dstTk0,786 +torch/include/ATen/ops/pinverse_native.h,sha256=cUnNsrddddJ_YmXnGB8NMfgRuWMMddteVzfhRaA5ROQ,509 +torch/include/ATen/ops/pinverse_ops.h,sha256=ri0SDzK9T-r5T3wYnc3vwgzT2CeSutSwCf8iKmxL8ns,1028 +torch/include/ATen/ops/pixel_shuffle.h,sha256=xOjcfh9uHKSTSXwn5cnGrFulAWqXcC_11EIA50quwuk,1265 +torch/include/ATen/ops/pixel_shuffle_compositeexplicitautograd_dispatch.h,sha256=T6qQA5lkzWlFqcBeRqBYqqr8W2sGmp8UU8nYQ1-8md8,929 +torch/include/ATen/ops/pixel_shuffle_compositeexplicitautogradnonfunctional_dispatch.h,sha256=2KlZIKqBxNARnD7EqM9_l6NYAEsIKZKdt7XyTteDjHI,821 +torch/include/ATen/ops/pixel_shuffle_cpu_dispatch.h,sha256=VMxgDyVdVzrE6RvjqLTJn6Bd0nF8ZDySg6wnkVa1asY,751 +torch/include/ATen/ops/pixel_shuffle_native.h,sha256=e8PS6OXwinWx5S65EDwach0mfBMVoiAUFb_BbAr3-bk,721 +torch/include/ATen/ops/pixel_shuffle_ops.h,sha256=Zfyl_b7IYhH8UBFNpo8Fk0qO9Wgqai6dXQFQkMdBDmY,1786 +torch/include/ATen/ops/pixel_unshuffle.h,sha256=uU3lDYHOzQkpyPP-4JkqHXVL8D_U-wEXbFM6YP2Czy8,1303 +torch/include/ATen/ops/pixel_unshuffle_compositeexplicitautograd_dispatch.h,sha256=8bTZWrKYAEj0Aq0mluWXCi4pywLtREZ9MTT3Olkkqcw,937 +torch/include/ATen/ops/pixel_unshuffle_compositeexplicitautogradnonfunctional_dispatch.h,sha256=AYolLvLlcFkkPYMheQ6wRpA6wSN6NeW81mmMIbpHIW8,825 +torch/include/ATen/ops/pixel_unshuffle_cpu_dispatch.h,sha256=DSsyO3j2gQcQEqhQbIR0gc15Psd_KpyuKtWB8F_4hqo,755 +torch/include/ATen/ops/pixel_unshuffle_native.h,sha256=57bw-1yiR-qZDkCykXF7v7cox_mm7Tvu1B7LnBZSSnU,733 +torch/include/ATen/ops/pixel_unshuffle_ops.h,sha256=Tr3h7cJKo-Qi0T9UgJ9OKelGISx4R1Q3xHF-QUFcw9M,1810 +torch/include/ATen/ops/poisson.h,sha256=JnRinLS_6to_jSyLVKocTBZQqdoykNVXcLn0FKgC-mw,1285 +torch/include/ATen/ops/poisson_compositeexplicitautograd_dispatch.h,sha256=oGkfyVWd7BSNtdJ6rbrLWssOVP9SfdPnkLO-kBjajc4,962 +torch/include/ATen/ops/poisson_cpu_dispatch.h,sha256=7dtJlL6ONZfOmwTbyqs5opkdv4eqME9_5U8SMtTo7Pw,774 +torch/include/ATen/ops/poisson_cuda_dispatch.h,sha256=nUoXuzTHLG5ZFGy0fWchWCL3U9x0x5ZVtj7T9O3RYy4,776 +torch/include/ATen/ops/poisson_native.h,sha256=qOeMhgygRuddzTNrIuthiW9bjCzpTPF6TnWu6Mfy4rY,783 +torch/include/ATen/ops/poisson_nll_loss.h,sha256=q8yztP8ba3vfrPuBax-4CHRpUw7ffutxzYGTVmH1sU4,862 +torch/include/ATen/ops/poisson_nll_loss_compositeimplicitautograd_dispatch.h,sha256=ygZ3zCKxpcJtm0WO2GkK1QBV2JMv_tnEXyBzevESOJs,860 +torch/include/ATen/ops/poisson_nll_loss_native.h,sha256=hjUF2Rlty8Hz776yeilhL5auO6SgVUXWXj-LtlIXTb4,583 +torch/include/ATen/ops/poisson_nll_loss_ops.h,sha256=jLRh-re2KEpptvffH4JJKCbY5XYf1DqcYWNnRbceJEo,1287 +torch/include/ATen/ops/poisson_ops.h,sha256=OY8NrkheLAAMNQOtSn3xS5ignCECAwvNyakl8CRQ2YI,1870 +torch/include/ATen/ops/polar.h,sha256=89KDwP0NtDFIGBehReg1kc3tdcoLqQyYJ8I-ab0rs1k,1137 +torch/include/ATen/ops/polar_compositeexplicitautograd_dispatch.h,sha256=63Ox2FepgsSZGwAawSnrPlaH1nEQTMtBTpAqr2jp9Xs,788 +torch/include/ATen/ops/polar_cpu_dispatch.h,sha256=Hi3FYfTFa594PdJqZ_sCnyvcb2ih16bPTEk_VNjBWqk,871 +torch/include/ATen/ops/polar_cuda_dispatch.h,sha256=9OVYb0efmcOF7CGqsy_FZuyciMVwUAixJxU47bG81E0,873 +torch/include/ATen/ops/polar_native.h,sha256=Ujs0pXFH6h5BXR46tjamb2H_XmYzaCAzcI03lBZJN9w,613 +torch/include/ATen/ops/polar_ops.h,sha256=wIjAEuscdl__duBUitC0YyxuiklbojwWIWWRdhlzWRw,1750 +torch/include/ATen/ops/polygamma.h,sha256=aNr2PPySN2EB_TEOS3xe8vhyPnf6xE3_qrToXLXsPxw,1108 +torch/include/ATen/ops/polygamma_compositeexplicitautograd_dispatch.h,sha256=ASsPSw-zfYpT8PQJKUnnvPOEPvfjv0MK1OzTLYIr3ME,775 +torch/include/ATen/ops/polygamma_compositeexplicitautogradnonfunctional_dispatch.h,sha256=n1z83T4C-YPI2lWZLG_piOySec1DdPPhaCu3r9_BO2g,804 +torch/include/ATen/ops/polygamma_cpu_dispatch.h,sha256=LGTvcKphVkyna4BvZbWC-kuBS_iF2-ToySj08uKWr3Q,919 +torch/include/ATen/ops/polygamma_cuda_dispatch.h,sha256=MPsys_kw-m2u9VnJhu-rU4YTkA3eYoIUMNrr29FglYY,921 +torch/include/ATen/ops/polygamma_meta.h,sha256=9uIt0c4xgfC7S2_mpAbHqXkC7YwMY_eq209HjP2_Doc,600 +torch/include/ATen/ops/polygamma_meta_dispatch.h,sha256=3JVEP9XNDBNhwIH6dLGs47YbN5tkBkudjoqDInPrRxU,921 +torch/include/ATen/ops/polygamma_native.h,sha256=cwxuFpCuzT2OpPrbMGDE4NhM94aqbUFlhuRlQeeZ0cE,692 +torch/include/ATen/ops/polygamma_ops.h,sha256=frdUASk6J-ZyZdaiHG8G-EKrCu1-sLBJFiQADWZBR6Y,2263 +torch/include/ATen/ops/positive.h,sha256=DPY2F_tB_NmTdCywtCd6HY5xiAovPHEaorLCKbqHAOA,639 +torch/include/ATen/ops/positive_compositeimplicitautograd_dispatch.h,sha256=WBfoIVm0ikbK7jTxuwyaIIp6dgjxkHQs7DaueD2gshE,766 +torch/include/ATen/ops/positive_native.h,sha256=0Z7xuOlZe913TVT4Hubd-dEhwWf3E-rL2KLpzdifvsI,489 +torch/include/ATen/ops/positive_ops.h,sha256=QOYEd5JNnxuGcWGfMijZK8BbP-HuBWIH0FjvOo_cfyQ,979 +torch/include/ATen/ops/pow.h,sha256=0ubBgoMJkxKG__9NWpkswDtatPC5jlLSeEvhrXRYQaI,2695 +torch/include/ATen/ops/pow_compositeexplicitautogradnonfunctional_dispatch.h,sha256=JPxA_SlRKjv2a00yRoSSTDfQ0ZWgOpga2IgPfZbjhB4,1130 +torch/include/ATen/ops/pow_cpu_dispatch.h,sha256=chd2P9T6nZ32HKiEwa3Q8gdqXNYMuBEs8tehRt_Dh7g,1687 +torch/include/ATen/ops/pow_cuda_dispatch.h,sha256=9wRa2C-ltM77NCSAgchGBl07oBXPnEERms3hj2Mc7Ss,1689 +torch/include/ATen/ops/pow_meta.h,sha256=YgsHXLgWJ1xGcAmlv879-Ae_IvQs-xyoTc8Wq8gEBZc,935 +torch/include/ATen/ops/pow_meta_dispatch.h,sha256=qdZqUESwksiWvJPwZ1DmvRZQuUmZbl059u5bmS16pOI,1689 +torch/include/ATen/ops/pow_native.h,sha256=AT0Z3WNyxVIHwCEZh0ZLEp3gTAnjRbgGwmnp8r_GJ7A,1237 +torch/include/ATen/ops/pow_ops.h,sha256=3g8V_t_egj5CKHj6K-mFyG68Mu8mvIN0Qop-8rIFPSQ,5901 +torch/include/ATen/ops/prelu.h,sha256=TsbpoXk3a1tedMr3i8BNrNCUHDg1Q0TlrHN-JRG7LY4,671 +torch/include/ATen/ops/prelu_compositeimplicitautograd_dispatch.h,sha256=DHiEZxoXkNYDxzuO5hTycax7fG_Y533mk3Gos-Vrmbg,790 +torch/include/ATen/ops/prelu_native.h,sha256=5rWCHOBi2piCpykojvBchURNi8vqlA4iGfL-e_jzR2E,513 +torch/include/ATen/ops/prelu_ops.h,sha256=UKGuljOYQo1vi7zXIY42KuaIdfgQuHALEFSm9t_lZGo,1053 +torch/include/ATen/ops/prod.h,sha256=x_6OuQ_vc1KwzpHmOKjjGJOTJtzLq8WT1hmOC2tIamk,3264 +torch/include/ATen/ops/prod_compositeexplicitautograd_dispatch.h,sha256=RndJYHr7TNK6_fPRbqpVd-HYze4f0XOL-TFe1bRyjP4,950 +torch/include/ATen/ops/prod_compositeexplicitautogradnonfunctional_dispatch.h,sha256=XHU1t3sIhnveEmULuefmRwYYUlJRPcdzmp8dihw6VPA,871 +torch/include/ATen/ops/prod_compositeimplicitautograd_dispatch.h,sha256=I5GSEpiugMXtpa2lCZxiTQ4dsIBPUFo9Obm4ACmvUgQ,1157 +torch/include/ATen/ops/prod_cpu_dispatch.h,sha256=dUUWh7XAx0kqNA56s3fM3ZT3WtEVNHQIAVLRi2cvXjs,1203 +torch/include/ATen/ops/prod_cuda_dispatch.h,sha256=hVzoaCiVVgZr3n2NYqxOmjc6oELdSG9eVp-GnXJNGgc,1205 +torch/include/ATen/ops/prod_meta.h,sha256=tsNCC6XPjHr-X1U1Ql90qgXAJcWDFBNm2191BWAmoVo,656 +torch/include/ATen/ops/prod_meta_dispatch.h,sha256=Cm70wLCP05_Ykl2e38GIwOsOxwp-0TAA-qccruKLkKo,1103 +torch/include/ATen/ops/prod_native.h,sha256=HefCQGyjlJ_4aO2ZxFDe1Evozb48EILRa8djRtr5vN4,1171 +torch/include/ATen/ops/prod_ops.h,sha256=p_FkJ2f2s9NBvQlecHu9BrEDCwkKyh5GIkjnsegwRQw,5167 +torch/include/ATen/ops/promote_types.h,sha256=PBmPBFIutFemxFOeJqzFV6jD9LbmRaAidYnMYL8ddHE,711 +torch/include/ATen/ops/promote_types_compositeimplicitautograd_dispatch.h,sha256=PXydHUCkUBtxwqqijy44jDt3ON4oHNWn46NmYrto8Vc,794 +torch/include/ATen/ops/promote_types_native.h,sha256=UoXEdVmVWNwNQ3ZZ6_2EkTEQcQR-MIr4DSRmbUzQt3M,517 +torch/include/ATen/ops/promote_types_ops.h,sha256=xrMb3PGNArw2UWdzt-rJErJibmT1lNNEzfvUNVdSaPI,1077 +torch/include/ATen/ops/put.h,sha256=77AiW9GfVnc_VYivaaFU9AqyuyoxrsSJZWtric1FBoc,1444 +torch/include/ATen/ops/put_compositeexplicitautograd_dispatch.h,sha256=l_DGfdycUKgZmXB8dpRWMDuxdT_D5SbzcRmFYE-hwxw,1134 +torch/include/ATen/ops/put_cpu_dispatch.h,sha256=4w1kldOr0MjApINC2y1DTQKALWKSfnDGX3tRAfhZT7M,790 +torch/include/ATen/ops/put_cuda_dispatch.h,sha256=tO-ABuc3BLcp3EqlSCNDFWFnmnMw4czDZV1opfZlGtQ,792 +torch/include/ATen/ops/put_meta_dispatch.h,sha256=lDUgR5LgSZNlJfh8fguKabnS806cl8m5aMUWhhJcCqc,792 +torch/include/ATen/ops/put_native.h,sha256=g3Ui7u9MfEUQOhc_zIKL9OsTPvmjgoVY1indqMeTV6I,829 +torch/include/ATen/ops/put_ops.h,sha256=rsuj47IP6n5jj_hiyOOvE0WHBe5cHp7g_QrBSzuAqXU,2809 +torch/include/ATen/ops/q_per_channel_axis.h,sha256=Mrx7GR076FT7QFXHBzB6u0_FBL5aaQ0Mzy6Z2NHuT6I,667 +torch/include/ATen/ops/q_per_channel_axis_native.h,sha256=MmuKHucG7nsaAzFyZmwsax7e36722XqBHC_Cat467Z8,496 +torch/include/ATen/ops/q_per_channel_axis_ops.h,sha256=owMMXDT6kKAtDzprj67BLgOu3SAVbzTYEbFDr8atRac,991 +torch/include/ATen/ops/q_per_channel_scales.h,sha256=JCRDs73IZ0cuJ86oomULEOEnjYXc2eiS_2i96B_i2r0,1155 +torch/include/ATen/ops/q_per_channel_scales_compositeexplicitautograd_dispatch.h,sha256=BdNy2NLW_IbfCFGdVTgfHs0DoPyvBCpTG8Y-we51VN0,895 +torch/include/ATen/ops/q_per_channel_scales_native.h,sha256=vxRmYiVpfirFqQ7i88_l70_RyImchpr5krSW7rBs2rA,593 +torch/include/ATen/ops/q_per_channel_scales_ops.h,sha256=JHJtC7-FGhcKP0OPmc2EUyLYwZH-QlUsTQUUyiN90HQ,1674 +torch/include/ATen/ops/q_per_channel_zero_points.h,sha256=EWRqHJnslACyKkXgZEaL92ysZtp2TLHOxdA6LnktIWQ,1205 +torch/include/ATen/ops/q_per_channel_zero_points_compositeexplicitautograd_dispatch.h,sha256=zyI61O2nyKl0qwm8xCWSLW-f43wbuolZhFGWwP8ZEOY,905 +torch/include/ATen/ops/q_per_channel_zero_points_native.h,sha256=fK97xD8upHoTOz7nwl3y4BaMxeJc8GU2UAIum8cKMqE,603 +torch/include/ATen/ops/q_per_channel_zero_points_ops.h,sha256=yo8odfnwtz6Ei7Oy0KsLdTnblWiWvcy2azwINZyWlDE,1704 +torch/include/ATen/ops/q_scale.h,sha256=nSySnIIIBQsKYOlfiWue3UaB5bJ9N2B_i3i1ht0qYWQ,624 +torch/include/ATen/ops/q_scale_native.h,sha256=uWJBYOI7C_-JFbN181X2WdQLGE_Qdf7wbDpjMuZ82CI,490 +torch/include/ATen/ops/q_scale_ops.h,sha256=L-sXz8Q00PTN1kJUP673OlU9uoqRa9hHMJ3hRH3Vqxg,957 +torch/include/ATen/ops/q_zero_point.h,sha256=9EUVhJIguEeh8U8z3j6-o93XZedcWjF_cE53AYvxIug,643 +torch/include/ATen/ops/q_zero_point_native.h,sha256=w6SctW6CXeoydhZvUJv9WDpDTVXIiO9BA2Mmtnb9R0Q,496 +torch/include/ATen/ops/q_zero_point_ops.h,sha256=u9qk8NMb6XABWxBJmPU8ssGaNY7I3xQS3M1GVlHDN_E,973 +torch/include/ATen/ops/qr.h,sha256=ofZ53HuG_W8k2rWAzi9MMc6FMV8KTrCZfKDkLXnTU9w,1259 +torch/include/ATen/ops/qr_compositeimplicitautograd_dispatch.h,sha256=_HiiHYUpG2P_4m5PgJQoKRjKXlhj5zint8T9Dw-pyDY,1059 +torch/include/ATen/ops/qr_native.h,sha256=kEif-d-GQX7tcHNBlL6T8X_nn72W3HXO12BN0BKZWHY,650 +torch/include/ATen/ops/qr_ops.h,sha256=gfm5ZyMMMkFdDkgFXFXHPDA7Jpjg78FfBE18UBcsxSc,1890 +torch/include/ATen/ops/qscheme.h,sha256=rvLFYq37tPawyjesyylyASKbJx_fF40QA3tGU9UV6Pc,492 +torch/include/ATen/ops/qscheme_native.h,sha256=PYx9WRBf7qYtQs6f3_2VP6Uq1iIElmF9ARv21uWdJrw,495 +torch/include/ATen/ops/qscheme_ops.h,sha256=OI093FcA0gtkJcUSM52gBH3GgP3T9QKGn2kwUR4oIrs,974 +torch/include/ATen/ops/quantile.h,sha256=n4iqUEdy8dzzZqRWYopO9My67JuZjNAv64S1iJ32Pis,2905 +torch/include/ATen/ops/quantile_compositeimplicitautograd_dispatch.h,sha256=p__kKkizh3G5Rq7iMSHOV-i4LPhTvUzMPjjiYDx5HV0,1796 +torch/include/ATen/ops/quantile_native.h,sha256=evAKUxKbVaFF8xtSpYCfXIAzv9YYN3kYN2iAe3Jl5cc,1121 +torch/include/ATen/ops/quantile_ops.h,sha256=eDLxbXu_6Dfwj5J1FsOR2kFRfzZAPBbOdJ28N95suMY,4075 +torch/include/ATen/ops/quantize_per_channel.h,sha256=T7upjvKQW-sER52F5wuj75ZLHIydJmUvKeoMSNybuNw,1731 +torch/include/ATen/ops/quantize_per_channel_compositeexplicitautograd_dispatch.h,sha256=ickXjBuswE9V6JsJxytriK8dIwcmVSB_9xIm4fsYWVo,1085 +torch/include/ATen/ops/quantize_per_channel_cpu_dispatch.h,sha256=NaFKeju7p7cM_QrueHErPKxLyxqDHLEKBAdoB-RxWSU,829 +torch/include/ATen/ops/quantize_per_channel_cuda_dispatch.h,sha256=JIBPdR5Uc1MVf0MfcsdrjtPmQPNe51Yf8gfjGUNP8t4,831 +torch/include/ATen/ops/quantize_per_channel_native.h,sha256=MBxqqwmGjJnCKA3hNJvjC5DBAi9lNqUWLTMFsmF0WW0,783 +torch/include/ATen/ops/quantize_per_channel_ops.h,sha256=9qWyZZTYBQgb1wyZzqHFhb46fwzi5pixEbeyHv5YDlU,2310 +torch/include/ATen/ops/quantize_per_tensor.h,sha256=9GuK06e80qrUCPVUQO_R0e33XPvxDBNs_IduOs1IxBI,3922 +torch/include/ATen/ops/quantize_per_tensor_compositeexplicitautograd_dispatch.h,sha256=34H0NkvyD9s6dCwKQq2jiYB0XdkKWm33xFAaVYmiV6s,1677 +torch/include/ATen/ops/quantize_per_tensor_cpu_dispatch.h,sha256=QdydgcSmRkv_QespwhuE_vrXSRS-fnfVeKeIdsbTkuY,1097 +torch/include/ATen/ops/quantize_per_tensor_cuda_dispatch.h,sha256=UsMtktdrp4usMxFc-Ow1sMAmftneuH463NbGL6-8C2k,937 +torch/include/ATen/ops/quantize_per_tensor_dynamic.h,sha256=_16_CQh_nXxdLW546u3-KW6pCkiGwLfXimBHk3hpZGQ,1522 +torch/include/ATen/ops/quantize_per_tensor_dynamic_compositeexplicitautograd_dispatch.h,sha256=ZYH0mlVOHbiGw-yaWCD6t1m3-4VAjXTN2ruaMlMEz5I,991 +torch/include/ATen/ops/quantize_per_tensor_dynamic_cpu_dispatch.h,sha256=1eJnnQqid2OO88F2-eDS4MYR-WkvOnHRAFp7hAiWk1I,782 +torch/include/ATen/ops/quantize_per_tensor_dynamic_cuda_dispatch.h,sha256=-7hnghli2hQCNRS_ZQ85qAkgLBNFFb3bMXVKwfmeiMI,784 +torch/include/ATen/ops/quantize_per_tensor_dynamic_native.h,sha256=yeUNjeFdOYBjo5jrrCoWbai4BW-j-qI5DgzK_YHCDxA,689 +torch/include/ATen/ops/quantize_per_tensor_dynamic_ops.h,sha256=M7rDTT19KxpuT91-xBQrYKX9n3Xt7-PlWxgxHexb0yQ,1998 +torch/include/ATen/ops/quantize_per_tensor_native.h,sha256=CAbvNmK4QCJRBsX25_yi2Ie9JB37xgDsYhmmey3-Ef8,1393 +torch/include/ATen/ops/quantize_per_tensor_ops.h,sha256=AZPzabwZFGwgQpf2-qLNi9GAnxq1nG5suzNtwvmVndI,5749 +torch/include/ATen/ops/quantized_batch_norm.h,sha256=E2dBZllNAV1onCqSYGAwFUJgE-gPm_A3bAROoDlzIxY,2253 +torch/include/ATen/ops/quantized_batch_norm_compositeexplicitautograd_dispatch.h,sha256=CY-197vRMz9OqxpOTMEJj5ZVgyeDpNy8UHv1xcUqAqg,1279 +torch/include/ATen/ops/quantized_batch_norm_native.h,sha256=zM1-TZfBsKtpltw4CMLLbDaTLbKAVP6CaGFcWHP9eqk,977 +torch/include/ATen/ops/quantized_batch_norm_ops.h,sha256=Nzzp8ZoulfHLCmzPN0zA9ycjg_rD_oZrVc3oNmpw2fw,2932 +torch/include/ATen/ops/quantized_gru_cell.h,sha256=sWm42nFyVwp-1KuMjzcC2_D8WwTEF5DkJRwo6odomk4,1410 +torch/include/ATen/ops/quantized_gru_cell_compositeimplicitautograd_dispatch.h,sha256=mye9ElBjpdgd6Utk2WKGA8JdetNzbrgjRAGA12Jxv4M,1156 +torch/include/ATen/ops/quantized_gru_cell_native.h,sha256=o0D9wgMO_F5zW1gaF9CXO1eMDAUhYje5lcrSmUsP9zw,879 +torch/include/ATen/ops/quantized_gru_cell_ops.h,sha256=4eduLwKeUYz_482sFPbmKQcHdEkA3P_FaMfIyRCmhns,2247 +torch/include/ATen/ops/quantized_lstm_cell.h,sha256=1OxmNLoHRuRggjKm6wePnCZ3G7KKUI87eFlGztUfr2U,1447 +torch/include/ATen/ops/quantized_lstm_cell_compositeimplicitautograd_dispatch.h,sha256=CHd94WfD-LLTc15yqjg8dg90n2DTA2ah_Sk-jCMj4Lw,1178 +torch/include/ATen/ops/quantized_lstm_cell_native.h,sha256=RFKEekTB2WI-psKcTPs2A1Xo-HogZA6WCZofIYjIUZQ,901 +torch/include/ATen/ops/quantized_lstm_cell_ops.h,sha256=VaDEw0u5PyqJUKf-5UnW0sl94AWrRrY9ASSBQXNahiA,2325 +torch/include/ATen/ops/quantized_max_pool1d.h,sha256=2pznUUFS0myFrIZGz_zlwk6P54MedivEUiQcNzjReYs,1985 +torch/include/ATen/ops/quantized_max_pool1d_compositeexplicitautograd_dispatch.h,sha256=nTpmlgbJPKzjSKB7TzdnAbX8fP4ozzrZfxz2tQ5GNLs,1148 +torch/include/ATen/ops/quantized_max_pool1d_native.h,sha256=Y_v1jJ_pXOQuXqh9QXG1ChHxqU7dE4T5IKeLAVwvQm4,846 +torch/include/ATen/ops/quantized_max_pool1d_ops.h,sha256=PgdH6ZrXeCIHEBTICy8Fa6Phms58O3nPdY4m9jvf66g,2496 +torch/include/ATen/ops/quantized_max_pool2d.h,sha256=LeY5xA3a6BmhmktykwreuWUIOw-_2svFLva3QhPWjIk,1985 +torch/include/ATen/ops/quantized_max_pool2d_compositeexplicitautograd_dispatch.h,sha256=_mAEwP7G_qANjqlEsnm_cHcW9OrEv9tKx4_Pr3OGjZA,1148 +torch/include/ATen/ops/quantized_max_pool2d_native.h,sha256=mE8nls_NdBrUeCW75dxyf0tNNOiGeQg0b1m9brI4Bx4,1053 +torch/include/ATen/ops/quantized_max_pool2d_ops.h,sha256=P91dAE-kITQy9TDQqf0SMIc2Gnj58Hym-zrLZ6Xw9L4,2496 +torch/include/ATen/ops/quantized_max_pool3d.h,sha256=jm7CD0esIs8Yk7GRYpPXCv-56zJLm-QngwwCSfv65pc,1985 +torch/include/ATen/ops/quantized_max_pool3d_compositeexplicitautograd_dispatch.h,sha256=Ah4TkNI_CfYqSXg7NFT_JOgS5mW3XQxy_CwmZ4HBXEE,1148 +torch/include/ATen/ops/quantized_max_pool3d_native.h,sha256=PL-_xVdcglTvjuU0oeQbq5nG-KiWt0e5aGzzVLn6bBE,846 +torch/include/ATen/ops/quantized_max_pool3d_ops.h,sha256=TUjS0fibXUHRk5ViSXIodazh7n8sMxzF0_TvssspN_w,2496 +torch/include/ATen/ops/quantized_rnn_relu_cell.h,sha256=yc985eYjCO74Ze49FKFvHjNZaI0mGzo12EpiQPNLwJA,1430 +torch/include/ATen/ops/quantized_rnn_relu_cell_compositeimplicitautograd_dispatch.h,sha256=_NTM5Jv2skraZVsgLwRmYOXHo0HdGdQLdSo5fmFHr2Y,1161 +torch/include/ATen/ops/quantized_rnn_relu_cell_native.h,sha256=oD6PcEuguPw7G63wK-_dAcFU7o2VxEdq8iZ224kUGfs,884 +torch/include/ATen/ops/quantized_rnn_relu_cell_ops.h,sha256=Fvik37AemYR03T5F7Wvw0r6yPsV8u7HkBY5nTQFVtV8,2262 +torch/include/ATen/ops/quantized_rnn_tanh_cell.h,sha256=X5lB-uOn7Q-S6G3weEczhPbQXUnNjns3gfuNTIYqp5I,1430 +torch/include/ATen/ops/quantized_rnn_tanh_cell_compositeimplicitautograd_dispatch.h,sha256=hdXVManL2nYQGh-VksacdcyqKPGjaFuUZOYPX2vbkN4,1161 +torch/include/ATen/ops/quantized_rnn_tanh_cell_native.h,sha256=LD1riOoaFvY_GVSJTMcutsyn6dlNmDQAhl6S2b8CN5Y,884 +torch/include/ATen/ops/quantized_rnn_tanh_cell_ops.h,sha256=FStdBWGSBfrZvBgIHIFPLW7Cvfa_0HuZnRKKunQ94K8,2262 +torch/include/ATen/ops/rad2deg.h,sha256=jxNJT4e4HM5TbeFu3O_xJyit8quIRtsD2-oAjHbTV4s,1170 +torch/include/ATen/ops/rad2deg_compositeexplicitautograd_dispatch.h,sha256=rP60qflK5pdHdkhb17SLZSnBZb9bEXGr5_XPgc2Ix-g,976 +torch/include/ATen/ops/rad2deg_native.h,sha256=JaVKPAW4rOG1R1tH7Rn7_C4ypyGps-Mpn_nvt2bdbPs,1045 +torch/include/ATen/ops/rad2deg_ops.h,sha256=AKth119jXGDhdmxNEQAPGd-Jsn85zK_Pm6nN4RkELH4,2131 +torch/include/ATen/ops/rand.h,sha256=9vw72vjdNf9wXpJx4tveb6780s5dvctx0AgU149Ph4g,24576 +torch/include/ATen/ops/rand_compositeexplicitautograd_dispatch.h,sha256=aoImpZxt-6cM7_CdQJfe27yvAgSumS-yLLbleiNXyJs,4954 +torch/include/ATen/ops/rand_compositeimplicitautograd_dispatch.h,sha256=HR285QEXXCRoQ9j2zfZQPdQw-YvoxFYdsRlVYlXCG4s,1186 +torch/include/ATen/ops/rand_like.h,sha256=YJR1jNIepeiYO147pB15WwAGzAaPlGs4UrTTjMeY9H0,2171 +torch/include/ATen/ops/rand_like_compositeexplicitautograd_dispatch.h,sha256=TbVFNgNrqYAgRswjulgqWwLqGU7o3PWn2VPw0GLsVY0,1368 +torch/include/ATen/ops/rand_like_native.h,sha256=0XtrruIGSVVbcFSYAG_THHUv-Acmc6knrJ8EJ6ryfTw,827 +torch/include/ATen/ops/rand_like_ops.h,sha256=h0sh5pqr3MfhlssJnEZ_7FM8SidpPjYxrLrLMPdmIOk,2402 +torch/include/ATen/ops/rand_native.h,sha256=d3ljyQFJi5npsz-K6r9v4yCIZ2EFuWxofFvhBEt8xlo,1878 +torch/include/ATen/ops/rand_ops.h,sha256=4GdXRhtUNKYFEj-PEZRBHdOZIUHSy64v6UEOHCOz2_I,8189 +torch/include/ATen/ops/randint.h,sha256=7YgCzyAM1AcAhZNokWXMhJLEZah9z_q-DQW8TPvkwow,25883 +torch/include/ATen/ops/randint_compositeexplicitautograd_dispatch.h,sha256=THawTUcKaDVa0BkBx8V57_J-uybF3IftPK3Z4FELf3w,5726 +torch/include/ATen/ops/randint_like.h,sha256=_0M9pTJ62SXWyizU7M9J3zk-ug5zYSyI-XZrXOVZ7ww,15312 +torch/include/ATen/ops/randint_like_compositeexplicitautograd_dispatch.h,sha256=NtStNz2kMedJ_5c9bOLkrTRhN26VMarkdV_-_v9Dd9A,3822 +torch/include/ATen/ops/randint_like_native.h,sha256=y54cEwgXjWvp_BgHpZ2Ddh1NUbOVexqt2EhA8omx8uI,1351 +torch/include/ATen/ops/randint_like_ops.h,sha256=CgMqn5Sd7WVJODKKeUlCXO09YC-mHuGRhR97cW-lEtU,4831 +torch/include/ATen/ops/randint_native.h,sha256=Z1ohQVBSqEIKylnM7sBhIjT0k3XLEtoe6I1GmKu2Jzo,1865 +torch/include/ATen/ops/randint_ops.h,sha256=yTRqkCcV5qzf7UCWmIkskw9WlDjReFR-EQZo1ZZCKjc,8435 +torch/include/ATen/ops/randn.h,sha256=2IBlzGWerOhb7FaRdsoKnI3WCWEV99GQBVowMCb54Xk,24737 +torch/include/ATen/ops/randn_compositeexplicitautograd_dispatch.h,sha256=MI6MBfKcHMeZ4HKVjXYeZycpg9SRUR2QR2t8LqyN0TA,4662 +torch/include/ATen/ops/randn_compositeimplicitautograd_dispatch.h,sha256=AUf8QX2h7xkjv-Obdiq9tRWn1eyuX_JDQuj0Pwnzwws,1510 +torch/include/ATen/ops/randn_like.h,sha256=apSD3jGYE0QJKv_sr4gvMPTP6J7JuwzEUICSmE5nIPg,2184 +torch/include/ATen/ops/randn_like_compositeexplicitautograd_dispatch.h,sha256=-XvmoGunk1Ya66RfDcB58rIUjjyBVZ_spuEfWnjY0H0,1372 +torch/include/ATen/ops/randn_like_compositeimplicitautogradnestedtensor_dispatch.h,sha256=eHLHbc_UokO1e_Y9JX5UB8QdbDuxIZwXqFFF0TO5rTQ,1124 +torch/include/ATen/ops/randn_like_native.h,sha256=JAlnTrF3WcWJoOgQJ9xcwV81P_C3YVzw7hTeHy6bBTo,829 +torch/include/ATen/ops/randn_like_ops.h,sha256=DHMQB5Tp1HNBIRfLYCBpa5U1d7Hcz4W2jEB6KelolSU,2408 +torch/include/ATen/ops/randn_native.h,sha256=Zse2pOwvw6PF_XmQw02A0Im3ldx4eRYGsptvKJ3yiYc,1886 +torch/include/ATen/ops/randn_ops.h,sha256=EORW5OC0YWr0Y58Mcyi_M5pTGRowLDiEhnIrcEPwixY,8213 +torch/include/ATen/ops/random.h,sha256=1M9pZw_RkyT7zYqKz5eA4JPXBWv4R0TVohZSUZpUfZc,3184 +torch/include/ATen/ops/random_compositeexplicitautograd_dispatch.h,sha256=hcIBZwJQgmYLMJ3waAm9x9VcQgQtEfH9rqBdBWV32Hs,1940 +torch/include/ATen/ops/random_cpu_dispatch.h,sha256=8AYQYnOgsEyfAALxGlny6hsri0Cqtn2-zwgCRaKBptE,1031 +torch/include/ATen/ops/random_cuda_dispatch.h,sha256=SQPwcDSuESv3fTKvTE6g0xcqpzyY2MHiGEkyybdag4E,1033 +torch/include/ATen/ops/random_meta_dispatch.h,sha256=H67WyIhvzvABOxxkvDdcz4K_Kgf4YuB0Lio7lUN49fw,1033 +torch/include/ATen/ops/random_native.h,sha256=i5nogNhA2gIwE9aRmI528Ww9wgc36y-wRmWbOQ6Bn8A,1967 +torch/include/ATen/ops/random_ops.h,sha256=f11MbJQ7thke0E7o5vqSEewsqQp7fy2-LdwgarYe9_I,7342 +torch/include/ATen/ops/randperm.h,sha256=YQqDHZokctxCXdps0u5oLavai-iPoblz7mOVo9SWqzo,10900 +torch/include/ATen/ops/randperm_compositeexplicitautograd_dispatch.h,sha256=vKQgk6uI9EU4r2VTDy6polTC6wruhxdctHp-ISgUXf8,2234 +torch/include/ATen/ops/randperm_cpu_dispatch.h,sha256=s8ks_QAkEE8LPgdlZuftgndrmQ8pISD-9wSahXBh3qE,1114 +torch/include/ATen/ops/randperm_cuda_dispatch.h,sha256=9LM6-eouCmUBgcldfTy_118LjJWfFFCA7XaxlbGT9VA,1116 +torch/include/ATen/ops/randperm_native.h,sha256=cBlCjm_7PlUxje06Q7nRkBEXeqgmY6pTNz31EZs2z2Y,1142 +torch/include/ATen/ops/randperm_ops.h,sha256=w6sVOsmYsZYz-DnNdpTKNhqCTM3T_iNCJ_5fXIvztQg,3917 +torch/include/ATen/ops/range.h,sha256=gWutatdru-raG8Su7YB4a4KDFwEwqfcpzL_1sNS2Ls0,3355 +torch/include/ATen/ops/range_compositeexplicitautograd_dispatch.h,sha256=5hLZ769r04kzV8N10DZReT0NyhquCOjW0VdjNI9y-1E,1613 +torch/include/ATen/ops/range_cpu_dispatch.h,sha256=-1-AMk7WfA1bS1JkZQir3cRFV9O-KyvXZ7CZqNyV-_E,921 +torch/include/ATen/ops/range_cuda_dispatch.h,sha256=gd8fhCREoZUKnkfzzy9bhrkAsw9FGBfv3jpaY2AFcU8,923 +torch/include/ATen/ops/range_meta_dispatch.h,sha256=ZfGyV-T6liGMdi1Z1IBqmzbUS_EKLhIjGWl03akaXO8,923 +torch/include/ATen/ops/range_native.h,sha256=i_clcMV9PRDJwkOtFPMgHdbuqOzV21lCtJw5m-EfB9Q,1283 +torch/include/ATen/ops/range_ops.h,sha256=GoWnMMw0U0qiE2Z7QR7-66HLuctC_RlIUrWfuILJ_LM,4197 +torch/include/ATen/ops/ravel.h,sha256=H5vq7fq5VC9s-r1fL828aIgGwm6PzuRP7NyFb3Ufk88,627 +torch/include/ATen/ops/ravel_compositeimplicitautograd_dispatch.h,sha256=y34AGJ-fC0ir8cxN9PK5iRh3NEVBVyFQpfdj3W1KmCY,763 +torch/include/ATen/ops/ravel_native.h,sha256=ObLL8hhn4LoCbl_D8DJeywyQ5u8j_bOkzKUGDzmGexE,486 +torch/include/ATen/ops/ravel_ops.h,sha256=GEJQStdOtidOMcd0RFKTpQN0lAW0q0X_o_V8_PhLbHs,970 +torch/include/ATen/ops/real.h,sha256=O0VLCesFTxfn5fVSSGCo-hKjdwTLGbbdluuTK_vB0aw,623 +torch/include/ATen/ops/real_compositeimplicitautograd_dispatch.h,sha256=6YNWDH2lAMTG3q3-6sMk-oGOjw_JJKHVoJB2_3UYkfc,762 +torch/include/ATen/ops/real_native.h,sha256=thhSnDY9FEgg2wNLKivxGFGjqCKK8Ya1r0wZSyU5nEA,485 +torch/include/ATen/ops/real_ops.h,sha256=7TNm3m7hKJdFCaTyg5zyUKrOlArw9ktTyFZy1_ZJxuY,967 +torch/include/ATen/ops/reciprocal.h,sha256=clxXczkmG9l_pIAfscv0v7a0k8UVv6vrcV65zYn-ji0,1209 +torch/include/ATen/ops/reciprocal_compositeexplicitautogradnonfunctional_dispatch.h,sha256=J_4RQFUT9KSGXNEDQkJiwN0dTGpeA0Zk6MignB34bTM,849 +torch/include/ATen/ops/reciprocal_cpu_dispatch.h,sha256=dDhXsZ1vOEoOMKD2kbBrBP6OM6QZxFlq5Xxt26h0Dgg,944 +torch/include/ATen/ops/reciprocal_cuda_dispatch.h,sha256=dYwm58iVZsm0GZvrj7v1O7wd9fo7sQb7wg4zuw7BdI8,946 +torch/include/ATen/ops/reciprocal_meta.h,sha256=iY-88cd4Yon00eDn8H_seJpPnmOwhUfPXW1dZ9s0qug,590 +torch/include/ATen/ops/reciprocal_meta_dispatch.h,sha256=tPwqi_RTl-9qeA9HsJoMQp87fRPKA_tpD2AhbCLAZlU,946 +torch/include/ATen/ops/reciprocal_native.h,sha256=WYT8FAIFiuvAddZAMoZn-QJqfoyTExyCg8o_S_VO2Pk,619 +torch/include/ATen/ops/reciprocal_ops.h,sha256=u73LNWR5VoiOOR7gjlKJnGYr_kSg5sfvFkPn5vbBFcQ,2158 +torch/include/ATen/ops/record_stream.h,sha256=Au8Ke7RnxxLZQ1-h1Fx681-c7LD1XyWcIq2X3AUYGvM,498 +torch/include/ATen/ops/record_stream_cuda_dispatch.h,sha256=GPazjuR-Wmnn4PUBOcIDw-vdf5P7Eq9eqL5vCR1K7Rk,731 +torch/include/ATen/ops/record_stream_native.h,sha256=Jqu0o7Odc7auf0HUlykdM6LZ3Eu9rbvz1DXJC2kP5Dw,501 +torch/include/ATen/ops/record_stream_ops.h,sha256=Gh27W0SQZd5rLdx2D5oVsUlXXzIt5grKS_7Gjv_8hok,1002 +torch/include/ATen/ops/refine_names.h,sha256=2dZftYjxZ2TOPIRRqX_GPtwXX6u1vsSF3wxhRgDyXPc,497 +torch/include/ATen/ops/refine_names_compositeimplicitautograd_dispatch.h,sha256=8H9ZnsGXJhB9doMZPEOxAMQ8SvcKB-Ka58LeGL-S63U,793 +torch/include/ATen/ops/refine_names_native.h,sha256=Gck-irvqOyotZ9ma2s1KIuoCm3ufP9oMaxW8DXpV9Ts,516 +torch/include/ATen/ops/refine_names_ops.h,sha256=O2Q2ik7Bm8LOH3--P8gRk6KefNveJWxdoW_CGk8_Ks4,1071 +torch/include/ATen/ops/reflection_pad1d.h,sha256=OBeNExdUHroPlQ5R6nZMt_g0d-A5DA7yVaC_Ebpf7Lk,3915 +torch/include/ATen/ops/reflection_pad1d_backward.h,sha256=pSbd9NVLVzx5OVH-thVUWbXu-MupQGpvXUNRG_KlRZU,5078 +torch/include/ATen/ops/reflection_pad1d_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=95aWO_HH8E3qaTZ7MJDPkeYHINT4hQw8M1A3o5J4Pqw,1007 +torch/include/ATen/ops/reflection_pad1d_backward_cpu_dispatch.h,sha256=AEFqDUiMaM2qny8f9ZDyJ4B92irNj7oSVLjQdswsb90,1605 +torch/include/ATen/ops/reflection_pad1d_backward_cuda_dispatch.h,sha256=XJxhGgNrK7Ea3sjjUbObaOE0JfGBavX2-YIdWmky778,1607 +torch/include/ATen/ops/reflection_pad1d_backward_meta.h,sha256=BI403FwsbJXc2IigC0j_S-okXTtKbN8Kxi5jvIpgGJY,668 +torch/include/ATen/ops/reflection_pad1d_backward_meta_dispatch.h,sha256=Sn2aR1y1iboVxz0C1yEMw_MEbBHgxbSmLpbH2nb2KU0,1607 +torch/include/ATen/ops/reflection_pad1d_backward_native.h,sha256=lKGVDD5QAPUg2j-_YThrKgO6PXWKc7Oty8eQ_dgpxyE,992 +torch/include/ATen/ops/reflection_pad1d_backward_ops.h,sha256=KSxmevPRjZ7Mf-USkgIODc3x0E7jA_FhMN8NVmwTieA,2150 +torch/include/ATen/ops/reflection_pad1d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=I-LHGrJ1CA0q5q1062boCYDLfbpXVJZI8UOaU6uTUiE,925 +torch/include/ATen/ops/reflection_pad1d_cpu_dispatch.h,sha256=somMZblKAyhJAOaq6vDkT4EXtAlkptnsVJTCGty63sU,1331 +torch/include/ATen/ops/reflection_pad1d_cuda_dispatch.h,sha256=qN_8bcvpwSnl5FHYHY6rvhYWH6jFwCdgE9qUZ6wouX8,1333 +torch/include/ATen/ops/reflection_pad1d_meta.h,sha256=xBKVUZj1HkD12XF1HwkUIwYnE4QEiL5pdVZvzARjCL8,627 +torch/include/ATen/ops/reflection_pad1d_meta_dispatch.h,sha256=gDk3u5d3Vpmk6aQe6RYRor9MpXf7pdOk16znJlJ_1Vs,1333 +torch/include/ATen/ops/reflection_pad1d_native.h,sha256=sqwJzy_Xd6SYo9MRyjWdl2vftpY87PwjXPlXdLj8MV0,996 +torch/include/ATen/ops/reflection_pad1d_ops.h,sha256=36Wtp5jW9BA_j0AkbCRHj8qUTPaKdgUnHQ8_ZE0Jdog,1846 +torch/include/ATen/ops/reflection_pad2d.h,sha256=BBCbMluQCIWzhpvsYpkRylbT2dZKwrwhOREYTZrYOWY,3915 +torch/include/ATen/ops/reflection_pad2d_backward.h,sha256=aW3pzyeXIVwOA_NXL4aVfhTPwg9DugRODahweJrN90A,5078 +torch/include/ATen/ops/reflection_pad2d_backward_cpu_dispatch.h,sha256=lQOD4hAqcxjNFI8cd7OiPUPiUdkVbMqxXS2uK87-zsY,1605 +torch/include/ATen/ops/reflection_pad2d_backward_cuda_dispatch.h,sha256=T0fmRINLtZQdJLuUq1d7gxcDCZLBnlMqFgI-N-9GthQ,1607 +torch/include/ATen/ops/reflection_pad2d_backward_native.h,sha256=k3BhsRINY2E2ktojJkxJ7jCQCpp90MYRIuUKjLqXY_g,1033 +torch/include/ATen/ops/reflection_pad2d_backward_ops.h,sha256=eOLZvPMrO6LMXUtIn23e5DaAp4C7j47qI82WJxsmoAM,2150 +torch/include/ATen/ops/reflection_pad2d_cpu_dispatch.h,sha256=NP32RgPsJ-Bglx5Mttvg0DtuhJ4qJObeIkGnpj6gq3g,1331 +torch/include/ATen/ops/reflection_pad2d_cuda_dispatch.h,sha256=OwmJRckbc_C6BGuQlFzanUgBjT4Fs_ennbuQbyFAI6U,1333 +torch/include/ATen/ops/reflection_pad2d_native.h,sha256=4cBVaT-A9265qBmUxkiS471PVmPnp6e8XBisbSutGwc,958 +torch/include/ATen/ops/reflection_pad2d_ops.h,sha256=XeTv5_cln_R_jYoj-9hYsR5QnxJyrST9SIYwlePuQxk,1846 +torch/include/ATen/ops/reflection_pad3d.h,sha256=9Nsltzq792X0T2pkkpxVHGkME--RArTXx1aiFQ_HTjU,3915 +torch/include/ATen/ops/reflection_pad3d_backward.h,sha256=VKvRVA0Asth0lE_HfcCQpxJC64ta9idW3mFCjh52J4Q,5078 +torch/include/ATen/ops/reflection_pad3d_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=4wjSityiDuFqEswI5ejk4TVRUS9RTUZbI83xfeFBz2c,1007 +torch/include/ATen/ops/reflection_pad3d_backward_cpu_dispatch.h,sha256=WmwR_afgzOhcqnw07Xtu9ytsb08mhBSltOFRWRCes8E,1605 +torch/include/ATen/ops/reflection_pad3d_backward_cuda_dispatch.h,sha256=5VlhwkxKeUXDvUvHodhC7C7xcKMq12I0Ip2-2RnqPpc,1607 +torch/include/ATen/ops/reflection_pad3d_backward_meta.h,sha256=2s4FufWwZWVzcT5o2n5Abx1BEih1BL6tPxKK5vJm054,668 +torch/include/ATen/ops/reflection_pad3d_backward_meta_dispatch.h,sha256=mcyvHJqET-Iv8htPZmEkFXnOwsk0kv_OixcfQnNJmCQ,1607 +torch/include/ATen/ops/reflection_pad3d_backward_native.h,sha256=gv_mjbdYvz1Ovxf6l404-aQFgPhXDRqdFFcJKFB1SG0,992 +torch/include/ATen/ops/reflection_pad3d_backward_ops.h,sha256=J1YTb5byFpKN-GVlBBAFgtKrwjKHfnDnoG2Z4mp2_Yk,2150 +torch/include/ATen/ops/reflection_pad3d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=Gnd4ekIbrfW0akHtc0zCa7BqxprbYKmxlG8zLxyEvrU,925 +torch/include/ATen/ops/reflection_pad3d_cpu_dispatch.h,sha256=Mo-T70F9YhfSvxKOJBTLq9UbEqENR4LWREQy1t5BTX0,1331 +torch/include/ATen/ops/reflection_pad3d_cuda_dispatch.h,sha256=_UMYGJoet3_HdpKw8PE-zJUYOUXjFNVuT31B3wdS7Zw,1333 +torch/include/ATen/ops/reflection_pad3d_meta.h,sha256=gGy3EvFtzJPJuxpyxX2rgb81H3_258TmOJLVFEGxgRU,627 +torch/include/ATen/ops/reflection_pad3d_meta_dispatch.h,sha256=hVEo5ZqxmmKw-r1suerYQ4HmZ-BkcO5xxTJLE_W_Xvo,1333 +torch/include/ATen/ops/reflection_pad3d_native.h,sha256=PyqUYCcVrZfMZHpPr9nUD53ZHJ77ksAs4ZessPpyvzQ,869 +torch/include/ATen/ops/reflection_pad3d_ops.h,sha256=APQ0BhY7f5cQmYfdIcssu8RYGQ0k1UAKtXcdvxILwug,1846 +torch/include/ATen/ops/relu.h,sha256=_YplI4jrDQgeo6cOIfQDZUS7nwAIt_Oc2lcuHNKtFh0,1131 +torch/include/ATen/ops/relu6.h,sha256=_0EZr1NK_weq4j4sURSjeb_PBsE2yLQ-UKqk8sn6c9Y,760 +torch/include/ATen/ops/relu6_compositeimplicitautograd_dispatch.h,sha256=mBhJc4t_xtPNb7dz4fXdXV_hppGR07QdI9CPd_l9uPU,813 +torch/include/ATen/ops/relu6_native.h,sha256=AGDb9Lag4YDp4z0sASDn-awg-mHTiC5zSaIZWHdex_g,536 +torch/include/ATen/ops/relu6_ops.h,sha256=3lCkm_E-XlaKOj3UV2u4fhbowhRGGgat9lY6_wU9xi8,1493 +torch/include/ATen/ops/relu_compositeexplicitautograd_dispatch.h,sha256=HH80q0NpxEA3ZuNRMMYaMfXVV_aDQbSh_W9lhx7LKaI,863 +torch/include/ATen/ops/relu_cpu_dispatch.h,sha256=lVcL-OUvag-ZLkRP-kSHn9nf-vKxfJUAG3281XbBERg,767 +torch/include/ATen/ops/relu_cuda_dispatch.h,sha256=RUuu-YvFcSRRfugnoQS8ITtE3QMyk1TqT_7w35POrRA,769 +torch/include/ATen/ops/relu_meta_dispatch.h,sha256=bpW3LZOp4PQbvaFxEVHfg9Atzy7-bmPd0KM1Kipg1U8,717 +torch/include/ATen/ops/relu_native.h,sha256=ngtXPl_oswFk59pixLk9vj9kl44sBqIBbLhEXY7m9u8,1350 +torch/include/ATen/ops/relu_ops.h,sha256=dydIgLCn2SnQ6HaQV99rSBMWXnyH03nhUxmKVbse09w,2104 +torch/include/ATen/ops/remainder.h,sha256=IJuIxlRW2lNNFkl3hBCNRF1ajHEtUZ0rETX3TZUWkWw,2740 +torch/include/ATen/ops/remainder_compositeexplicitautograd_dispatch.h,sha256=2uzaypqoap8QoYtG7ImwiStZJQu1PdYCzDctZ_xZNps,1303 +torch/include/ATen/ops/remainder_compositeexplicitautogradnonfunctional_dispatch.h,sha256=zV24m3xE6UJDCRv3eSF3hojV_9JuNV-iHrY1rsxYOpk,899 +torch/include/ATen/ops/remainder_cpu_dispatch.h,sha256=8ySH5a0NLQt6y3Qmw5ZyMVzxjOgWv1rh3IfE-d-Y73s,1127 +torch/include/ATen/ops/remainder_cuda_dispatch.h,sha256=O9fSel-afEwEVp2jdg3MFkEwr1y9uXQJQ0_lOIna23A,1129 +torch/include/ATen/ops/remainder_meta.h,sha256=uOKJmfDXp6R-0cQ3F3_Jbx4Aa9wLOhyLj54TooRNgrs,622 +torch/include/ATen/ops/remainder_meta_dispatch.h,sha256=G8etek_LNqOEEGMnKEwaKKHWg5VEHaIdgU5EU1sW4Do,1046 +torch/include/ATen/ops/remainder_native.h,sha256=VmhYDOVQ95aYMC29ajm9a-9uhSxuCw1gZm-21wtTPDk,1123 +torch/include/ATen/ops/remainder_ops.h,sha256=g_1I-FI5ZtZvW0iYBW-dBmNK7uPt95_YB_I702zRprs,5931 +torch/include/ATen/ops/rename.h,sha256=AsR4-kWbNnbJWgQzRzLHoR_RAWHV8ptbap7kX0OG-xE,491 +torch/include/ATen/ops/rename_compositeimplicitautograd_dispatch.h,sha256=BHV2gTvU-vVe1plQC3eTOBDLNo1bMov1bOpImtU5sDc,891 +torch/include/ATen/ops/rename_native.h,sha256=dF6gkL2TnwAH7tPfVB8w6SeXKQgPl5qkocR-KwULngA,614 +torch/include/ATen/ops/rename_ops.h,sha256=DIPqcYQbJpUEVHk87MgSa4mvFGg7q-9aF5CVHKF8mwk,1757 +torch/include/ATen/ops/renorm.h,sha256=N3Vce4RYjWhjeVHf2xR4QJ-T3Co0LdvS4QmFxliCTlE,1360 +torch/include/ATen/ops/renorm_compositeexplicitautogradnonfunctional_dispatch.h,sha256=QgUBZ9SHYogr9rAbqVqalcWvcVUrSiiB-0hxxBhwnK4,967 +torch/include/ATen/ops/renorm_cpu_dispatch.h,sha256=se6xcBN5LSr4CTKp3cxDGSn0nsvWUqZwKT_TCEtbK4M,1180 +torch/include/ATen/ops/renorm_cuda_dispatch.h,sha256=Y1ZhbG5I9ia_oEqRUKlG0MdLeXIqh7ZCTTZ6virg-es,1182 +torch/include/ATen/ops/renorm_meta.h,sha256=eE0i8axRWA0GU63muCQIRwX2ByFd4m54XVUjbXQlwHk,649 +torch/include/ATen/ops/renorm_meta_dispatch.h,sha256=qIKDnf2I6fDc2c1bIfp5pCIEVnct3M1qw4-Om7rYQeE,1182 +torch/include/ATen/ops/renorm_native.h,sha256=FJorzVN8xGzY2yqHUHUgHwGWCY_WAm-zuc71d2DDRCc,670 +torch/include/ATen/ops/renorm_ops.h,sha256=fO_exIg7vWJFgMWtXHMr_zzOvdvt9bHM6sKNt7qgbRQ,2752 +torch/include/ATen/ops/repeat.h,sha256=mII3UwE00RPAjDOKZNHuD3-8DB0jLdYKReGEKVT-Gvs,3190 +torch/include/ATen/ops/repeat_compositeexplicitautograd_dispatch.h,sha256=oZMOkEWBjGt9qD_Qx4clQL9NOBrebKV_q9hIrsw6qXk,1315 +torch/include/ATen/ops/repeat_interleave.h,sha256=0Cg8OoLTdpzSj_qBJZXm7LX91oWyo-5JG9tM_cU_gJA,8172 +torch/include/ATen/ops/repeat_interleave_compositeexplicitautograd_dispatch.h,sha256=eo5lwDrG78a9XlMdSjUQduud1oJ2QDtPLyYmu9gcb68,1272 +torch/include/ATen/ops/repeat_interleave_compositeimplicitautograd_dispatch.h,sha256=txtlyalj-kMSM3JybaLfylOFjfMUlh60Acthzv8BoFM,1446 +torch/include/ATen/ops/repeat_interleave_cpu_dispatch.h,sha256=NxdDBR_00xomoWGTMwuPvO8VETcVV3oqmgjlwUY4xug,911 +torch/include/ATen/ops/repeat_interleave_cuda_dispatch.h,sha256=xpa3I2ggNdBsnWZ9hWTPx7__WlJxWYqSWG4D-AbhnFU,913 +torch/include/ATen/ops/repeat_interleave_native.h,sha256=rwinDRRtkWNRDtrU401UHwxqnmXLO791QXPYB6c_Qo4,1203 +torch/include/ATen/ops/repeat_interleave_ops.h,sha256=150znwkrQMYYmB1xstjLX40t34gG9099QiSKFN1wqG4,3806 +torch/include/ATen/ops/repeat_native.h,sha256=5nqHWhdxDzBRDbra5kjzlh-BmDCtfdSi9t7XRN4uCnA,626 +torch/include/ATen/ops/repeat_ops.h,sha256=_XVP-5j8S46-LAB_zi0IQ_zLKkJv_2Z0-d2nIxNmU_M,1784 +torch/include/ATen/ops/replication_pad1d.h,sha256=ldX21H3P06F0JsHLXhxoOxMAvizewv9U7rFAxbu4Ae0,3946 +torch/include/ATen/ops/replication_pad1d_backward.h,sha256=0dlOoWHBEckZiHFQyFaHcsceZuQLiHNoz4kmvJTbbIs,5109 +torch/include/ATen/ops/replication_pad1d_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=L6biPZEg7OKEe3480KDefz2QY3l9WcUe1SIXuwG0en4,1009 +torch/include/ATen/ops/replication_pad1d_backward_cpu_dispatch.h,sha256=A6bDpsVajw6tiaetLap2fzPNbeUVvtNdfhBvyCAhumc,1611 +torch/include/ATen/ops/replication_pad1d_backward_cuda_dispatch.h,sha256=ahQQ9MuOSif0-tqAdF6C6-Xwu8z6erqEQRqE6pDUxT4,1613 +torch/include/ATen/ops/replication_pad1d_backward_meta.h,sha256=6-LbdXI5xK4TsiG-X66KxrO7uamquKboQQ-RZ-xlcd8,669 +torch/include/ATen/ops/replication_pad1d_backward_meta_dispatch.h,sha256=F_mHlFTrWkGe_deWecmju_tFrQm26x_Q4WuE-RcWMcI,1613 +torch/include/ATen/ops/replication_pad1d_backward_native.h,sha256=sKB3Tbw1dtLa5BwEKHVpEL2ySjIA6trlzOpYurEa2ok,997 +torch/include/ATen/ops/replication_pad1d_backward_ops.h,sha256=r59dd4n1UfHuvjawi3XiJPi9JACZlWQUZES-VHrAaBw,2156 +torch/include/ATen/ops/replication_pad1d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=z56ajy0Aga2UO2SPvQlo-jjMX0pt2HW37Par8tp55p0,927 +torch/include/ATen/ops/replication_pad1d_cpu_dispatch.h,sha256=3eaq6-Ei0_egbV6rj6y49GtHamE9cQ0_rZ-15UfwqGs,1337 +torch/include/ATen/ops/replication_pad1d_cuda_dispatch.h,sha256=8dnyHc6crRC3hb5xMtWecXawiQNXvzYYvmoWSwdHQtI,1339 +torch/include/ATen/ops/replication_pad1d_meta.h,sha256=nJ69PMTGUbVzvF1Dvtq2HTwwhHXsrXdnX5y930vjAiE,628 +torch/include/ATen/ops/replication_pad1d_meta_dispatch.h,sha256=6FzzCkI2IXLRKvEHlpJWJ6jiU3JNdQ1kw3nwZuZySL8,1339 +torch/include/ATen/ops/replication_pad1d_native.h,sha256=WkPndcOMrxqva7ctTB_LszcPG2Mr_4B1NT5LHkUNj9Y,874 +torch/include/ATen/ops/replication_pad1d_ops.h,sha256=YLT28TOwKDXsqAWk0t9woPCh4lBLXU1uiVPurSh9pbs,1852 +torch/include/ATen/ops/replication_pad2d.h,sha256=oId55xCaOjVrGFnk-KsQtyE-nHOrB10wz4uFdS9zl-8,3946 +torch/include/ATen/ops/replication_pad2d_backward.h,sha256=W13ImxR2_J2vJo8g_SYDFjTakLWwrtaGooZvXzoQVWI,5109 +torch/include/ATen/ops/replication_pad2d_backward_cpu_dispatch.h,sha256=wzmv9ZtGaU4aaGXboHPSbXSWJ-oDvTXN1o8CIXr7Ps8,1611 +torch/include/ATen/ops/replication_pad2d_backward_cuda_dispatch.h,sha256=oXbBRAtGaUob0EZEhlf0PP-1uaT8Pi6wBOCA9waB7eM,1613 +torch/include/ATen/ops/replication_pad2d_backward_native.h,sha256=jN7C7k2XeDhNd__wjr0jriy8Tks5C849idBy6rG-d30,1037 +torch/include/ATen/ops/replication_pad2d_backward_ops.h,sha256=cKzfaTSm-KRPCF4ux3En58dXyTwzjDCJrqrGssP0C6c,2156 +torch/include/ATen/ops/replication_pad2d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=sSktEXd7PLFY9LUgT2KHGwtDLCMaQAtz-1mjKZHnIBY,927 +torch/include/ATen/ops/replication_pad2d_cpu_dispatch.h,sha256=pQEZB3EbhRcGZYqCajmWBt2YuOLWTpRCThvRiZpc29w,1337 +torch/include/ATen/ops/replication_pad2d_cuda_dispatch.h,sha256=L3xgS_4AWITvrfLUJdcZxWmZioirL7CQibs9tvY4a78,1339 +torch/include/ATen/ops/replication_pad2d_meta.h,sha256=TsxG64kTWc9Lew2OHL49Oz_e1NP89o9QKO6-lWgN0NY,628 +torch/include/ATen/ops/replication_pad2d_meta_dispatch.h,sha256=Ie6ig5u5_MoxPeD-NQt8H8v2ut2-YWOx3H7ZsOeEk4c,1339 +torch/include/ATen/ops/replication_pad2d_native.h,sha256=H5rsWy-0hOwhf7YtM3glu6QOrgjmyF-6ruvbU-m1iFk,874 +torch/include/ATen/ops/replication_pad2d_ops.h,sha256=5bMRqrc1YCSUQmYhu-I2ZEERCSk1xDK_iUPovhShMeE,1852 +torch/include/ATen/ops/replication_pad3d.h,sha256=4hX_UAnP4Q5Lybwek_isig1KCLuDKzbH9N1qCALoF2g,3946 +torch/include/ATen/ops/replication_pad3d_backward.h,sha256=AoeoABoqtaObT_Ui3KcHG987QnAaj89bWGpAHGlMoeU,5109 +torch/include/ATen/ops/replication_pad3d_backward_cpu_dispatch.h,sha256=bvIfvjnpNuI_TkU23qn-AbZHVZZib23cm2_xt3ApOsc,1611 +torch/include/ATen/ops/replication_pad3d_backward_cuda_dispatch.h,sha256=TzedmNakDu0AkJ7a77-VfPwdcUqo2xEUdGvELmhNplw,1613 +torch/include/ATen/ops/replication_pad3d_backward_native.h,sha256=ahEvrrNbEJSVe933kZSuciZ_iAgq2Mz2k0Tw-j6paeo,1037 +torch/include/ATen/ops/replication_pad3d_backward_ops.h,sha256=zw3wioKfamsbEtFHtqK0Dhqf9ezy96MXvPckzcJiEsc,2156 +torch/include/ATen/ops/replication_pad3d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=Tt8HnZ1OC0jx1MfKp5lUvHk1hWV66M2oX5x7I3ZnLhE,927 +torch/include/ATen/ops/replication_pad3d_cpu_dispatch.h,sha256=HGjUgC8LJ5hKGdIgBS7pQAaOZrzREHXkSpCKpBZJXGw,1337 +torch/include/ATen/ops/replication_pad3d_cuda_dispatch.h,sha256=VXym5ajSji7nIF1jj3H6KV9wf_FD9dPd3pqrZbtCODI,1339 +torch/include/ATen/ops/replication_pad3d_meta.h,sha256=jkKOBpFNTKkbzyA7u3kdyN2t4BSXyoUo62qaew09wfM,628 +torch/include/ATen/ops/replication_pad3d_meta_dispatch.h,sha256=WXwFp4CDgoWvUZudaQl9SYrKZGU9kOTaLDTHVnl0RVk,1339 +torch/include/ATen/ops/replication_pad3d_native.h,sha256=7rhvfsv_ef1nvvYI3duirOLp6OhuME1buUuLr_2ptng,874 +torch/include/ATen/ops/replication_pad3d_ops.h,sha256=L58AO4phGQB0GdZIX637xZstI1uyMNNfZphvWhb6m6Y,1852 +torch/include/ATen/ops/requires_grad.h,sha256=YVo46-GbnKLJUecRP_5pxjz7xm_3Bkw8xD8tT1BO83Q,498 +torch/include/ATen/ops/requires_grad_compositeimplicitautograd_dispatch.h,sha256=JY3EEmTP0X6TiuKaZCpOJysT1agi5ePx5XIq_3MkpHE,793 +torch/include/ATen/ops/requires_grad_native.h,sha256=GERj89OYm0JKaFALI9zCt9BcXrg7oimJ_HNN_OM9yA0,516 +torch/include/ATen/ops/requires_grad_ops.h,sha256=0tIFfJ8-zC8aK9ofyi-XhGM624w8X350a-IPyZOZidQ,1058 +torch/include/ATen/ops/reshape.h,sha256=Ghs6djGLvSumFtxB4PrgHZpggX0PexbKQDIo892quh8,1404 +torch/include/ATen/ops/reshape_as.h,sha256=E4FgFK-jIJLn6g3gclrJwZWUzmyAlQpWQi67BA7LHAw,495 +torch/include/ATen/ops/reshape_as_compositeimplicitautograd_dispatch.h,sha256=tLZKaKQ_EQR_ZMb4h_tmwgqgLDQErSDqS2dEjiqB7Hk,794 +torch/include/ATen/ops/reshape_as_compositeimplicitautogradnestedtensor_dispatch.h,sha256=LZQ44sFn2Y7mmwqFH2GUsHn3oylyRhRT2N7t-7JlUEA,818 +torch/include/ATen/ops/reshape_as_native.h,sha256=ZkizhnQudLXThQt3LJGOD06aOu9k0zVv5JJ-YRYI3js,608 +torch/include/ATen/ops/reshape_as_ops.h,sha256=52WRH7KB3aiEdtQBqT9Tu_iFvnD04NYv9ANO2Lshf_k,1071 +torch/include/ATen/ops/reshape_compositeimplicitautograd_dispatch.h,sha256=EvhmAAjIA54gEVG3l-J8cdGrfHYsaC1AGh2FfV5AB10,877 +torch/include/ATen/ops/reshape_compositeimplicitautogradnestedtensor_dispatch.h,sha256=HigwPxjHEUwWEkIgGmQAH_xX2iYk_03CITv6UIQGKSI,901 +torch/include/ATen/ops/reshape_native.h,sha256=43M8PoGDNCCjsqVWUIrhIq9jOzFG1B90vm0IlGUTBV4,607 +torch/include/ATen/ops/reshape_ops.h,sha256=ZNDgMIWM1vs2PSw5OpJ6ZIzbm1b0SFD6GBJo-uH8uPo,1067 +torch/include/ATen/ops/resize.h,sha256=9g1fAMstganYFn3aFPOFNI5Fa44i4Qyn44thPvB9aQw,5323 +torch/include/ATen/ops/resize_as.h,sha256=C9o5e1XSap5SHfwD5JyuE6UXHqgfb8IzSWlMM2YEq0A,1933 +torch/include/ATen/ops/resize_as_compositeexplicitautograd_dispatch.h,sha256=ovDJms9zS9i3Tf3pF7-aaOPD47228wWZg1Ofsai8eZc,1379 +torch/include/ATen/ops/resize_as_native.h,sha256=jZPHMvHjNh23EZpz6eJOhgtKKwEFN04Xz9kjw_Yjzac,915 +torch/include/ATen/ops/resize_as_ops.h,sha256=1fyy6B3Ljo0a9xMhX-T-p2GJLjIRX2WA65lS_yeXUQQ,3031 +torch/include/ATen/ops/resize_as_sparse.h,sha256=nh4Xtn0GiQzQ4jitRJBhg6oNEHLWnIVk609FEBEmKkk,1595 +torch/include/ATen/ops/resize_as_sparse_compositeexplicitautograd_dispatch.h,sha256=QwJHx9R70LFmcTuKjLcFref0C94ZIafpD3UitdUo7bs,1074 +torch/include/ATen/ops/resize_as_sparse_meta_dispatch.h,sha256=1zzp20-5piFKDb5bpBXioZ3nBFFsPNifSErixgvrOhM,774 +torch/include/ATen/ops/resize_as_sparse_native.h,sha256=hqpwVOOnkq-DbI_4VxWulO2sDWvDPMborgypVckDCfw,886 +torch/include/ATen/ops/resize_as_sparse_ops.h,sha256=iq1VQBvyKpiNa-sUjutWN4KQnMfTixLdQWIPbAXwE1Y,2605 +torch/include/ATen/ops/resize_compositeexplicitautograd_dispatch.h,sha256=-iEKo2qymhBZZreceOJ0Mzs4wygQ5qkJ89cpQnMGwzw,1679 +torch/include/ATen/ops/resize_cpu_dispatch.h,sha256=c_PI4bu0NQAdDIhsFx_jfHkIXqZBavmIruIbOpI9aIY,967 +torch/include/ATen/ops/resize_cuda_dispatch.h,sha256=43JX4xu4wUzmdIWm1ndjfrVkvdtPefaMygNn7KGM30g,969 +torch/include/ATen/ops/resize_meta_dispatch.h,sha256=9sxV4lSNc9ijKN_gGbfTrxw-42TqJoNGP2BE720xyqo,969 +torch/include/ATen/ops/resize_native.h,sha256=Jy1xSwHK31QtH31xlhpsqaN4zY5BUpdctMmoPBV5wKA,1516 +torch/include/ATen/ops/resize_ops.h,sha256=enGokcaO_seOpcq0WQ0ZaTl0q-xNPYt8gBe7XScTcm8,2947 +torch/include/ATen/ops/resolve_conj.h,sha256=VrO7dc9FvfWMAcGu5AFWSEA4kMRAmIXZUCC9i_Bk8CQ,655 +torch/include/ATen/ops/resolve_conj_compositeimplicitautograd_dispatch.h,sha256=ZmkYQAlc3Apqab1QViSQ1RMQddMmlr51mmOZTGNrwlQ,770 +torch/include/ATen/ops/resolve_conj_native.h,sha256=ZYCiEFrprXERrXgX0j2rH5pS9HOL99EdjJ9TJkBY4xU,493 +torch/include/ATen/ops/resolve_conj_ops.h,sha256=jTmFjOO071P9mMZUoAKJaXBF2sJi4evjvmz-qiAHth8,991 +torch/include/ATen/ops/resolve_neg.h,sha256=o35xOicoc4Uiql_E2SY1BZ-1RI8Yysq8PHZPxQyAnH8,651 +torch/include/ATen/ops/resolve_neg_compositeimplicitautograd_dispatch.h,sha256=11SrCruZeI90vY4Qwnsbj2XCnobYFpqT8xMbscyXtN4,769 +torch/include/ATen/ops/resolve_neg_native.h,sha256=ZNdLAjAViL95jN4RvIp2ZFkgeJ4ZNCnqsCaJzCAb9OQ,492 +torch/include/ATen/ops/resolve_neg_ops.h,sha256=TrfhdG6oYhYPma8CYIkIE2b4YLs39q7ZWEwWqEeugoE,988 +torch/include/ATen/ops/result_type.h,sha256=Jb2JLFLZB55NWBASHSKpv0T1QANIOtFMFDxqwKA4z4E,1435 +torch/include/ATen/ops/result_type_compositeimplicitautograd_dispatch.h,sha256=khmrnKFhxJ1uBKU8OMoPD_OStz5DA0jWhmlVpVRmW3o,1078 +torch/include/ATen/ops/result_type_native.h,sha256=f4qUVrQj0oOJR9QC7aVXEuv9TmbzdF3Lebu3Axw6qZc,801 +torch/include/ATen/ops/result_type_ops.h,sha256=eX62eU_u8qSg2j7kf1qQU2bqfIrtsO1Jm_JkIrwf0Ls,3192 +torch/include/ATen/ops/retain_grad.h,sha256=MK85h3jw0duLClh_2FiEhBt0qftCyx5r6WVEsYCiugo,496 +torch/include/ATen/ops/retain_grad_compositeimplicitautograd_dispatch.h,sha256=w1VMAh6zxvN6UsSRj3UtI-EgSKIZL4YgC0zX4olW7_E,757 +torch/include/ATen/ops/retain_grad_native.h,sha256=s78OeTJE-dCoJSNKNFDKe5Prm6YlDncBdgHWIGb9owI,480 +torch/include/ATen/ops/retain_grad_ops.h,sha256=ljyXOOHWHCJ4OqecmND5Q8AitaSvaYee_LE45LxcnlE,946 +torch/include/ATen/ops/retains_grad.h,sha256=JDT9iSYMdLJfIt6-SGk0DYWXFz9JMF4WIZJ-JK0AklE,497 +torch/include/ATen/ops/retains_grad_compositeimplicitautograd_dispatch.h,sha256=enUUiMkfZIH4mlTJNtUccCS-MentCylWDuXCVRaw-04,764 +torch/include/ATen/ops/retains_grad_native.h,sha256=aNDuhq4tMq5V_X7sSvwGY7eVqYu7gYmH_X8APwY791c,487 +torch/include/ATen/ops/retains_grad_ops.h,sha256=6X3W075uEX5zsQKkH3beA9nsSNkbpBSwUdk4jRbbi20,965 +torch/include/ATen/ops/rnn_relu.h,sha256=ET3bK0xQpk_Lm2FkFaGf3NPvFhiuhWN4SamNOwoMhUA,1595 +torch/include/ATen/ops/rnn_relu_cell.h,sha256=mmuEbRJV__VfEOl7_03qg0tQhQWGT8_2NIvRq4NQ8WM,918 +torch/include/ATen/ops/rnn_relu_cell_compositeimplicitautograd_dispatch.h,sha256=gBC7vX3tO8ADWBIIddI7CdhV7k9TLDLPsARSgT7ot1k,931 +torch/include/ATen/ops/rnn_relu_cell_native.h,sha256=LewrvtABDdisY-Shu-J-oaF6TITD34wx99SjmnzKM6c,654 +torch/include/ATen/ops/rnn_relu_cell_ops.h,sha256=3n1QeEuw9R-3XeQqVz_YT_zzCnSFVRHKVcrhbHT00f0,1502 +torch/include/ATen/ops/rnn_relu_compositeimplicitautograd_dispatch.h,sha256=vvp8xf-n-jkfmnmc-H19KrWJtAgSauCP9LG0-svyghI,1185 +torch/include/ATen/ops/rnn_relu_native.h,sha256=BNUbKliR3h2VwZnQEs1ZdNnVPEO1tdyivF1aCcANOAY,908 +torch/include/ATen/ops/rnn_relu_ops.h,sha256=J6LwPVOZ1pgHnVmIIzZEn__8LfEvP_KL8eCOUIuByA4,2762 +torch/include/ATen/ops/rnn_tanh.h,sha256=-2QIQj4muaeZSBaOACgiTTVSt_XBuL_17TSle1xj_hI,1595 +torch/include/ATen/ops/rnn_tanh_cell.h,sha256=YgjnKYiMfM3F9ExiJ_NgDphYxbogz_CEsDwauJnuzws,918 +torch/include/ATen/ops/rnn_tanh_cell_compositeimplicitautograd_dispatch.h,sha256=SrSIlwQSZcQk1vgbOd_MOFSJgAceT3zs88qkA-wLhqE,931 +torch/include/ATen/ops/rnn_tanh_cell_native.h,sha256=khL_kkGOG35zWvenZ1IGebU1rdYO078QbZja5PNdMu8,654 +torch/include/ATen/ops/rnn_tanh_cell_ops.h,sha256=MR47mm8r5FuHZwbfJSlV7RNg8BslNxUnilQMtmlaLxs,1502 +torch/include/ATen/ops/rnn_tanh_compositeimplicitautograd_dispatch.h,sha256=ZuKpLpwAz0scQRX62m2bFRa7s_Y-JhYpRMrMiZC7fEU,1185 +torch/include/ATen/ops/rnn_tanh_native.h,sha256=6vxTSJ5Ep0275xmlVOQH-iJF13hgIGXROg93kyWuf2s,908 +torch/include/ATen/ops/rnn_tanh_ops.h,sha256=IL50LlyvfkRGYvNqcfdpGLZRThTcodIRIqkyyJsFgsk,2762 +torch/include/ATen/ops/roll.h,sha256=k4y7Mo-VCE4V3CxsUm07fKzTaLDdGoe3g58wGFwo7B8,3969 +torch/include/ATen/ops/roll_compositeexplicitautograd_dispatch.h,sha256=hBh_kkbiLd0M90PjUNrEYzzrjjJvWGihDHqs2kl6Q4Q,1228 +torch/include/ATen/ops/roll_cpu_dispatch.h,sha256=axXRlKC24d29HC0DBLbjdbS34lrRZu-qBSMktf0hkZY,879 +torch/include/ATen/ops/roll_cuda_dispatch.h,sha256=3dpd8y2z6ed-KRLK4ZIbB8waA2n6wzilPdNOzgZij1g,881 +torch/include/ATen/ops/roll_native.h,sha256=I7OCb1cMr0BVDEhI3WYNg3WTToIB7YEirOnIwUubpno,773 +torch/include/ATen/ops/roll_ops.h,sha256=nlXnJXlLiNaSDtWvaMF-akUD0oRnVlkz5wSVyxCij9I,1922 +torch/include/ATen/ops/rot90.h,sha256=mbDA2pEcX4SpgNSyxxxavIlMKyHadRXJUPbmKUghgDM,1228 +torch/include/ATen/ops/rot90_compositeexplicitautograd_dispatch.h,sha256=GFYfZF7RcVShlT_17llI56R8iu2nmXXoqIl5Ba6iKYc,1033 +torch/include/ATen/ops/rot90_native.h,sha256=81RZ_-evoDZbpcxDaHq4uUXYQxVroEAZnnD1EgryqlA,637 +torch/include/ATen/ops/rot90_ops.h,sha256=J6g0A1czyUqj8hIQnHqzbzv5JyW4iNzsH5ENLy4OB7s,1822 +torch/include/ATen/ops/round.h,sha256=NObZb7SduTgCXSqkOdyRZ2WsVD-7wQgM_O_TUYU5Js8,2045 +torch/include/ATen/ops/round_compositeexplicitautogradnonfunctional_dispatch.h,sha256=0V2NnobNWh0sQL1wHRn2TTH4zA3CTepuaCUn6y97NeM,978 +torch/include/ATen/ops/round_cpu_dispatch.h,sha256=vOTwuJ8VF-z9QHhiAnvAF6Q-XMY3FXZ4qz82uwVcj4g,1254 +torch/include/ATen/ops/round_cuda_dispatch.h,sha256=Cuvv4uKSE5Mp4QG_WozfoKgIJUrsnM3TKH6ybMZz-9o,1256 +torch/include/ATen/ops/round_meta.h,sha256=BhrA1575x0W67e7oA4Nyeo3RK_jURooOok1mtcrFNAQ,729 +torch/include/ATen/ops/round_meta_dispatch.h,sha256=SMBB9WAFYFPk8LF8UOJuWZCWtjDvsJyww0jMRYRSiPU,1256 +torch/include/ATen/ops/round_native.h,sha256=pfmvWLcbWbx0k1-uTqAOaZu17JgOFf6cznPQ5KDPpzw,1193 +torch/include/ATen/ops/round_ops.h,sha256=6hMB-on4Yit20s9lDRKHrNxY6BhKsP2YWuv6EsgkOWY,4054 +torch/include/ATen/ops/row_indices.h,sha256=9TrGbVWFhaYtwK7hjSJ5oCeiCIcaoB9nmryv1E2n5Sw,496 +torch/include/ATen/ops/row_indices_compositeexplicitautograd_dispatch.h,sha256=XRkeOOlfX0uG6In8T9KWjC1NzlrLAiT44gKXzuYmlIc,769 +torch/include/ATen/ops/row_indices_copy.h,sha256=lif8YSVgIeNgMF2OAmLrjRwBCvyQqCnEfZTReg7ecEs,1115 +torch/include/ATen/ops/row_indices_copy_compositeexplicitautograd_dispatch.h,sha256=dG-jU5bOeKZfsSoHa-IfF5QpatQOwe7wi3pV0ue4_7c,887 +torch/include/ATen/ops/row_indices_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=774cIYq8ig8CUXei9RCUIpVv02qOBZIdZH3SPDj6aJc,800 +torch/include/ATen/ops/row_indices_copy_native.h,sha256=ih-eJdVCczzwmZzb3yp50PR7xlVQCNc-YfaxZa5xBT4,585 +torch/include/ATen/ops/row_indices_copy_ops.h,sha256=Qxlj6JBm4omJYK1CX8At7hfV1lA7TraxMZb-GwBbapM,1650 +torch/include/ATen/ops/row_indices_native.h,sha256=cmlAKXYM0A5bFrq1YZiaeE7GSwJq7WP5ts9sgUr0g4A,570 +torch/include/ATen/ops/row_indices_ops.h,sha256=LujL-zl07NCnNbMFftiN5FqwRLMSXyrkwhnyBt8cPMs,988 +torch/include/ATen/ops/row_stack.h,sha256=o35sFRPqKUwWDP7CVphJg-gtKgG80d2LtCKkJngoat0,1066 +torch/include/ATen/ops/row_stack_compositeimplicitautograd_dispatch.h,sha256=-TXconVBv4tdpJS53iuXvkOfIA0caAzUdeWWM9YDCXo,927 +torch/include/ATen/ops/row_stack_native.h,sha256=iCOenGF1fXFuwA4Cr1xpK01_Cvi__uCsfzcZX5dvKT8,569 +torch/include/ATen/ops/row_stack_ops.h,sha256=_vTJsAbqZq7QCYTy_l2zuzycUBtly5YohLqoHzMelQU,1606 +torch/include/ATen/ops/rrelu.h,sha256=Nmt3gogOaynMeK2ZIC2BdUa6h9V6UjOQhjCwNB5PWT4,1334 +torch/include/ATen/ops/rrelu_compositeimplicitautograd_dispatch.h,sha256=A5lmJJbuFiEnwXW5HoSxb5mLkEK5T9t5T0WJMcRn99g,1115 +torch/include/ATen/ops/rrelu_native.h,sha256=nNZxxmoJQeikxJvxWtZpZSO7HU5qPCsyTbNx7KWAvJk,838 +torch/include/ATen/ops/rrelu_ops.h,sha256=x80lpPZY4GLx_1lMwL3IopUxHfKkpQMIoC5S8oqonHY,2275 +torch/include/ATen/ops/rrelu_with_noise.h,sha256=KwntCeuQY0jSRwLdK9ZrU8fx1r6Sm7kc0Jw-4n2VJ7g,2579 +torch/include/ATen/ops/rrelu_with_noise_backward.h,sha256=z9ADges4AShZbR4jKN8w1gMRrNTY84pKIWsq6EHTey4,2117 +torch/include/ATen/ops/rrelu_with_noise_backward_compositeexplicitautograd_dispatch.h,sha256=uD68SYGhj86gXjXrfyu3f2towXP0Ya01yLDUj_E_gXU,1416 +torch/include/ATen/ops/rrelu_with_noise_backward_native.h,sha256=GFJfEU7LVywd4GZksYm7tZoJeCggkPkqXa1MYxAHrYs,895 +torch/include/ATen/ops/rrelu_with_noise_backward_ops.h,sha256=XcOxEn-MX1Cfi9m-x9w43ITEGgIM_dZck8q2wsIvIT0,2668 +torch/include/ATen/ops/rrelu_with_noise_cpu_dispatch.h,sha256=-5FtgXImmMyStv3lncXc9jjHLHBf2GL7D7vziSU0L0Y,1632 +torch/include/ATen/ops/rrelu_with_noise_cuda_dispatch.h,sha256=3nH27ZlLbA0EVGOEIBghHCaObgC1AbsguQk1l1TL-Y4,1634 +torch/include/ATen/ops/rrelu_with_noise_meta_dispatch.h,sha256=zVKap_tV9XIEgUg80VlpxZEIpP7zjH5Xap1LKLFncSM,906 +torch/include/ATen/ops/rrelu_with_noise_native.h,sha256=kkHSgvCdlwjIi7O_R4UdDHgemckaKSCItRk_Ygmcl3k,1860 +torch/include/ATen/ops/rrelu_with_noise_ops.h,sha256=i1eb_vR-1gbGXHCIoM7o7vvMxjomJftsAhQLTlXuts8,3643 +torch/include/ATen/ops/rshift.h,sha256=dacO-h6BWoPInYYjUJTokk-m-gJFicI8jwj7ee-hFYQ,1978 +torch/include/ATen/ops/rshift_compositeexplicitautograd_dispatch.h,sha256=MWeyIz9AL6i9msqCJ241dd9oz5P-cxSURc4eXaCcdpc,1144 +torch/include/ATen/ops/rshift_cpu_dispatch.h,sha256=j6s6RFQr6206UMOSBz36xXrtNyzTZrI9YMZ5J54-jdY,996 +torch/include/ATen/ops/rshift_cuda_dispatch.h,sha256=Xf3yEHw8BYpQjKTedmLqTrXiUtydmtCNvhRb7Xi2was,998 +torch/include/ATen/ops/rshift_meta_dispatch.h,sha256=yaz-qqIvrJamkQNjxL8_MvNMUqM6-c2TAAL_vjKvG_E,830 +torch/include/ATen/ops/rshift_native.h,sha256=Z2lm8c_JThLDaqmTuw-oO19GUdROo8uP9a6Rl4iDI20,993 +torch/include/ATen/ops/rshift_ops.h,sha256=H1W93noOghP6stSWJzD6xlFjt0dhefH1uSZZXE_MTVM,4520 +torch/include/ATen/ops/rsqrt.h,sha256=3dR9HRXVStyKZJsgPfneDWh6tzjAbvnXdy2ucsJ15c8,1144 +torch/include/ATen/ops/rsqrt_compositeexplicitautogradnonfunctional_dispatch.h,sha256=fh3O5dkf6iLgqhP6Ka-pYX46GXAm6TZKasT8Wm7YaV0,839 +torch/include/ATen/ops/rsqrt_cpu_dispatch.h,sha256=ghHcwbzWagekZD7IWJrawN9nnqjLtT8fzj7mkwZXPtU,924 +torch/include/ATen/ops/rsqrt_cuda_dispatch.h,sha256=4cXGR1hqEhhL9F0LCgmL5LTGCVYA8JIUcD-e-kkZfX8,926 +torch/include/ATen/ops/rsqrt_meta.h,sha256=x02rdybJvXmpyWrS2ZHHKj4Pa2mMvTZqQkWwta3PC1A,585 +torch/include/ATen/ops/rsqrt_meta_dispatch.h,sha256=v-B-lt4IrnhGaVcmfiXJDbooi6DBtl7ML7CFulA3rl0,926 +torch/include/ATen/ops/rsqrt_native.h,sha256=irTP_j1JoS-bPXPdHNOOoZkQ6rdIHn8gXmerGFwBcOY,604 +torch/include/ATen/ops/rsqrt_ops.h,sha256=wGXLWI-dBhOiDmN0vrFpZWmQXWnhCu68tI-bsB5PWZU,2113 +torch/include/ATen/ops/rsub.h,sha256=W0ye_w20elN1y0KT7b8y0bh6lQDHc3X58Frpm5WKEYo,2173 +torch/include/ATen/ops/rsub_compositeexplicitautograd_dispatch.h,sha256=GRZhj4F30Cf_B3pdhBnM88rAgEkKR-psUEn9RUn3Ux0,1334 +torch/include/ATen/ops/rsub_cpu_dispatch.h,sha256=VNc_G6174WTu0bOkSc4fObglbM5NPVZActMqQ4E83j4,772 +torch/include/ATen/ops/rsub_cuda_dispatch.h,sha256=zD99Ts02VA4iOECeHpHlCP3DCOT95NobE0N_HuA_YdE,774 +torch/include/ATen/ops/rsub_native.h,sha256=vMxCVmZYOOE-05pvLSj-ZCKMdEn26C4o5apnU_ksaRo,915 +torch/include/ATen/ops/rsub_ops.h,sha256=NXAFxwn8-EmaLtZbX2A8hvfRw_jKHDH642QhCzgTYHM,3503 +torch/include/ATen/ops/scalar_tensor.h,sha256=Y-Is5PitTXH4EWxnAEd-cFXRxa0tAWmSH2Ev-NqbrTc,1709 +torch/include/ATen/ops/scalar_tensor_compositeexplicitautograd_dispatch.h,sha256=VxgnhEajcNPdawlfPiU5rQDuBlpE4zE3Mqu1CjGTs-E,1158 +torch/include/ATen/ops/scalar_tensor_native.h,sha256=G0Fo0kAfWJ6KTEdacE9fHHEB6mIe-FUhOXEo45fK0Ok,722 +torch/include/ATen/ops/scalar_tensor_ops.h,sha256=7ngp7YEQ3xTp0H8k99vBobk7H4Rn_AMbgen9ogE2UBI,2086 +torch/include/ATen/ops/scaled_dot_product_attention.h,sha256=XcIVW9Sa6qjRAX_bKgEbT9JO1zqIaExK-Kqf_ZoNJgA,1067 +torch/include/ATen/ops/scaled_dot_product_attention_compositeimplicitautograd_dispatch.h,sha256=NzgHSpdF9uMGzf-fWHrTo6IjmrDcXh4y3c_6ZVXsPQk,971 +torch/include/ATen/ops/scaled_dot_product_attention_native.h,sha256=bNCoRhPgLjuboYlydIN3l-r3PUvmkM6kFpTwLBJu4sM,694 +torch/include/ATen/ops/scaled_dot_product_attention_ops.h,sha256=THKtMQwNywwEa6pje3UFYA0s-uJ7u-R7vcs9_ztr9mQ,1579 +torch/include/ATen/ops/scatter.h,sha256=7ATZ-Bjj3qJQe3iQdBMVLunYAuHrYt5m_mpC5snfB8s,5079 +torch/include/ATen/ops/scatter_add.h,sha256=ex23VGhOKm9lniR-oj2dAxesYIBMC3GRDZVYRGe8S3Y,1699 +torch/include/ATen/ops/scatter_add_compositeexplicitautogradnonfunctional_dispatch.h,sha256=m9ZRGQ5-e9ted2n75uGyI8pQyj2r8YvnhZJppfisSQI,977 +torch/include/ATen/ops/scatter_add_compositeimplicitautograd_dispatch.h,sha256=kTHxoN40Eqy0DWatvfY4OnbMZbDD2yzNMeZu4PQ5QQ4,836 +torch/include/ATen/ops/scatter_add_cpu_dispatch.h,sha256=NqBR0dGWODpIP4jns2Zg2AnCe7hAA5yTd9rhi3GuB2o,1200 +torch/include/ATen/ops/scatter_add_cuda_dispatch.h,sha256=NQ_hwDwRJBFMfhsySHaJKXbqR4scjgiJRAxk924FQWk,1202 +torch/include/ATen/ops/scatter_add_meta.h,sha256=yKtPsEHmDiqdqgaY9fgQH6iEP9dRgWz61keOJwe24R8,654 +torch/include/ATen/ops/scatter_add_meta_dispatch.h,sha256=N4qbckPkeQqmGDmZQKkifoYx3lP0ngyFGI6_LnnVoCY,1202 +torch/include/ATen/ops/scatter_add_native.h,sha256=bBwFhrMj-Zh1Yy86_v62ZrqBsyOYxoRTeuce_qCCpDw,807 +torch/include/ATen/ops/scatter_add_ops.h,sha256=BS-haug73qaPcCM3hUXYShzK2VgdqNZUf6P2OtjW1yE,3594 +torch/include/ATen/ops/scatter_compositeexplicitautogradnonfunctional_dispatch.h,sha256=oSWi6DoH_X37iafenDTcv72XwWPPONYMrDAWq2aw3cY,1776 +torch/include/ATen/ops/scatter_compositeimplicitautograd_dispatch.h,sha256=-XLZyuVGdwe61bYI2MnKM7SIFi68L9OyUxSXfJ2jWUo,956 +torch/include/ATen/ops/scatter_cpu_dispatch.h,sha256=5QwX_CejBN6WsbaOCFZwe306aR6jItzF1Nx0c5zM7U4,2954 +torch/include/ATen/ops/scatter_cuda_dispatch.h,sha256=Xid702LdxbTSPhBydoFnBULtsdy2rfEjeObx7UmGLtw,2956 +torch/include/ATen/ops/scatter_meta.h,sha256=8lKzCsP6W7M6oZ69rm7OyFXd0bed9ZVfqN-54SAAp68,1280 +torch/include/ATen/ops/scatter_meta_dispatch.h,sha256=9ztDwGQFf1ZSEdOgBRVd1kZ83TzTIAGx5yUBuUPtkEk,2956 +torch/include/ATen/ops/scatter_native.h,sha256=TUFEewWCClvrGt3LLy4H4a6BJy57x-QpCw-WZR1Y9z4,1651 +torch/include/ATen/ops/scatter_ops.h,sha256=yz7XBva2kK4zlAyzvI-G7q-WAd2K9fzQQSWpJqGZnic,12138 +torch/include/ATen/ops/scatter_reduce.h,sha256=WBLhHojBb9LbGhLUH-OzfN0QzRZLEo4_pY3W_Pg50k4,1783 +torch/include/ATen/ops/scatter_reduce_compositeexplicitautogradnonfunctional_dispatch.h,sha256=6mqUFSz2AZR6e56S_5WA0j8SinAIg1MmiOi6po4oMp0,1081 +torch/include/ATen/ops/scatter_reduce_cpu_dispatch.h,sha256=fZM15D2sVXCTL4FOeaicUHCwwJg5txm9aWU-Kqe7tL4,1403 +torch/include/ATen/ops/scatter_reduce_cuda_dispatch.h,sha256=MygIO6BKIsw-SHGUOYrAaEr2-QPBxA74J-cekbMkwiQ,1405 +torch/include/ATen/ops/scatter_reduce_meta.h,sha256=VlRU0VW3nKcouZf3ykt8I-itK9Ug7YlWGDHJnYuVtDg,705 +torch/include/ATen/ops/scatter_reduce_meta_dispatch.h,sha256=5HzJlOg31A6DsoriYqxSjbtyq4x1e8KanRLVJUKgADE,1405 +torch/include/ATen/ops/scatter_reduce_native.h,sha256=TwW-xlh-h9RdLLWvbGVXt_3FYCEGN_EqNamtUZX-Zys,742 +torch/include/ATen/ops/scatter_reduce_ops.h,sha256=AGP-2W5Y6F-oh49qzdSnW5R_guYBjQbRdBGFixvqlo4,3308 +torch/include/ATen/ops/searchsorted.h,sha256=7j8KjPBj1pLlqxBtc3r7BaAKAegTVccd8WrP1D23kqE,3620 +torch/include/ATen/ops/searchsorted_cpu_dispatch.h,sha256=nePCrCSjGrZ0reozqf2el5k2WMv5qlGCzbuPaKBnXns,2100 +torch/include/ATen/ops/searchsorted_cuda_dispatch.h,sha256=RVExGT47Fyb14VwJbSFY4JvQN7wAK1l_kMZA-gydmKI,2102 +torch/include/ATen/ops/searchsorted_native.h,sha256=94nHGhU5UdmVXO04gYyc5RWSD5LPmqO1FtLEuoI7Vbg,2309 +torch/include/ATen/ops/searchsorted_ops.h,sha256=C2z6nAoGayE-1HbkAJw72v5-q4018fXUv5a5iHm8Ty8,4862 +torch/include/ATen/ops/segment_reduce.h,sha256=-SR3CGHnNz_1zecDTSAclJt-GSk3ubD8PI6NdAwb5vY,2397 +torch/include/ATen/ops/segment_reduce_compositeexplicitautograd_dispatch.h,sha256=aDdmcnY4Di8vjS67E9pFNHmX6wsNm96HHhfvnrMnwhA,1361 +torch/include/ATen/ops/segment_reduce_cpu_dispatch.h,sha256=k_qMv8EoXJqQMvsUZ0JgZmSx4xqIcl3msK_taU1UwP0,982 +torch/include/ATen/ops/segment_reduce_cuda_dispatch.h,sha256=ReZGxdQmUAyY8kHsVI2LdoWnmu9sopQDAJuES3TWrgw,984 +torch/include/ATen/ops/segment_reduce_native.h,sha256=GxVYpyUHqFpAE28I4zuwnMDge6hn4VWPohD0RxlA33A,1066 +torch/include/ATen/ops/segment_reduce_ops.h,sha256=90RNE3USc4dRe49Z_N4izjW7M6jOX4QFZ6H2PMcKW4A,3145 +torch/include/ATen/ops/select.h,sha256=Y74V615G8253OyMkgZd6S9a08YmsPVuOPwwJIFvQK5M,1644 +torch/include/ATen/ops/select_backward.h,sha256=1Pn2xniBDhlU2NM9C7nF4AmLr06Hj4VpIDsUPIKMO7E,4850 +torch/include/ATen/ops/select_backward_compositeexplicitautograd_dispatch.h,sha256=aVLl5KjFA6W3K-1jAN7-mxJ99d5ti5seAoejVsSGm_8,1346 +torch/include/ATen/ops/select_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=ywf5WDI1JxlJ9Pq0wRErTcivTjxUoSBbD94yu4o9VSM,1005 +torch/include/ATen/ops/select_backward_native.h,sha256=EK9EbsEjo5WU8ggBgQ3ZDJrvfxaX0DASLTuOpKSQf-Y,741 +torch/include/ATen/ops/select_backward_ops.h,sha256=RjdzlR9-O3XccRC6EF5HAOLfPfMVtFqm5BBQFqR4CbI,2122 +torch/include/ATen/ops/select_compositeexplicitautograd_dispatch.h,sha256=DnptFiET-zNkqvxgp5MfPtggpQA9Ie3X1YRJRs3x1ok,885 +torch/include/ATen/ops/select_compositeimplicitautograd_dispatch.h,sha256=Qin5wY6OUza9eU_7AQU4s9VuL0IssPn_BY91alwldq8,796 +torch/include/ATen/ops/select_copy.h,sha256=5QVNFIOMwLgOBe1YKvHrLEJw9BUoP1tckDnmluhk78Y,3772 +torch/include/ATen/ops/select_copy_compositeexplicitautograd_dispatch.h,sha256=nShinM7M8_kqNYs-2E1ZskrTLaHPHO-p_h13mLXXvCg,1178 +torch/include/ATen/ops/select_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=H4YZEjo1Pj4YJOmidZe6rzs3v4ct0LEwwtnLix0GCFg,921 +torch/include/ATen/ops/select_copy_native.h,sha256=LCUE6J509SadmEnfnBGlO2PpIA2vxiMVfIcZ14r4Z3E,755 +torch/include/ATen/ops/select_copy_ops.h,sha256=5ijpkQvZqE7JuHLCX8wpfj99RFZn4qach-eJMJn5ezc,1861 +torch/include/ATen/ops/select_native.h,sha256=O0qORLIusM_V_KkFFwzQfT7MJt6WQgfaIHKYSQpRLs0,794 +torch/include/ATen/ops/select_ops.h,sha256=oEkdMyJLktZaUC0xfG4vkrIyvh3hQEp4ndW9Yk7l8V0,1765 +torch/include/ATen/ops/select_scatter.h,sha256=f_l0xEGvMDf5IEDOjbct5LulCWiQT-L5RCd8_ru95SY,4213 +torch/include/ATen/ops/select_scatter_compositeexplicitautograd_dispatch.h,sha256=x8ioi3LlnaGyLzLXfhluuyal4yC7T22aCV0zUVdhv4c,1286 +torch/include/ATen/ops/select_scatter_compositeexplicitautogradnonfunctional_dispatch.h,sha256=vhYMKNGEITJ1WVIWUKsB0bl-xduMSyxb89cty7LcAqI,975 +torch/include/ATen/ops/select_scatter_native.h,sha256=Q6ftjY_htnyupxcE6CNtJx942unhk5kbEZXAabTPmz4,707 +torch/include/ATen/ops/select_scatter_ops.h,sha256=L2lbRix5yyuxZ6pvJ5P2wMaM0RvsRItbJIV5IprdWRU,2016 +torch/include/ATen/ops/selu.h,sha256=L6rN3fKir8oiSSb8HxYNHymM635SLPalaYEMGr3Ytcg,753 +torch/include/ATen/ops/selu_compositeimplicitautograd_dispatch.h,sha256=feIEgPVppKywSSF1J0UwT2WGtx9Fl8xcApm3uY3F9Y8,811 +torch/include/ATen/ops/selu_native.h,sha256=7vNnZcOb8VSYNv8M_jJjpLnsEJDUWEuqDcNZA62-vIw,534 +torch/include/ATen/ops/selu_ops.h,sha256=SI7dM6vNtooa4egHeMbMj6T4z1mPasE70ryaEo-kSrg,1487 +torch/include/ATen/ops/set.h,sha256=0ziGo2k6vtuGxpShUnQ7SzDctZDF0REqzFe2B3cXRWc,9248 +torch/include/ATen/ops/set_compositeexplicitautograd_dispatch.h,sha256=uffcQLn5cK01e5EMxZKzJJOtVep08CiB8xPQ4Mw0X48,2470 +torch/include/ATen/ops/set_compositeimplicitautograd_dispatch.h,sha256=qLaAXSCm0WXaxN6kyZted1krq9kQ7NX-zxuY1bJhKiI,1025 +torch/include/ATen/ops/set_cpu_dispatch.h,sha256=IQj-xc2kLWSfgH6xH97EyHVjo60kfnsE18Oe9h5o-MI,1158 +torch/include/ATen/ops/set_cuda_dispatch.h,sha256=obDehO4hPNPO7Mb0lwqxPeEIfBb07PRbc24sq5h_zIU,1160 +torch/include/ATen/ops/set_data.h,sha256=M7LkzCqOE_2rLELk5fOcBBlku4_1EBbfplmohHUiBFg,493 +torch/include/ATen/ops/set_data_compositeimplicitautograd_dispatch.h,sha256=yL2R4AodKWpLR5_gj1kDt-pkBcKkOUmz1XXBMZ4HLMQ,783 +torch/include/ATen/ops/set_data_native.h,sha256=eA6dacR1RMVe52YV4FPLmhwXAoYZlJq0t9E0mQ3Stt8,506 +torch/include/ATen/ops/set_data_ops.h,sha256=j67F7fWpSpe5JKWRsk8HJJmzHLTWSZOOwi2Fpl7bbpc,1032 +torch/include/ATen/ops/set_meta_dispatch.h,sha256=k-R5X55oU6GtG0kR_HkHtakdSMWGBNUrP3PIegVB-80,1160 +torch/include/ATen/ops/set_native.h,sha256=TLSZeWbU6eHblzwx0XRJQ9-V7_eg45mHXgA7ScpR4Kc,2425 +torch/include/ATen/ops/set_ops.h,sha256=dtIASNhLKVLQDI-Xnm1rDBuqgYKfsJiMcXFDqi-LGR4,10090 +torch/include/ATen/ops/sgn.h,sha256=vQYiyDO9VJ6vKXTQOAwWAHX9TQliu0ICpqf5HuDQWEw,985 +torch/include/ATen/ops/sgn_compositeexplicitautogradnonfunctional_dispatch.h,sha256=5LZTvBGItXSSEPoj5He0vvDPrxfS51-kWkyZ6o9PjuI,835 +torch/include/ATen/ops/sgn_cpu_dispatch.h,sha256=N8oA9WbFOLV034Ofk9Y_lEoKo8EL_E1gNd6z37s1DH0,916 +torch/include/ATen/ops/sgn_cuda_dispatch.h,sha256=gEHpo5mz-1MJApDpovu2PBGyFHkKgnUGcC1GVKiyPU0,918 +torch/include/ATen/ops/sgn_meta.h,sha256=ZZhR6tWsacXA8l64-9vDCxN7a20iu_Mtzay7AHO5A6E,583 +torch/include/ATen/ops/sgn_meta_dispatch.h,sha256=8yfX_c-0Sgq8Y_pRhnUy4PizSGbyX-pQMdajpHcDrNw,918 +torch/include/ATen/ops/sgn_native.h,sha256=naslk9lAS9-oNPOqgHUfJiQz_F7guJUqUsfVIIH_Ooo,1125 +torch/include/ATen/ops/sgn_ops.h,sha256=ftL5NX6yzjLsxXX3jCcr59mLsFkTJsLqUxwrxetKMtU,2095 +torch/include/ATen/ops/sigmoid.h,sha256=aCq5YuMow5eUk2-6zJpB-vd8eryp-U7WMFamtUW4C0g,1170 +torch/include/ATen/ops/sigmoid_backward.h,sha256=NA2J3XzgJnQ8pmAVN3YmG_FGBoS9Q44j6dIv0oAJa8s,1398 +torch/include/ATen/ops/sigmoid_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=KeXoyaLReJobC_434lczR2HcHZ-hbB5pAywmeclxVRg,834 +torch/include/ATen/ops/sigmoid_backward_cpu_dispatch.h,sha256=Z1EoGWZ4eiOSy7lPpI_5qwyzWyFqxY9wC-35gcOLfDo,1023 +torch/include/ATen/ops/sigmoid_backward_cuda_dispatch.h,sha256=6ZRfEflpXl5fpK-du2JcRoDGKNJjB-LydnnY6mq6OXI,1025 +torch/include/ATen/ops/sigmoid_backward_meta.h,sha256=nqyNIXyLl8Pk2s8DPKUMAvGHl7l3htpKLE2CF4P2dfA,630 +torch/include/ATen/ops/sigmoid_backward_meta_dispatch.h,sha256=S4rELKVhE_1DTVGnOsDDb_8rwjqu0gHQwaJQyOuOLHw,1025 +torch/include/ATen/ops/sigmoid_backward_native.h,sha256=B7URH1RtxKQ0WD0WPji92TfOV8GuAgBPfg2jq-z9G3w,678 +torch/include/ATen/ops/sigmoid_backward_ops.h,sha256=vTt1Fk-bEglgV-2LW62kve1XuuopyA8N9vacI2PjSmw,1912 +torch/include/ATen/ops/sigmoid_compositeexplicitautogradnonfunctional_dispatch.h,sha256=PgSe5Gt31ah8_osPFrHYOww8BvxGX1FAB-T6z4sIlSo,843 +torch/include/ATen/ops/sigmoid_cpu_dispatch.h,sha256=9BqLnt0EV_KwajFVFxF7kDs_-hM6m2r-I-s6TA5mIYQ,932 +torch/include/ATen/ops/sigmoid_cuda_dispatch.h,sha256=QVopEHCkwY_JxiodcFYJU0G5YY7ClWLQK0oroxRrFO8,934 +torch/include/ATen/ops/sigmoid_meta.h,sha256=VsvL76FLM-dZz-KWVYpo0Z7KqK65VfBJR8dqKd2TlMo,587 +torch/include/ATen/ops/sigmoid_meta_dispatch.h,sha256=tHMuVNnesOCzw4LWcETtkRJUayW-Y2Mt3UMxT5SgayY,934 +torch/include/ATen/ops/sigmoid_native.h,sha256=-dkBI58GCpi6TZSYgA3AE-JlLPliZN8KIqk1QdCxizU,800 +torch/include/ATen/ops/sigmoid_ops.h,sha256=lzqi6rrhvf061x2LINWNHrKuCUI-SkWBcQG38qsMWAI,2131 +torch/include/ATen/ops/sign.h,sha256=c72wNaIZDLWEwztXaMBx4QXqR9bVu_sjHErW6eZryIE,995 +torch/include/ATen/ops/sign_compositeexplicitautogradnonfunctional_dispatch.h,sha256=3sLCp0R6yinNMOZNmVu3TVD2Kz72SerkQDIQaN_rhLA,837 +torch/include/ATen/ops/sign_cpu_dispatch.h,sha256=dRjDYMA27wsP2uva7J-Kgdy5UvukNUp6IfQthimzXeE,920 +torch/include/ATen/ops/sign_cuda_dispatch.h,sha256=pqJj4CvmdlTDW6JNChQyrKMfUpUrFIobRDu3_I-X5i8,922 +torch/include/ATen/ops/sign_meta.h,sha256=MN51sWvZbLzBpzB2ale08fKk3oY0twxZIyHiWakehRA,584 +torch/include/ATen/ops/sign_meta_dispatch.h,sha256=zTgSWNx26W0SqO2nyrie1VW5-I62rLQKwHVk85ImOnI,922 +torch/include/ATen/ops/sign_native.h,sha256=UwCSlUgSQOrRgrXHuhZ8lKZ_epymAWzo_rMmtcnBPkE,1009 +torch/include/ATen/ops/sign_ops.h,sha256=36fzM7PNMwzYC2f92LfqlLF7SI0Y6jfYOEMJsdrzCDY,2104 +torch/include/ATen/ops/signbit.h,sha256=e65ucj2xLRhsjDMqiYt-sWrKawtLBUbUoj0OS8tDALc,1025 +torch/include/ATen/ops/signbit_compositeexplicitautogradnonfunctional_dispatch.h,sha256=LKAm5dgD5A2eFGCFY4CYUTIl5OTWUm5om6_g5-oBr_4,791 +torch/include/ATen/ops/signbit_cpu_dispatch.h,sha256=rP9ipQWOjXsjCT1FWW15McZXhlElRK-CO_f0m4bDxYI,880 +torch/include/ATen/ops/signbit_cuda_dispatch.h,sha256=FcRfgPia_yIEHt6_4uzob0Cb5Lrew0BvKThRrXioHKU,882 +torch/include/ATen/ops/signbit_meta.h,sha256=81iU5H5qhUpVKsCfezRuSf-8S35aT0agwfMRoPwLUQ0,587 +torch/include/ATen/ops/signbit_meta_dispatch.h,sha256=3TpQ5vHZrP7rtq8vi0ePFzQv_3gu8unuISKA9-JT8ac,882 +torch/include/ATen/ops/signbit_native.h,sha256=yZFX6eEQSqHOKPjcBwdIzy4seys9Jmk9doxzgjHdXdI,914 +torch/include/ATen/ops/signbit_ops.h,sha256=e0CqonP8gaRvpA3w4-pGj4h0rKq1WgvfeCEe200aAy8,1596 +torch/include/ATen/ops/silu.h,sha256=ulFDE1L-rJW7uNv2s8Of_v6_KZKjuUVw-pqAvWPw_Qk,1131 +torch/include/ATen/ops/silu_backward.h,sha256=y5OuDGcW3raq7dyEYRWarSZk3Efn8zJMhUZmmXXL2gY,1350 +torch/include/ATen/ops/silu_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=8YaGB-R4mVUWiIqPoByZJbvej048UGQjTm_O8uBNCeY,829 +torch/include/ATen/ops/silu_backward_compositeimplicitautograd_dispatch.h,sha256=sQm5odhJYhYcckBGh6uwZ68ih5HjuNIIcfDJEQfFfCM,803 +torch/include/ATen/ops/silu_backward_cpu_dispatch.h,sha256=EG_bVXsVJLRVkSi9rLsFGSyu0Tk5y3d79jYiJirYAEI,1008 +torch/include/ATen/ops/silu_backward_cuda_dispatch.h,sha256=JhWuMQ6oEORadSG48Zy1zi_KaNEuhbfYeAtnG5s91Lc,1010 +torch/include/ATen/ops/silu_backward_meta.h,sha256=6AhbxLHQwdFh8pbgbZwncseUASPt-Sga8gd2xDL-Phw,625 +torch/include/ATen/ops/silu_backward_meta_dispatch.h,sha256=mVbl8ejUfC8rCxiW1E7c7S663PjTZUBADWI5m-3D_LA,1010 +torch/include/ATen/ops/silu_backward_native.h,sha256=KPrVkU9l21YJ2a4pxeUFWEhcm1vJNn2nSHcIExIBvDU,865 +torch/include/ATen/ops/silu_backward_ops.h,sha256=fRVpfpQh3xwSo3CeygxZslm-D0cCRkXwkN_nhR2or8c,1882 +torch/include/ATen/ops/silu_compositeexplicitautogradnonfunctional_dispatch.h,sha256=H7Lya-LmVuzj9XLj49GvmeR9pPgteBXanYLuB4TjXB8,837 +torch/include/ATen/ops/silu_cpu_dispatch.h,sha256=VW-LKzanvEolYrQajqECOJSHGJXlc7jhXv3Qc7vDo4Q,920 +torch/include/ATen/ops/silu_cuda_dispatch.h,sha256=xkK0nHdqbsDqgHS3WeyQdxyTOy295H73P6t_RQ8abuM,922 +torch/include/ATen/ops/silu_meta.h,sha256=HCcxchI1FsUcysaN8k94WecIDYUrWS6dNLg2U-vSyxs,584 +torch/include/ATen/ops/silu_meta_dispatch.h,sha256=_RFEFf5hb9lvl-zAckvaGyo213ylhEURqRJSZQgrLUg,922 +torch/include/ATen/ops/silu_native.h,sha256=moP3pInfEc-zh2tem-f_dCRyXvVC6car7RGkSiOh3xk,728 +torch/include/ATen/ops/silu_ops.h,sha256=6RjX3RS8mW-MHGUTeZAJbAj1hA86gaFdLXpGFVY_LfM,2104 +torch/include/ATen/ops/sin.h,sha256=s__O68158yri94PVEkJrBvpO9uz3nGo7Frgb8pboj-k,1118 +torch/include/ATen/ops/sin_compositeexplicitautogradnonfunctional_dispatch.h,sha256=oK8texD6_Mm0uHJLY80EPD2e4B2awH0--EUWVnzkKw8,835 +torch/include/ATen/ops/sin_cpu_dispatch.h,sha256=N2sGALxM13cOEMx_Xw0Z5QpZSz3Z0QB1yv7EF95v5IA,916 +torch/include/ATen/ops/sin_cuda_dispatch.h,sha256=AY7K9iIlZ_AWmzB3s8bQes1AtzQ-Y0J6i8qX1sFlzC4,918 +torch/include/ATen/ops/sin_meta.h,sha256=WGodWvqi8Fu7T3sVG7L1iwiVNJMLYZDDE4hniioup4Y,583 +torch/include/ATen/ops/sin_meta_dispatch.h,sha256=ZXhNfI5oQuNj52zkysQ-oSrQDrUFP-c-_GIv1ZNN8v8,918 +torch/include/ATen/ops/sin_native.h,sha256=EXJKtjltEo7ihKS3TzAAAEHzfrghi3zkWA7bTD_kLNU,1058 +torch/include/ATen/ops/sin_ops.h,sha256=y-pK-1JCIal7xqGP2kZkypyJEEOEs-QLsvyeiVP_yYk,2095 +torch/include/ATen/ops/sinc.h,sha256=hwBkdMJDrrIFkejMncny__tzd9byyr8thQ-tXNrRsvU,1131 +torch/include/ATen/ops/sinc_compositeexplicitautogradnonfunctional_dispatch.h,sha256=EKtHwrscBiEEOnQ1JHHKfTLAH3L0B8F6ALt0WtZqHDQ,837 +torch/include/ATen/ops/sinc_cpu_dispatch.h,sha256=GOS-7yL0DplD2PgWP2CYkwAHuTH1-VvXL5P4HcPu7Lg,920 +torch/include/ATen/ops/sinc_cuda_dispatch.h,sha256=BIV7_Q8rLDcOjtnQjPHdi6q_vtsmByrHmOMUi4olkB4,922 +torch/include/ATen/ops/sinc_meta.h,sha256=WrsO8U80SdHTi0FJHW5qBZzn2Y3hgSHtD-dgmazMhc4,584 +torch/include/ATen/ops/sinc_meta_dispatch.h,sha256=oCzuPzKN9t28M61qlSg8r-8NDD3EQBpEHCXi4dMAHC4,922 +torch/include/ATen/ops/sinc_native.h,sha256=8vucxARdlL4HJvyRUXAPcMp_0CY_oiTb1jaj20SYqfk,601 +torch/include/ATen/ops/sinc_ops.h,sha256=JXWYkZHrllAjNqV22KEGIzhzXcu8Vvu-WrVgInu0zWY,2104 +torch/include/ATen/ops/sinh.h,sha256=zoVS1PkSOe31J07uGtbRIHndUCN23WLrfuKXA-jvy6c,1131 +torch/include/ATen/ops/sinh_compositeexplicitautogradnonfunctional_dispatch.h,sha256=Dn9LTkJi_S3ATtf0n85BJ8pNIzMktISmGDnvH8e_WXE,837 +torch/include/ATen/ops/sinh_cpu_dispatch.h,sha256=2XfrxA2i-RFpcoXYAgiDSDF-T2jKMKSn1Re9x-tEZVE,920 +torch/include/ATen/ops/sinh_cuda_dispatch.h,sha256=YTqiAu91XPCxq3bi-2QU5WAJXMOAIJ8XoNE8_Nmsf6c,922 +torch/include/ATen/ops/sinh_meta.h,sha256=OWYnjJLRq9yvElrCTLQhcAKFnV_3ijFWsZ-yPzWzBCc,584 +torch/include/ATen/ops/sinh_meta_dispatch.h,sha256=indTCakEIpKc7xjFjNcUu4CkXNSYnkjFlk0JkzsoNxU,922 +torch/include/ATen/ops/sinh_native.h,sha256=nQDaFm06dab06nGZ1m4UlGakmTwIRmzFvjGM5bErl1g,1009 +torch/include/ATen/ops/sinh_ops.h,sha256=OjUm6RXDu2QTAF-7V_ifwM37k5UoXl3LUvgPGvRcFmQ,2104 +torch/include/ATen/ops/size.h,sha256=Xvi4WwZCvezwWhN_2abVDn8jK5XKMN5GwACfz8yIEP0,831 +torch/include/ATen/ops/size_compositeimplicitautograd_dispatch.h,sha256=lfBzXTWLGOAo9DfG-KPVaOTcT7h5ydQWZqIo3W8vF3k,838 +torch/include/ATen/ops/size_native.h,sha256=JefGYBmJKJWdAw7-WZP417oBERIqZQ-9-dPqfN8uWao,561 +torch/include/ATen/ops/size_ops.h,sha256=GmBa35PoRIDqV9cy1S3w3nJUQ6gT3wQKd0diO5JxrOA,1602 +torch/include/ATen/ops/slice.h,sha256=4zVht5J9RO77kIX_bE8-jwD5QTx8E95fZ78sF0ivDI0,2188 +torch/include/ATen/ops/slice_backward.h,sha256=MhJUNoT-73f-qUQraH5rf2fZPlFEE1qkT9XwGA5MBZE,5473 +torch/include/ATen/ops/slice_backward_compositeexplicitautograd_dispatch.h,sha256=bxgVa7Z0R7s3TzNHNwGTITuhC7ZFeD5qhSlLIj0hrFo,1795 +torch/include/ATen/ops/slice_backward_native.h,sha256=V8fv6W0XmNYQfcnedRYbSfFb-dr5PU8Bw7mD2z-CH7s,786 +torch/include/ATen/ops/slice_backward_ops.h,sha256=YzdSdclWGKkdrs6pWbNfB-HKDn5LBDM2c9zM8Ag6lk4,2358 +torch/include/ATen/ops/slice_compositeexplicitautograd_dispatch.h,sha256=4I4Uz7gsByrkNDr7wTbTxyCS2E4bKqjVQGCNi-ArLIQ,1065 +torch/include/ATen/ops/slice_copy.h,sha256=75WLsBXr96M59a6AzqrXOFDS0EvxsuFeJx4GXSUQJnk,5961 +torch/include/ATen/ops/slice_copy_compositeexplicitautograd_dispatch.h,sha256=lD5PAVq6myk5hEG5w3wm9Cs-CZGOxjheFK2MRbkmZ5s,1478 +torch/include/ATen/ops/slice_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=kmsx8-yJtUQNvN9dYt1HO8fqY4GJRueoBadlFutPnCs,1101 +torch/include/ATen/ops/slice_copy_native.h,sha256=jaDcF6xrz3K2VuFqhCA_7bn9Sg12bwsIIwjrYA9IkiY,825 +torch/include/ATen/ops/slice_copy_ops.h,sha256=L-VzSbZdIaJYg63uyyXoPmztoJRA-3SwO0B3N-KgDY4,2327 +torch/include/ATen/ops/slice_native.h,sha256=TjqEp_9AtzwWEXc6qYNG4CKoOqgU74fkUUVJYV_rBmU,601 +torch/include/ATen/ops/slice_ops.h,sha256=pbOhd5cPAX0N4U9gUZmkbtBFSF2v9J8BXuo53Rio-v4,1326 +torch/include/ATen/ops/slice_scatter.h,sha256=Mkq-8dvpcZ2XhU5GVt7L1IkmnjJUUy3OMx7hHKjQSBM,6348 +torch/include/ATen/ops/slice_scatter_compositeexplicitautograd_dispatch.h,sha256=cyD12fIxbHfex40jD9-lQor2z1w-u9PzX7K9aziGfVs,1586 +torch/include/ATen/ops/slice_scatter_compositeexplicitautogradnonfunctional_dispatch.h,sha256=tRIMpgkkwNkVCy0W4saGkiYwNJxT9dhHcfqkcX2d5ys,1155 +torch/include/ATen/ops/slice_scatter_native.h,sha256=c9-asWe4MjdMOHYfNfkWhn8QwqR8cWIVDRKCcYZdyjk,846 +torch/include/ATen/ops/slice_scatter_ops.h,sha256=--ebtpRj19xN2E0KAzo8JmD1GAiWbLAtokbL_72lafI,2464 +torch/include/ATen/ops/slogdet.h,sha256=OMzMSCFSogpSIhf-iZCKwlBnCyx9q8ZUa5SOAd4-KwY,1307 +torch/include/ATen/ops/slogdet_compositeimplicitautograd_dispatch.h,sha256=dFmaIWSJbfcGLPpGVKU0-g4__WSEsC_xANNcSTF_EiQ,1053 +torch/include/ATen/ops/slogdet_native.h,sha256=IPqe45cfBbf7tXiBGHK-rROY-9o4lPeFMrvICphSwqo,644 +torch/include/ATen/ops/slogdet_ops.h,sha256=CyjUZ3gdow6QoILtRKDNZ7X8UIPd_3nBVbgsKai5mzk,1893 +torch/include/ATen/ops/slow_conv3d.h,sha256=FzIII1vKQ9og7wlFHHLULeX9gvOxg4hIc6k8enTaEJQ,6614 +torch/include/ATen/ops/slow_conv3d_compositeimplicitautograd_dispatch.h,sha256=t6N3YnOjEHz50q7ImVwSzvb0LTHT_VRS_ayG6Kb8PyE,2169 +torch/include/ATen/ops/slow_conv3d_forward.h,sha256=IorxmzrsT2WUVNhHQf3hL9avuOb_Nx8CRWcZSKTryRI,6744 +torch/include/ATen/ops/slow_conv3d_forward_cpu_dispatch.h,sha256=6t5wrfwQC0hebdfcwb-Lw6XV9yC2OE3hOeSa3dcAWCE,2105 +torch/include/ATen/ops/slow_conv3d_forward_native.h,sha256=R_q_Cw00cnfEM3cp2J9LRpp18odaL_V_sI7mqDn1Q9o,892 +torch/include/ATen/ops/slow_conv3d_forward_ops.h,sha256=1mqxxLXESSzliIl24uCinAFweguL8hPS06pKPSf6s_I,2728 +torch/include/ATen/ops/slow_conv3d_native.h,sha256=tfUWNXpi3zvfpWtHyd51HUZbaN6GSLzgWFAdYdSay2w,872 +torch/include/ATen/ops/slow_conv3d_ops.h,sha256=uxtemQaS2ntD5een1tZgdKHnqVEMVmuvr3bWY-XqJZU,2680 +torch/include/ATen/ops/slow_conv_dilated2d.h,sha256=EJTn2Na65hhn539SmBT04dhfJst9jrh63JAI-pSiJe8,7674 +torch/include/ATen/ops/slow_conv_dilated2d_compositeexplicitautograd_dispatch.h,sha256=91dYkAMlVY_npiuqzwFdzGQDjU9iLf2X5cADFa7TVyU,1863 +torch/include/ATen/ops/slow_conv_dilated2d_cpu_dispatch.h,sha256=mAdiCGnMqh2bx-uVSHRFjh4mFmcZN7HZL9xmbvVE2XA,1222 +torch/include/ATen/ops/slow_conv_dilated2d_cuda_dispatch.h,sha256=_aOrW4hOyBTZtuFfmZ3NgCfBaMYiHWovuZUbdEtDj6s,1224 +torch/include/ATen/ops/slow_conv_dilated2d_native.h,sha256=lryslzmcT8YK3sCDozMA3zxYnj2EfD4vVtnyKWxz92A,1221 +torch/include/ATen/ops/slow_conv_dilated2d_ops.h,sha256=ODL5KyzTbFZJp2_2DTYfGodp0uFd9pXnd_e3hoIhLnc,2934 +torch/include/ATen/ops/slow_conv_dilated3d.h,sha256=OAidLgnnUvYm-ktfcVsgMFpmuOM0ipQku4jyCaOoX_0,7674 +torch/include/ATen/ops/slow_conv_dilated3d_compositeexplicitautograd_dispatch.h,sha256=PqQxCj-Ksu5zHCnYAA8OPx5SE0TNt1CRIXWqEPZt3XQ,1863 +torch/include/ATen/ops/slow_conv_dilated3d_cpu_dispatch.h,sha256=fEJGl7kY_dDAerxRZcLAI40NxSTQnlTJMLXmovKqoHI,1222 +torch/include/ATen/ops/slow_conv_dilated3d_cuda_dispatch.h,sha256=l05P1yC1X-6hjq21lIN3q4mTDERFDgYpX_C7axivNro,1224 +torch/include/ATen/ops/slow_conv_dilated3d_native.h,sha256=AWErD5-UVcKEzymlR-OA0zKADb7GKp_K3zxZom6Vjzw,1221 +torch/include/ATen/ops/slow_conv_dilated3d_ops.h,sha256=-qgixYsnvWXqlpGWFbNV6ynt_tWgs4HDHMTNfZMWp1A,2934 +torch/include/ATen/ops/slow_conv_transpose2d.h,sha256=L29lpdyx81NJYyauHYbzC_sNkGqC-1Csl9fJUoQbzAE,8728 +torch/include/ATen/ops/slow_conv_transpose2d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=6rzXbRCOtaFvZJ40D3kGpzP5IToGJYvidaLOfciJsgc,1381 +torch/include/ATen/ops/slow_conv_transpose2d_cpu_dispatch.h,sha256=G9wFXjBGSjqKayIYJO8YT28aTS10Xd1RkJGf5nT8jXQ,2625 +torch/include/ATen/ops/slow_conv_transpose2d_cuda_dispatch.h,sha256=V_xeC6GaPQmsGhLu-aVhUAvZaK9S-Ljz0BKOU3ilin4,2627 +torch/include/ATen/ops/slow_conv_transpose2d_meta.h,sha256=My5duHmUU8u0fa3HRaBpO_t4y5sZC8AexQO4mB6oJiM,822 +torch/include/ATen/ops/slow_conv_transpose2d_meta_dispatch.h,sha256=nLtulXVy3TUZg8_8RlPcdI2JmkIodswjSSwnhHORNmo,2627 +torch/include/ATen/ops/slow_conv_transpose2d_native.h,sha256=mn92vu9KnLIOfA-VfNGBmYFD7mymgBnr_xVwPJvODf8,1288 +torch/include/ATen/ops/slow_conv_transpose2d_ops.h,sha256=GZNDESxgdTrSd0G4-3Ek9Ww6hoZhAwoxg02it-x4QRg,3188 +torch/include/ATen/ops/slow_conv_transpose3d.h,sha256=0m-A7O6_HdofCVvXcAhHExFjSmTnunFMxlkz_FiOTgU,8728 +torch/include/ATen/ops/slow_conv_transpose3d_cpu_dispatch.h,sha256=68nk2Phxc0bixxixeoxVgtFLcGe0seoGR-Qdl6Fap7M,2625 +torch/include/ATen/ops/slow_conv_transpose3d_cuda_dispatch.h,sha256=0j99dqy6fdmegYL6jCMdr8OhhRd26lUAs0fZjrkcfu8,2627 +torch/include/ATen/ops/slow_conv_transpose3d_native.h,sha256=hduSIVFrJG5eIAO9qcOql0AUha-oL0yQ4i2AcF-REz4,1609 +torch/include/ATen/ops/slow_conv_transpose3d_ops.h,sha256=1lE5lUFBBOoeOsmsO0-ctHa0i7TlJ_IZJ7QpynPpGBg,3188 +torch/include/ATen/ops/smm.h,sha256=p2AOnHGtBg-d57p0DJ6_T-6q7uY6uKt1xgP33cIc1gw,657 +torch/include/ATen/ops/smm_compositeimplicitautograd_dispatch.h,sha256=zh39RzyV2CfnuPVHLm9WN2xAy1HIvmcNqnC7MHe5zFI,786 +torch/include/ATen/ops/smm_native.h,sha256=1TO0O0-1gfztJZOc3UFrwuoUZB4VuPYPk8PwFXnzNYY,509 +torch/include/ATen/ops/smm_ops.h,sha256=Up4NdZ7cEij5zd95PozfFqph-uPEUVef5Jrfwq1cvdI,1041 +torch/include/ATen/ops/smooth_l1_loss.h,sha256=M0FBMHW0Dj6uM6QlSBP4x5p4t8UmHBHvCWZ6HoRuLNU,1548 +torch/include/ATen/ops/smooth_l1_loss_backward.h,sha256=zdG3nHC5_wJkVxVUQ16_pejOVVzqLxlGj4hnN84Qgh4,1828 +torch/include/ATen/ops/smooth_l1_loss_backward_compositeexplicitautograd_dispatch.h,sha256=vsKgPteWSvoSkOolydVw8wIQi628eQK6CMAGa6Hfqw0,872 +torch/include/ATen/ops/smooth_l1_loss_backward_cpu_dispatch.h,sha256=L1-VS0yBMrCTZThtrofIh7OYl39FeV_fkTRBHRF8mu0,1053 +torch/include/ATen/ops/smooth_l1_loss_backward_cuda_dispatch.h,sha256=S3dEktFSk5jv-cVvrpmgNY-7Tv2Hq0TSpe4upvr_u5w,1055 +torch/include/ATen/ops/smooth_l1_loss_backward_native.h,sha256=AIRjQ6DZtC8KZdg64RIsaY9TPvmIOZkjTn3BMMdOmfw,788 +torch/include/ATen/ops/smooth_l1_loss_backward_ops.h,sha256=N4jIqIJO3UMktU-JrvuLFoZHDXs3Tr-n-vMWcOGpxxg,2336 +torch/include/ATen/ops/smooth_l1_loss_compositeexplicitautogradnonfunctional_dispatch.h,sha256=QFDGg5V9bzZq5wAUY91lhZKYddS5-b-KTRFyH-UraU8,881 +torch/include/ATen/ops/smooth_l1_loss_cpu_dispatch.h,sha256=DdRIZPNl3E3o0ZyHWhe6h4fJRxcoMPF7XYN1KciQEN8,1126 +torch/include/ATen/ops/smooth_l1_loss_cuda_dispatch.h,sha256=D1DeBN2maEeNWynQLkZLW3TJ4YZePPtgrcdTY1uIoBI,1128 +torch/include/ATen/ops/smooth_l1_loss_meta.h,sha256=RIBPPKsXXwK2bdv4ehee8Ou-j3euoT9mg5rMY8ahn50,653 +torch/include/ATen/ops/smooth_l1_loss_meta_dispatch.h,sha256=OK6iuMA73rROWLuzfECUCATHlYFCpFtyw2EV_FsBgeI,1128 +torch/include/ATen/ops/smooth_l1_loss_native.h,sha256=Dp3QfpS1rS70yckRr6rCGEdNnzEaP2vpKnUDDFnDzQc,690 +torch/include/ATen/ops/smooth_l1_loss_ops.h,sha256=Xu7Klz3bVBXAtpuaJozYbK5vLcSqHyvJdOkaoPX7nKY,2050 +torch/include/ATen/ops/soft_margin_loss.h,sha256=NUIc7RbLH3OOPMftHGyZyWGEhFAdLJJFx4lYuk6J0go,1455 +torch/include/ATen/ops/soft_margin_loss_backward.h,sha256=Zy1vHfI0_e02by9HcKUb3LDe6tsaqwVZ4yzj1D--OdY,1755 +torch/include/ATen/ops/soft_margin_loss_backward_compositeexplicitautograd_dispatch.h,sha256=mKz_T200YoVXHwVZm1EYe4W-Ggr1JntbpqZryBzN950,1226 +torch/include/ATen/ops/soft_margin_loss_backward_native.h,sha256=M2wbnatRgS-8HHNRWkhTNC2Jkcj_jPN6Wx9Mam_4j2Q,766 +torch/include/ATen/ops/soft_margin_loss_backward_ops.h,sha256=iuTKyAWTObRfNW6EBy-JyqnVkFsgsIobyMMSKbs_XXY,2256 +torch/include/ATen/ops/soft_margin_loss_compositeexplicitautograd_dispatch.h,sha256=IWQFxzXH4lpRClv65qSSE1EK0XZEPBV2QNpAxW7jZLw,1129 +torch/include/ATen/ops/soft_margin_loss_native.h,sha256=YOU-DQfWwES9x3AVdH5rd9fJ95Djis399ItXIx8Hw7w,697 +torch/include/ATen/ops/soft_margin_loss_ops.h,sha256=AMd6huviPh_w-erho6ztcNIldp1ZSJYuCtcv3js-Z7I,1962 +torch/include/ATen/ops/softmax.h,sha256=TdmY3FQPyUoOT16fgs65-X3w3xAYB4iI15-54PzJEc8,1633 +torch/include/ATen/ops/softmax_compositeexplicitautograd_dispatch.h,sha256=Q-K8P9dGz9fmjMpKnYxPIm0gCKgm_EeRRLorGKBuWTs,982 +torch/include/ATen/ops/softmax_compositeimplicitautograd_dispatch.h,sha256=SW41u0AXh3wzqgCNAMTAigkCSMasoEOi4pX2c4ckkns,950 +torch/include/ATen/ops/softmax_native.h,sha256=aLKlS0HcMcmHh0IlCRqwZncwG0lbQzpDCK-xgloqoeE,802 +torch/include/ATen/ops/softmax_ops.h,sha256=MMYxnafR8BeE7GaOP7mXi65BWY1IlA2CSl7QCxxDgd4,2716 +torch/include/ATen/ops/softplus.h,sha256=QFhsIKPoP1ZSn5gXwloaLR5-lZpI94N5C2x0AKZ_5xA,1369 +torch/include/ATen/ops/softplus_backward.h,sha256=Vigl-TYDPzjRthVhZjqbbzNSru02NR1iWfZfmh7WIfI,1699 +torch/include/ATen/ops/softplus_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=yRyvBXIpd0TxdF7jjYtPtuP6f6DhcJK_jfDlaBnvjaw,888 +torch/include/ATen/ops/softplus_backward_cpu_dispatch.h,sha256=irVg4G8fiE6bKANPwE7laR_bQ1s2ajXO1TCxz1-W9Ck,1185 +torch/include/ATen/ops/softplus_backward_cuda_dispatch.h,sha256=Em2nFwaFRtj0glqW9N0eTAapqi8hL4uSnkXNMTMV4ro,1187 +torch/include/ATen/ops/softplus_backward_meta.h,sha256=D3N1xDiFBI86UYGjIFyMma-9D_MFG7u1o9Bye0KoW74,684 +torch/include/ATen/ops/softplus_backward_meta_dispatch.h,sha256=7h0a9RE6mIXwiyuG1Qidxna_qUKXlmM3KBahwDNVB-w,1187 +torch/include/ATen/ops/softplus_backward_native.h,sha256=s9LL3BVKs5_GdXQ99NQgQmxYO-2Yr1F17hCp7E_dTxY,734 +torch/include/ATen/ops/softplus_backward_ops.h,sha256=C1AqMy3cL4ekYiKZmvtOI6nzUgDDlEhOoVQlBJbyvz4,2268 +torch/include/ATen/ops/softplus_compositeexplicitautogradnonfunctional_dispatch.h,sha256=AxsmNLiuVnwsNx5q0qW15VTu5qb5lRxeNdLH1LIzFWo,852 +torch/include/ATen/ops/softplus_cpu_dispatch.h,sha256=RR3_VIToYt9OWM9n3oi9MXMKX8DoM-EQo6cSM69IDv8,1058 +torch/include/ATen/ops/softplus_cuda_dispatch.h,sha256=pOtF5h-A9QmnyCkkOgC5bhqimw96GuIS5IlT04KVgHI,1060 +torch/include/ATen/ops/softplus_meta.h,sha256=ws6i0pF-4bD3AAJxQ3jZYM0kTVw1r6nzV98z2II38qg,643 +torch/include/ATen/ops/softplus_meta_dispatch.h,sha256=zFKHcO4RG0-KFa8alMQuM9vpEfdctrT8v_9zweG66Cs,1060 +torch/include/ATen/ops/softplus_native.h,sha256=KJEHkmfEO40kzldElwOwaRfqgzYBJsJB4u8f6pRjR7M,668 +torch/include/ATen/ops/softplus_ops.h,sha256=3ZQLfCoQo77YkhbOc8MSl5B8tjAhPhPVGSpZTndI6mY,1974 +torch/include/ATen/ops/softshrink.h,sha256=KbaBhX3af7zQzyIIhRmRYNsVQ8Lgt465T59MdBhaTzQ,1216 +torch/include/ATen/ops/softshrink_backward.h,sha256=rW1INM-rdKUzTs_nIF61gz2yHl64aKgD0ZrqfurYTag,1551 +torch/include/ATen/ops/softshrink_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=3wp6BPR3KZD_5wBtv441LjL-OBB9oifbc3gEt2eTY24,861 +torch/include/ATen/ops/softshrink_backward_cpu_dispatch.h,sha256=bLAR1XXgeCw7rD_sahvpKF69olVHZrtcaWagQpp3ooQ,1104 +torch/include/ATen/ops/softshrink_backward_cuda_dispatch.h,sha256=34HDbvTWDXHSe--jDmSWh5ofNMzvGEH4Kp2cBIhORwQ,1106 +torch/include/ATen/ops/softshrink_backward_meta.h,sha256=EKvYOsLLJAAHw9IsDRgMr2tOiZ_loIMWdsl14zZR-kg,657 +torch/include/ATen/ops/softshrink_backward_meta_dispatch.h,sha256=RMrTtetoiE_Yb_tX9scUiwK7d8nLQO0y_L5ijIVAork,1106 +torch/include/ATen/ops/softshrink_backward_native.h,sha256=Szqh19IT2YBulhflFgjovmJqX4m5B7hWte5JBXRjuCg,711 +torch/include/ATen/ops/softshrink_backward_ops.h,sha256=xx3oBlj-88azQAliorEBgpQ7WJCknm2CiqHxaRGoRZA,2090 +torch/include/ATen/ops/softshrink_compositeexplicitautogradnonfunctional_dispatch.h,sha256=s5FhbiA_3ZoBewO0Sk-kh3SROi6CbYuhjf1SfRI5vGM,824 +torch/include/ATen/ops/softshrink_cpu_dispatch.h,sha256=lt20fAFHALyCo2tleiMU_VihjRPcuouBRCnMs8VIFzU,975 +torch/include/ATen/ops/softshrink_cuda_dispatch.h,sha256=1YMOzyji6HWxejuF8e6L7YTrP6WHoHdBYmMiy0KwQYk,977 +torch/include/ATen/ops/softshrink_meta.h,sha256=T13W0XRK36Di2ARp1d5HXrIJXjbdATyPhuvZJdHGvtU,616 +torch/include/ATen/ops/softshrink_meta_dispatch.h,sha256=pGH6GMMP-sbvAxElBzqHkObdJOYA7WUisRru5CFnKt4,977 +torch/include/ATen/ops/softshrink_native.h,sha256=ogHDL9aUc37EtH7smC60fQzUrNxkHxuOVzWNU7fgIyY,645 +torch/include/ATen/ops/softshrink_ops.h,sha256=h3hpYB4xgoFTq5X16z3tMS6tP9PwN_-HW1-MYpIBHe4,1794 +torch/include/ATen/ops/sort.h,sha256=Qqh2kizNi5Zc8vpeREfmlDyDC3uBly7DudWYqHA1cnQ,5252 +torch/include/ATen/ops/sort_compositeexplicitautograd_dispatch.h,sha256=OLvtUB29TbaRQl1_YxyXDxJEFQaW3oZqE3qb45HwbXg,1152 +torch/include/ATen/ops/sort_compositeexplicitautogradnonfunctional_dispatch.h,sha256=UZTC-mNfCQ5fem2rDC3zSauo1BpCszPGP_k3qBxHRE4,880 +torch/include/ATen/ops/sort_compositeimplicitautograd_dispatch.h,sha256=LnIEfy6NDJkaOEzY3bYm2tdywUNPuiovuXCMngNlbx4,1690 +torch/include/ATen/ops/sort_cpu_dispatch.h,sha256=RM4T4YKu-yZS5-DcjBBeCSw9z58pbBxRdBFoXast_TY,1192 +torch/include/ATen/ops/sort_cuda_dispatch.h,sha256=82rVC2zmYFu0yUUnr5pWjUZbF1xbBM0jOsma6MXOPhw,1194 +torch/include/ATen/ops/sort_meta.h,sha256=xcylBUsy3mEXPUH-6A3P5u1pwT6VE5wwjd9cLYpom9I,649 +torch/include/ATen/ops/sort_meta_dispatch.h,sha256=y55mPrl9TpzCLReeXmuTuoEIVNQ-8TR4gBtKGejr_j8,1194 +torch/include/ATen/ops/sort_native.h,sha256=diZbv7zsPcLwUfdsroERwC6ruaqNUvzNBPx3nZ2XU60,1757 +torch/include/ATen/ops/sort_ops.h,sha256=TFy5xGQNtBnvFvhd4ba7rMQGaNizTG96e0S1hNh98Vo,7713 +torch/include/ATen/ops/sparse_bsc_tensor.h,sha256=HP5M6yUp0ACjXauGtSLY0KkQZq2Vvhq_jtRGgvfphGs,2955 +torch/include/ATen/ops/sparse_bsc_tensor_compositeimplicitautograd_dispatch.h,sha256=VvXvVusTFRUafxqLcHYqjetczJusPiEywU032XfR0V0,1610 +torch/include/ATen/ops/sparse_bsc_tensor_native.h,sha256=TJFq0Kz_GpH5-zMVTkZkmX1JfoVbRzn0Txmjgnxrw3E,1017 +torch/include/ATen/ops/sparse_bsc_tensor_ops.h,sha256=BTpMJz7YVhiCHP23GgP5b1sX2Y6BwSgvPcIsXCz9ohM,3122 +torch/include/ATen/ops/sparse_bsr_tensor.h,sha256=jrmfYDXqk43bS7RqYMeF-5B-pbYbZCixEMeayVFcWiI,2955 +torch/include/ATen/ops/sparse_bsr_tensor_compositeimplicitautograd_dispatch.h,sha256=RAMsOPks3pnPy2uh3lvo2rSAHwjWaJkhHa8Rc4emd8g,1610 +torch/include/ATen/ops/sparse_bsr_tensor_native.h,sha256=TeeTB_Y0F7c7KiN27u14zd6Jaz0zsM66HJv5sBlLflg,1017 +torch/include/ATen/ops/sparse_bsr_tensor_ops.h,sha256=_dTFgZ2Bd8Q3K2vgTRnqNgbdBkQ-M5IWNmfhN_6Dqf4,3122 +torch/include/ATen/ops/sparse_compressed_tensor.h,sha256=FCqUFNfO3Y1ZCqzXqcvE-CI5eEDDKggUMTZvuH-OUC4,3158 +torch/include/ATen/ops/sparse_compressed_tensor_compositeexplicitautograd_dispatch.h,sha256=AH8Ryc58VUoQS3z7y2A2aR_GV54lQOE-h0jKBLQPVhk,1670 +torch/include/ATen/ops/sparse_compressed_tensor_native.h,sha256=UBaL6KQnZP1_JDVWudHSD21xY3oTI-Wo_Vjh4c52opw,1047 +torch/include/ATen/ops/sparse_compressed_tensor_ops.h,sha256=kQQo69M4VZs7ggysLmE-ZqtUg6rLLEjw2d5ujJFFfQI,3224 +torch/include/ATen/ops/sparse_coo_tensor.h,sha256=pQNi1LLQNssk0A2ipnjbrxIYG4k8KJ3sWZJOvNhinI0,4218 +torch/include/ATen/ops/sparse_coo_tensor_compositeexplicitautograd_dispatch.h,sha256=9W3PeLTEgDIG29D72Gg5alF9BLaVRpGmSiNZDYPxj6w,1171 +torch/include/ATen/ops/sparse_coo_tensor_compositeimplicitautograd_dispatch.h,sha256=TUIMVL5HEYIKaxPd1HYLMgXtG_9MZ5dR2Qd1_7eEGcY,1630 +torch/include/ATen/ops/sparse_coo_tensor_native.h,sha256=pUuWZlWIKnK-z8y0gCj83I9-m_R5skCWk_SXud_6vak,1339 +torch/include/ATen/ops/sparse_coo_tensor_ops.h,sha256=TO2T0QtYgVw2mGVNC3G21cBDRefmchOaNxWCjcj3akA,4772 +torch/include/ATen/ops/sparse_csc_tensor.h,sha256=xma7V8RLru1eINYX2xOCL4bGCDa6fm0AzjE8xhUkrZQ,2955 +torch/include/ATen/ops/sparse_csc_tensor_compositeimplicitautograd_dispatch.h,sha256=bQd9nrTfXAaisRQDMqziJHH2uMc_PaZuLK4QyWPSa0g,1610 +torch/include/ATen/ops/sparse_csc_tensor_native.h,sha256=rl2tqTD1Z18mKHQsh3t9IX4MpdTf7GDOmEuqk1Q6DO8,1017 +torch/include/ATen/ops/sparse_csc_tensor_ops.h,sha256=BtCQrhpc8_QuAEyTes-iXZvNGDCk4Mchjq9ODuekACU,3122 +torch/include/ATen/ops/sparse_csr_tensor.h,sha256=Y15DZGwRiOiKYqHmLHnONDy2KKi3JNYrB4O7Ml91Lo8,2955 +torch/include/ATen/ops/sparse_csr_tensor_compositeimplicitautograd_dispatch.h,sha256=6QvCLkbhx4dHdPFacYu8nUEvKFVYf3sWkvMNfpU4jsE,1610 +torch/include/ATen/ops/sparse_csr_tensor_native.h,sha256=h2iQhB83dpolMOGM9iEjJJCqTWnzqEU2wSBNywU-0zk,1017 +torch/include/ATen/ops/sparse_csr_tensor_ops.h,sha256=CkV55aPRrBYs4PrvwHMioCb9Eu7Pn4GSX_WtxTUh3oQ,3122 +torch/include/ATen/ops/sparse_dim.h,sha256=aiCgw5DedqMwauu9YrZ40jsgschG_lYVp7e05bW46xU,495 +torch/include/ATen/ops/sparse_dim_cpu_dispatch.h,sha256=eRclYwa5BKQtRvvQzKdslGJuVXqgZB3V9zACA3VPOWY,721 +torch/include/ATen/ops/sparse_dim_cuda_dispatch.h,sha256=pKStkhAQQWuWQPwZ_jjhHA9oXNB_s1HVhm96_9-3ZvY,723 +torch/include/ATen/ops/sparse_dim_native.h,sha256=GdrzFnjYh23KpcJjYaoxqI0Eoee5eFyZEd4JSRdu4Ak,624 +torch/include/ATen/ops/sparse_dim_ops.h,sha256=rUJnBEHQgb4RrLw2RaoZb0OCnKX-uy2zA2F7zes7sHk,967 +torch/include/ATen/ops/sparse_mask.h,sha256=lB8uooslANf4UF6gu5_ODRMBU_YrKV2sbZzpeM-8VvM,1003 +torch/include/ATen/ops/sparse_mask_compositeexplicitautograd_dispatch.h,sha256=lZZ8zflSDKJfLpXu_gdweD8WAC1Dx_sysbqpu161Rl4,927 +torch/include/ATen/ops/sparse_mask_native.h,sha256=aKCEq51Efpjz7QT52ByKhQxOJveIsxepOiY6LUKXL2o,727 +torch/include/ATen/ops/sparse_mask_ops.h,sha256=u6I6w_lbYdBbW9TAql2rG6-5HcMgeX-gD-cJNIsO1V4,1786 +torch/include/ATen/ops/sparse_resize.h,sha256=slOaoxoAu7hF9HaYPpANR3utIOAHOGQFr5NO19v4oTg,1508 +torch/include/ATen/ops/sparse_resize_and_clear.h,sha256=voZfO0xM9ucBWzZ7yTajzI8v-Ae7nApC1QstLXenRPA,1608 +torch/include/ATen/ops/sparse_resize_and_clear_compositeexplicitautograd_dispatch.h,sha256=Ls6kS5ml4uGfjC8K_A38ow6ICk7nNTWQCrnhD03DJEk,1179 +torch/include/ATen/ops/sparse_resize_and_clear_meta_dispatch.h,sha256=Km3K7YrJCKVTiJ0gwwqE2nwwLTBhECQcFGYHRg9zdcA,809 +torch/include/ATen/ops/sparse_resize_and_clear_native.h,sha256=C3fxDgfigv2j8LvRoqWLnDOv4zxYvsbrL_oTycT6-_o,874 +torch/include/ATen/ops/sparse_resize_and_clear_ops.h,sha256=hoRh3_Qo02RYuw2cvRBa4k9WFq5DhfYieE3dFn5b9SY,2947 +torch/include/ATen/ops/sparse_resize_compositeexplicitautograd_dispatch.h,sha256=n_ZcqJ29w16qtM-k4Cpydy8AXe696IkrSfxNiXrxO68,1149 +torch/include/ATen/ops/sparse_resize_meta_dispatch.h,sha256=TIW_sMk1jfmUGdgJQGhLs8nk-zLUkVj68Rdgvrr8sfA,799 +torch/include/ATen/ops/sparse_resize_native.h,sha256=IPhgB_NCsqGzXuYNNCrsvepfmO1yQevWnv-DeYhgKlw,844 +torch/include/ATen/ops/sparse_resize_ops.h,sha256=xaB_SUGzP1fmFJ5QZVpsq9P5korOx8Kp_AGZI0MWB3Y,2857 +torch/include/ATen/ops/sparse_sampled_addmm.h,sha256=pZjBGePos7KkoZ82bw0caXY_YSiDhXP0LMYl_ggh6BI,1715 +torch/include/ATen/ops/sparse_sampled_addmm_native.h,sha256=FitxHJc0Kd2tS5HeYKWq5vI234LnUvl6oOTHyIWSeRc,1227 +torch/include/ATen/ops/sparse_sampled_addmm_ops.h,sha256=1PHsPSkKEBdWyqh6uLl3sxC41WOpnKezmTi9oTqrOiA,2355 +torch/include/ATen/ops/special_airy_ai.h,sha256=gt07VkiCTf3Lz7IsRYcxj6KwGJndaMrpwLBWFjS2C0g,1078 +torch/include/ATen/ops/special_airy_ai_compositeexplicitautogradnonfunctional_dispatch.h,sha256=wXLDK7Z1CclTtHXRXETveaiueJ9157ffmycygpScvQ4,796 +torch/include/ATen/ops/special_airy_ai_cpu_dispatch.h,sha256=5eQjksGWxSERuaWFRpjU31bFZsmTRZQBxMC0IHO0v4U,895 +torch/include/ATen/ops/special_airy_ai_cuda_dispatch.h,sha256=2TW-ozb54TT126PSh6oF_e1X_bH_t79z6Fm4RipvYTQ,897 +torch/include/ATen/ops/special_airy_ai_meta.h,sha256=iRil3Qop8fJvNuD2xZD3FmB1SRzrolIIL_LqF6tyicM,592 +torch/include/ATen/ops/special_airy_ai_meta_dispatch.h,sha256=NmhGhErGzoVEo213-MT8hjnQ-Cm_svGG81-JHCOvp5w,897 +torch/include/ATen/ops/special_airy_ai_native.h,sha256=xlqmxn_2RWGy5BuB5Am2BCHb_ZMVxwaT869vnRkfgvY,631 +torch/include/ATen/ops/special_airy_ai_ops.h,sha256=AIYe-2JeFHayAhhoe66l3CKv630FqhAS9GjF_23rh4Q,1626 +torch/include/ATen/ops/special_bessel_j0.h,sha256=p5OWnXlhAKYdSwBj7sDAPJZAUdgEqjQiNLrCdiCE828,1125 +torch/include/ATen/ops/special_bessel_j0_compositeexplicitautogradnonfunctional_dispatch.h,sha256=sUN_-xH6BJrL6zS4TgVstPSH0E3pwzo9MZNAdRWF6fQ,801 +torch/include/ATen/ops/special_bessel_j0_cpu_dispatch.h,sha256=md-EpgEyXeXiy_mvwyWT4yJDS19AqOjGpjVwmJJ48Kg,910 +torch/include/ATen/ops/special_bessel_j0_cuda_dispatch.h,sha256=Q7HboI7OlqdoCdybyuVMqtNP2XRV2Y2UnmZLG6sUaUo,912 +torch/include/ATen/ops/special_bessel_j0_meta.h,sha256=jhkd34OABI2cN5FVE6kCI_0NKQa8B1-txjPb9Kz_R6I,597 +torch/include/ATen/ops/special_bessel_j0_meta_dispatch.h,sha256=4uQZkdZ072Iv32obwR3IqoBqZGG0Cik43tI4jMRfy54,912 +torch/include/ATen/ops/special_bessel_j0_native.h,sha256=2qC1w105NO5VP4l7Z6kqQEQzkRm4ggMHdzJ3gcpVIhk,640 +torch/include/ATen/ops/special_bessel_j0_ops.h,sha256=cy--dhlatCGaB78du1l01I-tP-eb2vaXgLcVUG_rfxI,1656 +torch/include/ATen/ops/special_bessel_j1.h,sha256=m9tS7t3Tfwk9qg0rgn94QbUZjaTqvEEs-7avxsqdgW8,1125 +torch/include/ATen/ops/special_bessel_j1_compositeexplicitautogradnonfunctional_dispatch.h,sha256=ErD3nUgCo-p6Mp4VCz45ATz-DlKhU8fuxhmZEyewvI8,801 +torch/include/ATen/ops/special_bessel_j1_cpu_dispatch.h,sha256=8TOzZvWYktdR2TZMd4LK26IiLRQgKhLNmYQFYiY05-8,910 +torch/include/ATen/ops/special_bessel_j1_cuda_dispatch.h,sha256=hqBs8c0fMmyeml0Jr9AapvDNe2qzynZL9RTSr3xGvMQ,912 +torch/include/ATen/ops/special_bessel_j1_meta.h,sha256=-3zVOe-8Z9OLNHjaG-q04_XMKujkCDinD2v5BYy0Mgg,597 +torch/include/ATen/ops/special_bessel_j1_meta_dispatch.h,sha256=yeICsiXvjKMibwalDoSne8ec9E3uMijJIAyLl8FdZOc,912 +torch/include/ATen/ops/special_bessel_j1_native.h,sha256=X6hkB4KVMTiLl6jpEyh-72L1feeTTHWE70hPYQEX0cc,640 +torch/include/ATen/ops/special_bessel_j1_ops.h,sha256=JWmJAutuBk0bgmt7PqTEGAHs8osimQg6WeITAtZqHVg,1656 +torch/include/ATen/ops/special_bessel_y0.h,sha256=Bp1O5I7C7bdOEJgvTHMKDY05vVyffSzJf_UyKheZmeo,1125 +torch/include/ATen/ops/special_bessel_y0_compositeexplicitautogradnonfunctional_dispatch.h,sha256=yi6XCUAj2a7WKU-aNabw6gk_sjRdkz_Gg-dwijd0n_w,801 +torch/include/ATen/ops/special_bessel_y0_cpu_dispatch.h,sha256=xy4oxo3wDUSeNWnm1X4Cq4EcZZY1Ex1Ybl_tzyfiW1U,910 +torch/include/ATen/ops/special_bessel_y0_cuda_dispatch.h,sha256=LbI3vgcJWlxI0NAdQbexwcYN-eBzFSQbUC1YIjFKoyk,912 +torch/include/ATen/ops/special_bessel_y0_meta.h,sha256=NaDR-35H9sJxHpFNfX_rzhTl39k53Vkw5qFbSgK69Ag,597 +torch/include/ATen/ops/special_bessel_y0_meta_dispatch.h,sha256=6EP2Q1rec2ncPr2f9KnicSI68aC5VcvbxwSlM8WC-Vg,912 +torch/include/ATen/ops/special_bessel_y0_native.h,sha256=kAn1QlefIuyABvzWn8Iwnz18LDnUFFShDv81mnPOXM4,640 +torch/include/ATen/ops/special_bessel_y0_ops.h,sha256=jrC5FsFWgmfVRSqyCDMlHQkNagsoJz_-7VTYnAfd-co,1656 +torch/include/ATen/ops/special_bessel_y1.h,sha256=rWqz3XNXnQYQPGZ5JWsRlaT8rOhXyX4v5e9nZe3JXF0,1125 +torch/include/ATen/ops/special_bessel_y1_compositeexplicitautogradnonfunctional_dispatch.h,sha256=WIZS4xuLu5ouddWjpdxEia00so8BiNpaOlUXqm9dnDU,801 +torch/include/ATen/ops/special_bessel_y1_cpu_dispatch.h,sha256=k87LEe8Edev-dG_fp59c_d14FnWlD_yi6mmwvLH8niI,910 +torch/include/ATen/ops/special_bessel_y1_cuda_dispatch.h,sha256=2iNoCFgKh3L0DU7aX-Ig34eKG2qpoBLISuOX8z77BC0,912 +torch/include/ATen/ops/special_bessel_y1_meta.h,sha256=OjZtP3rHz7iUyCX8FzptDIY0MAqxZl976OOjaq3ik3c,597 +torch/include/ATen/ops/special_bessel_y1_meta_dispatch.h,sha256=TI8SUHiOBuSLjevY95zeT1NnmCCMRRhKtlnbmdTml-0,912 +torch/include/ATen/ops/special_bessel_y1_native.h,sha256=0Ma8asgO_YLJg5yoT0OajCpnRQqURsQBn5x7FjI6X5Q,640 +torch/include/ATen/ops/special_bessel_y1_ops.h,sha256=BMo9LV0RmzcsE2BdrirFpnr7QU_ukNeCCSm8AHSedbg,1656 +torch/include/ATen/ops/special_chebyshev_polynomial_t.h,sha256=kbHd6Lvz4eE794VtVI2B8tfmm_jJ98N0aAEcOnMFLSM,3079 +torch/include/ATen/ops/special_chebyshev_polynomial_t_compositeexplicitautograd_dispatch.h,sha256=VpDsIQwFNz9o04cPtTZ2pPp7LbTIgbQ_rmxgVy4KQdM,1390 +torch/include/ATen/ops/special_chebyshev_polynomial_t_compositeexplicitautogradnonfunctional_dispatch.h,sha256=2uRZ8wcT-VRmiclvi7iRTIZzwODjUEn2Ml7F0mPzl1A,833 +torch/include/ATen/ops/special_chebyshev_polynomial_t_cpu_dispatch.h,sha256=Pwops8mIBXgfxvHO9g9TE4CA7JKLBB6rupzSH62rIlM,1006 +torch/include/ATen/ops/special_chebyshev_polynomial_t_cuda_dispatch.h,sha256=3GdWBz8i-WDyvLvim-oiv2zz9ijf7Bo40U6yPyn6wc4,1008 +torch/include/ATen/ops/special_chebyshev_polynomial_t_meta.h,sha256=jlMWbAoqVp3Urdd5nswJzMKDD1cAYKU3k-QeBa3S8sk,629 +torch/include/ATen/ops/special_chebyshev_polynomial_t_meta_dispatch.h,sha256=3rpaIPQMlrDAYT0928BMWPgPLGpCpnCcGTDa3YRYdNs,1008 +torch/include/ATen/ops/special_chebyshev_polynomial_t_native.h,sha256=rCGe5NM3QNco0GAhrXchikheA76ONTWyo3Jp1FR6rBw,1134 +torch/include/ATen/ops/special_chebyshev_polynomial_t_ops.h,sha256=cMOUsI8YCSTJaDxx5Oh2uHkc_XDOWYLyEBdOM_UAreY,4830 +torch/include/ATen/ops/special_chebyshev_polynomial_u.h,sha256=8oEQpxIymdCome9UZuBJn-fwAbsLTaxBs7kylfeMlAo,3079 +torch/include/ATen/ops/special_chebyshev_polynomial_u_compositeexplicitautograd_dispatch.h,sha256=0heZjuv7fa0_5AVSsrmT-P6AJLCiqpvMYHmflp6mY-Y,1390 +torch/include/ATen/ops/special_chebyshev_polynomial_u_compositeexplicitautogradnonfunctional_dispatch.h,sha256=MBfUz24uIavssctq6hpI1-nu8GMYnIIxWxIs2WzJFPA,833 +torch/include/ATen/ops/special_chebyshev_polynomial_u_cpu_dispatch.h,sha256=j_7L8vpq0C99C7cuWaLL6Bpa9WSS51J24ZBD1bhX6XQ,1006 +torch/include/ATen/ops/special_chebyshev_polynomial_u_cuda_dispatch.h,sha256=yvk6Ai46pk8DrABh6vsAXnV5dVvdFRyYqts6Th2FEyc,1008 +torch/include/ATen/ops/special_chebyshev_polynomial_u_meta.h,sha256=-D9fVQWkvdLBaZEPQlKHWJC8mPApd95Bhv6_sBnPWxc,629 +torch/include/ATen/ops/special_chebyshev_polynomial_u_meta_dispatch.h,sha256=7JSc9wJBBM5Wnw0IasGJPrXaT-B5rUFKOSH8iss3AOw,1008 +torch/include/ATen/ops/special_chebyshev_polynomial_u_native.h,sha256=eErrULKwX5mpm928WV7oMtjWRHf6BUeXr_UcpFTwX_I,1134 +torch/include/ATen/ops/special_chebyshev_polynomial_u_ops.h,sha256=bLKWwrqeyACCLugJ-g2oLEkuruLjj7B6J6wxqFMSFko,4830 +torch/include/ATen/ops/special_chebyshev_polynomial_v.h,sha256=Utx9obKGJnD1jRrEQdgVdTb8JK7g4bfhjDqcc9TWnh4,3079 +torch/include/ATen/ops/special_chebyshev_polynomial_v_compositeexplicitautograd_dispatch.h,sha256=6J2FsUG9MKVeATJbjKUtk8z8My8Ph_s3j9j3RxXCSzY,1390 +torch/include/ATen/ops/special_chebyshev_polynomial_v_compositeexplicitautogradnonfunctional_dispatch.h,sha256=9cvNUDRc88CLFGJgbTPmB5VFqI3PA63r6V8N3O0TO00,833 +torch/include/ATen/ops/special_chebyshev_polynomial_v_cpu_dispatch.h,sha256=J7-BFd21sJu1WT5axGZtIttcx_kks55fmQCFeAOC2zA,1006 +torch/include/ATen/ops/special_chebyshev_polynomial_v_cuda_dispatch.h,sha256=U3YvcI9RAhQv7aDOUzvZna8m1Vdezpw3tU6u6RlpxoY,1008 +torch/include/ATen/ops/special_chebyshev_polynomial_v_meta.h,sha256=SeAOK3o7ljl_-iGNKAywcPXTiZcsqQreFbY6IU4eYeQ,629 +torch/include/ATen/ops/special_chebyshev_polynomial_v_meta_dispatch.h,sha256=uOtifp6hnOSb3ckBjqNUxA-hjs0RRxfgRyU5cgb-zrc,1008 +torch/include/ATen/ops/special_chebyshev_polynomial_v_native.h,sha256=-KG9nX3TlYwN8LBTvhXpVlBS759KrqqX6XC6BAm7GTo,1134 +torch/include/ATen/ops/special_chebyshev_polynomial_v_ops.h,sha256=CV8SH3zVzAUpXpelUM1U8Y03pcRk9nogwXo1MIwf5M4,4830 +torch/include/ATen/ops/special_chebyshev_polynomial_w.h,sha256=TIcKgRDpAMGeBPF_uAdE-hkgwe-4J961Fm88wcjDTg4,3079 +torch/include/ATen/ops/special_chebyshev_polynomial_w_compositeexplicitautograd_dispatch.h,sha256=1uYSq3PS-9ey1SThcT-5qEdiDcrf-ecImvEsyZzf3cg,1390 +torch/include/ATen/ops/special_chebyshev_polynomial_w_compositeexplicitautogradnonfunctional_dispatch.h,sha256=u5QPrFza1uFoaT5OaloEFEHLJTjGrqxobHkOM63mfm0,833 +torch/include/ATen/ops/special_chebyshev_polynomial_w_cpu_dispatch.h,sha256=YEvt-BjUt2aS_cqqekfex0HNkwDOQ7vM4e426fYePZM,1006 +torch/include/ATen/ops/special_chebyshev_polynomial_w_cuda_dispatch.h,sha256=9BNxFogiA1iKlXdhkbEHIqPciA8B_o5iUKij2g95jo8,1008 +torch/include/ATen/ops/special_chebyshev_polynomial_w_meta.h,sha256=qm34gQ4ySuQW5swMqmKcNHxkvnG5vgO1UeqC4-uycRk,629 +torch/include/ATen/ops/special_chebyshev_polynomial_w_meta_dispatch.h,sha256=QoBjRSr8ZP5i8nFIyOCdUt3dz9GLBKdXehj65hsnwpw,1008 +torch/include/ATen/ops/special_chebyshev_polynomial_w_native.h,sha256=1Cxxg2qg5yBPFNnVvkAmKI074RDf_EzRBYPSyZMCT-s,1134 +torch/include/ATen/ops/special_chebyshev_polynomial_w_ops.h,sha256=0HDmhkqyXi_7n6Lr9OV304fnJKsrgZygTRJb6p3nXDM,4830 +torch/include/ATen/ops/special_digamma.h,sha256=fImRFybIzgAtR9ezpN5KYqTbaoxOkl_JskZzv-bmRtg,1105 +torch/include/ATen/ops/special_digamma_compositeimplicitautograd_dispatch.h,sha256=6w44bSSTZmKE1ZDj3hDLW4hkMwRlnDMFeP-ewFOcl8g,948 +torch/include/ATen/ops/special_digamma_native.h,sha256=BkQwcNokfT9ljOQELApp5beFqQKAgnlCfwlxIoQ2WM4,583 +torch/include/ATen/ops/special_digamma_ops.h,sha256=zvyNnX6tj-R9vMi9MgjRA3WOPS-EpD4rmmtXpGBSCT8,1644 +torch/include/ATen/ops/special_entr.h,sha256=HGcPkIM3gORuIrc1_dHmgjxpX6KA3n-c1ICdkB8XDbM,1075 +torch/include/ATen/ops/special_entr_compositeexplicitautogradnonfunctional_dispatch.h,sha256=KjDfuVMyVbkHAwN2bSyu2BCmbaYdD8tiG_OjT_P_x6g,796 +torch/include/ATen/ops/special_entr_cpu_dispatch.h,sha256=McR2Tw-PN0ls7ZM9RiN59USoxJnD2IIsfGZCyzwzrCI,895 +torch/include/ATen/ops/special_entr_cuda_dispatch.h,sha256=uTIkz7f9Md5faUax6Vbf_aX3vd4gycNxVcEwaEBhnWY,897 +torch/include/ATen/ops/special_entr_meta.h,sha256=sgigZgf6yYB0uDAkw5iYvnk1K8rXQGGbcDoE4LRlT_Y,592 +torch/include/ATen/ops/special_entr_meta_dispatch.h,sha256=qBJhu0Z-NTtoEhORfsjVO_gy8uXspvtIafFig3bPjhs,897 +torch/include/ATen/ops/special_entr_native.h,sha256=X2d58KY1bK1Bb22ujz2ZLQpacd_APBmzj0c05cCvd_8,625 +torch/include/ATen/ops/special_entr_ops.h,sha256=xVOKZWhRpQNqf1bWHldXPBQvVAp3OJjDNNhBvRDca5E,1626 +torch/include/ATen/ops/special_erf.h,sha256=FDEqxrP8HISwCPYMNmTOqFjk_MGOVmfgXRO2uWJ6SHI,1065 +torch/include/ATen/ops/special_erf_compositeimplicitautograd_dispatch.h,sha256=LXyIpJtkmL8sWHfvO4zyFbhysvzz-HDTaoyOACIdlzg,936 +torch/include/ATen/ops/special_erf_native.h,sha256=9LhOv9DvGjlaKADPxMelj8V2i2XlqB68osTbRUf5gWU,575 +torch/include/ATen/ops/special_erf_ops.h,sha256=uM5_oNMDyUx9hBGHBvRCxlfxqet1y4TtYcZDSpyMG94,1620 +torch/include/ATen/ops/special_erfc.h,sha256=FeWNYd5D2XHfPwF2jA-VQ6F4u7t9L368Atu1gc9oocg,1075 +torch/include/ATen/ops/special_erfc_compositeimplicitautograd_dispatch.h,sha256=7VfX4Vi5s0HJhP1JBbeCaPpfd1ToMQ2CllbU8mMuZoY,939 +torch/include/ATen/ops/special_erfc_native.h,sha256=WNlJduQXwHpfUIEG-5u72D18Yn0cBJZgqnom-w1obSc,577 +torch/include/ATen/ops/special_erfc_ops.h,sha256=vubcDnnx_6VuFANCDUo8CHyuBBfRTmbK8_dyVWebuW0,1626 +torch/include/ATen/ops/special_erfcx.h,sha256=G5W_4EuinCAZBF8EfoiI3g4LBNL2Rrc9c-38N16VCSA,1085 +torch/include/ATen/ops/special_erfcx_compositeexplicitautogradnonfunctional_dispatch.h,sha256=oUGC1DgJYkoP7bsHoaoErmaG2Rh0IJGSw7TkuVdbORM,797 +torch/include/ATen/ops/special_erfcx_cpu_dispatch.h,sha256=-PMyWWGc4qpjY2VsgmVsW2rN3NzjFMJlA24EOBNPbgk,898 +torch/include/ATen/ops/special_erfcx_cuda_dispatch.h,sha256=h64IJWxMneBUlrl1qBI260TcM9-oujtC5gJ-nTKji1I,900 +torch/include/ATen/ops/special_erfcx_meta.h,sha256=vCenG1FKwYQf-albTi1gxd54tIpZGI4z9Q1HmItdTVc,593 +torch/include/ATen/ops/special_erfcx_meta_dispatch.h,sha256=YsnhB4hBJwdoRCUgoZ9GJHp9Zq7w0pkZaD1-TOFpTtY,900 +torch/include/ATen/ops/special_erfcx_native.h,sha256=MShmW0C4dxM28AmoSp-lo7cDBZK29t4eDqQ0B1JhTEA,628 +torch/include/ATen/ops/special_erfcx_ops.h,sha256=cSKw_y-fAPBWI2ksgLe8SNTOh0lPM0sza-Izv_GhnTU,1632 +torch/include/ATen/ops/special_erfinv.h,sha256=dDX4UNcA_OLwp8GCHHBLVxdJS3Z6YsgVvi--V8xhAHQ,1095 +torch/include/ATen/ops/special_erfinv_compositeimplicitautograd_dispatch.h,sha256=RfLsNZLPvJFL_W82R-WqbREDQheGBxutpM2tLKCt-bM,945 +torch/include/ATen/ops/special_erfinv_native.h,sha256=H4rn_6uL4zlBiCi7akks7Ar3SZiSnAbhLO1lX1E4M5g,581 +torch/include/ATen/ops/special_erfinv_ops.h,sha256=LKzCkmIxYOSMCkCOBClyXRDYRMk7y_NI3OWM3NBYtUg,1638 +torch/include/ATen/ops/special_exp2.h,sha256=UjsNH3tDQ6a_JrrY13lYsluDUjt_QAO6uLd5p0Drh48,1075 +torch/include/ATen/ops/special_exp2_compositeimplicitautograd_dispatch.h,sha256=F0aiY7TNNLmvPFPF1kBI-9yw0MfNKAAYJ_iZJb_P1CI,939 +torch/include/ATen/ops/special_exp2_native.h,sha256=WlNB8buS4UP7o8bPsOgUJVFMOsciYlhdYNOHjtsf5KU,577 +torch/include/ATen/ops/special_exp2_ops.h,sha256=hES-uw9i4UNMSv2hkIISLeruKdb5EmVnjun5yZa95Ms,1626 +torch/include/ATen/ops/special_expit.h,sha256=yB3j_5_y-2T4klpy9l3039ktURJK3_i0tfXRxXUVwr0,1085 +torch/include/ATen/ops/special_expit_compositeimplicitautograd_dispatch.h,sha256=zLWyfpT6oltRy4hTiJCODeKw3F4sEl7O6QLlkdPhmRg,942 +torch/include/ATen/ops/special_expit_native.h,sha256=qTnY0GfUmNmJTDl6gb3Ns5ozrpuogmVTqB2k7utu95g,579 +torch/include/ATen/ops/special_expit_ops.h,sha256=4ywvtPRCyTFbpeiuFA3AmwX_fI8-xaPONMqPgoQjT_8,1632 +torch/include/ATen/ops/special_expm1.h,sha256=ZSAJ-Pm4np-tZl96YdbMXG2Yoy4l27CBjtukgXroJH0,1085 +torch/include/ATen/ops/special_expm1_compositeimplicitautograd_dispatch.h,sha256=jbGsPGS3jR9Dw7iHdLF_pwpkyI3JN4QcQvqzCDOE1G8,942 +torch/include/ATen/ops/special_expm1_native.h,sha256=7eWlT5UN4aYHP5ul0VwHLybLVN5Ob56EdzSJwj0HRv0,579 +torch/include/ATen/ops/special_expm1_ops.h,sha256=Ic9IUX5-IvheDCfhGNbAzl1UHicKQeuBxdyApsNiwtM,1632 +torch/include/ATen/ops/special_gammainc.h,sha256=Dm4qHYSZh93qIauiJNUISTdyvf9KMNeV33Kh90U-ydE,1256 +torch/include/ATen/ops/special_gammainc_compositeimplicitautograd_dispatch.h,sha256=UR3bqb2Ns6VYkHEJQTdM31uRgNXNDWEgFIH7aJPJxuw,1029 +torch/include/ATen/ops/special_gammainc_native.h,sha256=k3K1Uckdsktb4RGn393pPXRPCtZQ23qFocaIwzed7JE,637 +torch/include/ATen/ops/special_gammainc_ops.h,sha256=YFoYTS-Vui2IXs3TSDtI97GShGK62Hy6QQlVOh_75Uo,1822 +torch/include/ATen/ops/special_gammaincc.h,sha256=l_LeHIoNi690iG5P6jNf0mgqHP5y-OSL3j1H2GVfM9U,1266 +torch/include/ATen/ops/special_gammaincc_compositeimplicitautograd_dispatch.h,sha256=WjrBNFqp5eMRJMcsGkTf5PfwKYnh7jyVEs7RmKc24Rg,1032 +torch/include/ATen/ops/special_gammaincc_native.h,sha256=nzVqNQtZ18SI3OSjNUpLbc2CU1IXt0D2_ewMEhRkHto,639 +torch/include/ATen/ops/special_gammaincc_ops.h,sha256=15v-RjiX_HMKSmA6OoHGpfMqEjEKo2scQcMIMDPS9rU,1828 +torch/include/ATen/ops/special_gammaln.h,sha256=Ltr3FR40oz4LrOUrpZSeR3CmRMtT1HkvuOTtZARTiuU,1105 +torch/include/ATen/ops/special_gammaln_compositeimplicitautograd_dispatch.h,sha256=hAn1wR_BMq-a8NzzClfSKgaCpw_kjo1LQGEtMyk-8Lc,948 +torch/include/ATen/ops/special_gammaln_native.h,sha256=lUhlNKwPThgD9Ggn-dSf8zgejGo0lEoCjvQsN8C96KA,583 +torch/include/ATen/ops/special_gammaln_ops.h,sha256=scQvLM18aOXzB5AZugfebq7Dy5QkECmdw9MclOgv7FU,1644 +torch/include/ATen/ops/special_hermite_polynomial_h.h,sha256=v-o-in134Idub_xADNS5LRmKfymTouj0LFHvKwr0Nvg,3023 +torch/include/ATen/ops/special_hermite_polynomial_h_compositeexplicitautograd_dispatch.h,sha256=AanUrIkI37hSFJTv10akpZmhHxKqGn_0HsK3h-s6SV4,1378 +torch/include/ATen/ops/special_hermite_polynomial_h_compositeexplicitautogradnonfunctional_dispatch.h,sha256=swBvyPyyLRgoA7CsP3p3he2c5T8-ZIupTO8674pbJB0,831 +torch/include/ATen/ops/special_hermite_polynomial_h_cpu_dispatch.h,sha256=aHvWfOMs6yuooiZy1D0ibSnXiLZVg1ZVvsg0_uV4B2k,1000 +torch/include/ATen/ops/special_hermite_polynomial_h_cuda_dispatch.h,sha256=iG6l52b3uKWMUm33dOgBF0FFgfpdi7YcHuLZcZNyjz8,1002 +torch/include/ATen/ops/special_hermite_polynomial_h_meta.h,sha256=EhP6a3BGaWHVnWzvoNZXXxxcLAcAS51F-zkpwoEbOqY,627 +torch/include/ATen/ops/special_hermite_polynomial_h_meta_dispatch.h,sha256=gXkYp_tbQc_G5MHf3-DktLl8mr2HSVUZ4Vkl954Ircc,1002 +torch/include/ATen/ops/special_hermite_polynomial_h_native.h,sha256=89xU2JFwvQ1CgeZKLRYiCPPQJFC7jneAIF-jUyNBcJs,1120 +torch/include/ATen/ops/special_hermite_polynomial_h_ops.h,sha256=l9G-1UuNOWLPDg9RjqZu87Fey_QJCCc1I7xaI-g15zk,4794 +torch/include/ATen/ops/special_hermite_polynomial_he.h,sha256=42_Zj1_MDKlI4ZqnBsNGzknlRHswwlpmL0sX7LAnK5k,3051 +torch/include/ATen/ops/special_hermite_polynomial_he_compositeexplicitautograd_dispatch.h,sha256=A316dOAobAqpM6DHX8vYkn-UL1bR964IVXUGLTUVFpQ,1384 +torch/include/ATen/ops/special_hermite_polynomial_he_compositeexplicitautogradnonfunctional_dispatch.h,sha256=S_If2JhnUk95N3pFflFSFYixYO_wluYXF4VetvNyuhQ,832 +torch/include/ATen/ops/special_hermite_polynomial_he_cpu_dispatch.h,sha256=EAO8DuqY7mNku7MlGD0WRgJA_tl6oK5jEsUsP3rXZNU,1003 +torch/include/ATen/ops/special_hermite_polynomial_he_cuda_dispatch.h,sha256=z08zVsqCjdwEqxt6yP4ZCpzzebXaVill_eTrbTQw8kM,1005 +torch/include/ATen/ops/special_hermite_polynomial_he_meta.h,sha256=SnGV_sFsNbCu_WRNK4E-PgmHpUQT9vnBhVR5X6gvJIM,628 +torch/include/ATen/ops/special_hermite_polynomial_he_meta_dispatch.h,sha256=IKHgF0NnGFI0g7m81VIBs3Ow7mA6Pqaxa7S9c0yAttM,1005 +torch/include/ATen/ops/special_hermite_polynomial_he_native.h,sha256=-wMYiryCg6XDKaFbY8su3GPms6vqgG6LqwAm1Se7pj0,1127 +torch/include/ATen/ops/special_hermite_polynomial_he_ops.h,sha256=FTrLv8U7BXWNVwxeK9FBN0hROpneh-97Ldpp5LEMmCE,4812 +torch/include/ATen/ops/special_i0.h,sha256=8GjJOQDc9kT_QomiMx6pkO0H3Gvi_M9vywQXyJxmwNs,1055 +torch/include/ATen/ops/special_i0_compositeimplicitautograd_dispatch.h,sha256=ibY7ZlRGRZZ65j7WpN2ayj6wjEb2mfp2NXVoP29m2Ls,933 +torch/include/ATen/ops/special_i0_native.h,sha256=GmHDOaU4TfLiRqGTcOEV3i5b7m07RBHdTmF28LAMQPQ,573 +torch/include/ATen/ops/special_i0_ops.h,sha256=cuIFuamyGK402XKJ75dsKEGyldGU1R2mDyjPPUkxyXI,1614 +torch/include/ATen/ops/special_i0e.h,sha256=y07XsAx_zGMc5LPv-wq1PF4iS4Rf-MBhUxTskzW1ufM,1065 +torch/include/ATen/ops/special_i0e_compositeexplicitautogradnonfunctional_dispatch.h,sha256=NSQBbBZMMw7qtku-SGq3OKeAZtr8G8WeNuLBN6hAbrk,795 +torch/include/ATen/ops/special_i0e_cpu_dispatch.h,sha256=PZYXMweF5rHdNV56LKtYyIhHzQ-d123DOUMVvCgZ0i8,892 +torch/include/ATen/ops/special_i0e_cuda_dispatch.h,sha256=-5xBTZnY-Qq714DWuItlqQgOCuSc4jIYzDvJgqfws70,894 +torch/include/ATen/ops/special_i0e_meta.h,sha256=zGgGFwXsSFt2KOS90YMLH6RuZg6JHzUWLRBCm1FjTug,591 +torch/include/ATen/ops/special_i0e_meta_dispatch.h,sha256=ntwsVqswnn85egNYDVgPU_pEkNWAtNIDrPgaQOWlL4k,894 +torch/include/ATen/ops/special_i0e_native.h,sha256=dtnGUaAhQ2zrWi04dSMmbGX1qlzen7lHwdy7wgYl_pE,622 +torch/include/ATen/ops/special_i0e_ops.h,sha256=EQTREZ-Y7tnd6gXkjMpNB-tPbmAH_C_T5Wr6MZ4Eal4,1620 +torch/include/ATen/ops/special_i1.h,sha256=Y5e8VcEts-cYfOORc62aKn4-qUGZoi5UGDF3iyU49Fc,1055 +torch/include/ATen/ops/special_i1_compositeexplicitautogradnonfunctional_dispatch.h,sha256=fQxWBf1SGPf8nNY2M5yagDETxXeIjGkwUJd4IvdUzDA,794 +torch/include/ATen/ops/special_i1_cpu_dispatch.h,sha256=i4E72MJwNH617AOJcu4xUNqSJJwR32hA6RXpLBkmhVs,889 +torch/include/ATen/ops/special_i1_cuda_dispatch.h,sha256=5s4xuDgy7sscUnwtIPZukrcB9KORrj4iVZTj1Kjxxfk,891 +torch/include/ATen/ops/special_i1_meta.h,sha256=jovIk3YD0vHH_mnLM2N9j9R2HAa6XJ8JMgqIqBqpGik,590 +torch/include/ATen/ops/special_i1_meta_dispatch.h,sha256=HeD0y25IzkJ51K16PQqlKQ5njfSwMRx7XvdYH0LySvs,891 +torch/include/ATen/ops/special_i1_native.h,sha256=Ed2h3HNuo-kwxdZ9ZrjBx8cHA0WQToMb5vxhcKTDETg,619 +torch/include/ATen/ops/special_i1_ops.h,sha256=7Jv716TUciZ-hlfkjph92DhFHWL8DhbW_QXueFybOtE,1614 +torch/include/ATen/ops/special_i1e.h,sha256=IGSmZfHLdmJdba1uvKNBFFnH09pZk3jOJOPXN46fPnM,1065 +torch/include/ATen/ops/special_i1e_compositeexplicitautogradnonfunctional_dispatch.h,sha256=o05RBzmqTnWMQs5ONUUBiCrWUz_T4YvJihoQWInsC7Q,795 +torch/include/ATen/ops/special_i1e_cpu_dispatch.h,sha256=ibSYEnHh7G-MvopZMljLKQy8tpzgSZ3-ZCELTXPooAo,892 +torch/include/ATen/ops/special_i1e_cuda_dispatch.h,sha256=n_Me5OC126v09hW4lrzI1djyAlqp0CchnECh8a5mR5Y,894 +torch/include/ATen/ops/special_i1e_meta.h,sha256=APhaLDcVHV732Pdkb4aKuwMvvqcbDtwbN5n9R3lR0ak,591 +torch/include/ATen/ops/special_i1e_meta_dispatch.h,sha256=i0JPXilT0kpxzILbdUzJrXDA7Z8RzOkh7nr81lOhK0w,894 +torch/include/ATen/ops/special_i1e_native.h,sha256=siaT3y4IWFMtYRuPTnvdhYdc-V5gjrEYyCmdlxe09Zs,622 +torch/include/ATen/ops/special_i1e_ops.h,sha256=Ralx8u0c9kFGZ5vRy7HgyrTi0JQHbv-ID8G2dB6VPn8,1620 +torch/include/ATen/ops/special_laguerre_polynomial_l.h,sha256=CjMYpmNrvWr76z5ekM2WVUTR2IZOwmcjX9--9wRHREw,3051 +torch/include/ATen/ops/special_laguerre_polynomial_l_compositeexplicitautograd_dispatch.h,sha256=oL8oD-J6rBm1bMClvOFWRXtuUXMQPbsfhn3NXSErwv4,1384 +torch/include/ATen/ops/special_laguerre_polynomial_l_compositeexplicitautogradnonfunctional_dispatch.h,sha256=P2AYbfKeZoasu9IA5LnQXYMvKr4mcn4hSSrD9YhfTXA,832 +torch/include/ATen/ops/special_laguerre_polynomial_l_cpu_dispatch.h,sha256=8qWQhqj7r2vrbj4potQdc8xyGKhCzgCUqba-DeNcyC8,1003 +torch/include/ATen/ops/special_laguerre_polynomial_l_cuda_dispatch.h,sha256=xSUPWtXWQkUWh623zTcY-8q3QVW8D7koGmlIc0Pzx-s,1005 +torch/include/ATen/ops/special_laguerre_polynomial_l_meta.h,sha256=Vfh10a9JybYEx1t6vwee6EJhk9bnr9ZITvAcGRG2-_o,628 +torch/include/ATen/ops/special_laguerre_polynomial_l_meta_dispatch.h,sha256=PU-mKJD_HbTwLXZP37dPraUziXr7V7b6j5uQO8Q4Dbw,1005 +torch/include/ATen/ops/special_laguerre_polynomial_l_native.h,sha256=0IbC-YKKjZ7bhNKJ2aSLGj41U4e_ulyiSi2-2yxHY-0,1127 +torch/include/ATen/ops/special_laguerre_polynomial_l_ops.h,sha256=nEHZDgRnXeQVxKeVjffxr4XXkBo-Qmczs-l_AJvXJmY,4812 +torch/include/ATen/ops/special_legendre_polynomial_p.h,sha256=Wb8xW3DP_i4ZeHYnFrCvfaFekz1nrWkdltmu4G-FUT8,3051 +torch/include/ATen/ops/special_legendre_polynomial_p_compositeexplicitautograd_dispatch.h,sha256=v4k_IW3h5mIVXC-Yld3gVAY0ZVSSzorYUEmcCw8zUmo,1384 +torch/include/ATen/ops/special_legendre_polynomial_p_compositeexplicitautogradnonfunctional_dispatch.h,sha256=WJ4NXiY-HODQcIPIeKKIqeCPGUSe-rtKCTG7eOoGJE0,832 +torch/include/ATen/ops/special_legendre_polynomial_p_cpu_dispatch.h,sha256=rMzkXojw_UFEbtv37ljvw39uSwCm_eneOUTSW8_ZPS8,1003 +torch/include/ATen/ops/special_legendre_polynomial_p_cuda_dispatch.h,sha256=6_aBcam1NOo0Rffz-2Onljww770_ifYYEh38tEsTRMc,1005 +torch/include/ATen/ops/special_legendre_polynomial_p_meta.h,sha256=lIyjKH6OP_srsSl-MrMY9RWiyJIDhXgjyaALdrj7UiQ,628 +torch/include/ATen/ops/special_legendre_polynomial_p_meta_dispatch.h,sha256=F31HVELU-CO4jkvo0ia_REk_p1Ah24hHMsvgoF46eu4,1005 +torch/include/ATen/ops/special_legendre_polynomial_p_native.h,sha256=_66kHwTSl5YBefM-MdzfnmwDSQPtxfjqS2UzAOPAuTA,1127 +torch/include/ATen/ops/special_legendre_polynomial_p_ops.h,sha256=u6voIVfiA5l5fif_8H8bbS7RTHIOJCJJ_JCkWZUuFE4,4812 +torch/include/ATen/ops/special_log1p.h,sha256=0iiEaypeCyvT8eq10b9dww1ztKarbbSf-x4vQkyK7B0,1085 +torch/include/ATen/ops/special_log1p_compositeimplicitautograd_dispatch.h,sha256=dA5Md7NFpvtf9_Eq2S6Z9ZHG4BbGMp2mTOrtfv0WOCo,942 +torch/include/ATen/ops/special_log1p_native.h,sha256=MqP3wL3mqP9ZZU48tbMdXe0RdgJcgmyGY9HmVQhom0w,579 +torch/include/ATen/ops/special_log1p_ops.h,sha256=ZaDyVd5p5twXVmIescoEiJXVIKOsHpLKRhtWNSfVdYQ,1632 +torch/include/ATen/ops/special_log_ndtr.h,sha256=0JSr9Ku3-mWv4YTZ3Pl3766SLpemIoZFfwUdFosIoGU,1115 +torch/include/ATen/ops/special_log_ndtr_compositeexplicitautogradnonfunctional_dispatch.h,sha256=iiv-Xu799BLI1CcYa-xBmNh87WmM9YBYQlvxx22cz1k,800 +torch/include/ATen/ops/special_log_ndtr_cpu_dispatch.h,sha256=aZ-t2T-N3-IKF47DPQGKE0Yg65l-z09ds7aRJahEN2o,907 +torch/include/ATen/ops/special_log_ndtr_cuda_dispatch.h,sha256=ll7Pxu5LEo4IsYAvHiG5wNe7nRSJSxiAtboO4iagr1Q,909 +torch/include/ATen/ops/special_log_ndtr_meta.h,sha256=oBbz-y9tD506-mJ-rMlhiZaDKUJii2abVajXWVBoRGo,596 +torch/include/ATen/ops/special_log_ndtr_meta_dispatch.h,sha256=p-cV0kYYDijY4J1dmWjtKEdAey60AsndLeWH5pL7VNc,909 +torch/include/ATen/ops/special_log_ndtr_native.h,sha256=hvWK3tpTFLtMiX2n9RL2ukE0HCONIWkMwBvEzilrZHk,637 +torch/include/ATen/ops/special_log_ndtr_ops.h,sha256=VA5Ev0Y-PPunDfyPGDdWOQPvz1t13z0-svB0Ktj66zk,1650 +torch/include/ATen/ops/special_log_softmax.h,sha256=z0eP7rRxl61GuYxp3MYJKb3HBV-ZF1mK6zBtYEeed4o,788 +torch/include/ATen/ops/special_log_softmax_compositeimplicitautograd_dispatch.h,sha256=NCUT7p3I2mY7DPvGov9cyJ2PadXOuInWYlNuRVkf63I,840 +torch/include/ATen/ops/special_log_softmax_native.h,sha256=nQzh2arDULStwQwmgrtkKEWFLUIbQNjM9UG6tL_oL3Y,563 +torch/include/ATen/ops/special_log_softmax_ops.h,sha256=yKAP0iYIAteqzkEvvL6ahPehqNFMsIKL6JuWusCj0SA,1182 +torch/include/ATen/ops/special_logit.h,sha256=Tp50lfi-uh0EVL_iiMmLC8-a8iFrM5KwsGhvMZXmqiM,1258 +torch/include/ATen/ops/special_logit_compositeimplicitautograd_dispatch.h,sha256=RP8UCYxROesJLmJ9tZZp7U9Y5QXNFUuY-Lheeh3KSc4,1049 +torch/include/ATen/ops/special_logit_native.h,sha256=vbHm7MLxJaZ8yZnFvLEOeg9UTl_lKJSUc59gvwih9K0,646 +torch/include/ATen/ops/special_logit_ops.h,sha256=hAlomd0iKbFvmejwEeNmvwrirF-urTDge_6gfqpW5Wg,1820 +torch/include/ATen/ops/special_logsumexp.h,sha256=IpjkvHHsJQKJMte-yyoXVDCAP5obwMs1WRrsyfCNmWE,1380 +torch/include/ATen/ops/special_logsumexp_compositeimplicitautograd_dispatch.h,sha256=mNTT1HyXqJ0v9CGT387VGXuERWo_ZOgAaGSt6rbUydw,1071 +torch/include/ATen/ops/special_logsumexp_native.h,sha256=yjXRxo9-gSOZAq8KrLjdCZhH0ZdRWZypBFJp5bpggmw,663 +torch/include/ATen/ops/special_logsumexp_ops.h,sha256=KwxWCg8W37ocQ8ZvrRzwi-e6ICenu2h3yluGAY7mhkE,1906 +torch/include/ATen/ops/special_modified_bessel_i0.h,sha256=pvHHsq5v61yU3LYj3Qv5YWi7X1pYBEnO761jmC3rByk,1215 +torch/include/ATen/ops/special_modified_bessel_i0_compositeexplicitautogradnonfunctional_dispatch.h,sha256=pFTxQmlG8pJC5wjAVnCD2hF96-LxD9VhfYzncPFdNLg,810 +torch/include/ATen/ops/special_modified_bessel_i0_cpu_dispatch.h,sha256=OBkfCgQ-NHvj-F4xwBogc5kWLfZmg7iKfX84thPxVpg,937 +torch/include/ATen/ops/special_modified_bessel_i0_cuda_dispatch.h,sha256=ZD6Gc5h0xd2KfPrQu2dhB3lBItRroyDYc03KXiX_SOY,939 +torch/include/ATen/ops/special_modified_bessel_i0_meta.h,sha256=OvI6KRkcr3zi8OlUi_PSuRO8gWg7vjHkZft2ACynuX8,606 +torch/include/ATen/ops/special_modified_bessel_i0_meta_dispatch.h,sha256=afJwqTFPtmST8QP15q0uBie5LuCrxi0Uf7vTKUZ9z0U,939 +torch/include/ATen/ops/special_modified_bessel_i0_native.h,sha256=2Ozgrf6AlxeXVTKiKB5N820zZIldS8Dx6fFh9ovjzMg,667 +torch/include/ATen/ops/special_modified_bessel_i0_ops.h,sha256=0-dA6QjwpRS_Z8Z5DbE_10aiUmtO3dQ4yMyL49SN7s4,1710 +torch/include/ATen/ops/special_modified_bessel_i1.h,sha256=-bKpY19fIas2qIO7FPLWcskj7if9SgFShJQq9yPNiHg,1215 +torch/include/ATen/ops/special_modified_bessel_i1_compositeexplicitautogradnonfunctional_dispatch.h,sha256=wM70WeVPkJ6u_izSY-YHTeYkNRsZN7ghmJ_Qgw4krkw,810 +torch/include/ATen/ops/special_modified_bessel_i1_cpu_dispatch.h,sha256=w-6Cr8smBL9DcjILWiwxEpeR0vtpRi5kYPC3SeRdkVY,937 +torch/include/ATen/ops/special_modified_bessel_i1_cuda_dispatch.h,sha256=UOpJamzlZR8zxJXHrsN2YKAi8KZBBxncTvAjGq5mBxo,939 +torch/include/ATen/ops/special_modified_bessel_i1_meta.h,sha256=Bh0Ekm7G7ZobvST7CAryUbqkYEm-3uxFvzfz7WJk42E,606 +torch/include/ATen/ops/special_modified_bessel_i1_meta_dispatch.h,sha256=C-_cMGprsHLXNMaPg0xOHLyHP4a7Q4yzWMAsUqNQxnY,939 +torch/include/ATen/ops/special_modified_bessel_i1_native.h,sha256=xqRDRSW-wuoe2SfsPxUv1ocvW6KK-Cn6zwZL3Q0VmDY,667 +torch/include/ATen/ops/special_modified_bessel_i1_ops.h,sha256=gH0X72KMqEDMf2bRDcjfrwNO7aKHMafK9fZECiiwP_A,1710 +torch/include/ATen/ops/special_modified_bessel_k0.h,sha256=OtrFqL1mOmsltBTdM3IJN4incJFXxFs3Lyms55D1iCA,1215 +torch/include/ATen/ops/special_modified_bessel_k0_compositeexplicitautogradnonfunctional_dispatch.h,sha256=BYumZpNsKhBrXX_J3eMifksgroqksjwnkSec10VPqJI,810 +torch/include/ATen/ops/special_modified_bessel_k0_cpu_dispatch.h,sha256=cE8X1_CwSFgWTO0pUqkHC0L5aNGD-JKFSWbQBCIZLPg,937 +torch/include/ATen/ops/special_modified_bessel_k0_cuda_dispatch.h,sha256=BMacjV3y9H5IY81d42d9SL-gVcas3HALmemIqxWgQ9A,939 +torch/include/ATen/ops/special_modified_bessel_k0_meta.h,sha256=qxU4gkKTepg0o-R5UIZ-FnN8dE-3JYrQgfGKMqoeZmI,606 +torch/include/ATen/ops/special_modified_bessel_k0_meta_dispatch.h,sha256=DgSCw1RtI4P7EFRrwYucRy4DXKZ07fWHts-C97x5qsU,939 +torch/include/ATen/ops/special_modified_bessel_k0_native.h,sha256=kiNwL91XnNxNkqsyPrlKqYZbRe9UW39ajmB4qgqsCMg,667 +torch/include/ATen/ops/special_modified_bessel_k0_ops.h,sha256=VieDG8hQwvO7nsqv535KmvqlwhmsGfCs3r3oAqkHiQA,1710 +torch/include/ATen/ops/special_modified_bessel_k1.h,sha256=1BaKi8A8DmDwoTfJ6YCRJsOJ17YRqElRwtGhc5_Y_50,1215 +torch/include/ATen/ops/special_modified_bessel_k1_compositeexplicitautogradnonfunctional_dispatch.h,sha256=iKZaHnz44a25gWntfGs7NxDc3a4BQL0XmoERC02CRjY,810 +torch/include/ATen/ops/special_modified_bessel_k1_cpu_dispatch.h,sha256=dOLY08GTl629mUEiRTPl_iJO2Hc4TmMu4j_mX3hR_Tg,937 +torch/include/ATen/ops/special_modified_bessel_k1_cuda_dispatch.h,sha256=XKAPyZU2eE0VEQXdGQ5CPpH0twKZV2XzkyeVENoGZXk,939 +torch/include/ATen/ops/special_modified_bessel_k1_meta.h,sha256=FoW_iqt85oAWuRXgphFYDUeTgEVfv1G-BsGfHoKQlok,606 +torch/include/ATen/ops/special_modified_bessel_k1_meta_dispatch.h,sha256=6IJ0EyYaXDwZupjgU6vnnEbrRQl7e-Q51IOkXRMtxyg,939 +torch/include/ATen/ops/special_modified_bessel_k1_native.h,sha256=v8u9bjOGFMLNmdnnT8Os66EwfgG5n2YHRgp835jF-H4,667 +torch/include/ATen/ops/special_modified_bessel_k1_ops.h,sha256=Zd6DmwM6wi7H1-EqHUeOtr0PeFgGjmjQkWL2PTsI7vM,1710 +torch/include/ATen/ops/special_multigammaln.h,sha256=Z4lK83Y5Ltkz__OH51Mg1TKUfQKB_iIpcnkelHYyvNA,1218 +torch/include/ATen/ops/special_multigammaln_compositeimplicitautograd_dispatch.h,sha256=82J93BYLEfBwmbqgSMnFghLX8DMk0T2u0wm_hq0mz-g,996 +torch/include/ATen/ops/special_multigammaln_native.h,sha256=uKTxD7sIJYCg0sEww4mCMxkH10Ks4u72g42hlcHiwgs,615 +torch/include/ATen/ops/special_multigammaln_ops.h,sha256=Et-xQdBBvpXKZUIRviXwOVgGRwrBhTYXGK72IcZWR0I,1750 +torch/include/ATen/ops/special_ndtr.h,sha256=tHu56ZqoenI5K2eXt8YFKyQh8r6xppYhAEiBxSoOzys,1075 +torch/include/ATen/ops/special_ndtr_compositeimplicitautograd_dispatch.h,sha256=H82QwdT47klwN0toZ6bPtyQHFdpO_jWCpYVywACRzrA,939 +torch/include/ATen/ops/special_ndtr_native.h,sha256=kW7ZSEtSfZoGbynfMSfhviZeuLav4RsxqBkuiO9D4fg,577 +torch/include/ATen/ops/special_ndtr_ops.h,sha256=lY5xcactJW_OfmmPJeOhXCRhbBiL01BVBw8S6_2_AUI,1626 +torch/include/ATen/ops/special_ndtri.h,sha256=HVMkBvbPHN0iIpgufFVphDRaMvwtI3hymK4ooNmQx8E,1085 +torch/include/ATen/ops/special_ndtri_compositeexplicitautogradnonfunctional_dispatch.h,sha256=ENAJDN9CjseR0VgQFLywB8a94r20_LeNIsihKRqS0u0,797 +torch/include/ATen/ops/special_ndtri_cpu_dispatch.h,sha256=bM_BCYc949KX-D5eLsQws2ymflbbOvaISmEBAzNIA6I,898 +torch/include/ATen/ops/special_ndtri_cuda_dispatch.h,sha256=f1MFG28KQOXpkuDxKGjaVmtnhHGiyxniq2Qo09HYttU,900 +torch/include/ATen/ops/special_ndtri_meta.h,sha256=LfWwqFoZN0VZDZHrwBDoqoyFfdyg0P6PWkHAh1wD1z0,593 +torch/include/ATen/ops/special_ndtri_meta_dispatch.h,sha256=x6pXJRL1UkZkXRIoJO4Tw6JWpULPkQLcVkFDuw3Cw_I,900 +torch/include/ATen/ops/special_ndtri_native.h,sha256=P0M39iULsbmu17c9K-YvV_eZmNEZcm8FeaBlWfdkMrM,628 +torch/include/ATen/ops/special_ndtri_ops.h,sha256=xR8MRHX7JoROzjQS15_BrpQy0EKO46jb8wiiy3dsOak,1632 +torch/include/ATen/ops/special_polygamma.h,sha256=BJ9RZDICdMA_81Q-8M3tJShpTsRJ-fvK_rMDxuUsdRA,1188 +torch/include/ATen/ops/special_polygamma_compositeimplicitautograd_dispatch.h,sha256=URzm656vMhQ0cEV6jnK988gAb76F7OkveQE-QsELV5I,987 +torch/include/ATen/ops/special_polygamma_native.h,sha256=LPUkZKHhkpZZOh_Ci6fGu3kic7OShv6kxGN1I69hwmI,609 +torch/include/ATen/ops/special_polygamma_ops.h,sha256=QybAlH-13uugMkaQ75HICpWdo7uz6XSViJDGEjbL8Ho,1732 +torch/include/ATen/ops/special_psi.h,sha256=VhQB2b83pBb56d91vl9DJwjnpyQXl_CIojzEkas-rpM,1065 +torch/include/ATen/ops/special_psi_compositeimplicitautograd_dispatch.h,sha256=fV2_XWltrtP-QOC2biahvv4YVPev9VFN_eI2uAskoms,936 +torch/include/ATen/ops/special_psi_native.h,sha256=XAKeoOWnGwyF91XacFDaQgg_CigN1ccS6mpieW5_AwE,575 +torch/include/ATen/ops/special_psi_ops.h,sha256=81QQq0Ph7HeK_cYCDf92KgU6RgXy9qDC2-wI1wYcXyA,1620 +torch/include/ATen/ops/special_round.h,sha256=6BKXxRiftZAFrKekG0GGxYIvmlmjjQUn38MwSEarqMw,1224 +torch/include/ATen/ops/special_round_compositeimplicitautograd_dispatch.h,sha256=sXOLVpyyJ9aGYKDH3QlsyzYM-YujyOZSfYOrp_cPtUQ,1000 +torch/include/ATen/ops/special_round_native.h,sha256=QA-L0BoHXS_bBUYq7SR1CleY8opHEwm1_4HDWzPeeyc,617 +torch/include/ATen/ops/special_round_ops.h,sha256=aFbXqeFC7wZ2PO3o5i3T5f-7uKTkZGbRwv2FrVi_uxs,1757 +torch/include/ATen/ops/special_scaled_modified_bessel_k0.h,sha256=mXFBxSV1TbqjjafWR2icJ1VKnUcOeuFi4hU9HcdhTJ8,1258 +torch/include/ATen/ops/special_scaled_modified_bessel_k0_compositeexplicitautogradnonfunctional_dispatch.h,sha256=RVFjNrgqHV1OUgeJLheVcKc-1i6XELYH8u_HR3-8Ewo,814 +torch/include/ATen/ops/special_scaled_modified_bessel_k0_cpu_dispatch.h,sha256=67CKI6AU3pdHE1Q1KgIknBFB8khk4LCIHtFmqOkrLSA,949 +torch/include/ATen/ops/special_scaled_modified_bessel_k0_cuda_dispatch.h,sha256=JRc29qO6gMHQxWPOJswm9IIaOFSd78WcVBdWUOxKrXw,951 +torch/include/ATen/ops/special_scaled_modified_bessel_k0_meta.h,sha256=mOmOXxDKqkiW8JTQ4ceZbnBWlNhJb2Afeye4uqXnW7Y,610 +torch/include/ATen/ops/special_scaled_modified_bessel_k0_meta_dispatch.h,sha256=CH8pvStEioadt1rzmChjQatl4Smzmz8vHxjffF3IGQw,951 +torch/include/ATen/ops/special_scaled_modified_bessel_k0_native.h,sha256=yMPjzr6-D18JW8u8bLbFbV-BHMWQWS5-zGw39KFEBWw,685 +torch/include/ATen/ops/special_scaled_modified_bessel_k0_ops.h,sha256=PN9Au9i31DrMLJTI00EGVe5v_OIQuDS0JYMsm3LhHX0,1734 +torch/include/ATen/ops/special_scaled_modified_bessel_k1.h,sha256=v9_U8lr1DRIawL4hopCYGaZOxpa9ntimbhJO20zwHjQ,1258 +torch/include/ATen/ops/special_scaled_modified_bessel_k1_compositeexplicitautogradnonfunctional_dispatch.h,sha256=ZnQ8DxoZW3sfdE-iZg6iTiQVHvpSsQZpAt6BrDevO-k,814 +torch/include/ATen/ops/special_scaled_modified_bessel_k1_cpu_dispatch.h,sha256=uiB4nmbEBvF3xFj1g9O9aaosYNs9v1HStOJdqkQGbzY,949 +torch/include/ATen/ops/special_scaled_modified_bessel_k1_cuda_dispatch.h,sha256=AQ-F41GWwijoMGAUz1ESa-ClVCz5AZmYDhYhxka4tb4,951 +torch/include/ATen/ops/special_scaled_modified_bessel_k1_meta.h,sha256=sLuQAtySnj4ZeKGtBvxuUD1dhD7QhaSZogiySjLDqbI,610 +torch/include/ATen/ops/special_scaled_modified_bessel_k1_meta_dispatch.h,sha256=DeBURyTBajm0dgXy8ybjKOQXJJCFHiajuxkrejqqQLo,951 +torch/include/ATen/ops/special_scaled_modified_bessel_k1_native.h,sha256=aKlFatzYxHaspYsGFqIRHSXNd81CWIiGM5zGYWEz7-U,685 +torch/include/ATen/ops/special_scaled_modified_bessel_k1_ops.h,sha256=17XsMlWCdmS0OKHqzJ9rbd1vHhv6TXKSzoXcnf0C3Ek,1734 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t.h,sha256=qhbmt9eutYr0M9TN7rQdIi7T6udp9BKaho1nU8BKfF8,3303 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_compositeexplicitautograd_dispatch.h,sha256=6xazY4mCNaB8N5FL__jMJLaZbtH2-igmFbBTW__yMOo,1438 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_compositeexplicitautogradnonfunctional_dispatch.h,sha256=nZTdl2AAQWxlw7eZrNQZolc2nTeiQogH8xA133xCAPQ,841 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_cpu_dispatch.h,sha256=m_uPktXJzxp12TpOqaFYAUu-mOXt34YvDhpTYHDd_4g,1030 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_cuda_dispatch.h,sha256=E-mdsglRgIQeI5o-C-Jh7LTfJccV8lq0gh0XAuPzdyQ,1032 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_meta.h,sha256=KR7sHG7V9uiIJhuGYdWAFLCVCtgoWAIr5vyC6ZuJ6Xo,637 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_meta_dispatch.h,sha256=fuCarhRt0LrpUs4gDDN8LZ2LxP7HXkJIBeaeyVpBupY,1032 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_native.h,sha256=rePsCUC06Mt_1-22VwggjfHA3O5bOMBtQww5FYbQfTE,1190 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_t_ops.h,sha256=CY5D5T7JkqFFnIde6-tA-ac52vkB36k0XLN7wnToEQk,4974 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u.h,sha256=Jtn7odqjCFZORQRc8vaNNlNvnvMcannNq3B2E6svU64,3303 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_compositeexplicitautograd_dispatch.h,sha256=q6ZDPq87qBHd_kIAnkgH2m2GlLfvkOwfOhv4AeEQI5o,1438 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_compositeexplicitautogradnonfunctional_dispatch.h,sha256=H1cJmN63ef7krFKYeNB4CXq1502TAeBGbp0h5xcqUU8,841 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_cpu_dispatch.h,sha256=5PysWKeTbh34L2PIxpF7ut1WMwR2HC9TKJ-AwaGFWH8,1030 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_cuda_dispatch.h,sha256=vefstgoAY3rLduRsJZLC0OMHefS8G3gqUwy5vyYFoTA,1032 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_meta.h,sha256=drlsWwxZ5lQmtdBTyL4Ee24rIxubYuo4GQLRYD1Fy9c,637 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_meta_dispatch.h,sha256=6xf-klwCMubqJd7TZJmYRCXRDuCX6pLtz_w5d6oAQq4,1032 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_native.h,sha256=OX27nTUiDvjdpyejI3SU-oL3uQ21DMgoITRS0Nou_YU,1190 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_u_ops.h,sha256=Kl9T7btuYmQP0_QrLxdiQUG7wpiBDT9jX9GXHSAiWuY,4974 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v.h,sha256=r_MyxEyvbgQyqugQ58VzR_N79veVxhGvIhGAJ2h2ko0,3303 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_compositeexplicitautograd_dispatch.h,sha256=sOpTiUvCOsBRzDbDh-lBZvKAqhBVjbmRozzwJrgHV50,1438 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_compositeexplicitautogradnonfunctional_dispatch.h,sha256=N87bt3LEf9gyzJ-RTHCUTPQUexeCjwhQZKr9uAFnoes,841 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_cpu_dispatch.h,sha256=7uzy9rIrtMbiq99L1i67CIVFevYFxr5UTism-DR1Y9A,1030 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_cuda_dispatch.h,sha256=wlY0h1C7igIHnWD7LJss0mUmOpSh8WoqRNJTr1kpErY,1032 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_meta.h,sha256=dJk3onnDc_U6OH4uBNmjpF0KcLAIHZgf4tvPCoyFaSE,637 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_meta_dispatch.h,sha256=IjmVgD6qvGYrncyDyhEJal7PDhovS3lLYsK3gHvg_Gw,1032 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_native.h,sha256=tkoDfMb2fHi9HFVtSmcqG82FnJ6iWxuYuRE62sLY0e8,1190 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_v_ops.h,sha256=hc58yTC0Q5680ChlO7Lv8YbGl351bcPj2mToPwNZUp4,4974 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w.h,sha256=oa-eszkwzQ7dbmjCjj6jkHhHKwy3pPGoluLA505ewhc,3303 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_compositeexplicitautograd_dispatch.h,sha256=qoWodfM9DfmzjEKUE84lF6YTCCCpEPVa3JCz1J7e_P4,1438 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_compositeexplicitautogradnonfunctional_dispatch.h,sha256=trk_qFc1l31k8WiUOYb_slgS0Jn62XaVzUWna9KFMH4,841 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_cpu_dispatch.h,sha256=7k3JzOTdAuc5_yEZ2mCLEALLJU_d6mdHTNTKkZdiJpY,1030 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_cuda_dispatch.h,sha256=hkGprVCTc_LIVGGHfqLNc7kioRiLMkqrw5MD_WOXMdI,1032 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_meta.h,sha256=GApB5c6iAPiqeSf1XqdBMyyut33Bhyg0HHqZBZlySFk,637 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_meta_dispatch.h,sha256=1ahY_gKUyuI3wtsQEzrMQQCu6jA7BRibn0laIxjFTiw,1032 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_native.h,sha256=B7ijzeVFm0PjUvcfNxcDOqi-csgLNxAG5zq2_kdV_XE,1190 +torch/include/ATen/ops/special_shifted_chebyshev_polynomial_w_ops.h,sha256=xEi-OZCMz-CUdRB9ADuHAyjkjkp4kOfuqMEr1Q6ZE1g,4974 +torch/include/ATen/ops/special_sinc.h,sha256=_XyMIL9uv6B82-ABto7FzqBgHTbPnN0uemZOTBp5FZQ,1075 +torch/include/ATen/ops/special_sinc_compositeimplicitautograd_dispatch.h,sha256=-92rIAhFtCSwofQNa9HWSw2WgXE9kPsrQU03c1rULF8,939 +torch/include/ATen/ops/special_sinc_native.h,sha256=uiPntiojaNYBO7ilYsmS-DwcBYrjeflz1iX-Z45q5W8,577 +torch/include/ATen/ops/special_sinc_ops.h,sha256=YV_2ZdBqMcv7DpJ0C0X21ACV7fL8abeVu8u9qsV43FA,1626 +torch/include/ATen/ops/special_softmax.h,sha256=6LZw0-p47O90DCs_m2te4F1AhalcYg41QNQ8ehUJieQ,769 +torch/include/ATen/ops/special_softmax_compositeimplicitautograd_dispatch.h,sha256=s66AYHVeHGl4FAMvN2Mcw40Z511rNGGxcTErXR0PssM,836 +torch/include/ATen/ops/special_softmax_native.h,sha256=_UvrkSOI9wE9QysgQOhoJXq_3_pbtJmZiPGSzTrpN04,559 +torch/include/ATen/ops/special_softmax_ops.h,sha256=ETgkTpi2aeHbHrX3hXFOdR2v1CD5cu-5dcPZWmlcOls,1167 +torch/include/ATen/ops/special_spherical_bessel_j0.h,sha256=4YDAz49GYMVdeWGYjD-4mU_h0TaroSbNBit40OS_oh0,1198 +torch/include/ATen/ops/special_spherical_bessel_j0_compositeexplicitautogradnonfunctional_dispatch.h,sha256=wdGw9ThRcla9vNgNf0M2vn_cjaDxoU5lq20qPUs91Ks,808 +torch/include/ATen/ops/special_spherical_bessel_j0_cpu_dispatch.h,sha256=LZqxP_ytkHZQr0As-PXnIjojscydhpsqcE_AocUMHIM,931 +torch/include/ATen/ops/special_spherical_bessel_j0_cuda_dispatch.h,sha256=s_b49esmXDVuiSBTxspI2M2y5ddtIjV9mWxih20o65g,933 +torch/include/ATen/ops/special_spherical_bessel_j0_meta.h,sha256=yV-oD1amvXQB-jxZvrTQ5eciXkJhbEYSOwZ7Eb7jhg8,604 +torch/include/ATen/ops/special_spherical_bessel_j0_meta_dispatch.h,sha256=UrKP5GGlqlsMDnrdJ0dTSgvBk8b5LRUT8Aal7F59MBc,933 +torch/include/ATen/ops/special_spherical_bessel_j0_native.h,sha256=Nan1k8p6q9AH7dcVVc5GjrPl5X9SAzu3GS1Y6jcLbak,667 +torch/include/ATen/ops/special_spherical_bessel_j0_ops.h,sha256=1CSyxK9Q_7EF1oOj0cx9V_no0dKtr_rfTka5FLrArHE,1698 +torch/include/ATen/ops/special_xlog1py.h,sha256=yEYTQX-xMXk1dnaxAXS-HML1mf-gR97AAEBKDXKTW1Q,2890 +torch/include/ATen/ops/special_xlog1py_compositeexplicitautograd_dispatch.h,sha256=_gDw2kWKn4upryrgw9vOGT8FLgraxtOf5-ZI7wL7MRc,1342 +torch/include/ATen/ops/special_xlog1py_compositeexplicitautogradnonfunctional_dispatch.h,sha256=jxmxbeBWUZyFGaNMAlEhiV6DbgQIXjjPqng0dQkvBgM,825 +torch/include/ATen/ops/special_xlog1py_cpu_dispatch.h,sha256=S3G8lT6TRFjRiRTjwbQdPJlW_6ytAHf2yRC4hTVVpMs,982 +torch/include/ATen/ops/special_xlog1py_cuda_dispatch.h,sha256=yeqY-LOPFXPH7eLHXGSEz3RryazYgXI5NeofG-GT31E,984 +torch/include/ATen/ops/special_xlog1py_meta.h,sha256=rU3Q30X8WrdA8Tw1WdWsfGU5A9O7B1yAlViHLqDgZs0,621 +torch/include/ATen/ops/special_xlog1py_meta_dispatch.h,sha256=Fj4QClUHtvPhmxkaRMzBQfbu0dvQHZN7ONLnN-4gqEo,984 +torch/include/ATen/ops/special_xlog1py_native.h,sha256=2xOSgiKcK7HVcdH_YE2bTPqWcVUblx3-_b3RFaRRVCI,1064 +torch/include/ATen/ops/special_xlog1py_ops.h,sha256=Y5mi0Wvv68J1isuKRLvKRv2s8O5FU00pG6twqwmPLLY,4728 +torch/include/ATen/ops/special_xlogy.h,sha256=gctmVa1S4tWkPnfqQLyP7OXzuZsZqOMCVqSL58Sr33g,2834 +torch/include/ATen/ops/special_xlogy_compositeimplicitautograd_dispatch.h,sha256=BKjKr0lkc6Tva0JTdzlGlx6inXkKWaYKRtu5ucxZ2WY,1640 +torch/include/ATen/ops/special_xlogy_native.h,sha256=hcOVsWkuVGSG48-yP0uN8_L1UwduYB95oI02AxlNHMI,1027 +torch/include/ATen/ops/special_xlogy_ops.h,sha256=_cWDUo6HlRiTm3caug4V_0RHkIuT_syUUh8EaJwoALs,4692 +torch/include/ATen/ops/special_zeta.h,sha256=mcQVbe57y75foZuQkMlQzv3OcuEcTPUZgr5_-G7qscc,2806 +torch/include/ATen/ops/special_zeta_compositeexplicitautograd_dispatch.h,sha256=ehMK90ElYBTqmC1rabkLsK6TIGH8_4dZ_d9gXoVLMF0,1324 +torch/include/ATen/ops/special_zeta_compositeexplicitautogradnonfunctional_dispatch.h,sha256=BrOByt3V3pxs7dPg41B5H3uJdFsiqG9RTvZeiHcuEqo,822 +torch/include/ATen/ops/special_zeta_cpu_dispatch.h,sha256=F9rNT_iWm0DDIsbtMqqpmoEtmFwxtnPwSKlgPacligc,973 +torch/include/ATen/ops/special_zeta_cuda_dispatch.h,sha256=_nRfDkaHmPPaHTKY_cNSr60lkuQh6ydQkZX-dA2M1WA,975 +torch/include/ATen/ops/special_zeta_meta.h,sha256=QjzSzTrBpaCpJE-xMYtAPdPW9ytCDq8urw7EtcaQ7GQ,618 +torch/include/ATen/ops/special_zeta_meta_dispatch.h,sha256=X52eMKbIW19vkkcFnfnYlG_p9gQ5K3XJZnBiBj-P30U,975 +torch/include/ATen/ops/special_zeta_native.h,sha256=3jyK2_ivLuCjxscDanoe_ypfS8x0DzyiPVOcq4q0il4,1043 +torch/include/ATen/ops/special_zeta_ops.h,sha256=U1lPu4oavu_JND0v39MvD_EysiskSHhEjJ9uLZJFE0g,4674 +torch/include/ATen/ops/split.h,sha256=3pL1dei5weJSsM4Yuh0ccjqXpfU93Rt7KB-4muG5VVM,2717 +torch/include/ATen/ops/split_compositeexplicitautograd_dispatch.h,sha256=IoO99_TxuXApxAA34yqo4UwJrz66fF32QSa81-50MLE,927 +torch/include/ATen/ops/split_compositeimplicitautograd_dispatch.h,sha256=yShvDGMSibNucwcyJaMl0Z45poWFlDz77thn-G1i3QE,943 +torch/include/ATen/ops/split_copy.h,sha256=8MkeGTCvZCxnebg6WgCCRK7_kQCk0k61j0qnmXMNoXk,3965 +torch/include/ATen/ops/split_copy_compositeexplicitautograd_dispatch.h,sha256=iePmmIZybJDIg1z3DFLO8Dx-k4TsT2fLne_3zhylJ2Y,1174 +torch/include/ATen/ops/split_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=1Z_ZngoFAPAqvahJuvhzEAYKvqUSiYaBb3sNpmNWecc,963 +torch/include/ATen/ops/split_copy_native.h,sha256=Xun46nmM3zdMa2bvp4gtvkv8OBvrkvJhVOZdXWQNN3Y,675 +torch/include/ATen/ops/split_copy_ops.h,sha256=_h9q5cNLTYh6sPw9wAzfnMtRZi-6mr13YIC3hq-qa0o,1930 +torch/include/ATen/ops/split_native.h,sha256=cXIaiO2mum6MfWywk4MySN7HvELKF-X98AfHfyqc-zA,658 +torch/include/ATen/ops/split_ops.h,sha256=DHadIIvL0NOi1mWRl-zNZQenglCgNQ6FR2qf7pn83MM,1925 +torch/include/ATen/ops/split_with_sizes.h,sha256=upBbKxTISNYxg_lCQ7X1QrPDk9_QWvCnZRXfW52bNfo,1739 +torch/include/ATen/ops/split_with_sizes_compositeexplicitautograd_dispatch.h,sha256=ZLqTTZeLViBbeFfMde3tboq_LN_DM_YorYGmAV0L2XM,967 +torch/include/ATen/ops/split_with_sizes_copy.h,sha256=CJpP6gZPqkpxTBNT8jDPF9fcSfocS6IAI65hmJZh79w,4474 +torch/include/ATen/ops/split_with_sizes_copy_compositeexplicitautograd_dispatch.h,sha256=h8-c2MPRMEgJKMxB2DxkMxvBDItB5arIFhge9AhrpOc,1254 +torch/include/ATen/ops/split_with_sizes_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=voL3MYIKgAW0aOb9BKoQX17weTprRc5tWkdKVJwR00Y,1003 +torch/include/ATen/ops/split_with_sizes_copy_native.h,sha256=eX6wwxWVcDt0SSvekJ-WmrsTva6w4czxLAu_Yx59cOU,701 +torch/include/ATen/ops/split_with_sizes_copy_ops.h,sha256=rT5kIAjoloz8hpNOwT1zlc2FyfzyglMbRGbv14vuSNo,2013 +torch/include/ATen/ops/split_with_sizes_native.h,sha256=f9Nzfjizn_SbFyo_GNhmhQtqiBUD2btZcve5M25hr6g,686 +torch/include/ATen/ops/split_with_sizes_ops.h,sha256=njXSWS7viLFWDJLlDW2DUWeNV9-wcP6E3T_ZfjSheSk,1210 +torch/include/ATen/ops/sqrt.h,sha256=NOPr8BnUS4eIgov73nd8gZkR9usbppFaX-p--AMtYPA,1131 +torch/include/ATen/ops/sqrt_compositeexplicitautogradnonfunctional_dispatch.h,sha256=97jxEw3IBLKh7rAWcVQM4cFD7DYbQSPBouJn6uBZt6c,837 +torch/include/ATen/ops/sqrt_cpu_dispatch.h,sha256=FIzuC9ibPlGlRukNNXHYXwHr4uGhIuJIC3e5oc0MflA,920 +torch/include/ATen/ops/sqrt_cuda_dispatch.h,sha256=AG_H9LxQ22aS-YI9CaAwMdxvOIH-sk2oLT7mkOpkU4I,922 +torch/include/ATen/ops/sqrt_meta.h,sha256=Xj5TUZ6zlp6qbG43oVlzpykVpIGmoran1N6uYheCmTA,584 +torch/include/ATen/ops/sqrt_meta_dispatch.h,sha256=BXqcvxE3iUMNkgelIAUU0UWcfXnMMyXnOFmcqRd_4PE,922 +torch/include/ATen/ops/sqrt_native.h,sha256=nnl_JNg0o9oB5521ChJOB-aIv6LcC0eIS0-tmv2im-w,1009 +torch/include/ATen/ops/sqrt_ops.h,sha256=PYz_jShPifsIuOvfnXyTFumL2FRBpWGFOjRyRIgnGeo,2104 +torch/include/ATen/ops/square.h,sha256=lVWdQtLyZpM86wSk_x8rh0KOAjcbvi8M_F2B7MBeAA4,1157 +torch/include/ATen/ops/square_compositeimplicitautograd_dispatch.h,sha256=ArFyRehnUpDPKiX1cyyjno_6Tyecl6SC4XegaUSR2VY,972 +torch/include/ATen/ops/square_native.h,sha256=EQtHHf__d5shQTh5FK8iUNZjaDU5zwwxSAKrsQnsk_g,616 +torch/include/ATen/ops/square_ops.h,sha256=UDDcO3lEzP7rQGx2GQTKm8blmzd_mUZBOnw3mWAIg9k,2122 +torch/include/ATen/ops/squeeze.h,sha256=eJNDTlP_qBzxsP-Rb6QuMzaJK9w69GW9JWGsBKJH1oQ,1200 +torch/include/ATen/ops/squeeze_compositeexplicitautograd_dispatch.h,sha256=JedZgFF9yVWNAk5y50Ry92u5MBpkVHswD5ZujA-roTw,1099 +torch/include/ATen/ops/squeeze_compositeimplicitautograd_dispatch.h,sha256=S9SO_l3wPUVxsrUVq6U_cIwCZonl40hAe6FNk_UeNAU,851 +torch/include/ATen/ops/squeeze_copy.h,sha256=rYkrhMhFb_WpIUoE08rPQ49rrYAFOttQkUejRdCse_8,2479 +torch/include/ATen/ops/squeeze_copy_compositeexplicitautograd_dispatch.h,sha256=XOOhc9zI2HTk01FwjEtS1cXPWfHlT57Cqqq1c0pGRpo,1285 +torch/include/ATen/ops/squeeze_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=qsoDUAwDFa6Tb6Vh9IYW5iOBp6kM2PgBAZ8i4Fn0KFQ,950 +torch/include/ATen/ops/squeeze_copy_native.h,sha256=BFMlOSWbUuHXV5Sib8v3TkmK4Y8Q96kmf3iliuu-ZSY,951 +torch/include/ATen/ops/squeeze_copy_ops.h,sha256=S9Xy2-18lLkfnbZsRjVF238Ztb_VpT8geC-bWsF_26g,4290 +torch/include/ATen/ops/squeeze_native.h,sha256=HFmPgRZY3PjS7JdVqgvDIOjhv8enzq_Cr6T6wv_9ThA,1420 +torch/include/ATen/ops/squeeze_ops.h,sha256=Cm6tPBW7mDPhjufbXnAeH6OQiYfMt_lpHBWGo-kGydI,5186 +torch/include/ATen/ops/sspaddmm.h,sha256=_bvTYshGegtxxGlpfm_bC5aKQdhZnrxAKZqk6mDFbNc,1595 +torch/include/ATen/ops/sspaddmm_compositeimplicitautograd_dispatch.h,sha256=nr_I9hBUFBQmfZOvwWeH9zLuQyBntS3slyqgcUqB8JY,871 +torch/include/ATen/ops/sspaddmm_cpu_dispatch.h,sha256=nAn1kOw6aJaflPQADEzUEiHtTRMxgKdbLCs6vxwsX28,1033 +torch/include/ATen/ops/sspaddmm_cuda_dispatch.h,sha256=qQrd39YejwtWGJnHD0VRTv1YWLFHgvWsgUpL9ylb9Yk,1035 +torch/include/ATen/ops/sspaddmm_native.h,sha256=LJ42uKMV0AHM0wbTTcMYUVFaAzZMeEACJv6bLH2XH5s,1360 +torch/include/ATen/ops/sspaddmm_ops.h,sha256=ao_4BU-8hQbmR0_552nHOt8XYHas414O-0o0UUez7Lo,2283 +torch/include/ATen/ops/stack.h,sha256=tzEkD4qmA5ii2rB871TQSuNLKvtZAlDAKSRI5yPtU1Q,1117 +torch/include/ATen/ops/stack_compositeexplicitautograd_dispatch.h,sha256=OXt2k3jhQ4jnVGNOl8MbEMQYqXNwA__R6NjcHjIst-U,958 +torch/include/ATen/ops/stack_native.h,sha256=UT1tbJLJzbOOSlArrRlckOKgq7lp91YdD8ctCLtX-Vk,589 +torch/include/ATen/ops/stack_ops.h,sha256=adoswbfBko6mD9hSLQzxIt0hoaif6sGVqNe9BlTSIAM,1674 +torch/include/ATen/ops/std.h,sha256=TS4Pyv23eVlfM46FApK20zWo_Vu7ePiYDgRSue3j6t0,4835 +torch/include/ATen/ops/std_compositeimplicitautograd_dispatch.h,sha256=yQY6X1gzsHUSCfSnPgmDFiWWL_clwFhDDUc7eWaGjW0,2011 +torch/include/ATen/ops/std_cpu_dispatch.h,sha256=_ivez87Sc0lXeZbZKmhBdpKjvM5JfX7pMxRaTIj5l9Y,1199 +torch/include/ATen/ops/std_cuda_dispatch.h,sha256=5MVvgPM0qMPBrs9uEuM1YfypaQ3VRYn__RJbmBfljYU,1201 +torch/include/ATen/ops/std_mean.h,sha256=fAUrNYWyhqQgS7Rgxf-Jrwr6miAfKOCM28HM3BCjU9k,3187 +torch/include/ATen/ops/std_mean_compositeexplicitautograd_dispatch.h,sha256=bVjD8A3A62OsVhhn6u9O0KhRku_cBtiVgHVxik20-bo,1175 +torch/include/ATen/ops/std_mean_compositeimplicitautograd_dispatch.h,sha256=8D2jxSUApDDYRlGzaAdyumyIo3foShWHH9cYK8SbaEM,1269 +torch/include/ATen/ops/std_mean_cpu_dispatch.h,sha256=KT0nbLcmFmrYWyZZEWlH2pa-9pxSt1r0imHqady3-MI,868 +torch/include/ATen/ops/std_mean_cuda_dispatch.h,sha256=4jNJHehrC96pKUYeVvrKLg6XP7FRR9zCcosCTWpNwR8,870 +torch/include/ATen/ops/std_mean_native.h,sha256=gmifqY6oLiEh4rqo-JcjtmqHCZin_5RYJz8Dm76L4CM,1436 +torch/include/ATen/ops/std_mean_ops.h,sha256=wibcasJPjVt_RFgUyzlClezigtRiqWvemhoO9tN9G5E,5853 +torch/include/ATen/ops/std_native.h,sha256=qhhg6pLYjkAS11R4QkkQ60MeyQUfiRt11V6UzpIO9No,2001 +torch/include/ATen/ops/std_ops.h,sha256=KiIZBddYdY8NpJM5135XPinU-g2q9czZQPb5I8XpQpk,7754 +torch/include/ATen/ops/stft.h,sha256=3_WXcp_fSizfyWCI8gHPWbSZDgOfSfUAZs4GRdPWV7o,1830 +torch/include/ATen/ops/stft_compositeimplicitautograd_dispatch.h,sha256=oViqMfJ7T2EpkZHJ4FVF3JZ5bVmXZL4iu7FooCvSC-w,1376 +torch/include/ATen/ops/stft_native.h,sha256=uUsB-ZwQcDlDFZQ8-d6t2JOWxhC_xuwjDPNMOkv1fkE,1134 +torch/include/ATen/ops/stft_ops.h,sha256=upfXV933s29aofQR4dyaIbncR3E_P4gGIOprzSN7DGo,3070 +torch/include/ATen/ops/stride.h,sha256=oGXuNrQiC7SBhBahg6SeOKjwtcGZ5-428npSbhV8b-Q,845 +torch/include/ATen/ops/stride_compositeimplicitautograd_dispatch.h,sha256=PN5dIRTcMD-TajrInu1eREZxjdwEEkE5pCfXJS47R4s,842 +torch/include/ATen/ops/stride_native.h,sha256=BusatXkAF7f9PrPGqH16yUGorCI9XYpC3rbVOn1kbeE,565 +torch/include/ATen/ops/stride_ops.h,sha256=WMy1K7q5CgV0j3ePGUxB4IoUbA_7rPnpMlofRU3ryKs,1614 +torch/include/ATen/ops/sub.h,sha256=t6QZNEfQA-kmjoJGkDyHrAE4VVodyc-__kZLCPWE2bs,2126 +torch/include/ATen/ops/sub_compositeexplicitautograd_dispatch.h,sha256=6okzax7hRp3u7e6DzUg-ZoG_jEUvB2P94CKdfkaW0Ug,1174 +torch/include/ATen/ops/sub_compositeexplicitautogradnonfunctional_dispatch.h,sha256=OxvbKUWEyGxA1fKAq6Nl_M_a9_bzwTGFAgQe42YIjFY,943 +torch/include/ATen/ops/sub_cpu_dispatch.h,sha256=z338yo7XiXwDw1ho7R18dgS9aA0P5fNGfEPMP3s-kD4,1130 +torch/include/ATen/ops/sub_cuda_dispatch.h,sha256=Wmo_-nNh6xa4QvPSGoSWJf9Z2ReGrjwvKyHT5dxk_qc,1132 +torch/include/ATen/ops/sub_meta.h,sha256=CUnxXsw_3_a8xmaj-CO7ZzsZYZF5qPm8OgVEqOlDoqY,642 +torch/include/ATen/ops/sub_meta_dispatch.h,sha256=5HtfxiQj1pfoE2WZFLkUIRgG_3u-X6Iod_SFLsDOQ5E,1132 +torch/include/ATen/ops/sub_native.h,sha256=kSfPlPjRGi2eHqKPVTXlpMjKcD6WDlcExQFXAIPhtF8,1594 +torch/include/ATen/ops/sub_ops.h,sha256=kVSXsQSs8jnCeIxjMjLRjWHW84gEyGg9f6uMGE3JxnA,4907 +torch/include/ATen/ops/subtract.h,sha256=OOQ31tFLDlamgWqbjl0LlkLfSeSkygozDPVSwoo-B7Y,1597 +torch/include/ATen/ops/subtract_compositeimplicitautograd_dispatch.h,sha256=9wHS4xcrqPU8tU7zQcD4_T0hhuiyEbJkB5uquKplJbE,1411 +torch/include/ATen/ops/subtract_native.h,sha256=jsLfv6n9eftQzrPMnMollFQJqk4OQ_CHu654dJRaEHg,999 +torch/include/ATen/ops/subtract_ops.h,sha256=YgFz6qqISkd0ta6BpLk6hDaEQThDicHH2mSSui2mLRg,4173 +torch/include/ATen/ops/sum.h,sha256=gu9JVLI2yZioEV3o8kXvUBeGb_nfV13MnQzfo96JdIQ,3365 +torch/include/ATen/ops/sum_compositeexplicitautograd_dispatch.h,sha256=7kyNab0Nm-ItrTeygdpbE-4o5byh3b_-Fxj6tsJ5_R8,1049 +torch/include/ATen/ops/sum_compositeexplicitautogradnonfunctional_dispatch.h,sha256=pY6FHJOMuukxzvbwRQeZZZS-q3VUYPRnQUQOFNLrpxk,886 +torch/include/ATen/ops/sum_compositeimplicitautograd_dispatch.h,sha256=Yn_xJ36CepVj0B7QFKC4jiWC0jMUT6osc7XI1Djd65I,1166 +torch/include/ATen/ops/sum_cpu_dispatch.h,sha256=5hTY1kMm-2Nax4h61hku5-5U-3s2pR4Tm754lIFgrhA,1146 +torch/include/ATen/ops/sum_cuda_dispatch.h,sha256=Rvua7MGDRUbmkk_M6JL5_wjQ-UfyIf91ImxU8d32dTE,1148 +torch/include/ATen/ops/sum_meta.h,sha256=w0-7naa2SEMi2xULR2LwXu6L5nqu2e0bJhdEpABI7vA,675 +torch/include/ATen/ops/sum_meta_dispatch.h,sha256=sJhoK_Y16UPvPKW1XVjZwrKunpvAG_ZoyMvOrdpZVHo,1148 +torch/include/ATen/ops/sum_native.h,sha256=l_T5A-_LMyYQ3valh2OekkHXS2hzKdhDCMPWSoOAndo,1902 +torch/include/ATen/ops/sum_ops.h,sha256=N-u9ArmqGyifKGTE-nr-QCOP7aDQlk2J-R_mX4nHESI,5331 +torch/include/ATen/ops/sum_to_size.h,sha256=-AQVp5J6H3IWWXLg_lnrgazNEeQrQ_kap2gZMyI2O-8,1005 +torch/include/ATen/ops/sum_to_size_compositeimplicitautograd_dispatch.h,sha256=qcgFze61T-FTH-xR8GflgnxDysSHbyn5bhuF3sRYMrc,883 +torch/include/ATen/ops/sum_to_size_native.h,sha256=fpMQ-fSTQ-gOqLcgcG4crsELgKfdc85g2MDZlyiJeSY,525 +torch/include/ATen/ops/sum_to_size_ops.h,sha256=DoR68dMx2-KbrSQbGaJGOjCIHd5DSDl2HyJNnEBXpMs,1070 +torch/include/ATen/ops/svd.h,sha256=Os82CRlet_Vurbe1Cjurfm0WJqYMxsLlna1p_8f_LgQ,1573 +torch/include/ATen/ops/svd_compositeimplicitautograd_dispatch.h,sha256=o7YTegUFrNQb6keDLJQlhU2YgNLkjn55nfO4OSBRgTA,1192 +torch/include/ATen/ops/svd_native.h,sha256=ZL1SeDd0iGy-F398s1q0EQOjhLf5BXj4SBtNUz8qEv8,731 +torch/include/ATen/ops/svd_ops.h,sha256=NhMjg74VnektOVHPT1G1-EmM7kWyUvbDPvdpv0Y7yNw,2176 +torch/include/ATen/ops/swapaxes.h,sha256=Ctt9AWoyKODHwXYQ2Vn8YayOvrelKr9tcXm2-oPoouA,705 +torch/include/ATen/ops/swapaxes_compositeimplicitautograd_dispatch.h,sha256=QKsdSRsNHmNLZMNM648kl4JIhtblxEy9qUCWiU0Wods,879 +torch/include/ATen/ops/swapaxes_native.h,sha256=sSo6G_hxEZQbdJ0cdzvln7BQDrz5TdVxSjCzCvd8IX4,602 +torch/include/ATen/ops/swapaxes_ops.h,sha256=nHQ3CD6mr_vDvAqpDtdyEYXpAvQz67oPlaM9XrjV9bQ,1717 +torch/include/ATen/ops/swapdims.h,sha256=8D2jj9-CvOqhAH6xv8dpgFRugukDroB9m3nVNPZAPKc,699 +torch/include/ATen/ops/swapdims_compositeimplicitautograd_dispatch.h,sha256=D0IefFV_MtyAO3vvRsnbBUFu9daGc-Mt3sDIyhpo41E,875 +torch/include/ATen/ops/swapdims_native.h,sha256=o5xU2qHLsd-kIrulJtmGUyhga4YqvBa_zjHY4vAoqSk,598 +torch/include/ATen/ops/swapdims_ops.h,sha256=QLQj9WjEeObaKx3V1z7HKHuwFvojmWHHl-cNRGC2izI,1705 +torch/include/ATen/ops/sym_constrain_range.h,sha256=27S9RoJmjMkc8DPRY_7J2P49lNUqjzoRC3k4gXUMHwk,792 +torch/include/ATen/ops/sym_constrain_range_compositeexplicitautograd_dispatch.h,sha256=1ZWh1CcH6Cmpzn_M_zVDaH1qB6z6fWBF3JqtWjuXg3M,853 +torch/include/ATen/ops/sym_constrain_range_for_size.h,sha256=vo0M7oGy2PnytdW5l1Zfp6XW45a_puqRbu85de2CEJU,828 +torch/include/ATen/ops/sym_constrain_range_for_size_compositeexplicitautograd_dispatch.h,sha256=2f2ixjA7jY0ylsDOXtMoYSGkNedx12zT4mJnhqrHyg8,862 +torch/include/ATen/ops/sym_constrain_range_for_size_native.h,sha256=moXLiIL6j9lVJHhuH_auEjJOF0Z4CR_X-8eVcgXTlYk,585 +torch/include/ATen/ops/sym_constrain_range_for_size_ops.h,sha256=8sIOrrtHA7IYcvIYI3lJlWgiAoI9_cxWrCkQdXV98FU,1204 +torch/include/ATen/ops/sym_constrain_range_native.h,sha256=9ps28_soPWprakW72lbUwivZqZZMWslbr9CIKbt_xxE,576 +torch/include/ATen/ops/sym_constrain_range_ops.h,sha256=k5wWamGFW-xCN8mauJ_mfUIZ-sQeSU46tVmYkaW8Dj4,1177 +torch/include/ATen/ops/sym_numel.h,sha256=jO0d0iUigDGjokR4TTXA-NrdYhr36C68oKNTgOTnCjA,649 +torch/include/ATen/ops/sym_numel_compositeimplicitautograd_dispatch.h,sha256=tXTb3_7AIwh0kcLzbKzEuiNbTOaq_j1Kk_xhsNaDAJA,768 +torch/include/ATen/ops/sym_numel_native.h,sha256=D6HjUXOU7PA-wQgBA5UnimEPA9GFlRaLdslUjjIi9hE,491 +torch/include/ATen/ops/sym_numel_ops.h,sha256=ZX9kJT7Rz5NjQ7-_zEZSmwJd0TIj1btRZlXZEnBaEIc,979 +torch/include/ATen/ops/sym_size.h,sha256=Zm6XqiWP8WRuCXYFb3f3Vpl11ydlOLzxW1kMMTlOQXU,680 +torch/include/ATen/ops/sym_size_compositeimplicitautograd_dispatch.h,sha256=BL6mxnuGiOQ05MHhNKLVcNSPHugjuNJZ_I6WwACuLz8,780 +torch/include/ATen/ops/sym_size_native.h,sha256=5zWWsJ3qNx9hZizxOtDaa9la9ODoXqnQ4ss6JOZAUpo,503 +torch/include/ATen/ops/sym_size_ops.h,sha256=Fk3ALHIVSV4Cxpioe24bmgZCTeP2Uy1MKATQdt9V7UI,1031 +torch/include/ATen/ops/sym_storage_offset.h,sha256=obyli4olHv396eQfAN_2Wv17qe-aBmChrv7BxgaID0w,685 +torch/include/ATen/ops/sym_storage_offset_compositeimplicitautograd_dispatch.h,sha256=itfuP6Tt093Zrofo3boMiLhS3W4jNkg5q49PxJfryMU,777 +torch/include/ATen/ops/sym_storage_offset_native.h,sha256=tC4TWxZMem59LbA5kXfbQKD9lxaElCrE47dGZc4iBDA,500 +torch/include/ATen/ops/sym_storage_offset_ops.h,sha256=7mhdeH8eTv8OX2iuRDcC6XzYNiSU21febSSXMWLfGeU,1006 +torch/include/ATen/ops/sym_stride.h,sha256=Y4Hem9BLU9TAcDZ1VRTNIjecu6O_Q88PCOfhPFR18WQ,688 +torch/include/ATen/ops/sym_stride_compositeimplicitautograd_dispatch.h,sha256=z320JcS739xpzhKp45x5gGX8P-RPD0U5yAqnDCNF4pM,782 +torch/include/ATen/ops/sym_stride_native.h,sha256=ij-vRlGjeNdTlW-pOqta_V0guETTPckSZDlIEiacacA,505 +torch/include/ATen/ops/sym_stride_ops.h,sha256=ZuNBlqPv7uxUk5yDbk5BYhafxkOZBmMHtZATTMIZ-Uw,1037 +torch/include/ATen/ops/t.h,sha256=Jlez7GsUM0Rv-K6JN9nDZ9fySx1sylqwVXBGuVMtZdc,611 +torch/include/ATen/ops/t_compositeexplicitautograd_dispatch.h,sha256=zNsOwQ5j1KDg2w1HL2Z4dXWsQQzz1CjOBaA6wNq2oEw,805 +torch/include/ATen/ops/t_copy.h,sha256=msrnKg_vMhXIszS5m-_vNjXHgK0AzXH50x7z6nKFk24,1015 +torch/include/ATen/ops/t_copy_compositeexplicitautograd_dispatch.h,sha256=JmlOfgw8-Q077uwpeK-Qr-l-zLj746wf_GwXU5ykEqM,867 +torch/include/ATen/ops/t_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=Tbn5mQk7oks1TQs9P7g977GDweM3MA2JYEKjnB4ztd4,790 +torch/include/ATen/ops/t_copy_native.h,sha256=cg5zMV-0dPaPoHRL9ObuXrGzYc76TCWKkHelC3iMXI0,565 +torch/include/ATen/ops/t_copy_ops.h,sha256=SmjcK6eY8yu-TBm3PyrfttOGS_Ny9m1nbsPZ3Q4KFJQ,1590 +torch/include/ATen/ops/t_native.h,sha256=ncLLSoiW1p1dthXwzWvR38mEr86DQQQ5GMGm9gvYcmM,528 +torch/include/ATen/ops/t_ops.h,sha256=MqVQkBP81lbB2Y7zWOPxKjFcbWPf7Ax04KsqePw778k,1475 +torch/include/ATen/ops/take.h,sha256=xCOBP0-zUWJyovJP27dYe5SA8fxCRZb0dzUifzbpGqg,1136 +torch/include/ATen/ops/take_along_dim.h,sha256=82XOA6RLO2YqnQntSF_ThAeQXegSpoZyMyoAt-O4TUo,1424 +torch/include/ATen/ops/take_along_dim_compositeimplicitautograd_dispatch.h,sha256=3KVhBK8C3t_RirSd-3cAPYsA-DybJY_xG7Ssha27DbY,1139 +torch/include/ATen/ops/take_along_dim_native.h,sha256=IKZ6R0preFJTypVmnyCsW_37eo7ShyBWysqoIv5R7k0,706 +torch/include/ATen/ops/take_along_dim_ops.h,sha256=pGYGAqno7gah23kdiFUz_BiJumtwAAsnPmUdFhR3pMw,2012 +torch/include/ATen/ops/take_cpu_dispatch.h,sha256=hbO7KFlRMYRrW6Z2utqVYJgaOAY-RPfl0c1M4YMm-rA,949 +torch/include/ATen/ops/take_cuda_dispatch.h,sha256=qFDsLb8TP2rQs8mawSUMWLeFm0IgPkGpE7CUuaPIfDc,951 +torch/include/ATen/ops/take_native.h,sha256=tZYtquAsork9Vww3v0Wu95pmBPgI7-0imSTrqEqfks4,613 +torch/include/ATen/ops/take_ops.h,sha256=tckaYmHI1FAwmt8GXvjnOYtD21O-s9BAqhuSeVVwAlM,1750 +torch/include/ATen/ops/tan.h,sha256=su2S2zPglKxXumCFW2s1BoAe4vhVevuZCu6YeY_TKFk,1118 +torch/include/ATen/ops/tan_compositeexplicitautogradnonfunctional_dispatch.h,sha256=9msSFgcRjrg8bX6bNI5kCV6baqM0-A6C6H969OR0Lqs,835 +torch/include/ATen/ops/tan_cpu_dispatch.h,sha256=DimMQnXgY-7pND9M75hivgWEZX8K1ApIJYxXSM9Ue8A,916 +torch/include/ATen/ops/tan_cuda_dispatch.h,sha256=uY_V5HawHgc4ftTPpHtwN3pMEOP6rPQDosiUNLdS_i4,918 +torch/include/ATen/ops/tan_meta.h,sha256=lsGJVU4GNLi7Jiyruyok2KSXMu1-MdLIKqHjyO3WEMU,583 +torch/include/ATen/ops/tan_meta_dispatch.h,sha256=ZHlw9zOpcjvJ0CGDflTwnhbGsY_MzNCMaZkckcrZDto,918 +torch/include/ATen/ops/tan_native.h,sha256=vNlP1UJZ5fdOhnPWfx09GccI4tS9ijS8bciu-scM5rk,1000 +torch/include/ATen/ops/tan_ops.h,sha256=vdU8LtsE1JuPL2kjtFLu2NY8lWXC0WhkBKM-YEul9hc,2095 +torch/include/ATen/ops/tanh.h,sha256=74ATctOqbISn8Axh8SD9g5zuZvhHwV7cCLYgQYg6QyE,1131 +torch/include/ATen/ops/tanh_backward.h,sha256=7z6W1ZHyi8rlm3zLCEMo1SZj9OTZ2E5EvRxpnYssBBc,1368 +torch/include/ATen/ops/tanh_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=cewqqytrQiBMcumo4dIS19Pz-CcDTLuwRMPKd1SZDIw,831 +torch/include/ATen/ops/tanh_backward_cpu_dispatch.h,sha256=bTCDJx_2SfU3SBw37eRkerFIQoxFsr9nABzBG9etGyw,1014 +torch/include/ATen/ops/tanh_backward_cuda_dispatch.h,sha256=87yeDFFt_xrco8MecdA55JhYnFMPnpDr3rhNaZ3JiO0,1016 +torch/include/ATen/ops/tanh_backward_meta.h,sha256=L58Qe-eqQIFFH6YQhtSBV5AFDS-40ddfRaBuXROUpOU,627 +torch/include/ATen/ops/tanh_backward_meta_dispatch.h,sha256=c5hHwffvqGr8pxGIIBCwIvE0v5ZdXWtTnfpsJ5gAexg,1016 +torch/include/ATen/ops/tanh_backward_native.h,sha256=n9gUSh61ZDfHa_dCjrlURVnXdAF8dpbtbti-SoXWiBc,669 +torch/include/ATen/ops/tanh_backward_ops.h,sha256=zVEtG9Vp2xTNzJp8dz2UWt_u-QRNe66Zk4-awKTt_GU,1894 +torch/include/ATen/ops/tanh_compositeexplicitautogradnonfunctional_dispatch.h,sha256=OQVmUti_spPJKlM5JmiXBvOTTJk6sDBboVm7n9Ufv3c,837 +torch/include/ATen/ops/tanh_cpu_dispatch.h,sha256=khq7PUKQ1THXtSJ0J-89jDHoCcUD-swCwAfQTIci5QA,920 +torch/include/ATen/ops/tanh_cuda_dispatch.h,sha256=yrcfdE38ouc1qkOXg1cjWUM-aKAHEPcmVNDPCd8xS2I,922 +torch/include/ATen/ops/tanh_meta.h,sha256=xRARexGOF5uQ-QunwfOzcIp4UqKdQ_qEdxGQGC-fC3E,584 +torch/include/ATen/ops/tanh_meta_dispatch.h,sha256=c9uDlsNwtm-qtf6XIwxdWoyGye5tH3PhTIrJRg7IPKw,922 +torch/include/ATen/ops/tanh_native.h,sha256=aZ-zwoiqM3G0-Pa2KBsitPdXJ6ZC8xfXNm3YxzccLaQ,1317 +torch/include/ATen/ops/tanh_ops.h,sha256=IhWfUvfrLkCGTu7FjNUC62RBjiNX1QzRDyPiwcez4MU,2104 +torch/include/ATen/ops/tensor.h,sha256=isoes7wQlV4GjiBAgES1eu_hDJ5Z7Nn1eDIo-vJTBnY,1631 +torch/include/ATen/ops/tensor_split.h,sha256=-sec-uMSRk4wxtjz-TcyC79fJrj6vhsy5SGKl0p3mkU,3214 +torch/include/ATen/ops/tensor_split_compositeimplicitautograd_dispatch.h,sha256=H5JK7evExo6-K1LJRsox4fWUBFHg8Y_uIHfEe09kWmY,1315 +torch/include/ATen/ops/tensor_split_native.h,sha256=6waXkDEecwXWvudL_J2ayTt0t7Ts6hScTSOXNVHB6SA,832 +torch/include/ATen/ops/tensor_split_ops.h,sha256=0HMJGNvwwiugZsEG2DGfzX0mwqHBzwRPj3RLWmwGXww,2848 +torch/include/ATen/ops/tensordot.h,sha256=jnjDUFTbe0IxhjEnxdvCh7_CfnmHR-phYdmEdLxQFjI,1525 +torch/include/ATen/ops/tensordot_compositeimplicitautograd_dispatch.h,sha256=GKHo5YJ6o4nCJYKxewCITKpRbv-GH9EhEwcssXAv5X4,1173 +torch/include/ATen/ops/tensordot_native.h,sha256=jjL--YUPOll7HbaAVaKEB1KIlpb9UwkKMQN2r4nQhc8,733 +torch/include/ATen/ops/tensordot_ops.h,sha256=xwOsAsz288xmk-aEGOX0yzlBlhEBmoPZHGGYFFki-eQ,2138 +torch/include/ATen/ops/thnn_conv2d.h,sha256=Wy03AHo5-3LSf3vns0ljCXfT4GWC-JGWyuqwXZuYjDE,6614 +torch/include/ATen/ops/thnn_conv2d_compositeimplicitautograd_dispatch.h,sha256=Fc77jZ7f3-xTSVQ9yw6x03kZRWeJlidXK0KvLVDDHEc,2169 +torch/include/ATen/ops/thnn_conv2d_native.h,sha256=IKnr9WoFoAUhaupdBn9dZXKnzzFoudmMCCYSGhCq08c,872 +torch/include/ATen/ops/thnn_conv2d_ops.h,sha256=Zeatn2_56vY4IEMUKxDL098XEfi8AkoENCqreSHhi4M,2680 +torch/include/ATen/ops/threshold.h,sha256=Ly23_zQReB6nxaZlAJtUqXllK39GHN-8AZ7BTP5IxZs,1620 +torch/include/ATen/ops/threshold_backward.h,sha256=TXxoml6-Y-OdDj5IF9Un6eoHMPrbQmyWP6qP6QzLjCM,1577 +torch/include/ATen/ops/threshold_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=plJpzm1z4Vb6Y6LEFRhFuBRpKZhh4sJu71uBs8uKM3g,864 +torch/include/ATen/ops/threshold_backward_cpu_dispatch.h,sha256=3RRYQvqNz0pGBKIpm5GLlDfPm9tYdQEXqpwyWEHpw0M,1113 +torch/include/ATen/ops/threshold_backward_cuda_dispatch.h,sha256=XYavrW3lmvvVr0r_7B56-EhFKrqvHWgrr6X9Oqljafc,1115 +torch/include/ATen/ops/threshold_backward_meta.h,sha256=o-uRYpv7Fn9S69PC-WZCmN6SrlFGtAIFv6OHAlljKag,660 +torch/include/ATen/ops/threshold_backward_meta_dispatch.h,sha256=Io856UNegr-z9rZofa9ul0SVMGHprgfINFefKpXNaLo,1115 +torch/include/ATen/ops/threshold_backward_native.h,sha256=iz89KFj4OGDBLcXTG-CjJ9-p_xfEgqhu3mtHJhrALjk,1602 +torch/include/ATen/ops/threshold_backward_ops.h,sha256=9AA-V5Qegh5fxLtUSS1Kih8T79Uyx85tnSgpFW6UxUc,2108 +torch/include/ATen/ops/threshold_compositeexplicitautogradnonfunctional_dispatch.h,sha256=jI63c68gBq8bfVtw_ycGKPUGhN8DIeWiqrVTPvQRyW8,959 +torch/include/ATen/ops/threshold_cpu_dispatch.h,sha256=rHiezQrfSYXnJn9n68hpVpu__zfxjl-6DWeSY2DvVmc,1164 +torch/include/ATen/ops/threshold_cuda_dispatch.h,sha256=k47K89InvDrRAOHe3yQ39OxOjn1DIpukBrz5zzi5A24,1166 +torch/include/ATen/ops/threshold_meta.h,sha256=Q8w2SMN177lZTJ5HZVXOKtfwBtZV_Pv_H0Arut1N8RI,645 +torch/include/ATen/ops/threshold_meta_dispatch.h,sha256=4hCfmDbySXTjcvz1NmZVFWE0DdFcM5HcIt--ImF8pHU,1166 +torch/include/ATen/ops/threshold_native.h,sha256=dH0xAj1fLpzN041-NELp8M2uQR2RldMtZEz7tm8UxWo,799 +torch/include/ATen/ops/threshold_ops.h,sha256=WRhObMxfCsKb1K9TL9aqwoO65pjazNOGrr_bW70BPKc,2701 +torch/include/ATen/ops/tile.h,sha256=JV6Cm30qxcqzvNHAzskQR46qZV0sj_Klf92MThS5uC8,1349 +torch/include/ATen/ops/tile_compositeimplicitautograd_dispatch.h,sha256=x2Ibfd3Xz2YWbxrJljyuI3hTpdJ7Pq-HRpOznFi5Nes,869 +torch/include/ATen/ops/tile_native.h,sha256=55nA7gCCfNm7no1BlBGeGWdBhFfucaqfbRyxnYBWja4,518 +torch/include/ATen/ops/tile_ops.h,sha256=zkhuW1i2z8v3u0U4LFyOMIIUAUGBq2BlBFwkQ6IuOF4,1049 +torch/include/ATen/ops/to.h,sha256=grBm2JAETXxVNEmEMOdimrwCLiTKfNUY7snQt2l8bJo,487 +torch/include/ATen/ops/to_compositeimplicitautograd_dispatch.h,sha256=kTS7swpV9zYihvaEf2ByZIN47zLVNPZhCXZD7TFc9jc,1701 +torch/include/ATen/ops/to_dense.h,sha256=HqmHPuL6zSiYhYY9aoHNaSsxO3tTPisViHvJ21Foyq4,493 +torch/include/ATen/ops/to_dense_backward.h,sha256=Cf5tqUw1e6N3qtNs4et1YQx93Yelw78G011TrkJsAJI,799 +torch/include/ATen/ops/to_dense_backward_compositeimplicitautograd_dispatch.h,sha256=p4pyGWPEkWDhVNIGwE1U-FoRcAW4xn9x-K7ArHyXZzY,847 +torch/include/ATen/ops/to_dense_backward_native.h,sha256=vfH0PLEJeAiuny6czLGcp1LX2u6iXXQaFb62OhupsuY,570 +torch/include/ATen/ops/to_dense_backward_ops.h,sha256=xBdMiDbf1XM26mLk45nswVMqLl5ST7xtzwIsDTv3xy0,1197 +torch/include/ATen/ops/to_dense_compositeimplicitautograd_dispatch.h,sha256=A-w2FvjXe99_1Oa38_D7raDGmXLempsuj6sAFUTxFdc,862 +torch/include/ATen/ops/to_dense_native.h,sha256=ybEcHosezGVeoGjinmK9ALPv7E6Grkr3lRJq0W9Yil4,585 +torch/include/ATen/ops/to_dense_ops.h,sha256=yT6AJymggKjZdD876fjBHlpvqDxNzWFr4NBZe0Fw6Wg,1216 +torch/include/ATen/ops/to_mkldnn.h,sha256=OgQ58eq9zIhEuPK1x6tk0lZ16cuXGQcEbZbiAPgCrog,1050 +torch/include/ATen/ops/to_mkldnn_backward.h,sha256=X4wGD3cc96NstL22mNO73SO3ndfUr4-0sFU5Mkpleiw,720 +torch/include/ATen/ops/to_mkldnn_backward_compositeimplicitautograd_dispatch.h,sha256=o1U7p_HbsENzQVP_PpmA5ubxRWXo-UpTP8W794QHH7s,802 +torch/include/ATen/ops/to_mkldnn_backward_native.h,sha256=JMOubFopgIWxw1shuIdVADAMVmc6RGwhfbdWE4rXJCE,525 +torch/include/ATen/ops/to_mkldnn_backward_ops.h,sha256=zedYIO6QZXPp0nYymjPxoWQC3rKZamYlKU1pZHxb6Rg,1089 +torch/include/ATen/ops/to_mkldnn_compositeexplicitautograd_dispatch.h,sha256=QuHx280QOuY7h_2t3SMgWbNrC_3Ndp7hZHWXrTk_jxk,960 +torch/include/ATen/ops/to_mkldnn_cpu_dispatch.h,sha256=ouw0kzsrkZql4mGhKiF_bkqeiLOU66rNDUdbLcRA308,773 +torch/include/ATen/ops/to_mkldnn_native.h,sha256=_9ebwiAwulPG7FIXaKbt1AVHiMpqGOAQ37wmn20QSZU,664 +torch/include/ATen/ops/to_mkldnn_ops.h,sha256=csez7AfEl1kuzXBZ-9miGfcHWNQgAlsBX1FAYFuVfVs,1866 +torch/include/ATen/ops/to_native.h,sha256=NXWgKVusf2yHJpBtlEbgTqJPQDMXEITB-tUyQkwmBjE,1279 +torch/include/ATen/ops/to_ops.h,sha256=jncSF0jGa8xRvj8_OgZtL7CHm4xdKtBV_58PqxOdYBo,4513 +torch/include/ATen/ops/to_padded_tensor.h,sha256=0ozILxzoprQiuFjleBjEDK-PrKEvw5KmXTN4fmeNHO8,4333 +torch/include/ATen/ops/to_padded_tensor_compositeexplicitautograd_dispatch.h,sha256=V8gM6wwdfi1uWVRY362NBlTQMNAizjArT8CbInwLHYU,1322 +torch/include/ATen/ops/to_padded_tensor_native.h,sha256=kk6308S3JdJNMc1fsY5ZfmPtjLU5xuTxvFGmQ-MxhNM,883 +torch/include/ATen/ops/to_padded_tensor_ops.h,sha256=_9JDLrYzs3Xr64qcCZVc5nuKIwFXGP0gVCsxz1_Demg,2032 +torch/include/ATen/ops/to_sparse.h,sha256=seGUZi67YBKhEzm10kqPBtJJpgWgvlsoKiYbu7FY4js,494 +torch/include/ATen/ops/to_sparse_bsc.h,sha256=NJz20y2XBjhh6r8FUZ_7KZBRU4DeGmLhzxeMYVXOuEY,498 +torch/include/ATen/ops/to_sparse_bsc_compositeimplicitautograd_dispatch.h,sha256=eDmQe3hy-yBZn6yGd9gFKGYK3rijF7XFQy-oEWuLCns,845 +torch/include/ATen/ops/to_sparse_bsc_native.h,sha256=6MW7XiB6r2xBgrPfsNUCVESkkRZz1ONnxueV7oEYzus,568 +torch/include/ATen/ops/to_sparse_bsc_ops.h,sha256=SiF0t0ArOkGmWuYiK6GjmSaQnpt-78_QAOJle6Rjhnk,1190 +torch/include/ATen/ops/to_sparse_bsr.h,sha256=Ve0CnVnfjrIGltPM3AyXqwMmQ3x1D39KTlHBTPpBFSQ,498 +torch/include/ATen/ops/to_sparse_bsr_compositeimplicitautograd_dispatch.h,sha256=GseeqnGkX8qgWlHGLVv8l2_n8Fg8ifHUX6IS-AXUWPQ,845 +torch/include/ATen/ops/to_sparse_bsr_native.h,sha256=WivTQsCi_uP7qnkzOcfEAmyYLDGZyzcU2MMOqVNygdg,568 +torch/include/ATen/ops/to_sparse_bsr_ops.h,sha256=cd1QQJwcHLSkfPj7FIkI5xQobtfsVFonzkcVH2cXO2I,1190 +torch/include/ATen/ops/to_sparse_compositeimplicitautograd_dispatch.h,sha256=W0JsAYePFCis94_IxipapB4inUavbPGXOYyD3F7-Uf0,986 +torch/include/ATen/ops/to_sparse_csc.h,sha256=BEAGLlDboTbLqhwAnoywpUVpqRu6sqjze_iayamrHmM,498 +torch/include/ATen/ops/to_sparse_csc_compositeimplicitautograd_dispatch.h,sha256=F3gyds4hcnI1GBaeLefiiLTuPKVAsMmFiC8HMZ6CQ_Y,818 +torch/include/ATen/ops/to_sparse_csc_native.h,sha256=L6rURVO9anrau2LWAjwp1ZFtuoz1WTuqP3C9Nn0z6L4,541 +torch/include/ATen/ops/to_sparse_csc_ops.h,sha256=vKHaVDtQ9XqK8luFkleY5nZfg4y4sL-LF_L9TFpLjQI,1101 +torch/include/ATen/ops/to_sparse_csr.h,sha256=vrTNwucbYg2QrstmMmXcM0GKIooe1vh4ESMZqRJBnlk,498 +torch/include/ATen/ops/to_sparse_csr_compositeimplicitautograd_dispatch.h,sha256=FUUhjg1ZV48RKMcb5qNgtgfg2F_Wi3vJupKC7EbOaCw,818 +torch/include/ATen/ops/to_sparse_csr_native.h,sha256=ZeBx8LDl5dmNVBDpC1k7Hml6SNUSdg5qFeCDDzkwywE,541 +torch/include/ATen/ops/to_sparse_csr_ops.h,sha256=cVhetmmSN0OiAOm9xWDEIu6cTJ43U_ej2ZRMCY3LPCc,1101 +torch/include/ATen/ops/to_sparse_native.h,sha256=o8O0EahjiDjCKR7We5xhcU0PyKbK7lj6NnsDb6pgVNo,709 +torch/include/ATen/ops/to_sparse_ops.h,sha256=zCKLu093SfRtZqYdfCqBUKwASvesrweAA_yIQ30-wTk,1966 +torch/include/ATen/ops/topk.h,sha256=4rMVVeKziqV8eyRF5LxhP_prqQAgNymTSM2wQR3sfKk,5141 +torch/include/ATen/ops/topk_compositeexplicitautogradnonfunctional_dispatch.h,sha256=Qu0OyAdcsi7Ks4bmOM93_aOrfJ03amuShm2RqKLcI_k,1029 +torch/include/ATen/ops/topk_cpu_dispatch.h,sha256=ERn1_1XT0uAPbmK1lWlgdyvOj-Hd6_190nRgA4WHx6c,1725 +torch/include/ATen/ops/topk_cuda_dispatch.h,sha256=CD6MfzITyCeasLUBDCXzJlyRHKdInCNM0E7QGmAX_FY,1727 +torch/include/ATen/ops/topk_meta.h,sha256=_Wfz1wUGHzpzT7eORsxifz_iU7XLuMVJe9RTyrdYw4k,635 +torch/include/ATen/ops/topk_meta_dispatch.h,sha256=XCFU7buxPpBvL5pAtkHyRr9GkCzBTWig_VjP03734kg,1727 +torch/include/ATen/ops/topk_native.h,sha256=oYJL6ItKdn5AIqTZgWk9fK5X174c8OAOQ0-iZYMzeJk,1066 +torch/include/ATen/ops/topk_ops.h,sha256=OVlMEXCgUOZLuWFw-C5Ra5GArarNbIoucWSJIMVljqA,2290 +torch/include/ATen/ops/trace.h,sha256=MUxgYN8N2Yp0rWp62jKQNAWDlrA1MAB2f9bwTgjhcOw,1005 +torch/include/ATen/ops/trace_backward.h,sha256=WNzauX7JBN4XgofUxxV55zEZ8BB039dASpbRxv9Mwow,1469 +torch/include/ATen/ops/trace_backward_compositeimplicitautograd_dispatch.h,sha256=tWr4wy15EycscUG1zc67fxftS1dMqw6CNkXOqIvdbpw,891 +torch/include/ATen/ops/trace_backward_native.h,sha256=_OwG6AplpOKt5JUNUA4qAuRgB6q_5szIYFPwL5ia1Mk,529 +torch/include/ATen/ops/trace_backward_ops.h,sha256=JMFandPNxtKUKJ8eJX9xeDYx2_ZbS8vdeb6KR1HJNMg,1082 +torch/include/ATen/ops/trace_compositeexplicitautograd_dispatch.h,sha256=F5a6MKncE7PD2pe2adeoMQ8wAyYfn7Rjwf3OPwOmgbM,865 +torch/include/ATen/ops/trace_cpu_dispatch.h,sha256=JXw0FbDz4QYdluTWpWIuOeS86zits71-T2xImJn-ujE,719 +torch/include/ATen/ops/trace_cuda_dispatch.h,sha256=s1JLCXg53uWtpfvz1nayHb7_NY9kfs6Fa9pkMFLGi-g,721 +torch/include/ATen/ops/trace_native.h,sha256=0WKPJmjk3lL-5XL8ET7AOIo4--m45UldbIhxWGVZGXs,625 +torch/include/ATen/ops/trace_ops.h,sha256=P3-IlZvjpwwx31wm5JI1JPmAD6BTLyh2X7WZ_DYls1k,1584 +torch/include/ATen/ops/transpose.h,sha256=rR15sjRw0gzcD3BaHyNzZp6w2s1Gj9r6Lsb2LsVF6J8,953 +torch/include/ATen/ops/transpose_compositeexplicitautograd_dispatch.h,sha256=agl0kg8AFsNUCam_VNjFJUP0acOTmLhC9ibOP5O8WZg,877 +torch/include/ATen/ops/transpose_compositeimplicitautograd_dispatch.h,sha256=HDXuYGWsSldkOukUY8Jg5ldFKv0l8DBdbrkWhCxF4sw,803 +torch/include/ATen/ops/transpose_copy.h,sha256=5JqZgyi1jC1y3BJ4P07CttFLPQrcxpztr03ONefY3Bw,1299 +torch/include/ATen/ops/transpose_copy_compositeexplicitautograd_dispatch.h,sha256=5j80UW3aOQTbObPFi5YKK6ElrRT-V9cpCi5qdYtfbM8,939 +torch/include/ATen/ops/transpose_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=XNWCxj8jCzhf3rX0tjlrlHn_TbHckzwH4pHBIkhcPLg,826 +torch/include/ATen/ops/transpose_copy_native.h,sha256=yLe118G8oLyc6_-AJTp83WDIAtWGe6sch9tUD7ekRqA,645 +torch/include/ATen/ops/transpose_copy_ops.h,sha256=nUC6D7yTEWFrmAa9-surUCVBpJvNLFqIsDbjaY5XOpE,1849 +torch/include/ATen/ops/transpose_native.h,sha256=pAyfTUTSnWlPFEfGMBv0w5vuQHm2Q7dTkLy9Y-oXInA,785 +torch/include/ATen/ops/transpose_ops.h,sha256=6bkYie968JwSo9pLcqrijkbz_UZ8MUHKEqROQf_oTHo,2419 +torch/include/ATen/ops/trapezoid.h,sha256=aIQa7yTbotF_QVJu5YlEoq9qTKE_kSkl1XuzbSL5woI,922 +torch/include/ATen/ops/trapezoid_compositeimplicitautograd_dispatch.h,sha256=q8UX2QQ2Ad6z46_Rzvu7f8bjed6-3jUa1CbufrObrvA,897 +torch/include/ATen/ops/trapezoid_native.h,sha256=W5sdVAk-bJk-5D_7oJ6OlmF3apa9LOc5BbiH27S-tJI,620 +torch/include/ATen/ops/trapezoid_ops.h,sha256=UMZSCFa_q1IJDZWsxPgWE42TzB6-pNMdALp2PgM6wkg,1766 +torch/include/ATen/ops/trapz.h,sha256=4N3aO2SfuU53GDu3KG0u9dPseeXa_WUE0Xv4mhFtrJY,881 +torch/include/ATen/ops/trapz_compositeimplicitautograd_dispatch.h,sha256=wI6ESJPpPf_y3Z-Bdx9VteUyISKJxG3dmU28mTVKc10,877 +torch/include/ATen/ops/trapz_native.h,sha256=PpMqlhW2onjahh_qKhv3rO3yy8hAVw706i-U8vLS8Vk,600 +torch/include/ATen/ops/trapz_ops.h,sha256=G7QdPGZjes52Kt6S7hQBynpL6sfiWLLKTD86WonjQqI,1705 +torch/include/ATen/ops/triangular_solve.h,sha256=i0Dr3ivSjnd51TNTTah1hT4Tl-jpedVk28oDroaTur0,1939 +torch/include/ATen/ops/triangular_solve_compositeexplicitautogradnonfunctional_dispatch.h,sha256=54BpzwCgBVYaCocIOnfpzoHGSxoeoeY5sxqEmA4PHNY,912 +torch/include/ATen/ops/triangular_solve_cpu_dispatch.h,sha256=4mDBERpVsAd87vv7zmPj38fvhI8oH71PvxnpdqozmEM,1258 +torch/include/ATen/ops/triangular_solve_cuda_dispatch.h,sha256=YGfgPUfS-ShS8mVX6Mgp0us3HTala9o7KfLjQMyBGhE,1260 +torch/include/ATen/ops/triangular_solve_meta.h,sha256=1oJ1VMBHvzr9b0Hr3f6n3ihMNmF_hmSeluzUVpIWN-0,666 +torch/include/ATen/ops/triangular_solve_meta_dispatch.h,sha256=HsmQ_mvLK4TYiDJ6AzbGe-U-kcev6MW76ZZRUl4HVmE,1260 +torch/include/ATen/ops/triangular_solve_native.h,sha256=7_GZIuk0gZxPi2QIFM9TIgZPVdsjmD-NXqWCwaTTfOM,1156 +torch/include/ATen/ops/triangular_solve_ops.h,sha256=_jFSl6Hbvc3v3wEAGrxbbWABtvMpD-93OCx1RV1NYJk,2440 +torch/include/ATen/ops/tril.h,sha256=XIP73wfLdaErGSMFwX9VLNPwuRsq_cPJe7lyYCbMK98,1131 +torch/include/ATen/ops/tril_compositeexplicitautogradnonfunctional_dispatch.h,sha256=5-ohybdX3JN90qOoOeDGCnVmMZHuu6_5-9Z6ujwYU30,877 +torch/include/ATen/ops/tril_cpu_dispatch.h,sha256=j_cPObg-KxVFPU6Y-vIKSj0dozihDnRrV7B3jgqqjHc,998 +torch/include/ATen/ops/tril_cuda_dispatch.h,sha256=miRBJvkWAqXD_TJc29cPccMPu-VDeF6uu6LUSVr4wbI,1000 +torch/include/ATen/ops/tril_indices.h,sha256=Cj6xRNLg_RpiWZucd0Uer8ynOygZBmjYYuizW_Yj9IU,1935 +torch/include/ATen/ops/tril_indices_compositeexplicitautograd_dispatch.h,sha256=UgI7ZUKrj4gfcTtZKisRtOPfGnksOxjaQNlk368jLcc,915 +torch/include/ATen/ops/tril_indices_cpu_dispatch.h,sha256=DnSvDAREPkcF_vAVbs4zjJ1bO0WmJFIZr6vdnrffrhU,996 +torch/include/ATen/ops/tril_indices_cuda_dispatch.h,sha256=skDIxILRkuHTiS9Qo0Vvh3BPeR_0lIAr75d3cYGVoy4,998 +torch/include/ATen/ops/tril_indices_native.h,sha256=n0F52HYfGft_6LsjxEA-h3xpQimFgjb7UmGVzPgo6zc,999 +torch/include/ATen/ops/tril_indices_ops.h,sha256=fIjwpTUJ4C5Y3kdtkZkBOBXhDIypys_CpkEAp3vFSOo,2218 +torch/include/ATen/ops/tril_meta.h,sha256=hm-R-5tuQNZ3xh3DNrm1o9Ygq0PJ5qA3txW0kLf1Xow,602 +torch/include/ATen/ops/tril_meta_dispatch.h,sha256=PrOhBhmmnHj57L3DJK8aXMf6jwrDSYp39VtAHfBGztQ,1000 +torch/include/ATen/ops/tril_native.h,sha256=LBqVmJLe7BawASyR88ukv3IBvDMAvlmYnPKJRglWfgI,775 +torch/include/ATen/ops/tril_ops.h,sha256=FZqlKS5ozvLTFrcY4RYk-Rk0GWKSJ7-sV2q_ZlNqWXI,2287 +torch/include/ATen/ops/triplet_margin_loss.h,sha256=kj_fWTC7ETTbdVgJpyrH1ZR8PJlz_e4_iW1FghQ4KCE,1016 +torch/include/ATen/ops/triplet_margin_loss_compositeimplicitautograd_dispatch.h,sha256=EMaoyps0TftBzAgskERCPXzYrks9LmGR02cxsBjaSuc,942 +torch/include/ATen/ops/triplet_margin_loss_native.h,sha256=yPHOZxcAVNevXXxbX2yPHo2BAU8NxqZeHsd08YsQwjA,665 +torch/include/ATen/ops/triplet_margin_loss_ops.h,sha256=6Z3gauIedKrICmOAaX4DzQQEj1hbRlr-5XBSUIdiYDc,1458 +torch/include/ATen/ops/triu.h,sha256=YYuVHDyMWi5evygktdEMUBi34BJyccLYdmj252Zqx2U,1131 +torch/include/ATen/ops/triu_compositeexplicitautogradnonfunctional_dispatch.h,sha256=PX9h-oZr-IeA5-SCyd50CqcHOs0RCEjPdxbglUIWNh0,877 +torch/include/ATen/ops/triu_cpu_dispatch.h,sha256=Nd4WAAsCxgo6iW_nybTuUmbAtpgBbF3H3ksogxbNG6w,998 +torch/include/ATen/ops/triu_cuda_dispatch.h,sha256=WP0LKqNl0j_S-p9X53c3UjVUqOxfuNA673ouNfSM92Y,1000 +torch/include/ATen/ops/triu_indices.h,sha256=xSwj13hB_rO1AYDkL2Gxa39HhHTs5Z9JoWyqXcCAFyA,1935 +torch/include/ATen/ops/triu_indices_compositeexplicitautograd_dispatch.h,sha256=Q0aLJMcY8QNG1bYbVLkKUPuXQX3E-foqOf1YuXn1umA,915 +torch/include/ATen/ops/triu_indices_cpu_dispatch.h,sha256=x_utdFIoXgf3fkkCKmdqkV9MksgA1b3XtNEbzzSJrAM,996 +torch/include/ATen/ops/triu_indices_cuda_dispatch.h,sha256=NYTqXhx2sVkOomzbJkLrnYoM4G3w1SklpfgOnsLtgU4,998 +torch/include/ATen/ops/triu_indices_native.h,sha256=0N1rEtVftLQs9-asBXXcnj_9ioSaZecUqXfRh16APUA,999 +torch/include/ATen/ops/triu_indices_ops.h,sha256=fmirMUmP91twASvviSyIbnU47KFI06p8KJUpAepm66U,2218 +torch/include/ATen/ops/triu_meta.h,sha256=MPCshj0SDUkRYd4sVeq4TF4ZvLiWowwk39-0m4nAEM0,602 +torch/include/ATen/ops/triu_meta_dispatch.h,sha256=zYdPTQ3dJWM0q7JcfWW1HKVpOJlqGtmisHjjVMEgPbI,1000 +torch/include/ATen/ops/triu_native.h,sha256=fqHGhniYaKSTMSuuRoVhpYK5QaA08sP6gAxilsUIWRg,775 +torch/include/ATen/ops/triu_ops.h,sha256=5Fv53MtNBRPos7hHMM24biCweAcfBg0xm4U-EI36sM0,2287 +torch/include/ATen/ops/true_divide.h,sha256=CZ2PotWa89piZ0BWqvtdDDNHurMbOROIlR6ayK9GGL0,1431 +torch/include/ATen/ops/true_divide_compositeimplicitautograd_dispatch.h,sha256=zWjpyEZbtEpfWk7ccj5FH8Q00U1Nb66PiHBunX1ZYLw,1263 +torch/include/ATen/ops/true_divide_native.h,sha256=VG-RWqZF2npaeVKo7YOO-iZojmTjh4s5PUGu1h91bd8,876 +torch/include/ATen/ops/true_divide_ops.h,sha256=sds1tD52MH7QC6EevBZxXzOrGLbY93cRrCuMglHp7sE,3772 +torch/include/ATen/ops/trunc.h,sha256=QjZClYKDxgUQZc1WuTPUBoDk83tVGA-LjcfjzrjbpRk,1144 +torch/include/ATen/ops/trunc_compositeexplicitautogradnonfunctional_dispatch.h,sha256=dCO_GcChs0manJdXYG3KlV6SdApOOhvKj2NYp03Ecqw,839 +torch/include/ATen/ops/trunc_cpu_dispatch.h,sha256=7x287ZQuYusJI-GdJeLu_NOjQ5KwGCgIOUEPdBxqYos,924 +torch/include/ATen/ops/trunc_cuda_dispatch.h,sha256=2KiQVNSCQ77QcAck5fdOsL4p1QfoYrIrYzC_smc0upk,926 +torch/include/ATen/ops/trunc_meta.h,sha256=nCgqk1r2eUEzWo5KkIcadMAANcHi43JB911MlWOj2h4,585 +torch/include/ATen/ops/trunc_meta_dispatch.h,sha256=h1ynWuXUj0jZukKd3czkxuc5o-DmjfnjfAu56MeCzeQ,926 +torch/include/ATen/ops/trunc_native.h,sha256=5vlgxRmFTnqGSPweZwU_c6ox-sK7hgalFc9rPEcCj0o,1018 +torch/include/ATen/ops/trunc_ops.h,sha256=9o8dYlUJGpFbmOqslZXm4XbDBg_g83jZAYUkBgNu0xM,2113 +torch/include/ATen/ops/type_as.h,sha256=_Kqh2buRdf_d71-n_naIZb_8kzNAtBT3g5n9g9MX5qs,492 +torch/include/ATen/ops/type_as_compositeimplicitautograd_dispatch.h,sha256=CWUeUszFQE7v0_E3bA0qmhH94ZNtfbkBe8x6Et0I2gk,791 +torch/include/ATen/ops/type_as_native.h,sha256=OlXgswqHbJQDngM3Q5C2yPIAItLZQyWuiWsTa49m4GQ,514 +torch/include/ATen/ops/type_as_ops.h,sha256=Cwb4P3BnP7QaVb5I18dUJzBpUDKoTGV8FPH0geA9u8g,1056 +torch/include/ATen/ops/unbind.h,sha256=IMWWMoSoWISAxhrGM1h0Ct9Gde_J_ersK378-XLzZBg,906 +torch/include/ATen/ops/unbind_compositeexplicitautograd_dispatch.h,sha256=P5-8u0Hw_MalXZ1LzEQCnVuF13fL9PVqD_ZGryKK5Nk,794 +torch/include/ATen/ops/unbind_compositeimplicitautograd_dispatch.h,sha256=wKmUNYKWbty4rnXxlpkgupeVI0AYPjyCEIF682ucCLs,796 +torch/include/ATen/ops/unbind_copy.h,sha256=4frsQWt6kNu5xzO7QE9DTl6sewV352gS3NWD2fLhRgo,1173 +torch/include/ATen/ops/unbind_copy_compositeexplicitautograd_dispatch.h,sha256=tZcnH7E_Rne2WwO-wZvuXod1gwYNnY9OzaJGbsK0OOQ,893 +torch/include/ATen/ops/unbind_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=BPbMKVtyBGozDLypoJSZ4YT3B0TYkXe8KJr9kPZ0AT4,825 +torch/include/ATen/ops/unbind_copy_native.h,sha256=GqiUsASQIXbLYp63HwwcE1Teij75vdzO-QqWWbgmxA8,620 +torch/include/ATen/ops/unbind_copy_ops.h,sha256=JnEfSgUJ5EQVd2GpdvaJPSJ06h-RapJY1jnxcSU3RP8,1758 +torch/include/ATen/ops/unbind_native.h,sha256=6kf3381R1fRxmZJDwqQ4EjoWvPfB0URUxYmCVmmhF4c,700 +torch/include/ATen/ops/unbind_ops.h,sha256=zdHxDshziLPW4ukER7cKZlOO-g1xRGuADHaVG3oo7b4,1756 +torch/include/ATen/ops/unflatten.h,sha256=UR585KKBZdbJrc1UBuzy4DMdbbKcc6kEXZ0-YgLzQ4A,2789 +torch/include/ATen/ops/unflatten_compositeimplicitautograd_dispatch.h,sha256=zHf393MQjxFSlIYna-UxDi_6z7-sx6qxLCQj7k4xlG8,1158 +torch/include/ATen/ops/unflatten_dense_tensors.h,sha256=CqZe1jx8hpDTiJgwpORZPOrMMnp04bIfgtlrgxlmUx4,761 +torch/include/ATen/ops/unflatten_dense_tensors_compositeimplicitautograd_dispatch.h,sha256=cUSLTgLf47XSILcdecH2hWXx0hB7llik-5PY2Ar8Z90,820 +torch/include/ATen/ops/unflatten_dense_tensors_native.h,sha256=KFhHMw1zLowtxdmuh-xsBtPyi_1VzEsEPywmlAZIF9M,543 +torch/include/ATen/ops/unflatten_dense_tensors_ops.h,sha256=1y2g41DONP_FkCw6yOc29k3IDwCEnTOJPsAShhroWIA,1147 +torch/include/ATen/ops/unflatten_native.h,sha256=sXrsBPxwXAHwtCmyP73cKiEPdBj-Jalwgie5ebH4GfI,676 +torch/include/ATen/ops/unflatten_ops.h,sha256=gSIBZnVNbJRhlnoMhKPYCfJCIyuRjK3asEmlsJ9gcGs,1930 +torch/include/ATen/ops/unfold.h,sha256=3Lai5eT6vk3mVIvQVedLzxptXZTMn5_z-Zth0yErvHM,491 +torch/include/ATen/ops/unfold_backward.h,sha256=mG7wxFrLveYGlIPMEJFAFJ0jh8LtJb8qHG4YlwPgVvE,4958 +torch/include/ATen/ops/unfold_backward_compositeexplicitautograd_dispatch.h,sha256=s21Jla9nR7AByxPwXA2TpPWa3kSZDuKexQsaREH-rEo,1374 +torch/include/ATen/ops/unfold_backward_cpu_dispatch.h,sha256=Cv4Sd5OPcEBovk7cKpvA5aFM2vjRZQ_Thgh3-PNP1Oo,949 +torch/include/ATen/ops/unfold_backward_cuda_dispatch.h,sha256=5CmCi4YmNeHvOoOtkB7yP7IIncUGYTo-rAW7joyHihA,951 +torch/include/ATen/ops/unfold_backward_native.h,sha256=D2rPiuqPoLoVx7bS37_xAILZMlkNLaUfw7OdNDDxinE,740 +torch/include/ATen/ops/unfold_backward_ops.h,sha256=nAqa4yPi_p4zXhVZ3ByaKNeIbk8BFjBrlAX2PWFkncc,2156 +torch/include/ATen/ops/unfold_copy.h,sha256=-qmJo0yBtE9wRdcCx8WCDHgEXuqE8Q68jRJ8s_oKvr0,1380 +torch/include/ATen/ops/unfold_copy_compositeexplicitautograd_dispatch.h,sha256=ZeVZzMP-Ic18S1lxjtH87mfqULiUckew3lODT8e6c24,971 +torch/include/ATen/ops/unfold_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=-LZwhut8sqMT6KgTHomKxgVBStqiFMcrpeOkx2BW9xA,842 +torch/include/ATen/ops/unfold_copy_native.h,sha256=HSA2o5MdcQ7IQ-C4Dzyomt7qYYYWrOOfYdTmLK1VNgw,669 +torch/include/ATen/ops/unfold_copy_ops.h,sha256=BjyS1WbnGMZ_3oeVWsXWLpP52_AmL_wtHu0nO0EnmkU,1932 +torch/include/ATen/ops/unfold_cpu_dispatch.h,sha256=_bfZWQWfJQ8tAT9OpM4rihJ-LvYjSnRWAMe_IlYrnvc,767 +torch/include/ATen/ops/unfold_cuda_dispatch.h,sha256=bB615aoWn898Okd3MLj9w4pqZjqWBhf4rtELvCYCP2A,769 +torch/include/ATen/ops/unfold_meta_dispatch.h,sha256=xQP1zG-31Yy9Y22_jHUHu-gBIUaeutQbSFUAfbUXcIM,769 +torch/include/ATen/ops/unfold_native.h,sha256=Nd9GZaYPCakzdSmxkZ3jZ9rDf58n-phPT2GVlo00RII,534 +torch/include/ATen/ops/unfold_ops.h,sha256=-u6058GVn6JGkHsI9t-GJlatDnsWU_usQ41406wbZ7M,1129 +torch/include/ATen/ops/uniform.h,sha256=ppPNQWWVLevFiiwzsNwLnao9c5orW6Fc-kB_9QelnVc,1476 +torch/include/ATen/ops/uniform_compositeexplicitautograd_dispatch.h,sha256=JxwNSErxJB0IyvJFvlpxBNrW0r54CVboMlbHhPXXpB4,1150 +torch/include/ATen/ops/uniform_cpu_dispatch.h,sha256=MUyEpJUTnmGg0ElahnRVMD-1_Vp9sxpy177jcW-Aseg,799 +torch/include/ATen/ops/uniform_cuda_dispatch.h,sha256=qnWKT23UMUDyIisWUTKh5jQKsI6kbG7crTrhU3QX1pU,801 +torch/include/ATen/ops/uniform_meta_dispatch.h,sha256=kVTNADPGnv3-RCv6YcVD-665Nst_681MqnFDjmqWMWo,801 +torch/include/ATen/ops/uniform_native.h,sha256=hPY6X8qRIdE5x48_t_fve4faGRmkSftNIpMK3vlyZAU,983 +torch/include/ATen/ops/uniform_ops.h,sha256=8nr1aCeYbDGELNtC3X7zLQYzUrrWOe60RJ5KV6XfMI4,2818 +torch/include/ATen/ops/unique_consecutive.h,sha256=sFWBZjO7UCMl4X-CJEGWQ6g4sisa0y4hUooRrNG6hes,2064 +torch/include/ATen/ops/unique_consecutive_compositeexplicitautograd_dispatch.h,sha256=fxYOB-hgAfCXBuyYJa7QFgOg4DCDKCtT0AHEtby0SLs,1212 +torch/include/ATen/ops/unique_consecutive_cpu_dispatch.h,sha256=_vwlJvm4MWUpFNj3aGagw2Jvhm8pziFR-g05LxBN-bg,862 +torch/include/ATen/ops/unique_consecutive_cuda_dispatch.h,sha256=0nR3Rp8JAiRvlgMCXE9QG9Mndg6WxY7PjdhkmtO8sPU,864 +torch/include/ATen/ops/unique_consecutive_native.h,sha256=QkAphXCxsVIq_J1Zm6Ve4ACO97hB_eQwsUwJLsgWBEE,1072 +torch/include/ATen/ops/unique_consecutive_ops.h,sha256=Ie4y0YygSunGO53q8Fct_0FS7p0JCGf4EQ3nZh-PUdM,2559 +torch/include/ATen/ops/unique_dim.h,sha256=c5uBYVNAwhuXto8xQwuStkl_ar5WGzOELwvEuT9oBOw,2022 +torch/include/ATen/ops/unique_dim_compositeexplicitautograd_dispatch.h,sha256=mGvoKTDt91GrTz4tbwndAWq5NtzXbjcBolqf_6HLhrY,1184 +torch/include/ATen/ops/unique_dim_consecutive.h,sha256=UadgmDfMq-Eiu-6-4E2EPfM8Kiai5kaQg-5R3CGo0NQ,2015 +torch/include/ATen/ops/unique_dim_consecutive_compositeexplicitautograd_dispatch.h,sha256=fhDAveSIwKj7Jf2U3akTUpp5YhDdggQwCrof8RgaOAw,1177 +torch/include/ATen/ops/unique_dim_consecutive_cpu_dispatch.h,sha256=nLPzCmjdXHWrskuLfFHHf-luFDHNgmHfBBzH-yxSlDI,838 +torch/include/ATen/ops/unique_dim_consecutive_cuda_dispatch.h,sha256=Oy4vN83UYw6fY0ufd_hxUSYN-ZMLFOuS8Km1sazC3D4,840 +torch/include/ATen/ops/unique_dim_consecutive_native.h,sha256=5X5YfoP7Lu3x9aqT17iz3gsPu7eFOU6aM2DLdEYBOUM,1013 +torch/include/ATen/ops/unique_dim_consecutive_ops.h,sha256=Axgxc3NESLfOVTg7abGm9ZM-_j3yv-dcPoZsO4iSEAo,2481 +torch/include/ATen/ops/unique_dim_cpu_dispatch.h,sha256=YhfPIoL_2AJ2djZBElHEruKQu_nSdIRtU3BL4UpP84Q,844 +torch/include/ATen/ops/unique_dim_cuda_dispatch.h,sha256=wm4zKSt_s3pEMtFyEep_TQDj-2-xGSn1aQ7hDPFdf0g,846 +torch/include/ATen/ops/unique_dim_native.h,sha256=2bGSJTVpwn_GG-5avrfv29rhStU9EPnxByGAIaj4uYY,1026 +torch/include/ATen/ops/unique_dim_ops.h,sha256=R0gJz2e80ErQv6xbXzgEde92h0XqrgorZAPbG21wDD4,2509 +torch/include/ATen/ops/unsafe_chunk.h,sha256=6Mpycqv3IkysdeiM-vd9bzwOkCsV56jYr7UG6veZtWg,733 +torch/include/ATen/ops/unsafe_chunk_compositeimplicitautograd_dispatch.h,sha256=pGS7-Ry2a7G1fkVO_TpKYV9brG-1kwH6wWrt0rWxDRc,816 +torch/include/ATen/ops/unsafe_chunk_native.h,sha256=XnKMFvewJwKK7my8-Owju6bXEwzJCHNYd6UImhGrlRo,539 +torch/include/ATen/ops/unsafe_chunk_ops.h,sha256=i2YvZZ8sqs9QNoN0wQrRZRUq_fFaU7wObzo0xTdgCEs,1131 +torch/include/ATen/ops/unsafe_split.h,sha256=VE4tvXjVMrhu7eKvMK8r-UISysJmqY6rauNrBYlHryw,4027 +torch/include/ATen/ops/unsafe_split_compositeexplicitautograd_dispatch.h,sha256=RrpF52NWxPQsFD6bfk-7I9mVUxBKOj_ItvZ9jw_3t_k,1413 +torch/include/ATen/ops/unsafe_split_native.h,sha256=-eM2aTPJVsW1n8u2asrCV2cIiu2DTO9vQ0R-wv9JlwA,672 +torch/include/ATen/ops/unsafe_split_ops.h,sha256=8PHAIfhDzEVBzGoUCgmtEDs6TeMubmRgd8OO8mtr8_k,1942 +torch/include/ATen/ops/unsafe_split_with_sizes.h,sha256=nF5YEMneQHVQjJ2tJV0olbV2cJ03_tpfQVp8vrCXlWw,4536 +torch/include/ATen/ops/unsafe_split_with_sizes_compositeexplicitautograd_dispatch.h,sha256=06Bb0pwSFzqWLUeRmSWte2QvItAWKEpqenWOcSu22OM,1533 +torch/include/ATen/ops/unsafe_split_with_sizes_native.h,sha256=VbOkRUJ9yzQvXOdr42j8iUnRQdFl1ZhB1OPvAqXaHw0,705 +torch/include/ATen/ops/unsafe_split_with_sizes_ops.h,sha256=ZOdxXR17SPmbWnpnkZJzAzX0Gs0GC2f9auku_ozy6C4,2025 +torch/include/ATen/ops/unsqueeze.h,sha256=jxe_2wGo9aByIaNqTTo58aYk65FjakT9j-42IKXhvA4,670 +torch/include/ATen/ops/unsqueeze_compositeexplicitautograd_dispatch.h,sha256=7lDGAOB3oT4Ws5A116arqp5AbXxIRXGkrbVI1cZN9YI,847 +torch/include/ATen/ops/unsqueeze_copy.h,sha256=KPq64F-diYzhJvg2YYXmdMk_jRUf4ocm9XY6aPNDMPs,1176 +torch/include/ATen/ops/unsqueeze_copy_compositeexplicitautograd_dispatch.h,sha256=kYx0Dtzvdx26dxK07SQbptCeRRwv_db4JR0n1p4tYHw,909 +torch/include/ATen/ops/unsqueeze_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=FCD0pzttX8xpG4LFHpGw5e0Ml2QxY3wPSKaD1s9bkrA,811 +torch/include/ATen/ops/unsqueeze_copy_native.h,sha256=uyYq-v1nApcmE8nnMxabEyvdY-p-b4hssrdilCzjs7E,607 +torch/include/ATen/ops/unsqueeze_copy_ops.h,sha256=Uh7lr8nz9pIBK6lEZKJ3cg_wH5pHJXtZP1X9u1Y6omo,1726 +torch/include/ATen/ops/unsqueeze_native.h,sha256=tVVQ1EWtCT4OEr6GHomA9eje0jSXCx0a7YnAX-n1Tno,804 +torch/include/ATen/ops/unsqueeze_ops.h,sha256=DdYwwAIditYyg2wY8D44BGy-XC-9IZNO0_EAqD8LEss,1611 +torch/include/ATen/ops/upsample_bicubic2d.h,sha256=AZM4gDtCtUZijdBLx_2rQ9bACaVF_IbJNIM0zA6tTjA,7870 +torch/include/ATen/ops/upsample_bicubic2d_backward.h,sha256=eu2aDGlwBgj6qH9Ll-i1K_qIT7et4fbPYP43CO_qqg8,7622 +torch/include/ATen/ops/upsample_bicubic2d_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=a7mTWdYryHBwlUYtyfdQD8e0SHKYNx9O2255HqI_ANQ,1249 +torch/include/ATen/ops/upsample_bicubic2d_backward_cpu_dispatch.h,sha256=eyNWqatxronDFOOof297Rbnhz3PTqw_d6YZAIcdkgeI,2279 +torch/include/ATen/ops/upsample_bicubic2d_backward_cuda_dispatch.h,sha256=befLvlfpQaNWvKQyQTGyaQGTs6UIItg32kBZZUqetWE,2281 +torch/include/ATen/ops/upsample_bicubic2d_backward_meta.h,sha256=0bq6jp94XzyVCgUOYguZhNgMiLk_u9ysdOTe7rKPWhM,767 +torch/include/ATen/ops/upsample_bicubic2d_backward_meta_dispatch.h,sha256=84-sie0voK7zXpZ6j9wf6zmBgVkxt5UwGu5JdmXRBy8,2281 +torch/include/ATen/ops/upsample_bicubic2d_backward_native.h,sha256=PMcAuyfwZM3ckK9CpiPLzZx8UiWm7D7JFVvsR0cUdGE,1196 +torch/include/ATen/ops/upsample_bicubic2d_backward_ops.h,sha256=c0zGN17PCVJcTne1LzcWtrzOasz1RkYOPZOLTaes15o,2802 +torch/include/ATen/ops/upsample_bicubic2d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=STHdoeDlzGGNNZ7aaPJ8kz3pMrR0uNQ7M1ALOfUvMNU,1157 +torch/include/ATen/ops/upsample_bicubic2d_compositeimplicitautograd_dispatch.h,sha256=h3CZ9mU1pZbJKRLFVhK8Gi41fJOoUGVujO8ohO-O0Ok,1070 +torch/include/ATen/ops/upsample_bicubic2d_cpu_dispatch.h,sha256=vvxgf0iUBV1E3p2Nz47jFZdW85VoF2IUFmkgLrTWzdk,1975 +torch/include/ATen/ops/upsample_bicubic2d_cuda_dispatch.h,sha256=4tP-ehdvuIkBsaUpWsq1M2ZvmggqhX7xtlWLMrfSTYw,1977 +torch/include/ATen/ops/upsample_bicubic2d_meta.h,sha256=4-Oqw_fbs2-7tLbkxOcnFcFvpvQyCTtYvdCUpCfWTVk,717 +torch/include/ATen/ops/upsample_bicubic2d_meta_dispatch.h,sha256=Q5n683kitcGLKKOmRAgymumbC1xvQIBD3xJC12HIMTg,1977 +torch/include/ATen/ops/upsample_bicubic2d_native.h,sha256=KY0kNKYQ3PzoH5GAFiKQTIWoATAoReO9SWd4SDdMqBE,1230 +torch/include/ATen/ops/upsample_bicubic2d_ops.h,sha256=HZ_QSdv--UnqNv1tv6kwVBADdXH-wI2eeTUnkWt7OXM,3393 +torch/include/ATen/ops/upsample_bilinear2d.h,sha256=ADFFkWIeK4GxL4jgfEFhaML55r8UBtEMB2vFhr9vPdU,7911 +torch/include/ATen/ops/upsample_bilinear2d_backward.h,sha256=nc6mybPt0GCMfU7FZlQjf3fltVnmrKxvzg2kaRiZ540,7653 +torch/include/ATen/ops/upsample_bilinear2d_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=1cxf8cBEYveuW4C83_ztuFe_5Kwjmz46R8KD5c6W1LI,1251 +torch/include/ATen/ops/upsample_bilinear2d_backward_cpu_dispatch.h,sha256=8P7blmIkQnWeAfExhFK8l093vGnIo30wGg3bvd2kr_k,2285 +torch/include/ATen/ops/upsample_bilinear2d_backward_cuda_dispatch.h,sha256=aMZvpoEpKAQ9C2Eq574Z3YrkPHRLbsv-uXGIbw1xan8,2287 +torch/include/ATen/ops/upsample_bilinear2d_backward_meta.h,sha256=5DBiJC1ccY_2CfglHRmedEwLB_Pt9WK9mM_tPe0xrW4,768 +torch/include/ATen/ops/upsample_bilinear2d_backward_meta_dispatch.h,sha256=1XBZb4Tp6_6UZf8XQWLVAPZiur6FfQu3s74HLdW56Xg,2287 +torch/include/ATen/ops/upsample_bilinear2d_backward_native.h,sha256=Uezyzh4A3_Qi2tp6rKIK2XI1xmRM9CxeqDnzWtfChoE,1201 +torch/include/ATen/ops/upsample_bilinear2d_backward_ops.h,sha256=yfQCuPNX2X8QjPK7Mku5XG4VeAgjyV7Dhq0AqF8lsLI,2808 +torch/include/ATen/ops/upsample_bilinear2d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=3pXECwZskaXNJkOOKaY-CLvIQ8_Xla8YXs-WwA8Wg4E,1159 +torch/include/ATen/ops/upsample_bilinear2d_compositeimplicitautograd_dispatch.h,sha256=_ghA7zs7cintggTCxvwIqyD3Jhh7FvcsTp6lqvxOXlA,1072 +torch/include/ATen/ops/upsample_bilinear2d_cpu_dispatch.h,sha256=woTXjF_7uFjbgcbIEum9NH702hSEm1hvufz43YhnCZY,1981 +torch/include/ATen/ops/upsample_bilinear2d_cuda_dispatch.h,sha256=B6c_x9s3ORwGLJcZJWnXML-yQcoQFphfw4yoCx6mDyg,1983 +torch/include/ATen/ops/upsample_bilinear2d_meta.h,sha256=K0sD0T5_eAkgcm-H51JAPdS44dTPfGDvwnQlIl1vqho,718 +torch/include/ATen/ops/upsample_bilinear2d_meta_dispatch.h,sha256=U-uMoCQSDCuaQrrWrS-yeBdnSgeCT0ROoT7lLhkY_lU,1983 +torch/include/ATen/ops/upsample_bilinear2d_native.h,sha256=tQSYhQiO94ZhU_3vbSCWC00i6HkmFxEfGqh0lgbD5z0,1456 +torch/include/ATen/ops/upsample_bilinear2d_ops.h,sha256=NQ0GxNtA4k64PH5JkxwxWNDqOfSAE0nzFbmT_WNFwCQ,3402 +torch/include/ATen/ops/upsample_linear1d.h,sha256=IAQPjQ5Vo3eKHBIQMOr-nW2_-xI5ZINfrwuegmyhR4E,7029 +torch/include/ATen/ops/upsample_linear1d_backward.h,sha256=qlHRfpPxa4vsFBCh_pcn2OzK67eIUD0y8VOMTAYtezM,6791 +torch/include/ATen/ops/upsample_linear1d_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=lIG9-BDHQRJaU_bf4_ZxQ1INRoLp1qxSvtcxngpNMDA,1153 +torch/include/ATen/ops/upsample_linear1d_backward_cpu_dispatch.h,sha256=17fjumW2_OHqTv_Qx12WnC8rjQFd8abVZdzuaJPyHJw,2017 +torch/include/ATen/ops/upsample_linear1d_backward_cuda_dispatch.h,sha256=KAjsdo5wU7x3trJHHCCoHh_a696GG9A0j3l5qXE9tTU,2019 +torch/include/ATen/ops/upsample_linear1d_backward_meta.h,sha256=3U2xK4vuuQhAlNBh8fCNxTQzlWMftX2WK7TkWudbN7w,732 +torch/include/ATen/ops/upsample_linear1d_backward_meta_dispatch.h,sha256=4MoIIhCkz7cNDItJcR2mOZMszdSdYBJSNw9-SVL6Uxs,2019 +torch/include/ATen/ops/upsample_linear1d_backward_native.h,sha256=9A759Ic9YCQlvKNLsM_tVH-j1R-AYzA5RO8KQnK39R8,1123 +torch/include/ATen/ops/upsample_linear1d_backward_ops.h,sha256=GlP10mMiRDI_TjwwFNPpGu0CqZ-A6ObhJItfiZ6LySM,2566 +torch/include/ATen/ops/upsample_linear1d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=uj1_OhWNkfR4grQgYzYQ-YEq_4Zt5zxP2ipDrl8aJ0o,1061 +torch/include/ATen/ops/upsample_linear1d_compositeimplicitautograd_dispatch.h,sha256=VypGnCLrlZF1BUXf-3m2hDi_oL6WLt8ke1eLUckAEj0,1068 +torch/include/ATen/ops/upsample_linear1d_cpu_dispatch.h,sha256=1SPfQQeJp88TJDvYieGl-v5eJJGxweUjYAZn0eoEd-A,1713 +torch/include/ATen/ops/upsample_linear1d_cuda_dispatch.h,sha256=DF6MDi2580W3po6SuQ4kZDejZs0vCJsCowJ62EfgXIU,1715 +torch/include/ATen/ops/upsample_linear1d_meta.h,sha256=H76fv4GDCZxtw9JJ3rgkEsA6o-MzYLX16Mmpr0liRoM,682 +torch/include/ATen/ops/upsample_linear1d_meta_dispatch.h,sha256=dfJnqyEypDnejPTwY13f-DNTSDasMyWm9L58CbSQWys,1715 +torch/include/ATen/ops/upsample_linear1d_native.h,sha256=mqHyrZX6wnd_zcVaKs780JxAsHjfRaCdyz9s1M084Jc,1156 +torch/include/ATen/ops/upsample_linear1d_ops.h,sha256=XtxvkS_iy3IK8tG1PywZPIyDzEw8N-Ul0SbVSEPFduU,3154 +torch/include/ATen/ops/upsample_nearest1d.h,sha256=BUtq7VFIQMSlJlH9E_oPgVtW6nS5LonWvwybCFucc4I,6350 +torch/include/ATen/ops/upsample_nearest1d_backward.h,sha256=bEil7XZEbq11o_Op3V80BL6RqcKhsAAeAzj9UsSw0KM,6282 +torch/include/ATen/ops/upsample_nearest1d_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=qRfl5OhCv8tx1ySn1yBd433bAYSyddVqsKl5_wml0Ns,1115 +torch/include/ATen/ops/upsample_nearest1d_backward_cpu_dispatch.h,sha256=WSACnJb-vmvg6KHmWiOsnkaT0WE_q1LvC6YM_OLW7Gc,1903 +torch/include/ATen/ops/upsample_nearest1d_backward_cuda_dispatch.h,sha256=SxMfIv0Br496ViL8MiFxXWTb8ZyqxtZ8L7NkETt8-nc,1905 +torch/include/ATen/ops/upsample_nearest1d_backward_meta.h,sha256=BFjtzG-UQKxhvn8HeJw11Jca3JRk1U7-AoA25_6lLms,713 +torch/include/ATen/ops/upsample_nearest1d_backward_meta_dispatch.h,sha256=2m30mCNzkay9ylYCKJEVWGQuO5xm2J6jDGryEQDdfQU,1905 +torch/include/ATen/ops/upsample_nearest1d_backward_native.h,sha256=ZLiqbrO7AD3TtygbaxAO7JCws2F8FT5MQ5J_xlyrgDQ,1088 +torch/include/ATen/ops/upsample_nearest1d_backward_ops.h,sha256=VslE5fDYCtYvo38rTPZ3I4fflgDeWNSJZhUK4cRtgeY,2440 +torch/include/ATen/ops/upsample_nearest1d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=HlSfdxXwNTcpIAxiQ7PTT3mxJX0m7Y981z5XYZ9jMKM,1023 +torch/include/ATen/ops/upsample_nearest1d_compositeimplicitautograd_dispatch.h,sha256=a_iVICgN106IiPH2Wr1f22NWP0YSxzLwCBJR66gNmDg,1030 +torch/include/ATen/ops/upsample_nearest1d_cpu_dispatch.h,sha256=fbXyCGwuzgU40iF0sRao-x5hDKe7-dEijQSdD1N6Bcg,1599 +torch/include/ATen/ops/upsample_nearest1d_cuda_dispatch.h,sha256=5_CQGkjvEgUYjoCKbhEMZykY97fxDcWWN2tEgzFmxLI,1601 +torch/include/ATen/ops/upsample_nearest1d_meta.h,sha256=muHkdayUTUq1ri2npMChfSulIKrVpz1RYRvTqYJQyuM,663 +torch/include/ATen/ops/upsample_nearest1d_meta_dispatch.h,sha256=88ZeMXZ7aD1ubSmtp5o4v4nZyO1YcpTqtP4KbOfaYPo,1601 +torch/include/ATen/ops/upsample_nearest1d_native.h,sha256=MBXLhhVHfQy5-tVcLEpRwstlOZuZdrVCIPeCgMSp4LU,1102 +torch/include/ATen/ops/upsample_nearest1d_ops.h,sha256=wMFiHgzmskWcq0XHwtBbkoQx_UeZ917hIrKATSv1I6E,2965 +torch/include/ATen/ops/upsample_nearest2d.h,sha256=gL8v3nE1oJPEug8gJgPK3SZE05IecWcW7trXRX7u0xs,7150 +torch/include/ATen/ops/upsample_nearest2d_backward.h,sha256=U7_uJf1PfHENZkQZYtNJaiTbBLzbs4hS3RUaggRxen8,7082 +torch/include/ATen/ops/upsample_nearest2d_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=leE9qufYWtQdMdSbtxk6m1UCnUzWA7ofa36K8iPSIMo,1209 +torch/include/ATen/ops/upsample_nearest2d_backward_cpu_dispatch.h,sha256=8GPi8moCYpsg2jETrPJ00yRoJnltaF4wnCucqQ_v6cc,2159 +torch/include/ATen/ops/upsample_nearest2d_backward_cuda_dispatch.h,sha256=z2lOVfrUx3gzSFOaRHMVG_mUrlMPzxJXRM4_gdmuh-I,2161 +torch/include/ATen/ops/upsample_nearest2d_backward_meta.h,sha256=CmpiAHZNyAI9ff5jU0hISX2dCIOHEcKt_v2uJBbPje8,747 +torch/include/ATen/ops/upsample_nearest2d_backward_meta_dispatch.h,sha256=t7p5HbwPzji1ivcX5K_Kb1R1h9bRnfBuyKciv3UPuX4,2161 +torch/include/ATen/ops/upsample_nearest2d_backward_native.h,sha256=n9aehZmx0sGLY_RbuVTBkDdqtBuss1fYhgEFzu8ysso,1156 +torch/include/ATen/ops/upsample_nearest2d_backward_ops.h,sha256=pP70uG0S3zXi2R-SbP9oIUzQ7TCKdO-iU0dcELkxiv4,2670 +torch/include/ATen/ops/upsample_nearest2d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=CnDhpUp4l6ExB16z9yR0GOZjyedNAA7s86IF8HffSG4,1117 +torch/include/ATen/ops/upsample_nearest2d_compositeimplicitautograd_dispatch.h,sha256=19PkOH4QForZ-jjiB2P80C4ORloPUfDJwktUmZTtBN4,1030 +torch/include/ATen/ops/upsample_nearest2d_cpu_dispatch.h,sha256=qo-A-i28JpqZnSjZ3eFB9tBZQS3qmMI5zGrOpHyr_ck,1855 +torch/include/ATen/ops/upsample_nearest2d_cuda_dispatch.h,sha256=MlvkOmrfFVhZ87nqDIP93YMC77dTW_n_ScC29vMJbBE,1857 +torch/include/ATen/ops/upsample_nearest2d_meta.h,sha256=oykNrXpu6P0aBMA_yJ5SVTZ4zdLSLP-qtQKyE0pE_8g,697 +torch/include/ATen/ops/upsample_nearest2d_meta_dispatch.h,sha256=IOeFREoVOo025RFyr7fWAL19OKtVddnPNbEQteCFEtM,1857 +torch/include/ATen/ops/upsample_nearest2d_native.h,sha256=Vnhgs1XZrd_cAKtpm5quzQQ72VljaNN6twFItrIac8c,1369 +torch/include/ATen/ops/upsample_nearest2d_ops.h,sha256=ZP3h1mfauImTF3aeXdyQI5paYkwxpUAP5s1iyxTAGiE,3195 +torch/include/ATen/ops/upsample_nearest3d.h,sha256=dJ0Qm1JjrTMiXFOlVzYze21WxvUZA02N-nSOYHg5pxU,7890 +torch/include/ATen/ops/upsample_nearest3d_backward.h,sha256=Fqym5TR92SEE8kllEF-fvSILAr7JSQhkVkahAw7jtNs,7822 +torch/include/ATen/ops/upsample_nearest3d_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=nCbqT-37xhAMPpmhZHXQgjE3M_rzdwR9CAkIFNou_5Y,1299 +torch/include/ATen/ops/upsample_nearest3d_backward_cpu_dispatch.h,sha256=xrSN5xzoZpzN0dz9BSxfHx4oiB_YLdJvJ4UAu4BmvSQ,2403 +torch/include/ATen/ops/upsample_nearest3d_backward_cuda_dispatch.h,sha256=W_uE-G_Uhm248ljj7wkk3dMVtGmTCClEAtAZNVSKCnU,2405 +torch/include/ATen/ops/upsample_nearest3d_backward_meta.h,sha256=MI_NPM5rpvGkqVM0-XBE0ct1-MfZd55ObmW7heJeBoc,779 +torch/include/ATen/ops/upsample_nearest3d_backward_meta_dispatch.h,sha256=LMweuBrYRceSUOzttG2zyKg9yBHhOXyXw6i53ZrxjZI,2405 +torch/include/ATen/ops/upsample_nearest3d_backward_native.h,sha256=KioMDGLh3USrsJigplhs6EXIdmL8BY6-GY1R-rS4nHQ,1220 +torch/include/ATen/ops/upsample_nearest3d_backward_ops.h,sha256=YcaFDH--Y-pVvJ7H0gUb_wPShA1RsW14UBeiFZqg5Q4,2888 +torch/include/ATen/ops/upsample_nearest3d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=3yEXXpcHCFSOzsqQc_78nqd99jSbMhcBrDAUKDSux6c,1207 +torch/include/ATen/ops/upsample_nearest3d_compositeimplicitautograd_dispatch.h,sha256=-Pz-h2lnnfiOf5YRGBRnxHoeXXmc3tz0dp_AOLT9ZMw,1030 +torch/include/ATen/ops/upsample_nearest3d_cpu_dispatch.h,sha256=1yCGzv91EHHcL2kOTWz3_rKvccbOhV7X11SmeJx3FsI,2099 +torch/include/ATen/ops/upsample_nearest3d_cuda_dispatch.h,sha256=9AEbswZUdFnAeFBE2BcxVYT4_RAmztseyDO6wdO7wOg,2101 +torch/include/ATen/ops/upsample_nearest3d_meta.h,sha256=ZCalXidwAXyHTre62UWlhuhtJu7r_d5MHo0QzHBQW6o,729 +torch/include/ATen/ops/upsample_nearest3d_meta_dispatch.h,sha256=FXxzwLKY2fTlggwKhhcUiUwXA3XgbZQO2q1CnyI6PFk,2101 +torch/include/ATen/ops/upsample_nearest3d_native.h,sha256=8grg6mvrtj03Kfw8b0aijo0f0M8o0ihq213hJtScwL8,1478 +torch/include/ATen/ops/upsample_nearest3d_ops.h,sha256=h2OEz2dh6vyXQthub5jr-7P-xK6EL-drmDSD7RWDWYE,3413 +torch/include/ATen/ops/upsample_trilinear3d.h,sha256=VWC0UgQYi63Ci2utl1o6mbDcVapLE_-kW4mDviVUbcs,8692 +torch/include/ATen/ops/upsample_trilinear3d_backward.h,sha256=c450iFA6FBFQpzdoeu2X-NidBzZazNpX836V0eP5QiY,8424 +torch/include/ATen/ops/upsample_trilinear3d_backward_compositeexplicitautogradnonfunctional_dispatch.h,sha256=02QOyOqu6YCzU8pxUtEq5Pp3sNXPeoCOFettyKR5rDk,1343 +torch/include/ATen/ops/upsample_trilinear3d_backward_cpu_dispatch.h,sha256=D1ECtXFbG0cClGveBDJxerDdVpckZa0QE-GKGP7GWTU,2535 +torch/include/ATen/ops/upsample_trilinear3d_backward_cuda_dispatch.h,sha256=gtzZrT2nF3Qd0TsmLDkz_joBxnB1YRvTd3NO5V9ZctM,2537 +torch/include/ATen/ops/upsample_trilinear3d_backward_meta.h,sha256=5luLpvH2JLVe5xLfk-qROpc_1Ye5G16lQQqMLebCk-k,801 +torch/include/ATen/ops/upsample_trilinear3d_backward_meta_dispatch.h,sha256=w5V0FBeoV5SM4TyLmEeN6_C7VXKCJF5trDdLpmz5FQM,2537 +torch/include/ATen/ops/upsample_trilinear3d_backward_native.h,sha256=BCkvFdhTCycS9cABF5r8MJ-gUA0kEUA2ECgqIGogySU,1270 +torch/include/ATen/ops/upsample_trilinear3d_backward_ops.h,sha256=aIfjcerKk2atweE9SN_oNKm7uf74AYpqk-7EWasMYqU,3032 +torch/include/ATen/ops/upsample_trilinear3d_compositeexplicitautogradnonfunctional_dispatch.h,sha256=Fujc3NQo0u8itow2O_93vLczYk5oJNn9hxQ0EPZ3hXU,1251 +torch/include/ATen/ops/upsample_trilinear3d_compositeimplicitautograd_dispatch.h,sha256=AfUc7C3bMFfui6PAQxjTNJn-1XarytwEytnL759r-oo,1074 +torch/include/ATen/ops/upsample_trilinear3d_cpu_dispatch.h,sha256=LXZMZhdKdZh5PgypF2ZB6JrFWGf0CdCyUblVKhnrCq4,2231 +torch/include/ATen/ops/upsample_trilinear3d_cuda_dispatch.h,sha256=3Wfq6uZgA28StQae5YCJHe3UR_naB8gSXDJZQauJ0DU,2233 +torch/include/ATen/ops/upsample_trilinear3d_meta.h,sha256=m3J5mFUYLrOD4GM3pvtcip4Bhy_N-cHhrcsBo5FWV6c,751 +torch/include/ATen/ops/upsample_trilinear3d_meta_dispatch.h,sha256=QpYgWl__8DAMKp1ctf-O59-KybYmPWq17TjPXyU3MMk,2233 +torch/include/ATen/ops/upsample_trilinear3d_native.h,sha256=T_GBJ3vSc8tT1JH1cepy_i3V6kff82Eb4hMlS1Ckqyc,1306 +torch/include/ATen/ops/upsample_trilinear3d_ops.h,sha256=ZDHO4UhFJnXMR2v2BWuiXwyAiO2-zC54S7WyNjGCFkE,3629 +torch/include/ATen/ops/value_selecting_reduction_backward.h,sha256=-FBrH3QTOF2DHjmK7jJzT7qpGCz2Dn1XJFbD3vmmU38,2079 +torch/include/ATen/ops/value_selecting_reduction_backward_compositeimplicitautograd_dispatch.h,sha256=h_iR2Hdmg98W58Uj3b3HlEhI95kZ4s8kNMS4pQoYh8I,1041 +torch/include/ATen/ops/value_selecting_reduction_backward_native.h,sha256=TDp4y6rczs8w5kBsL1sVU22cO1X4sTtiw9O4ilyd35w,604 +torch/include/ATen/ops/value_selecting_reduction_backward_ops.h,sha256=SNGrsqVgNvUQoz2_mwDThgWWArCv5l0sZ-0y6byXoXE,1326 +torch/include/ATen/ops/values.h,sha256=0NJaIUE4zWXU61X08jtanpI6UW8SwC2O1hEQVdL3rD8,491 +torch/include/ATen/ops/values_compositeexplicitautograd_dispatch.h,sha256=wZ0ZxzoPlFmOiTZ36yHmIFaloD1qC_tyx9UrccsHMVs,764 +torch/include/ATen/ops/values_copy.h,sha256=caoVlDdVUVfZbfxoqnO6btkCJhsTuR3zYKOVs44iQz0,1065 +torch/include/ATen/ops/values_copy_compositeexplicitautograd_dispatch.h,sha256=cvPG7K4CH6Ug0zbQbmP947Iybrob5Qvqzqhk1z7cYB0,877 +torch/include/ATen/ops/values_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=OzdOH5gU0sK_qg3oBFTI5y-eNVvxY0oXjmcTDopxckQ,795 +torch/include/ATen/ops/values_copy_native.h,sha256=28eME4D8fKxlUEbSJNaUZQ-UbPjLAa609DJqA89a7pE,575 +torch/include/ATen/ops/values_copy_ops.h,sha256=8OSb5wef5f0U1tYxdbElqI1Wh5zEHIh11qUhZs-TLLA,1620 +torch/include/ATen/ops/values_native.h,sha256=PGfwTyMKi6NfT64k0mfqGM6yerDELdsnOSg3yBH5-gw,682 +torch/include/ATen/ops/values_ops.h,sha256=U5zFwtKHTf3o3nWlGjTD4oEWTEINPz8iN4OSdeBEdjU,973 +torch/include/ATen/ops/vander.h,sha256=CVmZq7W_yFaJNwPpM9U1ka3F7Y5g3OnFafKlPqmHNDk,729 +torch/include/ATen/ops/vander_compositeimplicitautograd_dispatch.h,sha256=QjJ9wwWIRj9Spy0EcKBcLNLOZUWCF-CAD8LaKbQoqws,823 +torch/include/ATen/ops/vander_native.h,sha256=xd1kjc-OizLBkHxUXIyes-XAT0oRsXAv_TdAP_uaSHY,546 +torch/include/ATen/ops/vander_ops.h,sha256=auRt4QN_r_sJP54tX_E_GC9H3FFFHt1U2C3Z5VahU40,1110 +torch/include/ATen/ops/var.h,sha256=N495nxaiHpdQ0e510t_PUHUXAKh-NqDcNo-3ipAEjdM,4835 +torch/include/ATen/ops/var_compositeimplicitautograd_dispatch.h,sha256=WWY7z6M6aLd60KlAJEvHmir8bGXsr128JRRB4OYacgI,2011 +torch/include/ATen/ops/var_cpu_dispatch.h,sha256=V8uov8Z24nb2C1ApoqPN1eS6UokCPJeLFApiloMuBoY,1199 +torch/include/ATen/ops/var_cuda_dispatch.h,sha256=JXPa4Dw6zQYbuDtNQiDBxr2onwyhgpsPRBhgYW3m5FM,1201 +torch/include/ATen/ops/var_mean.h,sha256=PA8mGdbhdW15GIZgMcy52dYVFrSqm3iRfBOTD6QmrdU,3187 +torch/include/ATen/ops/var_mean_compositeexplicitautograd_dispatch.h,sha256=ussN6mR_D7c_7URE48NXRzY5YvuE2QbRWDZfssOiQrQ,1175 +torch/include/ATen/ops/var_mean_compositeimplicitautograd_dispatch.h,sha256=GMYHzjP3ll8JvVfA3LMGa68LUZyozL6kRLNp29lxQG0,1269 +torch/include/ATen/ops/var_mean_cpu_dispatch.h,sha256=zSbOUbmErIvyZEa4a_fq1RRMlhaa7lYSUai71htg8P4,868 +torch/include/ATen/ops/var_mean_cuda_dispatch.h,sha256=5qjl0R9yeXZaoBeY4cuElSU-emWcIFdRYH-B8k8KqtI,870 +torch/include/ATen/ops/var_mean_native.h,sha256=w-oddhfkvsww76kJ8rLIZB-Nt1s-qVtb5X0pi3glshc,1436 +torch/include/ATen/ops/var_mean_ops.h,sha256=0LlNCLmea8RlgnHzyI_jwi0pMFFq1msAGH4FjTiC6Oo,5853 +torch/include/ATen/ops/var_native.h,sha256=-_42muHqbrnHcN7_Uye2ZNOFB7ZgD-PlmwK4DjDKHpg,1637 +torch/include/ATen/ops/var_ops.h,sha256=mlLoqm7d-x6NCKE7b3t89i4azcpMOBeyrerExa4aTOU,7754 +torch/include/ATen/ops/vdot.h,sha256=iqjJsB75EgZRGJH6Gbdzt-cP5VRB5zcM2yISz6PpxcY,1136 +torch/include/ATen/ops/vdot_compositeexplicitautograd_dispatch.h,sha256=ZKCcA9apEkSe06mF5ORCbyv0P6j5S4ENgVwzy7Mmwq8,915 +torch/include/ATen/ops/vdot_cpu_dispatch.h,sha256=tpTH2sLO0-KyP3Ngte3Yy9I0hEdi_7Se6lGJ6rBI3f0,744 +torch/include/ATen/ops/vdot_cuda_dispatch.h,sha256=fuGVsu5H9Fk6zo37k2ikCA95uNMcvMIS2Rtvo25xdoQ,746 +torch/include/ATen/ops/vdot_native.h,sha256=PQ5bCOK764QTlpsbaRM4n0pwjywm2QgczGQddg8DgLg,696 +torch/include/ATen/ops/vdot_ops.h,sha256=FWARoxR-gt9f8y3SJ6ZbBQvhT_0Aygx8zREe01v9yIk,1750 +torch/include/ATen/ops/view.h,sha256=480xgSZ5aJLKFylhcVgAPIP2SRO4_wj-yJNrroMp_-Q,970 +torch/include/ATen/ops/view_as.h,sha256=tKg_taj4QA-2ZUbwR6Pxnt-St2m5YGBKGFItrnmvr34,492 +torch/include/ATen/ops/view_as_complex.h,sha256=ZOv7JGG3zhr82EAp2nqMB41sBPSWchkRLcDZ1VA4sXY,667 +torch/include/ATen/ops/view_as_complex_copy.h,sha256=FOPrOEIX_orkqkbJvPmAXD3DrPph3Z5JFAB4-jRExIU,1155 +torch/include/ATen/ops/view_as_complex_copy_compositeexplicitautograd_dispatch.h,sha256=wFiEAFvEymVv5H_kfmHPg_6N0z_3xANyBVMVNs2e0CQ,895 +torch/include/ATen/ops/view_as_complex_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=_m9Kh4YzfcJAioObWETYd7o-s91GBL-CDkm8sOLmKfE,804 +torch/include/ATen/ops/view_as_complex_copy_native.h,sha256=IftZtmNF3pm9iDqbwQSoje1ytsEDpAHpN0SbhZ_ZuZg,593 +torch/include/ATen/ops/view_as_complex_copy_ops.h,sha256=XH0GcpTr9laktL60-LnRBSBxI5ib3c6zFnlTlM2afck,1674 +torch/include/ATen/ops/view_as_complex_cpu_dispatch.h,sha256=NtJGQ60SXJxFx61GVRv4faG_4N-WyTrPfgR_TOP5fzE,729 +torch/include/ATen/ops/view_as_complex_cuda_dispatch.h,sha256=ev_1isqi35w5x5Ukf6x4YpMWJ0-YFslSiUenneor1Lw,731 +torch/include/ATen/ops/view_as_complex_meta_dispatch.h,sha256=6Y1J87LXDtZeqPkLWcGl_zcFhQ1sr9Tl0k1j_UUjwpE,731 +torch/include/ATen/ops/view_as_complex_native.h,sha256=xMWJA4zDlym-nBxOY8OdKhvEKid0qFseDsVG04TQBiQ,496 +torch/include/ATen/ops/view_as_complex_ops.h,sha256=r6KqNYnGlFsuTaa5AJEGy_XwctitKbrEjTAtSesVSmE,1000 +torch/include/ATen/ops/view_as_compositeimplicitautograd_dispatch.h,sha256=LrQARFU__8RnqvMfrRF-JJSc_WK039Ki2U261eDyFR0,791 +torch/include/ATen/ops/view_as_native.h,sha256=oBE6Ywjr1kPq5gMtTNMx9yDHxk2ZwO9OkaGZ8Mar7R0,514 +torch/include/ATen/ops/view_as_ops.h,sha256=IGFYQdbQJwlplybTosbWpgz5wxPhfhic-XmA_Ra-R3I,1062 +torch/include/ATen/ops/view_as_real.h,sha256=nwLEnHoQAOI9FLiJghn4R_M1QtBMQDxB54p-ZEeD5ek,655 +torch/include/ATen/ops/view_as_real_copy.h,sha256=okVXPMm-0YC2gGTqtPaM9pd8asE0aIUoDXQUi3cUkOo,1125 +torch/include/ATen/ops/view_as_real_copy_compositeexplicitautograd_dispatch.h,sha256=LUR2CsUwZd32YCTbRwoM-6X2M0hLlqSvF7Vbcquib9Q,889 +torch/include/ATen/ops/view_as_real_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=RmDY93B4glkGQ61neiw9Q9Nki7gmthSlTxzVTDdb0HQ,801 +torch/include/ATen/ops/view_as_real_copy_native.h,sha256=cmPQJyw0XxEEC2mnOH0fQGCqX0EmR7Ogyl0cabCMLcU,587 +torch/include/ATen/ops/view_as_real_copy_ops.h,sha256=JrracnourxRUCwgy36bENAwb27NJTKCQ7zJbPcxisNA,1656 +torch/include/ATen/ops/view_as_real_cpu_dispatch.h,sha256=Dql2XNSBOkJ4zVPAVB5WduYxEWIZU4edsVuXRNFRqx8,726 +torch/include/ATen/ops/view_as_real_cuda_dispatch.h,sha256=VPtRv93nAOjecTei4HbGhXQ2UY9jG_018FH0Cwj92-I,728 +torch/include/ATen/ops/view_as_real_meta_dispatch.h,sha256=JoEI_BGzdoNeHnKzGTjl2AsrjAlmDI_kP3YFNGINKgc,728 +torch/include/ATen/ops/view_as_real_native.h,sha256=BN0H9vVumod2DdycyNCIt5JGbUMhZ8Vlmxo_z5KxTD0,493 +torch/include/ATen/ops/view_as_real_ops.h,sha256=BHFyNqooHckpQJivtAdvqpn5JbjpakxoGBaYjGDQo6k,991 +torch/include/ATen/ops/view_compositeexplicitautograd_dispatch.h,sha256=Cpp23JscpJ7BQ2Vc8z46TsDx21aK0HVtrwbzM_FQ-xc,784 +torch/include/ATen/ops/view_copy.h,sha256=nmqqLEhq-SP-eiN9D59xafSo_CZ-ZPK5rbYQQm57iVo,4331 +torch/include/ATen/ops/view_copy_compositeexplicitautograd_dispatch.h,sha256=6CRxBiPOyx_-nd4Ou6BZy3XKqtigTqAb9yBYBOTzg6k,1353 +torch/include/ATen/ops/view_copy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=Ym30vRhIo5vs_6E8hkcAEgstMdKTE1N_Zsyzl44hY-w,984 +torch/include/ATen/ops/view_copy_native.h,sha256=qRNXtqAbYPp67ZVg2A9utPWPsStGF-_Ato49Ugtxu0o,831 +torch/include/ATen/ops/view_copy_ops.h,sha256=Yn-W028rOd8gjl_91xRo5ShqFzlWW4albgbf6sRAbS4,3149 +torch/include/ATen/ops/view_cpu_dispatch.h,sha256=zBKOO38ZDoGx8Oy7Lolpl5pQUJwI56GbjUv1Cef0ppE,825 +torch/include/ATen/ops/view_cuda_dispatch.h,sha256=9ryNyKP12NGA6cRxJ5yIq0n337Xhhr6R-PsvgZh-_Qw,827 +torch/include/ATen/ops/view_meta_dispatch.h,sha256=57oTuaCVEuzW_Nl4WQsIqFsm2TCKCmZVDgkhyh9JcYc,827 +torch/include/ATen/ops/view_native.h,sha256=O2EDSAhANoW19xqwWn9-oe0qQhs-8ss4OosjiPbcAi4,749 +torch/include/ATen/ops/view_ops.h,sha256=TxHgxUp81s03TGJqH_0dLQ522ZnX3gCj0j5CK8FXoBE,1683 +torch/include/ATen/ops/vsplit.h,sha256=4EVm8F9CfuV_lPEdt6wW0sm52kF4BEuOQT3_wJXwfAg,927 +torch/include/ATen/ops/vsplit_compositeimplicitautograd_dispatch.h,sha256=pvbVUDBJs2GmMP05mUqLH55iA3PmkkO5Sf14iDAOiw4,891 +torch/include/ATen/ops/vsplit_native.h,sha256=UjaxjJG3xfDz-qo9G8AKhmz0aqbQsltIlAEcD1IfL7w,614 +torch/include/ATen/ops/vsplit_ops.h,sha256=2ovJ3WrnRm4tPROybiNxboFKk2rV_bNixjbCqQDkxvI,1785 +torch/include/ATen/ops/vstack.h,sha256=1fLosaw4XXd7otGrofatzXSe5UdDdMzOSF3_87_BsyU,1036 +torch/include/ATen/ops/vstack_compositeimplicitautograd_dispatch.h,sha256=v0mm6a8MrJYi8e0ULYKziiEdQUdv2P7kvmgo6cFoNaI,918 +torch/include/ATen/ops/vstack_native.h,sha256=eDxdB0xyzhPtHo1umQRJiXQFE6TZVHMI7oggLBa2SxA,563 +torch/include/ATen/ops/vstack_ops.h,sha256=xnK4IFZ61C4cOkWSknncTuWd9z0XQE95_Y8_8QCVPBE,1588 +torch/include/ATen/ops/where.h,sha256=YFTbDdC_QFCBF9ggdDLI3RTFs9otq8fKIq3eyjCDrMQ,2291 +torch/include/ATen/ops/where_compositeimplicitautograd_dispatch.h,sha256=9c2jv_00MuqzYigsZrwDot2RsBmy_YKMVBIBCF_8OJU,1110 +torch/include/ATen/ops/where_cpu_dispatch.h,sha256=UyT7I7dXC067B8Qihp-mnUviKnIOIGmkN8HxLhkqtOQ,1042 +torch/include/ATen/ops/where_cuda_dispatch.h,sha256=3VoIl5JyvqVZAbuhq2D5dUGQ6287K2I5DHblvSByHqc,1044 +torch/include/ATen/ops/where_native.h,sha256=iJ-wUcWz7DDaHquhUZSLKJGV82CKlTqCJp0mSHfENqw,1080 +torch/include/ATen/ops/where_ops.h,sha256=rz0uU3wCfROL-Qs24dm4JtI4ue__5usEFr0NO2bj5_M,4802 +torch/include/ATen/ops/xlogy.h,sha256=PHT66Ug1HB_glWJcFSqNmdPlCpHeZ4iu2auiuLTS5fc,3052 +torch/include/ATen/ops/xlogy_compositeexplicitautograd_dispatch.h,sha256=aCndbKpFqyvidjXsftZOaQtqbVasfDgvH4TfNRNbqEA,1358 +torch/include/ATen/ops/xlogy_compositeexplicitautogradnonfunctional_dispatch.h,sha256=9469MOB2sbfC6ZX6-98d0VKBKAHUBeIijBe2x3X2YrA,891 +torch/include/ATen/ops/xlogy_cpu_dispatch.h,sha256=a_4jjJPvRKe8W58ffFF6X9jcc4Izlg3RiYDs6w9Kf_E,1028 +torch/include/ATen/ops/xlogy_cuda_dispatch.h,sha256=it3-VIwe08mGOYunpBmQqrR7u_WQDSdYsTKCXAz6NGY,1030 +torch/include/ATen/ops/xlogy_meta.h,sha256=CV63DfqS46SWVOJBpUX_x8kA3J5yevjQ3r36GBdVz88,618 +torch/include/ATen/ops/xlogy_meta_dispatch.h,sha256=1k5c4CPLwmdU2dMFGWZYNQf7JqHMG8L-Sp0OLZ6aTRE,1030 +torch/include/ATen/ops/xlogy_native.h,sha256=iorhhDyX76piDm-qPUmAh1c3Px4Ky_SEuyV7iWmjlZQ,1077 +torch/include/ATen/ops/xlogy_ops.h,sha256=fEtPUvfxnhSh9hWF6O58qtcX_eOjvMAuBDxOyHUrtvw,5868 +torch/include/ATen/ops/xor.h,sha256=shulnJnmGsK-G1RCdp1XeX193tstlTpKWUd_LKP0I8E,885 +torch/include/ATen/ops/xor_compositeimplicitautograd_dispatch.h,sha256=llZtzjLJvEQQuCrgVU0mvjT_ZGe8lEWekI2dEwYorgY,1028 +torch/include/ATen/ops/xor_native.h,sha256=m7ZuqQBFicUSxCCC0LPfEyaVhDgbcdSLH9ZT0IflfgU,751 +torch/include/ATen/ops/xor_ops.h,sha256=S3yBeGnvLlVRvcHTeM5xLAEQduRjaPaK4-lH65JYg1s,3000 +torch/include/ATen/ops/zero.h,sha256=eVHi-Q1b_83J0YQTXRABN-J3hD-8vp1MuXrYKvAVK-w,1131 +torch/include/ATen/ops/zero_compositeexplicitautograd_dispatch.h,sha256=akQ1gLLIEeRjNWM6221-5HpQsE-FtekFlEkXLuNsMus,915 +torch/include/ATen/ops/zero_cpu_dispatch.h,sha256=ZrrM_UT_lg_XCh850CD4-HzzJ4joXroYO0MabtRXyuc,715 +torch/include/ATen/ops/zero_cuda_dispatch.h,sha256=s35FQV1MR_XSkax4X3GYTc6b7gKF4zRX_RXJCmloDcw,717 +torch/include/ATen/ops/zero_meta_dispatch.h,sha256=-QLfASKw9qhs_Yo9z5PlsI_3UwxT8qf6VS1JEWJelA0,717 +torch/include/ATen/ops/zero_native.h,sha256=dUFcqlv8d9MWOZ15jyE7lK1pys5kOJy3A--79uD-w6Q,892 +torch/include/ATen/ops/zero_ops.h,sha256=-N_u-_aA5E2xKMDB8AqNJsk5jxzhVzjTef6jYClYy-g,2104 +torch/include/ATen/ops/zeros.h,sha256=l1aucrSf14GE_L6pBQNHZ5i-eQgrDM62SvacME8rUGk,6837 +torch/include/ATen/ops/zeros_compositeexplicitautograd_dispatch.h,sha256=ce-_T5dwq_TJIA7LfnRr5AyoEPApsuwvh9kEhmWoJhc,2154 +torch/include/ATen/ops/zeros_like.h,sha256=YInaVBzl_fE2FjmAPQpGP2wXFvLMSAKtHkae-dyZbgk,2184 +torch/include/ATen/ops/zeros_like_compositeexplicitautograd_dispatch.h,sha256=rzhDz5eJdXTvO0JeVc8dnBHiyDxG0fU-kEBR03vr-xk,1372 +torch/include/ATen/ops/zeros_like_compositeimplicitautogradnestedtensor_dispatch.h,sha256=RYelRXQ44vk9OCRVf1vDw-eJcmcVcG5VoEeRw06cB4w,1124 +torch/include/ATen/ops/zeros_like_native.h,sha256=AacHhs4JMCyT_xk8lSQqJ-2qT8kwTYogsqBshUY2fYk,829 +torch/include/ATen/ops/zeros_like_ops.h,sha256=uvX6TJPjQpj3no8RaJOb4-0xAnjscBzN4FKml83XYn0,2408 +torch/include/ATen/ops/zeros_native.h,sha256=MD06oICFHDeallX9Kh39ZyHiG_dLctl_-CiQ7Wx8RBo,1153 +torch/include/ATen/ops/zeros_ops.h,sha256=3rImnDKafclHOGXr2kUqCU4aOWuK9Yy1cz5E7mjwsBw,3955 +torch/include/ATen/quantized/QTensorImpl.h,sha256=O-XcKul65B9Ql8eeA4gXlJvz4IStdMkqTNzfefTReRU,4009 +torch/include/ATen/quantized/Quantizer.h,sha256=X6j4TQoXgD0l-o5rrLNOz7ilIjXleXf7sY_HazqgToA,9232 +torch/include/ATen/record_function.h,sha256=A5XVPr1s0gsoULo9XyouZs-CZqJyUCynUm5BwqUstRE,22427 +torch/include/THC/THCAtomics.cuh,sha256=sbRzB6GvRcYIN-1cCMaM0h-ig8M5tmqMmy-NfmojNfs,118 +torch/include/THC/THCDeviceUtils.cuh,sha256=hkOQh_VmHYP8Ir9HM5Q7oenfTLrTFygGFkGcnmcP06E,78 +torch/include/c10/core/Allocator.h,sha256=KXwDg4v1dWn09Gc-HTAoH1sECeulz8L_cZwyPGJFrnc,9201 +torch/include/c10/core/AutogradState.h,sha256=COFnIXarRjxRmCxtEt3TVfdUQ1ETXydGBE233RhEme4,1591 +torch/include/c10/core/Backend.h,sha256=HH4Mp_VZMd2rt-yin7E-IRhgSckEXGI2tyfGBNtD4JE,10056 +torch/include/c10/core/CPUAllocator.h,sha256=EvoXZ80_qIJYiU0njWLNfHmMX1M4ZfNZHwCjkoVXsa4,1638 +torch/include/c10/core/CompileTimeFunctionPointer.h,sha256=3zrsQ8KbnIaowCLNdL76M0ujWlwqOdD3pjxX7buzbAI,1677 +torch/include/c10/core/ConstantSymNodeImpl.h,sha256=fyx5BYjq3DOF3miGrlRT167JO4nBPI0yCJCMYX18Kuc,2709 +torch/include/c10/core/Contiguity.h,sha256=yZ0tNJXoAcR5e3muQiUFyrXGI4IYCzbveMP9VYydLZs,3089 +torch/include/c10/core/CopyBytes.h,sha256=wrL03lmNPavQpp9VLLrc-0xrrQwZsfqaUjKIx81G5CM,1229 +torch/include/c10/core/DefaultDtype.h,sha256=jA8dnRLdn4aC4enYeb1YiOXuQCzgQtQHFfHegFsmWtM,394 +torch/include/c10/core/DefaultTensorOptions.h,sha256=_gFkuObBG054OQXnzcLVIDV3KCiXfRWCc6vPFr5TX_o,1032 +torch/include/c10/core/Device.h,sha256=IyNlGFfDnDyfHSZhgtW_zb_sh-_bqeD3ziNLUithNY8,6873 +torch/include/c10/core/DeviceArray.h,sha256=4L2YiELLwo1ktbXd3Fc3JhR3XPDrkcGgSNXiowAe4l0,595 +torch/include/c10/core/DeviceGuard.h,sha256=F40r9WaaP7ZAzomPsQ6yAARLSPMkVdALLllQHbv4NJ8,7554 +torch/include/c10/core/DeviceType.h,sha256=s-1KtKX6Lv6nw0TCRTNyVx6uupYapkpn5jh1d5d-TQc,4304 +torch/include/c10/core/DispatchKey.h,sha256=Nw_TsOrJUALr1FwrS-WZv71FDkiVr5SsNoNwC7kJo0E,31989 +torch/include/c10/core/DispatchKeySet.h,sha256=nfInQuoQ7keMbX7TcWRTGPnyRUoTneCx49sAk-zClo8,40230 +torch/include/c10/core/DynamicCast.h,sha256=F3ClUw_mYgdfENrYw-qsPe6MTVCAqmMyYNQL4_7571o,4192 +torch/include/c10/core/Event.h,sha256=JMJlT5__twXuXjPfX8NPCOSmdNuM0K5HRehWiHIwCqY,4098 +torch/include/c10/core/GeneratorImpl.h,sha256=er6N8YNGt8ODMAOzDh1lhCSpEkqUzaDkK-1NVBIUeS8,3699 +torch/include/c10/core/GradMode.h,sha256=ojF7GFosLf9vySFUZqxMDP6r_iTIsSqx9Uu4Q5F_eqE,1253 +torch/include/c10/core/InferenceMode.h,sha256=YEpmkgXhJDRDzEm6JYf0lVMqKCjUdahoWhWeq2OMIog,3487 +torch/include/c10/core/Layout.h,sha256=isKXJ4qPX_bVDlG6jBRmHnQ-nMTCtiN5F3Co_b8gAgs,1788 +torch/include/c10/core/MemoryFormat.h,sha256=ApQHkHpO-DOqd84dYScJih1rNA4dABfQyoIIjRcCmPA,9300 +torch/include/c10/core/OptionalRef.h,sha256=hWjNEDGGMt_kVVqsGhriRs1930q0J1b1fxbM3A8QK1g,521 +torch/include/c10/core/PyHandleCache.h,sha256=xnANiN5ZgbTOpTAvTlzHU05kCbUjxY_SYLhLQVsVoFc,3076 +torch/include/c10/core/QEngine.h,sha256=L7mfPTPf01pkEt75E7f05inX5LxckVwflr6bEp_CzX0,1040 +torch/include/c10/core/QScheme.h,sha256=dLGPySAA3HZChbJgec0_6UuRsNPFgWJt71ccGbysn_w,1562 +torch/include/c10/core/RefcountedDeleter.h,sha256=MeRFtM9rlb8JnbotVnM50F0I4155q4BZim5eHEvU8vY,2192 +torch/include/c10/core/SafePyObject.h,sha256=5wwNqc6LASaYtPM1MXrJILRMoDHSMDhUllzdqydRdio,2502 +torch/include/c10/core/Scalar.h,sha256=OBX5Gcd1xkoRYw3Q7OpAq-7elpZ5zFIxu4kuc2XTaG8,10888 +torch/include/c10/core/ScalarType.h,sha256=Dop9XYb4bwHw1poBDEV9iAXT0NHjCohO-QrPxmAmmlM,28105 +torch/include/c10/core/ScalarTypeToTypeMeta.h,sha256=0k472L8chpKjZCZGC0iVzPVGyfDYoCKwsrsqU0F_DsU,1396 +torch/include/c10/core/SingletonSymNodeImpl.h,sha256=ERJ7ym5fRmEhGMj1DFFuTx7PFAJbVilGKbo-9FR5da4,5787 +torch/include/c10/core/Storage.h,sha256=r31p1NuONTO1ba9UnTMLj7MfXqvmkLDh8FOnC9Cci5w,6764 +torch/include/c10/core/StorageImpl.h,sha256=E_1LnhcyHnSaxE25LBp_xsCTyg6R0AgInh7zH5PEfEI,6798 +torch/include/c10/core/Stream.h,sha256=2kGDmWmlPPScuSKR1BJMhwRi8eiGDu-AYNmIgPScBvg,6190 +torch/include/c10/core/StreamGuard.h,sha256=l7AqQyFr9jiXswmtTzQrIVIueLzgvPzZTAvZZtFhd2E,6314 +torch/include/c10/core/SymBool.h,sha256=K3dl5GdSpmIIO8iUngUbalNIWeaCh348cyeKjwLZ8Yo,2201 +torch/include/c10/core/SymFloat.h,sha256=quzUV7M3FnIARc20EjkqvLkNvu7SDk8d4vzwPhL3ATU,3175 +torch/include/c10/core/SymInt.h,sha256=xz01RpQEnAGJFQ8aw2a5X5f8_wBG13ehawa_v8WI8xA,12746 +torch/include/c10/core/SymIntArrayRef.h,sha256=xQ4csrKhx8WXvHsC9RqJBaik-uciHmvWz8KT3R5wdpA,2137 +torch/include/c10/core/SymNodeImpl.h,sha256=_zEyKu0GDR5uPnaYtMOmF41oTs5ArC1OavIcA4JT6ik,5598 +torch/include/c10/core/SymbolicShapeMeta.h,sha256=Bn3AyLm-Nb1ZhIblES8j45Qff0SsRi6aZrdPQL9DbNs,7015 +torch/include/c10/core/TensorImpl.h,sha256=mh0g-54mAABOcJC6QFg74F_CNkGxQeMqvQhlMMCdae4,113635 +torch/include/c10/core/TensorOptions.h,sha256=dLOlOPwWBpRlP18ePA_EvsLMOs1MGH0Eg5AaW3flc6I,26538 +torch/include/c10/core/UndefinedTensorImpl.h,sha256=ekGNEaXP5GcvEplltkmbSmEWNPHj6j69kmEaGGVYhts,964 +torch/include/c10/core/WrapDimMinimal.h,sha256=m1fftQKMgaFUohYfSaI604ShmqPomY5UMGKe9jheZjg,1260 +torch/include/c10/core/alignment.h,sha256=-kFEn3_WtX3GHpvvMsllKyS2nCYoz0xDpOnPTjKf6m0,543 +torch/include/c10/core/impl/DeviceGuardImplInterface.h,sha256=XhuHPe-2FLI7Ovpiej4mbqQyWZQyb4yS3SqcHV1VTso,12554 +torch/include/c10/core/impl/FakeGuardImpl.h,sha256=Lr2pJM6Y0H0jcrUGdzIgTtk9VxDUomCbufS8dR0JqBc,3160 +torch/include/c10/core/impl/GPUTrace.h,sha256=ClLD59VWyNLhskCcy4lzhDvAMh5xd4JKcWDhpwxPgB4,889 +torch/include/c10/core/impl/HermeticPyObjectTLS.h,sha256=QDjHU-SSHnpZ56NJonU3uIpYQBxFWGa401A46I5vXVo,2471 +torch/include/c10/core/impl/InlineDeviceGuard.h,sha256=CpIeJqsHbf9GVMOUuqw28sB-RoPMlxULqU55IYWPHhs,15715 +torch/include/c10/core/impl/InlineEvent.h,sha256=6RaEg-JCNgmJRDjWlW1o_SXaiTfN8VUuwHc174ADHpk,2930 +torch/include/c10/core/impl/InlineStreamGuard.h,sha256=lVaGx4RSE9wUtQWyQQUjtlBUB6H5n5FtkIhTjMLngpo,9629 +torch/include/c10/core/impl/LocalDispatchKeySet.h,sha256=yKlgvv-uMKkKDKo4X_H22N04VpkOOrPoupMa9j4--9Y,6255 +torch/include/c10/core/impl/PyInterpreter.h,sha256=mnAgGAzZwcc21gOodEpo2O8f1q2ySSTxGe-eIxIdN98,10746 +torch/include/c10/core/impl/PyObjectSlot.h,sha256=bs7Y6hmLV1WbnyM7Bgdpf-vmlTT7Z8nnoHb5UkjotY8,8223 +torch/include/c10/core/impl/PythonDispatcherTLS.h,sha256=2XrJn5i1qznx0hbocVExWmUlYaSyrJ3tQ9AiUK78npc,574 +torch/include/c10/core/impl/SizesAndStrides.h,sha256=9Cvay9xNKxDnGJuEv7F3H5ALgiyS7u4sIumsVNT6-xI,7934 +torch/include/c10/core/impl/TorchDispatchModeTLS.h,sha256=XtE19Fhn0_Rzn0rbCd7tEjC3ScTh75pxfSBbWGsMWMs,2109 +torch/include/c10/core/impl/VirtualGuardImpl.h,sha256=4hq5OXiCog2BZl4kEoddOhc04-_J3bkQAZ7VP4o-ivo,2785 +torch/include/c10/core/impl/alloc_cpu.h,sha256=r726N5hIEezpRC-cdGuSJJ7FD1wtLvhKvVS8JoQns1A,178 +torch/include/c10/core/impl/cow/COW.h,sha256=GuvRhyQTUXwXhYvVcI_tigSZeh2COgHGOgFfk4hs4AE,921 +torch/include/c10/core/impl/cow/COWDeleter.h,sha256=xZ1odJVNmSNpMoPs5yAFPus1ajeZ1MBcvITs6Aw9w-0,2098 +torch/include/c10/core/thread_pool.h,sha256=vcrnjrv2pOx6Vvsa_De1VMT8INYlEJAt0rE70g8ItFw,2914 +torch/include/c10/cuda/CUDAAlgorithm.h,sha256=pUi84sYDdCPQxSTBlnpR_Q-TZkrww8UlE7q8fzCdzfc,1066 +torch/include/c10/cuda/CUDAAllocatorConfig.h,sha256=GkaICht7Ac83MYsQ0WiMH7p190IAoxCztkq_3KfVFQA,3536 +torch/include/c10/cuda/CUDACachingAllocator.h,sha256=1AI_sBviA6Y0A0B_gfh-Tde83NT9J3Sv_cdpp1SKYgQ,14246 +torch/include/c10/cuda/CUDADeviceAssertion.h,sha256=3yrF9ZJwUkuu_J-jRNxhsDm_AhusqelOoAsmhuRayHM,4096 +torch/include/c10/cuda/CUDADeviceAssertionHost.h,sha256=wPWzR6ziopdBD_A392lXx9R2GpNg9itDxLLDvDerdzU,6394 +torch/include/c10/cuda/CUDAException.h,sha256=B2_CwPi4AjLxekyz55oLzWCh-JtDlRy6o1KigUAGnEM,4577 +torch/include/c10/cuda/CUDAFunctions.h,sha256=SNX-oVugNUeuaIhQblhcyxELA3O1vCGjsFsizct9zqk,3856 +torch/include/c10/cuda/CUDAGraphsC10Utils.h,sha256=XR4gD_v12fhxx8Aue3NcqnmKkkI-pzBgmOA5wp950bQ,2979 +torch/include/c10/cuda/CUDAGuard.h,sha256=6i2tq36RIhHr1i7sG8DcWcyH_NSvFgEKOYmkTrUC2JY,11212 +torch/include/c10/cuda/CUDAMacros.h,sha256=Gc1P3bX9spjBIL-ISFnrloBmVTih87u0526elCrMnVI,1193 +torch/include/c10/cuda/CUDAMathCompat.h,sha256=oVH_Cv3UMBAksoAkVZfvApSpU0h81TvdJSKbOsjtmHk,3603 +torch/include/c10/cuda/CUDAMiscFunctions.h,sha256=5qqgeiNymN_yoqIRrOhTtmSSqMuiVJJghGbHlPxg-gA,331 +torch/include/c10/cuda/CUDAStream.h,sha256=w2FGEezyRaKa-yqV117aPdpNPn9D5HERpvSmlDyvLas,9692 +torch/include/c10/cuda/driver_api.h,sha256=HbBYLnVYuy8dRF5vpHmhpknAlq7hgSmTDQ6mQZUjwbo,1886 +torch/include/c10/cuda/impl/CUDAGuardImpl.h,sha256=Wm7T75KJ8uFl_e62Q-zZ_9NQI4MphvfR5PEKHUh5PGg,6831 +torch/include/c10/cuda/impl/CUDATest.h,sha256=vUVyh_9SbIZnJadMOGS4I-G0p5z4DgZdqw4BsRI8abM,175 +torch/include/c10/cuda/impl/cuda_cmake_macros.h,sha256=5SZTOQCUZPH9z5lM3IUfEXcEt6BdeTLUt-TeEEX0PPU,194 +torch/include/c10/macros/Export.h,sha256=J8t_SAcG8cijbeHg1PY0YGvbjqKU6gzZPsqZuwzrzw0,5684 +torch/include/c10/macros/Macros.h,sha256=f04ucbdSrlgrCSecpxx7hm4T7mv5i51JBLKz8KMJnaE,20080 +torch/include/c10/macros/cmake_macros.h,sha256=VHySeoBhgBgNh01VyiCoWmoW8nTLITV7m5G7MyYW4dU,437 +torch/include/c10/util/AlignOf.h,sha256=uLJdBulcHhKY37YV7bIRmGbG33ndHREoZ-F8wuuBMOs,4844 +torch/include/c10/util/ApproximateClock.h,sha256=BLyBgItRRxIi2ejLo4U0UtJBHSIXLv-BwFWfHfG1z4o,3593 +torch/include/c10/util/ArrayRef.h,sha256=sn36Trzwkks2W9IDNxFaVJq7dqIoZLITpdi4xx474R0,10643 +torch/include/c10/util/BFloat16-inl.h,sha256=_26TxFZP11VYfd4o7TxDFFZRqNPQHfGFZaAiMQVh5Y8,10329 +torch/include/c10/util/BFloat16-math.h,sha256=cebGf8FT_MWvRRUm48bi97RJ29EnI7DFLp6Wkhi45pA,8043 +torch/include/c10/util/BFloat16.h,sha256=cJZeEDc1FYkGxgq2hjgg4USBtXHEyRr4I-5sIfw_gtc,2863 +torch/include/c10/util/Backtrace.h,sha256=sbWyABFklbXFHnKCXJd9qTDJwZlw0RaJWCimSGxh4Uo,364 +torch/include/c10/util/Bitset.h,sha256=nwnHyt7Glykuvt8KW_NbbASHhnOApyyCQhC-Akmjx1E,3435 +torch/include/c10/util/C++17.h,sha256=9OR7qhnZhboOa6CbHb_VYjvnFWnXSD-UYCb87XIAJ6E,7000 +torch/include/c10/util/CallOnce.h,sha256=etdGYAbD-WFbAAhw-4mF4jxv3gADZHQ5nwENrHaxaik,1924 +torch/include/c10/util/ConstexprCrc.h,sha256=UzMC_1kyJT-bnaYkyBtYwXeUdxFB41WKYBSOqjGaDPM,6633 +torch/include/c10/util/DeadlockDetection.h,sha256=GrLhm5WrwHP8U9I96zn7OVn2r9PxspEyVCOsyHfBLhg,1920 +torch/include/c10/util/Deprecated.h,sha256=tyNcwEnjhdHs3LbgKssdAQqInoDJXNhgcSg1z2sj3nc,3579 +torch/include/c10/util/DimVector.h,sha256=1GsGBYUYRmqDug9PHA55R6l-2LcZv7kmC9NVUavqgnc,425 +torch/include/c10/util/Exception.h,sha256=gL3MlqDllxOgzCMfZY-Sf5Jd2GBJN4uh5kb7woy9Y0k,27282 +torch/include/c10/util/ExclusivelyOwned.h,sha256=iXCfnTtPAcdBnHFToKhWXZIs2BR4SoOscgyqRFSJLG4,4494 +torch/include/c10/util/ExclusivelyOwnedTensorTraits.h,sha256=hUVUnmZ9D6sZsO_Wmyw8Y7BT5gX47RUFQ3CP1YTZhh8,2152 +torch/include/c10/util/FbcodeMaps.h,sha256=8vAkfHp4na6an2L9cXNB45k1POA9sLEkv5QZDcC3eHY,728 +torch/include/c10/util/Flags.h,sha256=zj_-hgXZGkLEdtBDU6CdyZo-U9Fk0W6WC9LIo-nNbSM,10054 +torch/include/c10/util/Float8_e4m3fn-inl.h,sha256=VN1W6kCeSNxYXdvXLC6LovI7hQ1Ct6MmPOoYXt0KAaY,8566 +torch/include/c10/util/Float8_e4m3fn.h,sha256=_JDkymBeR0nhcDQDJiAf4-OHLqdvyQbeYd5pHQuBINM,8321 +torch/include/c10/util/Float8_e4m3fnuz-inl.h,sha256=rMAqJ_HoPGlqZrd8XdTY9iA4yTdDtUxxPmhA8LgYsFE,2905 +torch/include/c10/util/Float8_e4m3fnuz.h,sha256=2in5r0_6Cd_gt4OgqnAuY9cz1Rpt-ZHXJ4SwHMSaURI,4372 +torch/include/c10/util/Float8_e5m2-inl.h,sha256=-1wvPwDoSMCo8bYdiWpclOL8zGHNzf6MDgst0Orprks,8533 +torch/include/c10/util/Float8_e5m2.h,sha256=dvzlXUlMyzATyOb0OovvpEFOLb5HGn04QCcPJiJHVDI,4268 +torch/include/c10/util/Float8_e5m2fnuz-inl.h,sha256=s2u6s-cTYCMez60-XEuS6aF0cOydCeg3DZ8Jy2rPTfA,2788 +torch/include/c10/util/Float8_e5m2fnuz.h,sha256=oVMLm3PYPmbXVCKQo8YndA70731Zn59Ao9ET1d7vPVI,4364 +torch/include/c10/util/FunctionRef.h,sha256=F0MrulZx2U1Z-D7BI-NjTO6Z44fvFPHvOx0a__2uHIA,2295 +torch/include/c10/util/Half-inl.h,sha256=8j-YwH1SYUuoZWssrNnOVy3TIENXEXFwp9ba1-IzdPY,9801 +torch/include/c10/util/Half.h,sha256=LXC_tclByIoF_Y1NvMWMF7CmkIISZwiCDoMXN6oIbK4,19437 +torch/include/c10/util/IdWrapper.h,sha256=J1yv7jLSKYd9nwK945jgOo-hz96awIQKyoksVSbnTvw,2367 +torch/include/c10/util/LeftRight.h,sha256=maw1A2eL8YO3st4F6tG2anHCPpWFJD5TTi42FYq5sBE,7157 +torch/include/c10/util/Load.h,sha256=onxMgIHtTe1Q8bbmT8tx7miGGdpBjTG9o8B-WF7s38w,904 +torch/include/c10/util/Logging.h,sha256=Xn1jRiTFo3k6EUocrUBQMQUtbCugUKx_NgObJaF4mgw,14009 +torch/include/c10/util/MathConstants.h,sha256=gyZaVPY6yUN2V2c1pdAkjtXy6UpD51eDmDixsacR_uU,3690 +torch/include/c10/util/MaybeOwned.h,sha256=K0MjE1HE8WuewJ5LIiht9SMpfhzaKCtPFMKGe9Dq-Y0,7061 +torch/include/c10/util/Metaprogramming.h,sha256=gloxW5-vhxXuklMpridYvn2ukYNmU14anAPRbKMWljg,7009 +torch/include/c10/util/Optional.h,sha256=-ppdRO6MguGS_wpp-N3kMSt-mnKBZTkpBuIS87DB9ZU,1583 +torch/include/c10/util/OptionalArrayRef.h,sha256=ZtNCJxRHd4fjy1PU6xHvDeQqH4ae07bWiOhSNnlq6ck,6852 +torch/include/c10/util/Registry.h,sha256=5MD8vi5gyZhXzuOlSlock7ht9R4m9MIGjsd1d89a_9k,13166 +torch/include/c10/util/ScopeExit.h,sha256=NbO4b75vspmITS6BBzAbKeIlMQSYJ8AVQjwWzfm3t4Q,1345 +torch/include/c10/util/SmallBuffer.h,sha256=yiYpZxBn5_39WLEY1gz7W-TGDFO8yrH99p_w1B-sQj0,1745 +torch/include/c10/util/SmallVector.h,sha256=vpcMJyEoEs-_0r83OxvUbqgrmwrzOrmZVDqN2oWjqWk,49346 +torch/include/c10/util/StringUtil.h,sha256=BHzR3rKH2Tq_LCYmjn6U0S_Y8vMCXIQe1DY3HEWGoT4,4710 +torch/include/c10/util/Synchronized.h,sha256=oRnaz00N8HoimvVJpwNaK89mBNHcNqXbVJnPzF86IEs,1946 +torch/include/c10/util/ThreadLocal.h,sha256=wW74FnH_mjIDvOKvzr6HTvxsPLRBI8HwWMuPcDFGsHk,3883 +torch/include/c10/util/ThreadLocalDebugInfo.h,sha256=1lhvcIt38enrYb7fc5cmqtZs2fIh4DFJ_8tYVQibHsk,2547 +torch/include/c10/util/Type.h,sha256=-GVwlf-O6CsPhLC_t9_t84apjpiCvwY7LlXpfp51OkY,646 +torch/include/c10/util/TypeCast.h,sha256=2EtdA8udsVpBNZb0W-IIOs1Vs6Cn8P2A-sbwNTFIzgc,5339 +torch/include/c10/util/TypeIndex.h,sha256=3q7pkLlOTDBfIQA8glJscR9jfOHZcLuuGxtFfHejt8Y,6034 +torch/include/c10/util/TypeList.h,sha256=2X-LAhhcU1RGr_MXc2g6eLj133WoUT1MnkPLtg0_h0A,16933 +torch/include/c10/util/TypeSafeSignMath.h,sha256=ERjWczEb2maHR8bZM5BpfShJJFem3ExsqyUcrtt7qYk,4437 +torch/include/c10/util/TypeTraits.h,sha256=5jtkl4UdAjZnAoO7pfXie3mgDW382h_F3e89-pYaj4Y,5346 +torch/include/c10/util/Unicode.h,sha256=hCDwsMEcAI5h6nD8F3ZxJbO4M4lq1pCRpwj6h3H0DvE,295 +torch/include/c10/util/UniqueVoidPtr.h,sha256=RRM7LcWykPbKjtFKbYIWVbBuPORbye2ESE0ffbFa_1c,4115 +torch/include/c10/util/Unroll.h,sha256=2KEwe8ujcYRas1BP5ebSkDVY-piG2RS8J--lmcpKrjE,667 +torch/include/c10/util/accumulate.h,sha256=MS_ZHFJ-uYuuinnldoLJxm5N1w3bVTF55f5buixrJdE,4209 +torch/include/c10/util/bit_cast.h,sha256=pCaiZ6ntICNooH8ZyOQmGM0MlgH4Svpt_lcQhWuDlGE,836 +torch/include/c10/util/bits.h,sha256=5vkKgffFbfdboQtD9E4fDsMkxeGlMymsJuRwS_ChH-k,1449 +torch/include/c10/util/complex.h,sha256=QbDb6COLAyha4sJpWCGxxqVWnNjQ4jYqjSGnO6Kg9BA,18019 +torch/include/c10/util/complex_math.h,sha256=qSphWbt0FPzv9mFkiGl0eBRqkwHLUUQi4jKl2iCDLxE,12534 +torch/include/c10/util/complex_utils.h,sha256=647X9XNovef-gDB7_p-Q7TskQ-boGgW5MedmVJtp58s,1077 +torch/include/c10/util/copysign.h,sha256=ZWRR6bH1Sr250rgLBvBX0mvy5LOkXaIQ4c55jQAI3JI,866 +torch/include/c10/util/either.h,sha256=WLzRO6xO11ZbJ4JWtZ8xlJ7Z_Wjh6NxTYd0XH27u7Mg,6432 +torch/include/c10/util/env.h,sha256=sh0NO4cMtzogcJOkAXKs6_TSbZh0GZc5Dk-bPdjbfcs,956 +torch/include/c10/util/flat_hash_map.h,sha256=rGHzbBYz-w_Z7jlPaIIsjqGht2qQa7y0Knioct1Rqe4,62128 +torch/include/c10/util/floating_point_utils.h,sha256=RXn2nkByoHw7BcbN34WTiOJloLlZjR302EVN4xbsL_E,778 +torch/include/c10/util/generic_math.h,sha256=XqqHHGp2P3lImBb_OZ9SehKmHJK1kyF4VcVzq7P89hk,1830 +torch/include/c10/util/hash.h,sha256=1kcqL358lEAsm5BQtQHf3eWiQJvLkvOf3YZRBhLbLo8,10602 +torch/include/c10/util/in_place.h,sha256=AugiaWcaDpoawZfSUNtGBl4UU1dQo67HLBAuzeQPEPg,172 +torch/include/c10/util/int128.h,sha256=u76NZyXMUAGGOjmwCmwGq12fcWNUx0zbCi8ZZB5X_ic,12442 +torch/include/c10/util/intrusive_ptr.h,sha256=kBsLMZ8GVsNPRxYuzGrBLYuyiK9xsU-DLgsYuWahBW0,37619 +torch/include/c10/util/irange.h,sha256=mNiGnOR6jzOYkP8gg7NbffirVveKgCQe4IusTx9HV-M,3465 +torch/include/c10/util/llvmMathExtras.h,sha256=gQHX2KMyqb8xyigRTuZ_LaGurgPY5Mmjm8c2Jhqt-YQ,29435 +torch/include/c10/util/logging_is_google_glog.h,sha256=LU7_XPpQPV1CNYYOfKAnm9vRSTpUNFmRT81AqXJHtVQ,3794 +torch/include/c10/util/logging_is_not_google_glog.h,sha256=902fzZ3kKRO295OFUvKKFX9tM0Fcm959SE-uG7YsIn4,8664 +torch/include/c10/util/math_compat.h,sha256=IBHeCjxjWR8GDf9GjHRY_e5XaLVzkNOjLblQzcdiqHw,7552 +torch/include/c10/util/numa.h,sha256=OR0sffjBZQnI64uh7HAXTsUrgOQtDqB-zCJ0CgyKaZc,714 +torch/include/c10/util/order_preserving_flat_hash_map.h,sha256=gTQJqscYTBRVfWQOkyp2j5mc5NQneF1e_BuK4UKkYXQ,65552 +torch/include/c10/util/overloaded.h,sha256=ypI7q9D5YOv3mVd27Ahv3zXRNa1tKt8FgMBaACHGGkU,709 +torch/include/c10/util/python_stub.h,sha256=Nigc7ZGrniF0qdLn-Ra4KIicNWTBrgARkJYpxs6Ssek,56 +torch/include/c10/util/qint32.h,sha256=iyBUhux_GEJ8J92GhOPnukFSHXEp_vCM_ImIZTR1_Gg,319 +torch/include/c10/util/qint8.h,sha256=bc5SknZDfO9_2Ez-QlgP6CVXkFhkFIc8pV6vqx4y4vo,472 +torch/include/c10/util/quint2x4.h,sha256=yGJ_ehKTUy8Iq54q6LGOQtBf2-Tdwm-6k9EzgLZnwr4,366 +torch/include/c10/util/quint4x2.h,sha256=XARtXHqCVQKflXpoKx4ybFS1E3Pdq9FafFAb9J8SUH4,366 +torch/include/c10/util/quint8.h,sha256=nEiBXDtefPX4IlYbmn_mxC7Ec9QaPZ-d0nIO1BbsGh0,320 +torch/include/c10/util/safe_numerics.h,sha256=5VGuZ3R-b1UjFK4LnLzj3PcPBcvVO77vu6XNgd3EwdA,2332 +torch/include/c10/util/signal_handler.h,sha256=d2Z9KZkUGUxM2NgE1nQMR2zSgDR2YdqoQag4YOHqON8,3119 +torch/include/c10/util/sparse_bitset.h,sha256=_Nk4U3m65ZMLR-aTr5G3SzVvQMA3Jp-Wz6vKsklOqXQ,26768 +torch/include/c10/util/ssize.h,sha256=sdDBdl1LIFVCK5HvM3R_PPjffZxpHW2m6bsTwTHEHO4,1339 +torch/include/c10/util/static_tracepoint.h,sha256=u_jYYCJlvn-3eHJvxlGmnfwt99aG1mmVv4G65dS97bE,1076 +torch/include/c10/util/static_tracepoint_elfx86.h,sha256=gQtPvz1CmIud3EnQVjN-M8MLCrAb3Y3WRNT_xFuzOFc,7227 +torch/include/c10/util/strides.h,sha256=IflMkWW5KEj4wKjjLC5gggtIJIFauQLiudaEm3S-kmc,616 +torch/include/c10/util/string_utils.h,sha256=13PS1R_kWNoyg48OV2pg9qvWOr09xhY0Sbo-VJJFGRE,3989 +torch/include/c10/util/string_view.h,sha256=THsU8Jz1Ysjq9Wa7XegU6TxMuUU6omTT337_4NBzeeI,16907 +torch/include/c10/util/strong_type.h,sha256=dMZYONhE_aGsNa1wfntKG-VTd9J2aloxEz3HQgv39qg,36740 +torch/include/c10/util/tempfile.h,sha256=pgF3JwziKaEOrs-x9v8IO0ihkk35iUXMjotWSGxtiKk,2737 +torch/include/c10/util/thread_name.h,sha256=mnZYxkwFcjqj9d0Kk2HIjtSEYuuFi9rtmW10DUwHyEo,148 +torch/include/c10/util/typeid.h,sha256=BFw4rplpeYh8_t_rKpa_cE5CXVsCI4pOSK8lVa2B58o,23293 +torch/include/c10/util/win32-headers.h,sha256=Hwx6Heb2BvTTMDfWYL3yRoXsqMd9xdu1_LRXz2nMzws,858 +torch/include/caffe2/serialize/crc_alt.h,sha256=1S1Y-QOdR_AF6_ynNXP7skgrzBL4JA8knBpcUNniGFQ,75497 +torch/include/caffe2/serialize/file_adapter.h,sha256=cWooIxQt2IZhgtNh8Z1EMH-q6-ZRYt_Wm46bTZU2wl4,866 +torch/include/caffe2/serialize/in_memory_adapter.h,sha256=YvqxOKgl9o2TU79PqV29jh8jGxb91F1C_pdpuZd2S8k,644 +torch/include/caffe2/serialize/inline_container.h,sha256=HSO5xsceQbItFm1PpIdHdHzrP7wPHkc9Ca42lwb6F2M,9783 +torch/include/caffe2/serialize/istream_adapter.h,sha256=jhPL2xpULlEAj8d6YhmRaSRRjRK6ZFkodgYX3vlPZSs,669 +torch/include/caffe2/serialize/read_adapter_interface.h,sha256=TrtqY4bnGW_iI8ZpIunrB0fbQhRq11g2Xic-AlE2ZPo,556 +torch/include/caffe2/serialize/versions.h,sha256=v2fi7vl7l_cGOVlPEjyW4GRFReQ5Kn4VTyJACt7_Euw,6648 +torch/include/clog.h,sha256=ccwVEvznGGJUpvYCqfdYgtiSh0TA2QEkZn_a5zz31aM,2823 +torch/include/cpuinfo.h,sha256=MypJ4CGMU9_JK75z_VSp4BadSZmNIrGu0oiCRU0FqIQ,48401 +torch/include/dnnl.h,sha256=I-QBhgaQhsKI9ws5dIWiC1mo_tzjMZTqcOEH2R_dquQ,826 +torch/include/dnnl_config.h,sha256=4gxE_VLSQRh1ZjNU0b813RVsIqLRf1g97y8E7yYt6SE,854 +torch/include/dnnl_debug.h,sha256=54dhupUgTYXVDXGNKkIHZa_CIs5rNdGaB4jzaKOmsV8,850 +torch/include/dnnl_ocl.h,sha256=zEhZqSx-AMUh-leUn1DUIKre4POhBRoclUX204x0Ynw,842 +torch/include/dnnl_sycl.h,sha256=hP8wUN2leTYsOSH0zxGhYCowrWL6y1qzEMJx82cMOLE,846 +torch/include/dnnl_sycl_types.h,sha256=wx0L7FacMUW1yLGkQdl633awv1WIiMyjPit8VR0MxRw,870 +torch/include/dnnl_threadpool.h,sha256=pXtNzHokkJu8cOj1YHKPswQ2lHyfnlWmahZ6xSFUONk,870 +torch/include/dnnl_types.h,sha256=mj-E92o3tq2jYmf4m5ApwxF5ZUpOHSW2Tcx1Ye2-CXE,850 +torch/include/dnnl_version.h,sha256=TMnzInMTsAACwnwp4ICpkZmiGXNhA4PHNkrHME_E8_8,858 +torch/include/fp16.h,sha256=E8HMsWXIGhISM6v9jeIa5K3ncDxV_ccTbShVn-bEmb8,141 +torch/include/fxdiv.h,sha256=fSkLf2DxcdPiQIF9s90UAZYYt_70xe8TWmU1DA3MAc4,13149 +torch/include/libshm.h,sha256=6V9-_p0xRhavijNsGdB4oxPHUgjOUZjd2U00-3dd0fA,1196 +torch/include/nnpack.h,sha256=1msg-Qi_QPKPHQHBEDHVWvHj0ilZNjwVIUSEhhs7_es,33083 +torch/include/psimd.h,sha256=4z8bkysyKCCrjI4MhcqPUIsdV46VUcRfjK8vO3p5q14,45504 +torch/include/pthreadpool.h,sha256=r65lzOu4EN3iozcIdd9C-J7y5DUCo0MCCNe26YD0t0w,99328 +torch/include/pybind11/attr.h,sha256=QPjH7BfhL8QFwHHkrDak8gNOLMlb1itAO5fobjdoLp8,24334 +torch/include/pybind11/buffer_info.h,sha256=m_VE_hfWPKl-KgUZy9aVQdPg1xtoaDaBgkurIX7aGig,7750 +torch/include/pybind11/cast.h,sha256=Rcq-l1HCfMIyBxbJSM041wpu3EpZBVChfgVdEpdnqC0,67312 +torch/include/pybind11/chrono.h,sha256=A23naeloqn-1NKVAABOsJtHU9Vz8lfvrAICuLk-7qBM,8458 +torch/include/pybind11/common.h,sha256=ATg9Bt1pwF8qnNuI086fprM4CUTdrZdk_g2HXE1Sf6A,120 +torch/include/pybind11/complex.h,sha256=AaDZ-rEmK4tFaue-K9P5y3TxxnaQF6JwZ_6LAzkdLQI,2096 +torch/include/pybind11/detail/class.h,sha256=Y2IzTplhE5KiMiBlzWSAovCQaI_1M0dlsoDYCTpB5Hg,28518 +torch/include/pybind11/detail/common.h,sha256=rACKWPmqUkdizSQMftuCkLCZBXGbVSiuRv_h0uaY-k4,53480 +torch/include/pybind11/detail/descr.h,sha256=k1nvytx1zhMh8ERL2xS8Unbxcio5fa7eZIqnTsZ0orE,5962 +torch/include/pybind11/detail/init.h,sha256=vYO2nScstnYiCn4Kh57IKrOwpNkQ9gqME4foF03JU6A,17859 +torch/include/pybind11/detail/internals.h,sha256=Az8HDKl3QU-KEOapdwHYifjWpwbej4Js5wKvSspAjQk,28221 +torch/include/pybind11/detail/type_caster_base.h,sha256=LC91ejtvXjGQ0DaUFrYN3ChE1agf9Y2hHDs7byTbZa8,48364 +torch/include/pybind11/detail/typeid.h,sha256=jw5pr9m72vkDsloT8vxl9wj17VJGcEdXDyziBlt89Js,1625 +torch/include/pybind11/eigen.h,sha256=-HmSA1kgwCQ-GHUt7PHtTEc-vxqw9xARpF8PHWJip28,316 +torch/include/pybind11/eigen/common.h,sha256=dIeqmK7IzW5K4k2larPnA1A863rDp38U9YbNIwiIyYk,378 +torch/include/pybind11/eigen/matrix.h,sha256=CS8NpkZI8Y8ty0NFQC7GZcUlM5o8_1Abv1GbGltsbkA,32135 +torch/include/pybind11/eigen/tensor.h,sha256=jLtNZKXr7MWFplt9x3qnHdO73jNZlAqT40Hb4FPabnk,18442 +torch/include/pybind11/embed.h,sha256=xD-oEg56PadTig9a8FOcMgbsL64jaie7hwG3y6DWPEI,13459 +torch/include/pybind11/eval.h,sha256=7re-O2Eor1yD0Q_KgFkHIjKD17ejzII687Yszl9_KfE,4731 +torch/include/pybind11/functional.h,sha256=cXDJUS0Y_1GBbOK4Nn13exhkZsAQWx408HZ-PFBmbJo,5002 +torch/include/pybind11/gil.h,sha256=RZkkMm0E9PQlHXW6xkBIhM7VBeCvmyJlPVQNaSJMUQQ,8262 +torch/include/pybind11/iostream.h,sha256=K5rPXoCYN325r1PptcJCIhPhgtRtTJQjMr7bvUIOwxk,8862 +torch/include/pybind11/numpy.h,sha256=G-hxJJom5roJ7s_hTiG1Mq9NxpZ6BOzK03fLXUQuH30,79725 +torch/include/pybind11/operators.h,sha256=224RoAXcv1la4NNY9rQ3aD_AeC8S9ZKx3HVK1O8B4MU,9103 +torch/include/pybind11/options.h,sha256=qXvmnj--9fZSp56NYefnB3W5V17ppHlY1Srgo3DNBpw,2734 +torch/include/pybind11/pybind11.h,sha256=V1zKPVpON-t2yGVQigySYMALadMx-ux7eZ_xC0ILg9c,126706 +torch/include/pybind11/pytypes.h,sha256=mshHowCgq91Dt06atf5C6DFhRSWbUwYBgIl21-2usco,98455 +torch/include/pybind11/stl.h,sha256=dajIEYNnTimX5uYYLm0TzYesxq87JakWZ5KWCzbET2I,15477 +torch/include/pybind11/stl_bind.h,sha256=835YP_4OkcKTkNOaY-GUUXIDf86GSpN65lVivP0M4TY,29897 +torch/include/pybind11/type_caster_pyobject_ptr.h,sha256=H7pKBYTvUlibiJQEcKmeAkygSQwoCkuIyukNSDmVq-U,1929 +torch/include/qnnpack.h,sha256=mWe4sLwLzgVvsAhXWL9Qjm8FD0nWaRhY6tNrWyLN2bI,8638 +torch/include/qnnpack_func.h,sha256=kxuQHibZQi5M43Cvi-CVaYx3sB5V0w8IHvy8sTo8GtE,4146 +torch/include/sleef.h,sha256=uPhj04GjDiBOyK3EYN2UgREc6_jBwi8fSvLoFSq2c8Y,232472 +torch/include/tensorpipe/channel/basic/factory.h,sha256=3o2OYoXOWYEwtjoQ5X-EswIApRuljOdRWv-ojMhhx5Q,463 +torch/include/tensorpipe/channel/cma/factory.h,sha256=JxKJlqaLXICRxUAUQ4WhZvnlDJ16q50RaRNrd_LI1kk,459 +torch/include/tensorpipe/channel/context.h,sha256=7ALwdlTvgQ03mQaf62xXQ8DUyPOqwg45Qd0F4K6d6II,3701 +torch/include/tensorpipe/channel/error.h,sha256=gELOO5tHQHB4A-WmJuEs6ti1R4EsclrJwIKd9M7tcI4,778 +torch/include/tensorpipe/channel/mpt/factory.h,sha256=G0uZbp_uflgv-AFC7ne6m0txzApGqMZWvt_ICfq3WKo,646 +torch/include/tensorpipe/channel/xth/factory.h,sha256=EmAmNeIHbPe5bMKHnlHR6xdxzTEoCjczXWS8AhiKJWc,459 +torch/include/tensorpipe/common/buffer.h,sha256=p4M8zVk4PM2536SlgY44_RhxEKREEZT6I8oVDJxhyXA,3472 +torch/include/tensorpipe/common/cpu_buffer.h,sha256=pxnNAhil60W4izP77i80GpYRAM1C80jeBO34Jai1RfA,441 +torch/include/tensorpipe/common/cuda_buffer.h,sha256=CTwIuLbgn0Jfp7rKEPZGG_Fo01q9oU67Mpw48SICUls,468 +torch/include/tensorpipe/common/device.h,sha256=KZSlF-D7o3gWVCc8bzQpt_nDBLvW0maDdOFrx60Whis,1649 +torch/include/tensorpipe/common/error.h,sha256=JkbuNVfCczMIFayGA0woiLCOEHTaSLmqC3dHBCvl4_Y,3136 +torch/include/tensorpipe/common/optional.h,sha256=R8Io-h6lETspEfT9z8gWWkKuS2y1X1bTCVFDJCp-lTQ,26638 +torch/include/tensorpipe/config.h,sha256=W7Q7azBmk7xdHVyvraFKBKwxkk6dsQew26lwxuDJu84,351 +torch/include/tensorpipe/config_cuda.h,sha256=_SLA9yKKTnnSbVDgUCfc5BmO3kFgcjGxUxVWu-WH3VM,319 +torch/include/tensorpipe/core/context.h,sha256=jM_MOIRoc1ZUU_NJi6du5PtFaxAzOEQiqzAb_ludD_g,2468 +torch/include/tensorpipe/core/error.h,sha256=7NdEl7Irf82Yk0WL2XXTFnpIapv04vuiEMn7mCCq060,961 +torch/include/tensorpipe/core/listener.h,sha256=19RG5UUa6-8AZAf5Nr-yA6_4j7bfBsdOv0CUwJF83cM,2928 +torch/include/tensorpipe/core/message.h,sha256=ycfshEi1a8QOrNJlOKZwKWKVzNo7F42-pZeiZtglxuY,2885 +torch/include/tensorpipe/core/pipe.h,sha256=Zb0z4tKyoAPd99se_YZs1RQe3Cd7iydEsbanE8LbiD4,2972 +torch/include/tensorpipe/tensorpipe.h,sha256=UlOcNcNxPcn35eq0OBZ0YzjRGPaZevqfOas094Mya-Q,1449 +torch/include/tensorpipe/tensorpipe_cuda.h,sha256=jfoYOu7NbE5bgHtQoW_LktEqtjP-D8QNHl9PgXfuKsQ,704 +torch/include/tensorpipe/transport/context.h,sha256=L6kYLwqLG3V-o90buhzJFPh7eI_dzQEqPj-m0A96alw,2645 +torch/include/tensorpipe/transport/error.h,sha256=cmUQYONBrI-zmT28gCKojsqp6OxSUh-OJq2bNWqjbOA,919 +torch/include/tensorpipe/transport/ibv/error.h,sha256=K_0RM-V2HRRp_f-CQR8VWxXao-jyT_BhAycnAlAX7uw,920 +torch/include/tensorpipe/transport/ibv/factory.h,sha256=x1RLLvO58D4JQY_BTj-Jo7eKQwKA1FVueAeVzzGg9Gg,465 +torch/include/tensorpipe/transport/ibv/utility.h,sha256=OwgbqTXmVFVfbq4HYZTPShLz0lhYWLsJ7OyG1c1uEK0,569 +torch/include/tensorpipe/transport/shm/factory.h,sha256=7SEWso-QS8ZpHPaffz4QCP-o8rusTJAC1Vdw3bMpJt0,465 +torch/include/tensorpipe/transport/uv/error.h,sha256=YHLjjMatSyU_V1ulMyFi3WWJQT_xJZCzH4YHt20tYLg,716 +torch/include/tensorpipe/transport/uv/factory.h,sha256=1hSYHcEhiLvuRgvEanrpDPzO1wtzG_2ZgeLH72mtwAE,463 +torch/include/tensorpipe/transport/uv/utility.h,sha256=FRljgmy75kb4DNXkINUOSN3prXPrNWttP4FvsyR1t3c,1049 +torch/include/torch/csrc/CudaIPCTypes.h,sha256=qgBXU1ETzokoK6XrMjEx0Zc3EViMiZhRQFAYIc3YhyQ,3439 +torch/include/torch/csrc/DataLoader.h,sha256=lznqMptWAhecYOjR4xNw7M9uz_D_3i-erB2afkahEns,222 +torch/include/torch/csrc/Device.h,sha256=-2jKs9r1Kd_NzeRiVXarBVyRAEHOd8JEZry6XhU0GWA,483 +torch/include/torch/csrc/Dtype.h,sha256=u15HfVVajTcjUeZEJ4QdHe5I540r6Sm4mNvNcll_BuU,785 +torch/include/torch/csrc/DynamicTypes.h,sha256=XiAB2Fn7sQha6YO_hy8CBDnq_OWMS8v_S4CY_yFld5g,948 +torch/include/torch/csrc/Exceptions.h,sha256=wmxrWSp2pofLpbZ0NSHgdGK6J176rUDr_cW5pqyS0B4,15967 +torch/include/torch/csrc/Export.h,sha256=ZiMG2QBIF6DcKqwWj3KSiXLWEn55prmg9a5IjvOzjuM,157 +torch/include/torch/csrc/Generator.h,sha256=_grQ0D9LIPDHB_xkMu7peBjgJsbTsUjRwOOctwmvK8Q,970 +torch/include/torch/csrc/Layout.h,sha256=f4b22tdUkDPMBPf10r18CSrLrEX1zV0LgNBt9DUG1CU,537 +torch/include/torch/csrc/MemoryFormat.h,sha256=PS_TTIZiELRrg08au2TF5Pn5OjJ_78kESahVT754j2g,632 +torch/include/torch/csrc/Module.h,sha256=wN2tjWdCnIQxJrMDwGu9qvP8r3Q-33eB2HkCvydBUUo,101 +torch/include/torch/csrc/PyInterpreter.h,sha256=qKBF5qdTCx7hQxPUutO2sevyWnaW4kdtpM1G_yvZENo,195 +torch/include/torch/csrc/QScheme.h,sha256=7Tp540AWYE0HrNgNQmHdhyGwAouc2ZS3oewmKHsyXbM,558 +torch/include/torch/csrc/Size.h,sha256=i312eBDDhfQsJqIEY7HLO4mm6-F3gw0xptYBn-jcGYY,428 +torch/include/torch/csrc/Storage.h,sha256=lYO2-apMaBZySpu0oi370knko8X8MNAxxKLAR_FjK78,1418 +torch/include/torch/csrc/StorageMethods.h,sha256=rwOmQTprbmsE6JSQwctAI4et7C4sCu4T9aIfqLlcFY4,132 +torch/include/torch/csrc/StorageSharing.h,sha256=1CArzbCWa2fFqAh9GWj4fQovYycv5iY4D3UaamuAKJk,139 +torch/include/torch/csrc/Stream.h,sha256=7kZ7O6VsI0JxaZ0a27v3mGPSVEDXllQ4zPy4DSw0ZXs,546 +torch/include/torch/csrc/THConcat.h,sha256=JD1F5DtB2Ep00ZJVpilglulqKt6sTBwu7hS_Cmw2Cek,691 +torch/include/torch/csrc/THP.h,sha256=SPSS5bsFlvR4N7dgR2kV4fhELIwwggJnA3a82Wtgh84,894 +torch/include/torch/csrc/TypeInfo.h,sha256=ELy98ihypY76ViLiKmnrn0I3Lm6v0Xkko6hHzVdLl-M,498 +torch/include/torch/csrc/Types.h,sha256=AmVTjwFoCqH3ekahbAr32ulikXerrtB7ycNIDeX32lU,163 +torch/include/torch/csrc/api/include/torch/all.h,sha256=gBUzcUL8YCcGfky29Q5rC2XVRULU4ag7T0OF27HFqBA,567 +torch/include/torch/csrc/api/include/torch/arg.h,sha256=93VRHisWSjYvzQJgG-IBEGjqWabdppvd_r9Vh5lHAYQ,1391 +torch/include/torch/csrc/api/include/torch/autograd.h,sha256=MsdrQ_Un675B93MTyFZ1cLc09aLGLpXhwvJTZhR_j0Y,172 +torch/include/torch/csrc/api/include/torch/cuda.h,sha256=J238-uWS1thxsCxBj_f6wxC_fQPFc8A6MAYftdEEa5I,738 +torch/include/torch/csrc/api/include/torch/data.h,sha256=Kmhs111GxZwH-79BzETOAFrXVdXa-biOfDVy9H0PSvc,301 +torch/include/torch/csrc/api/include/torch/data/dataloader.h,sha256=YgJsTQB3R3MKfllvYAL56iGhxXm3ZS6jK-aR4xb2qFk,1969 +torch/include/torch/csrc/api/include/torch/data/dataloader/base.h,sha256=bAS0eiyi1X6EyNTl7R7CdmsVvT5qZrbe0Ec0-d1azZ0,9091 +torch/include/torch/csrc/api/include/torch/data/dataloader/stateful.h,sha256=Ll4teD7pan4E2nRoX03oaftJERT_JS7oXFvEWgdolA4,2374 +torch/include/torch/csrc/api/include/torch/data/dataloader/stateless.h,sha256=shX4hiIWK6gNwdWdUt1qRcJBH53SzOrFCebUn45Riho,2773 +torch/include/torch/csrc/api/include/torch/data/dataloader_options.h,sha256=11favVQYGSXABmtx2OtLHIXDbV1tE_zEbcWnxJN3B8o,2207 +torch/include/torch/csrc/api/include/torch/data/datasets.h,sha256=Q3_zlkvTD7BOp09o0vpPhI9r_1ABb_6n5CunXPS8ZCU,289 +torch/include/torch/csrc/api/include/torch/data/datasets/base.h,sha256=IeK2LEjERreF490CTHgQyVBHAsDwUoEj5tiCy7DEGc0,3255 +torch/include/torch/csrc/api/include/torch/data/datasets/chunk.h,sha256=pcxe7fnfFIpMMBF7Ap9MYO1pW-SnYUl8bUlCopwh5CM,19166 +torch/include/torch/csrc/api/include/torch/data/datasets/map.h,sha256=izVTBZSlJg3XA5cSzZmOxqFtSNPmFnqBF2-0p7syVKw,4149 +torch/include/torch/csrc/api/include/torch/data/datasets/mnist.h,sha256=EsIiV0K1xWUkWyvxJECZ-h5i9WTcgey7UwWg7y7rXbI,1274 +torch/include/torch/csrc/api/include/torch/data/datasets/shared.h,sha256=3sWsIjprurANfiujsA-nXYSaUjDb4J-6SC1fqfeAWtY,2640 +torch/include/torch/csrc/api/include/torch/data/datasets/stateful.h,sha256=BSXgm3tIeUJ7UeXFtcx9cl1ETE37j8xtnTZ-1Ph2AI4,2304 +torch/include/torch/csrc/api/include/torch/data/datasets/tensor.h,sha256=iwc95QjuG-qua9WDXr-UVvlJcL5yxaon8VjSS3_Gj9E,954 +torch/include/torch/csrc/api/include/torch/data/detail/data_shuttle.h,sha256=Ezx7V5a0DzbKFYaB-qONu5KE4CrMC6MddrluCXNkEzA,2626 +torch/include/torch/csrc/api/include/torch/data/detail/queue.h,sha256=sC_Z5JwLzcudmuDj2s5U9f39dkcdjkwfElWje6sSYyw,2486 +torch/include/torch/csrc/api/include/torch/data/detail/sequencers.h,sha256=4hOK1efnNfm_E1XY7kP1eC0EzJNlRpI317kciJi3S7g,4470 +torch/include/torch/csrc/api/include/torch/data/example.h,sha256=FoF2ZsbWqnyGe62RGxQpEe9zkPEFwPbnV_O9eGErl_o,1314 +torch/include/torch/csrc/api/include/torch/data/iterator.h,sha256=a5SCTCB0wHPJAuZtgj04OMKoyc3SKDwjnjfDONIbYZo,5284 +torch/include/torch/csrc/api/include/torch/data/samplers.h,sha256=ILkgiKXJN6RyR0Fjmmv8E8LuRBIoBH_P6lUmenbf8Ho,318 +torch/include/torch/csrc/api/include/torch/data/samplers/base.h,sha256=r_HP0iHQFeQ-5kaihcHHspLTZk4fSs6cztGPTKo2wJ0,1230 +torch/include/torch/csrc/api/include/torch/data/samplers/custom_batch_request.h,sha256=wwuFriVD9gspMiNaUerjj0JbzYiSq9gGHcvGxR5HJMA,556 +torch/include/torch/csrc/api/include/torch/data/samplers/distributed.h,sha256=xpV3JDi_ypd2zII3dzwVPVoNTVj1cuBkBV3rLIEr9yE,4120 +torch/include/torch/csrc/api/include/torch/data/samplers/random.h,sha256=CyDH8IthLCqxQMd7hp_Hjclmz8yXjIVdreKjx2MVQ-Q,1522 +torch/include/torch/csrc/api/include/torch/data/samplers/sequential.h,sha256=8CkVK2ND4rrMFeA1UQ2V8ZeI66NOJoaqX7mZd9Zz6mk,1254 +torch/include/torch/csrc/api/include/torch/data/samplers/serialize.h,sha256=Xziths-YjwF_GZ48kRC2woI-Mq3T5FnPaqb_rN1Dd7A,707 +torch/include/torch/csrc/api/include/torch/data/samplers/stream.h,sha256=QFEyl-x1J14aCngLJJ5Cq_M9z1UsW1yfDSsU1P1o_7I,2033 +torch/include/torch/csrc/api/include/torch/data/transforms.h,sha256=TvF9SJpmwR6rCQJvCvO4T5egw3AsiQsCCoOXs_0UTrA,222 +torch/include/torch/csrc/api/include/torch/data/transforms/base.h,sha256=ASbt1QfCjbbr1Y0UlhbxJMe2fB-aRUiQknSgnhSc52E,1629 +torch/include/torch/csrc/api/include/torch/data/transforms/collate.h,sha256=WmDBU1eC-t1-s0j8FQioTkdq1mwXoO_bqpB1lQo3rQI,1113 +torch/include/torch/csrc/api/include/torch/data/transforms/lambda.h,sha256=Kv3GGowexuP96q9NMdRD8VOPvAWq1V3vkc_c_SiUdjM,1709 +torch/include/torch/csrc/api/include/torch/data/transforms/stack.h,sha256=-PJSj11bWeg0mja_pATfo56qqrMcrHxvKO_qEZXaRQY,1424 +torch/include/torch/csrc/api/include/torch/data/transforms/tensor.h,sha256=kuYi1QbUpZcFZBA6_ty3rndAxH8ijPHUDaK64LqDr9k,2473 +torch/include/torch/csrc/api/include/torch/data/worker_exception.h,sha256=5wwUj8XNAgIBfepKIFOVzjtZ1_jf4TNXXXe-MUOIVxA,1088 +torch/include/torch/csrc/api/include/torch/detail/TensorDataContainer.h,sha256=2WOw7NwGbpRsnq8wx8G2OnRzoFFd-D3Yv014fPG84Wo,13893 +torch/include/torch/csrc/api/include/torch/detail/static.h,sha256=pUIWtGGNH8v1WLnEULDUp3nUXrEn5mlgr2VEUCvP2nQ,2200 +torch/include/torch/csrc/api/include/torch/enum.h,sha256=-tBHQNaovnuDmmfZaxe1HaT09tDXEQiqtA9osvIDdGs,7407 +torch/include/torch/csrc/api/include/torch/expanding_array.h,sha256=iekGG_-VoPk6phxfx8pi_uAS-LIGE_217r46Czb6-8M,6673 +torch/include/torch/csrc/api/include/torch/fft.h,sha256=5WaKGS1q9UbbMoYMNJuH8KoYLBy728WvBVRT8IcpjAo,12062 +torch/include/torch/csrc/api/include/torch/imethod.h,sha256=jKsQgJqScAnlZLk5Gpx_b0mE1crUn95AULY3w77hjmw,1740 +torch/include/torch/csrc/api/include/torch/jit.h,sha256=DHCcXjlpyeSFTF58OmdCXUJL3hrXRujX-hIgA8YXukM,913 +torch/include/torch/csrc/api/include/torch/linalg.h,sha256=_7-5qV6s2d1I5NlXU7890OX7cU7V85QrMcif9LeseSE,28484 +torch/include/torch/csrc/api/include/torch/mps.h,sha256=FRDi-oKf2Xayga00DSgWPomyyWuC_nSKSbMSgkUAAWM,1219 +torch/include/torch/csrc/api/include/torch/nested.h,sha256=v4cHHkJXPGWowWUiiURoKg1MV4jLdxofwRR9k1me5ak,2804 +torch/include/torch/csrc/api/include/torch/nn.h,sha256=Iah9Blyam2lcEKX85589p1KxupDmsbwkigjMErXYSUI,251 +torch/include/torch/csrc/api/include/torch/nn/cloneable.h,sha256=zDEzxwVI0lJUgMhfHFjJOI7RyusqymDKl5MUSXortdE,3881 +torch/include/torch/csrc/api/include/torch/nn/functional.h,sha256=NysmuOu8Bb9fjjXr_qJk2eflRZtyB-B_txwODYKiCyU,642 +torch/include/torch/csrc/api/include/torch/nn/functional/activation.h,sha256=DILH097KXAQxTUUdPE0TDnfD9L66pDd2P_6nX7M5JmA,29884 +torch/include/torch/csrc/api/include/torch/nn/functional/batchnorm.h,sha256=jWw-aKMc8AQCj1Yi5bM9xJeGg3fc_h1TIClFD5ADRW0,2090 +torch/include/torch/csrc/api/include/torch/nn/functional/conv.h,sha256=IGUXjx7Mo0vLnyKeAZFX7P1mROGcLCNH_eRMc2T55k4,8159 +torch/include/torch/csrc/api/include/torch/nn/functional/distance.h,sha256=0LZ0Z0xj3SBf7ahI-m4gZ8b3zg9-O3r-dNuRA3GH-ZA,2553 +torch/include/torch/csrc/api/include/torch/nn/functional/dropout.h,sha256=TDx5HONnEEw3z7aA_1we2ydlbbbfz0GM5XNULh9smx4,6596 +torch/include/torch/csrc/api/include/torch/nn/functional/embedding.h,sha256=afSsCg2V18oQoRX74entS8UX1gKVmsTr13RtGtVp7pA,6463 +torch/include/torch/csrc/api/include/torch/nn/functional/fold.h,sha256=cgF22lXcAJ_f2zItREa2zXuasC7tbtzr5M1qM1db0wU,2790 +torch/include/torch/csrc/api/include/torch/nn/functional/instancenorm.h,sha256=2uZaKLXWnZ0eukm7Bb8ihTGuowKaOMheE0A70QE14ZM,1607 +torch/include/torch/csrc/api/include/torch/nn/functional/linear.h,sha256=WXUeDK7FwvXxtZroPOP9KdP6Rvn2T3K8ds2OCEkPJfc,811 +torch/include/torch/csrc/api/include/torch/nn/functional/loss.h,sha256=4yhi-r1k3WDzI1PzpxLQk3gR8JPygpPFxU_-YnJ-UHw,31995 +torch/include/torch/csrc/api/include/torch/nn/functional/normalization.h,sha256=1LWFjXvI_Ad8WUaZeE0viV7u0KPCimq-HMCS4h-QKR0,6029 +torch/include/torch/csrc/api/include/torch/nn/functional/padding.h,sha256=zeK_8QKEOE72Ha9A50CQ5bEvZxAQIK8rSt58B8-bOWA,1726 +torch/include/torch/csrc/api/include/torch/nn/functional/pixelshuffle.h,sha256=miKN15rhr9w4LsvzB8s4vjWP7CoD9NakkzhR3QBfd9A,1345 +torch/include/torch/csrc/api/include/torch/nn/functional/pooling.h,sha256=WLnD4gR7eDyGWXYBBmzjIPQ2V8oNf-1Dvf2U-5E7hPM,34035 +torch/include/torch/csrc/api/include/torch/nn/functional/upsampling.h,sha256=Y5aNx_PPKyjCAKWRnpTKv3Ct7qthA_fWYbM0mXo-i_8,10781 +torch/include/torch/csrc/api/include/torch/nn/functional/vision.h,sha256=SDymvG0oGt7mzHw1nnCaOTO0NPPVDPvANE5PukN8TAU,3677 +torch/include/torch/csrc/api/include/torch/nn/init.h,sha256=peZX66JUTiRh4XRtOdscOKM9gmzt0N8RdqnvQFVleAo,4967 +torch/include/torch/csrc/api/include/torch/nn/module.h,sha256=-TiJnrYpMg1MOAcRcxMKVpqMTPVGYVc7_nLmKSWDros,26858 +torch/include/torch/csrc/api/include/torch/nn/modules.h,sha256=N-ch-fayJ5OIZEUP2hKxJK26CjIEGUnC2d8BnQWfK2M,1289 +torch/include/torch/csrc/api/include/torch/nn/modules/_functions.h,sha256=BP9nGTfrMWkvkNeWHXCl9beAWRvq-EQtnNo-DrCaCKY,706 +torch/include/torch/csrc/api/include/torch/nn/modules/activation.h,sha256=4Sgq1FLPCeTY8ZpBgU1p67jTA8SBMGOtvzA-ovVlI1c,30392 +torch/include/torch/csrc/api/include/torch/nn/modules/adaptive.h,sha256=DFbRzJAqoxxTbLUjojV-HuwGHfOnAAPKpOdBXFRwXS4,3513 +torch/include/torch/csrc/api/include/torch/nn/modules/batchnorm.h,sha256=XM1zVWA81Ggara8dzWFedYYgemZ0i54_Vx1qvGeLapU,8435 +torch/include/torch/csrc/api/include/torch/nn/modules/common.h,sha256=VIpLpI_JSyD8B372lKDzksHNFqgy5Ktn0F9iv5v-YTQ,4318 +torch/include/torch/csrc/api/include/torch/nn/modules/container/any.h,sha256=Bs4T4Djx4XZObd0lGveBI6tVsVvPGev5R23Gsaiodos,13717 +torch/include/torch/csrc/api/include/torch/nn/modules/container/any_module_holder.h,sha256=z8GDcCvhmOx8tImBvBm1tiXITYRZBuvQ3linvfeoDPI,4796 +torch/include/torch/csrc/api/include/torch/nn/modules/container/any_value.h,sha256=2PcpOjAazKJSzj6L5G2fSDt5mR1epvQdABYbptVxdpI,4078 +torch/include/torch/csrc/api/include/torch/nn/modules/container/functional.h,sha256=CujavnJKGre8HgI4_pLLkbn_UCCUX1Yi52Wu0hN1fVg,3437 +torch/include/torch/csrc/api/include/torch/nn/modules/container/moduledict.h,sha256=OS8d-nox3sghr-80W5q1Z0JaIjKmszf1lJn-pGSNROU,8437 +torch/include/torch/csrc/api/include/torch/nn/modules/container/modulelist.h,sha256=qnmLQwQpZnSQT6hY-PuMQGW5HDy_0tCg5EUPSlGRXEA,8983 +torch/include/torch/csrc/api/include/torch/nn/modules/container/named_any.h,sha256=P2sWNAVFOwMDgAxGuLNeWTfv27J3pwgQfd6fDZ1xTUU,2748 +torch/include/torch/csrc/api/include/torch/nn/modules/container/parameterdict.h,sha256=hZfkx8aAFcLHdr-pTgDgRZB0AhFKEcw1fhxpoyqGRus,4500 +torch/include/torch/csrc/api/include/torch/nn/modules/container/parameterlist.h,sha256=Dt0JwsLZpr9C0WOuvNmxJHZSOntzLmnewaE2CfcUarI,5612 +torch/include/torch/csrc/api/include/torch/nn/modules/container/sequential.h,sha256=nt_XLg90S2qQGCT9-Mdx_0F2P7U7Unx3FzVrRExOiiM,13801 +torch/include/torch/csrc/api/include/torch/nn/modules/conv.h,sha256=Q3orjTQz7Ty8nUKb4BypDWMawgrzGbMdowZvL7XjaYA,16442 +torch/include/torch/csrc/api/include/torch/nn/modules/distance.h,sha256=0Cbqt-BskTtJJOTvgwlsGhAx5Hu_tT7nRouwBmA4icM,3085 +torch/include/torch/csrc/api/include/torch/nn/modules/dropout.h,sha256=TnCUg8mHAq7MIePrhNllBKJ5E5ktZqdQOAQZ_hfrxAQ,6525 +torch/include/torch/csrc/api/include/torch/nn/modules/embedding.h,sha256=BIuoRucwMOp3k49_px5A6967fcrvtrH5wFxqGUqOva0,6224 +torch/include/torch/csrc/api/include/torch/nn/modules/fold.h,sha256=JWW6AqN-AmBbpsjRjT_bmKQolcrDeg3rzddW3zs10Fw,2851 +torch/include/torch/csrc/api/include/torch/nn/modules/instancenorm.h,sha256=QrrySsiNuN-q3ThXWsDrJ0yfbfOvNi2d81hG0FPQzlo,5440 +torch/include/torch/csrc/api/include/torch/nn/modules/linear.h,sha256=4kx0xcQj8oyPQ8cGRPnoI9bY8fqf_i8Fb2zw8FMvZak,7455 +torch/include/torch/csrc/api/include/torch/nn/modules/loss.h,sha256=Oix5-EEvtLEMUbZgy8TL6-975lZ4jKM1gfmiuBbD3kQ,31047 +torch/include/torch/csrc/api/include/torch/nn/modules/normalization.h,sha256=mKzV4fa82pQkxyN7pXs48hRCKFMPJ5y5SMhEYeCSf9c,6932 +torch/include/torch/csrc/api/include/torch/nn/modules/padding.h,sha256=7g0s-1Nf-pZ6FqjT85Bn1MEn-kkRsuOh2Pjn1BaNOvo,14389 +torch/include/torch/csrc/api/include/torch/nn/modules/pixelshuffle.h,sha256=3xvKd1fP_uLIPRHLB0O6uhnVqUSBUVpFdYqKEum78Yo,3138 +torch/include/torch/csrc/api/include/torch/nn/modules/pooling.h,sha256=DHE39jHRYUugZ7qyTKH-hS53BUzNJlxoimM5IbrQSyA,28663 +torch/include/torch/csrc/api/include/torch/nn/modules/rnn.h,sha256=V7XDot1YcC4Ck-_asydRJvug8Kg8wnt-gcFYHC2PBQY,13482 +torch/include/torch/csrc/api/include/torch/nn/modules/transformer.h,sha256=csOLk0HEH9ecHhyRvagjkFSx4ImefSI-beO_mn1Tnh8,5347 +torch/include/torch/csrc/api/include/torch/nn/modules/transformercoder.h,sha256=9ED87J98BxDKwlXCU3pgDEIMJuB1ppxhkz4--OrmW8Q,5210 +torch/include/torch/csrc/api/include/torch/nn/modules/transformerlayer.h,sha256=W8DjzwFJXv9XOf1DZv8eZ1t1oWFc3IJJPszHz0Dzb1o,6436 +torch/include/torch/csrc/api/include/torch/nn/modules/upsampling.h,sha256=JdQtx-f9utLFCM7iQvRjce0Wh_xOCUtFGkahRs5MmOc,1653 +torch/include/torch/csrc/api/include/torch/nn/modules/utils.h,sha256=xckfFxoRlgOVH1njGyogceCx5q-KJQ83nJaOkHSUG3g,1517 +torch/include/torch/csrc/api/include/torch/nn/options.h,sha256=gilbiVyS93p7hxxyII0HQeKrDG8lVfOafzVF--xe6Jo,645 +torch/include/torch/csrc/api/include/torch/nn/options/activation.h,sha256=HaiFrpZ_hIOTedWZKSz9IF5IHvHfhptp7_yoBXpQqy4,19044 +torch/include/torch/csrc/api/include/torch/nn/options/adaptive.h,sha256=5EPq-J3DmNkQbwGBVLp7PeBCdVtSvBkfbPgGwdn4hCk,1082 +torch/include/torch/csrc/api/include/torch/nn/options/batchnorm.h,sha256=fvDhawqR57OjuKMbenihMdBhte9FLWZU9cL7xy2MhGM,2799 +torch/include/torch/csrc/api/include/torch/nn/options/conv.h,sha256=fDKeCfujd4KWTHVxhK3uEHJwcc1z0pa4Kphq6FQW_PQ,13471 +torch/include/torch/csrc/api/include/torch/nn/options/distance.h,sha256=1xO3QSvj2bRjC_tDSxsRHeZrWUo-aoyjoWGfjpE4FB8,2014 +torch/include/torch/csrc/api/include/torch/nn/options/dropout.h,sha256=310P1wMBa54NUwsX9-ZnaZz5cQ6MXt--zLwMopR-kZw,3070 +torch/include/torch/csrc/api/include/torch/nn/options/embedding.h,sha256=rVSAJCdYD5lmI7lOeDn8z8rO3hQg5z5Q67LhnVRv1e8,11667 +torch/include/torch/csrc/api/include/torch/nn/options/fold.h,sha256=O0L5OK4knN17vWHoOlJO0oYcTPtg45KwHf5_Ozm7QOo,2985 +torch/include/torch/csrc/api/include/torch/nn/options/instancenorm.h,sha256=OYi8hkjptDwVSmUe4rVRKbWAinL3-yGWKfnrgVQhchE,2321 +torch/include/torch/csrc/api/include/torch/nn/options/linear.h,sha256=4vbCx_PsUqaEBZHT23QkkMlwX8dYJlgPDUewYEgAOP0,2804 +torch/include/torch/csrc/api/include/torch/nn/options/loss.h,sha256=Q9jm6F2z4MBRP_x6kLNXTLOEfWS12vFxhFuvqa1IO9U,26727 +torch/include/torch/csrc/api/include/torch/nn/options/normalization.h,sha256=4tkA8pmb95MtP_EeLYmXqqfJVBVhzxnqMZIIdRX5nZA,5522 +torch/include/torch/csrc/api/include/torch/nn/options/padding.h,sha256=niy8hQD-O7chIgVuxed2Vn5Y4msg6qsCsUnoU2XHNwM,6860 +torch/include/torch/csrc/api/include/torch/nn/options/pixelshuffle.h,sha256=8IxbtIymppT6zZ5HML8U-u4popSCbPoGWwL97kWovj0,1657 +torch/include/torch/csrc/api/include/torch/nn/options/pooling.h,sha256=9vD2jsrvmEkHR-LEI3RKtuZ3amDlkvhXLBUlBCHd0OM,17094 +torch/include/torch/csrc/api/include/torch/nn/options/rnn.h,sha256=RBLJcPr1RXoK-lFWVyAgxcmQa0StVX3wifjYOr3XksI,8220 +torch/include/torch/csrc/api/include/torch/nn/options/transformer.h,sha256=ZovANxKNXQMg3-GjB1FYcYnGiWq5zAunZVRNxubCnvE,1839 +torch/include/torch/csrc/api/include/torch/nn/options/transformercoder.h,sha256=GyPoGtcjMp1zC0cdecPqdHUyqI9qMRImM570EXUoVjk,2344 +torch/include/torch/csrc/api/include/torch/nn/options/transformerlayer.h,sha256=j-KijW00OJcG8mDqkY7RzA8UTE337YryBmvU0SkhGU4,2084 +torch/include/torch/csrc/api/include/torch/nn/options/upsampling.h,sha256=RTH0ZO0qymjab7DJ8gYJ9v_ubQREHP_AwBMo8DEEEY8,4156 +torch/include/torch/csrc/api/include/torch/nn/options/vision.h,sha256=UYxQaulHINEpbP4zNfM0ndz3NCKMSvSOeEiV5aBGJg0,1099 +torch/include/torch/csrc/api/include/torch/nn/parallel/data_parallel.h,sha256=boWLFLpR4oWK_SlnnJYZGaIC7xCWHXJcyRvHwD0oHU0,11126 +torch/include/torch/csrc/api/include/torch/nn/pimpl-inl.h,sha256=xxnX5ieC6RiLP_BrWToPZQS5-8Kd-FMkxu8K5EjJtb8,3196 +torch/include/torch/csrc/api/include/torch/nn/pimpl.h,sha256=Uue6ZUytkwcQfy7ro4D27rbw3Ft_X_MrwJbOhRhE-14,7102 +torch/include/torch/csrc/api/include/torch/nn/utils.h,sha256=WCbMNSev0r4C0hIKiE0SK89PEv_fXBGZA3jregGzNNE,131 +torch/include/torch/csrc/api/include/torch/nn/utils/clip_grad.h,sha256=AKcUt4L7e4AieGkst9kTcilHRqW4AQmERNs3EOS8veM,4874 +torch/include/torch/csrc/api/include/torch/nn/utils/convert_parameters.h,sha256=82Rx2e8-k4iX9Kr39oU-XTzQLVnvtgSIVy_Gymw5lXM,2442 +torch/include/torch/csrc/api/include/torch/nn/utils/rnn.h,sha256=hwl5K7mlsakVGPI-t8BDPyX3YJD7qFRYyCOQwHoqtd4,12741 +torch/include/torch/csrc/api/include/torch/optim.h,sha256=J4OhJvYyEZAp8PvJ76j92iQ72tMckncR02F9fssgkRM,330 +torch/include/torch/csrc/api/include/torch/optim/adagrad.h,sha256=MTFVhxp4UVapF-9_WycQrkLOJnm28z-2NkW1bRIaJNQ,3553 +torch/include/torch/csrc/api/include/torch/optim/adam.h,sha256=g25k323eiHpoomr8I4U1FB4ftmSAfwqAhSMEhvK0Fg4,2948 +torch/include/torch/csrc/api/include/torch/optim/adamw.h,sha256=2ggm--yAP7_u6q1LQuvOgVYvaFsHX_luZVlYRQMwJVg,2968 +torch/include/torch/csrc/api/include/torch/optim/lbfgs.h,sha256=aBel73C2L0dfnp3k0BQ5Jyoe7Xv62aDMse8qVaStfOU,3475 +torch/include/torch/csrc/api/include/torch/optim/optimizer.h,sha256=-t7rn6F4vEMVKWMdbmMs6ijXwv5IvksPma8q9A8KGp4,7739 +torch/include/torch/csrc/api/include/torch/optim/rmsprop.h,sha256=_-0cYe5WqZEx5CFQbQ7kDqI8s7ErzvVf7FFJ8OSYyJ0,2944 +torch/include/torch/csrc/api/include/torch/optim/schedulers/lr_scheduler.h,sha256=IEBVve89OX_4eeCsiUE7VeImY798ivG5y1S6qH5T89U,1073 +torch/include/torch/csrc/api/include/torch/optim/schedulers/reduce_on_plateau_scheduler.h,sha256=8t2t2vNyfrOqyoilW3QMW_NgX98lyLQOU2fhhKG6Khc,1301 +torch/include/torch/csrc/api/include/torch/optim/schedulers/step_lr.h,sha256=dL77rvbqybcqFZr6FodFnW6taud9JFPFnX5kW_2b_ZY,424 +torch/include/torch/csrc/api/include/torch/optim/serialize.h,sha256=Lep7_9fyStat1UTMe9jorW2axDtUKadyE2OqDRGb-mw,12250 +torch/include/torch/csrc/api/include/torch/optim/sgd.h,sha256=5W-3wIeP3Zic4ZJRA0bwYiwMPJGzX88CHi_X4qr5uVU,2690 +torch/include/torch/csrc/api/include/torch/ordered_dict.h,sha256=LyKdAi0oHRb09ePr1N98eid4PwITHxxOwUcogYBX-6c,16236 +torch/include/torch/csrc/api/include/torch/python.h,sha256=kuyCBD7bhkzNLGIFfNFYbrUxfAJrIg9thYvLslOzFcM,9916 +torch/include/torch/csrc/api/include/torch/serialize.h,sha256=m43qeHS0ezQgxA3XGmeIFYmBowMs3UqfPCFFNWFijRU,5168 +torch/include/torch/csrc/api/include/torch/serialize/archive.h,sha256=IM8xj82javqyrkZJGayTWjrst7_FKKllzucRwSMrlos,101 +torch/include/torch/csrc/api/include/torch/serialize/input-archive.h,sha256=4n36lYcMEObL_PkPRpOwDGKIAwV6MxJ6M_LRzAJ8ErM,3992 +torch/include/torch/csrc/api/include/torch/serialize/output-archive.h,sha256=SwvplynJPXRoJFGKYnocrS4K_jelwVG0cCmiB8wd9Ow,2315 +torch/include/torch/csrc/api/include/torch/serialize/tensor.h,sha256=gEYAbqPp6R4AH1G7o4OuS-zVPY8osmtguUFfSSUt7jI,432 +torch/include/torch/csrc/api/include/torch/sparse.h,sha256=XqH3dLpwkPJzg0p_5XcJ01tnrQC98M9Fhe48Jg6KHc4,97 +torch/include/torch/csrc/api/include/torch/special.h,sha256=flCzivIWYyGJK8pygai-IAFfGMuDnFVbHT1KT40yWXM,38422 +torch/include/torch/csrc/api/include/torch/torch.h,sha256=VRdG_p1q4Y2gB0LtTmL_C4EpbrPQuvFVa-21l1wc-VU,154 +torch/include/torch/csrc/api/include/torch/types.h,sha256=87vYupO22F9us0JGpA8otsJ6T-ggDVYSLaRXaBHB410,2300 +torch/include/torch/csrc/api/include/torch/utils.h,sha256=T1WuMmWHTIEsjAwu6u04stbCbDGCpQyqDVmdvRrmIoo,3512 +torch/include/torch/csrc/api/include/torch/version.h,sha256=_PZHkGwiyLacX73IAaib7n8l36d9j7RqWMVi_gWdZNc,315 +torch/include/torch/csrc/autograd/FunctionsManual.h,sha256=_nGxVcV6e383w2fAos_yQnPoBvo4EpEleAQAqxClAD4,32117 +torch/include/torch/csrc/autograd/InferenceMode.h,sha256=d8kDqEutSiThFfKDb4bfZNE6PqNhvCG7Uek8lFHRmYQ,188 +torch/include/torch/csrc/autograd/VariableTypeUtils.h,sha256=mfYHzzhgzkslvwPReP43RIVnEc1KOaZeSDHT7u5WzK0,18528 +torch/include/torch/csrc/autograd/anomaly_mode.h,sha256=NyWZV9nTwFV4yywl2BpUhaXTZr36HSHZ5Jsgz6dysHQ,1749 +torch/include/torch/csrc/autograd/autograd.h,sha256=nppSkz3x6jD6oznA00qdOpJISqDtE_UN90OPH67iwdE,5334 +torch/include/torch/csrc/autograd/autograd_not_implemented_fallback.h,sha256=eTekgk6F_f-GMtV04_TDp51s-ZI87QcAO7MSZNBSh9Q,1167 +torch/include/torch/csrc/autograd/cpp_hook.h,sha256=k_KXHLHXbQxgx4-bU3p6vrxbjuC9MAo8AiojfGmIDOQ,890 +torch/include/torch/csrc/autograd/custom_function.h,sha256=8otQog4ViZjJVgQiTgi4kz1nlTfHVEUBHxbAff7JEa4,15671 +torch/include/torch/csrc/autograd/edge.h,sha256=kUncJ_kOlXmmgW8W8vZkMPGvkZOMDItFFy8iKUc9Jh4,1640 +torch/include/torch/csrc/autograd/engine.h,sha256=3n-IncUwgEqS7I8PkSeDJzWtzsd9Xk_H4egiWIOHhGc,10819 +torch/include/torch/csrc/autograd/forward_grad.h,sha256=QU1Ysx810Cg6bG6aITvlyjUNb9wb_EPGf9ZT6vactww,8963 +torch/include/torch/csrc/autograd/function.h,sha256=w_ukQ5BCGTOmgx9KlrCsoYj7k_tMndYqxKlxOUkzMjw,29575 +torch/include/torch/csrc/autograd/function_hook.h,sha256=rL4AF66iFi6Oodz52S8yNdFJ8a69qI_UPU_QFm73pwk,2097 +torch/include/torch/csrc/autograd/functions/accumulate_grad.h,sha256=J1Os4LQ92farCfHm7d_-11ZKBR-9f_lZepHwUOIAOzw,13659 +torch/include/torch/csrc/autograd/functions/basic_ops.h,sha256=BBaqHcPe30GCLac4nVxSuzYwX2J0fmnyMEVrVBSC3Ek,3257 +torch/include/torch/csrc/autograd/functions/comm.h,sha256=bByTQRRuBRcDLQs-ppYZVu9DaQSZaQhcyQ0zM0aJ_0k,1233 +torch/include/torch/csrc/autograd/functions/pybind.h,sha256=e6eM-r7Xrvjp2lGt1nC0SOj56u_m2u6ysd0nBlXMP0s,342 +torch/include/torch/csrc/autograd/functions/tensor.h,sha256=4PIMYpX5KrkJ1k5BRMbTswNaaef8nTO7TckZmDQsjyY,7311 +torch/include/torch/csrc/autograd/functions/utils.h,sha256=Ai6P9lyOM1ytdPqb1Mld55VboB-2r_wmuuHSJNxbIcU,3387 +torch/include/torch/csrc/autograd/generated/Functions.h,sha256=0kX02V-EBjHO2A2EV99xVFCHEMeHNy1h1jLrnfccuIg,486727 +torch/include/torch/csrc/autograd/generated/VariableType.h,sha256=HG-fUpt9E9BeOoDkxvL3N26KEgjkAHLevEbDczrEOtw,1651 +torch/include/torch/csrc/autograd/generated/python_functions.h,sha256=m2zbP4C796FvQVsVVmsXUCiz8Prj2O-pT55rbHA2NwA,891 +torch/include/torch/csrc/autograd/generated/python_return_types.h,sha256=dKLcvqOuRIdS3fi_q6TlRaJRPK8KwV1PHAA4kK54ELs,4003 +torch/include/torch/csrc/autograd/generated/variable_factories.h,sha256=wD9_Y3A06zq8yrfdmET0GvexWtJYBufK2EjEJeV8b2k,54278 +torch/include/torch/csrc/autograd/grad_mode.h,sha256=qNNCwHBeoyBTzcL3F9Hwf4z18gi-4z8efwwYPYa7eUM,235 +torch/include/torch/csrc/autograd/graph_task.h,sha256=t6qcTDMEE_0y88GgDKXdp1caMd1FcPT1th5XN0bkCss,9786 +torch/include/torch/csrc/autograd/input_buffer.h,sha256=cCSir8UvfedSvq1sGHF2s1sn-bv6Cqu4dKtNePDNvhQ,1461 +torch/include/torch/csrc/autograd/input_metadata.h,sha256=JIlD4snoxkAvICS1D77uthpmyQkmUHPRQxoxO6pKXhM,2888 +torch/include/torch/csrc/autograd/jit_decomp_interface.h,sha256=opw-1-uPLNy7p8gyzJFbl8rmTzkN14cy0vVMhlmA5Zs,1848 +torch/include/torch/csrc/autograd/profiler.h,sha256=6ArK8ksshLYFDODo91Q75_cqzFjn0mNzQ3-Tdefu4y4,112 +torch/include/torch/csrc/autograd/profiler_kineto.h,sha256=6aqVn0hRFiklzgAMGjhs-wZ5-Gwyxc1gf8Ns0sc42z8,6911 +torch/include/torch/csrc/autograd/profiler_legacy.h,sha256=rmZH38kkpYrCB4wu8e0KJyq6ElIS97GBvqZMkarLK7k,11161 +torch/include/torch/csrc/autograd/profiler_python.h,sha256=YsLFifm2J3pax9SzSQjiFKFGB9h_uqZGGDm51kmjCLo,186 +torch/include/torch/csrc/autograd/python_anomaly_mode.h,sha256=wpcoE0h4anKyvRLL3jo5RROZq_qBEtWnG31il3NKwu8,1088 +torch/include/torch/csrc/autograd/python_autograd.h,sha256=GEbmuTSFmxfprqW4HkJyxbrXuStpF1ZTVyCjkyBG8w0,407 +torch/include/torch/csrc/autograd/python_cpp_function.h,sha256=u43w-ClVmLPpxj0F5G-1P9a--zo37ar8zp2SaHo_EG4,4553 +torch/include/torch/csrc/autograd/python_engine.h,sha256=M58D9ZnaBe8qm0oedtQ7RjWUj5UXe5w5SsVS99ZwL5I,1299 +torch/include/torch/csrc/autograd/python_enum_tag.h,sha256=f-iJ3iuhKKnbVBZ0a-eY77MgZ5wUzxvHaZD59_KCMtg,152 +torch/include/torch/csrc/autograd/python_fft_functions.h,sha256=HGOynsihKKRREmXxOW2ll3KctzQsUugRhYoHYgW7-Qc,119 +torch/include/torch/csrc/autograd/python_function.h,sha256=-JNAAqr5hWS2Iw3_gwLpZOsJ2Kx7t87rVhDsFD2TTJI,4865 +torch/include/torch/csrc/autograd/python_hook.h,sha256=0I3kffjdVLygJwRwA-DObccHhhnS0IBJJAdfZh6o1Ko,2040 +torch/include/torch/csrc/autograd/python_legacy_variable.h,sha256=CZ7IY96IW0sUCUWB2R-ILXM3v2Y6xEYx1SJTAQ00Nxs,289 +torch/include/torch/csrc/autograd/python_linalg_functions.h,sha256=6GcRa82wLet52Us_Ds71h0pLKRwGSl36IqnlFjOF_j4,122 +torch/include/torch/csrc/autograd/python_nested_functions.h,sha256=HEdOrmsLcj2TkfEv4O6C62M46ZFj6Ocg4w2x9nTCrzk,189 +torch/include/torch/csrc/autograd/python_nn_functions.h,sha256=ChPPQ7OF5FFSqBmcpj31iX31n2XEj6_faSnDH-ddlKw,118 +torch/include/torch/csrc/autograd/python_saved_variable_hooks.h,sha256=sUsAdSGvn0CBymZ8Z2xnwCwf_R7wjrD7ugdIPSqCRag,958 +torch/include/torch/csrc/autograd/python_sparse_functions.h,sha256=x839uOhjfP8XTDTwtDwsZ31w5llLIKnMNXCLEB0deUo,122 +torch/include/torch/csrc/autograd/python_special_functions.h,sha256=LSbVxG6YmDKSm4xlpw6qMH4RU7RfabknpOvvJA_utRw,123 +torch/include/torch/csrc/autograd/python_torch_functions.h,sha256=YutPR_AMdL_PUwWKvYLvgBI6g6zH6J_SQS6oH7CPKt4,694 +torch/include/torch/csrc/autograd/python_variable.h,sha256=86tXuhKlI850yvlT1E-mW3tv5JXfNKJAdyWgEjppHnM,3514 +torch/include/torch/csrc/autograd/python_variable_indexing.h,sha256=Df0EOmvCQrK_H3nmVJ20LIlTe3upjndII7bh-fkWuhU,2947 +torch/include/torch/csrc/autograd/record_function_ops.h,sha256=9mJg1wxGPQIDY8f-8I_91l05MmVQ44ew5HR2X5zCMwY,996 +torch/include/torch/csrc/autograd/saved_variable.h,sha256=ezd44vFCPJhyRTyetP5o1yfcyzHwpBg9YT7R0dV1oLY,4709 +torch/include/torch/csrc/autograd/saved_variable_hooks.h,sha256=BVKrt3S_QjCFSwJLmuTYXxxdduCYqqoAHV9vwAUtP58,321 +torch/include/torch/csrc/autograd/symbolic.h,sha256=MR_4vvHKpCc6cja0iZL3MyxxBLjM6yAnJuWXRuYdPFk,343 +torch/include/torch/csrc/autograd/utils/error_messages.h,sha256=NBHVXO8V1_6xk2gwMofFfVt9nX1UCnXHi782S6zBYCw,545 +torch/include/torch/csrc/autograd/utils/grad_layout_contract.h,sha256=1-BZC91SKiZHTyguHfRDlOoBFe-yYn0ioJYbyzXt3go,2829 +torch/include/torch/csrc/autograd/utils/lambda_post_hook.h,sha256=lJoh2WBSU9N0os8dIuB8r5UExhXmjJjOBdfOLUy6yT0,976 +torch/include/torch/csrc/autograd/utils/python_arg_parsing.h,sha256=wBHtTreXkDNTNutDT29YF831A6ca_RVrEDc-7sJMMEA,1473 +torch/include/torch/csrc/autograd/utils/warnings.h,sha256=asBCrExi_O6PzdroSIjC0Qi_QMqOvE6FFQVE2fxG-dg,633 +torch/include/torch/csrc/autograd/utils/wrap_outputs.h,sha256=Mkzuop-V1dvq8MWG2ry8tV4aImv0OTx0VoJIRlBZuJ4,3723 +torch/include/torch/csrc/autograd/variable.h,sha256=5d9qZlTwp0Wfc5-YRZD6ghUjbRt26odZh5Abt2iNwSs,36190 +torch/include/torch/csrc/copy_utils.h,sha256=GlrEWpjcl8R7fqOWzeCiVe8kGbPtxdUJxgB3QP-uQo4,1351 +torch/include/torch/csrc/cuda/CUDAPluggableAllocator.h,sha256=3rFNrZYuxxZ99z5IKnofo97F4MKwaCDHck2cwXRudJ0,5322 +torch/include/torch/csrc/cuda/Event.h,sha256=FK6jWILeAE5Y3b53Eqw-pDfF0tqu-LmIiiJ3Qck7ahc,406 +torch/include/torch/csrc/cuda/Module.h,sha256=8pDIRA1_E8_dAHW0-lQ0OLcrsj39-Fe4ZspBGEr5EVE,472 +torch/include/torch/csrc/cuda/Stream.h,sha256=NSbwpHtiZP721hqIdOzwPzJOmMYNj9NKEym3S3yrd8E,446 +torch/include/torch/csrc/cuda/THCP.h,sha256=M9D-wbEcdRLxPxx-ZwChqKXx9TI1hL5GFLipfYbRHXY,213 +torch/include/torch/csrc/cuda/comm.h,sha256=lXRo8mfhOHjLywodtGB6iQIxaIkf3O8rnc8vfxx4H3Q,1525 +torch/include/torch/csrc/cuda/device_set.h,sha256=O9h0HDbZuICyDzaViL1eBeJ8kL1SDuUE1Y0L-CFMBbY,171 +torch/include/torch/csrc/cuda/memory_snapshot.h,sha256=0ItjW_rWWm_YYjKLXLkeqeJwCCoKyUZ9gBPGiIBCeDc,756 +torch/include/torch/csrc/cuda/nccl.h,sha256=KqbPFquS5vaEc2YiDcrD2rf3HtBiSet627h5ati5GeE,5916 +torch/include/torch/csrc/cuda/python_comm.h,sha256=ysrI2Zyf3DEjAUPkc6Occ3SuSd__eZnPJptRA-hiU4A,123 +torch/include/torch/csrc/cuda/python_nccl.h,sha256=yNwoyNpT1EmyYAmk9k7UWpO3aNfErizqV0QVMiFtDts,682 +torch/include/torch/csrc/distributed/autograd/context/container.h,sha256=zgh1q2ouJQbhgfE03o6OFMf45Nf7JMF6oxK9xVqpd40,6435 +torch/include/torch/csrc/distributed/autograd/context/context.h,sha256=IBra9z6MfWpxdiCMJ5ydGwu8-9i0C5RpoqYc2MZ0Ooc,6623 +torch/include/torch/csrc/distributed/autograd/functions/recvrpc_backward.h,sha256=RXUW8DHNtGmsJncR5kalFR1OlSCMXAD42xlOfHwIdFU,1705 +torch/include/torch/csrc/distributed/autograd/functions/sendrpc_backward.h,sha256=aM04SmFMzmvHhoPbr3NsSLuNMxfnXUiRxKeoFxvPaKs,1373 +torch/include/torch/csrc/distributed/autograd/rpc_messages/autograd_metadata.h,sha256=TncgZoQ3veChIuqqWIrWk3C6fQLkE4vXUX1Xbmu04Po,750 +torch/include/torch/csrc/distributed/autograd/rpc_messages/cleanup_autograd_context_req.h,sha256=MbhyDQOZTiZgJdh-0NCSQGWxJd3HP5XI78PP37DD5T4,886 +torch/include/torch/csrc/distributed/autograd/rpc_messages/cleanup_autograd_context_resp.h,sha256=IhH67Y_YeYJG89z83_eabDLtLQFc6Qyw2i_Wf3UBrD0,711 +torch/include/torch/csrc/distributed/autograd/rpc_messages/propagate_gradients_req.h,sha256=fmUaNRSlp8UCpPOrfFVOYUWHnW-tIV1jPEq4gcOrCzA,1298 +torch/include/torch/csrc/distributed/autograd/rpc_messages/propagate_gradients_resp.h,sha256=gFrx1pp9o3mjfJMi4i0aN4nIofKvDrssUgI6ulwGFkM,804 +torch/include/torch/csrc/distributed/autograd/rpc_messages/rpc_with_autograd.h,sha256=gZptHkMQkV_GKb245ZvTXGj83XygGNlc_7RPxIUi6Xs,3556 +torch/include/torch/csrc/distributed/autograd/rpc_messages/rpc_with_profiling_req.h,sha256=ud7bL1DAGkXJjrYbT3at3PrUFSndKQML0MAYZu1SQ0g,2347 +torch/include/torch/csrc/distributed/autograd/rpc_messages/rpc_with_profiling_resp.h,sha256=ZAuSpskXTGPad2W7maXa6yOAqWwM8y01iC5V7M08w0Q,2307 +torch/include/torch/csrc/distributed/autograd/rpc_messages/rref_backward_req.h,sha256=97UW3DLiLJK1AiM3gMGDCNhXTZ7RHPUOeM6MJ0B9Gr4,1027 +torch/include/torch/csrc/distributed/autograd/rpc_messages/rref_backward_resp.h,sha256=ji-yEL0BUVRR6yGLhURGmje0GdRP5m047-urW_0_HnE,558 +torch/include/torch/csrc/distributed/c10d/Backend.hpp,sha256=zjLxUWtAizuD1wgBR5dLRTjKgFOmsUtTyqpQrnov5YQ,12282 +torch/include/torch/csrc/distributed/c10d/FileStore.hpp,sha256=T57ueYyvSnyRalBp2sZ51oVvMbE5QoTIiOllsNfzuUo,1492 +torch/include/torch/csrc/distributed/c10d/Functional.hpp,sha256=egbVooSuAkkmBTza1649ZlFNo1vmqkQlU0wzclgeOuQ,315 +torch/include/torch/csrc/distributed/c10d/GlooDeviceFactory.hpp,sha256=sh1F0-6ykB0f58LitkS5CC35UgX4ts1cp2G_my6_V8o,773 +torch/include/torch/csrc/distributed/c10d/GroupRegistry.hpp,sha256=ORnhy-lFaPBqpyPhfmIgDkxbwUlIPPcmh2kx_H-HE2E,346 +torch/include/torch/csrc/distributed/c10d/HashStore.hpp,sha256=udXrv_pNQWROxlSoWaTkUONq2B0MLPcvoKCZoZpsnpw,1591 +torch/include/torch/csrc/distributed/c10d/NCCLUtils.hpp,sha256=Vh4hkINsg7bk77sy5SeAWTN8h8ZDZ5_VdrPxRXpoRqY,17247 +torch/include/torch/csrc/distributed/c10d/ParamCommsUtils.hpp,sha256=0eCeKc_uHqGulb6sNtLL6tA7_Jhb0XjZ8lsPCwIBP3Y,6910 +torch/include/torch/csrc/distributed/c10d/PrefixStore.hpp,sha256=NKWQ1DJReBBNFy8mcWU-RPbLGlzOEzgju4UFaYgP5wQ,1827 +torch/include/torch/csrc/distributed/c10d/ProcessGroup.hpp,sha256=obNadYAttQwilKy0doSLv4I1Hy4Q8_3j7_Po9YxQo74,27290 +torch/include/torch/csrc/distributed/c10d/ProcessGroupGloo.hpp,sha256=GVYDE8QF82g2czc-BIQBp0hE4CF3_P1YdTfgMLh6Bv4,15256 +torch/include/torch/csrc/distributed/c10d/ProcessGroupMPI.hpp,sha256=7sLhT6_LW9a-dj6pQ0DMCNlj__j8WsXg4pJ9lhwWq88,8640 +torch/include/torch/csrc/distributed/c10d/ProcessGroupNCCL.hpp,sha256=NfSkSutWy2kkcu2fJ0TXPWbGemErRE3zI2ndkLE9-GA,35010 +torch/include/torch/csrc/distributed/c10d/ProcessGroupRoundRobin.hpp,sha256=rkZzy9oxnV2tvUmvrd2HKSQ8bY9tES0Rr9b1BZribwQ,3803 +torch/include/torch/csrc/distributed/c10d/ProcessGroupUCC.hpp,sha256=eTtzwL0oCkjTGiD_WSbEA_UlG6hE_NltOBz4x_6UY1Q,11076 +torch/include/torch/csrc/distributed/c10d/ProcessGroupWrapper.hpp,sha256=qFWav-lfsRnVJgyczuSz_zVSFp_vojfhPRObIPfvDfY,5070 +torch/include/torch/csrc/distributed/c10d/PyProcessGroup.hpp,sha256=Ingk71EPsRbbP9H5UQAgjBceRBprHsgj7ONA3UGR4II,5435 +torch/include/torch/csrc/distributed/c10d/RankLocal.hpp,sha256=5o9t71SjJtzI8LvxdA4da1qKDp0rs7sX3lPRwPzq21I,2278 +torch/include/torch/csrc/distributed/c10d/Store.hpp,sha256=p4xMmoNUQjipN3e5R6Zpe35Lec_tEbIhcBdfhxS5CEY,2832 +torch/include/torch/csrc/distributed/c10d/TCPStore.hpp,sha256=aedElv00pdnZdPQ6wvicTMQWwdnTO4RnY8d2k9RG7xw,4213 +torch/include/torch/csrc/distributed/c10d/TCPStoreBackend.hpp,sha256=ruEIs4MbqpksSNet3BHxS1GcuFRyHuu0BX1zsJZnPtc,1573 +torch/include/torch/csrc/distributed/c10d/TraceUtils.h,sha256=pkx-ukf0zUDkZlylyKW4WzwPZrUU8miccWgOxNRMvZk,15595 +torch/include/torch/csrc/distributed/c10d/Types.hpp,sha256=PgbzAqlmGKMGGE_ngMe8QaAmwkQGJAnNrcaFT-fOvDU,4899 +torch/include/torch/csrc/distributed/c10d/UCCTracing.hpp,sha256=t3jW1WV_VfbBnKvL-vJscb1D5oZDHiqIqUoO0AjRbw0,2301 +torch/include/torch/csrc/distributed/c10d/UCCUtils.hpp,sha256=lj2dmFih-AdPgLut2cIYKQwhASWm8u8pU0hIWAF8ktU,6360 +torch/include/torch/csrc/distributed/c10d/UnixSockUtils.hpp,sha256=FH5wcycsZUd1gnRrJJPDjXrR2aMqFDQCeRlw4g3RuHs,575 +torch/include/torch/csrc/distributed/c10d/Utils.hpp,sha256=PI9ya6V0SLXlhsoBXX6aTN_uuTg1esKDmCsNNWKzQdA,22455 +torch/include/torch/csrc/distributed/c10d/WinSockUtils.hpp,sha256=-PUywz6KhM_ngjiZxYlhuAHeR_4Tz_mMGuTdb8jE2oo,566 +torch/include/torch/csrc/distributed/c10d/Work.hpp,sha256=SoeaXPTqA1RiDFeEgCWGeqEeYQPloFyosZmPvLX9-Yw,5021 +torch/include/torch/csrc/distributed/c10d/c10d.h,sha256=erw6jxQNqwf2IKaRhi9c6_x8sscxKKEFFunON2rMUwc,216 +torch/include/torch/csrc/distributed/c10d/comm.hpp,sha256=mWPMu3j-9iAORZtTpmWVEYQ2EgxD4am8gZhohrw_7ek,4346 +torch/include/torch/csrc/distributed/c10d/debug.h,sha256=ihvgjPPnKL5CIZCt-b-sG9ZkGQOgR127o9j4JnzCZY0,604 +torch/include/torch/csrc/distributed/c10d/default_comm_hooks.hpp,sha256=06hUZLCjMBO4_AHFs0J4RL5EiiA9L6226CifXpDESnQ,1735 +torch/include/torch/csrc/distributed/c10d/error.h,sha256=JLzBftaNhMRWU7kZSmqSgniRPbj2NYgg0FshAyguz5E,1361 +torch/include/torch/csrc/distributed/c10d/exception.h,sha256=YpfrCv_c9vxk2tI14aa5iHujuxWkCwUYg56v4oYHBj4,968 +torch/include/torch/csrc/distributed/c10d/logger.hpp,sha256=6LO9-LevSCeb9fv8lnnZv_S5pLw7j7SMJ7XUbxZ1HcM,4039 +torch/include/torch/csrc/distributed/c10d/logging.h,sha256=WSP7f4iQC-gr0BLEUEEpCMq74ihWIr8ERvk3fo7_LX8,2059 +torch/include/torch/csrc/distributed/c10d/python_comm_hook.h,sha256=3C91AuADu-mZPOuxjNWxQywWOdp0X94yf4zbPjR3M0w,1072 +torch/include/torch/csrc/distributed/c10d/reducer.hpp,sha256=1u1OMEya3P_rHaWvVaf46w9ocDb-CspJ2aRNaQ-q1RU,25686 +torch/include/torch/csrc/distributed/c10d/reducer_timer.hpp,sha256=i3hNCDGat_8DIMHFo22ds9x34SylX2q9Vu-WELAi_tU,2374 +torch/include/torch/csrc/distributed/c10d/sequence_num.hpp,sha256=uWvHaIvAecQ7zn-y8Kmf4LZaAHJUSY63pfNZiE2s-dw,1681 +torch/include/torch/csrc/distributed/c10d/socket.h,sha256=zmhDv9eV41kBlUO_DIaMXg2GmgQMsZg421jUjxsTYw8,1949 +torch/include/torch/csrc/distributed/rpc/agent_utils.h,sha256=GnT_Z5VBQjr8MX54ju9oIuXlpk1O5jpK2y0aXQmbPUo,1679 +torch/include/torch/csrc/distributed/rpc/message.h,sha256=oaI15j4VSm5zxVTJOa_6FU3KyDO5FZ69PfGfBRjOoUY,7527 +torch/include/torch/csrc/distributed/rpc/py_rref.h,sha256=GODl5yeelFByzpGpqblc9_Jrp8_CAnc8ktocR1oH7u8,2974 +torch/include/torch/csrc/distributed/rpc/python_call.h,sha256=1bv2_SQ8WO3BLQ-zMvxolVxg3ArNg6toYV0ywRu3vGI,790 +torch/include/torch/csrc/distributed/rpc/python_functions.h,sha256=8PZagDa_TzingCPHkA5aGBKOXlofGBgZ4eZfJ13j-js,2307 +torch/include/torch/csrc/distributed/rpc/python_remote_call.h,sha256=t5bZ8LEPdFaExO1hjAB84XpPc2Y5PIMbx_pivlmPo9E,1184 +torch/include/torch/csrc/distributed/rpc/python_resp.h,sha256=O5D6odFJ7rq6eSS_Fi1-C0ZcvVo0LjRH6zeFpYUcsRo,671 +torch/include/torch/csrc/distributed/rpc/python_rpc_handler.h,sha256=K8Qj9yBgc3bZkm7deYH-GBtTJp-eLVrKvwb9lTmJ1Bc,5004 +torch/include/torch/csrc/distributed/rpc/request_callback.h,sha256=4-1Sw97hE7yz9R37u9zl-uLBy7ta79e__aJxhbWilrA,1276 +torch/include/torch/csrc/distributed/rpc/request_callback_impl.h,sha256=P-mVdApnXGcv_y8DLV_6Ph1TayWQ1enHNyvwb_I9-Ng,2083 +torch/include/torch/csrc/distributed/rpc/request_callback_no_python.h,sha256=9J1RGGdk15tVTrL5uagB8YmeQLTXwJBYUPdf0RGuAb8,3884 +torch/include/torch/csrc/distributed/rpc/rpc.h,sha256=N4T_NaiHmxQeggJ6YGReFOmn-wCGETZtAH73cA6EhLU,214 +torch/include/torch/csrc/distributed/rpc/rpc_agent.h,sha256=kqT5bqHLqgobqYaO5oux8SnHH8jA5BfOgw8KukjUN90,13455 +torch/include/torch/csrc/distributed/rpc/rpc_command_base.h,sha256=Ob5xrnMaMwDaUQJ3qhqL-6FZTlWoHI8r6CJnRTN-l0c,728 +torch/include/torch/csrc/distributed/rpc/rref_context.h,sha256=Tnnm_juvLcIk1jQAZRDq6bvMDKgtoP9GDIw2uMmRDSE,15829 +torch/include/torch/csrc/distributed/rpc/rref_impl.h,sha256=fQ4lJ7Ijv52m5VxftqCounwEa4xMUzhqRMkAblh5Sds,16159 +torch/include/torch/csrc/distributed/rpc/rref_proto.h,sha256=KinBpxjMtL0tJUCLI9LfKigZA8gZLBY1IYsprPHJbDo,5290 +torch/include/torch/csrc/distributed/rpc/script_call.h,sha256=2FZh-ZZTT7Kik4zdRUh9nYqSaU536VprEpEc9qavoMA,2527 +torch/include/torch/csrc/distributed/rpc/script_remote_call.h,sha256=WV-k6jQJ_tjJzxgs_ZI6fyg16BLxctgIrubBrnuX73E,1652 +torch/include/torch/csrc/distributed/rpc/script_resp.h,sha256=hMiCaxdFPYYGYFOaRRNOd-tTvNrD1T36iv-7AkwJIP0,678 +torch/include/torch/csrc/distributed/rpc/tensorpipe_agent.h,sha256=LSIuGtoRYl3rCy4BJHRgpMpMBMPexuiufgs2l6_iTfQ,17425 +torch/include/torch/csrc/distributed/rpc/tensorpipe_utils.h,sha256=sknl7T6bTYplJkxBDWQVv4g6Ibd8tuUfrfGnyMTnFCg,4748 +torch/include/torch/csrc/distributed/rpc/torchscript_functions.h,sha256=K0HI8ZzP5aVn-TLRAU-vPP6b0wdZry5ZLtKHO8_DAV0,1707 +torch/include/torch/csrc/distributed/rpc/types.h,sha256=2KJn9XcBlAW-yiooYMO6RhmIgWup6Th5cRT-b8lhq7Q,1720 +torch/include/torch/csrc/distributed/rpc/unpickled_python_call.h,sha256=IZIuhgkohRn4Mt0REj3pwcTj4MC5p3OYkS9DXHo3I-U,1367 +torch/include/torch/csrc/distributed/rpc/unpickled_python_remote_call.h,sha256=yEFoq8rsnBFPy_9gvzQ25oukqoV7KX_S5RqutvfUrQw,1257 +torch/include/torch/csrc/distributed/rpc/utils.h,sha256=bpmEULAaBqiQXZ_om3jMieazn63WWndj-vLbzl_j9M4,3840 +torch/include/torch/csrc/dynamo/compiled_autograd.h,sha256=EykbfYQ-8SsJph94uKoRppODnJU8C5Wi7gvwMPsI-20,20475 +torch/include/torch/csrc/dynamo/cpp_shim.h,sha256=6a8TJKtkFG1PUMiE4-CmkRNSmrbHi7IWmiGn49yEb8o,357 +torch/include/torch/csrc/dynamo/cpython_defs.h,sha256=l9EsmSzRhW9dBygsZthao89ni_2bRuFWlSOm2NTF8-Q,539 +torch/include/torch/csrc/dynamo/eval_frame.h,sha256=rWda96edXeTJwxOuJx7_Bu89OK8QSvq1SgssJ6Ytqdw,130 +torch/include/torch/csrc/dynamo/guards.h,sha256=ldc_4mwpgjLNawNtaK-XilkAq9jRkDzTbkwv9eJl20w,93 +torch/include/torch/csrc/dynamo/init.h,sha256=cax7oU9wYrOa2TEEFgIdCUlekGiLbXPDq7GaAJsp0-Y,250 +torch/include/torch/csrc/dynamo/python_compiled_autograd.h,sha256=dFWRhXaGLZEKOxIRw_8aJK_qTrhZkEf8iUOAmg2a7PU,215 +torch/include/torch/csrc/inductor/aoti_model_container_runner.h,sha256=r_6oXJGH8crCWn8KrG93xyhjuwK3N4rwCEtQZ5agNnw,2183 +torch/include/torch/csrc/inductor/aoti_model_container_runner_cuda.h,sha256=qPR7aTltq-4-otHaXk6B1xGf0c2RrtWqa1MrpZ6o_ts,632 +torch/include/torch/csrc/inductor/aoti_runtime/device_utils.h,sha256=nf7kENi6HWJMPpcCphBTGGebAq7c_zhfTVNa2QJ7vPE,1553 +torch/include/torch/csrc/inductor/aoti_runtime/interface.h,sha256=XxJ6ehGvVIgb_whHiR8gvlGrVefFkFq2SDT7GK_Mvbo,5099 +torch/include/torch/csrc/inductor/aoti_runtime/model.h,sha256=9Ho9QvKR38Fv-uWiydD8lQ9DbIMIQj01tTE_TA1aSvE,15686 +torch/include/torch/csrc/inductor/aoti_runtime/model_container.h,sha256=KWnZIgVgKQ_dVD9lWqwj5Zv9Jc11CEKEv7Pxa5E0YL8,6232 +torch/include/torch/csrc/inductor/aoti_torch/c/shim.h,sha256=s9oqLjLWmgxW61-vD0EYy1WYltLk_gVyv97PhiBeYMA,12084 +torch/include/torch/csrc/inductor/aoti_torch/proxy_executor.h,sha256=82JGBwnR7TZVr8EfjKP_uTjdKt-71EzCouFTB4MKgdM,492 +torch/include/torch/csrc/inductor/aoti_torch/tensor_converter.h,sha256=b79wL9Osu-L2EYx7rBw1ENbAwy6LkHEAM9Z_SeCkdng,1283 +torch/include/torch/csrc/inductor/aoti_torch/utils.h,sha256=6E3QJD22KKQ4KUEKTtLB0YNPDuhJi03nzORW-oe5GMI,735 +torch/include/torch/csrc/inductor/inductor_ops.h,sha256=twizse1MiD7FKxU5mt9crYW-MfHVj2yiRYD1Vium9wE,798 +torch/include/torch/csrc/itt_wrapper.h,sha256=q7S67CSvKcGsOovE3d8aPSCLxCdH41OWVHTq4Unq0R4,345 +torch/include/torch/csrc/jit/api/compilation_unit.h,sha256=WIL8gBuLNyDUT_YQn3DHj-sg7rit5k_GEJuBiA9X1kw,11708 +torch/include/torch/csrc/jit/api/function_impl.h,sha256=e6SiOva0KYm1m24xIcY75jFRVPRFYmwY8LvrUNh8pRM,6110 +torch/include/torch/csrc/jit/api/method.h,sha256=SoeNmxW3PeepX3kSvN2lzYRxvTH1KU63vk9jJdzOZzI,2236 +torch/include/torch/csrc/jit/api/module.h,sha256=aAf_EOkBBd9ytJ9tImFr5-iq725yGDMt-Lw3ZYI6sow,23633 +torch/include/torch/csrc/jit/api/object.h,sha256=EowprhMikdDkZZYYYeb7Nm8FPxE3bbOQbuZR3eo-Fmk,6074 +torch/include/torch/csrc/jit/backends/backend.h,sha256=xDYuoy_lXkz4x7kY0SaBVjG5VFun4DcW3X7m2LLPVXA,4060 +torch/include/torch/csrc/jit/backends/backend_debug_handler.h,sha256=TZD8_Eh1PHjAAvOMbC5--eBNGHO5NkhEaeGUvJ18KeY,6332 +torch/include/torch/csrc/jit/backends/backend_debug_info.h,sha256=kyVKooxs8i3KpU61nkyqQvPgqBrBXVn8ngsuEuB1tDg,2338 +torch/include/torch/csrc/jit/backends/backend_detail.h,sha256=3Vwqochwvvj1Hx_gOf2fQX-tIB-LyLfQV3d9bVffXFI,1104 +torch/include/torch/csrc/jit/backends/backend_exception.h,sha256=TkQle7sRjMI5lqbkadTp9Sme_CyI8iMWJyQSOPK0mDw,2085 +torch/include/torch/csrc/jit/backends/backend_init.h,sha256=oO64G0Ay0hdQtUeGSgXccDAWxSZ49bw_0wKNahGjM-A,277 +torch/include/torch/csrc/jit/backends/backend_interface.h,sha256=hMNGdVeLdZuOSTPMlTlqoT1hnWrq7UuwsOLcGr4jp_8,1184 +torch/include/torch/csrc/jit/backends/backend_preprocess.h,sha256=VfwbX1X0kyR50iKhCqbsdrp8a43AYaEMpIC6VxD51DA,438 +torch/include/torch/csrc/jit/backends/backend_resolver.h,sha256=fcuqo_lthD5E7OM7nY57kLXUNzMTiMcAe0GPpr1L9qE,277 +torch/include/torch/csrc/jit/codegen/cuda/interface.h,sha256=wT2NC-AX4H16CeKIs8moB7revz07jSlZ8LtaoJ13xdU,1929 +torch/include/torch/csrc/jit/frontend/builtin_functions.h,sha256=AVlrJ-b0oVDOLO61-JPdz58odNIX4ZKzWgQPodF2qS4,240 +torch/include/torch/csrc/jit/frontend/canonicalize_modified_loop.h,sha256=KDS5czTQZUWkzlEp9XWnfi_iGkrf1tz1c5tR5VBA6XE,312 +torch/include/torch/csrc/jit/frontend/concrete_module_type.h,sha256=ucw3LZttusKvyS30p2m1RTyqS_efrR4qAZjOPZWFlOw,9062 +torch/include/torch/csrc/jit/frontend/convert_to_ssa.h,sha256=R0qk8fX4o8qqoZChkzL1O-0w_Pqi9yLos1N94l1zINo,327 +torch/include/torch/csrc/jit/frontend/edit_distance.h,sha256=hm4zRJY_rs1ictYlvmm9yzqNe0_pJHiDBam8ZET6I-k,254 +torch/include/torch/csrc/jit/frontend/error_report.h,sha256=K0HHBIcTvXMQKQaSvDJCxnp1oArhPLDqv-3Zscxc4rM,1485 +torch/include/torch/csrc/jit/frontend/exit_transforms.h,sha256=_e0F3TGVaSwWOEqyxAFLiq38HI7efc0DF6zHW21U7tA,218 +torch/include/torch/csrc/jit/frontend/function_schema_parser.h,sha256=eBBIiNTDxFE2LJUycMeAmRGfm8VM3vzqCTfugsZVVWg,452 +torch/include/torch/csrc/jit/frontend/inline_loop_condition.h,sha256=h8ReUR0lKOWoGr8lqFai3wXpr73KsRl_-_CYm_ymmzM,352 +torch/include/torch/csrc/jit/frontend/ir_emitter.h,sha256=VLPmvzzJjQ0JcVDcWzHF-1Ey1UhwxYuEdzh3YvW7Ws4,541 +torch/include/torch/csrc/jit/frontend/lexer.h,sha256=9cFy8ZyYmi_fXr8ypJ0dcyrBEqQ5NWso0BDbiufmS0k,19277 +torch/include/torch/csrc/jit/frontend/mini_environment.h,sha256=pJjTC59f5wTwfx34DrhgDdhC_EnvmgSR_t7xdn5A3G8,1400 +torch/include/torch/csrc/jit/frontend/name_mangler.h,sha256=WZ0hpgm_eCuCz4vjG8TBoIe6tcQsNdoavAu6zfHHoas,655 +torch/include/torch/csrc/jit/frontend/parse_string_literal.h,sha256=Cvmixjh0Y3L4tJetodepR5wCivpNqG3QabyzxIlYMPk,2295 +torch/include/torch/csrc/jit/frontend/parser.h,sha256=sVpCoMJTlmElqG-8u3p-zu0gI8sMq4eTZr2wG9aZPp8,674 +torch/include/torch/csrc/jit/frontend/parser_constants.h,sha256=ENeKl7-wM4ljDf2sR_qynnnCke8d4YrCyxKxM5OmSwc,162 +torch/include/torch/csrc/jit/frontend/resolver.h,sha256=trmkoyBkAYPjpFaoiFRzrRoy2T2EsFjQ0dfLq1HX6OM,1982 +torch/include/torch/csrc/jit/frontend/schema_matching.h,sha256=FHsOUlG32SmTxAtdzrzR_qiICc-nCgMGP0NOhOlzA0M,2133 +torch/include/torch/csrc/jit/frontend/schema_type_parser.h,sha256=sm4sYiuNkTRR5L1DhEPYhLJlzfjD3QjUgHVYaW_RVrk,1113 +torch/include/torch/csrc/jit/frontend/script_type_parser.h,sha256=b-h83jh5VK4LOl4eAPJck2Rx27lz8I5xOVhKZ2hd6ME,1605 +torch/include/torch/csrc/jit/frontend/source_range.h,sha256=0cBO-7o1gjWztoCKCDVqhtBwzwua0fXSfDnFxjQvjh8,12911 +torch/include/torch/csrc/jit/frontend/source_ref.h,sha256=mQU6_nrLmy8_zun717SNW5zEk2HinnWka-IulgKRzx8,1319 +torch/include/torch/csrc/jit/frontend/strtod.h,sha256=pXNpI58EBYdQ3B43FJ2TRkmlVHfz8BNAK6jytZOq8Cc,241 +torch/include/torch/csrc/jit/frontend/sugared_value.h,sha256=SxoXU8IJAala8uBSxD1f5tSWKfzCSvxdRwtb4tERvhI,27854 +torch/include/torch/csrc/jit/frontend/tracer.h,sha256=PeVYoS3tsudlpevnBgu0T-zUfjowW01hTJB85gh8Nco,12838 +torch/include/torch/csrc/jit/frontend/tree.h,sha256=Hwx3oiz_Kup-c2ifkPXAKIqATBO0pMMT1IZqG2CCkGw,6629 +torch/include/torch/csrc/jit/frontend/tree_views.h,sha256=RgPY077JgUQxPUGePV8va8IWS-D4OuqxEmfJW4CHzUI,37251 +torch/include/torch/csrc/jit/frontend/versioned_symbols.h,sha256=xXzAecqTP-NZNhpiTNaj6m3FB0RNFMBXFbPFckccTac,620 +torch/include/torch/csrc/jit/ir/alias_analysis.h,sha256=msqO1uNUHsicIEfw_zIVEpAPSRkRtijzVTZ7j-3vQtc,12850 +torch/include/torch/csrc/jit/ir/attributes.h,sha256=LPBugSzeY71fM8aRZVxa0iDQxDnJBC1R9TT5wxeCpb8,4929 +torch/include/torch/csrc/jit/ir/constants.h,sha256=qAC1OnN_rm-8xH_4juy7AOnZdsYFPwczzVdgA2kAMY4,2032 +torch/include/torch/csrc/jit/ir/graph_node_list.h,sha256=ROrVM01XWiDtqL8s4SuTTZ8QTt1-iH0B8e90VhU_VZE,6379 +torch/include/torch/csrc/jit/ir/graph_utils.h,sha256=fGLGBLy7HdGihSpojxmzUD_8G4apDLx2_RtIicwXnaI,529 +torch/include/torch/csrc/jit/ir/ir.h,sha256=iuMYymBN_AF7rkBd5R9SK0M0fgsYke6CNmaS9FahSqg,54292 +torch/include/torch/csrc/jit/ir/ir_views.h,sha256=jrgHLunPvnr0xgp5_wnHZ-C20pO5NKXcvTVAVDzKqHo,4648 +torch/include/torch/csrc/jit/ir/irparser.h,sha256=yGP_Lk9W6HQzdG46CO-FUsO3VRupORJUrhqGlbmTu54,1163 +torch/include/torch/csrc/jit/ir/named_value.h,sha256=J4DYk967jjDBO1trFk6aW_aoaKR4OIY0fl-4e70i9UI,2434 +torch/include/torch/csrc/jit/ir/node_hashing.h,sha256=YFHiWACcNrteucwRCbQuBqwo0bQ6vPaatKkCS0Sb1kk,290 +torch/include/torch/csrc/jit/ir/scope.h,sha256=5GHfy_ImrNC3HALRK6A9koS5eh9seIo3KsAXGTMvhBM,7184 +torch/include/torch/csrc/jit/ir/subgraph_matcher.h,sha256=OjnS2hW2wVTE9bEtceHHLYDnKDXdf9WjhhN6JIJsxaQ,3151 +torch/include/torch/csrc/jit/ir/type_hashing.h,sha256=SKEP-8m8LiQ2SKbCsW5jcc6SUBaNuJe84ffZgZeMf_c,449 +torch/include/torch/csrc/jit/jit_log.h,sha256=2p4Ppro1HDAmnxlM47hngRqg6FfCQU5T__uV8MAm99k,4798 +torch/include/torch/csrc/jit/jit_opt_limit.h,sha256=3OVvSgL6igVN0RBsYvr4zbh8I5TXfVE19Z_6jyRnd9A,1406 +torch/include/torch/csrc/jit/mobile/code.h,sha256=62BWHvvHgPV_pnoW-SBPhuUKZdIuubijOFSsL9C_QLw,1186 +torch/include/torch/csrc/jit/mobile/debug_info.h,sha256=NcSePALty2KoLYfTv0MxV4KTXeo4QUNO836vMOH-1Y4,2230 +torch/include/torch/csrc/jit/mobile/file_format.h,sha256=clDM2z4imtoQhsBtmJ-rhKSrx2PzZsqIKpePscxRYzk,6632 +torch/include/torch/csrc/jit/mobile/flatbuffer_loader.h,sha256=zYDQ1pUpGjKh5DoDmoS_GMy7RzL3hLs6QX4ieT2g33s,4999 +torch/include/torch/csrc/jit/mobile/frame.h,sha256=kwuJkqJgEXcf250eDsvsH158dDnHU8Gtq897jfIFI7M,872 +torch/include/torch/csrc/jit/mobile/function.h,sha256=JI0VdmPN2Cqc_hNDUkDl9cVP3l54pdNCYv7Njya7lSA,2900 +torch/include/torch/csrc/jit/mobile/import.h,sha256=9apUoiMBiKpO-Fvq6Xp0WezxhQAKEfT4o85JHyd7-Es,3937 +torch/include/torch/csrc/jit/mobile/import_data.h,sha256=69bhaeCTEbcK_L6ttdN96VAJlnyLOCE7ks7mDDiwLjo,1031 +torch/include/torch/csrc/jit/mobile/import_export_common.h,sha256=YxBhRTweGOwndHx51WdgG8p-zwiW1ciVq5xQKtIP4lA,554 +torch/include/torch/csrc/jit/mobile/interpreter.h,sha256=HEQ5f8LM3wbjCpCbbO2pcXaqsycRegY0VfHyZ0jeyak,688 +torch/include/torch/csrc/jit/mobile/method.h,sha256=2MU0r3XL3q2QQMSSLRsjiXG-4Z99L7xdWPnLsFYN5oA,874 +torch/include/torch/csrc/jit/mobile/module.h,sha256=ePtNzhIiVIDz5QQP8v2T8p6gqWi1aH3NgsTcaQxIM8o,5977 +torch/include/torch/csrc/jit/mobile/observer.h,sha256=GhQYLhyUPbiIkVzBO2PcZRyo44G8yIoVwtLEzZ5iaLY,3637 +torch/include/torch/csrc/jit/mobile/parse_bytecode.h,sha256=pCwodDUGgtuCT7B04ekzdQuL-del6GFM_J96lMQLr2g,790 +torch/include/torch/csrc/jit/mobile/parse_operators.h,sha256=Jc3g63GerzBC2WRNw0J_FOOwE-paeyFhVqB2R-lSN1Y,734 +torch/include/torch/csrc/jit/mobile/prim_ops_registery.h,sha256=ggZkB-iiTO0RMW1ztdKNbmTaVy6eKOZc1W3gMxegQzw,645 +torch/include/torch/csrc/jit/mobile/profiler_edge.h,sha256=w9NwGZ3w45Su6RUxyWYPszzrgSW81H8ZRClbJFgFzBc,4538 +torch/include/torch/csrc/jit/mobile/promoted_prim_ops.h,sha256=2U3bNnj7C8Ypwc5qbE5bFwz-3jUCRVLiXYRSsKXzT48,1068 +torch/include/torch/csrc/jit/mobile/quantization.h,sha256=JALhO7vuLyehdCe5ecPAbi_X-WePiAqzoYUl3u_mrKU,1288 +torch/include/torch/csrc/jit/mobile/register_ops_common_utils.h,sha256=6t9gPu09zWRXoMNIUCWdFvUqWuSmZsLajsNEwLoSI1E,1683 +torch/include/torch/csrc/jit/mobile/type_parser.h,sha256=SHCUMNas3tT6nlP66FwPGAoXo0rYsUKhaLCVaM7amqg,1443 +torch/include/torch/csrc/jit/mobile/upgrader_mobile.h,sha256=gEz8k62qjg2D9wxsfKD4FA4NmkNCXwNvodfpQKk4VLY,981 +torch/include/torch/csrc/jit/passes/add_if_then_else.h,sha256=DAC6-vToJ6fqyDhCvW78_3xSrMS3SAjsMqJTvb20O9M,188 +torch/include/torch/csrc/jit/passes/annotate_warns.h,sha256=KKMFM5nOCeVUKI6x9Kx223EEfUU5uM5kxJc9SZtBE_Y,192 +torch/include/torch/csrc/jit/passes/autocast.h,sha256=yFwOAQHPjDG8Zl_N0VkzmNGyX3Lnfx3eHfVose3D9cY,267 +torch/include/torch/csrc/jit/passes/bailout_graph.h,sha256=_N5B_8WJZ9OdHgGnKuPBiCqoxzlO54Y_k3SflT1WTQ0,1115 +torch/include/torch/csrc/jit/passes/batch_mm.h,sha256=x6DsjOKNXdXaQ_EVz9FKqf281Mmcn_SlA8LR2AVKikk,163 +torch/include/torch/csrc/jit/passes/canonicalize.h,sha256=ZEyVhzOh93JtrRAhb0sAkiH-KuZjVrYNAqL5Tn7oST4,492 +torch/include/torch/csrc/jit/passes/canonicalize_graph_fuser_ops.h,sha256=JRZ3Ldx0_3FUSVJ78o6yOVY6R7QL61vKMjyhZunwuv8,177 +torch/include/torch/csrc/jit/passes/check_strict_fusion.h,sha256=LE5ekWMi5KGUqh2ipZu7gHNd9fam3klyXmdpuNV2HHo,191 +torch/include/torch/csrc/jit/passes/clear_profiling.h,sha256=-7lka-w2NHHFaerEJfhkYor7wbgLMM8KYR_hlddKw_o,493 +torch/include/torch/csrc/jit/passes/clear_undefinedness.h,sha256=R3EOnJ2wgDGo3we5MJMA0loCWMGcHHlm8oBdwcj_HtQ,875 +torch/include/torch/csrc/jit/passes/common_subexpression_elimination.h,sha256=z7IfjAQ-MGLf5HIehx4nAl4XovJz0lp_Y4mmfIK0g3s,194 +torch/include/torch/csrc/jit/passes/concat_opt.h,sha256=wHxXr7R_NTiKqG_SH3wIdQXJLldX24uwbYXd0Ftgiw4,550 +torch/include/torch/csrc/jit/passes/constant_pooling.h,sha256=N1a2ZiNietyOW2zvh4tSQDsdUYMaUzqla0kLVcd5QP0,177 +torch/include/torch/csrc/jit/passes/constant_propagation.h,sha256=1j-kQDzw_opHRRk57bQl8dP5AF7g8jM_EudrssU5ecU,1314 +torch/include/torch/csrc/jit/passes/create_autodiff_subgraphs.h,sha256=ZPUno0m-_ig3FWPau-Gu9YYaJT4gpqPmhZNCBlZDjpk,538 +torch/include/torch/csrc/jit/passes/create_functional_graphs.h,sha256=23H8y-a2uENpTHKTKZgR6qyIGtsHQKRu2uq-zEBdih4,309 +torch/include/torch/csrc/jit/passes/dead_code_elimination.h,sha256=qCIO97-UVqUaVmO9TyFEt_Mh-oq2unIM-J96Y3_0YbI,1584 +torch/include/torch/csrc/jit/passes/decompose_ops.h,sha256=9DiAUdCsDCp2tvCNck4UQR5A3U8An4bQuS8LTyubXKI,168 +torch/include/torch/csrc/jit/passes/device_type_analysis.h,sha256=IgrD5iDdKcjyoV8XMLb7KewwT5KhVt-CHk-FqkmEOEw,267 +torch/include/torch/csrc/jit/passes/dtype_analysis.h,sha256=9B7Y_vRJuZwXl-ZJYi8AUQlc7N6Czt4u8iA4PyXYcL0,414 +torch/include/torch/csrc/jit/passes/eliminate_no_ops.h,sha256=N5DsEvyhU0qBslYnpXFRvPZglSKB55Q3erS1MjBHpSo,517 +torch/include/torch/csrc/jit/passes/erase_number_types.h,sha256=yvp_ZBONBL3Xozskx_wm4B7hS7ypKxeILnLtpfKTQ7I,813 +torch/include/torch/csrc/jit/passes/fixup_trace_scope_blocks.h,sha256=U-HcU_4QjcksygXEtBVU1L13oS0C4KdEQ5GJ8JthB7U,1673 +torch/include/torch/csrc/jit/passes/fold_conv_bn.h,sha256=xb32jMMakR_ffR57TLS9g4OCBwREFWdPy3y35roa_ps,995 +torch/include/torch/csrc/jit/passes/fold_linear_bn.h,sha256=hW-uQYBv1a1i14Tdk52iOEtWylD-euOXo8oPzrDkiPw,691 +torch/include/torch/csrc/jit/passes/freeze_module.h,sha256=vw0opmLQ8AibD97GDtBCwm0bjBjA_a59xXLVW4wom5Y,1244 +torch/include/torch/csrc/jit/passes/frozen_concat_linear.h,sha256=Fdv0Z583wh9P1Ihq36kJ_f3GLpMcYRLlP4u-TANvmrg,277 +torch/include/torch/csrc/jit/passes/frozen_conv_add_relu_fusion.h,sha256=YBS8fWI79Kur0B2Znhh6nJNJ3L2lO7exOX4ZvDaMpwg,329 +torch/include/torch/csrc/jit/passes/frozen_conv_folding.h,sha256=5xHxXQaNmMTPdXN_G3-EdI3pE7SY5Z_MageAzgGI6hg,872 +torch/include/torch/csrc/jit/passes/frozen_graph_optimizations.h,sha256=UVQJPftcQHum-aAWrqel1lbvTuG4hHdKIxn99d8XHT8,466 +torch/include/torch/csrc/jit/passes/frozen_linear_folding.h,sha256=BNXMiKccojRWescayYkJkSQ-Aw5417JYiWQYdNHrDbU,370 +torch/include/torch/csrc/jit/passes/frozen_linear_transpose.h,sha256=7LvwiTSd1qMiJmGzO32Ctu7SYvxxN7ID2obA52JjNn8,286 +torch/include/torch/csrc/jit/passes/frozen_ops_to_mkldnn.h,sha256=zl66-XDYCQz5VMjOD80CkBNThHRtUi6MpTOMyNqPJ0o,414 +torch/include/torch/csrc/jit/passes/fuse_linear.h,sha256=gWla8he_7p2nhpOTClUukGPUueF_g7uumqJSC2XkyK0,768 +torch/include/torch/csrc/jit/passes/fuse_relu.h,sha256=hVpx9P8NMSHI5IlJWKSpNEfyatDQu1nvyD1TjABKxrU,273 +torch/include/torch/csrc/jit/passes/graph_fuser.h,sha256=B9J7gGOT6S-9UXb-ltZg5FOSvofsJmD5VrEAOKz8mHc,1251 +torch/include/torch/csrc/jit/passes/graph_rewrite_helper.h,sha256=wPXekaV5ck3jXNQSZlnuB56t2-qzYCZo_LjJrZKE5_8,1785 +torch/include/torch/csrc/jit/passes/guard_elimination.h,sha256=IOvzzo6_RvAthO1dhIYG-iIAv_MOGmBDHwAtenxQAy4,376 +torch/include/torch/csrc/jit/passes/hoist_conv_packed_params.h,sha256=RPdZCCa3I91wwEBruCktQgdtFT_skrNuaHAbVXwRpTI,211 +torch/include/torch/csrc/jit/passes/inline_autodiff_subgraphs.h,sha256=H5j-cg-2ky6V-m57XOMhLX0zdBI7w8ANRI2B5Z33kJY,275 +torch/include/torch/csrc/jit/passes/inline_fork_wait.h,sha256=REGVjC2nZkSpOcU3VOjTrw6zF_eZwZJxusr29UYQTsk,547 +torch/include/torch/csrc/jit/passes/inline_forked_closures.h,sha256=mhDh_9YO33vqMeqa9QsmNMQHxv20uIUO1WuGW2cdvBo,227 +torch/include/torch/csrc/jit/passes/inliner.h,sha256=ZBquqjU2bC7v0byu_sV4Od74jTZyCh8W79_F0_Gu1x4,254 +torch/include/torch/csrc/jit/passes/inplace_check.h,sha256=xijQSXw2abZOHPa_uLlXIvbSpzeK0cVmStxC7ahL04g,168 +torch/include/torch/csrc/jit/passes/insert_guards.h,sha256=oXa4a7QXBbPJDriOCJqC64tViTScnHbN5udldzv9Je4,439 +torch/include/torch/csrc/jit/passes/integer_value_refinement.h,sha256=N5jGBQswN7vU8fMv09tUxDq1E7oR81L9697fz9DH-yw,234 +torch/include/torch/csrc/jit/passes/lift_closures.h,sha256=6RyzKF8TFcBVUMNoqKlmxGFQrSj8DhHldVGJCs3dI1M,222 +torch/include/torch/csrc/jit/passes/liveness.h,sha256=IYGAyOoJX00fvvPlpBjBNr7RYVk_vVB95QYHRye3fEc,649 +torch/include/torch/csrc/jit/passes/loop_unrolling.h,sha256=qI1uHjW9dgWoGa_iZY_4-VhT0gGli6KY8MqWk7b-4GA,1006 +torch/include/torch/csrc/jit/passes/lower_grad_of.h,sha256=lQlKvI1LTZ5jSQp8VB7SkklnxoSLeTcRRoQQB0Gvt6M,348 +torch/include/torch/csrc/jit/passes/lower_graph.h,sha256=HKZxM64wjqRanSbpfLfBJATMpgTDGhFGSZt0pgKu67k,750 +torch/include/torch/csrc/jit/passes/lower_tuples.h,sha256=-LvG4dIykeTo4kSbPF5_zFlyBNfoi9vcOCa0gdLTjWs,666 +torch/include/torch/csrc/jit/passes/metal_rewrite.h,sha256=25_wn_jqFV151KKR7c7NcU62VysR4u0c6xLQGYV268Y,606 +torch/include/torch/csrc/jit/passes/mkldnn_rewrite.h,sha256=8MsnoMbkQT49r3IF6pSrQzkQIOpOP2wTNlFedRYvcD4,630 +torch/include/torch/csrc/jit/passes/mobile_optimizer_type.h,sha256=FkImh2z2c2osMwsZ-dCA8wQysofiETWhhZMbcDg54Ek,237 +torch/include/torch/csrc/jit/passes/normalize_ops.h,sha256=Le1kIVBt2PrVmUG1i5Cf-U2ueWGbFKBD_RgIEgqhVXg,536 +torch/include/torch/csrc/jit/passes/onednn_graph_fuser.h,sha256=rCzyjTE1-mcYOVqYmptlgpEuT1TstYOxwvXtbkVtbHE,1448 +torch/include/torch/csrc/jit/passes/onnx.h,sha256=N3n2zcTYshoDjiSe8039jm5QZYKoS_jGwezIQGd3fnk,867 +torch/include/torch/csrc/jit/passes/pass_manager.h,sha256=3BQsxmJ8XOJMIMEZcGJmrI3uR8IPfoOvwB7-EPGt45Y,4574 +torch/include/torch/csrc/jit/passes/peephole.h,sha256=yqP0A71Mwk5xZKGkwOdLbz4RgIQJ8nFvwWOvDzaUNgw,507 +torch/include/torch/csrc/jit/passes/peephole_alias_sensitive.h,sha256=nfw9Xwcc-zhyIgnTsV2TWJrWxCHA0rRcHRwlpi8fc4g,435 +torch/include/torch/csrc/jit/passes/peephole_dict_idioms.h,sha256=NaZa85lCmoaqYSYwwypKKscSSeAIASgPy1V4XNOcTWI,1000 +torch/include/torch/csrc/jit/passes/peephole_list_idioms.h,sha256=__Zp475tWI1tSo8fzTqx3O5RX4ZuRJTfzGlK_yNPKWM,2003 +torch/include/torch/csrc/jit/passes/peephole_non_tensor.h,sha256=ZGpoLEljNMx6pKctfy-vWCgJfZ1HX87qIgOsmwPSZNQ,342 +torch/include/torch/csrc/jit/passes/prepack_folding.h,sha256=aQa61BMSpx4GgU6KpCVyC4wLSEVGmM_FDxxnEjkRmyo,358 +torch/include/torch/csrc/jit/passes/quantization/dedup_module_uses.h,sha256=BO4QlaPSdH1I37kIrdUi88CDoLDm3MYaKY-7YjMFNGI,826 +torch/include/torch/csrc/jit/passes/quantization/finalize.h,sha256=QEDufBsyjHdBm0rYP-yTAIQi7sRdRLUAEc0UEWMmUjw,2321 +torch/include/torch/csrc/jit/passes/quantization/fusion_passes.h,sha256=uDbKWQfLMcdtJt4H-1h-V4JCT8mKzKx6cAtxb5FtxkU,191 +torch/include/torch/csrc/jit/passes/quantization/helper.h,sha256=cBVttmlnIlkeUPDd2B3HYKbBM3mJSRrsZWgCIGep0to,7484 +torch/include/torch/csrc/jit/passes/quantization/insert_observers.h,sha256=3ebXPtSZOolJKgpNU__Y6lptAxl97EQVl3x5N4UoFOE,2351 +torch/include/torch/csrc/jit/passes/quantization/insert_quant_dequant.h,sha256=LHatNCh1b6fas9UPE0x9UxoAGJyoEWi1rxdSat6Olys,1450 +torch/include/torch/csrc/jit/passes/quantization/quantization_patterns.h,sha256=9jqgw4ptf0-ZoNlV-iucRJTO8TRE4An-6u8CLEM-380,53727 +torch/include/torch/csrc/jit/passes/quantization/quantization_type.h,sha256=UDgAy32Y3JJQUhZYoYo_qCA__SUbIdUThbBdQqGfOPw,358 +torch/include/torch/csrc/jit/passes/quantization/register_packed_params.h,sha256=XbD6rCZJx8Df4z6XnY-C1M4wNdaMOLuwxJCf63Jd2nA,514 +torch/include/torch/csrc/jit/passes/refine_tuple_types.h,sha256=AOglEl5zFs5GLygxXdZWIBvLY8E-euGUtOKr670dYRk,267 +torch/include/torch/csrc/jit/passes/remove_dropout.h,sha256=4gPkuN-LrDB-hGZOCnmeXiIvTjcPz6NT8bgUoVoC5ig,280 +torch/include/torch/csrc/jit/passes/remove_exceptions.h,sha256=uUw3Okrp0K27SoccPqlA8Wz2szkxS1bw3_X45pURZXc,954 +torch/include/torch/csrc/jit/passes/remove_expands.h,sha256=p1gyyUkdAl8paoIua_hIw7w9gZ6tbIOYYqkMND0ZVZM,175 +torch/include/torch/csrc/jit/passes/remove_inplace_ops.h,sha256=Jc9B6oTsIBXl_x7872GyBdbWiJjG_3a3TD24YsErM_g,296 +torch/include/torch/csrc/jit/passes/remove_mutation.h,sha256=NvKQoiaOIcamUsbl0xcS4VbYG2H3KC0hAeTkh-t7d5k,2631 +torch/include/torch/csrc/jit/passes/remove_redundant_profiles.h,sha256=nxTd7qnxpPSfwAQEGfwXyxGARygFcXEgGbFeOtazxw4,262 +torch/include/torch/csrc/jit/passes/replacement_of_old_operators.h,sha256=TcMUJonQnZL1TM8B8AACsWMQOE6r814c4AEmtHzgvoI,459 +torch/include/torch/csrc/jit/passes/requires_grad_analysis.h,sha256=NOk_n1Klny2BUbVGvbcUMXVD3ad3kpDx5IsR1w0g7rU,246 +torch/include/torch/csrc/jit/passes/restore_mutation.h,sha256=uU4DOi6WVSOX_KTFBWeR5SmMkhdzQdjQuJJnUjlupCs,1826 +torch/include/torch/csrc/jit/passes/shape_analysis.h,sha256=HpgZk6Gd-qy8YQEndmu3sgfchLVwJBI7Pmt_Ves0vYo,1102 +torch/include/torch/csrc/jit/passes/specialize_autogradzero.h,sha256=66bMvmBU5JN-2Xg6fpNquws9feQTGSWpnt_vJnldIaw,656 +torch/include/torch/csrc/jit/passes/subgraph_rewrite.h,sha256=l70yIPbM3Au9u8XwaVRLJXiIE4P2dRtbvrWcMD3axNc,4112 +torch/include/torch/csrc/jit/passes/symbolic_shape_analysis.h,sha256=dXM4whR8APwMqz0rjvFadetxOf4pAgnPqMTwrufKSO8,2103 +torch/include/torch/csrc/jit/passes/symbolic_shape_cache.h,sha256=s22J29bc3uK4DsS-DAKyqwbxIjNl60DKqC-TfTg-sS8,1599 +torch/include/torch/csrc/jit/passes/symbolic_shape_runtime_fusion.h,sha256=vLNAUTR8HLCPqoSoyuWZ5aq9piJ08aK6KmP-kIVHDPo,2390 +torch/include/torch/csrc/jit/passes/tensorexpr_fuser.h,sha256=OxcY1D8TT3wUcT-V9bOzj-wTnM8_nxF8dAfubGuwdf4,2625 +torch/include/torch/csrc/jit/passes/update_differentiable_graph_requires_grad.h,sha256=WNrA8iRJorDUG9Fsq3fVNMcLbJ0x0WuaQx4cSvFaefA,740 +torch/include/torch/csrc/jit/passes/utils/check_alias_annotation.h,sha256=pZafsHGeDV3cPTfJJubzUe20nGjb8Jsfe_pU7qaEFCY,612 +torch/include/torch/csrc/jit/passes/utils/memory_dag.h,sha256=Nqi4VkMABfibfv3lo4Y8v7TUpLPW7N9FLqXskS3nw6Y,6329 +torch/include/torch/csrc/jit/passes/utils/op_registry.h,sha256=UoA-APAe_5BCuNBWKN-zGdUUbhF3jjEYIMwCezuasE8,1033 +torch/include/torch/csrc/jit/passes/utils/optimization_utils.h,sha256=rSeEsn9yWTqYUxLSiz-XOHfN3qmECg2fVnrhAl_Vef8,244 +torch/include/torch/csrc/jit/passes/utils/subgraph_utils.h,sha256=E_OlnMAVussYOgV2HzPZJ5Z0WBPOzS9Coqw5vDk0jlk,2411 +torch/include/torch/csrc/jit/passes/value_refinement_utils.h,sha256=IU0rQv9QGbyJ9WQP93Cj3euziCJjutrwObQizd9LWD8,2632 +torch/include/torch/csrc/jit/passes/variadic_ops.h,sha256=GUbzziWDOcJKqpxkqnPqhrNufRYtHm30IrG0lmvUuz4,910 +torch/include/torch/csrc/jit/passes/vulkan_rewrite.h,sha256=D_erZJaxM2nVOvVFWzoanVlKb57Ce40B__HVaToSX4k,698 +torch/include/torch/csrc/jit/passes/xnnpack_rewrite.h,sha256=9B0h-1dQL0OU4MxArPMiXEwNxlB_nB9deNOcW6BwEe0,820 +torch/include/torch/csrc/jit/python/init.h,sha256=pi94AbCTzGH47EW-u9kPDdRazf2RXwVKISlt6S3p8dY,143 +torch/include/torch/csrc/jit/python/module_python.h,sha256=UXIHhWTC99J3Oqh7NyoDfwukGuZ4vnZjSS-sLBgSGJY,960 +torch/include/torch/csrc/jit/python/pybind.h,sha256=McG2f_uxhUxBHOwkU_p40eKxwje8D7cFOHVayyS0dO8,7929 +torch/include/torch/csrc/jit/python/pybind_utils.h,sha256=7mWzZJhLXlsGz7A1LwlGFUcTG8pgntYJjmgSvZQNhqQ,37791 +torch/include/torch/csrc/jit/python/python_arg_flatten.h,sha256=-4yxueFeKLSCSDJO8zWm5nZfIWwNItwux0kXf_7jxZc,3527 +torch/include/torch/csrc/jit/python/python_custom_class.h,sha256=I-MFhM3ig0IiiVne9U84w0aqHrKRwl9MaCOGCtIfOPs,446 +torch/include/torch/csrc/jit/python/python_dict.h,sha256=rnifLBJFGqY5Xd8sQUw98yfJmvqegyq1kWcJ_yabHgY,3320 +torch/include/torch/csrc/jit/python/python_ir.h,sha256=42V5sIKri9OpVkXynDoBy6mCpynpHxKwfFyfKSXBDJI,1693 +torch/include/torch/csrc/jit/python/python_ivalue.h,sha256=Bp8NbUzfDwPkC_M7AcrC_DQTzOiaUoyu8_nHX0oi6nY,3261 +torch/include/torch/csrc/jit/python/python_list.h,sha256=gM2GdS5LCUW274tq1bqNPMr34hmHcLCmjOEhuhA14Fw,5423 +torch/include/torch/csrc/jit/python/python_sugared_value.h,sha256=h-M0INIQrTj7jdqwqwj0dEobZVYeBAQAmnt_inkGMb8,11253 +torch/include/torch/csrc/jit/python/python_tracer.h,sha256=lqc6qmwN1Z8NdBWZK3NxrF5U3GXEfEZZXyW3IcUQZ-M,1211 +torch/include/torch/csrc/jit/python/python_tree_views.h,sha256=yJkTxIBDBgYEkX-7zAjVE1ACKKBNXvBU9Kiq885knT0,150 +torch/include/torch/csrc/jit/python/script_init.h,sha256=-nyejY7PHUrX4O1LEs7W48ZifDvd_oMfucwL2vAndyg,152 +torch/include/torch/csrc/jit/python/update_graph_executor_opt.h,sha256=pdlOCRdZR5VsId6If4yEOtsN1zNtLDzzFT7fncH-B-U,185 +torch/include/torch/csrc/jit/python/utf8_decoding_ignore.h,sha256=rndEzjMH5efB3RbaWMpfujvNQUe3o2_mesOzreaJHPs,179 +torch/include/torch/csrc/jit/resource_guard.h,sha256=SZxh2LtG00NT7B09GGD3ybGOhtiwCE6YuMscDMf3fP4,476 +torch/include/torch/csrc/jit/runtime/argument_spec.h,sha256=CHdWtjbHoqHyNrmI-1jtY1W_jQvWeFc1qtYaZap6Pbs,17001 +torch/include/torch/csrc/jit/runtime/autodiff.h,sha256=5apSR8BAAdifHGPPFeCsS4GpYstVS1EvAYbK_lsaQgc,3930 +torch/include/torch/csrc/jit/runtime/calculate_necessary_args.h,sha256=WQujo6Vy1MOEeHzKhO04AYoOAAztIHnIZJ2Om4eqg9Q,2281 +torch/include/torch/csrc/jit/runtime/custom_operator.h,sha256=x5Pj1v62Qg0-LNXzV3rMRxgerhRSfpwj8cu_bDRMgkE,1054 +torch/include/torch/csrc/jit/runtime/decomposition_registry.h,sha256=xoSz6G8uopLGqzno6BQBrdsTQ0lx8zu7HPMJFItDVrE,1045 +torch/include/torch/csrc/jit/runtime/decomposition_registry_util.h,sha256=vJ_K-8X9IaDOmrmwHNS79NxyyBlPdNcwH4NUbuvVS34,261 +torch/include/torch/csrc/jit/runtime/exception_message.h,sha256=HhV725zokG4hM07w-JpB6F2BLLoCoxwCjcYg2-Ccduw,614 +torch/include/torch/csrc/jit/runtime/graph_executor.h,sha256=LJViiZQCH35Z-hgESEhMdtjObinFWGgXVsdPnjcEPf8,4533 +torch/include/torch/csrc/jit/runtime/graph_executor_impl.h,sha256=CqADDMtS3pq2JEj1FdgsS4JZBoaid2g-w5Qr7i1IMeA,4027 +torch/include/torch/csrc/jit/runtime/graph_iterator.h,sha256=pSfARVvHC2XCw_p83DAuKxfLgvSJOgvkAB5dFXVE8LQ,4938 +torch/include/torch/csrc/jit/runtime/instruction.h,sha256=z1R5fLzff85MErdJopGVILbT-7Jii2ROWeRMoDSBoJ4,5621 +torch/include/torch/csrc/jit/runtime/interpreter.h,sha256=0onnn7sWAQQmBCoN2uOez64SYKuhqsIH_LYchauT5Y0,4976 +torch/include/torch/csrc/jit/runtime/jit_exception.h,sha256=CFsv44op9BxpJ62xbTvodjFT-YIv5ZgLD-jbg8GyChw,1180 +torch/include/torch/csrc/jit/runtime/jit_trace.h,sha256=J7iFyOfzcqTPPaoGDSsgz79FcvpVEUJQz9Lp60IWdIk,200 +torch/include/torch/csrc/jit/runtime/logging.h,sha256=8iNY7OriqxO_PkLjzaPfcoCH0xM-cXo5fKSpGurc15Q,2554 +torch/include/torch/csrc/jit/runtime/operator.h,sha256=uYbrqchFbcn-f0HpNkG4bUQZhqHy_ts6ySVNNHVihBM,11764 +torch/include/torch/csrc/jit/runtime/operator_options.h,sha256=T3eF5cJyP0Gfv-8-8UDZQ67GYAznVFv4_S5MOr6QEow,164 +torch/include/torch/csrc/jit/runtime/print_handler.h,sha256=7BhckncLpvB1v1OViPjayXW-gMIDSyJ3HWc8ghENgBg,308 +torch/include/torch/csrc/jit/runtime/profiling_graph_executor_impl.h,sha256=e0ahQ1Odppu0_01bp770-eB_992xDSxF6dlybOSw8wM,2827 +torch/include/torch/csrc/jit/runtime/profiling_record.h,sha256=j5cXWqFSi4hxM1ncv4Z6u6kHOVf3c2f1MWlU1rqHq9Y,8543 +torch/include/torch/csrc/jit/runtime/register_ops_utils.h,sha256=bwZX3p4TdZ7CB63mWAEQ-uqzTERCVmD-dYJfs8MXVD0,42624 +torch/include/torch/csrc/jit/runtime/script_profile.h,sha256=J2l0nqbRtdNNh8VT5HSLMpvil5MbQcFUdOtNCTk_ocw,2507 +torch/include/torch/csrc/jit/runtime/serialized_shape_function_registry.h,sha256=TOfPLKlvlilf71WrOfkPCaCH0aFbnBCxFHSvxSAmEbE,356 +torch/include/torch/csrc/jit/runtime/shape_function_registry.h,sha256=E15CTZzgUVWvdzS4WBzzBLp53qHpRGIqi43STGjiymE,243 +torch/include/torch/csrc/jit/runtime/simple_graph_executor_impl.h,sha256=TrLd1bQdQcgvHzbd9uz2lWKZk18njVRuvUrJC_EJ3-k,643 +torch/include/torch/csrc/jit/runtime/slice_indices_adjust.h,sha256=-7bG6aoqU0uEXd4kXn8UNX63r3EETlWK8tZqBYiHhxI,782 +torch/include/torch/csrc/jit/runtime/symbolic_script.h,sha256=pFMWhnaWRslFY71luGbw-q6viP0kPoxoH5DjAa86p84,573 +torch/include/torch/csrc/jit/runtime/symbolic_shape_registry.h,sha256=bbs-tOgxUJXCkRCGOSkd3ZviHIn0Pi7n5yfLUb1UGf0,2795 +torch/include/torch/csrc/jit/runtime/symbolic_shape_registry_util.h,sha256=7p1cL2YS8jZuGeWI48XXETdslPoD9tm0_0FU_p-kWVQ,351 +torch/include/torch/csrc/jit/runtime/vararg_functions.h,sha256=4YE78NgzdL8MxckVRrej9O0B_JXQkcKJhxbazpoHXBc,1147 +torch/include/torch/csrc/jit/runtime/variable_tensor_list.h,sha256=BLJu7wftFO19tgS1o_8g9Vo58vKoBqtdLiH0pYMCbdw,527 +torch/include/torch/csrc/jit/serialization/callstack_debug_info_serialization.h,sha256=dP401kjJlCYnHT3ImcGQJKef0Tmgw1P60bkggkuERj8,2624 +torch/include/torch/csrc/jit/serialization/export.h,sha256=oZKLD0FP6T5SudgdZZ-llSGIR_1f0QKZ9M8KBfBGiCs,11530 +torch/include/torch/csrc/jit/serialization/export_bytecode.h,sha256=nS3M5IKe-ife0LErkyh2hom3gPyhS8h8OM4hsscs4wM,1436 +torch/include/torch/csrc/jit/serialization/flatbuffer_serializer.h,sha256=xdg0sjrtrKEad8FIjpY4YGi4pCtdpiZoKQrwhNBHShY,3068 +torch/include/torch/csrc/jit/serialization/flatbuffer_serializer_jit.h,sha256=f71NMpmWRD8vLxf3oQoodL14eawM8SJNtmQA4nACsHY,197 +torch/include/torch/csrc/jit/serialization/import.h,sha256=eWwGipJEzo7suzy7TjuCMouJ1KwU9flHF_OvPGOJxuM,5038 +torch/include/torch/csrc/jit/serialization/import_export_constants.h,sha256=PwcBt7QaJgIeXEJharwa8-7TAbBoXW0jcBD0URuKv4E,670 +torch/include/torch/csrc/jit/serialization/import_export_functions.h,sha256=z1x5GErHSdXtFZHu-8RssFW6nXBztv43gh6o6a3Hs9M,413 +torch/include/torch/csrc/jit/serialization/import_export_helpers.h,sha256=AkAKNlNXoEd0uwK4NlgJ45OQ1yycbxppvdYL5Bkj_p4,709 +torch/include/torch/csrc/jit/serialization/import_legacy.h,sha256=oAVCnzvpIQGKBCUWw7XC_MPFPCYoFzPNtbRaLiu9leE,496 +torch/include/torch/csrc/jit/serialization/import_read.h,sha256=K7hpdwk9j2ytESQKIo7-K7yf0AkiMNCHv9txjB8lhVs,875 +torch/include/torch/csrc/jit/serialization/import_source.h,sha256=Kz0odK-jp7QFbWEsVi8QvnxaukTDpZwXdMo2toIQDsk,3477 +torch/include/torch/csrc/jit/serialization/mobile_bytecode_generated.h,sha256=lYcBLkLIoeIVAno96rXwi7X5KMe3oAmjJaiodkZbv90,98594 +torch/include/torch/csrc/jit/serialization/onnx.h,sha256=MACgWo0l7D149IqzgTV-Maw_--5a9Kx2uqEgFqxuuqc,229 +torch/include/torch/csrc/jit/serialization/pickle.h,sha256=LrpwmMxxw3j0bdRsUdPLnStR4Kr8EhQKmuuC-YyKSDM,3813 +torch/include/torch/csrc/jit/serialization/pickler.h,sha256=vLo9YeOIW4lZlcZj5QD4XdOOOQnod3w3-0LHYT_WqhU,13853 +torch/include/torch/csrc/jit/serialization/python_print.h,sha256=ta8iGXz6MEe42z4hV1FlQwzcjEG-TDxWijRFjd973HA,1334 +torch/include/torch/csrc/jit/serialization/source_range_serialization.h,sha256=iMsaM6FiyeTklw5MDxKbJ66vGm3DIOqQ3Bw-5BWkDEU,1691 +torch/include/torch/csrc/jit/serialization/source_range_serialization_impl.h,sha256=GyKDHMJh8vES7CKm2Vb01bsotCTxXvUvwH2EVq4eJiE,705 +torch/include/torch/csrc/jit/serialization/storage_context.h,sha256=7Yuz7ObDXi8r8eBYXpQiB-7XNXkQff6Gr4URHAdAeM0,2512 +torch/include/torch/csrc/jit/serialization/type_name_uniquer.h,sha256=Iw47XHz7lPkgC9K5dUolB51xJ24SCWQ362jKGukbUKs,779 +torch/include/torch/csrc/jit/serialization/unpickler.h,sha256=k5eaycn84tt8go0UWv2D3b8nygxZm-giCn9QDP8GPhg,7596 +torch/include/torch/csrc/jit/tensorexpr/analysis.h,sha256=XYsGpeq0kz4P4FH0-ZBOe7Yr2y98DrNbNWRqeGkHUKE,9180 +torch/include/torch/csrc/jit/tensorexpr/block_codegen.h,sha256=BPwiFdd-iDO0WGQKfhJKIYo4AwdivkihivMcEWHQMFU,4241 +torch/include/torch/csrc/jit/tensorexpr/bounds_inference.h,sha256=tIHoZEpXklzMujA-0x1JpsfOi2NPEWJAAdyUHT2St2I,2216 +torch/include/torch/csrc/jit/tensorexpr/bounds_overlap.h,sha256=CcwLq7XN4RiGtlOmWAizp3E0KNg2uiwt7AHftMx1OPw,4526 +torch/include/torch/csrc/jit/tensorexpr/codegen.h,sha256=BBmyWwETK8ovXT3gHI3aWbOAyreGDbrEDOAJ-whPZ80,8136 +torch/include/torch/csrc/jit/tensorexpr/cpp_codegen.h,sha256=QqpMixOPvEsoK4fNF0Qmbankqh4WJ8_jDfIZM9993EI,2278 +torch/include/torch/csrc/jit/tensorexpr/cpp_intrinsics.h,sha256=XEzshVCUefNQLU-d7ZixlApMdgtvZ3_9_wsuO8zGq4Q,719 +torch/include/torch/csrc/jit/tensorexpr/cuda_codegen.h,sha256=S0sBFcNBGF0rM_z6a-DCNHmwrKq4Eb8NZTWzxZUIMW4,8368 +torch/include/torch/csrc/jit/tensorexpr/cuda_random.h,sha256=c1i6pdqn9m-l9PeMXeNlhW9qiE8FlLSVj2DV-ioYB7c,2642 +torch/include/torch/csrc/jit/tensorexpr/eval.h,sha256=kktbiNK3rVY4zAwGXoBnCKz2K-FwP9Hoqtf0Pxd_f1g,11078 +torch/include/torch/csrc/jit/tensorexpr/exceptions.h,sha256=SEHeRHop_dLo3vma50iqcIrDTZi0gg0jQX-1qfhbElc,3239 +torch/include/torch/csrc/jit/tensorexpr/expr.h,sha256=soJl075qA-CbP_jSPsXSpKJBFTBxRgK1Z1b4TRazQYs,14343 +torch/include/torch/csrc/jit/tensorexpr/external_functions.h,sha256=iNEwepGqGWmEpPL55lL9obEEs4fYvG03qV0BSNcPuuI,3485 +torch/include/torch/csrc/jit/tensorexpr/external_functions_core.h,sha256=b35GbjY-X7qyLJ57hEu902nPpkk6uDs_tzaFCBYQlp0,504 +torch/include/torch/csrc/jit/tensorexpr/external_functions_registry.h,sha256=5PMv1IZZPXuBbj4t24FwbbhPNMgUjAlTaa5dkJjYB1Q,2356 +torch/include/torch/csrc/jit/tensorexpr/fwd_decls.h,sha256=NmtzudbjIA2Cm0HOFsDraY95bvBwy5wdNt-SJIDqBOM,3034 +torch/include/torch/csrc/jit/tensorexpr/graph_opt.h,sha256=qIoi-OKlAVZVP82OGr4mzrYgj52221nqN_96O1u5P7c,4484 +torch/include/torch/csrc/jit/tensorexpr/half_support.h,sha256=3HP6qoqJv-fqTImF54smFiMvExD-wJ1LdluQZQZPoeU,5836 +torch/include/torch/csrc/jit/tensorexpr/hash_provider.h,sha256=TO1nBm1Aqgf5LvhurYgbLjOid5fjc-lUJraErGWFiiM,7983 +torch/include/torch/csrc/jit/tensorexpr/intrinsic_symbols.h,sha256=xFMYwrG9FzKJKOWVZSlyRaRn3YPR8SuDDAo9Md0GPVQ,420 +torch/include/torch/csrc/jit/tensorexpr/ir.h,sha256=RuxJhiKsIeXmc65Fe3PRDT63DjkdOvGkPK-NxBmz6l0,23598 +torch/include/torch/csrc/jit/tensorexpr/ir_cloner.h,sha256=-lPpvoRa9WCu1atbZcQ9eVz7QKFOIYUYL7RJyk6taKY,2110 +torch/include/torch/csrc/jit/tensorexpr/ir_mutator.h,sha256=qFsEPY_-eB1JxmsF9gybc-w2WGbTGT6vr5JWESRquaA,2140 +torch/include/torch/csrc/jit/tensorexpr/ir_printer.h,sha256=W69knIpaNagjTPn0WInf2zmmeckaK5py3T4Li-LZVSI,3860 +torch/include/torch/csrc/jit/tensorexpr/ir_simplifier.h,sha256=iayHUcL1X0rRAn-Vyj_X_ZzwNoG-fWWsTnv4VO_vS6U,15520 +torch/include/torch/csrc/jit/tensorexpr/ir_verifier.h,sha256=3uBx_O4TNeIctSQ81sjKtKOXd6E6s8bGQLY54loyrZk,1219 +torch/include/torch/csrc/jit/tensorexpr/ir_visitor.h,sha256=buPmythe5_kaYS9C1VC3pqXi6hT5LjSYxTtreTtVICs,1943 +torch/include/torch/csrc/jit/tensorexpr/kernel.h,sha256=umMcWiLwZVqROJ41ga6Hztod_ZNdFL1fOXXRpTlvw5U,13376 +torch/include/torch/csrc/jit/tensorexpr/llvm_codegen.h,sha256=O3Mwbg1ywyQB33OsKGtckaJ0rCSCsLe5nQEUA2BAUBQ,3850 +torch/include/torch/csrc/jit/tensorexpr/llvm_jit.h,sha256=WEEu4rxptFRvaVxn47j-_zR_cvVGWsdSYR1mOSGtrEI,1951 +torch/include/torch/csrc/jit/tensorexpr/loopnest.h,sha256=8Wbbu-5KJzNvT19FKOX1S-Su0Ebt0k53JnXurQB6A-8,21347 +torch/include/torch/csrc/jit/tensorexpr/loopnest_randomization.h,sha256=EDpt9cBdS4oyjO_pH1i8v8rzyIOJBupk5yBioNzdlR4,359 +torch/include/torch/csrc/jit/tensorexpr/lowerings.h,sha256=mp5BecMZYCjRwk3xQWyoAL-K4EBwnExg-FkeEaro-Ok,1323 +torch/include/torch/csrc/jit/tensorexpr/mem_dependency_checker.h,sha256=GxuH9MphGhcEB6dXw1F6Udcjc1DmM16R0a4j5I7x4-I,13239 +torch/include/torch/csrc/jit/tensorexpr/operators/conv2d.h,sha256=bns5NkH7_MlZ-2p--vHs6vNSJgGvAkihzDILqvm33a0,2943 +torch/include/torch/csrc/jit/tensorexpr/operators/matmul.h,sha256=Lu2V2dZLDE3Nin6_hHbRC6V2L27v6vNcP0SryfRfj7Y,653 +torch/include/torch/csrc/jit/tensorexpr/operators/misc.h,sha256=N0FKZMy45iWvcxYYp3f1GAJzc4uGFKQ-Qftc3lyz45I,3324 +torch/include/torch/csrc/jit/tensorexpr/operators/norm.h,sha256=VuNMXNVcpD08jM-HMK-J1UTAEVVMMiZM19p8kyNz01g,423 +torch/include/torch/csrc/jit/tensorexpr/operators/operators.h,sha256=uUMEOYPpfSOrKklAjsN4YdQD7agTgSCUzMni2PeH78s,471 +torch/include/torch/csrc/jit/tensorexpr/operators/pointwise.h,sha256=HEtSbuouHEurpOuAO65X3Oqe12UNRHQH4ecrKULqtRs,3202 +torch/include/torch/csrc/jit/tensorexpr/operators/quantization.h,sha256=Tlxco4v3z0mHv4LxB8XpR5UrnJ-wcdRlj-OOZ_l_zk4,5582 +torch/include/torch/csrc/jit/tensorexpr/operators/reduction.h,sha256=NVB0AOHmMx0tkKaNHHnHLfxJaumHVWNC3ORXgIrLhE4,1155 +torch/include/torch/csrc/jit/tensorexpr/operators/softmax.h,sha256=tOkx_YTIAy78POs3G8GxUv-byZ39qEK_bBKZ5OruwUU,371 +torch/include/torch/csrc/jit/tensorexpr/reduction.h,sha256=UJv8prSVLTmcpnDS9fOw_i8ADpKcFDynr_G8ARdCnHY,8697 +torch/include/torch/csrc/jit/tensorexpr/registerizer.h,sha256=5P82baOPFf9lQVoO0aecLSQI0kPU7n3w5gGmHLBWTrQ,12540 +torch/include/torch/csrc/jit/tensorexpr/stmt.h,sha256=XOHcbNqYZyOXDk6kRVNW-BMMpigBC4llDkgwQJeBXDo,24321 +torch/include/torch/csrc/jit/tensorexpr/tensor.h,sha256=UESU7EkO6xaMnjlL0ZofRfO5KA6SzNI_8CFLTpM7u40,10793 +torch/include/torch/csrc/jit/tensorexpr/tensorexpr_init.h,sha256=INBGA6k25_MhWFjgjH3vqwPqTUupzoDo-qYARLMW8MA,268 +torch/include/torch/csrc/jit/tensorexpr/types.h,sha256=kDAeYY-9iIfERsFpbGXYf-V7SqhBzqxywI-FnuKeWtA,4310 +torch/include/torch/csrc/jit/tensorexpr/unique_name_manager.h,sha256=36F09N0Fvg7kRVB-7TAU1LZsgxJC9WvaK5XzRBvRUaE,926 +torch/include/torch/csrc/jit/tensorexpr/var_substitutor.h,sha256=i1UteqinYYFTPJzycOUwxHiyW9SAGx92bFujov82c0k,1812 +torch/include/torch/csrc/jit/testing/file_check.h,sha256=GfHH-By3ohBvZHkRvxE08DNKWMV3_Cz2InXbA8-UUAA,2568 +torch/include/torch/csrc/jit/testing/hooks_for_testing.h,sha256=qTVWQIZvaPw2xkzr_hbn3phdtT94Yc2_JCUEahUp1Us,603 +torch/include/torch/csrc/lazy/backend/backend_data.h,sha256=VQ_5Zm7jvFNYY9Vn3e-mkLk37hVolIl-YRC8Lo_-hEw,1205 +torch/include/torch/csrc/lazy/backend/backend_device.h,sha256=4P3bcR4OaDEv8GNncQjBerCshUoeY_9EFkybSVsrY3s,2876 +torch/include/torch/csrc/lazy/backend/backend_interface.h,sha256=NbEdNBfVfnJWA0JTHOixoOQn4aXPKxY-BIeYBbvmWM4,4846 +torch/include/torch/csrc/lazy/backend/lowering_context.h,sha256=y5t4aXVFCZlM6aZFZDB6NbTfi4JB2aIjiXy9DD0nsPk,3308 +torch/include/torch/csrc/lazy/core/cache.h,sha256=O4NjeVhn5TiLcRIUQ5mvTNPac0TVOC1NVPZ3HnRmzVU,3645 +torch/include/torch/csrc/lazy/core/config.h,sha256=wF70zxarRonAuvn3nofxeKY1NXILNO9sqPhLl5MwPUE,913 +torch/include/torch/csrc/lazy/core/debug_util.h,sha256=HPbvpVneHJrn43myzDe1i24-wMCg7254M8TNGdcz13Q,1299 +torch/include/torch/csrc/lazy/core/dynamic_ir.h,sha256=iCbqKMuQU0OoJK5S4tG_dE99jzH5Ldw94DrQtLwdZyA,1586 +torch/include/torch/csrc/lazy/core/hash.h,sha256=5ojcWHoZsN2G4jwzNfaAcAZloWDcBVR6_P-jE6szaec,7290 +torch/include/torch/csrc/lazy/core/helpers.h,sha256=_X2bnEg1MlFhkzxGTvmGyLaJ0m6SCwVdCe3rB4zh0yE,2259 +torch/include/torch/csrc/lazy/core/internal_ops/ltc_ops.h,sha256=Y1dv99_hdJegQM59a1sn2UVVCzG5M81IwNGChLyXtXE,1492 +torch/include/torch/csrc/lazy/core/ir.h,sha256=yKMcXvo7Ys-EsMUh8VvOt5bSOV5SdKgylnB0t9AC9gc,8007 +torch/include/torch/csrc/lazy/core/ir_builder.h,sha256=jqzR0PRk6FDsmy4dbFZXcax1GORiQAsq3SCbzoSI_J4,4738 +torch/include/torch/csrc/lazy/core/ir_dump_util.h,sha256=cnOi7BbGSdYt29JaW0y7_2TveSXKllMuM3eF9hbPP7s,689 +torch/include/torch/csrc/lazy/core/ir_metadata.h,sha256=jDgXKzkr4n2bThk4JHhkgyIHEeIwc7AewW0kILIYFMI,1154 +torch/include/torch/csrc/lazy/core/ir_util.h,sha256=t2vTTSDYuZaljqHqrzx7YXPinZSjrgHQLdKtsimnWP4,1391 +torch/include/torch/csrc/lazy/core/lazy_graph_executor.h,sha256=TVdKCIs61x6jDNmftqdV2nnss-KbIxx0iDk6t2wh6d8,14859 +torch/include/torch/csrc/lazy/core/metrics.h,sha256=v5PGW2mAr_N0x_mzN_CiAUaCmn7MYmd0brsvOrwatmM,8017 +torch/include/torch/csrc/lazy/core/multi_wait.h,sha256=S9a59_NsDmrWvprDvDiiVDq-FjvFv7-hzgEat8g225U,1740 +torch/include/torch/csrc/lazy/core/ops/arithmetic_ir_ops.h,sha256=fjyJJvOW1x0vED4C03fdt_imQkFs1A_2xP1SDQQpWA0,406 +torch/include/torch/csrc/lazy/core/ops/utils.h,sha256=RwVAGc_1DAG5aTpaHRntrYyFO-YPx1Bqfm3XcHq_M4Q,1010 +torch/include/torch/csrc/lazy/core/permutation_util.h,sha256=sUpKHJc5ZtY0fBV4r3hpJ_xzSjmX37TmvrXcrQ_UusM,1277 +torch/include/torch/csrc/lazy/core/shape.h,sha256=X5DJQk1iTk7J11aoEzGRVpAbHa83S6Bhd5ma6efyeUQ,2020 +torch/include/torch/csrc/lazy/core/shape_inference.h,sha256=C5jzjPWPYircFNlm-Jx_CDc-UUpIAmq8Sk-P0o8JMHY,15350 +torch/include/torch/csrc/lazy/core/tensor.h,sha256=_McMNYzsfMiK2FUOhE7_NE5seEfgzwgvzpnhpFXZxbQ,9439 +torch/include/torch/csrc/lazy/core/tensor_impl.h,sha256=m9hDgfipVN0cTPayykC7buE8lmOyFhV6iPT5p8zBZtA,1910 +torch/include/torch/csrc/lazy/core/tensor_util.h,sha256=tz9gZ7ymXbwXYsmJYLGRJ4CgM3ReamNEcnYGct7Lxug,2561 +torch/include/torch/csrc/lazy/core/thread_pool.h,sha256=93Llb28b8IOCi4fzc2t_dxI0KbiosFaUBrfWR6bx-6c,721 +torch/include/torch/csrc/lazy/core/trie.h,sha256=QSiW5yPfjwjCk4b6T-2DxUXH3-cL8r7jMtF9LkvVYiQ,2217 +torch/include/torch/csrc/lazy/core/unique.h,sha256=GHYHoW7xyulSfU5DkUTW75Onlzj5BW8aSyYBbUjN16A,1175 +torch/include/torch/csrc/lazy/core/util.h,sha256=o7zCH3L1Mf2CAOOJj4qq2jxLSB92YnxLOb6e-ZNZeiw,2830 +torch/include/torch/csrc/lazy/python/python_util.h,sha256=J-L_LKLwLCRZQafX1xHfA5IHzlhpwxSDDOcAH25Xt-Y,351 +torch/include/torch/csrc/lazy/ts_backend/config.h,sha256=mAauhrHhWIzAJc-pHcjzFhaVBGuHXZUjiWL2G23BHt8,202 +torch/include/torch/csrc/lazy/ts_backend/dynamic_ir.h,sha256=RQWixJpb5piDUl5VaI1yL_uJXcEatY8YvwKY_WGVnEQ,2503 +torch/include/torch/csrc/lazy/ts_backend/ir_builder.h,sha256=dXSrFc9KaY8-RvcA-6BUHu7h6qy9T26jgZCB2VL9iKY,2416 +torch/include/torch/csrc/lazy/ts_backend/tensor_aten_ops.h,sha256=g5DsT3zcoF-9oEYQ37Amm4jdhL_YRHdB6qPJkqPCU2w,548 +torch/include/torch/csrc/lazy/ts_backend/ts_autograd_functions.h,sha256=LBqUJ_aJwGFV7IPtUzhnbyYhUpO59COTv9gBC_fW2TE,644 +torch/include/torch/csrc/lazy/ts_backend/ts_backend_impl.h,sha256=DCKOCkzy5gI2430ra0nYkt2GMjCW0nGIphJe3TWNeCs,1234 +torch/include/torch/csrc/lazy/ts_backend/ts_eager_fallback.h,sha256=GW6xzyRRYLvdDf1XA78_nT-1bkdeDvPgYyeefhn3piQ,717 +torch/include/torch/csrc/lazy/ts_backend/ts_lowering_context.h,sha256=pPmx22bfOeJ5toBc_7Ey-QAYwIeJIKCoiU5_onXEXA4,4519 +torch/include/torch/csrc/lazy/ts_backend/ts_node.h,sha256=N91HrPG7tJEC1MdZv5Zo3R7jiZ2lzBK5QtSTisI7R3Y,3376 +torch/include/torch/csrc/lazy/ts_backend/ts_node_lowering.h,sha256=TUl69lpUcqybpxrYebLv5EDHgYIhXfyg26GvfrAOknY,484 +torch/include/torch/csrc/onnx/back_compat.h,sha256=RSZsILhhAkQMuO4kZ-K5J-27aUIMpUvA0LTITHq2WvY,682 +torch/include/torch/csrc/onnx/init.h,sha256=ZXAqnv9mhvV3QHMdSwzKprQOSAa-rSi3pcABk0aY3a4,146 +torch/include/torch/csrc/onnx/onnx.h,sha256=9ghsm-HHPWO3NC6nNNCfEI1U_H2jZ55SULufWFKPa2w,507 +torch/include/torch/csrc/profiler/api.h,sha256=zjBc3tV-Ei0HPla-xCOry7uHWlQXXMT5nYcJcqyDNZQ,559 +torch/include/torch/csrc/profiler/collection.h,sha256=TfK6T6taYcguS3h9J7SqQj0ndr-qQfgsFWXqcXmH0nU,19596 +torch/include/torch/csrc/profiler/combined_traceback.h,sha256=pYcoIsVr_l2iLTncC3gGt1KgClXuKBOrKaPnE9_pYtQ,2325 +torch/include/torch/csrc/profiler/containers.h,sha256=6C5y6IcBwNCwbMo2yKQGOzUen2hdmiGO5YLCm_k5gXw,5957 +torch/include/torch/csrc/profiler/data_flow.h,sha256=_SiPNbsZs7_OiUg9T9A6bxsBIeFLvB2t7ONaIXtCJMk,3675 +torch/include/torch/csrc/profiler/events.h,sha256=0r5a0Ldx__9cdVwQ0ns7mvmn9WwxLwUhEd86I4NnqPU,1063 +torch/include/torch/csrc/profiler/kineto_shim.h,sha256=Ec0f1p-WnFwgnSFe3J0TjcYCUUD3TPtOF9yRwUaVvEo,4068 +torch/include/torch/csrc/profiler/orchestration/observer.h,sha256=nF70GOhRkh575sxwbcTGafSlLl26Y6UwNYWslaGpf8M,5062 +torch/include/torch/csrc/profiler/orchestration/python_tracer.h,sha256=ABvjHX9htLlNq_jz7l69FlOpqXorMkxnxgYHSllq0Jw,1822 +torch/include/torch/csrc/profiler/orchestration/vulkan.h,sha256=nbVl5pgj47F2WqBW45wwyXLMIzVtg9MCftxONuxb-zU,851 +torch/include/torch/csrc/profiler/perf-inl.h,sha256=YWlKN0RywwTmuFC-4J6ZOISKaD-YZOLufm1KahLcuXw,1460 +torch/include/torch/csrc/profiler/perf.h,sha256=iRZ1J6uEui__ZHpGOdOFkQS-OxKw_40N9SbNFy36BL0,2562 +torch/include/torch/csrc/profiler/stubs/base.h,sha256=p5aOwHkGOAVu-J0Mm3jyrWrlLRGmSGwgajFW4W8Iw_0,1683 +torch/include/torch/csrc/profiler/unwind/action.h,sha256=y4w5mzNoSxplA0yv-ZhFD76Z-TZ9j-q1cmip-hVRo7c,1368 +torch/include/torch/csrc/profiler/unwind/communicate.h,sha256=5HZsO6j2g_9RpMis7HORX6NXO7kXaK1rwTjrak2l2e0,1870 +torch/include/torch/csrc/profiler/unwind/dwarf_enums.h,sha256=Ojxlhbz2WvETGEnqFq4XH0Oi7d4zYg4nRU3LgyA6gew,1110 +torch/include/torch/csrc/profiler/unwind/eh_frame_hdr.h,sha256=TMZAYZhDnMFUwnZs7pyqe03h9lOXiILeud9wrQgCHt4,2527 +torch/include/torch/csrc/profiler/unwind/fde.h,sha256=z2rLN7FotZPORf4TbIEPN07N8IU0UxM8FcjmkqHj4b8,11924 +torch/include/torch/csrc/profiler/unwind/lexer.h,sha256=o77ur7xftUskvDlWLxHs467AnDJr8mnlxg9HjWxb6Xg,3041 +torch/include/torch/csrc/profiler/unwind/unwind.h,sha256=Pg2VFzs3K0QJsugYQjQ_l9R6-TlGc1br44n8N4Q1j2k,1084 +torch/include/torch/csrc/profiler/unwind/unwind_error.h,sha256=aXvPAgW0RNBM7TiaKZTR2WCVVlZkuPlC9CQWMRYtD4g,130 +torch/include/torch/csrc/profiler/unwind/unwinder.h,sha256=qWjhN8mS4eLO6ckvbBZnodPSQfZkrCp-8dvAgyWd-E0,2236 +torch/include/torch/csrc/profiler/util.h,sha256=XkE8OFQgFoZkW6DJ9a6-8TTm4Bko0uez3ZrXhIBAqAg,5151 +torch/include/torch/csrc/python_dimname.h,sha256=-Bk8OBU36eIs9dyAMtpnfXkfa5KgFVxxrLKjhAem5sM,214 +torch/include/torch/csrc/python_headers.h,sha256=ZjIaoShls4JWN3vgElKkmNlZuulOavbFlgugV5L7R70,649 +torch/include/torch/csrc/serialization.h,sha256=aomlGL6xKoP3Ol0693VdmgtRyZxf2n6RzNUGWgpQ73o,611 +torch/include/torch/csrc/tensor/python_tensor.h,sha256=ygnOLM0OHKcJw8mDotS7Ysq62bk7tVtTH-SOZ5rsBx4,1102 +torch/include/torch/csrc/utils.h,sha256=ELcO2MUCLcFPZs780hKptSdFmFStUH29RJsoDe38FKw,9689 +torch/include/torch/csrc/utils/byte_order.h,sha256=Vj4VWPytbhZ5W77-Was0__q8Br9RTU1vRnBFrH8M3zw,5878 +torch/include/torch/csrc/utils/cpp_stacktraces.h,sha256=D131Fmw7A__54HWdJhe5aDqVe5c8oWoWvKrimhNG4IE,171 +torch/include/torch/csrc/utils/cuda_enabled.h,sha256=XBmhhhMQUKhvB5amlyZpB-tV7Lfg8KtSo2F-MAy6nr8,192 +torch/include/torch/csrc/utils/cuda_lazy_init.h,sha256=ZIn8WJupLyCv4wgt3nsLkcWzhFzcdRxWADwyonD4H0o,1015 +torch/include/torch/csrc/utils/disable_torch_function.h,sha256=RkN1trqqzeeEQ56GbS4HpBLl5M-jF9IrBrRi6pHtY7o,1710 +torch/include/torch/csrc/utils/init.h,sha256=zuhbx4d-OR-q_eON2gTWnke7iu1LzzhXSlgaQxnqO5Y,218 +torch/include/torch/csrc/utils/invalid_arguments.h,sha256=dXhIUSgk21JztsfxdrsNWq40fQOVhPLmMWRQocy_q3M,302 +torch/include/torch/csrc/utils/nested.h,sha256=QgZZwwWMtV0LH-NH6TUgZe-fxuSU1dzTDp38dkSkDFQ,331 +torch/include/torch/csrc/utils/numpy_stub.h,sha256=1m2vyb-8t2lQGtylJZrcH2cw8nHX_OEtyKk7Q_jGg34,399 +torch/include/torch/csrc/utils/object_ptr.h,sha256=AUZl7WR4XxSyzIMahypE4_faOXCh6YoiXByY1uOZKxU,1574 +torch/include/torch/csrc/utils/out_types.h,sha256=A6jvfT3NOTvo7ATVGJPe9docyZKpnTCQm6HAG6XGko4,352 +torch/include/torch/csrc/utils/pybind.h,sha256=Za4NlOWY6fbgE5NPicBvcV-Qj5qbN-_x8_myedm-CBY,11673 +torch/include/torch/csrc/utils/pycfunction_helpers.h,sha256=4_LQ4gsIR9hC6vI7cHEW161VW8KxurlJyR3LvHQZxPo,385 +torch/include/torch/csrc/utils/pyobject_preservation.h,sha256=G0h2hb4Ou4yDrLX4UuNhp4-71hOioOugzTzqBilRFzI,181 +torch/include/torch/csrc/utils/python_arg_parser.h,sha256=3JMQZHCrWidUZXPKVr-ySddSZDLtsVFvMUmbzquZU4U,41850 +torch/include/torch/csrc/utils/python_compat.h,sha256=bPmjp2aFo2ucZKvU6Nt6r1tpeldG7GGedDiuCRNUBTM,817 +torch/include/torch/csrc/utils/python_dispatch.h,sha256=DyERM6ze9ho04k3uHJ0a28k28wm1Z3LbmHMz5KZnF7k,375 +torch/include/torch/csrc/utils/python_numbers.h,sha256=PLfIANl0UKXxK89kC9d1fsl5_Pth8Ap_lpNaw7z7KLs,4921 +torch/include/torch/csrc/utils/python_raii.h,sha256=rSR7TRx98FU-Z6MR-GMWF8DRvJx6j3SL_5SMFOZ0xKo,2652 +torch/include/torch/csrc/utils/python_scalars.h,sha256=JPl9DuFfmRMEz5edR29ukzMUxBwOW9jPisxgTTlL_Tk,4989 +torch/include/torch/csrc/utils/python_strings.h,sha256=TzdP5dG0xt-C-oATyzfNaNN7ZhKjsADDhI3FUUufJsk,4413 +torch/include/torch/csrc/utils/python_stub.h,sha256=Nigc7ZGrniF0qdLn-Ra4KIicNWTBrgARkJYpxs6Ssek,56 +torch/include/torch/csrc/utils/python_symnode.h,sha256=n4RTTHZ01ymnoy6p6AFdosHeSfWKMJRIcRunBPcsXx4,8540 +torch/include/torch/csrc/utils/python_torch_function_mode.h,sha256=bP2g9yWSoWZx9dCAsDo4IwMZuJ5arbItk1Qwo5V85qc,537 +torch/include/torch/csrc/utils/python_tuples.h,sha256=zJ4thzUsi2Gc1aOAviCv8r-cBAUPPmmE5n0G2jRauKI,701 +torch/include/torch/csrc/utils/pythoncapi_compat.h,sha256=zHuya17yA0NPrWNADChfl8sEz1GcRuvM8BbOGrY3K0M,19601 +torch/include/torch/csrc/utils/schema_info.h,sha256=KQYX9WiImDzXEA1iORuYUaZmRMajWFugwbzdt0-m-yg,3743 +torch/include/torch/csrc/utils/six.h,sha256=HzpaQpIxOJqfhrEHhKyEXRGwzc_u79Iuqy_Kut7RVi0,1465 +torch/include/torch/csrc/utils/structseq.h,sha256=VKGYfdbDBHoZcE6x2UZ8YlD95xbtWyacxhfIvfTNiGs,173 +torch/include/torch/csrc/utils/tensor_apply.h,sha256=MFUFixOlSCSnKSiNF3LJekiM9jze6E6pmsOqXTobJ34,453 +torch/include/torch/csrc/utils/tensor_dtypes.h,sha256=Zgv-kFqDVOPvwHzKhOklGJrGLi6bd4fRE23ZSoHQDh0,257 +torch/include/torch/csrc/utils/tensor_flatten.h,sha256=FOffkuEZnlUOWQjhLSh0W1cyyu5ZeHA57YPYSL-8Ljw,2770 +torch/include/torch/csrc/utils/tensor_layouts.h,sha256=MX0t-2VXHEuPndSZRGK1dzP81w1J17Z0fv3XwiEGYas,101 +torch/include/torch/csrc/utils/tensor_list.h,sha256=76zcfWoaX_pTmFXAySyT9MfuAEmYTzV936VyimkD4pA,199 +torch/include/torch/csrc/utils/tensor_memoryformats.h,sha256=ddeYOYdO6ZkDgNQ9qIbTniPa5e96FqQUH2ohurb3vu4,301 +torch/include/torch/csrc/utils/tensor_new.h,sha256=Wh1qVY2aSGmjZFCoBna9P73BclmGGmzgOuxpcsbuhQU,3207 +torch/include/torch/csrc/utils/tensor_numpy.h,sha256=5RwipcUMR-B29pahhKTBq1bkGQEbFuEf25g9SU6N_5o,738 +torch/include/torch/csrc/utils/tensor_qschemes.h,sha256=jIvHQ-q-NXIbJvNBcwze9-j1uaw5JIvTaImpu-G8Df8,199 +torch/include/torch/csrc/utils/tensor_types.h,sha256=mhZ1j-RW6SYDpbvJiB_E0DoExUD0UDSWfV823ogglqU,566 +torch/include/torch/csrc/utils/throughput_benchmark-inl.h,sha256=2cNq9bZ9tR8I7w9kQ2hgu33RtorOReQ4sU66VmXHNIg,5263 +torch/include/torch/csrc/utils/throughput_benchmark.h,sha256=hXZvUKdlKtBEwIUkRfdFh7e115vqnJ4PP-0gFiBXFaE,6910 +torch/include/torch/csrc/utils/torch_dispatch_mode.h,sha256=rMtqSHWp4z7WZg7m1llXxvNILokJIlDFJnFKC4AyHwE,1599 +torch/include/torch/csrc/utils/variadic.h,sha256=lEuUSe34uARLJQr6jZ3TJnopJ6vKs_CoafhrmgNtmNw,4439 +torch/include/torch/csrc/utils/verbose.h,sha256=P_Dr_oOwiENVdRpzlGTBgJ4KOfl8PJI2ep2vCJeLsNg,138 +torch/include/torch/custom_class.h,sha256=DRZ1Q2dWYIBXq9CRt1fQAveo2YR8Ac5tSxqfj9o924o,19780 +torch/include/torch/custom_class_detail.h,sha256=mnx4R2IO50vfK7dypO4ApyR9DD_m_TJfCgIO9VD-tmc,7771 +torch/include/torch/extension.h,sha256=jIN4AnAwsUeV6tlDdnaZOlxuABYGNIEwSLtdbhwls9I,213 +torch/include/torch/library.h,sha256=-nqd6J_YNUvyDQuaCFyZ9wZ5LesOrHSInfNzeKfQuHk,40131 +torch/include/torch/script.h,sha256=5qMfjbmTzP84r3BPgSRhTqyjMFGrsD54pxsE6C1e508,469 +torch/include/xnnpack.h,sha256=haRE757AYYubxGDyXefHgx0SAenKwwPUI_F29lbXa4k,161624 +torch/jit/__init__.py,sha256=_SQufzhO3f_PP1HmbXqMGOCYqMCuz2B9-AhhegkTL7A,8256 +torch/jit/__pycache__/__init__.cpython-310.pyc,, +torch/jit/__pycache__/_async.cpython-310.pyc,, +torch/jit/__pycache__/_await.cpython-310.pyc,, +torch/jit/__pycache__/_builtins.cpython-310.pyc,, +torch/jit/__pycache__/_check.cpython-310.pyc,, +torch/jit/__pycache__/_dataclass_impls.cpython-310.pyc,, +torch/jit/__pycache__/_decomposition_utils.cpython-310.pyc,, +torch/jit/__pycache__/_decompositions.cpython-310.pyc,, +torch/jit/__pycache__/_freeze.cpython-310.pyc,, +torch/jit/__pycache__/_fuser.cpython-310.pyc,, +torch/jit/__pycache__/_ir_utils.cpython-310.pyc,, +torch/jit/__pycache__/_logging.cpython-310.pyc,, +torch/jit/__pycache__/_monkeytype_config.cpython-310.pyc,, +torch/jit/__pycache__/_pickle.cpython-310.pyc,, +torch/jit/__pycache__/_recursive.cpython-310.pyc,, +torch/jit/__pycache__/_script.cpython-310.pyc,, +torch/jit/__pycache__/_serialization.cpython-310.pyc,, +torch/jit/__pycache__/_shape_functions.cpython-310.pyc,, +torch/jit/__pycache__/_state.cpython-310.pyc,, +torch/jit/__pycache__/_trace.cpython-310.pyc,, +torch/jit/__pycache__/annotations.cpython-310.pyc,, +torch/jit/__pycache__/frontend.cpython-310.pyc,, +torch/jit/__pycache__/generate_bytecode.cpython-310.pyc,, +torch/jit/__pycache__/quantized.cpython-310.pyc,, +torch/jit/__pycache__/supported_ops.cpython-310.pyc,, +torch/jit/__pycache__/unsupported_tensor_ops.cpython-310.pyc,, +torch/jit/_async.py,sha256=ApqdR0FMnbg9FdppgakJ5LXxPspyFfwKXNia8Huu3t8,3783 +torch/jit/_await.py,sha256=r0eS7JGmrHq4HTKuiwg-8gPO6lk9uW-AshQnN3nN_eo,825 +torch/jit/_builtins.py,sha256=IINQERAr_l6ScalKZsqlE4FPgFysA7w0A9Rqg19td9M,6581 +torch/jit/_check.py,sha256=-_rirrnff8ySqzij-FV0Qiew74fC21YPGfgVQp5E6Ow,9335 +torch/jit/_dataclass_impls.py,sha256=vg7rzK9W16bTIcvPUf9IyLSY2BjiZBPhordYzqrP748,6657 +torch/jit/_decomposition_utils.py,sha256=7qJeMZsIE-PgRetub2jKS3KsKE6c0l8lCz9D6ZYizrQ,375 +torch/jit/_decompositions.py,sha256=eXU06DnPLCLK6an5VE59TlEbWRENBzdc8pgaNGDnfbI,4091 +torch/jit/_freeze.py,sha256=lq28qaD4y8fWngDkjKl65o5s81Us4swDJya4Ao3iSns,9426 +torch/jit/_fuser.py,sha256=1dUgZXOaN6Ppw_OLJHWrR30nfwzekXIjKbpHHw7PL90,6999 +torch/jit/_ir_utils.py,sha256=xh7NhnM84-s9cvLufaKPXrcnBmPZiO6gGKX_8NzmFo8,650 +torch/jit/_logging.py,sha256=AXSPcmOG3GZFileVv9IeUES0wb5kjDTYzzsy5fCyj4E,256 +torch/jit/_monkeytype_config.py,sha256=Id80SFzhJKFj0MOb1jfBgA_GMLlo1cEAunB5ZHfDvCQ,7183 +torch/jit/_passes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/jit/_passes/__pycache__/__init__.cpython-310.pyc,, +torch/jit/_passes/__pycache__/_property_propagation.cpython-310.pyc,, +torch/jit/_passes/_property_propagation.py,sha256=OwJRxRjjNidtydXFhtsbrmlfC2bEgdHxYehGNqSvVyo,1436 +torch/jit/_pickle.py,sha256=1YjZMn7zCx3ahGi5IJ1ilzPY3rDEWOBWHySAHgLiYlk,955 +torch/jit/_recursive.py,sha256=YSllVVAV1wqO2msWFuCuaehVo3UJ8C7kR4QcwYv2V60,42496 +torch/jit/_script.py,sha256=FFNi_d1cQmy1IfXYz0fi-srlks1_rLzDd9BNBZT1MgQ,64160 +torch/jit/_serialization.py,sha256=K1B50Oxo1xDWMPfyliVUZjqW2fvyLcftDk16x8_1Wzo,9186 +torch/jit/_shape_functions.py,sha256=b-S5YtbnLyS7btqbWwFOUdVXu2T5ManGCpldDM84HyM,44786 +torch/jit/_state.py,sha256=IYL1VMWHqaMYxnNd0-ej-PJRtZuJbqBonjpD9-ZbURQ,3650 +torch/jit/_trace.py,sha256=EcUZwjB_AnsONHobphlCA05JpMES9OWLlT-b_yOl6g4,51669 +torch/jit/annotations.py,sha256=6bRE760Xzvfr1bpRPc8LVhSZ7CQP6bnRENmeNOR4WKc,17768 +torch/jit/frontend.py,sha256=iG0hKLOOTkx5gFG8i1KVik8x13I1TwXTvNGPfkbzP-w,44419 +torch/jit/generate_bytecode.py,sha256=cYVH5XLZxoW_dfipurqy7WNU1TTZmK9feDblsvaZeMg,1039 +torch/jit/mobile/__init__.py,sha256=3gZ5ZEv0N0JmNBCeF_uvZIKc7k0hbJsSmgVz6oPRhDg,8355 +torch/jit/mobile/__pycache__/__init__.cpython-310.pyc,, +torch/jit/quantized.py,sha256=hUFb--tO7mibNNfC2vioI3iCT4-LqJEm718Gjnxy1ec,27551 +torch/jit/supported_ops.py,sha256=ApJw_EW8h8mGSamiEyK2OItuuSzlQV_Lgn0RdIAnmrQ,10233 +torch/jit/unsupported_tensor_ops.py,sha256=fcadP3YsC1hVNY4XYm26SvJtMlMwFqpFl-nbfStde30,1972 +torch/lib/libc10.so,sha256=5-sVaBsy09024Gzm7s_HMNPZNos7ROGbCkHlEgUcR0o,1252305 +torch/lib/libc10_cuda.so,sha256=OQWD0lUno3Eg_s8BxZM6mS41-JoewR2P8GFxFST3Gmc,651977 +torch/lib/libcaffe2_nvrtc.so,sha256=aYxK1zW1HQL9Ci-3lG6Xz71JTCF1jbdQhP3SMfJf2ZY,22889 +torch/lib/libcusparseLt-f8b4a9fb.so.0,sha256=OziZDXX8PJwyGCCwZDqXQQvVd_oEZdqBrlh-ZKkc1_4,34574129 +torch/lib/libgomp-a34b3233.so.1,sha256=nrAQIbtY7DaSXa61pWYGv6tVgzLrX1EZ6ZDkwgjtJYE,169089 +torch/lib/libshm.so,sha256=hABTVHqf4kpEdVAALCNeZ0ydyVF0Y-YKJ5gjQ3iUqos,48953 +torch/lib/libtorch.so,sha256=raBO6tVrsw5phj1P-q0IcJXg2fAhCrgfMFQxDrqVR8o,196113 +torch/lib/libtorch_cpu.so,sha256=mnynSNnT3HXbbrZxcoLDpyX4L1Wv12TmSrV__mmA4Ek,475077825 +torch/lib/libtorch_cuda.so,sha256=1qYpakGb9Ej8-ZL7gIuaIXekEUQCjvuEQewhIHiCajg,854964849 +torch/lib/libtorch_cuda_linalg.so,sha256=Tvb86HfkDyoTfEwi9sfuGWFSBBgz3t6VgbPcaVBRPhs,85427113 +torch/lib/libtorch_global_deps.so,sha256=r43vSTmy5sHULBgKjY56iPjx2Vg3DOzAY2YPhEuvvgQ,21177 +torch/lib/libtorch_python.so,sha256=Moh8H9It4RLxi2r__mZaDCS64XsUK7EtmbL-w88kYSE,24917665 +torch/library.py,sha256=K2rEQmzYfCfrimid6TU_YJgNq2TA7fzaNDJQe1I3UNI,21391 +torch/linalg/__init__.py,sha256=0KQPWTdUY3Jvnb5bdYUFlms6bA_nHtpgC_3tPsvT_Ho,113728 +torch/linalg/__pycache__/__init__.cpython-310.pyc,, +torch/masked/__init__.py,sha256=9pvmuojmbv9m5PNgKZOo08h2eVZ-sOpk6bmklVdzxnA,627 +torch/masked/__pycache__/__init__.cpython-310.pyc,, +torch/masked/__pycache__/_docs.cpython-310.pyc,, +torch/masked/__pycache__/_ops.cpython-310.pyc,, +torch/masked/_docs.py,sha256=42ZgYJv8NHG9NlnfQgnASl002Zd5aefHu_Qd_G3USsA,49472 +torch/masked/_ops.py,sha256=FV7XL-pxAMnWmAy7vadEpXgdLW2zoespC1ZB5ufX3FI,65253 +torch/masked/maskedtensor/__init__.py,sha256=K62inlHZAKXpPohbbHnlJnrzIQqYpzb4SaHTF4s_hWQ,359 +torch/masked/maskedtensor/__pycache__/__init__.cpython-310.pyc,, +torch/masked/maskedtensor/__pycache__/_ops_refs.cpython-310.pyc,, +torch/masked/maskedtensor/__pycache__/binary.cpython-310.pyc,, +torch/masked/maskedtensor/__pycache__/core.cpython-310.pyc,, +torch/masked/maskedtensor/__pycache__/creation.cpython-310.pyc,, +torch/masked/maskedtensor/__pycache__/passthrough.cpython-310.pyc,, +torch/masked/maskedtensor/__pycache__/reductions.cpython-310.pyc,, +torch/masked/maskedtensor/__pycache__/unary.cpython-310.pyc,, +torch/masked/maskedtensor/_ops_refs.py,sha256=xVMG9S43fS45n2iiqxC3YrBVLBnh5TW3y6FNsyQdHk8,16423 +torch/masked/maskedtensor/binary.py,sha256=L5d93FbHlY0qYWsHL3HF4ZHg3XfN1GZ-D1pkS9O0-Ww,5370 +torch/masked/maskedtensor/core.py,sha256=u20OLJNhFf6R7GdYD5-F3aCwc3N4b4QxDEnmycMFvZY,12385 +torch/masked/maskedtensor/creation.py,sha256=AE7pT-oIOLG5KzcsXisS-DJmKyc9MhopEL4sE1r6kvk,527 +torch/masked/maskedtensor/passthrough.py,sha256=q4pxeePTewI607g6YiSBLShDlX00rJv6dT71DDPSo_s,1276 +torch/masked/maskedtensor/reductions.py,sha256=Y79ye5EreVfHgE4k6zNauTJBG4ATSjKMXasL35Xh8V0,5556 +torch/masked/maskedtensor/unary.py,sha256=kmSt8EG7tcYoFYCOCSeTpsfdclt4FsD3XNo5ZZ22Nyo,4128 +torch/monitor/__init__.py,sha256=nR8eJ0FnT8UuTkWSfVe1K5UForibJBNMM1jLo8QTkXg,1213 +torch/monitor/__pycache__/__init__.cpython-310.pyc,, +torch/mps/__init__.py,sha256=EMVwoiXKEycTRneqap8ZwjmWYp78g0bSm9c5lITbZ4k,4265 +torch/mps/__pycache__/__init__.cpython-310.pyc,, +torch/mps/__pycache__/event.cpython-310.pyc,, +torch/mps/__pycache__/profiler.cpython-310.pyc,, +torch/mps/event.py,sha256=8S_hOu0a1noYHjC8DUuskuIAH9GAF83NkaVgHVwxcjw,1656 +torch/mps/profiler.py,sha256=pD71UF-DZRQ7WkwjVL83FEG15Yb9YpIehYhdNm9207w,2345 +torch/multiprocessing/__init__.py,sha256=vv1x-yoQxTU44Gyg5FXPrXV3BZfgnoBWOpqzIPpHRiA,2487 +torch/multiprocessing/__pycache__/__init__.cpython-310.pyc,, +torch/multiprocessing/__pycache__/_atfork.cpython-310.pyc,, +torch/multiprocessing/__pycache__/pool.cpython-310.pyc,, +torch/multiprocessing/__pycache__/queue.cpython-310.pyc,, +torch/multiprocessing/__pycache__/reductions.cpython-310.pyc,, +torch/multiprocessing/__pycache__/spawn.cpython-310.pyc,, +torch/multiprocessing/_atfork.py,sha256=yEhI42cXiCmm3IGI2flgVcur1sZd7urSFLYS3WwkqHQ,762 +torch/multiprocessing/pool.py,sha256=M4P93j12ZHPdQakHYucZdhq8_u4bIOH-UDelyYt1c5Y,1743 +torch/multiprocessing/queue.py,sha256=O4rGYzzye7tEDsEUaTlH7VXGPPqCQKlqRQbFbC4v2Lc,1450 +torch/multiprocessing/reductions.py,sha256=VWp_l6SxLFz4NMLp4i5ufthv4naWg3ubYzjJxEYP9Hk,21779 +torch/multiprocessing/spawn.py,sha256=YgcHQiCRy652AvZZzfRoCsjru7Pvqw6hBz05KM550Pw,8664 +torch/nested/__init__.py,sha256=18asJ6a__VY7C3EmdTOJ0eVBj7COeRq6asidl7CgTYA,11332 +torch/nested/__pycache__/__init__.cpython-310.pyc,, +torch/nested/_internal/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/nested/_internal/__pycache__/__init__.cpython-310.pyc,, +torch/nested/_internal/__pycache__/nested_tensor.cpython-310.pyc,, +torch/nested/_internal/__pycache__/ops.cpython-310.pyc,, +torch/nested/_internal/__pycache__/sdpa.cpython-310.pyc,, +torch/nested/_internal/nested_tensor.py,sha256=zk-PnfIMkWTobS-joULK_VzsUmlE0huiPl7vYR-P1ZY,16017 +torch/nested/_internal/ops.py,sha256=gSRvwPkC5m-LD5BA4SVaxv7YCDfbY9Bv0aj1cAN9Ltc,31189 +torch/nested/_internal/sdpa.py,sha256=kYaUjX9Pw7KAshzQ85BnZsBQWBNSHD8TLyg6D01oD1k,26912 +torch/nn/__init__.py,sha256=NpxRsOUTsWcRPXXd41Y3gcoGEh_07qPPPmF7NVbYBsA,2150 +torch/nn/__pycache__/__init__.cpython-310.pyc,, +torch/nn/__pycache__/_reduction.cpython-310.pyc,, +torch/nn/__pycache__/common_types.cpython-310.pyc,, +torch/nn/__pycache__/cpp.cpython-310.pyc,, +torch/nn/__pycache__/functional.cpython-310.pyc,, +torch/nn/__pycache__/grad.cpython-310.pyc,, +torch/nn/__pycache__/init.cpython-310.pyc,, +torch/nn/__pycache__/parameter.cpython-310.pyc,, +torch/nn/_reduction.py,sha256=GFubErXF9m01WzUcxNSAHVq6YQxsHxdoLqO2VVBzml0,1556 +torch/nn/backends/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/nn/backends/__pycache__/__init__.cpython-310.pyc,, +torch/nn/backends/__pycache__/thnn.cpython-310.pyc,, +torch/nn/backends/thnn.py,sha256=BKzqnDMCwANVgNYTMKILvPvBnqJDBY0rM7ePUYw1jRo,118 +torch/nn/common_types.py,sha256=M8LbPzJIu9jl-KN2mOHBTenSqJpP4rs8f7f0d1CWr1E,1841 +torch/nn/cpp.py,sha256=sf94YYXT7wwJ7RfBKkQPa8AHMruOCJ4U7SQI1njZgNU,2990 +torch/nn/functional.py,sha256=1v_hCodOYLR3-Om4I1P-3nBFfjcOMf5Uvje6kWnY-VQ,225620 +torch/nn/functional.pyi,sha256=7stALkQOseXvMyDYc9szdvO2fmgrhHbZJwWiRDEPRGQ,23155 +torch/nn/grad.py,sha256=nh0xSnQ2CdcO-bTvkZeQMASe0AfUEY82nQVW66lXPU8,9683 +torch/nn/init.py,sha256=c69QUwndxu9BKWgpNrdEBXDNDJ1SyN4WvJphMArT9MI,21827 +torch/nn/intrinsic/__init__.py,sha256=OhtaKp08Bf-FKk-eNcvNujWkhyU5bkFvkfNkUMX8lLA,1072 +torch/nn/intrinsic/__pycache__/__init__.cpython-310.pyc,, +torch/nn/intrinsic/modules/__init__.py,sha256=2JlBSE6zO591fF36hPL7DmyXt4ZbTJbJ3u6xiS4eBA4,678 +torch/nn/intrinsic/modules/__pycache__/__init__.cpython-310.pyc,, +torch/nn/intrinsic/modules/__pycache__/fused.cpython-310.pyc,, +torch/nn/intrinsic/modules/fused.py,sha256=uqYu7W0MolWDMdw8kTeFAf_9vpjEW66vwMdZMEmuHIY,901 +torch/nn/intrinsic/qat/__init__.py,sha256=M0iylhjuqtPcbO2pAVdDg9n9e1ET359nQ9txOEErmMo,37 +torch/nn/intrinsic/qat/__pycache__/__init__.cpython-310.pyc,, +torch/nn/intrinsic/qat/modules/__init__.py,sha256=k99vQqwhgrdNcCFhUs9xb82U_Y1G4LCTbkZJ3gaEgNI,546 +torch/nn/intrinsic/qat/modules/__pycache__/__init__.cpython-310.pyc,, +torch/nn/intrinsic/qat/modules/__pycache__/conv_fused.cpython-310.pyc,, +torch/nn/intrinsic/qat/modules/__pycache__/linear_fused.cpython-310.pyc,, +torch/nn/intrinsic/qat/modules/__pycache__/linear_relu.cpython-310.pyc,, +torch/nn/intrinsic/qat/modules/conv_fused.py,sha256=OIq8fy6Y-0Md2pYfv2Zjygqx1_6olUFYP8f-xzneLUs,1174 +torch/nn/intrinsic/qat/modules/linear_fused.py,sha256=xc7XWxaIYj3WT7jlERgDfuPv6oym8qEo7HBr1emNrIw,454 +torch/nn/intrinsic/qat/modules/linear_relu.py,sha256=gVTtqk0DP6CNgQaecePiKZbMqUHJht8qZbP7qvMEVNc,454 +torch/nn/intrinsic/quantized/__init__.py,sha256=Uf-JCGsr6NGF0RIlvULtAnRljdju3ikCCKWKDmnN0tg,279 +torch/nn/intrinsic/quantized/__pycache__/__init__.cpython-310.pyc,, +torch/nn/intrinsic/quantized/dynamic/__init__.py,sha256=M0iylhjuqtPcbO2pAVdDg9n9e1ET359nQ9txOEErmMo,37 +torch/nn/intrinsic/quantized/dynamic/__pycache__/__init__.cpython-310.pyc,, +torch/nn/intrinsic/quantized/dynamic/modules/__init__.py,sha256=lkMt6s828aFw7-gWI756-da8_85esiNfiBZvWYXTZTY,69 +torch/nn/intrinsic/quantized/dynamic/modules/__pycache__/__init__.cpython-310.pyc,, +torch/nn/intrinsic/quantized/dynamic/modules/__pycache__/linear_relu.cpython-310.pyc,, +torch/nn/intrinsic/quantized/dynamic/modules/linear_relu.py,sha256=mAk1IaHbDUbydRywsAoC5i_lkWmp7BbH1Wmnuoxh0e0,96 +torch/nn/intrinsic/quantized/modules/__init__.py,sha256=f-CbY2BNb5WU5_IEc_CxZYdXFcautBTg1eKGCxBTrtA,253 +torch/nn/intrinsic/quantized/modules/__pycache__/__init__.cpython-310.pyc,, +torch/nn/intrinsic/quantized/modules/__pycache__/bn_relu.cpython-310.pyc,, +torch/nn/intrinsic/quantized/modules/__pycache__/conv_relu.cpython-310.pyc,, +torch/nn/intrinsic/quantized/modules/__pycache__/linear_relu.cpython-310.pyc,, +torch/nn/intrinsic/quantized/modules/bn_relu.py,sha256=Lu4COiO8pvzJHny9UXqXXv6v9kj6Qc6PvCsJdtujXHo,153 +torch/nn/intrinsic/quantized/modules/conv_relu.py,sha256=4Xxx-Wp87tMHyKcKb4xb0G5jjbFXgox2CCsDdJhyNvE,234 +torch/nn/intrinsic/quantized/modules/linear_relu.py,sha256=9r7rHon00-NJ9wp1qVMRjOxMjiSbA4h_EzS2ecCv7nc,88 +torch/nn/modules/__init__.py,sha256=Yfk8u40uyD_uSNPwMAkFX3YSrfZfhjeuG7i3IfQOfdc,5327 +torch/nn/modules/__pycache__/__init__.cpython-310.pyc,, +torch/nn/modules/__pycache__/_functions.cpython-310.pyc,, +torch/nn/modules/__pycache__/activation.cpython-310.pyc,, +torch/nn/modules/__pycache__/adaptive.cpython-310.pyc,, +torch/nn/modules/__pycache__/batchnorm.cpython-310.pyc,, +torch/nn/modules/__pycache__/channelshuffle.cpython-310.pyc,, +torch/nn/modules/__pycache__/container.cpython-310.pyc,, +torch/nn/modules/__pycache__/conv.cpython-310.pyc,, +torch/nn/modules/__pycache__/distance.cpython-310.pyc,, +torch/nn/modules/__pycache__/dropout.cpython-310.pyc,, +torch/nn/modules/__pycache__/flatten.cpython-310.pyc,, +torch/nn/modules/__pycache__/fold.cpython-310.pyc,, +torch/nn/modules/__pycache__/instancenorm.cpython-310.pyc,, +torch/nn/modules/__pycache__/lazy.cpython-310.pyc,, +torch/nn/modules/__pycache__/linear.cpython-310.pyc,, +torch/nn/modules/__pycache__/loss.cpython-310.pyc,, +torch/nn/modules/__pycache__/module.cpython-310.pyc,, +torch/nn/modules/__pycache__/normalization.cpython-310.pyc,, +torch/nn/modules/__pycache__/padding.cpython-310.pyc,, +torch/nn/modules/__pycache__/pixelshuffle.cpython-310.pyc,, +torch/nn/modules/__pycache__/pooling.cpython-310.pyc,, +torch/nn/modules/__pycache__/rnn.cpython-310.pyc,, +torch/nn/modules/__pycache__/sparse.cpython-310.pyc,, +torch/nn/modules/__pycache__/transformer.cpython-310.pyc,, +torch/nn/modules/__pycache__/upsampling.cpython-310.pyc,, +torch/nn/modules/__pycache__/utils.cpython-310.pyc,, +torch/nn/modules/_functions.py,sha256=gw1eYGf3hmvXsiqOnan4FjH0orv3CtTjyJK_aO9-AGI,11788 +torch/nn/modules/activation.py,sha256=S72DcMiywBqRmfGkuoAiGj-b000wJaDypC5iQ1flwPw,55839 +torch/nn/modules/adaptive.py,sha256=iAV8T9Lj0UsiD1QqgchO8jipjnXYBG4OmhsMOhi4p_A,12164 +torch/nn/modules/batchnorm.py,sha256=fUge2NyEbMRzweRh1wkmjBI21NibyDK3479xtjEm7Gg,37742 +torch/nn/modules/channelshuffle.py,sha256=wzuErGaPUPq9VrDQlRZTtLYjtquplw6-BuUa_ZZoXU0,1430 +torch/nn/modules/container.py,sha256=jioYKYEa-YRcuL-SAM5m68rJHvx9a6XXiyHMcLNFQPY,34400 +torch/nn/modules/conv.py,sha256=LermiaZLmN4nUEAfq9EtonnB3Zu8lu2a7DxDlGnQT6g,72637 +torch/nn/modules/distance.py,sha256=r81R0UHbLtZC8BYg0_aXbRSDV5ZMRABas26P2SSX144,3249 +torch/nn/modules/dropout.py,sha256=2k-cedcok4T7qr08W-FtvplQg1cFoRzZcRnfKS-fY70,11127 +torch/nn/modules/flatten.py,sha256=vboG7J4t73SaWpJ9XTyYVZVuAs72kdQUs4ku85b3DBw,5404 +torch/nn/modules/fold.py,sha256=7WWF_N9ZvXpJwzILMZjYqCZ18g4I_Oajcj3m1ge2rA4,12763 +torch/nn/modules/instancenorm.py,sha256=VOXRMU9Plo-L10MT3q9bcrH0f8EQ-i1IS6bk89SmsmQ,19967 +torch/nn/modules/lazy.py,sha256=w2mB0CvwBX3V1zQCNCuRzLN1UdkA2M9okDtVutIppCI,11689 +torch/nn/modules/linear.py,sha256=ht3GAQ6URZDrOesSv82mcWvl2oNKDzPETAVOmP-tDGU,10528 +torch/nn/modules/loss.py,sha256=AXzBu9vlo-femvRvTJ1WOo2loedBOF6fTmnF7kiPJ8I,91154 +torch/nn/modules/module.py,sha256=QeZn1-hIs_g-nlpE02DQOtEpwf8J-PfGA9fDulnOXyo,111402 +torch/nn/modules/normalization.py,sha256=kbxlAZxeICDVqC0tROMw0jroSki5hBowUY9-3LTwLbs,11374 +torch/nn/modules/padding.py,sha256=iD77WTUkCA4kwXkrgLCs_mNAx1hPWhtmz1DGbfpvmAY,30179 +torch/nn/modules/pixelshuffle.py,sha256=QF51OZYKxLmoPTpamQDQCRBsEIk19EPxwnj02paq6Rc,3677 +torch/nn/modules/pooling.py,sha256=GVMFpBujjs1vCYkFCh7d0R0kwsWRzVmXM-5TB1oc4lo,53942 +torch/nn/modules/rnn.py,sha256=m01RWt6t0bLmlBzg2G4aLVn-XbECDfup7A3tWBtmxu0,68577 +torch/nn/modules/sparse.py,sha256=_qG23MtG3wN5lHMUJRj5MMvQvKl_E3vbQO6orRpgtCU,23391 +torch/nn/modules/transformer.py,sha256=LDdpazRyY0cwcPbs-Ql0wGEw39KW_HB8ceKJekQLGkw,45812 +torch/nn/modules/upsampling.py,sha256=pfeqMkh32ZxDltVK0jy878h63V1yyaE2YyEOLyW76u4,11312 +torch/nn/modules/utils.py,sha256=rsYJ_9Vl8B_bKJTDFix3t1TNbtUnDX6ZyJdqnUd-MSs,2416 +torch/nn/parallel/__init__.py,sha256=km7Mu0iR61itcFw6ElJaZn_j8qTXQHy518vX0MUyWqI,645 +torch/nn/parallel/__pycache__/__init__.cpython-310.pyc,, +torch/nn/parallel/__pycache__/_functions.cpython-310.pyc,, +torch/nn/parallel/__pycache__/comm.cpython-310.pyc,, +torch/nn/parallel/__pycache__/data_parallel.cpython-310.pyc,, +torch/nn/parallel/__pycache__/distributed.cpython-310.pyc,, +torch/nn/parallel/__pycache__/parallel_apply.cpython-310.pyc,, +torch/nn/parallel/__pycache__/replicate.cpython-310.pyc,, +torch/nn/parallel/__pycache__/scatter_gather.cpython-310.pyc,, +torch/nn/parallel/_functions.py,sha256=7_rjdDRBmXeswoIL8fHcEZEU-O7Hv0xx54h-63EAms0,4829 +torch/nn/parallel/comm.py,sha256=0N9-PQh93EO6nJmNvvEO9vco6zICTM600Sj8bo2bYaQ,10646 +torch/nn/parallel/data_parallel.py,sha256=D_KG9BZNkvBJderH7ozdN4kw1ncsx0RlpQRWs0FKJrw,11541 +torch/nn/parallel/distributed.py,sha256=S5jW3TeFmDIqhRVhPzqh96OaTZ5omv9LXCXr4cSrz_Q,102474 +torch/nn/parallel/parallel_apply.py,sha256=lckEOTyvLiz1NJ6Ka-HBCHF8X02x4kwkt_67wOichRo,4292 +torch/nn/parallel/replicate.py,sha256=dMESH0_hJHIrYhd9bO1PUomybq4AXrNZmtfWtLhHbuk,6757 +torch/nn/parallel/scatter_gather.py,sha256=Hqcd5I2BRqORIWOT36G2W1xpHWGZ-PaBgBiYndcXp4M,4296 +torch/nn/parameter.py,sha256=ajkLZLTGbaGBkq4nmRsGHUgGk75_xKZdYIjTXldlGH4,9462 +torch/nn/parameter.pyi,sha256=arTEdWgH39nSpMrNyOKzXp8W5MxkRHDb0tFCDTjkgbw,909 +torch/nn/qat/__init__.py,sha256=H93oKQuFv32Gn9f1PM3z0Rb33HKk2edbGo9kUEXGFcU,367 +torch/nn/qat/__pycache__/__init__.cpython-310.pyc,, +torch/nn/qat/dynamic/__init__.py,sha256=xuz1hBmzVjgh_xTiw4wLtCKcgXgXilirgUQEmjxzLoY,187 +torch/nn/qat/dynamic/__pycache__/__init__.cpython-310.pyc,, +torch/nn/qat/dynamic/modules/__init__.py,sha256=juJpue0ixFC8Vq3-HlcHdDRBPTd7H2jLGvdyQFwQzgk,49 +torch/nn/qat/dynamic/modules/__pycache__/__init__.cpython-310.pyc,, +torch/nn/qat/dynamic/modules/__pycache__/linear.cpython-310.pyc,, +torch/nn/qat/dynamic/modules/linear.py,sha256=6UAtM_9i3TRoQPuOyDnWtXTvNdRYZekKqBTopaHXLxQ,415 +torch/nn/qat/modules/__init__.py,sha256=lsJndKS9ItNcxvZ-93so11_Z3lIQtJRH-Nm5Qn-TP-0,587 +torch/nn/qat/modules/__pycache__/__init__.cpython-310.pyc,, +torch/nn/qat/modules/__pycache__/conv.cpython-310.pyc,, +torch/nn/qat/modules/__pycache__/embedding_ops.cpython-310.pyc,, +torch/nn/qat/modules/__pycache__/linear.cpython-310.pyc,, +torch/nn/qat/modules/conv.py,sha256=EFUZUP7ZVkZF_SxcB-Tto-S8kU9cEUetR-xeFPH63_M,485 +torch/nn/qat/modules/embedding_ops.py,sha256=gVlvELAJNPjJck2TLnDLQNJJ8R_2lncZnY8U_ly6Y4Y,506 +torch/nn/qat/modules/linear.py,sha256=W18E_sx1dwIj03StoKVN_VPKlJYq1hoy4KTCobCbA7M,391 +torch/nn/quantizable/__init__.py,sha256=M0iylhjuqtPcbO2pAVdDg9n9e1ET359nQ9txOEErmMo,37 +torch/nn/quantizable/__pycache__/__init__.cpython-310.pyc,, +torch/nn/quantizable/modules/__init__.py,sha256=5H8qKn-MWNN8aECtVfBqeV5pK04GxpTezefPZl9xQyE,253 +torch/nn/quantizable/modules/__pycache__/__init__.cpython-310.pyc,, +torch/nn/quantizable/modules/__pycache__/activation.cpython-310.pyc,, +torch/nn/quantizable/modules/__pycache__/rnn.cpython-310.pyc,, +torch/nn/quantizable/modules/activation.py,sha256=JvTGKm47nxF0xOdaJd-rVls-jrJFtYGu-YTZtrs5agI,439 +torch/nn/quantizable/modules/rnn.py,sha256=l1sllwPt0_IBSTm0KJKNKDsIA1vIyg6EFzf0IXbhIDM,475 +torch/nn/quantized/__init__.py,sha256=cwMqCJdFaRQQGM1j4MzVepOmu5t1HIX60-3T0WW-jgc,771 +torch/nn/quantized/__pycache__/__init__.cpython-310.pyc,, +torch/nn/quantized/__pycache__/functional.cpython-310.pyc,, +torch/nn/quantized/_reference/__init__.py,sha256=M0iylhjuqtPcbO2pAVdDg9n9e1ET359nQ9txOEErmMo,37 +torch/nn/quantized/_reference/__pycache__/__init__.cpython-310.pyc,, +torch/nn/quantized/_reference/modules/__init__.py,sha256=HLAQUjUeDJLCVsRst6ualEUeT9hj_uRV-oMF56Asz4I,988 +torch/nn/quantized/_reference/modules/__pycache__/__init__.cpython-310.pyc,, +torch/nn/quantized/_reference/modules/__pycache__/conv.cpython-310.pyc,, +torch/nn/quantized/_reference/modules/__pycache__/linear.cpython-310.pyc,, +torch/nn/quantized/_reference/modules/__pycache__/rnn.cpython-310.pyc,, +torch/nn/quantized/_reference/modules/__pycache__/sparse.cpython-310.pyc,, +torch/nn/quantized/_reference/modules/__pycache__/utils.cpython-310.pyc,, +torch/nn/quantized/_reference/modules/conv.py,sha256=tfdo_boThHJ-YYIzQmcx6STG8cOJS-NYCMTcysqTPp4,934 +torch/nn/quantized/_reference/modules/linear.py,sha256=Cu-oS3rGRNtFQX8C8yBiLIeORYswqNnFbVw3ds6PMKQ,450 +torch/nn/quantized/_reference/modules/rnn.py,sha256=73pD23A2fMFnmjnjoK_yP3tdT0_8cDNXWmYEHJrtY2c,770 +torch/nn/quantized/_reference/modules/sparse.py,sha256=0mgV1abz95CVu_NJ-uptCtvEzUQiMOiacJvtuqClM7M,525 +torch/nn/quantized/_reference/modules/utils.py,sha256=FirWppy6vEhrbY-mUDlxyFasKMc0750KeUrR0YA_7Y4,792 +torch/nn/quantized/dynamic/__init__.py,sha256=lN8JfmyIwtMWNsOD0hWGgKMVPUXuUb5cu6QOvIlEJxg,58 +torch/nn/quantized/dynamic/__pycache__/__init__.cpython-310.pyc,, +torch/nn/quantized/dynamic/modules/__init__.py,sha256=ubQ6S0qDpPNDkZHnJqgQhjhZI8mEbrANilUqnVggvTE,1037 +torch/nn/quantized/dynamic/modules/__pycache__/__init__.cpython-310.pyc,, +torch/nn/quantized/dynamic/modules/__pycache__/conv.cpython-310.pyc,, +torch/nn/quantized/dynamic/modules/__pycache__/linear.cpython-310.pyc,, +torch/nn/quantized/dynamic/modules/__pycache__/rnn.cpython-310.pyc,, +torch/nn/quantized/dynamic/modules/conv.py,sha256=OluHe7u-4cAeV1Isqh3hg5rEQytXPOwRpxuizKeczIc,882 +torch/nn/quantized/dynamic/modules/linear.py,sha256=9hI6zBpmeAs_hCwTr0QeEm7ouFfYjjGq0QHw7lwPvrs,447 +torch/nn/quantized/dynamic/modules/rnn.py,sha256=pM8tQT2LQL5VvqCTjuEUfAdsBUdy6tZzKaxZrp6NXfE,1094 +torch/nn/quantized/functional.py,sha256=YLagkINzH1ksH0zcEEizTr0Wdu8gvziqPkx-elbUkJE,276 +torch/nn/quantized/modules/__init__.py,sha256=1svpPm2TxoH2efXMMbCFo4XRG9MW9VGh93dTItqRW44,2434 +torch/nn/quantized/modules/__pycache__/__init__.cpython-310.pyc,, +torch/nn/quantized/modules/__pycache__/activation.cpython-310.pyc,, +torch/nn/quantized/modules/__pycache__/batchnorm.cpython-310.pyc,, +torch/nn/quantized/modules/__pycache__/conv.cpython-310.pyc,, +torch/nn/quantized/modules/__pycache__/dropout.cpython-310.pyc,, +torch/nn/quantized/modules/__pycache__/embedding_ops.cpython-310.pyc,, +torch/nn/quantized/modules/__pycache__/functional_modules.cpython-310.pyc,, +torch/nn/quantized/modules/__pycache__/linear.cpython-310.pyc,, +torch/nn/quantized/modules/__pycache__/normalization.cpython-310.pyc,, +torch/nn/quantized/modules/__pycache__/rnn.cpython-310.pyc,, +torch/nn/quantized/modules/__pycache__/utils.cpython-310.pyc,, +torch/nn/quantized/modules/activation.py,sha256=XRi47-nXXUz223d1fhqeWOl5pa5aItGxp4IvchgY8LQ,855 +torch/nn/quantized/modules/batchnorm.py,sha256=2-loBNbcXCZdkJLbFxq9V-xbQCQ9fIVMQEiQAkrV4J4,488 +torch/nn/quantized/modules/conv.py,sha256=ox8DKxQDt_UNhc2iWVtQmkSAy7eNLDs-y91_FWHRsYo,883 +torch/nn/quantized/modules/dropout.py,sha256=jQW8VHFmOuihBFOPL3p4SwR0KUqKHXAQOuTBWaxMr7Q,441 +torch/nn/quantized/modules/embedding_ops.py,sha256=noT7AglbpFbKlqZZPDu9VjpAQOaiSu67qL4b8GLN7IM,639 +torch/nn/quantized/modules/functional_modules.py,sha256=5dwT8ysnqbRkc0gQdjkzmcHNGYiJfoLj6z_mvC5ay7w,656 +torch/nn/quantized/modules/linear.py,sha256=Eg2rcE7jrav3zUvuTXuG4lX9PbyBICvA0XBWFXB2Juc,528 +torch/nn/quantized/modules/normalization.py,sha256=Q5HvoR1C07ymBFskdo8y2TUzp_TvTV9D2ATY78axB74,797 +torch/nn/quantized/modules/rnn.py,sha256=NWI5IuH_qaC1YD1ROeoUbodbN3yS0MrZKOhXLmGfPDo,411 +torch/nn/quantized/modules/utils.py,sha256=Zm1edjXDuRsVICYjgkiKSRMCGbIeFLDT4-WquDruY4E,702 +torch/nn/utils/__init__.py,sha256=Lb9rfzTiSC0iusX7Gd4Qj0Tw6xe71UPB40gIIa2H6Uk,993 +torch/nn/utils/__pycache__/__init__.cpython-310.pyc,, +torch/nn/utils/__pycache__/_deprecation_utils.cpython-310.pyc,, +torch/nn/utils/__pycache__/_named_member_accessor.cpython-310.pyc,, +torch/nn/utils/__pycache__/_per_sample_grad.cpython-310.pyc,, +torch/nn/utils/__pycache__/clip_grad.cpython-310.pyc,, +torch/nn/utils/__pycache__/convert_parameters.cpython-310.pyc,, +torch/nn/utils/__pycache__/fusion.cpython-310.pyc,, +torch/nn/utils/__pycache__/init.cpython-310.pyc,, +torch/nn/utils/__pycache__/memory_format.cpython-310.pyc,, +torch/nn/utils/__pycache__/parametrizations.cpython-310.pyc,, +torch/nn/utils/__pycache__/parametrize.cpython-310.pyc,, +torch/nn/utils/__pycache__/prune.cpython-310.pyc,, +torch/nn/utils/__pycache__/rnn.cpython-310.pyc,, +torch/nn/utils/__pycache__/spectral_norm.cpython-310.pyc,, +torch/nn/utils/__pycache__/stateless.cpython-310.pyc,, +torch/nn/utils/__pycache__/weight_norm.cpython-310.pyc,, +torch/nn/utils/_deprecation_utils.py,sha256=Ew7-U21cOKSRYgVsE8-Ze6ttd-CNc7l0Zv6jh5D-7Ng,1646 +torch/nn/utils/_expanded_weights/__init__.py,sha256=xky9oo9e6irPwJixwzIyHy-3mUoPUdQWpl6U5YNavNA,451 +torch/nn/utils/_expanded_weights/__pycache__/__init__.cpython-310.pyc,, +torch/nn/utils/_expanded_weights/__pycache__/conv_expanded_weights.cpython-310.pyc,, +torch/nn/utils/_expanded_weights/__pycache__/conv_utils.cpython-310.pyc,, +torch/nn/utils/_expanded_weights/__pycache__/embedding_expanded_weights.cpython-310.pyc,, +torch/nn/utils/_expanded_weights/__pycache__/expanded_weights_impl.cpython-310.pyc,, +torch/nn/utils/_expanded_weights/__pycache__/expanded_weights_utils.cpython-310.pyc,, +torch/nn/utils/_expanded_weights/__pycache__/group_norm_expanded_weights.cpython-310.pyc,, +torch/nn/utils/_expanded_weights/__pycache__/instance_norm_expanded_weights.cpython-310.pyc,, +torch/nn/utils/_expanded_weights/__pycache__/layer_norm_expanded_weights.cpython-310.pyc,, +torch/nn/utils/_expanded_weights/__pycache__/linear_expanded_weights.cpython-310.pyc,, +torch/nn/utils/_expanded_weights/conv_expanded_weights.py,sha256=a8RAEv4PSgsAymvFk5VmNTkZSxZwb6SwdHTRORRGPpc,2448 +torch/nn/utils/_expanded_weights/conv_utils.py,sha256=G4gVN35maXgmmPWfa9o9_vlchqkuyj5zEwGNrfZg5R8,9707 +torch/nn/utils/_expanded_weights/embedding_expanded_weights.py,sha256=DKYq63Ulelc9wvcnSbcqZQCAvCigjygeFLdo8ePzqeY,2473 +torch/nn/utils/_expanded_weights/expanded_weights_impl.py,sha256=55iV_xII8T76cazJkEOwldhz39Sm3B_LC_R9awhC9qk,5859 +torch/nn/utils/_expanded_weights/expanded_weights_utils.py,sha256=h7JKp5PPRvh7Xv7kTk9NHAv0f5U1wvbH7NAnlBwwO5I,7324 +torch/nn/utils/_expanded_weights/group_norm_expanded_weights.py,sha256=1j5LeIf2d74n1lzvmOQTPTurSfJk2FIwV2oc8A8HFBY,2938 +torch/nn/utils/_expanded_weights/instance_norm_expanded_weights.py,sha256=kXK4IWsAOENf2QbNTPE22yUcIgTQucOorblmxBHjf58,3249 +torch/nn/utils/_expanded_weights/layer_norm_expanded_weights.py,sha256=4icvbutO1rDJDq0vZaYRRhr4KTNPsGJTg451O7N8uQs,2861 +torch/nn/utils/_expanded_weights/linear_expanded_weights.py,sha256=i5_GUDn53xkOs7_A1ozcDu1gcPorIa_kxIKI8ZiAaNA,2072 +torch/nn/utils/_named_member_accessor.py,sha256=W47nDfSZSZiYcNMP_JztWQq7230nfbZqkVSFUuEnYaM,14217 +torch/nn/utils/_per_sample_grad.py,sha256=p3M4ooliRYZhLrEXOBVNIzj8-HEQ2kRrD0JMQ0WVzdg,5587 +torch/nn/utils/clip_grad.py,sha256=79skEK1NzkYQ7nhiTEHfRkWROucjsc6L5-F5rE0uyB4,6737 +torch/nn/utils/convert_parameters.py,sha256=sbhhw_DqSC5kvzeKZQWbj-g9XG8ZAKbpDMXcndjGZyA,3152 +torch/nn/utils/fusion.py,sha256=qRzIY7gImqhULD92JCfLNlgWYpkIY7uedGMncDFD1Og,5411 +torch/nn/utils/init.py,sha256=QOETK_0ezJz1AHewx-FHiI2t9nNNat-bign_yX1hpvo,2224 +torch/nn/utils/memory_format.py,sha256=-9f3nBmCWHArc_jpxMmXPaKVzd8HLEwT8zElQFzi_uc,3886 +torch/nn/utils/parametrizations.py,sha256=mcQ2-T0E9rvl28OedeEjLRWQcmTST5ULeu91ryhIU_k,25154 +torch/nn/utils/parametrize.py,sha256=TdgaHZETc1oQjq0gTQoY7AkpGOd5kcXh0La0V2wf78k,34894 +torch/nn/utils/prune.py,sha256=JpwZHmO_KpvK01T-GDEfYZ4P4m1MuVmSYizIP4rJqsc,57827 +torch/nn/utils/rnn.py,sha256=In7FD58MvYzsEszqxjDOh1L3_dhmW5rz16wjB3gOYfk,21263 +torch/nn/utils/spectral_norm.py,sha256=Ox_m89uJAWA2XnFTIOQIgmQ_ItWL3QN8KlkIqI0IyFk,14495 +torch/nn/utils/stateless.py,sha256=1su0IAsgmOkXYFgrC24yDAwE932LWQk9PRmAqy3kbGE,11004 +torch/nn/utils/weight_norm.py,sha256=KV8hbJGvMNJGCADyTLDJYrQyUMoIs6LZ2ap37otYS74,5691 +torch/onnx/__init__.py,sha256=yx1AdhLFvW_ion2jAPJpxOG7RJ9DhgzqTRXlbXhXEso,4619 +torch/onnx/__pycache__/__init__.cpython-310.pyc,, +torch/onnx/__pycache__/_constants.cpython-310.pyc,, +torch/onnx/__pycache__/_deprecation.cpython-310.pyc,, +torch/onnx/__pycache__/_experimental.cpython-310.pyc,, +torch/onnx/__pycache__/_exporter_states.cpython-310.pyc,, +torch/onnx/__pycache__/_globals.cpython-310.pyc,, +torch/onnx/__pycache__/_onnx_supported_ops.cpython-310.pyc,, +torch/onnx/__pycache__/_type_utils.cpython-310.pyc,, +torch/onnx/__pycache__/errors.cpython-310.pyc,, +torch/onnx/__pycache__/operators.cpython-310.pyc,, +torch/onnx/__pycache__/symbolic_caffe2.cpython-310.pyc,, +torch/onnx/__pycache__/symbolic_helper.cpython-310.pyc,, +torch/onnx/__pycache__/symbolic_opset10.cpython-310.pyc,, +torch/onnx/__pycache__/symbolic_opset11.cpython-310.pyc,, +torch/onnx/__pycache__/symbolic_opset12.cpython-310.pyc,, +torch/onnx/__pycache__/symbolic_opset13.cpython-310.pyc,, +torch/onnx/__pycache__/symbolic_opset14.cpython-310.pyc,, +torch/onnx/__pycache__/symbolic_opset15.cpython-310.pyc,, +torch/onnx/__pycache__/symbolic_opset16.cpython-310.pyc,, +torch/onnx/__pycache__/symbolic_opset17.cpython-310.pyc,, +torch/onnx/__pycache__/symbolic_opset18.cpython-310.pyc,, +torch/onnx/__pycache__/symbolic_opset7.cpython-310.pyc,, +torch/onnx/__pycache__/symbolic_opset8.cpython-310.pyc,, +torch/onnx/__pycache__/symbolic_opset9.cpython-310.pyc,, +torch/onnx/__pycache__/utils.cpython-310.pyc,, +torch/onnx/__pycache__/verification.cpython-310.pyc,, +torch/onnx/_constants.py,sha256=FF3OjL47FAo9tIYd64fvWbUqS8Skzp0OQ77PLC-cgys,608 +torch/onnx/_deprecation.py,sha256=1c6-sbkqIzuubf3QvMt3zaQf36IlOWDZ8j83-LkCiwU,2033 +torch/onnx/_experimental.py,sha256=UPsO6P4mL7RiLdoRMWkX5qxNyttMdUIkKsQ5_ZQ4rpE,1042 +torch/onnx/_exporter_states.py,sha256=RdYRniYLGLlC8GNoRzkG0bqvPT56Qr1RZ5Ma_nE3aPs,1365 +torch/onnx/_globals.py,sha256=RNh59e1PYIeZnrlkiqu4yThnD7WLwkiF9GHFy3-iwyc,2968 +torch/onnx/_internal/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/onnx/_internal/__pycache__/__init__.cpython-310.pyc,, +torch/onnx/_internal/__pycache__/_beartype.cpython-310.pyc,, +torch/onnx/_internal/__pycache__/exporter.cpython-310.pyc,, +torch/onnx/_internal/__pycache__/io_adapter.cpython-310.pyc,, +torch/onnx/_internal/__pycache__/jit_utils.cpython-310.pyc,, +torch/onnx/_internal/__pycache__/onnx_proto_utils.cpython-310.pyc,, +torch/onnx/_internal/__pycache__/onnxruntime.cpython-310.pyc,, +torch/onnx/_internal/__pycache__/registration.cpython-310.pyc,, +torch/onnx/_internal/_beartype.py,sha256=w2RJ0I9sUhkjQiddzZOIx9jgJs8_QuKGT_F_maMSWrc,4625 +torch/onnx/_internal/diagnostics/__init__.py,sha256=-zJC6TxIO-LS1-gDRI_t3O2WZSAnojr5AH71UwUh4zc,433 +torch/onnx/_internal/diagnostics/__pycache__/__init__.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/__pycache__/_diagnostic.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/__pycache__/_rules.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/_diagnostic.py,sha256=ko3GsXuvv4xbrAXqF_le_gw9ER3v4L4wB3sMd1xuQdo,7322 +torch/onnx/_internal/diagnostics/_rules.py,sha256=hBISZCC7sgR15N6ILrK94PGV0jIPWXeyS2rW4Pjqle0,37236 +torch/onnx/_internal/diagnostics/infra/__init__.py,sha256=_zOoWhG-xR49LIA_9wDWEgPDF6nwRekLNUbgwPMfUA4,573 +torch/onnx/_internal/diagnostics/infra/__pycache__/__init__.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/__pycache__/_infra.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/__pycache__/context.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/__pycache__/decorator.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/__pycache__/formatter.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/__pycache__/utils.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/_infra.py,sha256=a8V6hknKungqJx9yg0CwtGI2-Sy5D4g3978ZeXSvsRs,9757 +torch/onnx/_internal/diagnostics/infra/context.py,sha256=CkipaHyHP3Ask-QIWBjCZMpI83FpYgQQFfaV_wMqsrU,16305 +torch/onnx/_internal/diagnostics/infra/decorator.py,sha256=hvJt0k5BBtTsARf4o9WnBm6nn9P9Ry3cZiEBFAe_2xA,5542 +torch/onnx/_internal/diagnostics/infra/formatter.py,sha256=zVtLX0O5kO7rru4DjOiX8fiwhKRJYPm3c5zA06w3C4g,3014 +torch/onnx/_internal/diagnostics/infra/sarif/__init__.py,sha256=Uj_QD1YO_8cyF_3xcoyZ05wi5uBgrwKP9fNZrpOwDS4,4984 +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/__init__.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_address.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_artifact.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_artifact_change.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_artifact_content.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_artifact_location.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_attachment.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_code_flow.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_configuration_override.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_conversion.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_edge.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_edge_traversal.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_exception.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_external_properties.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_external_property_file_reference.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_external_property_file_references.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_fix.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_graph.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_graph_traversal.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_invocation.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_location.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_location_relationship.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_logical_location.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_message.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_multiformat_message_string.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_node.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_notification.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_physical_location.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_property_bag.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_rectangle.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_region.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_replacement.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_reporting_configuration.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_reporting_descriptor.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_reporting_descriptor_reference.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_reporting_descriptor_relationship.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_result.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_result_provenance.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_run.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_run_automation_details.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_sarif_log.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_special_locations.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_stack.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_stack_frame.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_suppression.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_thread_flow.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_thread_flow_location.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_tool.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_tool_component.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_tool_component_reference.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_translation_metadata.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_version_control_details.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_web_request.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/_web_response.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/__pycache__/version.cpython-310.pyc,, +torch/onnx/_internal/diagnostics/infra/sarif/_address.py,sha256=ws5WXm5Z4sCx9ZVtCT67FluQUInkR2zKDaMW-QUNa2g,1748 +torch/onnx/_internal/diagnostics/infra/sarif/_artifact.py,sha256=0JJfuGrzAxAmPQcCi29zGoL1MTDusEe0bkd4JZ8Q0tQ,3026 +torch/onnx/_internal/diagnostics/infra/sarif/_artifact_change.py,sha256=l95-2ctz3d44esToAwN35lbeE6HkAXuETBgezH-ahFc,893 +torch/onnx/_internal/diagnostics/infra/sarif/_artifact_content.py,sha256=GI4NBRnQD3IEOZdFnny3XNh3gZW_g5LPRYImZ4Y8h3k,1012 +torch/onnx/_internal/diagnostics/infra/sarif/_artifact_location.py,sha256=U9qsrtJXuzR3iTcSYPOmD9Lbih2NBJ6OPlJToDfAXcQ,1061 +torch/onnx/_internal/diagnostics/infra/sarif/_attachment.py,sha256=hLFkgETVh3cCL94A0emFQqAEfcxC2RT0gqdMuLlkxzA,1213 +torch/onnx/_internal/diagnostics/infra/sarif/_code_flow.py,sha256=qZJ7C8EL9m1tYrf_sw66PbB3ilJ2fClEAKh3UYcNFKk,935 +torch/onnx/_internal/diagnostics/infra/sarif/_configuration_override.py,sha256=BREXBUAT2cSNZlpZJ1b59rcGkbooMI_gdusu_Cslcrg,1004 +torch/onnx/_internal/diagnostics/infra/sarif/_conversion.py,sha256=Z3pDN9OPAhaWAGaWlrRNKVOdkLIuF2aAr2pWJRMWBCI,1162 +torch/onnx/_internal/diagnostics/infra/sarif/_edge.py,sha256=av5c6koZeuTyRQCgE6fDBOk-JiOFhyHLx4_hwuuC2DY,983 +torch/onnx/_internal/diagnostics/infra/sarif/_edge_traversal.py,sha256=r2PBm018laYQPM_U8aAevhNx5T57R2lBrTQ2Vqv4b4Y,1083 +torch/onnx/_internal/diagnostics/infra/sarif/_exception.py,sha256=O70XX0b5HkMaSfaQvmnfKx5KxYgQqQ41gXfgOXToyj8,1168 +torch/onnx/_internal/diagnostics/infra/sarif/_external_properties.py,sha256=lVFUY8UijDceaBZwrfwVfYGmwk-fzItORnEbjHsr3pY,3816 +torch/onnx/_internal/diagnostics/infra/sarif/_external_property_file_reference.py,sha256=hpSt2mZnZRaZ0KNDxYdGUVF0yfarnRNq0nFAhrqmCpI,1120 +torch/onnx/_internal/diagnostics/infra/sarif/_external_property_file_references.py,sha256=_VSqpoX1i1-_PCSgalnEhBGMHSas8QUnz5kAoTaY0pk,3901 +torch/onnx/_internal/diagnostics/infra/sarif/_fix.py,sha256=FFAiJYI4CeDtIFld-dKk3HggBBPg4eCcMV3PCOAxmvQ,1069 +torch/onnx/_internal/diagnostics/infra/sarif/_graph.py,sha256=AXliROAwGC_Ff2chkUxqwdmQxswbQ2rqGT_ACsaWpfU,1090 +torch/onnx/_internal/diagnostics/infra/sarif/_graph_traversal.py,sha256=4k00If3e_57WKUBFJncbBjfA5e5ALlpQvoDqb0uCNhU,1423 +torch/onnx/_internal/diagnostics/infra/sarif/_invocation.py,sha256=eLxD0KHZVXD5Puw7VfDMvYbAaXhiZrU_h1cLWf8SBks,4597 +torch/onnx/_internal/diagnostics/infra/sarif/_location.py,sha256=S0uE-9hqa4EU10k_8GSrlQ4bPx7ILk_zar7mCqmGmgw,1610 +torch/onnx/_internal/diagnostics/infra/sarif/_location_relationship.py,sha256=TTtVOdV-Ht7IP7lyRBGE-UUc2mN_Gb_HeUy9DOxsQIY,964 +torch/onnx/_internal/diagnostics/infra/sarif/_logical_location.py,sha256=spq1Legx7q1euHSPpQkY4ZnE0jSrZPtDLY5CoVgcBRI,1314 +torch/onnx/_internal/diagnostics/infra/sarif/_message.py,sha256=VO4FTcUK-7Wl3Diom7lYmuYBjMfa-KwjBY9W1n2TQvk,1062 +torch/onnx/_internal/diagnostics/infra/sarif/_multiformat_message_string.py,sha256=V9d9I84_iYcDPwOs7KUWJ2DjDVcSmNt-Kq4Xaggd_ps,805 +torch/onnx/_internal/diagnostics/infra/sarif/_node.py,sha256=ABeCrjO8hS5B-83MFoUv8gd5IoLMDlbaK1LcWwqS6Mo,1075 +torch/onnx/_internal/diagnostics/infra/sarif/_notification.py,sha256=EptwUCa06LGuLKKfX1on41MZgfa0Lu-fABjlQkXpKlE,1934 +torch/onnx/_internal/diagnostics/infra/sarif/_physical_location.py,sha256=XV3galBCsbtnZ57PJoRbi82MgXYhaaifbGDt6HowLdQ,1337 +torch/onnx/_internal/diagnostics/infra/sarif/_property_bag.py,sha256=lsjMzdnz9g3dIMw9Mtm-0bTU5mQGSZNhEnydYRGyF8A,496 +torch/onnx/_internal/diagnostics/infra/sarif/_rectangle.py,sha256=k0VAKUBS4Sk1CWgYfehzAzCZxxOL6uzKM1V0Bkk_GZ4,1159 +torch/onnx/_internal/diagnostics/infra/sarif/_region.py,sha256=J3G25_1N--w2ueUGVGiazuTRUju47d1fJ-48HDgILT8,2031 +torch/onnx/_internal/diagnostics/infra/sarif/_replacement.py,sha256=ydAQKhmy2Mhq0GaPr62wTQstlPQNafSvMh3HYI_VQrU,905 +torch/onnx/_internal/diagnostics/infra/sarif/_reporting_configuration.py,sha256=4mShdhYP_MTlK6Xs22kaMej7a57ZCf2eafK7SSjfeG4,1136 +torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor.py,sha256=rUbnXljVoEizpgfmYu-dZOfkSNCkhXQwoAe4eIyUmFg,2746 +torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor_reference.py,sha256=3mJpF08p5fjqYncR4qjCP7Kma9w3ZkGO9XMAiG5SiCo,1166 +torch/onnx/_internal/diagnostics/infra/sarif/_reporting_descriptor_relationship.py,sha256=y2iu9t6UuREodZkdJtaoNEXgU8Zb0Kd23YQ9gQJQtd4,1110 +torch/onnx/_internal/diagnostics/infra/sarif/_result.py,sha256=lDs8R4v0GxjIQrOw9iWngMbqUGPFotUaAbEoj_QsR4M,5068 +torch/onnx/_internal/diagnostics/infra/sarif/_result_provenance.py,sha256=wtDg3jxzYu6yLglspmvn2Ul5qb3sl0NNXzet3QfKps8,1551 +torch/onnx/_internal/diagnostics/infra/sarif/_run.py,sha256=_1KntecS40dqYuLcIBpbheGIEXb_5913v-HJc3AvGvc,5306 +torch/onnx/_internal/diagnostics/infra/sarif/_run_automation_details.py,sha256=KRztrseIGyQm0JzBbAQJJ1-oqTwS9pt35MoXzwcpBF4,1136 +torch/onnx/_internal/diagnostics/infra/sarif/_sarif_log.py,sha256=wsCKQQKrcr9EzvHiIkiNyqbW52yj56VJwsE6v5pEirE,1237 +torch/onnx/_internal/diagnostics/infra/sarif/_special_locations.py,sha256=3YNBPg7CwcivAIf-s6OKur4s-5_xgTvt3pa18qKeuv8,782 +torch/onnx/_internal/diagnostics/infra/sarif/_stack.py,sha256=F2PUk8ubWkIdcFFhZ80pER1iCas4z8O1xH5APb_y02c,859 +torch/onnx/_internal/diagnostics/infra/sarif/_stack_frame.py,sha256=cvgDZszoMaleh_D8UHJPYQ619IVayITX7rWOxEHljm0,1088 +torch/onnx/_internal/diagnostics/infra/sarif/_suppression.py,sha256=GV1eMCGiusg5Ydb-jpewOltknZMKMLznVcFYBUWfluw,1249 +torch/onnx/_internal/diagnostics/infra/sarif/_thread_flow.py,sha256=YD_0OTAvRygQBiWMylIJeELuYxkqAAakECFDPlI4yko,1351 +torch/onnx/_internal/diagnostics/infra/sarif/_thread_flow_location.py,sha256=JEYgPHorvlV9zm8rI19-ecugrd_bb5fTxGhQ5jqjbA8,2517 +torch/onnx/_internal/diagnostics/infra/sarif/_tool.py,sha256=CkHTztGsphKqnKxTdVnEsf7IoLj8p-eH15R1puEjJSc,848 +torch/onnx/_internal/diagnostics/infra/sarif/_tool_component.py,sha256=x4lP0OcnvV0yBAlu2KkT26fgAR8UcwlwUM0r9Hz_lLM,4987 +torch/onnx/_internal/diagnostics/infra/sarif/_tool_component_reference.py,sha256=E_0IAvLbJZ2sDAbz04FgbrHW20DQX_DScF8tmbE8Eq8,947 +torch/onnx/_internal/diagnostics/infra/sarif/_translation_metadata.py,sha256=SHQNAX9iK8ptU_BkWYcSU-woXdrh3BCNYJUNEVKbON0,1494 +torch/onnx/_internal/diagnostics/infra/sarif/_version_control_details.py,sha256=N8lmfAcHW1BFZXxACnlKwlt1KveA3TL9uRDXoWQ8gEU,1436 +torch/onnx/_internal/diagnostics/infra/sarif/_web_request.py,sha256=d4Scw4N4JuZDGbDIOYQfhLXaPa2_mRUzRgi6B9XHK8Q,1543 +torch/onnx/_internal/diagnostics/infra/sarif/_web_response.py,sha256=-RkuvmR7VQcJ5g56G-5K36T6GjnVTzrUGv7uNM3b3zk,1611 +torch/onnx/_internal/diagnostics/infra/sarif/version.py,sha256=RadhQc9OCzMr6CQB3Anc7bJo315qIHL9UWp7WHwxOL0,185 +torch/onnx/_internal/diagnostics/infra/utils.py,sha256=XsmfnWlCSybicUV4RaBghL0ilv4EboffICGJC3ZUuys,2505 +torch/onnx/_internal/exporter.py,sha256=JS6QtYJSQUsY3bW7NskoWRQl6HTz-NuP5DYPx4eBOVQ,63859 +torch/onnx/_internal/fx/__init__.py,sha256=nDN5RQ1wcu4ktXSPWCLgPREAyDWHnhr1EOMqcKSVDZs,172 +torch/onnx/_internal/fx/__pycache__/__init__.cpython-310.pyc,, +torch/onnx/_internal/fx/__pycache__/_pass.cpython-310.pyc,, +torch/onnx/_internal/fx/__pycache__/decomposition_table.cpython-310.pyc,, +torch/onnx/_internal/fx/__pycache__/diagnostics.cpython-310.pyc,, +torch/onnx/_internal/fx/__pycache__/dynamo_graph_extractor.cpython-310.pyc,, +torch/onnx/_internal/fx/__pycache__/fx_onnx_interpreter.cpython-310.pyc,, +torch/onnx/_internal/fx/__pycache__/fx_symbolic_graph_extractor.cpython-310.pyc,, +torch/onnx/_internal/fx/__pycache__/onnxfunction_dispatcher.cpython-310.pyc,, +torch/onnx/_internal/fx/__pycache__/op_validation.cpython-310.pyc,, +torch/onnx/_internal/fx/__pycache__/patcher.cpython-310.pyc,, +torch/onnx/_internal/fx/__pycache__/registration.cpython-310.pyc,, +torch/onnx/_internal/fx/__pycache__/serialization.cpython-310.pyc,, +torch/onnx/_internal/fx/__pycache__/torch_export_graph_extractor.cpython-310.pyc,, +torch/onnx/_internal/fx/__pycache__/type_utils.cpython-310.pyc,, +torch/onnx/_internal/fx/_pass.py,sha256=bM6LOMT7JPudCdu_-chv-DBYr2B3JIUeP8LzUj7jm3s,12480 +torch/onnx/_internal/fx/analysis/__init__.py,sha256=Jgm9-UUuAYClQeIHVaLyJM9J47SiRoZiaXWxwQzvogo,107 +torch/onnx/_internal/fx/analysis/__pycache__/__init__.cpython-310.pyc,, +torch/onnx/_internal/fx/analysis/__pycache__/unsupported_nodes.cpython-310.pyc,, +torch/onnx/_internal/fx/analysis/unsupported_nodes.py,sha256=MitmrB9JKi299ChRzL8HL0AnST1CCk3UtN3cY7JIMkU,3386 +torch/onnx/_internal/fx/decomposition_table.py,sha256=X1LiaUUlD6M0W25XuMgKdT_Y_1fM6edzWHBzT0u8dMs,5135 +torch/onnx/_internal/fx/diagnostics.py,sha256=k35yO7FbJUXVLadUwFULc8lJpJjBIb9zQUveWrIP20M,8847 +torch/onnx/_internal/fx/dynamo_graph_extractor.py,sha256=h7j3_AM0zOQueSgnXepiovgGcSVh6bQduPye2ZS-3vw,8359 +torch/onnx/_internal/fx/fx_onnx_interpreter.py,sha256=4j5UsqxtIfcLkjPibjlJxr7szqOMUCLLHcMXBSiy8ts,34620 +torch/onnx/_internal/fx/fx_symbolic_graph_extractor.py,sha256=XljQ6w6BQJsx-bU0ADmLU_kEBv6N_lVRHq-nldkx5EY,10201 +torch/onnx/_internal/fx/onnxfunction_dispatcher.py,sha256=XZ0NMdNwck4pgvpDJLVjlkj1VwzAFF-Wt6N_wTxF48M,37910 +torch/onnx/_internal/fx/op_validation.py,sha256=glabnNDLiU9I7beAcI9-qlmrbnHss7Gnn9yDkbYDG7U,15782 +torch/onnx/_internal/fx/passes/__init__.py,sha256=Wcrdhlwv6ajt8Z2PjYTyOnzZ5cHwpnBHyCPoulf9_yk,551 +torch/onnx/_internal/fx/passes/__pycache__/__init__.cpython-310.pyc,, +torch/onnx/_internal/fx/passes/__pycache__/_utils.cpython-310.pyc,, +torch/onnx/_internal/fx/passes/__pycache__/decomp.cpython-310.pyc,, +torch/onnx/_internal/fx/passes/__pycache__/functionalization.cpython-310.pyc,, +torch/onnx/_internal/fx/passes/__pycache__/modularization.cpython-310.pyc,, +torch/onnx/_internal/fx/passes/__pycache__/readability.cpython-310.pyc,, +torch/onnx/_internal/fx/passes/__pycache__/type_promotion.cpython-310.pyc,, +torch/onnx/_internal/fx/passes/__pycache__/virtualization.cpython-310.pyc,, +torch/onnx/_internal/fx/passes/_utils.py,sha256=0ttHCD1Nb2RgYLnS5RVp0Vis4Ajpg6WLRMiIP2PlUj0,4338 +torch/onnx/_internal/fx/passes/decomp.py,sha256=PpI7kRuZTHGqmU9H6bltp0vo0fCwRlwCvqKDmCqG4RM,3602 +torch/onnx/_internal/fx/passes/functionalization.py,sha256=V_u2mTUjtZZOC1p9W1hHrhU25EiCK0_JSyRDMQagXLE,6616 +torch/onnx/_internal/fx/passes/modularization.py,sha256=d4YkQVeOpGqpjrAAIIdCDPHaRn-Zx1NlQCg4Kqud33s,32635 +torch/onnx/_internal/fx/passes/readability.py,sha256=yoi_yZ6To7hDcd5Ax1SjprllSoiteAMAjfVt6uOxSGg,5941 +torch/onnx/_internal/fx/passes/type_promotion.py,sha256=-0AitgozMtYdoNmSn_UPvVKzL-Dr05guXVZZRSVDAXQ,67089 +torch/onnx/_internal/fx/passes/virtualization.py,sha256=iLkbIepvLXtsPFolb3wBO5gZGIRgWw_jPt_VX8oDlYE,3868 +torch/onnx/_internal/fx/patcher.py,sha256=nXUebEtSUokm_t-_b4PJm9KiQr2zMPZ6d1cVk5CoXfQ,7263 +torch/onnx/_internal/fx/registration.py,sha256=AAiAZZsUWtKX7W8loKuxEaUkZ2GawvpPkSfYeCy-YEI,3377 +torch/onnx/_internal/fx/serialization.py,sha256=EAkhepKGAlBJYVjusg9I2-CIfkUUMosvmplt9l4_37I,7918 +torch/onnx/_internal/fx/torch_export_graph_extractor.py,sha256=8wSSRcAEfJabE-OqD6KMyYsvj52rKiky11v9gkTQCdI,4738 +torch/onnx/_internal/fx/type_utils.py,sha256=fj44uxf5s8LU9aoPJH6YGWAtJGR2WbpEV5zg_gm4e70,6612 +torch/onnx/_internal/io_adapter.py,sha256=0bE1Q3qL5l7cmjalj6472bNw3P2AnL_uhUwT1lW2zq4,22713 +torch/onnx/_internal/jit_utils.py,sha256=jDvNPvMaQSZ2afRG4NgvuooUwbq79CYNWlqO0GTDoZU,14778 +torch/onnx/_internal/onnx_proto_utils.py,sha256=TqYeRWQHCmDUneaGFh1wmu6ECcCju8VKDN9dS9M43C8,11347 +torch/onnx/_internal/onnxruntime.py,sha256=jhpTbkqarXdl4jeqhB8M2lTCExKuiupVf26i3e9ANYk,45056 +torch/onnx/_internal/registration.py,sha256=e6mki4e8Mnb4lQRYoebYCFdVCsUKU4vHhHOr9-gzJsk,11072 +torch/onnx/_onnx_supported_ops.py,sha256=eI611nfXwZSGbDc_KTv-oK8wEsgWMWQDpP7lyPFozH4,3304 +torch/onnx/_type_utils.py,sha256=s3OX334QN9tlXrjL_rw9YPSJSWP5v968iJj7CTKjPQo,12865 +torch/onnx/errors.py,sha256=NddcVEv1t-eCLJjP17yFxfS3lJrGUhY0MNViTjZ8oZs,3582 +torch/onnx/operators.py,sha256=DwiGlMPOCqDsUtkIe3K6e3au06vPo80nE6pO49XerYw,560 +torch/onnx/symbolic_caffe2.py,sha256=8_L5XwoUFjmE5fHZRrm0dR3e-YbKLZqryi3tAD6NeK4,10908 +torch/onnx/symbolic_helper.py,sha256=TU9IPCKRPTm4LlumXG9WeyCNdHUZQ3ALY8Pz8gpG6J0,62780 +torch/onnx/symbolic_opset10.py,sha256=Ur841OOwqSzqNCmfXpToJAMX64d651Aeip20lVRxOYA,38265 +torch/onnx/symbolic_opset11.py,sha256=loDjWEefKCEpvknbaBt_o6ztuzPtlJqt4naRBuQ0dZE,59700 +torch/onnx/symbolic_opset12.py,sha256=ujJMeTlBGMfaHdUI1OgldT_cw8sTv5U8b76xOtiawwA,16193 +torch/onnx/symbolic_opset13.py,sha256=UVIQi87AnKOYG0JHg9R2SBz-Fhz5mV2M_4NYwZYDScc,42138 +torch/onnx/symbolic_opset14.py,sha256=Zgk3sd5tMF7tTzaLsVhxR1MLS53XaRoWxlt5lqp-vBg,9484 +torch/onnx/symbolic_opset15.py,sha256=Y8r4f2ls86m4vzmTTfP1xyPaaX65K6V0djA7pTQsbf4,2935 +torch/onnx/symbolic_opset16.py,sha256=pjm-WrdrcoKXzaZ1tm_NkOmgNdiHE0wzUY4RWoEyfL8,6565 +torch/onnx/symbolic_opset17.py,sha256=BC2Lf1U9wTn8TQTvQIIObpxyMTQzQjZXi5itDgyqSVE,7219 +torch/onnx/symbolic_opset18.py,sha256=jQz71o1PoGiucz6-VtoS_10medZVWKSCAKNz9T5CHGE,1736 +torch/onnx/symbolic_opset7.py,sha256=JVydYm3Rh2R4O7MzftttXbktx0nU0BShMU5IEDy6GLY,2091 +torch/onnx/symbolic_opset8.py,sha256=0_uD3oC0QTXqEQzD5t9c3f5AJNbPlsec3KoWp1TJHnU,15059 +torch/onnx/symbolic_opset9.py,sha256=WJf1VdZJh6Bsy6KSokgWPqh8XVMnJTlMyG4y7VBp9IU,241203 +torch/onnx/utils.py,sha256=wIvaTKGyW-pZsO10A__TW98IpM5HM5l2GDgXfpzgY4M,83375 +torch/onnx/verification.py,sha256=FJBCSdliLCKUG7MtZzYQ85cOD1xolp5d6iqnNSE1igU,70091 +torch/optim/__init__.py,sha256=ayqyMIsE7zARopPKY2EZeU9CjG8n9ns9QS-GLlmWNiw,835 +torch/optim/__init__.pyi,sha256=UHcdmdixF9j-dslJ92cxvCtZWwITfK13cZqyBxorAjA,583 +torch/optim/__pycache__/__init__.cpython-310.pyc,, +torch/optim/__pycache__/_functional.cpython-310.pyc,, +torch/optim/__pycache__/adadelta.cpython-310.pyc,, +torch/optim/__pycache__/adagrad.cpython-310.pyc,, +torch/optim/__pycache__/adam.cpython-310.pyc,, +torch/optim/__pycache__/adamax.cpython-310.pyc,, +torch/optim/__pycache__/adamw.cpython-310.pyc,, +torch/optim/__pycache__/asgd.cpython-310.pyc,, +torch/optim/__pycache__/lbfgs.cpython-310.pyc,, +torch/optim/__pycache__/lr_scheduler.cpython-310.pyc,, +torch/optim/__pycache__/nadam.cpython-310.pyc,, +torch/optim/__pycache__/optimizer.cpython-310.pyc,, +torch/optim/__pycache__/radam.cpython-310.pyc,, +torch/optim/__pycache__/rmsprop.cpython-310.pyc,, +torch/optim/__pycache__/rprop.cpython-310.pyc,, +torch/optim/__pycache__/sgd.cpython-310.pyc,, +torch/optim/__pycache__/sparse_adam.cpython-310.pyc,, +torch/optim/__pycache__/swa_utils.cpython-310.pyc,, +torch/optim/_functional.py,sha256=Mo51PvBCX0clwjMPGS_SbWJpJDCQwVYKu1a-QkpZvHw,3320 +torch/optim/_multi_tensor/__init__.py,sha256=8hJ8I7Uob5ZydF3xoA8rXqaVKhphAf9xgKFCs1cQU-A,1010 +torch/optim/_multi_tensor/__pycache__/__init__.cpython-310.pyc,, +torch/optim/adadelta.py,sha256=5tPL3Cpu3ud2OSt5-BJax_6j1EjHyTDfXpsfMmxksA8,11273 +torch/optim/adadelta.pyi,sha256=m1Qs3TkjRbgK_ato4PcFZUjab-5aExWnv5GNG1S9lXs,258 +torch/optim/adagrad.py,sha256=ie81oSkFuDx_L9cVcl1DkI4I2z57HBXDE9ab2mssmuM,14162 +torch/optim/adagrad.pyi,sha256=zMc-TKwNfoWysFb8h1NR-q0S14IMThh5gMpf5YTGNp0,310 +torch/optim/adam.py,sha256=KijKJXkKi5s5Ia5cCy2aBZJqqAljkL5ZM2CMET5ij3Y,29435 +torch/optim/adam.pyi,sha256=bfvSlSEq8-s4QAe58zwckmWV3yb0a2M4QN0sV8Apgvg,587 +torch/optim/adamax.py,sha256=bSIv0U3wYHNxSHDFuuc_CQBXAD0EOOy0Sx_Uhdh8nrs,12922 +torch/optim/adamax.pyi,sha256=PN8bLokgp7zuYbjkZlXY7Oa6M17d2WzTmOUhMA_B3cM,298 +torch/optim/adamw.py,sha256=Ug7N76sc88Y54lpDQCMT2gHIS-d0xwH_SN54MGm22Wg,28266 +torch/optim/adamw.pyi,sha256=-23OYHOk62ZtCsqFO_qjfqC2xGAXZem-YFZ6yXwhODw,591 +torch/optim/asgd.py,sha256=VQf75Oshjxwt4d_85WEYMvR2jH_CXkutKIYMCKYulck,13274 +torch/optim/asgd.pyi,sha256=XI_UT3DNorNEpGrHDoFFccTObaO63ZhatZDCgaHXOsg,283 +torch/optim/lbfgs.py,sha256=Ii4ZKxidikpG3H24FH3L4KnNzfhp9Lu-HEuiF-QLB9w,17253 +torch/optim/lbfgs.pyi,sha256=fGehsWo2LK_JwEo9kIAxgxb53kEjzwGUHFUqF_Mr87w,419 +torch/optim/lr_scheduler.py,sha256=CUhxsFuD9X_eytRyKyEsSP8cr0eoBmKSSbJodEuQ9ws,77187 +torch/optim/lr_scheduler.pyi,sha256=2YmTKs4rn4ZWexvl06Zd8s5kPoV3_BRSnziLUfyN__0,6988 +torch/optim/nadam.py,sha256=RomyhihDw6kbJvUkplumz3RFghn3EQZmfqZoRjRyKI8,22402 +torch/optim/nadam.pyi,sha256=pq7GeLYTK_N-42I6ST8F9ut4dFHNB0EF24O-0nMDX0I,378 +torch/optim/optimizer.py,sha256=T3BEGlFspuxS2VqxvvLGvM9OEyOUa5uvOJbp7iiDtaQ,41865 +torch/optim/radam.py,sha256=Wuj-udcjsYlXyFgrnqqr8HyFCEnySy7qTz2ciOLFf6A,17196 +torch/optim/radam.pyi,sha256=1NyH7UDYKPGYo97_ZGx5UZ7QrMcSBZ28u_9fCO1MBPU,341 +torch/optim/rmsprop.py,sha256=VVJK2PU_Qg0hyLJopvikkj1uXM2kd6hTHYhSL3o617Y,14424 +torch/optim/rmsprop.pyi,sha256=POZ9uhHsuZDUyfK_hMxBnne_SVV3pWpJn6htXLNrkLM,320 +torch/optim/rprop.py,sha256=qC-gGxgMbWfTNv0FeJq9bL9uezD1LaMToEbAkdG-Dc8,12413 +torch/optim/rprop.pyi,sha256=EdKBoUMIaaMhwO256g1yuItxgmn_TBGocChFbTKk2jg,282 +torch/optim/sgd.py,sha256=txv7N-SeAKxxQChL1bjd_U5y5IJzQo1MUkmI_FQVvkk,13883 +torch/optim/sgd.pyi,sha256=wUfhJZS8qkl8_G7lhVeuekRoctxyIfMZYRQmnXk0Dgo,294 +torch/optim/sparse_adam.py,sha256=_LzsYHnKRDGu2Pyf811eSgHRm0XaXLa6r46KoaK-N50,7223 +torch/optim/sparse_adam.pyi,sha256=pfhc3fTexncN1xuyHmGhyO9X_S0klXdZpzyYeQJlCeg,267 +torch/optim/swa_utils.py,sha256=r1cHzqp5ASaimf4ruuS3RnZ1rc7Wz6trRyT01WYLK1Q,16573 +torch/optim/swa_utils.pyi,sha256=wUe8UAuxSSpcOJPGuEihVS87b8THB6vNCsftHItY6WM,830 +torch/overrides.py,sha256=Shbjfm_PwyDKIHaI-XSFl4dC6rcmwN-X92PXIBbgFwg,102882 +torch/package/__init__.py,sha256=ZLLvoviHHErV-XQZagde2I4cuNDK49dFLRGUC5oyOFc,388 +torch/package/__pycache__/__init__.cpython-310.pyc,, +torch/package/__pycache__/_digraph.cpython-310.pyc,, +torch/package/__pycache__/_directory_reader.cpython-310.pyc,, +torch/package/__pycache__/_importlib.cpython-310.pyc,, +torch/package/__pycache__/_mangling.cpython-310.pyc,, +torch/package/__pycache__/_mock.cpython-310.pyc,, +torch/package/__pycache__/_package_pickler.cpython-310.pyc,, +torch/package/__pycache__/_package_unpickler.cpython-310.pyc,, +torch/package/__pycache__/_stdlib.cpython-310.pyc,, +torch/package/__pycache__/file_structure_representation.cpython-310.pyc,, +torch/package/__pycache__/find_file_dependencies.cpython-310.pyc,, +torch/package/__pycache__/glob_group.cpython-310.pyc,, +torch/package/__pycache__/importer.cpython-310.pyc,, +torch/package/__pycache__/package_exporter.cpython-310.pyc,, +torch/package/__pycache__/package_importer.cpython-310.pyc,, +torch/package/_digraph.py,sha256=LW8RAC5fUCcIciMJMucH5Bb7VMcEqSippOxrNAvV6kI,5632 +torch/package/_directory_reader.py,sha256=wshQS8tAADGtXSSyNsG-mFkgVVyZNlVdl3QjXHBmNJA,1894 +torch/package/_importlib.py,sha256=Pqopny0484c8hlmEEnLTE2_UeNNBcn_9rlQyG4Rl3K0,2970 +torch/package/_mangling.py,sha256=tTUB6Z7dlcrbX1Wilz5RkWa7TD6OTFz7ToXG8ggBFv0,1854 +torch/package/_mock.py,sha256=6yTrK4HOWJobUaVGt1edXzs3fk3IyzrECbJs29XkmR8,2839 +torch/package/_package_pickler.py,sha256=qn7_IuJQBP1We4FvTv8Pdt4If6jrwtkBCnfN3uu1fto,4622 +torch/package/_package_unpickler.py,sha256=J1UNk_PPkI4v3EcPfvvOHoB6UQcL7LPfjBkTZvkk3yI,965 +torch/package/_stdlib.py,sha256=X7uMbSQ7iBL_bpHhLkTW3xD-7Keno_rqLWfR-UtkhAU,7238 +torch/package/analyze/__init__.py,sha256=RtjmM0jmYQwfuv9mQoKgZQZBij-GQ4cFcJX7_-aihDg,130 +torch/package/analyze/__pycache__/__init__.cpython-310.pyc,, +torch/package/analyze/__pycache__/find_first_use_of_broken_modules.cpython-310.pyc,, +torch/package/analyze/__pycache__/is_from_package.cpython-310.pyc,, +torch/package/analyze/__pycache__/trace_dependencies.cpython-310.pyc,, +torch/package/analyze/find_first_use_of_broken_modules.py,sha256=I1nPusI1vprdIlOO3CWahK_6HPYD_x9fcxSxupf1y-g,1053 +torch/package/analyze/is_from_package.py,sha256=xnYu_xdTqKdosT6pJtZrnrQaG14qGLlwyCBCwqCfu0I,404 +torch/package/analyze/trace_dependencies.py,sha256=vsjk1XltimIbxtBVOITikpedI6oOFpSr4RNBEjk1SA4,2193 +torch/package/file_structure_representation.py,sha256=x6jTVtPtzrGoGp0T_upebB5Ei39ozJH_LUS7iJbaxaE,4700 +torch/package/find_file_dependencies.py,sha256=hSNZXrBqHG4OYcppF_SWVHVTXiezEEDcNdeFYb776iw,3955 +torch/package/glob_group.py,sha256=lrHQfMHTz06Au3C-byKc58yXVbwTQQNBqW-zSDEVKeU,3610 +torch/package/importer.py,sha256=uI2qQF_3CfdMq8ztGc2AkCrMiY3oizINEeLkZun5KzM,8946 +torch/package/package_exporter.py,sha256=njy3ftCvyRek-V9PTt6Vl3Qk55xz8sXIDln0ZG1kdX4,50861 +torch/package/package_importer.py,sha256=MhpXGcaGf9SJ6HASq39_NqceMdxpkkfanFkV-FnGbbE,30794 +torch/profiler/__init__.py,sha256=kV5w6rRsAQaHBweHFVa0ZY7wxLyTz6ePyhXK5xn35l4,1434 +torch/profiler/__pycache__/__init__.cpython-310.pyc,, +torch/profiler/__pycache__/_memory_profiler.cpython-310.pyc,, +torch/profiler/__pycache__/_pattern_matcher.cpython-310.pyc,, +torch/profiler/__pycache__/_utils.cpython-310.pyc,, +torch/profiler/__pycache__/itt.cpython-310.pyc,, +torch/profiler/__pycache__/profiler.cpython-310.pyc,, +torch/profiler/__pycache__/python_tracer.cpython-310.pyc,, +torch/profiler/_memory_profiler.py,sha256=0GZeiADfyReTQUMgAdEjX4yLjrJT4YFQgYuvtPIqyXo,48015 +torch/profiler/_pattern_matcher.py,sha256=JRpn_q0VUXposZSptYn3DdWkxAajqyE5eTsAzFi3H0g,24755 +torch/profiler/_utils.py,sha256=T-QDpk5eelwgS5_toY94CAcC0uKULPmmIvLIzWC81NQ,13303 +torch/profiler/itt.py,sha256=xI87h0lcL1pLvhKgPmmsaS9s_IVzj5wLu5jWJbkYQuE,1754 +torch/profiler/profiler.py,sha256=rvJlyFXp8IarF3Y6fVTZ-L4ZgscxaBBq2V-RLLzn0cE,29815 +torch/profiler/python_tracer.py,sha256=t2HhbERUPlMtdDrQ2B63QbAwfuK8oFE5GT3uuBCYAaA,497 +torch/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/quantization/__init__.py,sha256=Rk2WJDawOJZTsSruwUvgahHHmGEYrRz9eWMZPoh0nxM,2656 +torch/quantization/__pycache__/__init__.cpython-310.pyc,, +torch/quantization/__pycache__/_numeric_suite.cpython-310.pyc,, +torch/quantization/__pycache__/_numeric_suite_fx.cpython-310.pyc,, +torch/quantization/__pycache__/_quantized_conversions.cpython-310.pyc,, +torch/quantization/__pycache__/fake_quantize.cpython-310.pyc,, +torch/quantization/__pycache__/fuse_modules.cpython-310.pyc,, +torch/quantization/__pycache__/fuser_method_mappings.cpython-310.pyc,, +torch/quantization/__pycache__/observer.cpython-310.pyc,, +torch/quantization/__pycache__/qconfig.cpython-310.pyc,, +torch/quantization/__pycache__/quant_type.cpython-310.pyc,, +torch/quantization/__pycache__/quantization_mappings.cpython-310.pyc,, +torch/quantization/__pycache__/quantize.cpython-310.pyc,, +torch/quantization/__pycache__/quantize_fx.cpython-310.pyc,, +torch/quantization/__pycache__/quantize_jit.cpython-310.pyc,, +torch/quantization/__pycache__/stubs.cpython-310.pyc,, +torch/quantization/__pycache__/utils.cpython-310.pyc,, +torch/quantization/_numeric_suite.py,sha256=kGqWAUJhc0DKg9RjXhiKRx7dxfmX-M5Y1w9jAEnU0Z0,779 +torch/quantization/_numeric_suite_fx.py,sha256=LkEYZQLt_CRTe4d_9EAvCzpuKKHTmTjYoXLXcawjN-I,752 +torch/quantization/_quantized_conversions.py,sha256=IXT1xcWrcKsbT2-bvwZikJdl-AhXuOjRFf6ygoBWdkM,4258 +torch/quantization/fake_quantize.py,sha256=AZes9LhE_KB-0Q_nV0Qy5kSOY0N9cvv7NPEpdjTwBz4,1015 +torch/quantization/fuse_modules.py,sha256=eLwRn_McF-cLDjCtgzvd6E3TWh7Fwpp3LuhS1ZrmEKM,731 +torch/quantization/fuser_method_mappings.py,sha256=AWk97tidfAL4jlhmYQgpObMusEsNc8aFAX0sxT3XH6Y,511 +torch/quantization/fx/__init__.py,sha256=s3Wh6JJbmUuv-pk4yieKjDpsHZRUkEqW04jRMT9iJPs,594 +torch/quantization/fx/__pycache__/__init__.cpython-310.pyc,, +torch/quantization/fx/__pycache__/_equalize.cpython-310.pyc,, +torch/quantization/fx/__pycache__/convert.cpython-310.pyc,, +torch/quantization/fx/__pycache__/fuse.cpython-310.pyc,, +torch/quantization/fx/__pycache__/fusion_patterns.cpython-310.pyc,, +torch/quantization/fx/__pycache__/graph_module.cpython-310.pyc,, +torch/quantization/fx/__pycache__/match_utils.cpython-310.pyc,, +torch/quantization/fx/__pycache__/pattern_utils.cpython-310.pyc,, +torch/quantization/fx/__pycache__/prepare.cpython-310.pyc,, +torch/quantization/fx/__pycache__/quantization_patterns.cpython-310.pyc,, +torch/quantization/fx/__pycache__/quantization_types.cpython-310.pyc,, +torch/quantization/fx/__pycache__/utils.cpython-310.pyc,, +torch/quantization/fx/_equalize.py,sha256=8LGj1MjWPuZ9i4hXy2QPmD9BBBFGhiMZtlkf9j5GPuA,1250 +torch/quantization/fx/convert.py,sha256=31cFTuIm23CT4JLdSJBHzi_spOsZs0peGyNzhny_rgk,386 +torch/quantization/fx/fuse.py,sha256=wc8SOcX_IxIWXS-E5WZhj0N6KCxpDHQGTUoAaq2Y9JI,380 +torch/quantization/fx/fusion_patterns.py,sha256=Ijjfig2bxM_YzaoEzsIPTg4NuZG6p2BPgV_Dw2bmYFw,415 +torch/quantization/fx/graph_module.py,sha256=bI7jvFL15dnuHLO8c8-tKebQO16XaWRir9jwIditoXU,573 +torch/quantization/fx/match_utils.py,sha256=ndaJFGvJfXCqUmzEyUEfRiNkDwoYV2Xxd39iFQdD2bo,456 +torch/quantization/fx/pattern_utils.py,sha256=gCBkAZzIvHjpk_wfgW2nP-jFfelkya0Sto9eaWJv2H0,1297 +torch/quantization/fx/prepare.py,sha256=onVEmW0FUj5y3NFZVdGnYVK7KbJWroMF23pNFBSVDk4,386 +torch/quantization/fx/quantization_patterns.py,sha256=iphHpoDc2SP2ooCEYRxteMnbOQ7z_ErQ6w2EgkmvNuI,2086 +torch/quantization/fx/quantization_types.py,sha256=Jo921qhPFWn9AqlZODQOjBvmQYwdXUt_vOWVpwkEvwE,395 +torch/quantization/fx/utils.py,sha256=RlQwgLPd_v1OKtjeSfFNqhbPRHW7a-rZLfKsek3uY8s,723 +torch/quantization/observer.py,sha256=ztgpjHb7Q1mB7f_i32tZRkdj8i7eYQP3uSqVGFDAWDA,1078 +torch/quantization/qconfig.py,sha256=avG-OasJvdG1szQJli3PW8eoNo7TVH6vrLO-Lv14SNE,910 +torch/quantization/quant_type.py,sha256=wwPL8MSv-G6QV5LogvkL4xRJ28Ido0yA7kPzh2dsIo0,399 +torch/quantization/quantization_mappings.py,sha256=yIflm9ncZNnznvmc6oPKxWD4fPA6C44-EeMVbtAcVl0,1147 +torch/quantization/quantize.py,sha256=g8mA0kRJIO2z63PuUcawc9bovat-uVjeUxIKFwvLb-I,804 +torch/quantization/quantize_fx.py,sha256=hBC2pUobd9oeYUliLKlIYE2dQ-6BQvdxg2xTyvkFLa8,736 +torch/quantization/quantize_jit.py,sha256=JNw2_M1d6EITYzYrXlrAsUac_4tX-IDMuAO_7prxhk8,714 +torch/quantization/stubs.py,sha256=ukEM_vZ34I3UdBnhFPn5GFL713MwFlEysXUAfYGshnA,392 +torch/quantization/utils.py,sha256=kOpHHmJ602vEybccn81hVLOHwY0CQ2YdnG9n9kOVcQM,833 +torch/quasirandom.py,sha256=JcYDiJ_6YeJKc3nwHxMlk9y6mcLOG1g66Jm59HliGws,7539 +torch/random.py,sha256=4Gu1p5ZoR--O9jGwuzHIbyQBhB2aQrIwh3hDXuJJJDc,6920 +torch/return_types.py,sha256=TuOcSsb2ulXkUHmSLpPQ4Riz3DG1D4Zq9kaljLVNJ5Q,1084 +torch/return_types.pyi,sha256=kKZ92mlgvD99GZ0Y5JDnehLxlI0f9J90ITtCak8aEY0,3048 +torch/serialization.py,sha256=A6lPuXFwpZTXsgkHhMWoBasnYeXxX8qBp7_McP5NC0c,61994 +torch/share/cmake/ATen/ATenConfig.cmake,sha256=Fu4Jh3vhuxYcjsZfQ71erhUpBbyJr0-gwuAk6I7FqKQ,263 +torch/share/cmake/Caffe2/Caffe2Config.cmake,sha256=QDhpSLuHOwKazDwMIZKXxhC34JISz8tSigyMspjsLAA,5075 +torch/share/cmake/Caffe2/Caffe2Targets-release.cmake,sha256=_hMee-otK3Wog4Dvs2EjYsXY-aEoG4nZGgVnSVpmy8g,2448 +torch/share/cmake/Caffe2/Caffe2Targets.cmake,sha256=ez3cKtQUi8bWLwMsgl8r7Lx8Y3METcS3yMg3essvTnQ,7290 +torch/share/cmake/Caffe2/FindCUDAToolkit.cmake,sha256=XWRBWHiHT1lTgU5q3BSnOG_Yoz4UvelM4IhBPh8aGyY,38342 +torch/share/cmake/Caffe2/FindCUSPARSELT.cmake,sha256=cjNafMBEzBGv0kZAQqMxdpku0Vyf2Yrn3vJ_OVHxdUQ,3068 +torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDA.cmake,sha256=78mPFyIV7lR9kDJ8vAjJwKUDLpFhbssiLz5tR9CmDxk,525 +torch/share/cmake/Caffe2/Modules_CUDA_fix/FindCUDNN.cmake,sha256=NKwIx_LRJ3uu9oJC9_apdlRooZ-uR_izK1_deByfEQo,3085 +torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/CMakeInitializeConfigs.cmake,sha256=v1O1FBKmJWk1h-Zbh8M6qVlP4OqVsmCcYD8zwdVfb6Q,1657 +torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA.cmake,sha256=pfolW8y8mluqdpkeBtIXdfR9xwZ88K_Y5T5q9TQVFLQ,86491 +torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/make2cmake.cmake,sha256=_KLZxL3AhZehZKubThy4o2C_gEH5mm4h3kMpxLHgajU,3925 +torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/parse_cubin.cmake,sha256=h3Ka8c-mmE2Majl0s8342faZWVPAaDbO1rM_4m--YzA,3439 +torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/run_nvcc.cmake,sha256=2KcM296B27vgXYPm_QnN-k-6s16Xkv8NPwP7295j4sE,11813 +torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindCUDA/select_compute_arch.cmake,sha256=u0eKmAnxv3TC5IQlXjhX0OHsSC6LMITJaZDPzVzLaBw,10637 +torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindPackageHandleStandardArgs.cmake,sha256=aLA1Dg7qyjW9Eya73fiwm2RqiG0FGwPOV64Sm5-Nobc,14902 +torch/share/cmake/Caffe2/Modules_CUDA_fix/upstream/FindPackageMessage.cmake,sha256=ToKFxPt7HSmEA014cFkMZl79quM2gpF7tmcP8h1BuYs,1564 +torch/share/cmake/Caffe2/public/LoadHIP.cmake,sha256=3O9R2cyQFS5XtH46SUNv2xWJJLkZP7zAPTPLZVE5Rms,7708 +torch/share/cmake/Caffe2/public/cuda.cmake,sha256=dc3qbOnxgRLV50Lpm1gwDrU3Dr1zJi1To8iSDMpBies,15169 +torch/share/cmake/Caffe2/public/gflags.cmake,sha256=YrTkm-nQX6N3mh3tpY9a-i1_s_lAlifW0V_UZdAHS-M,2620 +torch/share/cmake/Caffe2/public/glog.cmake,sha256=zy1mZaicXNUHxSG7eOZ4ZVnbgk5qN-IuG_-jXUi98nk,2320 +torch/share/cmake/Caffe2/public/mkl.cmake,sha256=w9ODDNrKmLNMdTNTNaymChSL79ArF2URgpKfH1iWBIk,826 +torch/share/cmake/Caffe2/public/mkldnn.cmake,sha256=7D8oS35genLaLdSPfgh3foWXQMsa2bUsQnB5WKfKPAA,444 +torch/share/cmake/Caffe2/public/protobuf.cmake,sha256=weW3OuHBIqIt0KpWRWzAnzSCu-AJ9naUfkjxcvaRl5c,4003 +torch/share/cmake/Caffe2/public/utils.cmake,sha256=71w8GB43CtAkduiAq93aDN5rTZIVnUqov4kZdQraI9E,22503 +torch/share/cmake/Tensorpipe/TensorpipeTargets-release.cmake,sha256=Z2BoA3v4t5CER3JhpvVXPyjHZMXUrxDE2d43oLRvtPg,1767 +torch/share/cmake/Tensorpipe/TensorpipeTargets.cmake,sha256=Du2evHbOEbIHNe9gzv7548p2XUtHcmvnOYX3op4aFG4,3956 +torch/share/cmake/Torch/TorchConfig.cmake,sha256=y5caEAMaVmtZafqOgQ_14TzNNXcTkQTE4LD1CJzMUOI,5945 +torch/share/cmake/Torch/TorchConfigVersion.cmake,sha256=H4x6PCEjf3dezetz6DWwP6KAN6MwGfQKLPDNTVkoer8,366 +torch/signal/__init__.py,sha256=Eogmvuz6NdECfSTByt08-ZQw0Fec-GfQNNY77stj3zg,51 +torch/signal/__pycache__/__init__.cpython-310.pyc,, +torch/signal/windows/__init__.py,sha256=agqPFTqIfPJIMisuuSMnTJ3jQY7BKBI-NB6CWVB-j4U,383 +torch/signal/windows/__pycache__/__init__.cpython-310.pyc,, +torch/signal/windows/__pycache__/windows.cpython-310.pyc,, +torch/signal/windows/windows.py,sha256=e8v9SPYIQf35kf4xWIURxO3v87tse9QAIYSlKrf4rw8,22973 +torch/sparse/__init__.py,sha256=QUvBcbN4XiTSyE0jV0TDwMNO5_qDtA4tn5NPbUH3Teg,23308 +torch/sparse/__pycache__/__init__.cpython-310.pyc,, +torch/sparse/__pycache__/_semi_structured_conversions.cpython-310.pyc,, +torch/sparse/__pycache__/_triton_ops.cpython-310.pyc,, +torch/sparse/__pycache__/_triton_ops_meta.cpython-310.pyc,, +torch/sparse/__pycache__/semi_structured.cpython-310.pyc,, +torch/sparse/_semi_structured_conversions.py,sha256=spwgJpVIUWuIFiCqsFkqYOLUdRJdVZoKJI9HUJZDyWs,13919 +torch/sparse/_triton_ops.py,sha256=NrfJhhvce-aC69MhRnBJhT9zq_gEwKELANDgTt3YAb0,78014 +torch/sparse/_triton_ops_meta.py,sha256=D73Cbch-whtvCNidwFxgsErt5eIoNMZFdRNlAx55dMk,247722 +torch/sparse/semi_structured.py,sha256=kpVyRMQ6CKmWIkebIeOZwa6_3ZaPgB9fgAuq5p2lTo0,23612 +torch/special/__init__.py,sha256=brDIsIyu8UXquaAId4w-n6bRg_Iod36xInYmtLBfWJ8,32698 +torch/special/__pycache__/__init__.cpython-310.pyc,, +torch/storage.py,sha256=FzZwjkds6n06plkiJQ1sIHu9RL-9swc3s6cbz4pzrkU,45929 +torch/testing/__init__.py,sha256=bnC5Mu3wJZArYFvrHakjT63kHIlG93HaO0zpXtuxi0Y,165 +torch/testing/__pycache__/__init__.cpython-310.pyc,, +torch/testing/__pycache__/_comparison.cpython-310.pyc,, +torch/testing/__pycache__/_creation.cpython-310.pyc,, +torch/testing/_comparison.py,sha256=RxU4NaK1S6RFEmns4uD1MBmzW4z0GjxW85MAk53v7Ic,62423 +torch/testing/_creation.py,sha256=IprJNI0AilvTZFqLDveutgRfrs-KFiHdsTDrrE_AptU,11715 +torch/testing/_internal/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/testing/_internal/__pycache__/__init__.cpython-310.pyc,, +torch/testing/_internal/__pycache__/autocast_test_lists.cpython-310.pyc,, +torch/testing/_internal/__pycache__/autograd_function_db.cpython-310.pyc,, +torch/testing/_internal/__pycache__/check_kernel_launches.cpython-310.pyc,, +torch/testing/_internal/__pycache__/common_cuda.cpython-310.pyc,, +torch/testing/_internal/__pycache__/common_device_type.cpython-310.pyc,, +torch/testing/_internal/__pycache__/common_dist_composable.cpython-310.pyc,, +torch/testing/_internal/__pycache__/common_distributed.cpython-310.pyc,, +torch/testing/_internal/__pycache__/common_dtype.cpython-310.pyc,, +torch/testing/_internal/__pycache__/common_fsdp.cpython-310.pyc,, +torch/testing/_internal/__pycache__/common_jit.cpython-310.pyc,, +torch/testing/_internal/__pycache__/common_methods_invocations.cpython-310.pyc,, +torch/testing/_internal/__pycache__/common_modules.cpython-310.pyc,, +torch/testing/_internal/__pycache__/common_nn.cpython-310.pyc,, +torch/testing/_internal/__pycache__/common_pruning.cpython-310.pyc,, +torch/testing/_internal/__pycache__/common_quantization.cpython-310.pyc,, +torch/testing/_internal/__pycache__/common_quantized.cpython-310.pyc,, +torch/testing/_internal/__pycache__/common_subclass.cpython-310.pyc,, +torch/testing/_internal/__pycache__/common_utils.cpython-310.pyc,, +torch/testing/_internal/__pycache__/composite_compliance.cpython-310.pyc,, +torch/testing/_internal/__pycache__/control_flow_opinfo_db.cpython-310.pyc,, +torch/testing/_internal/__pycache__/custom_op_db.cpython-310.pyc,, +torch/testing/_internal/__pycache__/dist_utils.cpython-310.pyc,, +torch/testing/_internal/__pycache__/hypothesis_utils.cpython-310.pyc,, +torch/testing/_internal/__pycache__/inductor_utils.cpython-310.pyc,, +torch/testing/_internal/__pycache__/jit_metaprogramming_utils.cpython-310.pyc,, +torch/testing/_internal/__pycache__/jit_utils.cpython-310.pyc,, +torch/testing/_internal/__pycache__/logging_tensor.cpython-310.pyc,, +torch/testing/_internal/__pycache__/logging_utils.cpython-310.pyc,, +torch/testing/_internal/__pycache__/quantization_torch_package_models.cpython-310.pyc,, +torch/testing/_internal/__pycache__/triton_utils.cpython-310.pyc,, +torch/testing/_internal/__pycache__/two_tensor.cpython-310.pyc,, +torch/testing/_internal/autocast_test_lists.py,sha256=enXrAHSWzDE3n1kb92utTzMg3DwfLdK6nFI_AsXMUTI,23991 +torch/testing/_internal/autograd_function_db.py,sha256=ikTK0NO_djLesLkd2hyXOhnOvUhmunfjenycmDol5wc,19403 +torch/testing/_internal/check_kernel_launches.py,sha256=wnY3qFlZXs0zHTP_g3of0QyEkTcEzVifpXHfO05Cmwo,6030 +torch/testing/_internal/codegen/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/testing/_internal/codegen/__pycache__/__init__.cpython-310.pyc,, +torch/testing/_internal/common_cuda.py,sha256=_Nr11g5lq9pLuqfbjlXJNQWcPVkiewXeOI82e7Z24Ws,10199 +torch/testing/_internal/common_device_type.py,sha256=rs3H9yt0Ha0IBx1kMXvlaLym_faFY7SKp_Z8rdpK7Ok,62481 +torch/testing/_internal/common_dist_composable.py,sha256=3BvcyWtxHxs4UcaG0oRO1cmgqZgyc970kvXpgVWE18A,3401 +torch/testing/_internal/common_distributed.py,sha256=OUBvDIwB9CUfXsA7o_hsQjqakOqAMf9-XG0UyNjcOOo,44869 +torch/testing/_internal/common_dtype.py,sha256=3IHAuaWb6Y8OSCYlK42NfZvxsYUYJsFod-ZL05zpDO0,4349 +torch/testing/_internal/common_fsdp.py,sha256=xbjJovKv6SLQ63FnGLvhdjFt43oy9bwc_sJd5xuwJLs,45524 +torch/testing/_internal/common_jit.py,sha256=14Oo5y-k-COd6YwiKn9KQQoddPse8jm5C7_Hy2tk46g,15830 +torch/testing/_internal/common_methods_invocations.py,sha256=Z5WrBpKvPM1GyIEulxbQcCfUf6-Ot3IfyMRno9HtrEw,1097693 +torch/testing/_internal/common_modules.py,sha256=yFlEQ4y5ur9cCuNn5Dh5ivvcErG8t3xWZJWAI4Xzxjs,175417 +torch/testing/_internal/common_nn.py,sha256=rwgGnz4uW6vBTdv9Fr6KPFkCmF6sPsp1r6PuYjXSIwg,205951 +torch/testing/_internal/common_pruning.py,sha256=VFsdreF0Rbzf8X3AAQeqzbBFqpQPsetBuMc3rlIJzlE,12922 +torch/testing/_internal/common_quantization.py,sha256=qEoB9dbnRytRX-QzvZuHHuPX96jZGUU4TOeA_cbw7mo,98573 +torch/testing/_internal/common_quantized.py,sha256=bxmLoAI34HuSVb2mH2hxBWPte1T89tYtjxj7QUEzDLE,8680 +torch/testing/_internal/common_subclass.py,sha256=cHNQKDIrHceapWSUsUmkeajqRjfx1ORfvVmfjufknVw,8009 +torch/testing/_internal/common_utils.py,sha256=56ntsvAJrFf-0HunBTnMEu4ok2v4yUKlZ_8QNhIgOzk,210534 +torch/testing/_internal/composite_compliance.py,sha256=OrgiD9PCf4CgJtZ12DVxVbIXsOWdx2qZOYmC-8KJnJs,25294 +torch/testing/_internal/control_flow_opinfo_db.py,sha256=Rg4i-iyI9QlAgvc5lR3PFD_mgGSDq2VOe9uwKupeuP8,2445 +torch/testing/_internal/custom_op_db.py,sha256=1Bw5F8DLr0ZAJd2Ht8RQb0eBMbdkuxoKWUMfbcyLKKg,16657 +torch/testing/_internal/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/testing/_internal/data/__pycache__/__init__.cpython-310.pyc,, +torch/testing/_internal/data/__pycache__/network1.cpython-310.pyc,, +torch/testing/_internal/data/__pycache__/network2.cpython-310.pyc,, +torch/testing/_internal/data/network1.py,sha256=6DYN58kBBV2EzO3ChJG2MWWQUfzS7-wigEwMIes-Yac,138 +torch/testing/_internal/data/network2.py,sha256=ekGlPqzuRrycLuxj9Hdig4KOg_nxnZb3rohdp9SkNcY,168 +torch/testing/_internal/dist_utils.py,sha256=6IEwiA_Kc7MGt_2JliVHOq-_GRikgo5d9sJdWfVFq1w,7400 +torch/testing/_internal/distributed/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/testing/_internal/distributed/__pycache__/__init__.cpython-310.pyc,, +torch/testing/_internal/distributed/__pycache__/checkpoint_utils.cpython-310.pyc,, +torch/testing/_internal/distributed/__pycache__/common_state_dict.cpython-310.pyc,, +torch/testing/_internal/distributed/__pycache__/ddp_under_dist_autograd_test.cpython-310.pyc,, +torch/testing/_internal/distributed/__pycache__/distributed_test.cpython-310.pyc,, +torch/testing/_internal/distributed/__pycache__/distributed_utils.cpython-310.pyc,, +torch/testing/_internal/distributed/__pycache__/fake_pg.cpython-310.pyc,, +torch/testing/_internal/distributed/__pycache__/multi_threaded_pg.cpython-310.pyc,, +torch/testing/_internal/distributed/__pycache__/pipe_with_ddp_test.cpython-310.pyc,, +torch/testing/_internal/distributed/__pycache__/rpc_utils.cpython-310.pyc,, +torch/testing/_internal/distributed/_shard/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/testing/_internal/distributed/_shard/__pycache__/__init__.cpython-310.pyc,, +torch/testing/_internal/distributed/_shard/__pycache__/test_common.cpython-310.pyc,, +torch/testing/_internal/distributed/_shard/sharded_tensor/__init__.py,sha256=NaIFjv9ny72ZMqa0aZjmTFtIuI70R5Pxic6ZNG_5L-s,3151 +torch/testing/_internal/distributed/_shard/sharded_tensor/__pycache__/__init__.cpython-310.pyc,, +torch/testing/_internal/distributed/_shard/sharded_tensor/__pycache__/_test_ops_common.cpython-310.pyc,, +torch/testing/_internal/distributed/_shard/sharded_tensor/__pycache__/_test_st_common.cpython-310.pyc,, +torch/testing/_internal/distributed/_shard/sharded_tensor/_test_ops_common.py,sha256=Cmyz1a-RJYEcQ-Dxw1OBxdDK7nMTDywNv8xPWAlzJGo,3982 +torch/testing/_internal/distributed/_shard/sharded_tensor/_test_st_common.py,sha256=v4jaJK3SIglcWT8f3NLtF1ynT5o6dME1FBaPNsYDjls,1673 +torch/testing/_internal/distributed/_shard/test_common.py,sha256=QIVLGSZr7ExuXFjlENn8IkdT8y9FsD_X8rUt2LJM4hc,1192 +torch/testing/_internal/distributed/_tensor/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/testing/_internal/distributed/_tensor/__pycache__/__init__.cpython-310.pyc,, +torch/testing/_internal/distributed/_tensor/__pycache__/common_dtensor.cpython-310.pyc,, +torch/testing/_internal/distributed/_tensor/common_dtensor.py,sha256=31kETbbs_wulKm-h3ABBBt-d186EOpv6RkZuJlxUw_g,12410 +torch/testing/_internal/distributed/checkpoint_utils.py,sha256=68LBKFshiaht6MLup3FXWt_1-gzmdQSMmobkCG388Vs,1122 +torch/testing/_internal/distributed/common_state_dict.py,sha256=RiVPr7T_ur6xKkSEUyrGlHSnjZMX8MgH8Wj1gcgnTcw,4194 +torch/testing/_internal/distributed/ddp_under_dist_autograd_test.py,sha256=nqWcPiYgoBypX9BUw_AL_94ETAw7XOf4XNPQn4Hi30o,26738 +torch/testing/_internal/distributed/distributed_test.py,sha256=ccuozUCwi94Nzpradn0mSX-m-SgR5Kp2QmpzpiCgAGo,425619 +torch/testing/_internal/distributed/distributed_utils.py,sha256=2Z6HBB_BpmZO88gBfJjZD4iJnuObBEf8veZEg1nxKbg,1920 +torch/testing/_internal/distributed/fake_pg.py,sha256=BLEs9zA4Air__QZO4E31SjQL90XAO3YvuysWOkIEZWw,4813 +torch/testing/_internal/distributed/multi_threaded_pg.py,sha256=pJpCc3uxJ_JchiRIkSra99AeJkAnC9aBXhIftin2Zk0,16520 +torch/testing/_internal/distributed/nn/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/testing/_internal/distributed/nn/__pycache__/__init__.cpython-310.pyc,, +torch/testing/_internal/distributed/nn/api/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/testing/_internal/distributed/nn/api/__pycache__/__init__.cpython-310.pyc,, +torch/testing/_internal/distributed/nn/api/__pycache__/remote_module_test.cpython-310.pyc,, +torch/testing/_internal/distributed/nn/api/remote_module_test.py,sha256=WgLnw45URgOyog62F0DOtfCwAr05ZDHzg57GzTB9m3g,29249 +torch/testing/_internal/distributed/pipe_with_ddp_test.py,sha256=TruuegEScomKPT0QMroHgn1ttMsleYJVhdfAddlo5gk,5152 +torch/testing/_internal/distributed/pipeline/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/testing/_internal/distributed/pipeline/__pycache__/__init__.cpython-310.pyc,, +torch/testing/_internal/distributed/rpc/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/testing/_internal/distributed/rpc/__pycache__/__init__.cpython-310.pyc,, +torch/testing/_internal/distributed/rpc/__pycache__/dist_autograd_test.cpython-310.pyc,, +torch/testing/_internal/distributed/rpc/__pycache__/dist_optimizer_test.cpython-310.pyc,, +torch/testing/_internal/distributed/rpc/__pycache__/faulty_agent_rpc_test.cpython-310.pyc,, +torch/testing/_internal/distributed/rpc/__pycache__/faulty_rpc_agent_test_fixture.cpython-310.pyc,, +torch/testing/_internal/distributed/rpc/__pycache__/rpc_agent_test_fixture.cpython-310.pyc,, +torch/testing/_internal/distributed/rpc/__pycache__/rpc_test.cpython-310.pyc,, +torch/testing/_internal/distributed/rpc/__pycache__/tensorpipe_rpc_agent_test_fixture.cpython-310.pyc,, +torch/testing/_internal/distributed/rpc/dist_autograd_test.py,sha256=HokgCXCRJ_mP7lE9pSsv27zMasnLZpwHvJbGZVwI9GY,107677 +torch/testing/_internal/distributed/rpc/dist_optimizer_test.py,sha256=AKUsgefiiMnm62366iTNgNxBAVqpe2f0-OBz0ltwsPE,10602 +torch/testing/_internal/distributed/rpc/examples/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/testing/_internal/distributed/rpc/examples/__pycache__/__init__.cpython-310.pyc,, +torch/testing/_internal/distributed/rpc/examples/__pycache__/parameter_server_test.cpython-310.pyc,, +torch/testing/_internal/distributed/rpc/examples/__pycache__/reinforcement_learning_rpc_test.cpython-310.pyc,, +torch/testing/_internal/distributed/rpc/examples/parameter_server_test.py,sha256=7BDZ9SMByAe6vhT66g71IkuZHkZRlNPsJXskdarwTmI,4537 +torch/testing/_internal/distributed/rpc/examples/reinforcement_learning_rpc_test.py,sha256=VFTh9b2-ySPYdnjvhPStN_5w7Ls2dv3Px0xyGJvFIUo,9309 +torch/testing/_internal/distributed/rpc/faulty_agent_rpc_test.py,sha256=fw4Gcjb3t76uIJ_BoS59S2RAOBm1trFa7y7dH7gfitE,14104 +torch/testing/_internal/distributed/rpc/faulty_rpc_agent_test_fixture.py,sha256=afp7uyeaw9zLPARJK8I9TQmHz21cNxCGUxei0IDErD0,2195 +torch/testing/_internal/distributed/rpc/jit/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/testing/_internal/distributed/rpc/jit/__pycache__/__init__.cpython-310.pyc,, +torch/testing/_internal/distributed/rpc/jit/__pycache__/dist_autograd_test.cpython-310.pyc,, +torch/testing/_internal/distributed/rpc/jit/__pycache__/rpc_test.cpython-310.pyc,, +torch/testing/_internal/distributed/rpc/jit/__pycache__/rpc_test_faulty.cpython-310.pyc,, +torch/testing/_internal/distributed/rpc/jit/dist_autograd_test.py,sha256=fckrFikSk-BRViMAzZjC811S2L39LqTxbjdLK3Sce3c,4207 +torch/testing/_internal/distributed/rpc/jit/rpc_test.py,sha256=Cci-NpxEIWkaqqHWuPR4kHL68U_qjTxKYY9WYVsqaIg,47256 +torch/testing/_internal/distributed/rpc/jit/rpc_test_faulty.py,sha256=I0Ga9pH0apPtyu45JrzO87vPA0aFkWLBNg_ynDhZ3Rc,8004 +torch/testing/_internal/distributed/rpc/rpc_agent_test_fixture.py,sha256=hLuWyH-nbjp13ngQ2EStT3OSM91q_gwIky-kwBONpUM,1885 +torch/testing/_internal/distributed/rpc/rpc_test.py,sha256=298mmm_6IWwih5jJDNeNmcJqvoVnk2rfMlGAvrlkKHo,228829 +torch/testing/_internal/distributed/rpc/tensorpipe_rpc_agent_test_fixture.py,sha256=PiasAWjtpp_xNcZDf47eNbfI4HayvR_7koRptNc-yWc,1001 +torch/testing/_internal/distributed/rpc_utils.py,sha256=GDH7U0Wg35_gfaIpS-U8mybo2Tog0Xx0a8w7Fe6Row8,6711 +torch/testing/_internal/generated/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/testing/_internal/generated/__pycache__/__init__.cpython-310.pyc,, +torch/testing/_internal/generated/__pycache__/annotated_fn_args.cpython-310.pyc,, +torch/testing/_internal/generated/annotated_fn_args.py,sha256=Dfhmbtz6T-j2BGcWRQLuEHJOc6pc-arNkjSOeCbrxDw,530566 +torch/testing/_internal/hypothesis_utils.py,sha256=GyPJ5wIJztS_PPI6lbBxXa0ApK7W-Ypa5alSBzLC5ac,14671 +torch/testing/_internal/inductor_utils.py,sha256=gGZ0dXSf8TX0CLkMnCsqxG_nBJdvpltJNtLj3UdJ2l8,1788 +torch/testing/_internal/jit_metaprogramming_utils.py,sha256=o_99HhO06-lOGvzCQxSBAsBanmieKvnLltGCi8WmZyI,32877 +torch/testing/_internal/jit_utils.py,sha256=bqqkxd6evQKUSktkXg1VoNp9U59JkziGaQhwNeH4eHI,33975 +torch/testing/_internal/logging_tensor.py,sha256=RmyfM0Muo7p5P9gv27wnShuDEEWx9Pl46EdqTS8RDkI,6962 +torch/testing/_internal/logging_utils.py,sha256=OABAZmdGqInn_MdPUI1ns_K-_soXRkzaPkYzTTwWgjQ,5911 +torch/testing/_internal/opinfo/__init__.py,sha256=_i6uR_C_iN-oioVw6K-FcElEtex_LDx28E3Kk8Nf95s,93 +torch/testing/_internal/opinfo/__pycache__/__init__.cpython-310.pyc,, +torch/testing/_internal/opinfo/__pycache__/core.cpython-310.pyc,, +torch/testing/_internal/opinfo/__pycache__/refs.cpython-310.pyc,, +torch/testing/_internal/opinfo/__pycache__/utils.cpython-310.pyc,, +torch/testing/_internal/opinfo/core.py,sha256=0qZ3v9QPyG4GNUrBLDOUwy5qwYkxEym6TJYU58bSgpw,110219 +torch/testing/_internal/opinfo/definitions/__init__.py,sha256=nys_TqIYVqFNhcx7uCLpBGcm5mLl4vSpZ5OgvIXUciw,453 +torch/testing/_internal/opinfo/definitions/__pycache__/__init__.cpython-310.pyc,, +torch/testing/_internal/opinfo/definitions/__pycache__/_masked.cpython-310.pyc,, +torch/testing/_internal/opinfo/definitions/__pycache__/fft.cpython-310.pyc,, +torch/testing/_internal/opinfo/definitions/__pycache__/linalg.cpython-310.pyc,, +torch/testing/_internal/opinfo/definitions/__pycache__/signal.cpython-310.pyc,, +torch/testing/_internal/opinfo/definitions/__pycache__/sparse.cpython-310.pyc,, +torch/testing/_internal/opinfo/definitions/__pycache__/special.cpython-310.pyc,, +torch/testing/_internal/opinfo/definitions/_masked.py,sha256=L2ovsPwE_lUX1-7BqyBWySaC8OrthJWhFKM8wNrmwAI,45466 +torch/testing/_internal/opinfo/definitions/fft.py,sha256=kuhO8xxDPbnPHX2D9JUp8n7SGfPyc5KKPbsLNxlZ-SE,29907 +torch/testing/_internal/opinfo/definitions/linalg.py,sha256=El5T2LMVU-YttaC1vXr_2NF6FaPBdsDZoiSk8Rv_nAY,87372 +torch/testing/_internal/opinfo/definitions/signal.py,sha256=QzgwzXcTgBw90WrMOggUYzWL2bnMjVlXcFmN7WM1g_o,15270 +torch/testing/_internal/opinfo/definitions/sparse.py,sha256=_rx8Fj04-O76rUo_z5pxI-2yPxe4SblK97j_BVpa5hA,34091 +torch/testing/_internal/opinfo/definitions/special.py,sha256=CgayVHfCgU--JaaycE3zgw2N5eHQ6K2vc-zKSgS3rgg,26999 +torch/testing/_internal/opinfo/refs.py,sha256=g35aC9qKWlySCO-i3FAtcqnCc5VDCmjgGb6LFsFh-BI,8015 +torch/testing/_internal/opinfo/utils.py,sha256=2qOGtdEpbEIqyi7jhe-q-xnUiErnYd9wo7RnihkEudA,8677 +torch/testing/_internal/optests/__init__.py,sha256=uQbkBCpTa-K0GW9dFCROoiVu5ul2hxBWILIlMvb9jbs,349 +torch/testing/_internal/optests/__pycache__/__init__.cpython-310.pyc,, +torch/testing/_internal/optests/__pycache__/aot_autograd.cpython-310.pyc,, +torch/testing/_internal/optests/__pycache__/autograd_registration.cpython-310.pyc,, +torch/testing/_internal/optests/__pycache__/fake_tensor.cpython-310.pyc,, +torch/testing/_internal/optests/__pycache__/generate_tests.cpython-310.pyc,, +torch/testing/_internal/optests/__pycache__/make_fx.cpython-310.pyc,, +torch/testing/_internal/optests/aot_autograd.py,sha256=4XpW6kCLw1_Bkk-DEVt2PZhcJk9qISh24I94nQCxMeo,6059 +torch/testing/_internal/optests/autograd_registration.py,sha256=U3_rouJ0kaavjkkDRGkZNCrb13bJgrPL1d5H8HIOb4M,5669 +torch/testing/_internal/optests/fake_tensor.py,sha256=GsBrFvbErdJNklQ9_C7kdgM-KK4xp5Gp1nnZag9NDFQ,234 +torch/testing/_internal/optests/generate_tests.py,sha256=nceGvjL0DnSwb5bNB4kUQgJ-AWqB6nbs_4ek3-aQTdQ,32322 +torch/testing/_internal/optests/make_fx.py,sha256=haSaamzUQLeZp7vFnxSRl2UqO19_y_nCYrIhJxb-5oE,3275 +torch/testing/_internal/quantization_torch_package_models.py,sha256=d234BBjduICTx_nhR6BJytqxxsG_ItYfvlyL0uBmCys,928 +torch/testing/_internal/test_module/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/testing/_internal/test_module/__pycache__/__init__.cpython-310.pyc,, +torch/testing/_internal/test_module/__pycache__/future_div.cpython-310.pyc,, +torch/testing/_internal/test_module/__pycache__/no_future_div.cpython-310.pyc,, +torch/testing/_internal/test_module/future_div.py,sha256=c87v3k0N3odWDds4HexV9gIEWQk6W0Hl4PtXgyTvcpQ,91 +torch/testing/_internal/test_module/no_future_div.py,sha256=SKW0a-yqFgowu4GOSxu19AaZDvO94x-TnLqUwYtpxcQ,122 +torch/testing/_internal/triton_utils.py,sha256=Il1lUpZDAhd7gWJiA2Euuq6oA7wJaaqXdDTErwXMTjo,4797 +torch/testing/_internal/two_tensor.py,sha256=e-4jCySOMNYXfVCB3zl1zOapNSR1K-P4DwY6blLmUDQ,2895 +torch/torch_version.py,sha256=jYUKVImteNfD6ipbygn8yYj6KvKCIMFUIpc8bQv7AvI,2439 +torch/types.py,sha256=U7ywj32b9fXLkIJar32y229JRO9mIKN01DJUyhp0kCM,2476 +torch/utils/__init__.py,sha256=iLkP49GYAe2fd6rxsi5mBFWVtonzOFrmAqWOZY5F4MA,786 +torch/utils/__pycache__/__init__.cpython-310.pyc,, +torch/utils/__pycache__/_config_module.cpython-310.pyc,, +torch/utils/__pycache__/_content_store.cpython-310.pyc,, +torch/utils/__pycache__/_contextlib.cpython-310.pyc,, +torch/utils/__pycache__/_cpp_extension_versioner.cpython-310.pyc,, +torch/utils/__pycache__/_cuda_trace.cpython-310.pyc,, +torch/utils/__pycache__/_cxx_pytree.cpython-310.pyc,, +torch/utils/__pycache__/_device.cpython-310.pyc,, +torch/utils/__pycache__/_foreach_utils.cpython-310.pyc,, +torch/utils/__pycache__/_freeze.cpython-310.pyc,, +torch/utils/__pycache__/_mode_utils.cpython-310.pyc,, +torch/utils/__pycache__/_python_dispatch.cpython-310.pyc,, +torch/utils/__pycache__/_pytree.cpython-310.pyc,, +torch/utils/__pycache__/_stats.cpython-310.pyc,, +torch/utils/__pycache__/_traceback.cpython-310.pyc,, +torch/utils/__pycache__/_triton.cpython-310.pyc,, +torch/utils/__pycache__/_zip.cpython-310.pyc,, +torch/utils/__pycache__/backend_registration.cpython-310.pyc,, +torch/utils/__pycache__/bundled_inputs.cpython-310.pyc,, +torch/utils/__pycache__/checkpoint.cpython-310.pyc,, +torch/utils/__pycache__/collect_env.cpython-310.pyc,, +torch/utils/__pycache__/cpp_backtrace.cpython-310.pyc,, +torch/utils/__pycache__/cpp_extension.cpython-310.pyc,, +torch/utils/__pycache__/deterministic.cpython-310.pyc,, +torch/utils/__pycache__/dlpack.cpython-310.pyc,, +torch/utils/__pycache__/file_baton.cpython-310.pyc,, +torch/utils/__pycache__/flop_counter.cpython-310.pyc,, +torch/utils/__pycache__/hooks.cpython-310.pyc,, +torch/utils/__pycache__/mkldnn.cpython-310.pyc,, +torch/utils/__pycache__/mobile_optimizer.cpython-310.pyc,, +torch/utils/__pycache__/model_zoo.cpython-310.pyc,, +torch/utils/__pycache__/show_pickle.cpython-310.pyc,, +torch/utils/__pycache__/throughput_benchmark.cpython-310.pyc,, +torch/utils/__pycache__/weak.cpython-310.pyc,, +torch/utils/_config_module.py,sha256=RhYuRbXmcOPtuWVA-KDkeyzf6NxR13IkwfvRMT-uvOY,12317 +torch/utils/_content_store.py,sha256=m7UXNUDv4qIyvacW2Y-DL-8tb2ikM8ivV-vC4SWYfHw,9051 +torch/utils/_contextlib.py,sha256=fpbRiiugz_Dt-0QO-QaZNYywYzz1jwYBOnvjzwCHU54,5933 +torch/utils/_cpp_extension_versioner.py,sha256=n3pYPPuHBiTL0YXX8AKIfF3f18Q2V9ni-q1IFyRA_q0,1983 +torch/utils/_cuda_trace.py,sha256=llPZZzSnIZx_KTQ2GmPXsm-fyc3YhucIrh4hqKJI3yM,3214 +torch/utils/_cxx_pytree.py,sha256=JUmoA6ngY72EaQ4c3zXwYEd-0BCxZ2K1w2Qv1kAxt1Y,22597 +torch/utils/_device.py,sha256=jNlBs0GW0UaoP5rLz1R_zwVmrVEq3ke7sA9-u9ayfjU,2696 +torch/utils/_foreach_utils.py,sha256=fyJ2YQZo8uVEncjZnvhZJY04zEkYDzKPVk13f81VMuM,2306 +torch/utils/_freeze.py,sha256=GaQjspljkx1QyJmX1YOSDuPmtZNV2vLCSLJe8ZiFbRw,9984 +torch/utils/_mode_utils.py,sha256=bdhzmPEOoAyWFpi_N8H0mLrDcdnIaRPLg12sW04D6Xc,224 +torch/utils/_python_dispatch.py,sha256=yM4MVBB1385ncGqKCpdgU9cmrPSqCJAPLozwz3YrESo,18885 +torch/utils/_pytree.py,sha256=92VRW-hXQ87fJlXKRiLMboUD48KZ73tp5YPxNisPwoU,30966 +torch/utils/_stats.py,sha256=v9hpjA1J5TxEcgV8I13izjjnMEtfbTYRsLIs454dfmY,810 +torch/utils/_sympy/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/utils/_sympy/__pycache__/__init__.cpython-310.pyc,, +torch/utils/_sympy/__pycache__/functions.cpython-310.pyc,, +torch/utils/_sympy/__pycache__/interp.cpython-310.pyc,, +torch/utils/_sympy/__pycache__/reference.cpython-310.pyc,, +torch/utils/_sympy/__pycache__/singleton_int.cpython-310.pyc,, +torch/utils/_sympy/__pycache__/solve.cpython-310.pyc,, +torch/utils/_sympy/__pycache__/value_ranges.cpython-310.pyc,, +torch/utils/_sympy/functions.py,sha256=IR92CTXddPgRjC3EyTTXVx_Hwa0EAEw7FdW7bUeLO8Y,10528 +torch/utils/_sympy/interp.py,sha256=wh6oSRiymmX_OrmS436TIXI1MM5Yk4cQBKF4Eyx1ZvQ,3218 +torch/utils/_sympy/reference.py,sha256=Py7Mbj9bLrghyDo0vaJNCHIZLaUgttX-9Duz6Pi95k4,4726 +torch/utils/_sympy/singleton_int.py,sha256=t70-3zct7mu8u9rsbLeOyu856iLESX_QSC8Fu1_pk8w,2943 +torch/utils/_sympy/solve.py,sha256=7DdP1p7BBXZSOU2_1Px3-tqq31ncioR9EW1KNDAcJP8,6375 +torch/utils/_sympy/value_ranges.py,sha256=1PZnonie53qhStY_SNgT-sYZ43QrQe6Op3C9gRxLUP4,20853 +torch/utils/_traceback.py,sha256=fnWQmJVuORB_PLUe_wJ3OcbFlbNZB2IhnfLyQTYOgG0,10278 +torch/utils/_triton.py,sha256=Td5zW-EpVx5xMw9PGzWiAl78029ViZTcmnhiZF0LqWY,633 +torch/utils/_zip.py,sha256=-07OT--l6VTWg8TbSALMWt6NGoeU5Oj3RElcuZsjxk8,2427 +torch/utils/backcompat/__init__.py,sha256=SlNVS5fa_8ICovkQms2POqb1nYDlWRFz3TRidWHoQYM,667 +torch/utils/backcompat/__pycache__/__init__.cpython-310.pyc,, +torch/utils/backend_registration.py,sha256=Ws628Rp2x6IelvlqYjbexDd677KvGxBkbkMaso645Mw,16810 +torch/utils/benchmark/__init__.py,sha256=VMZoFTt8YGaScu3-5L1uWwMOED8FRYoEBAX37RFJ3c0,411 +torch/utils/benchmark/__pycache__/__init__.cpython-310.pyc,, +torch/utils/benchmark/examples/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/utils/benchmark/examples/__pycache__/__init__.cpython-310.pyc,, +torch/utils/benchmark/examples/__pycache__/blas_compare_setup.cpython-310.pyc,, +torch/utils/benchmark/examples/__pycache__/compare.cpython-310.pyc,, +torch/utils/benchmark/examples/__pycache__/fuzzer.cpython-310.pyc,, +torch/utils/benchmark/examples/__pycache__/op_benchmark.cpython-310.pyc,, +torch/utils/benchmark/examples/__pycache__/simple_timeit.cpython-310.pyc,, +torch/utils/benchmark/examples/__pycache__/spectral_ops_fuzz_test.cpython-310.pyc,, +torch/utils/benchmark/examples/blas_compare_setup.py,sha256=g8upsGcYCN4v_x1wDxyvzyht8Ao4mFSii0VUqFzjZUg,7149 +torch/utils/benchmark/examples/compare.py,sha256=_5h_qKk1qCNWiNPYJ1yrO2s7Szz-aEHcTAPMXHDn37s,2888 +torch/utils/benchmark/examples/fuzzer.py,sha256=1Zn-WEXHghMA8XGT1NGqBzrC9I0QX-ZR04_qu6SpuMg,2623 +torch/utils/benchmark/examples/op_benchmark.py,sha256=Fju6Wnd51zR-ltjZSKVjP2LVmtGKoPOdg7hHwAiKn_4,4176 +torch/utils/benchmark/examples/simple_timeit.py,sha256=-ZXxBv6jUWNKaoDSAIdyFv7s7Jr_5MRDFQUale5ychc,533 +torch/utils/benchmark/examples/spectral_ops_fuzz_test.py,sha256=5sBJOkeKcZMSHhI7ksCnQnbukw56Qp6BGbpJs-HOxvw,4716 +torch/utils/benchmark/op_fuzzers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/utils/benchmark/op_fuzzers/__pycache__/__init__.cpython-310.pyc,, +torch/utils/benchmark/op_fuzzers/__pycache__/binary.cpython-310.pyc,, +torch/utils/benchmark/op_fuzzers/__pycache__/sparse_binary.cpython-310.pyc,, +torch/utils/benchmark/op_fuzzers/__pycache__/sparse_unary.cpython-310.pyc,, +torch/utils/benchmark/op_fuzzers/__pycache__/spectral.cpython-310.pyc,, +torch/utils/benchmark/op_fuzzers/__pycache__/unary.cpython-310.pyc,, +torch/utils/benchmark/op_fuzzers/binary.py,sha256=uLwDtIzVosONoqYgeWpqovKzLOhb1Er9_9ClF0diO38,4109 +torch/utils/benchmark/op_fuzzers/sparse_binary.py,sha256=vw4fmfPC3JwGOgI8fz13k9wlCwGhgZMQt9nUjIO8drg,4191 +torch/utils/benchmark/op_fuzzers/sparse_unary.py,sha256=cINlZXC8v87lhxOmMuoNCyIvLDSkunGmxbezHawDUEE,3219 +torch/utils/benchmark/op_fuzzers/spectral.py,sha256=qxFUTHZf4YuX6WYrHd2s92-qmcWWy9tMUeNBTcJFlZM,3597 +torch/utils/benchmark/op_fuzzers/unary.py,sha256=OYGfWne_fZWUqZXz_hv2glMpYoO3cvIdWeYcEUF7ZGk,3119 +torch/utils/benchmark/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/utils/benchmark/utils/__pycache__/__init__.cpython-310.pyc,, +torch/utils/benchmark/utils/__pycache__/_stubs.cpython-310.pyc,, +torch/utils/benchmark/utils/__pycache__/common.cpython-310.pyc,, +torch/utils/benchmark/utils/__pycache__/compare.cpython-310.pyc,, +torch/utils/benchmark/utils/__pycache__/compile.cpython-310.pyc,, +torch/utils/benchmark/utils/__pycache__/cpp_jit.cpython-310.pyc,, +torch/utils/benchmark/utils/__pycache__/fuzzer.cpython-310.pyc,, +torch/utils/benchmark/utils/__pycache__/sparse_fuzzer.cpython-310.pyc,, +torch/utils/benchmark/utils/__pycache__/timer.cpython-310.pyc,, +torch/utils/benchmark/utils/_stubs.py,sha256=YapnkkFuitztF2XrMHTR9A2EsGm0lsrhmqTRcHPYhjM,976 +torch/utils/benchmark/utils/common.py,sha256=tLR_iCKrGxaNoVp3ADbhtagzmdclVQO20T8ezUZkOSc,13657 +torch/utils/benchmark/utils/compare.py,sha256=Fy1OMNhbVRNhTbdUmiyn3OC26zBAZ_jTshM9krjTmTo,12321 +torch/utils/benchmark/utils/compile.py,sha256=14bePS2c3Mk2iQ7SWZfCIAkfCeEsUwJatIkeMExjKNI,7523 +torch/utils/benchmark/utils/cpp_jit.py,sha256=Lfphq1CRzmhr0WKibv_A5b2DgeHRVJ8SHGiFGroC_I4,6811 +torch/utils/benchmark/utils/fuzzer.py,sha256=4oJD_lJdORFva8zcawh3VYTrWcrMlfNwt3GAFVCszuA,18218 +torch/utils/benchmark/utils/sparse_fuzzer.py,sha256=qFZbulBusYEEa01YcOLtijrFFe4_3YxTPca2JytuWlE,5140 +torch/utils/benchmark/utils/timeit_template.cpp,sha256=Wzz-o6Yjgq3tkmUTxeRldQxrsETh48T2hwL8xbOkRSg,1009 +torch/utils/benchmark/utils/timer.py,sha256=C2hkI8ebE8jv6xW0u34pwUpwpcjsBsHcRSaHiLX_mTE,21064 +torch/utils/benchmark/utils/valgrind_wrapper/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/utils/benchmark/utils/valgrind_wrapper/__pycache__/__init__.cpython-310.pyc,, +torch/utils/benchmark/utils/valgrind_wrapper/__pycache__/timer_interface.cpython-310.pyc,, +torch/utils/benchmark/utils/valgrind_wrapper/callgrind.h,sha256=wK1NVdRImF_4WVLlQrXkufunvE0qLr5dw50v86KPIo0,5744 +torch/utils/benchmark/utils/valgrind_wrapper/compat_bindings.cpp,sha256=ysuof0blt-4g76St1LUrdlZLiaCBKjwjwZXE0L4nI74,813 +torch/utils/benchmark/utils/valgrind_wrapper/timer_callgrind_template.cpp,sha256=ILVnffXHThuakEj3hzKv4usmt8rICdXpSTBeWKz7jU4,1676 +torch/utils/benchmark/utils/valgrind_wrapper/timer_interface.py,sha256=HINCe4XZOdfAaaWQ2WCfEtNFPttTciNMjPVt2srK4Lg,36863 +torch/utils/benchmark/utils/valgrind_wrapper/valgrind.h,sha256=8MpV41sjwR0bIML04pxlLIjVuGhRtWdy1Kmtax4jFLI,422653 +torch/utils/bottleneck/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/utils/bottleneck/__main__.py,sha256=Uh2fsD3cfveK-e5aLoa0MXO145rji_A2tZ8-v1TIMqg,7191 +torch/utils/bottleneck/__pycache__/__init__.cpython-310.pyc,, +torch/utils/bottleneck/__pycache__/__main__.cpython-310.pyc,, +torch/utils/bundled_inputs.py,sha256=m8ryZOFDjhfKtPXHeBjLj9s84OCIGS3IkBmeFkBb5C0,22470 +torch/utils/checkpoint.py,sha256=qX3CJCH5hUyFN91K5BaQSClKqS3iHCr-QslHqeq8Qkg,59841 +torch/utils/collect_env.py,sha256=ITSxCsoQ7ysCxt3f29pXk84iIlrPc0uhuq7P0NKwoic,21840 +torch/utils/cpp_backtrace.py,sha256=QplPUghMQv7i2oka1csp5zOVtPHebojb9co2oqWfqGs,456 +torch/utils/cpp_extension.py,sha256=eMlOag4LEdigkhFBxI8jEPu9EyV-axZwcNd870WhSk8,104362 +torch/utils/data/__init__.py,sha256=XZqNdyIRIGvowDMh9VjpENdqQIn8M-eGZLXHzgAIHW8,1956 +torch/utils/data/__pycache__/__init__.cpython-310.pyc,, +torch/utils/data/__pycache__/backward_compatibility.cpython-310.pyc,, +torch/utils/data/__pycache__/dataloader.cpython-310.pyc,, +torch/utils/data/__pycache__/dataset.cpython-310.pyc,, +torch/utils/data/__pycache__/distributed.cpython-310.pyc,, +torch/utils/data/__pycache__/graph.cpython-310.pyc,, +torch/utils/data/__pycache__/graph_settings.cpython-310.pyc,, +torch/utils/data/__pycache__/sampler.cpython-310.pyc,, +torch/utils/data/_utils/__init__.py,sha256=8BmCjmGwHeVZCGj4xnC-A4vWIi_xzFEuOrCzpa1H-Zk,1596 +torch/utils/data/_utils/__pycache__/__init__.cpython-310.pyc,, +torch/utils/data/_utils/__pycache__/collate.cpython-310.pyc,, +torch/utils/data/_utils/__pycache__/fetch.cpython-310.pyc,, +torch/utils/data/_utils/__pycache__/pin_memory.cpython-310.pyc,, +torch/utils/data/_utils/__pycache__/serialization.cpython-310.pyc,, +torch/utils/data/_utils/__pycache__/signal_handling.cpython-310.pyc,, +torch/utils/data/_utils/__pycache__/worker.cpython-310.pyc,, +torch/utils/data/_utils/collate.py,sha256=gLiK_h9tSJa84k6ofqy9yHfuJRCbYXYAegeVjZp_l0U,12766 +torch/utils/data/_utils/fetch.py,sha256=GdRAnSIv8M33zMNNJAa-Qdtm3J7xNPtZ8CiWqXakKkw,1928 +torch/utils/data/_utils/pin_memory.py,sha256=8Q9DfGUAd029cU1H7NPdUqQ5rklTnN9PMnVoqyRSUis,3125 +torch/utils/data/_utils/serialization.py,sha256=e-JpTQImbTBPPR8HdinIWx3yNJx-BV3HNPW5R3x2q-k,435 +torch/utils/data/_utils/signal_handling.py,sha256=5R_8bYrrUCJrnQ3BuMeaTl-02T4JKCm6vWXsjMaWHeg,3155 +torch/utils/data/_utils/worker.py,sha256=MWIvXYqlxryohQR23pwFPnx5giZ4mWQGn7INqNSQF2w,13381 +torch/utils/data/backward_compatibility.py,sha256=C2YszEKwbE-NUpm-THgWe9wcoChZlDAOPH2r3k07npo,212 +torch/utils/data/dataloader.py,sha256=-ed6SwoIJ80xjP9GyOj2XrcYyAyLalp6TbOGQXYQpNw,74159 +torch/utils/data/datapipes/__init__.py,sha256=yCobz1Svm4GireCenmOohIBB2ne0mVSJP7sukzkWAC8,61 +torch/utils/data/datapipes/__pycache__/__init__.cpython-310.pyc,, +torch/utils/data/datapipes/__pycache__/_decorator.cpython-310.pyc,, +torch/utils/data/datapipes/__pycache__/_hook_iterator.cpython-310.pyc,, +torch/utils/data/datapipes/__pycache__/_typing.cpython-310.pyc,, +torch/utils/data/datapipes/__pycache__/datapipe.cpython-310.pyc,, +torch/utils/data/datapipes/__pycache__/gen_pyi.cpython-310.pyc,, +torch/utils/data/datapipes/_decorator.py,sha256=x9-iaOGFmjNzITn3HtIfUaSSnz6AN-AdHFxNH4J2LyY,7461 +torch/utils/data/datapipes/_hook_iterator.py,sha256=537AUQHRJkpRk04Fxz2kHsVFpzqP399GlhYrzkbiqZo,11604 +torch/utils/data/datapipes/_typing.py,sha256=kB7amEhyNViZ4UvutuElL00SaP95DLWXd0m7CK_Dvf4,15760 +torch/utils/data/datapipes/dataframe/__init__.py,sha256=DG3VrNOAVSK8JORYiJJoJBuS9cHICGQFNevAc5PzwZE,335 +torch/utils/data/datapipes/dataframe/__pycache__/__init__.cpython-310.pyc,, +torch/utils/data/datapipes/dataframe/__pycache__/dataframe_wrapper.cpython-310.pyc,, +torch/utils/data/datapipes/dataframe/__pycache__/dataframes.cpython-310.pyc,, +torch/utils/data/datapipes/dataframe/__pycache__/datapipes.cpython-310.pyc,, +torch/utils/data/datapipes/dataframe/__pycache__/structures.cpython-310.pyc,, +torch/utils/data/datapipes/dataframe/dataframe_wrapper.py,sha256=Ba1jQcIipX9XUig5-29noYAhPaGP4BoyrCCe94AKyvg,3190 +torch/utils/data/datapipes/dataframe/dataframes.py,sha256=KJ03IiDftgSgIs2Bg-FnEBvRzmj3YPzFSD7JuZuwAMA,13331 +torch/utils/data/datapipes/dataframe/datapipes.py,sha256=464cGzIKNWVQRPumHKKcAbyUORytBgDAFwKKqMvLimc,4435 +torch/utils/data/datapipes/dataframe/structures.py,sha256=nhcATRzp1_7Yo7TH55yZR5rMKXhGmSRBbv5EKuTHYJw,578 +torch/utils/data/datapipes/datapipe.py,sha256=HirdtPHj3Jd4rXCN12LwYUn7qaiC75UboDdrneeAsrc,16997 +torch/utils/data/datapipes/datapipe.pyi,sha256=sbItVzqd8QFYglk0ZCYMeNbNH8DsQzCksVrM8qjijSM,32306 +torch/utils/data/datapipes/gen_pyi.py,sha256=QPZDgihMhwhtMwgEruuvdhxbb4pLzyhsok9NHNwqfys,10652 +torch/utils/data/datapipes/iter/__init__.py,sha256=2yQfue4Wyn-RZ_IM9FQwXtOzR_Gf8vBoqKzHkQGfmiM,1942 +torch/utils/data/datapipes/iter/__pycache__/__init__.cpython-310.pyc,, +torch/utils/data/datapipes/iter/__pycache__/callable.cpython-310.pyc,, +torch/utils/data/datapipes/iter/__pycache__/combinatorics.cpython-310.pyc,, +torch/utils/data/datapipes/iter/__pycache__/combining.cpython-310.pyc,, +torch/utils/data/datapipes/iter/__pycache__/filelister.cpython-310.pyc,, +torch/utils/data/datapipes/iter/__pycache__/fileopener.cpython-310.pyc,, +torch/utils/data/datapipes/iter/__pycache__/grouping.cpython-310.pyc,, +torch/utils/data/datapipes/iter/__pycache__/routeddecoder.cpython-310.pyc,, +torch/utils/data/datapipes/iter/__pycache__/selecting.cpython-310.pyc,, +torch/utils/data/datapipes/iter/__pycache__/sharding.cpython-310.pyc,, +torch/utils/data/datapipes/iter/__pycache__/streamreader.cpython-310.pyc,, +torch/utils/data/datapipes/iter/__pycache__/utils.cpython-310.pyc,, +torch/utils/data/datapipes/iter/callable.py,sha256=ByTzp8bG_RNx5JkOUXz5g9wZpY1tKTWQHqQXLASGsy0,9036 +torch/utils/data/datapipes/iter/combinatorics.py,sha256=uCCEieuwJxNkf5t0Lwa6ydbW4mO3SRkPKAaLiKXeBYw,6481 +torch/utils/data/datapipes/iter/combining.py,sha256=mRyH4ABzjsmps2_S90TEns-dWfKOFhrfrtRxjCZh5gs,26456 +torch/utils/data/datapipes/iter/filelister.py,sha256=Qis-y47Omt37HwbA6RiEUnHM8NYYe4CNsZc_xYtfz20,2513 +torch/utils/data/datapipes/iter/fileopener.py,sha256=x6Qtf28sDzePmjezODPstVOUM1MBXIrL2FZTaDTTd94,2767 +torch/utils/data/datapipes/iter/grouping.py,sha256=wXFrMHSLYy8Rme4W-D1vip38SEWlOFYLLzRk1g5LN-k,12227 +torch/utils/data/datapipes/iter/routeddecoder.py,sha256=KmuVA600kSLmIiJHGai2EY_2bMrv-_Rh56LQYAckYew,2723 +torch/utils/data/datapipes/iter/selecting.py,sha256=0ZpwMyMMRjp6VtnbFT0hmuVxnzHtJg9pTxDJYRM8n6Y,3209 +torch/utils/data/datapipes/iter/sharding.py,sha256=6AN5Kiufg9C3lHzgAydImO8NcCMyZ4LhguGRgvUc45g,3279 +torch/utils/data/datapipes/iter/streamreader.py,sha256=Ze48_FYS7bVrHtqjaiJ-q5NAzBOQjYi4if2PtEaE93c,1402 +torch/utils/data/datapipes/iter/utils.py,sha256=LrREYsnlWcEbFKe8LB0IilUVZvEvdtc9O5ZyMmqM1cg,1782 +torch/utils/data/datapipes/map/__init__.py,sha256=TjyQmY9aPPSsaz4UlfIrVF-4p6D3oO0dnvatLhTolTc,656 +torch/utils/data/datapipes/map/__pycache__/__init__.cpython-310.pyc,, +torch/utils/data/datapipes/map/__pycache__/callable.cpython-310.pyc,, +torch/utils/data/datapipes/map/__pycache__/combinatorics.cpython-310.pyc,, +torch/utils/data/datapipes/map/__pycache__/combining.cpython-310.pyc,, +torch/utils/data/datapipes/map/__pycache__/grouping.cpython-310.pyc,, +torch/utils/data/datapipes/map/__pycache__/utils.cpython-310.pyc,, +torch/utils/data/datapipes/map/callable.py,sha256=i4MYuJdPDvqA-aD5faUQltscvKg74e_8uEC0eebK_PA,1826 +torch/utils/data/datapipes/map/combinatorics.py,sha256=KPIZ5EBsULKCBKRQ8JrF-hT6MzDwbIupAjs4mtW6QXs,4169 +torch/utils/data/datapipes/map/combining.py,sha256=960zSG7ezQj2oEw7swZCHROaMDgVPEu_BKPf7JGc34k,3605 +torch/utils/data/datapipes/map/grouping.py,sha256=F2ugH-diNOkNURVCsAqlPrYry7yF51cCwLoWBK53tEI,2443 +torch/utils/data/datapipes/map/utils.py,sha256=vPBAutyCEVrsBoTa_Hto5udF4fMyr_DUDybKN7gydrI,1548 +torch/utils/data/datapipes/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/utils/data/datapipes/utils/__pycache__/__init__.cpython-310.pyc,, +torch/utils/data/datapipes/utils/__pycache__/common.cpython-310.pyc,, +torch/utils/data/datapipes/utils/__pycache__/decoder.cpython-310.pyc,, +torch/utils/data/datapipes/utils/__pycache__/snapshot.cpython-310.pyc,, +torch/utils/data/datapipes/utils/common.py,sha256=HejV2PiS1Kz7k76g0MDajdUISozTViHaWcFYKbt5fSE,13336 +torch/utils/data/datapipes/utils/decoder.py,sha256=bggs3qUjOZTS-43r6GcbOUhrX89q7OUnfu2ZYi56ONY,11001 +torch/utils/data/datapipes/utils/snapshot.py,sha256=agoPGlHj1B-RupEIAhp90C2sGNSfT3Xt4bcOZ5bcfjk,3046 +torch/utils/data/dataset.py,sha256=PT69VLrbFEj5FBe4BZFGbXqkCHGHofoK95R4GzkXGsk,18757 +torch/utils/data/distributed.py,sha256=j6LFqOp6Sh_wn6z-Gg82ymY9-DL3xOM4CfMExrA1jJg,5950 +torch/utils/data/graph.py,sha256=luU-YqZWqQ6iGWLaYjG86Qa_M4CGlN1oUOIbvn29uxI,5808 +torch/utils/data/graph_settings.py,sha256=P21zrjYbKkFwBhVIIW6OolNDLOZ51pLlnXT7BGhJfk4,5511 +torch/utils/data/sampler.py,sha256=vbYiOqLrnFf0sgdy0Rjl57hqN2W7bThwu3nbplYg01g,12477 +torch/utils/deterministic.py,sha256=BpY4euUvCC6eHbOsc7hipEV8q_H_GUgpR_8aXaaMIOU,584 +torch/utils/dlpack.py,sha256=eb7fXKDRQcr0oc0P49qpxE1_hsklavXoRSEUI8wPD00,4438 +torch/utils/file_baton.py,sha256=qmWcGdk3jPHLgt5L0vAPsFwUSk8hNDPJ_6PEzMoGhOk,1392 +torch/utils/flop_counter.py,sha256=qzl1FH3x3l_boN9I1tRkIDgnLWZwCYs6OXV0JJLvsTI,16537 +torch/utils/hipify/__init__.py,sha256=Jzb_RfgvXCrm_SQ4AfeGVi1N36YybxnM5mpyxrnihgI,33 +torch/utils/hipify/__pycache__/__init__.cpython-310.pyc,, +torch/utils/hipify/__pycache__/constants.cpython-310.pyc,, +torch/utils/hipify/__pycache__/cuda_to_hip_mappings.cpython-310.pyc,, +torch/utils/hipify/__pycache__/hipify_python.cpython-310.pyc,, +torch/utils/hipify/__pycache__/version.cpython-310.pyc,, +torch/utils/hipify/constants.py,sha256=XMPSjLLynzylQ_lW3jylmkB2fGUthI3kQqwKJWGSKBk,1200 +torch/utils/hipify/cuda_to_hip_mappings.py,sha256=qxHFvcQSnXXGA4SDS0knHVvzkReP77JeTqv8BFJQwgc,342421 +torch/utils/hipify/hipify_python.py,sha256=DmplSFrS8sls0l60zoNuYlrkbfdJRppUcVKzTJpRhdM,45307 +torch/utils/hipify/version.py,sha256=RsZjRjMprNcDm97wqRRSk6rTLgTX8N0GyicZyZ8OsBQ,22 +torch/utils/hooks.py,sha256=nWic5UvIJTaugoptfg7LVXayedOpGnCh44ocEV_VKAM,9387 +torch/utils/jit/__init__.py,sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs,1 +torch/utils/jit/__pycache__/__init__.cpython-310.pyc,, +torch/utils/jit/__pycache__/log_extract.cpython-310.pyc,, +torch/utils/jit/log_extract.py,sha256=AETiMJTS46P_lyJkCfOedUenL7szMSnvDs4WO0J4neU,3754 +torch/utils/mkldnn.py,sha256=gCJk0WZWhuoVp8RCqVw486WbCrswGrs9yFgu47uaeqg,7884 +torch/utils/mobile_optimizer.py,sha256=f17PC3YKkq7I4xOTHvoBCxX_8TgTEVALvEIkrB7AAgI,6423 +torch/utils/model_dump/__init__.py,sha256=vP9n6AkIP2LAlPBmc_3OiZk-AT4jX6Uljh_d8G7lliw,16754 +torch/utils/model_dump/__main__.py,sha256=jYGPuoI11jzWgGKtK1-E550XLfPkrbHq_BRUbLusK-A,79 +torch/utils/model_dump/__pycache__/__init__.cpython-310.pyc,, +torch/utils/model_dump/__pycache__/__main__.cpython-310.pyc,, +torch/utils/model_dump/code.js,sha256=70w_JAT7N8dkWHrpQsA1enZCJK7VJOIy23ukbbbXQAg,19251 +torch/utils/model_dump/htm.mjs,sha256=m-psDFjVL3_BzcZnYkiRT8AIYhFhCY5ERrh_LP4sEH4,1230 +torch/utils/model_dump/preact.mjs,sha256=005yDhrtmGbeMNCyf7SMhNktZT4VisnDde1R-TMD5gk,10078 +torch/utils/model_dump/skeleton.html,sha256=vq4r1yFKZEchXwQmky1zpj3q65MCPDBD7wDt6SqzJGg,384 +torch/utils/model_zoo.py,sha256=o2NC-XaU8fqDXbUBQDv7thQBld_LOK-Ko63GS4x8Iyg,117 +torch/utils/show_pickle.py,sha256=KfoAGvYjukNkB6MHscKvx3gjO-Ry2EPKxepvn3_cTnk,5334 +torch/utils/tensorboard/__init__.py,sha256=9NIYMYOGpyaLBWDL3a1sp44BdncOM2aYXYuZkNsnNJM,434 +torch/utils/tensorboard/__pycache__/__init__.cpython-310.pyc,, +torch/utils/tensorboard/__pycache__/_caffe2_graph.cpython-310.pyc,, +torch/utils/tensorboard/__pycache__/_convert_np.cpython-310.pyc,, +torch/utils/tensorboard/__pycache__/_embedding.cpython-310.pyc,, +torch/utils/tensorboard/__pycache__/_onnx_graph.cpython-310.pyc,, +torch/utils/tensorboard/__pycache__/_proto_graph.cpython-310.pyc,, +torch/utils/tensorboard/__pycache__/_pytorch_graph.cpython-310.pyc,, +torch/utils/tensorboard/__pycache__/_utils.cpython-310.pyc,, +torch/utils/tensorboard/__pycache__/summary.cpython-310.pyc,, +torch/utils/tensorboard/__pycache__/writer.cpython-310.pyc,, +torch/utils/tensorboard/_caffe2_graph.py,sha256=aQDRkYLJVoSJutLOYKu-27EIOMyaiJnEjOlIkMGas1Q,26528 +torch/utils/tensorboard/_convert_np.py,sha256=cl-zpOyDW4OjIuLseuihmcYy8Sibu0vp0wX_Lu4nnYY,865 +torch/utils/tensorboard/_embedding.py,sha256=9RfoK_QFL9hT0y8hDtGoR9avgUeglMSQBQ97EgBGcPc,3197 +torch/utils/tensorboard/_onnx_graph.py,sha256=mKqiUiaPzfD2lTkWmj6-6Owtw_vVMf-MBUPWrT2iLYQ,1943 +torch/utils/tensorboard/_proto_graph.py,sha256=L9ITCuIlruA_nLRoIInsrZB4hOHOIbFGWVR9O_M4rIE,1731 +torch/utils/tensorboard/_pytorch_graph.py,sha256=2-SAR55nWt5Zf8H7Gkh_VIWEGhnfb8qIGnqbRECDbDk,13852 +torch/utils/tensorboard/_utils.py,sha256=bB7a1K-YoFLxW-ZaC0zPz47r6_EAOLEMQRGSculCI98,4132 +torch/utils/tensorboard/summary.py,sha256=Os1AjgPitcqMPtNe9Cwe7YojudEZjgurAaGaZ4IKl-M,34450 +torch/utils/tensorboard/writer.py,sha256=r3Jon1JUgrPuhVqK5I_iAOY3cWmidDIX-SqlC_SoBkw,49337 +torch/utils/throughput_benchmark.py,sha256=PdbXMVXrAzDJCGDxBL1n2pS_RX9_JLYkspzA6-qGIks,6475 +torch/utils/viz/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torch/utils/viz/__pycache__/__init__.cpython-310.pyc,, +torch/utils/viz/__pycache__/_cycles.cpython-310.pyc,, +torch/utils/viz/_cycles.py,sha256=s2gDBShOB5pGrvdYXZaWNlnVAKkDmY_XbWUGKnaWry4,14677 +torch/utils/weak.py,sha256=v0Rjs8r3SKlQdcjOkUzYP3vkfDV1wlx9wObjv-2eTpk,9632 +torch/version.py,sha256=6Chs59P1edO6VgguyBWUHwpusFfJjxREUdqtMsJIj5E,248 +torchgen/__init__.py,sha256=iirTpG38WcCsNMhEbi1dg7_jad6ptk_uzZ-BzaGBFyU,348 +torchgen/__pycache__/__init__.cpython-310.pyc,, +torchgen/__pycache__/code_template.cpython-310.pyc,, +torchgen/__pycache__/context.cpython-310.pyc,, +torchgen/__pycache__/gen.cpython-310.pyc,, +torchgen/__pycache__/gen_backend_stubs.cpython-310.pyc,, +torchgen/__pycache__/gen_executorch.cpython-310.pyc,, +torchgen/__pycache__/gen_functionalization_type.cpython-310.pyc,, +torchgen/__pycache__/gen_lazy_tensor.cpython-310.pyc,, +torchgen/__pycache__/gen_vmap_plumbing.cpython-310.pyc,, +torchgen/__pycache__/local.cpython-310.pyc,, +torchgen/__pycache__/model.cpython-310.pyc,, +torchgen/__pycache__/native_function_generation.cpython-310.pyc,, +torchgen/__pycache__/utils.cpython-310.pyc,, +torchgen/__pycache__/yaml_utils.cpython-310.pyc,, +torchgen/api/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torchgen/api/__pycache__/__init__.cpython-310.pyc,, +torchgen/api/__pycache__/autograd.cpython-310.pyc,, +torchgen/api/__pycache__/cpp.cpython-310.pyc,, +torchgen/api/__pycache__/dispatcher.cpython-310.pyc,, +torchgen/api/__pycache__/functionalization.cpython-310.pyc,, +torchgen/api/__pycache__/lazy.cpython-310.pyc,, +torchgen/api/__pycache__/meta.cpython-310.pyc,, +torchgen/api/__pycache__/native.cpython-310.pyc,, +torchgen/api/__pycache__/python.cpython-310.pyc,, +torchgen/api/__pycache__/structured.cpython-310.pyc,, +torchgen/api/__pycache__/translate.cpython-310.pyc,, +torchgen/api/__pycache__/ufunc.cpython-310.pyc,, +torchgen/api/__pycache__/unboxing.cpython-310.pyc,, +torchgen/api/autograd.py,sha256=T7b5zOBBGf-CftiQMd_Q4ivOvOOZQY5-S7Xex3aMMbY,38402 +torchgen/api/cpp.py,sha256=c9lh76NlFisFN9nvNQEcdJEPcObPL-_6LWV2Ax8T2Z8,16456 +torchgen/api/dispatcher.py,sha256=dcD3zGsejoxnIo24j7ZluQlELwlYGN7xt-lhCu1sFf0,3365 +torchgen/api/functionalization.py,sha256=oyfoaMHilneuBV5dWcZZptqzZ9FuF9C01PiaWsp1pfc,6931 +torchgen/api/lazy.py,sha256=DVAiXqWNujlZPPhyrGZIA1LswyolEW6hq9W0nT5gHW0,17003 +torchgen/api/meta.py,sha256=Nn2a0cqNmu2EFJz6Lyyooty0W8TCHeibs21b5GBEXt4,482 +torchgen/api/native.py,sha256=iWsl_HVvZ0LZNF4r_P59ee-cc6Xezkn__UxKr0E0y90,5136 +torchgen/api/python.py,sha256=8EHmdpZG8b4g8gsPYc8o7h4KaR6L1jAb9BvVoIJWrrg,57203 +torchgen/api/structured.py,sha256=N8tdA4WPYPZOf1Og9h1R0tU-BrmWSsjIhXMvljYkhwU,6167 +torchgen/api/translate.py,sha256=g-BlAcl0ZSO9o1hR5_6_QgLn0m4sz-WVG9GZSsgEy0U,19174 +torchgen/api/types/__init__.py,sha256=a6PpYNAoVb4KtAclJR8Y8J4I1VcNZ1LIx_SAIdQ2hpk,87 +torchgen/api/types/__pycache__/__init__.cpython-310.pyc,, +torchgen/api/types/__pycache__/signatures.cpython-310.pyc,, +torchgen/api/types/__pycache__/types.cpython-310.pyc,, +torchgen/api/types/__pycache__/types_base.cpython-310.pyc,, +torchgen/api/types/signatures.py,sha256=p1ST8qTdWeLM2U-osXBmJ6tS-Dg5t07vVIZoH21uJqg,15713 +torchgen/api/types/types.py,sha256=n9bGkaIDAEm_dwqREdAfhOWlnUz7diAvyQe42qJP-p0,6520 +torchgen/api/types/types_base.py,sha256=4FEbQm61mLe3vfjrsO-KNnPjHWNy5fzYQiuoZTrgpRw,8949 +torchgen/api/ufunc.py,sha256=9CBk5dFzYj4xN9idf4zvkpIEav8vNdPIEhPv0wr7IYA,6698 +torchgen/api/unboxing.py,sha256=mS6g3e2Y6ZDfzhhr8y19qgsWGyCgGWd90llgLuatqqM,9460 +torchgen/code_template.py,sha256=z3N3FvXHfvO2aLIu2LoFqe7XGpzbFfzXEyzhGez2KME,2903 +torchgen/context.py,sha256=798e45g0zoR69Xn_4HjTuBRXbuNnyyK-j5_vWOnrs_s,3974 +torchgen/dest/__init__.py,sha256=5tJcjfIVpy5jHVFjkP4L33-zainx1zo2A-IXOt2W5uE,753 +torchgen/dest/__pycache__/__init__.cpython-310.pyc,, +torchgen/dest/__pycache__/lazy_ir.cpython-310.pyc,, +torchgen/dest/__pycache__/lazy_ts_lowering.cpython-310.pyc,, +torchgen/dest/__pycache__/native_functions.cpython-310.pyc,, +torchgen/dest/__pycache__/register_dispatch_key.cpython-310.pyc,, +torchgen/dest/__pycache__/ufunc.cpython-310.pyc,, +torchgen/dest/lazy_ir.py,sha256=nDEzH6CG9-oPkK9zjJeVMF7ElIuhBfsflX-P-rP18j4,29111 +torchgen/dest/lazy_ts_lowering.py,sha256=9QUvL_Z-mGqRfhtK_X2RSEHlGmFOqDr_J8cYJrALUG4,1831 +torchgen/dest/native_functions.py,sha256=A1ouzHcvvEPGQbD6Lc7NFH8ORNYaiNTyL8DRegxctA0,2328 +torchgen/dest/register_dispatch_key.py,sha256=P-OKlsJpkd5gXIxJTL3D_Br2R9inr9RnIHABRGGfCsg,40169 +torchgen/dest/ufunc.py,sha256=GbRnCx5N4J82M3-pJsLPGKuqRIpoZRRpJfQOvwcvGWM,17800 +torchgen/executorch/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torchgen/executorch/__pycache__/__init__.cpython-310.pyc,, +torchgen/executorch/__pycache__/model.cpython-310.pyc,, +torchgen/executorch/__pycache__/parse.cpython-310.pyc,, +torchgen/executorch/api/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torchgen/executorch/api/__pycache__/__init__.cpython-310.pyc,, +torchgen/executorch/api/__pycache__/custom_ops.cpython-310.pyc,, +torchgen/executorch/api/__pycache__/et_cpp.cpython-310.pyc,, +torchgen/executorch/api/__pycache__/unboxing.cpython-310.pyc,, +torchgen/executorch/api/custom_ops.py,sha256=mLdMZSE6eo9BX6-LaYP7cAv8G-37cNLmkmrthyBjSg4,4846 +torchgen/executorch/api/et_cpp.py,sha256=STArjOc3MTSAvAQU1wrITCupiyLv7bS35GLK6UNROaQ,12961 +torchgen/executorch/api/types/__init__.py,sha256=-4pCMsRpHwq2I5yJ-yM4NDXF7wFJ4XJILXRTl8uFxnQ,61 +torchgen/executorch/api/types/__pycache__/__init__.cpython-310.pyc,, +torchgen/executorch/api/types/__pycache__/signatures.cpython-310.pyc,, +torchgen/executorch/api/types/__pycache__/types.cpython-310.pyc,, +torchgen/executorch/api/types/signatures.py,sha256=hpvEEpH5Mn4N3I8o_49429iKtOcwfnxTuq62iFKjuFY,2490 +torchgen/executorch/api/types/types.py,sha256=83ml9nH_8gXjWNxM-XPg_4T59Nc8agIC2tQPsBn6czk,2432 +torchgen/executorch/api/unboxing.py,sha256=WpEP-0ivtnsaoOMHQXSZAm5w7Ji3gJo8obBOHLSsltY,7764 +torchgen/executorch/model.py,sha256=Vs7K0kluYO64I1pas_O8Z-BIxyN8dJ_8sZJpZdjzUPc,7710 +torchgen/executorch/parse.py,sha256=FiAuXT3T2xlKOajjQQ65RZMIzurR5bqLP2FFZ_XxeoA,5423 +torchgen/gen.py,sha256=twE_muwijfS2yVU0rv5OB8-9lkjOTkmwSNS_Jitl86A,108668 +torchgen/gen_backend_stubs.py,sha256=iM2aW5KPY4EIm5bmIJoeVEUYHfsiYB5mePVVKIe-pnU,22374 +torchgen/gen_executorch.py,sha256=qwYijTd-3A7RLZF1-vARaKbjykHCPQdI2jVFlp3JsLY,35611 +torchgen/gen_functionalization_type.py,sha256=olYS5kcIWgHpxVLd2Ug3v18PvGzDvJXNWDGoX7SBXs8,34586 +torchgen/gen_lazy_tensor.py,sha256=6jSRjolxW3Cm6mCXPRfYY1aNzPNU1JbFvucpo1ZdQ-M,23236 +torchgen/gen_vmap_plumbing.py,sha256=BY5rJybZTgodlH744u1rSz6gO7IRnsuwloO6Hxt35J8,9188 +torchgen/local.py,sha256=4-uRxPk3ik_9v_Uf15J02g8DR5RUkqLr6jjMrdELYeA,2091 +torchgen/model.py,sha256=YyhbPSlqN1d2J69JiwWZ-i2Mk7yO3stYkHOetVtI4fE,110304 +torchgen/native_function_generation.py,sha256=KNFP2NMwzF7HQ8bV9mBw67aGjbhW9b4kUv2UvrkNftk,29197 +torchgen/operator_versions/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torchgen/operator_versions/__pycache__/__init__.cpython-310.pyc,, +torchgen/operator_versions/__pycache__/gen_mobile_upgraders.cpython-310.pyc,, +torchgen/operator_versions/__pycache__/gen_mobile_upgraders_constant.cpython-310.pyc,, +torchgen/operator_versions/gen_mobile_upgraders.py,sha256=S_UmAjn2NjYItggyO0JDUvaKj7OYkpKHGZCLUEiYFSY,12660 +torchgen/operator_versions/gen_mobile_upgraders_constant.py,sha256=C-U6rHQybm_FTcxsz27RMgJDj464NOLhlOzVjSjEn0w,243 +torchgen/packaged/ATen/native/native_functions.yaml,sha256=Y1oCMGiywsg3B6-Mx1y6NrRzIdV7uR7sePwtmqctNeg,574763 +torchgen/packaged/ATen/native/tags.yaml,sha256=qfO5GPMicZba2OSJkoZw8Gs_aTbDgB2D3Ev6fpObFic,3101 +torchgen/packaged/ATen/templates/ATenOpList.cpp,sha256=YobnhIm91ECCc6uYD2uDOrvFM4WqutKQbQ5x_Fh_5IE,1059 +torchgen/packaged/ATen/templates/CompositeViewCopyKernels.cpp,sha256=H64AHoCBB7MJIECAHNzki8NiTVPND0hy2vJ-KqiSF2c,2077 +torchgen/packaged/ATen/templates/DispatchKeyFunction.h,sha256=npUU8WpU76sZv8oqUQqBpcV_QHT6RW9j42EVTSA6pvA,702 +torchgen/packaged/ATen/templates/DispatchKeyFunctions.h,sha256=iBAyyG_T0y--B0hMJy5Ly0mnUhWLzD8GLJLT5YpDBDQ,1932 +torchgen/packaged/ATen/templates/DispatchKeyFunctions_inl.h,sha256=nlAU0xWHQqRZn7JNV163YgAv5wwlykwsikMyjzZeZkI,824 +torchgen/packaged/ATen/templates/DispatchKeyNativeFunctions.cpp,sha256=DYjxJmYQ5Yegq1XW4hakqjvZo5skNWi2f5ZNLPUyQ4c,184 +torchgen/packaged/ATen/templates/DispatchKeyNativeFunctions.h,sha256=e8lUNJZ4jt0uMHjio6HOupVpMv83DtAaFBudAG6pEDw,384 +torchgen/packaged/ATen/templates/Function.h,sha256=QSbPrsdWGgcW5Wl4a_KSIyHqQEH-3T7h2RM2Q5IQ3dA,507 +torchgen/packaged/ATen/templates/FunctionalInverses.h,sha256=p0tKqhyqY7Lma1UyWcSDAD5I0lh2qukPyjaxfsMiW-s,177 +torchgen/packaged/ATen/templates/Functions.cpp,sha256=jH84tc_E_JlIu1ij74vpUqmbYfRTiqz-EPN5ZV-CO_0,3010 +torchgen/packaged/ATen/templates/Functions.h,sha256=ORykJWXUsHoaADA5aV4-IOgBTWn7UdIplNBX_1d6ON0,4688 +torchgen/packaged/ATen/templates/LazyIr.h,sha256=mFY0bv2tEUtDp0ypCelVq_RgtbgUA_HW7mikUq6a0-8,575 +torchgen/packaged/ATen/templates/LazyNonNativeIr.h,sha256=KQbjyZ0Q8qK8JcgqAaF-M-ZhvRE5UhTj8JIHyceNK9Y,178 +torchgen/packaged/ATen/templates/MethodOperators.h,sha256=ifirYleNPll8bjo_OYaC8jEuLWIJlP0Asy0xjtdGfQo,830 +torchgen/packaged/ATen/templates/NativeFunction.h,sha256=aC1du7h-uGx3GzxW9GbtCYfL4Rt0bVbG-Ep_wVMgvpo,377 +torchgen/packaged/ATen/templates/NativeFunctions.h,sha256=Cgf_eYRzaczDydEIGxh35wfBBZAF4X6fJt-CFUhTmwM,1160 +torchgen/packaged/ATen/templates/NativeMetaFunction.h,sha256=aUwcQS2n2k_RV0L2CbMY1PWTVzMghD38-PH406UdNq4,463 +torchgen/packaged/ATen/templates/NativeMetaFunctions.h,sha256=mIOwmpkQY9zYolxUXK39c4nRDyG32vBsqEeSDo76p_k,306 +torchgen/packaged/ATen/templates/Operator.h,sha256=ymuBaaHDKS1QZ-7yiHOUmjX-eyCxsjD1v6_ZUGKvz8o,425 +torchgen/packaged/ATen/templates/Operators.cpp,sha256=cjfjkIMtfc8n1w0TDy_JJDJq0DK2cT9DfhkZw3YnTWM,347 +torchgen/packaged/ATen/templates/Operators.h,sha256=oU939CI59Drfg2QlKfkCdU6yVQBVi0y9Ia_kQ0rFC5k,3200 +torchgen/packaged/ATen/templates/RedispatchFunctions.cpp,sha256=pNhfp3gMBw4km2c_4EfeF6ge3DGZi8xtGCnkmjzfpi0,307 +torchgen/packaged/ATen/templates/RedispatchFunctions.h,sha256=RMRWieLHLURueB27BhW7UQty4ZC2MDfzdqskH6OCTTI,893 +torchgen/packaged/ATen/templates/RegisterBackendSelect.cpp,sha256=CbER4E6ck_Csz3WrmSE87QwrlY0rw6gx8A9vOHRx3ek,1998 +torchgen/packaged/ATen/templates/RegisterCodegenUnboxedKernels.cpp,sha256=tux2wSt9RalK0o5AfliXJB3N4diTi-88PwNHOobDbmM,1119 +torchgen/packaged/ATen/templates/RegisterDispatchDefinitions.ini,sha256=E8PNfTGFdvYUkk6YN0K-cfXRf61KazOov2ogDWmDFDU,476 +torchgen/packaged/ATen/templates/RegisterDispatchKey.cpp,sha256=ka3DGWd5YkeXGzxmp7V7568JwLBPnjnBBf82e0Frv_w,1645 +torchgen/packaged/ATen/templates/RegisterFunctionalization.cpp,sha256=V_lIk32IiiFba3dcU7pSBCMuhY4_QzH8s9zytcXt7QY,3325 +torchgen/packaged/ATen/templates/RegisterSchema.cpp,sha256=HoLTDNwRhe8xJJucgd6qCkqTglPtxLYCRGCD_4-S0j0,383 +torchgen/packaged/ATen/templates/RegistrationDeclarations.h,sha256=KImic_ILyhxavbGxVna-Ascf--okibalZJlK44a5dic,160 +torchgen/packaged/ATen/templates/TensorBody.h,sha256=T01-wAKp1R_onZWJ7_ouLIQ0L1dDLZtmLPQJATDU25A,29146 +torchgen/packaged/ATen/templates/TensorMethods.cpp,sha256=TBsfcU8ZmtUwl5QcrYNjiHsBvhRagMbH-X-qnz6PjLA,2092 +torchgen/packaged/ATen/templates/UfuncCPU.cpp,sha256=LrnISndBkXtdugvOWeRk9ZGYQlztFI5yqytoaZiKOQk,445 +torchgen/packaged/ATen/templates/UfuncCPUKernel.cpp,sha256=paz66F7U6E9e2X-rpbxlVDGcxevcXIOialaEqAaoArc,350 +torchgen/packaged/ATen/templates/UfuncCUDA.cu,sha256=HOBz8yO4QFxxmX_6gCF7L8MJvrGPwGQjoE-qDf8kF9Y,494 +torchgen/packaged/ATen/templates/UnboxingFunctions.cpp,sha256=wwdlYUaaCjXwhlaoqieeO-3fOqoQSBj62j6Is4n-UKY,709 +torchgen/packaged/ATen/templates/UnboxingFunctions.h,sha256=bcs4ET0LLtzs7nSSWhKA8jJzongib5CGlNA5yaExfKw,1026 +torchgen/packaged/ATen/templates/aten_interned_strings.h,sha256=_FM2jXAhATj9GZ66dXXUPx72q2uYnzT8iN4hkTz0rmI,805 +torchgen/packaged/ATen/templates/enum_tag.h,sha256=w3hCov4CToJ5qyHrnadei9907AIZkDLALSOlOZ1gP2Q,179 +torchgen/packaged/autograd/BUILD.bazel,sha256=Jd76gG6LQlmmEKK9IYlDbkVSmc8L5bTvGjG159L3rJA,104 +torchgen/packaged/autograd/README.md,sha256=hGiUzBaCs0wzBhEXB3vkWUXU4Lima6y5_wPKjAoKQ-Q,147 +torchgen/packaged/autograd/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torchgen/packaged/autograd/__pycache__/__init__.cpython-310.pyc,, +torchgen/packaged/autograd/__pycache__/context.cpython-310.pyc,, +torchgen/packaged/autograd/__pycache__/gen_annotated_fn_args.cpython-310.pyc,, +torchgen/packaged/autograd/__pycache__/gen_autograd.cpython-310.pyc,, +torchgen/packaged/autograd/__pycache__/gen_autograd_functions.cpython-310.pyc,, +torchgen/packaged/autograd/__pycache__/gen_inplace_or_view_type.cpython-310.pyc,, +torchgen/packaged/autograd/__pycache__/gen_python_functions.cpython-310.pyc,, +torchgen/packaged/autograd/__pycache__/gen_trace_type.cpython-310.pyc,, +torchgen/packaged/autograd/__pycache__/gen_variable_factories.cpython-310.pyc,, +torchgen/packaged/autograd/__pycache__/gen_variable_type.cpython-310.pyc,, +torchgen/packaged/autograd/__pycache__/load_derivatives.cpython-310.pyc,, +torchgen/packaged/autograd/build.bzl,sha256=P4Ox76V35gWtKl8p08d-av4YEb10BC5Lcr5qHiqK7uE,348 +torchgen/packaged/autograd/context.py,sha256=zGoFTCXNnWbHWdkLRKYxIv2Xg41lEv7evO8WIvg1LKI,943 +torchgen/packaged/autograd/deprecated.yaml,sha256=UbtajzWo89jf1Q5sw8JNJIZT5s-iDBagnrGJthtDS2Q,6250 +torchgen/packaged/autograd/derivatives.yaml,sha256=FwngG3NpEK5_cPEmg2AhQ5GKhHzNnM0BHd0n1-kD0aQ,172225 +torchgen/packaged/autograd/gen_annotated_fn_args.py,sha256=cTpcqGEj2xBDorwmLCVHmdY-19340lLzHONvmFEmVes,4383 +torchgen/packaged/autograd/gen_autograd.py,sha256=y536kOWBK7lbQB9i5hc4CXPp8To86Lo9vqb4I5seaAc,4468 +torchgen/packaged/autograd/gen_autograd_functions.py,sha256=nZ2LzzDov9tMrNJU2Kt4rUFhZz3nnAhwGyuXsqYmB94,32091 +torchgen/packaged/autograd/gen_inplace_or_view_type.py,sha256=U8vtbkjn0QMzM2Md-A27Rrr0xq3iEL9211PBpLbYPlA,21041 +torchgen/packaged/autograd/gen_python_functions.py,sha256=gBZfCETMewtuiw1m-rAHeAwnMoH4FDQseYsfWkAGNUo,45303 +torchgen/packaged/autograd/gen_trace_type.py,sha256=l_8PTm3MPzmddxAOjME3DuD-B5J6FoyfsqTG5DpkCnE,19391 +torchgen/packaged/autograd/gen_variable_factories.py,sha256=vY-OLC3hBEZpi5poZawF5osX7xu3t7OiqATWnI2CCK8,4478 +torchgen/packaged/autograd/gen_variable_type.py,sha256=gIPTTBMBRs8TWpCWjJQ1-e31XgkMSXZPHynbTKSk_NU,83459 +torchgen/packaged/autograd/load_derivatives.py,sha256=0tAzNqPE8KTl8xUHkphI49H6XWLDH95O4pAk8ReYdHc,40337 +torchgen/packaged/autograd/templates/ADInplaceOrViewType.cpp,sha256=YA7Q9KQgChG1F5o5-AjQtEo2m-qSulbYcemmlFCwMVU,658 +torchgen/packaged/autograd/templates/Functions.cpp,sha256=T2Mf85iPLHVAs3-Qen3YQ5f6-rSLQPEa9fvxn5wWujs,623 +torchgen/packaged/autograd/templates/Functions.h,sha256=T3ZfumgZc_bVfqLSg1WfqN6pZJm2Laskcl3EY8jx3jA,1575 +torchgen/packaged/autograd/templates/TraceType.cpp,sha256=aqACTyrT05ElIiBLJYkfSgxNjwhum6_QUPDAtXwoKqo,695 +torchgen/packaged/autograd/templates/VariableType.cpp,sha256=40JaiDOkY_86ndvGzap_UWqNg-b_XQQxPqXnsKSMhzc,1859 +torchgen/packaged/autograd/templates/VariableType.h,sha256=LQLsgTZPyQqIzaLBhJxZy7REsqYttyYbahs5JHN7Mic,1613 +torchgen/packaged/autograd/templates/annotated_fn_args.py.in,sha256=gRgF9BZmylhyfXrVSAVjg9Y4TUYpq1FgYVd3_hk_9no,199 +torchgen/packaged/autograd/templates/python_enum_tag.cpp,sha256=2cTLq6vaU-qjAXLrChZAnCmpVqA4oDvZLOsBY3GWmDA,495 +torchgen/packaged/autograd/templates/python_fft_functions.cpp,sha256=BGcFrAoqFPyZvcAH3Vs8eio3KbX4Z24d3fY-l2a8kFY,1949 +torchgen/packaged/autograd/templates/python_functions.cpp,sha256=b20LJcBbbQHQ4hTt-2h__DIuk8uHksD4ZVD5csfM43Q,1121 +torchgen/packaged/autograd/templates/python_functions.h,sha256=WX52FzntisoprdObQvGXrzMhehgWZ2rIfnHzgNpX-5U,345 +torchgen/packaged/autograd/templates/python_linalg_functions.cpp,sha256=3NyK1tMOYwAsnxyb1k04RPiN9MQkriblY3GnPVOrfSY,1614 +torchgen/packaged/autograd/templates/python_nested_functions.cpp,sha256=2N53BxgGjTRQx7jQOYigoQYqn6dq-J7rIoREvogjzZE,2027 +torchgen/packaged/autograd/templates/python_nn_functions.cpp,sha256=DmCDpzr-eJg35kRP6V_FCO1cuSju11KAX9dYlh9ehV8,3500 +torchgen/packaged/autograd/templates/python_return_types.cpp,sha256=GB75OiT-5X3rmgXZlc30MB67qMlvqkzhrDIfIj1mZp4,1219 +torchgen/packaged/autograd/templates/python_return_types.h,sha256=ZDLPH-bxSjCpeyWLhU6kZsuAxa2pnCgTE57YpxXmDmQ,198 +torchgen/packaged/autograd/templates/python_sparse_functions.cpp,sha256=NW_L2mF7ZrR2FvXtDE7iNfw0BM-wTyUzBa_C1B5RZ7A,1551 +torchgen/packaged/autograd/templates/python_special_functions.cpp,sha256=LOHhDqeGD0nYY0UN_9I4Ki1gFE7oUM659hr6zGbkDGY,1970 +torchgen/packaged/autograd/templates/python_torch_functions.cpp,sha256=smQ5YO7FfPFsocKUF5hp_ZD0pJRAGPRuTBhL6oOxKPg,2599 +torchgen/packaged/autograd/templates/python_variable_methods.cpp,sha256=u_QAU4kP6j6_VkSzNEVPD7_SOO2sQziF12iZ8zH1u0A,51172 +torchgen/packaged/autograd/templates/variable_factories.h,sha256=doAqR5o4vMmLvF6MpXwt-g-4018fGN_ZvjdPY4AOOyc,5627 +torchgen/selective_build/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torchgen/selective_build/__pycache__/__init__.cpython-310.pyc,, +torchgen/selective_build/__pycache__/operator.cpython-310.pyc,, +torchgen/selective_build/__pycache__/selector.cpython-310.pyc,, +torchgen/selective_build/operator.py,sha256=kutwN9yc2Bt7k7h7GV1ts8C1qORjeU-J5zAJW84ASJ8,6507 +torchgen/selective_build/selector.py,sha256=KYfNNS9dWTyygrfDLOEuEAQn3f-Gn2f9wwVxibj5VUM,12606 +torchgen/static_runtime/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +torchgen/static_runtime/__pycache__/__init__.cpython-310.pyc,, +torchgen/static_runtime/__pycache__/config.cpython-310.pyc,, +torchgen/static_runtime/__pycache__/gen_static_runtime_ops.cpython-310.pyc,, +torchgen/static_runtime/__pycache__/generator.cpython-310.pyc,, +torchgen/static_runtime/config.py,sha256=fEMB4EdO8aX47aW13s-nVSy-yM5qIzfXrOYaQkmv3-A,14493 +torchgen/static_runtime/gen_static_runtime_ops.py,sha256=Esr32XW78YkLpGAGhIw6ZsxmkwgI_Pd3j0rh585ijow,7347 +torchgen/static_runtime/generator.py,sha256=Sfe8TR6inZv-FHhJAG6gXBFXutPVMO8I4Uzw3xnGdd4,26374 +torchgen/utils.py,sha256=_0eEd0TevyZQeWP7H-v8yTS0ePOGPib_YDZMpyyatcc,15900 +torchgen/yaml_utils.py,sha256=Xhwu0FkP6tsRKYQi34JG9BfgHclejg_FhI8mAzzD5DM,1080 diff --git a/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/WHEEL b/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..d77a3981e5ea20c488afb479f81f1868349f78c3 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/WHEEL @@ -0,0 +1,5 @@ +Wheel-Version: 1.0 +Generator: bdist_wheel (0.34.2) +Root-Is-Purelib: false +Tag: cp310-cp310-linux_x86_64 + diff --git a/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/entry_points.txt b/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/entry_points.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a9428a4984ef55b657e9a5b763fd2bc6d38fa60 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/entry_points.txt @@ -0,0 +1,5 @@ +[console_scripts] +convert-caffe2-to-onnx = caffe2.python.onnx.bin.conversion:caffe2_to_onnx +convert-onnx-to-caffe2 = caffe2.python.onnx.bin.conversion:onnx_to_caffe2 +torchrun = torch.distributed.run:main + diff --git a/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/top_level.txt b/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..90d81bec1d35eb3996334268974885a5398b6c6c --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/torch-2.2.2.dist-info/top_level.txt @@ -0,0 +1,3 @@ +functorch +torch +torchgen diff --git a/env-llmeval/lib/python3.10/site-packages/typepy-1.3.2.dist-info/INSTALLER b/env-llmeval/lib/python3.10/site-packages/typepy-1.3.2.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/typepy-1.3.2.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/env-llmeval/lib/python3.10/site-packages/typepy-1.3.2.dist-info/RECORD b/env-llmeval/lib/python3.10/site-packages/typepy-1.3.2.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..1c817ea2f7d30d515237e02a6c044b4b8cfdf439 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/typepy-1.3.2.dist-info/RECORD @@ -0,0 +1,107 @@ +typepy-1.3.2.dist-info/INSTALLER,sha256=zuuue4knoyJ-UwPPXg8fezS7VCrXJQrAP7zeNuwvFQg,4 +typepy-1.3.2.dist-info/LICENSE,sha256=vrvfBSShR_iaYV__U9eb3JDLx2MVUPtLclzT873NJPY,1074 +typepy-1.3.2.dist-info/METADATA,sha256=cGfwlvtjr-CbCpbIGheSP46P82OT7ki6Gof2jZEdhKo,9309 +typepy-1.3.2.dist-info/RECORD,, +typepy-1.3.2.dist-info/WHEEL,sha256=yQN5g4mg4AybRjkgi-9yy4iQEFibGQmlz78Pik5Or-A,92 +typepy-1.3.2.dist-info/top_level.txt,sha256=JS3pVzz8HrmCDbSyNrOs7vCirWUXl5es6HfIxEtbP2M,7 +typepy/__init__.py,sha256=dbTD5m3Nf_tMD4lWG7FAxqdUMC0dZgtgale52Oe57f0,1129 +typepy/__pycache__/__init__.cpython-310.pyc,, +typepy/__pycache__/__version__.cpython-310.pyc,, +typepy/__pycache__/_common.cpython-310.pyc,, +typepy/__pycache__/_const.cpython-310.pyc,, +typepy/__pycache__/_function.cpython-310.pyc,, +typepy/__pycache__/_typecode.cpython-310.pyc,, +typepy/__pycache__/error.cpython-310.pyc,, +typepy/__version__.py,sha256=bZfSgZ3naje3Nx6ysBkhI-QAm434QZYGFu90lJBPKUI,201 +typepy/_common.py,sha256=NV8Cr2hVr4zs7kkU2pZjPOXON8YQgn8JJptYh9j-JR0,401 +typepy/_const.py,sha256=CPuhx_t7xV5QdCJ6UKGvglDmZBoJIEIt5kSFV7pxGUo,312 +typepy/_function.py,sha256=MsE-BOyhhSPkupgDFPMRlz2YQB9pF0c-fnxhYDROglo,1096 +typepy/_typecode.py,sha256=Oi_zWK5ULiyCjmjb1Urtb3bm-J2LYqyX2TqiCmizuPs,397 +typepy/checker/__init__.py,sha256=Aj1kUaY7OQZd61SW_sktpim10dFkkPD5v8CkQ4mqEe4,1000 +typepy/checker/__pycache__/__init__.cpython-310.pyc,, +typepy/checker/__pycache__/_bool.cpython-310.pyc,, +typepy/checker/__pycache__/_bytes.cpython-310.pyc,, +typepy/checker/__pycache__/_checker.cpython-310.pyc,, +typepy/checker/__pycache__/_common.cpython-310.pyc,, +typepy/checker/__pycache__/_datetime.cpython-310.pyc,, +typepy/checker/__pycache__/_dictionary.cpython-310.pyc,, +typepy/checker/__pycache__/_infinity.cpython-310.pyc,, +typepy/checker/__pycache__/_integer.cpython-310.pyc,, +typepy/checker/__pycache__/_interface.cpython-310.pyc,, +typepy/checker/__pycache__/_ipaddress.cpython-310.pyc,, +typepy/checker/__pycache__/_list.cpython-310.pyc,, +typepy/checker/__pycache__/_nan.cpython-310.pyc,, +typepy/checker/__pycache__/_none.cpython-310.pyc,, +typepy/checker/__pycache__/_realnumber.cpython-310.pyc,, +typepy/checker/__pycache__/_string.cpython-310.pyc,, +typepy/checker/_bool.py,sha256=O6EITPb7OsdZOApFcdRMJADFV0N59D3ulsJkAPFzW9o,1198 +typepy/checker/_bytes.py,sha256=mYmu2ksd0h9qoBsO3SaVm9ple8edQOpV6s3RErjHscA,646 +typepy/checker/_checker.py,sha256=TxeIAXVIBXukmd1881PeXGNW7ZNapsPA9vS53wwVKck,2485 +typepy/checker/_common.py,sha256=PpinqXPbViDkTZ-HSXqemU01EeeSvaoUDuCwndPGbRc,539 +typepy/checker/_datetime.py,sha256=TffEQDoClczSF6P4o29yMbzLl-yzIAIccWXplBybFtY,1159 +typepy/checker/_dictionary.py,sha256=qXhH9plLosj967PEGCTgZvRbHZoreomnPQV6SCu1GC8,885 +typepy/checker/_infinity.py,sha256=CRgTptMZLRHzPjp93ZtgHpYM3WpV-D4p7aLt1ZyttNM,916 +typepy/checker/_integer.py,sha256=eBzHsd4xWprtzaHJglRvET_Dhi0KqrstlWyT5eCKJ88,2002 +typepy/checker/_interface.py,sha256=IiMShH1pAWhl_6JlUxtb10ofao2sUspUlGxDC1nnZps,315 +typepy/checker/_ipaddress.py,sha256=hqPXXD50x-ndLKj-DPjfLCZscN1CXawMTvOodSc1bsc,1070 +typepy/checker/_list.py,sha256=iGkycr08dVONSkerYl51WfYyidlzI3JfN5LJ_zwKU5U,985 +typepy/checker/_nan.py,sha256=SBTyHoTKtQO-wIMZ5lW-y88CGk5MLIoteig29lIQQtc,826 +typepy/checker/_none.py,sha256=xM_PEJQx1WpPUYAN6Bwgl-_IqAmhrV1oie8XIbm_C5Y,617 +typepy/checker/_realnumber.py,sha256=jtA-rv19NUBRjwAS7owNbXehJLB10dS2RCt8sLbIv5Y,1905 +typepy/checker/_string.py,sha256=Wyte6y2c2RYDCvi9BF5exzFXGscgtBrDPY3K5rhrzYs,2055 +typepy/converter/__init__.py,sha256=aN7I5tHOx93voqOeakOoad6JF07mdAKnEk0kknduo3Q,824 +typepy/converter/__pycache__/__init__.cpython-310.pyc,, +typepy/converter/__pycache__/_bool.cpython-310.pyc,, +typepy/converter/__pycache__/_bytes.cpython-310.pyc,, +typepy/converter/__pycache__/_datetime.cpython-310.pyc,, +typepy/converter/__pycache__/_dictionary.cpython-310.pyc,, +typepy/converter/__pycache__/_integer.cpython-310.pyc,, +typepy/converter/__pycache__/_interface.cpython-310.pyc,, +typepy/converter/__pycache__/_ipaddress.cpython-310.pyc,, +typepy/converter/__pycache__/_list.cpython-310.pyc,, +typepy/converter/__pycache__/_nop.cpython-310.pyc,, +typepy/converter/__pycache__/_realnumber.cpython-310.pyc,, +typepy/converter/__pycache__/_string.cpython-310.pyc,, +typepy/converter/_bool.py,sha256=ROvCowqO6nBk_Ywxcc6SUIvDVcO9acWUfsZ1fCo4Dig,1306 +typepy/converter/_bytes.py,sha256=L8e4DJ3qVqLkc2g9zlD2EMyJHYwBL4aB2EyH9w50-B4,291 +typepy/converter/_datetime.py,sha256=AaSsLhJtaNXB6TzaL98m2dpu61ZQBhbJ5MnF_sTiw5U,5382 +typepy/converter/_dictionary.py,sha256=v2ZCaSNq2U-QOgF86BTGfr9fcD0DM8UD2Oe0yFRGVAA,655 +typepy/converter/_integer.py,sha256=9ivAktrr4UQ2Yj4GVZ8Bij_Q11lqGpCxSiTU0VWtGQs,1015 +typepy/converter/_interface.py,sha256=TcqsYIsnbM3LX20k0vx7eCZnxk_Wyo6fnbBvlw4C5RY,661 +typepy/converter/_ipaddress.py,sha256=KrGcw-kn8oD0fnc3R6yaqrbgkXJWdr8XDAqFt6HJoog,843 +typepy/converter/_list.py,sha256=35ERzQ7mQXO0g5ax2Rvk93nC5FYVuAzNEQtAcZKp92E,426 +typepy/converter/_nop.py,sha256=DOkVEKioITGa_pPpgj14VClVj0ELLOjX0sgLN4nl-WI,222 +typepy/converter/_realnumber.py,sha256=7oPwNB8zWtDR6rB1JsRE4JD0CfXFGGGp-LCOmKlDPiw,1265 +typepy/converter/_string.py,sha256=Hj1G3tq0n6Jrbt3RCFAihbMlASm-QmQKgaWcsMxIbYw,498 +typepy/error.py,sha256=9tKHKExk8rOLQGtLfQQewBBaqnS39egkJYpiC7G1pWo,178 +typepy/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +typepy/type/__init__.py,sha256=BVyVbzsx2snaim_h-ibWpXELDkRxTqjLCE-xK5FliAg,743 +typepy/type/__pycache__/__init__.cpython-310.pyc,, +typepy/type/__pycache__/_base.cpython-310.pyc,, +typepy/type/__pycache__/_binary.cpython-310.pyc,, +typepy/type/__pycache__/_bool.cpython-310.pyc,, +typepy/type/__pycache__/_bytes.cpython-310.pyc,, +typepy/type/__pycache__/_datetime.cpython-310.pyc,, +typepy/type/__pycache__/_dictionary.cpython-310.pyc,, +typepy/type/__pycache__/_infinity.cpython-310.pyc,, +typepy/type/__pycache__/_integer.cpython-310.pyc,, +typepy/type/__pycache__/_ipaddress.cpython-310.pyc,, +typepy/type/__pycache__/_list.cpython-310.pyc,, +typepy/type/__pycache__/_nan.cpython-310.pyc,, +typepy/type/__pycache__/_none.cpython-310.pyc,, +typepy/type/__pycache__/_realnumber.cpython-310.pyc,, +typepy/type/__pycache__/_string.cpython-310.pyc,, +typepy/type/_base.py,sha256=v9Robzl8j7vFkJoqikzOK9Y31m7OF9QZwvx3hMFRxn4,3552 +typepy/type/_binary.py,sha256=1LV28p-B7q7KTqIWPd2ONPrQH8AmkGOV8imH_a95V_M,794 +typepy/type/_bool.py,sha256=QHYMUKTDTKEeXFilPqoVGFi9cz69qfqrSSPJhRQMGbM,844 +typepy/type/_bytes.py,sha256=i58k-iFWQUMTbp6fJ998KWKoEazvSWwly6LKmB2lD08,792 +typepy/type/_datetime.py,sha256=0hiq7E2DkfOzgQZY7TQ6y8B7edFCqQ7CUMZAOTkmXSI,835 +typepy/type/_dictionary.py,sha256=0UnNrzvsisNQxD6eCcCpNtwRLdXfxSDUgcA9M9geeJ0,849 +typepy/type/_infinity.py,sha256=8pnVfBwlKIEo35tbvSqiCOYsnDpZ1TA_F0tn3oDFAhQ,829 +typepy/type/_integer.py,sha256=HBgXgCfT7TtbHNigVK__-Lbaocb7CY29n6WzkWLbYjY,864 +typepy/type/_ipaddress.py,sha256=MroUImyV-POnQTvmpMpOGH7-PAwAFQz-HU5rjTV9A0c,843 +typepy/type/_list.py,sha256=_KBDpeKDdIEb3dLMJv8vkHjAY9awiKz7RoMQdnCMF6o,807 +typepy/type/_nan.py,sha256=9jbhUqOLXstqr8-FuBKikImEOk5C5RO0WtqpRbj27zU,804 +typepy/type/_none.py,sha256=VGIXkKgdONkcu2CXGPfgusoo-VL-xkEV3rKldPDAbac,859 +typepy/type/_realnumber.py,sha256=_dNKpzDr8FaImBbx84Yr2fsJNBicRE_1QdRu8NrzDq4,913 +typepy/type/_string.py,sha256=Dd0mOTQ_uxXQND-l-AFkzwNFK8EwGg_C-EyQw4TxOXg,1505 diff --git a/env-llmeval/lib/python3.10/site-packages/typepy-1.3.2.dist-info/WHEEL b/env-llmeval/lib/python3.10/site-packages/typepy-1.3.2.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..7e688737d490be3643d705bc16b5a77f7bd567b7 --- /dev/null +++ b/env-llmeval/lib/python3.10/site-packages/typepy-1.3.2.dist-info/WHEEL @@ -0,0 +1,5 @@ +Wheel-Version: 1.0 +Generator: bdist_wheel (0.41.2) +Root-Is-Purelib: true +Tag: py3-none-any +