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env-llmeval/lib/python3.10/site-packages/numpy/lib/tests/data/py2-objarr.npy

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+size 258

env-llmeval/lib/python3.10/site-packages/numpy/lib/tests/data/py2-objarr.npz

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+size 366

env-llmeval/lib/python3.10/site-packages/numpy/lib/tests/data/py3-objarr.npz

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+oid sha256:a90474812e7b7bdb5ad7a77fbc242369a28cef880f765c023e4a79e4ffaaaddc
+size 449

env-llmeval/lib/python3.10/site-packages/numpy/lib/tests/data/python3.npy

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5f469dde101a2c65e283d2ed487028f8180ebcb9457cf60c9d9b952314668fed
+size 96

env-llmeval/lib/python3.10/site-packages/numpy/random/_examples/cffi/extending.py

@@ -0,0 +1,40 @@
+"""
+Use cffi to access any of the underlying C functions from distributions.h
+"""
+import os
+import numpy as np
+import cffi
+from .parse import parse_distributions_h
+ffi = cffi.FFI()
+
+inc_dir = os.path.join(np.get_include(), 'numpy')
+
+# Basic numpy types
+ffi.cdef('''
+    typedef intptr_t npy_intp;
+    typedef unsigned char npy_bool;
+
+''')
+
+parse_distributions_h(ffi, inc_dir)
+
+lib = ffi.dlopen(np.random._generator.__file__)
+
+# Compare the distributions.h random_standard_normal_fill to
+# Generator.standard_random
+bit_gen = np.random.PCG64()
+rng = np.random.Generator(bit_gen)
+state = bit_gen.state
+
+interface = rng.bit_generator.cffi
+n = 100
+vals_cffi = ffi.new('double[%d]' % n)
+lib.random_standard_normal_fill(interface.bit_generator, n, vals_cffi)
+
+# reset the state
+bit_gen.state = state
+
+vals = rng.standard_normal(n)
+
+for i in range(n):
+    assert vals[i] == vals_cffi[i]

env-llmeval/lib/python3.10/site-packages/numpy/random/_examples/cffi/parse.py

@@ -0,0 +1,54 @@
+import os
+
+
+def parse_distributions_h(ffi, inc_dir):
+    """
+    Parse distributions.h located in inc_dir for CFFI, filling in the ffi.cdef
+
+    Read the function declarations without the "#define ..." macros that will
+    be filled in when loading the library.
+    """
+
+    with open(os.path.join(inc_dir, 'random', 'bitgen.h')) as fid:
+        s = []
+        for line in fid:
+            # massage the include file
+            if line.strip().startswith('#'):
+                continue
+            s.append(line)
+        ffi.cdef('\n'.join(s))
+
+    with open(os.path.join(inc_dir, 'random', 'distributions.h')) as fid:
+        s = []
+        in_skip = 0
+        ignoring = False
+        for line in fid:
+            # check for and remove extern "C" guards
+            if ignoring:
+                if line.strip().startswith('#endif'):
+                    ignoring = False
+                continue
+            if line.strip().startswith('#ifdef __cplusplus'):
+                ignoring = True
+            
+            # massage the include file
+            if line.strip().startswith('#'):
+                continue
+    
+            # skip any inlined function definition
+            # which starts with 'static inline xxx(...) {'
+            # and ends with a closing '}'
+            if line.strip().startswith('static inline'):
+                in_skip += line.count('{')
+                continue
+            elif in_skip > 0:
+                in_skip += line.count('{')
+                in_skip -= line.count('}')
+                continue
+    
+            # replace defines with their value or remove them
+            line = line.replace('DECLDIR', '')
+            line = line.replace('RAND_INT_TYPE', 'int64_t')
+            s.append(line)
+        ffi.cdef('\n'.join(s))
+

env-llmeval/lib/python3.10/site-packages/numpy/random/_examples/cython/extending.pyx

@@ -0,0 +1,78 @@
+#!/usr/bin/env python3
+#cython: language_level=3
+
+from libc.stdint cimport uint32_t
+from cpython.pycapsule cimport PyCapsule_IsValid, PyCapsule_GetPointer
+
+import numpy as np
+cimport numpy as np
+cimport cython
+
+from numpy.random cimport bitgen_t
+from numpy.random import PCG64
+
+np.import_array()
+
+
+@cython.boundscheck(False)
+@cython.wraparound(False)
+def uniform_mean(Py_ssize_t n):
+    cdef Py_ssize_t i
+    cdef bitgen_t *rng
+    cdef const char *capsule_name = "BitGenerator"
+    cdef double[::1] random_values
+    cdef np.ndarray randoms
+
+    x = PCG64()
+    capsule = x.capsule
+    if not PyCapsule_IsValid(capsule, capsule_name):
+        raise ValueError("Invalid pointer to anon_func_state")
+    rng = <bitgen_t *> PyCapsule_GetPointer(capsule, capsule_name)
+    random_values = np.empty(n)
+    # Best practice is to acquire the lock whenever generating random values.
+    # This prevents other threads from modifying the state. Acquiring the lock
+    # is only necessary if the GIL is also released, as in this example.
+    with x.lock, nogil:
+        for i in range(n):
+            random_values[i] = rng.next_double(rng.state)
+    randoms = np.asarray(random_values)
+    return randoms.mean()
+
+
+# This function is declared nogil so it can be used without the GIL below
+cdef uint32_t bounded_uint(uint32_t lb, uint32_t ub, bitgen_t *rng) nogil:
+    cdef uint32_t mask, delta, val
+    mask = delta = ub - lb
+    mask |= mask >> 1
+    mask |= mask >> 2
+    mask |= mask >> 4
+    mask |= mask >> 8
+    mask |= mask >> 16
+
+    val = rng.next_uint32(rng.state) & mask
+    while val > delta:
+        val = rng.next_uint32(rng.state) & mask
+
+    return lb + val
+
+
+@cython.boundscheck(False)
+@cython.wraparound(False)
+def bounded_uints(uint32_t lb, uint32_t ub, Py_ssize_t n):
+    cdef Py_ssize_t i
+    cdef bitgen_t *rng
+    cdef uint32_t[::1] out
+    cdef const char *capsule_name = "BitGenerator"
+
+    x = PCG64()
+    out = np.empty(n, dtype=np.uint32)
+    capsule = x.capsule
+
+    if not PyCapsule_IsValid(capsule, capsule_name):
+        raise ValueError("Invalid pointer to anon_func_state")
+    rng = <bitgen_t *>PyCapsule_GetPointer(capsule, capsule_name)
+
+    with x.lock, nogil:
+        for i in range(n):
+            out[i] = bounded_uint(lb, ub, rng)
+    return np.asarray(out)

env-llmeval/lib/python3.10/site-packages/numpy/random/_examples/cython/extending_distributions.pyx

@@ -0,0 +1,117 @@
+#!/usr/bin/env python3
+#cython: language_level=3
+"""
+This file shows how the to use a BitGenerator to create a distribution.
+"""
+import numpy as np
+cimport numpy as np
+cimport cython
+from cpython.pycapsule cimport PyCapsule_IsValid, PyCapsule_GetPointer
+from libc.stdint cimport uint16_t, uint64_t
+from numpy.random cimport bitgen_t
+from numpy.random import PCG64
+from numpy.random.c_distributions cimport (
+      random_standard_uniform_fill, random_standard_uniform_fill_f)
+
+
+@cython.boundscheck(False)
+@cython.wraparound(False)
+def uniforms(Py_ssize_t n):
+    """
+    Create an array of `n` uniformly distributed doubles.
+    A 'real' distribution would want to process the values into
+    some non-uniform distribution
+    """
+    cdef Py_ssize_t i
+    cdef bitgen_t *rng
+    cdef const char *capsule_name = "BitGenerator"
+    cdef double[::1] random_values
+
+    x = PCG64()
+    capsule = x.capsule
+    # Optional check that the capsule if from a BitGenerator
+    if not PyCapsule_IsValid(capsule, capsule_name):
+        raise ValueError("Invalid pointer to anon_func_state")
+    # Cast the pointer
+    rng = <bitgen_t *> PyCapsule_GetPointer(capsule, capsule_name)
+    random_values = np.empty(n, dtype='float64')
+    with x.lock, nogil:
+        for i in range(n):
+            # Call the function
+            random_values[i] = rng.next_double(rng.state)
+    randoms = np.asarray(random_values)
+
+    return randoms
+
+# cython example 2
+@cython.boundscheck(False)
+@cython.wraparound(False)
+def uint10_uniforms(Py_ssize_t n):
+    """Uniform 10 bit integers stored as 16-bit unsigned integers"""
+    cdef Py_ssize_t i
+    cdef bitgen_t *rng
+    cdef const char *capsule_name = "BitGenerator"
+    cdef uint16_t[::1] random_values
+    cdef int bits_remaining
+    cdef int width = 10
+    cdef uint64_t buff, mask = 0x3FF
+
+    x = PCG64()
+    capsule = x.capsule
+    if not PyCapsule_IsValid(capsule, capsule_name):
+        raise ValueError("Invalid pointer to anon_func_state")
+    rng = <bitgen_t *> PyCapsule_GetPointer(capsule, capsule_name)
+    random_values = np.empty(n, dtype='uint16')
+    # Best practice is to release GIL and acquire the lock
+    bits_remaining = 0
+    with x.lock, nogil:
+        for i in range(n):
+            if bits_remaining < width:
+                buff = rng.next_uint64(rng.state)
+            random_values[i] = buff & mask
+            buff >>= width
+
+    randoms = np.asarray(random_values)
+    return randoms
+
+# cython example 3
+def uniforms_ex(bit_generator, Py_ssize_t n, dtype=np.float64):
+    """
+    Create an array of `n` uniformly distributed doubles via a "fill" function.
+
+    A 'real' distribution would want to process the values into
+    some non-uniform distribution
+
+    Parameters
+    ----------
+    bit_generator: BitGenerator instance
+    n: int
+        Output vector length
+    dtype: {str, dtype}, optional
+        Desired dtype, either 'd' (or 'float64') or 'f' (or 'float32'). The
+        default dtype value is 'd'
+    """
+    cdef Py_ssize_t i
+    cdef bitgen_t *rng
+    cdef const char *capsule_name = "BitGenerator"
+    cdef np.ndarray randoms
+
+    capsule = bit_generator.capsule
+    # Optional check that the capsule if from a BitGenerator
+    if not PyCapsule_IsValid(capsule, capsule_name):
+        raise ValueError("Invalid pointer to anon_func_state")
+    # Cast the pointer
+    rng = <bitgen_t *> PyCapsule_GetPointer(capsule, capsule_name)
+
+    _dtype = np.dtype(dtype)
+    randoms = np.empty(n, dtype=_dtype)
+    if _dtype == np.float32:
+        with bit_generator.lock:
+            random_standard_uniform_fill_f(rng, n, <float*>np.PyArray_DATA(randoms))
+    elif _dtype == np.float64:
+        with bit_generator.lock:
+            random_standard_uniform_fill(rng, n, <double*>np.PyArray_DATA(randoms))
+    else:
+        raise TypeError('Unsupported dtype %r for random' % _dtype)
+    return randoms
+

env-llmeval/lib/python3.10/site-packages/numpy/random/_examples/cython/meson.build

@@ -0,0 +1,45 @@
+project('random-build-examples', 'c', 'cpp', 'cython')
+
+py_mod = import('python')
+py3 = py_mod.find_installation(pure: false)
+
+cc = meson.get_compiler('c')
+cy = meson.get_compiler('cython')
+
+if not cy.version().version_compare('>=0.29.35')
+  error('tests requires Cython >= 0.29.35')
+endif
+
+_numpy_abs = run_command(py3, ['-c',
+               'import os; os.chdir(".."); import numpy; print(os.path.abspath(numpy.get_include() + "../../.."))'],
+                         check: true).stdout().strip()
+
+npymath_path = _numpy_abs / 'core' / 'lib'
+npy_include_path = _numpy_abs / 'core' / 'include'
+npyrandom_path = _numpy_abs / 'random' / 'lib'
+npymath_lib = cc.find_library('npymath', dirs: npymath_path)
+npyrandom_lib = cc.find_library('npyrandom', dirs: npyrandom_path)
+
+py3.extension_module(
+    'extending_distributions',
+    'extending_distributions.pyx',
+    install: false,
+    include_directories: [npy_include_path],
+    dependencies: [npyrandom_lib, npymath_lib],
+)
+py3.extension_module(
+    'extending',
+    'extending.pyx',
+    install: false,
+    include_directories: [npy_include_path],
+    dependencies: [npyrandom_lib, npymath_lib],
+)
+py3.extension_module(
+    'extending_cpp',
+    'extending_distributions.pyx',
+    install: false,
+    override_options : ['cython_language=cpp'],
+    cython_args: ['--module-name', 'extending_cpp'],
+    include_directories: [npy_include_path],
+    dependencies: [npyrandom_lib, npymath_lib],
+)

env-llmeval/lib/python3.10/site-packages/numpy/random/_examples/numba/extending.py

@@ -0,0 +1,84 @@
+import numpy as np
+import numba as nb
+
+from numpy.random import PCG64
+from timeit import timeit
+
+bit_gen = PCG64()
+next_d = bit_gen.cffi.next_double
+state_addr = bit_gen.cffi.state_address
+
+def normals(n, state):
+    out = np.empty(n)
+    for i in range((n + 1) // 2):
+        x1 = 2.0 * next_d(state) - 1.0
+        x2 = 2.0 * next_d(state) - 1.0
+        r2 = x1 * x1 + x2 * x2
+        while r2 >= 1.0 or r2 == 0.0:
+            x1 = 2.0 * next_d(state) - 1.0
+            x2 = 2.0 * next_d(state) - 1.0
+            r2 = x1 * x1 + x2 * x2
+        f = np.sqrt(-2.0 * np.log(r2) / r2)
+        out[2 * i] = f * x1
+        if 2 * i + 1 < n:
+            out[2 * i + 1] = f * x2
+    return out
+
+# Compile using Numba
+normalsj = nb.jit(normals, nopython=True)
+# Must use state address not state with numba
+n = 10000
+
+def numbacall():
+    return normalsj(n, state_addr)
+
+rg = np.random.Generator(PCG64())
+
+def numpycall():
+    return rg.normal(size=n)
+
+# Check that the functions work
+r1 = numbacall()
+r2 = numpycall()
+assert r1.shape == (n,)
+assert r1.shape == r2.shape
+
+t1 = timeit(numbacall, number=1000)
+print(f'{t1:.2f} secs for {n} PCG64 (Numba/PCG64) gaussian randoms')
+t2 = timeit(numpycall, number=1000)
+print(f'{t2:.2f} secs for {n} PCG64 (NumPy/PCG64) gaussian randoms')
+
+# example 2
+
+next_u32 = bit_gen.ctypes.next_uint32
+ctypes_state = bit_gen.ctypes.state
+
+@nb.jit(nopython=True)
+def bounded_uint(lb, ub, state):
+    mask = delta = ub - lb
+    mask |= mask >> 1
+    mask |= mask >> 2
+    mask |= mask >> 4
+    mask |= mask >> 8
+    mask |= mask >> 16
+
+    val = next_u32(state) & mask
+    while val > delta:
+        val = next_u32(state) & mask
+
+    return lb + val
+
+
+print(bounded_uint(323, 2394691, ctypes_state.value))
+
+
+@nb.jit(nopython=True)
+def bounded_uints(lb, ub, n, state):
+    out = np.empty(n, dtype=np.uint32)
+    for i in range(n):
+        out[i] = bounded_uint(lb, ub, state)
+
+
+bounded_uints(323, 2394691, 10000000, ctypes_state.value)
+
+

env-llmeval/lib/python3.10/site-packages/numpy/random/_examples/numba/extending_distributions.py

@@ -0,0 +1,67 @@
+r"""
+Building the required library in this example requires a source distribution
+of NumPy or clone of the NumPy git repository since distributions.c is not
+included in binary distributions.
+
+On *nix, execute in numpy/random/src/distributions
+
+export ${PYTHON_VERSION}=3.8 # Python version
+export PYTHON_INCLUDE=#path to Python's include folder, usually \
+    ${PYTHON_HOME}/include/python${PYTHON_VERSION}m
+export NUMPY_INCLUDE=#path to numpy's include folder, usually \
+    ${PYTHON_HOME}/lib/python${PYTHON_VERSION}/site-packages/numpy/core/include
+gcc -shared -o libdistributions.so -fPIC distributions.c \
+    -I${NUMPY_INCLUDE} -I${PYTHON_INCLUDE}
+mv libdistributions.so ../../_examples/numba/
+
+On Windows
+
+rem PYTHON_HOME and PYTHON_VERSION are setup dependent, this is an example
+set PYTHON_HOME=c:\Anaconda
+set PYTHON_VERSION=38
+cl.exe /LD .\distributions.c -DDLL_EXPORT \
+    -I%PYTHON_HOME%\lib\site-packages\numpy\core\include \
+    -I%PYTHON_HOME%\include %PYTHON_HOME%\libs\python%PYTHON_VERSION%.lib
+move distributions.dll ../../_examples/numba/
+"""
+import os
+
+import numba as nb
+import numpy as np
+from cffi import FFI
+
+from numpy.random import PCG64
+
+ffi = FFI()
+if os.path.exists('./distributions.dll'):
+    lib = ffi.dlopen('./distributions.dll')
+elif os.path.exists('./libdistributions.so'):
+    lib = ffi.dlopen('./libdistributions.so')
+else:
+    raise RuntimeError('Required DLL/so file was not found.')
+
+ffi.cdef("""
+double random_standard_normal(void *bitgen_state);
+""")
+x = PCG64()
+xffi = x.cffi
+bit_generator = xffi.bit_generator
+
+random_standard_normal = lib.random_standard_normal
+
+
+def normals(n, bit_generator):
+    out = np.empty(n)
+    for i in range(n):
+        out[i] = random_standard_normal(bit_generator)
+    return out
+
+
+normalsj = nb.jit(normals, nopython=True)
+
+# Numba requires a memory address for void *
+# Can also get address from x.ctypes.bit_generator.value
+bit_generator_address = int(ffi.cast('uintptr_t', bit_generator))
+
+norm = normalsj(1000, bit_generator_address)
+print(norm[:12])

env-llmeval/lib/python3.10/site-packages/numpy/random/tests/data/mt19937-testset-2.csv

@@ -0,0 +1,1001 @@
+seed, 0x0
+0, 0x7ab4ea94
+1, 0x9b561119
+2, 0x4957d02e
+3, 0x7dd3fdc2
+4, 0x5affe54
+5, 0x5a01741c
+6, 0x8b9e8c1f
+7, 0xda5bf11a
+8, 0x509226
+9, 0x64e2ea17
+10, 0x82c6dab5
+11, 0xe4302515
+12, 0x8198b873
+13, 0xc3ec9a82
+14, 0x829dff28
+15, 0x5278e44f
+16, 0x994a7d2c
+17, 0xf1c89398
+18, 0xaf2fddec
+19, 0x22abc6ee
+20, 0x963dbd43
+21, 0xc29edffb
+22, 0x41c1ce07
+23, 0x9c90034d
+24, 0x1f17a796
+25, 0x3833caa8
+26, 0xb8795528
+27, 0xebc595a2
+28, 0xf8f5b5dd
+29, 0xc2881f72
+30, 0x18e5d3f0
+31, 0x9b19ac7a
+32, 0xb9992436
+33, 0xc00052b3
+34, 0xb63f4475
+35, 0x962642d9
+36, 0x63506c10
+37, 0x2be6b127
+38, 0x569bdbc6
+39, 0x7f185e01
+40, 0xebb55f53
+41, 0x1c30198c
+42, 0x7c8d75c6
+43, 0xd3f2186b
+44, 0xaca5b9b1
+45, 0xbc49ff45
+46, 0xc4a802af
+47, 0x2cecd86f
+48, 0x8e0da529
+49, 0x1f22b00e
+50, 0x4559ea80
+51, 0x60f587d8
+52, 0x7c7460e9
+53, 0x67be0a4a
+54, 0x987a0183
+55, 0x7bd30f1
+56, 0xab18c4ac
+57, 0xffdbfb64
+58, 0x9ea917f9
+59, 0x1239dab7
+60, 0x38efabeb
+61, 0x5da91888
+62, 0x8f49ed62
+63, 0x83f60b1e
+64, 0x5950a3fc
+65, 0xd8911104
+66, 0x19e8859e
+67, 0x1a4d89ec
+68, 0x968ca180
+69, 0x9e1b6da3
+70, 0x3d99c2c
+71, 0x55f76289
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+74, 0xdade4e38
+75, 0x1ea04290
+76, 0xa7263313
+77, 0xaafc762e
+78, 0x460476d6
+79, 0x31226e12
+80, 0x451d3f05
+81, 0xd0d2764b
+82, 0xd06e1ab3
+83, 0x1394e3f4
+84, 0x2fc04ea3
+85, 0x5b8401c
+86, 0xebd6c929
+87, 0xe881687c
+88, 0x94bdd66a
+89, 0xabf85983
+90, 0x223ad12d
+91, 0x2aaeeaa3
+92, 0x1f704934
+93, 0x2db2efb6
+94, 0xf49b8dfb
+95, 0x5bdbbb9d
+96, 0xba0cd0db
+97, 0x4ec4674e
+98, 0xad0129e
+99, 0x7a66129b
+100, 0x50d12c5e
+101, 0x85b1d335
+102, 0x3efda58a
+103, 0xecd886fb
+104, 0x8ecadd3d
+105, 0x60ebac0f
+106, 0x5e10fe79
+107, 0xa84f7e5d
+108, 0x43931288
+109, 0xfacf448
+110, 0x4ee01997
+111, 0xcdc0a651
+112, 0x33c87037
+113, 0x8b50fc03
+114, 0xf52aad34
+115, 0xda6cd856
+116, 0x7585bea0
+117, 0xe947c762
+118, 0x4ddff5d8
+119, 0xe0e79b3b
+120, 0xb804cf09
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env-llmeval/lib/python3.10/site-packages/triton/__init__.py

@@ -0,0 +1,68 @@
+"""isort:skip_file"""
+__version__ = '2.2.0'
+
+# ---------------------------------------
+# Note: import order is significant here.
+
+# submodules
+from .runtime import (
+    autotune,
+    Config,
+    heuristics,
+    JITFunction,
+    KernelInterface,
+    reinterpret,
+    TensorWrapper,
+    OutOfResources,
+    MockTensor,
+)
+from .runtime.jit import jit
+from .compiler import compile, CompilationError
+
+from . import language
+from . import testing
+
+__all__ = [
+    "autotune",
+    "cdiv",
+    "CompilationError",
+    "compile",
+    "Config",
+    "heuristics",
+    "impl",
+    "jit",
+    "JITFunction",
+    "KernelInterface",
+    "language",
+    "MockTensor",
+    "next_power_of_2",
+    "ops",
+    "OutOfResources",
+    "reinterpret",
+    "runtime",
+    "TensorWrapper",
+    "testing",
+    "tools",
+]
+
+# -------------------------------------
+# misc. utilities that  don't fit well
+# into any specific module
+# -------------------------------------
+
+
+def cdiv(x: int, y: int):
+    return (x + y - 1) // y
+
+
+def next_power_of_2(n: int):
+    """Return the smallest power of 2 greater than or equal to n"""
+    n -= 1
+    n |= n >> 1
+    n |= n >> 2
+    n |= n >> 4
+    n |= n >> 8
+    n |= n >> 16
+    n |= n >> 32
+    n += 1
+    return n

env-llmeval/lib/python3.10/site-packages/triton/common/__init__.py

@@ -0,0 +1,3 @@
+from .build import _build, cuda_include_dir, libcuda_dirs
+
+__all__ = ["_build", "libcuda_dirs", "cuda_include_dir"]

env-llmeval/lib/python3.10/site-packages/triton/common/backend.py

@@ -0,0 +1,183 @@
+import functools
+import hashlib
+import importlib
+import importlib.util
+import os
+import re
+import subprocess
+import traceback
+from typing import Dict
+
+from ..runtime.driver import DriverBase
+
+TRITON_PATH = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+TRITON_VERSION = "2.2.0"
+
+
+class BaseBackend:
+
+    def __init__(self, device_type: str) -> None:
+        self.device_type = device_type
+
+    def add_stages(self, arch, extern_libs, stages):
+        """
+        Custom the arch, extern_libs and stages per backend specific requirement
+        """
+        raise NotImplementedError
+
+    def add_meta_info(self, ir, cur_module, next_module, metadata, asm):
+        """
+        Custom the ir, module, metadata and asm per backend specific requirement
+        """
+        raise NotImplementedError
+
+    def get_load_binary_fn(self):
+        """
+        Return a callable to load binary
+        """
+        raise NotImplementedError
+
+    def get_driver(self) -> DriverBase:
+        """
+        Get the backend driver. Please refer to "DriverBase" for more details
+        """
+        raise NotImplementedError
+
+    def get_stream(self):
+        """
+        Get stream for current device
+        """
+        raise NotImplementedError
+
+    def get_device_properties(self, device):
+        raise NotImplementedError
+
+    def get_current_device(self):
+        """
+        Get current device
+        """
+        raise NotImplementedError
+
+    def set_current_device(self, device):
+        """
+        Set current device as the given device
+        """
+        raise NotImplementedError
+
+    def get_kernel_bin(self):
+        raise NotImplementedError
+
+    def make_launcher_stub(self, name, signature, constants):
+        """
+        Generate the launcher stub to launch the kernel
+        """
+        raise NotImplementedError
+
+    def get_architecture_descriptor(self, **kwargs):
+        """
+        Get the architecture descriptor the backend
+        """
+        raise NotImplementedError
+
+    @classmethod
+    def create_backend(cls, device_type: str):
+        return cls(device_type)
+
+
+_backends: Dict[str, BaseBackend] = {}
+
+
+def register_backend(device_type: str, backend_cls: type):
+    if device_type not in _backends:
+        _backends[device_type] = backend_cls.create_backend(device_type)
+
+
+def get_backend(device_type: str):
+    if device_type not in _backends:
+        device_backend_package_name = f"...third_party.{device_type}"
+        if importlib.util.find_spec(device_backend_package_name, package=__spec__.name):
+            try:
+                importlib.import_module(device_backend_package_name, package=__spec__.name)
+            except Exception:
+                traceback.print_exc()
+        else:
+            return None
+    return _backends[device_type] if device_type in _backends else None
+
+
+def _path_to_binary(binary: str):
+    base_dir = os.path.join(os.path.dirname(__file__), os.pardir)
+    paths = [
+        os.environ.get(f"TRITON_{binary.upper()}_PATH", ""),
+        os.path.join(base_dir, "third_party", "cuda", "bin", binary)
+    ]
+
+    for p in paths:
+        bin = p.split(" ")[0]
+        if os.path.exists(bin) and os.path.isfile(bin):
+            result = subprocess.check_output([bin, "--version"], stderr=subprocess.STDOUT)
+            if result is not None:
+                version = re.search(r".*release (\d+\.\d+).*", result.decode("utf-8"), flags=re.MULTILINE)
+                if version is not None:
+                    return p, version.group(1)
+    raise RuntimeError(f"Cannot find {binary}")
+
+
+@functools.lru_cache()
+def path_to_ptxas():
+    return _path_to_binary("ptxas")
+
+
+@functools.lru_cache()
+def path_to_cuobjdump():
+    return _path_to_binary("cuobjdump")
+
+
+@functools.lru_cache()
+def path_to_nvdisasm():
+    return _path_to_binary("nvdisasm")
+
+
+@functools.lru_cache()
+def compute_core_version_key():
+    import pkgutil
+    contents = []
+    # frontend
+    with open(__file__, "rb") as f:
+        contents += [hashlib.sha1(f.read()).hexdigest()]
+    # compiler
+    compiler_path = os.path.join(TRITON_PATH, 'compiler')
+    for lib in pkgutil.iter_modules([compiler_path]):
+        with open(lib.module_finder.find_spec(lib.name).origin, "rb") as f:
+            contents += [hashlib.sha1(f.read()).hexdigest()]
+    # backend
+    libtriton_hash = hashlib.sha1()
+    with open(os.path.join(TRITON_PATH, "_C/libtriton.so"), "rb") as f:
+        while True:
+            chunk = f.read(1024**2)
+            if not chunk:
+                break
+            libtriton_hash.update(chunk)
+    contents.append(libtriton_hash.hexdigest())
+    # language
+    language_path = os.path.join(TRITON_PATH, 'language')
+    for lib in pkgutil.iter_modules([language_path]):
+        with open(lib.module_finder.find_spec(lib.name).origin, "rb") as f:
+            contents += [hashlib.sha1(f.read()).hexdigest()]
+    return '-'.join(TRITON_VERSION) + '-'.join(contents)
+
+
+_cached_cuda_version_key = None
+
+
+def get_cuda_version_key():
+    global _cached_cuda_version_key
+    if _cached_cuda_version_key is None:
+        key = compute_core_version_key()
+        try:
+            ptxas = path_to_ptxas()[0]
+            ptxas_version = subprocess.check_output([ptxas, "--version"])
+        except RuntimeError:
+            ptxas_version = b"NO_PTXAS"
+        _cached_cuda_version_key = key + '-' + hashlib.sha1(ptxas_version).hexdigest()
+    return _cached_cuda_version_key

env-llmeval/lib/python3.10/site-packages/triton/common/build.py

@@ -0,0 +1,140 @@
+import contextlib
+import functools
+import io
+import os
+import shutil
+import subprocess
+import sys
+import sysconfig
+
+import setuptools
+
+
+# TODO: is_hip shouldn't be here
+def is_hip():
+    import torch
+    return torch.version.hip is not None
+
+
+@functools.lru_cache()
+def libcuda_dirs():
+    env_libcuda_path = os.getenv("TRITON_LIBCUDA_PATH")
+    if env_libcuda_path:
+        return [env_libcuda_path]
+
+    libs = subprocess.check_output(["/sbin/ldconfig", "-p"]).decode()
+    # each line looks like the following:
+    # libcuda.so.1 (libc6,x86-64) => /lib/x86_64-linux-gnu/libcuda.so.1
+    locs = [line.split()[-1] for line in libs.splitlines() if "libcuda.so" in line]
+    dirs = [os.path.dirname(loc) for loc in locs]
+    env_ld_library_path = os.getenv("LD_LIBRARY_PATH")
+    if env_ld_library_path and not dirs:
+        dirs = [dir for dir in env_ld_library_path.split(":") if os.path.exists(os.path.join(dir, "libcuda.so"))]
+    msg = 'libcuda.so cannot found!\n'
+    if locs:
+        msg += 'Possible files are located at %s.' % str(locs)
+        msg += 'Please create a symlink of libcuda.so to any of the file.'
+    else:
+        msg += 'Please make sure GPU is setup and then run "/sbin/ldconfig"'
+        msg += ' (requires sudo) to refresh the linker cache.'
+    assert any(os.path.exists(os.path.join(path, 'libcuda.so')) for path in dirs), msg
+    return dirs
+
+
+@functools.lru_cache()
+def rocm_path_dir():
+    return os.getenv("ROCM_PATH", default="/opt/rocm")
+
+
+@contextlib.contextmanager
+def quiet():
+    old_stdout, old_stderr = sys.stdout, sys.stderr
+    sys.stdout, sys.stderr = io.StringIO(), io.StringIO()
+    try:
+        yield
+    finally:
+        sys.stdout, sys.stderr = old_stdout, old_stderr
+
+
+@functools.lru_cache()
+def cuda_include_dir():
+    base_dir = os.path.join(os.path.dirname(__file__), os.path.pardir)
+    cuda_path = os.path.join(base_dir, "third_party", "cuda")
+    return os.path.join(cuda_path, "include")
+
+
+def _build(name, src, srcdir):
+    if is_hip():
+        hip_lib_dir = os.path.join(rocm_path_dir(), "lib")
+        hip_include_dir = os.path.join(rocm_path_dir(), "include")
+    else:
+        cuda_lib_dirs = libcuda_dirs()
+        cu_include_dir = cuda_include_dir()
+    suffix = sysconfig.get_config_var('EXT_SUFFIX')
+    so = os.path.join(srcdir, '{name}{suffix}'.format(name=name, suffix=suffix))
+    # try to avoid setuptools if possible
+    cc = os.environ.get("CC")
+    if cc is None:
+        # TODO: support more things here.
+        clang = shutil.which("clang")
+        gcc = shutil.which("gcc")
+        cc = gcc if gcc is not None else clang
+        if cc is None:
+            raise RuntimeError("Failed to find C compiler. Please specify via CC environment variable.")
+    # This function was renamed and made public in Python 3.10
+    if hasattr(sysconfig, 'get_default_scheme'):
+        scheme = sysconfig.get_default_scheme()
+    else:
+        scheme = sysconfig._get_default_scheme()
+    # 'posix_local' is a custom scheme on Debian. However, starting Python 3.10, the default install
+    # path changes to include 'local'. This change is required to use triton with system-wide python.
+    if scheme == 'posix_local':
+        scheme = 'posix_prefix'
+    py_include_dir = sysconfig.get_paths(scheme=scheme)["include"]
+
+    if is_hip():
+        ret = subprocess.check_call([
+            cc, src, f"-I{hip_include_dir}", f"-I{py_include_dir}", f"-I{srcdir}", "-shared", "-fPIC",
+            f"-L{hip_lib_dir}", "-lamdhip64", "-o", so
+        ])
+    else:
+        cc_cmd = [
+            cc, src, "-O3", f"-I{cu_include_dir}", f"-I{py_include_dir}", f"-I{srcdir}", "-shared", "-fPIC", "-lcuda",
+            "-o", so
+        ]
+        cc_cmd += [f"-L{dir}" for dir in cuda_lib_dirs]
+        ret = subprocess.check_call(cc_cmd)
+
+    if ret == 0:
+        return so
+    # fallback on setuptools
+    extra_compile_args = []
+    library_dirs = cuda_lib_dirs
+    include_dirs = [srcdir, cu_include_dir]
+    libraries = ['cuda']
+    # extra arguments
+    extra_link_args = []
+    # create extension module
+    ext = setuptools.Extension(
+        name=name,
+        language='c',
+        sources=[src],
+        include_dirs=include_dirs,
+        extra_compile_args=extra_compile_args + ['-O3'],
+        extra_link_args=extra_link_args,
+        library_dirs=library_dirs,
+        libraries=libraries,
+    )
+    # build extension module
+    args = ['build_ext']
+    args.append('--build-temp=' + srcdir)
+    args.append('--build-lib=' + srcdir)
+    args.append('-q')
+    args = dict(
+        name=name,
+        ext_modules=[ext],
+        script_args=args,
+    )
+    with quiet():
+        setuptools.setup(**args)
+    return so