Spaces:
Running
on
Zero
Running
on
Zero
markany-yhkwon
commited on
Commit
·
496f961
1
Parent(s):
2f32b9e
_c bug fix
Browse files
app.py
CHANGED
@@ -15,7 +15,7 @@ from pathlib import Path
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import warnings
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import torch
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-
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warnings.filterwarnings("ignore")
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from groundingdino.models import build_model
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import warnings
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import torch
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os.system("python setup.py build develop --user")
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warnings.filterwarnings("ignore")
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from groundingdino.models import build_model
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setup.py
ADDED
@@ -0,0 +1,220 @@
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1 |
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# coding=utf-8
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# Copyright 2022 The IDEA Authors. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ------------------------------------------------------------------------------------------------
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# Modified from
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# https://github.com/fundamentalvision/Deformable-DETR/blob/main/models/ops/setup.py
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# https://github.com/facebookresearch/detectron2/blob/main/setup.py
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# https://github.com/open-mmlab/mmdetection/blob/master/setup.py
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# https://github.com/Oneflow-Inc/libai/blob/main/setup.py
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# ------------------------------------------------------------------------------------------------
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import glob
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import os
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import subprocess
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import subprocess
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import sys
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def install_torch():
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try:
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import torch
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except ImportError:
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subprocess.check_call([sys.executable, "-m", "pip", "install", "torch"])
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# Call the function to ensure torch is installed
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install_torch()
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import torch
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from setuptools import find_packages, setup
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from torch.utils.cpp_extension import CUDA_HOME, CppExtension, CUDAExtension
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# groundingdino version info
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version = "0.1.0"
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package_name = "groundingdino"
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cwd = os.path.dirname(os.path.abspath(__file__))
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sha = "Unknown"
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try:
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sha = subprocess.check_output(["git", "rev-parse", "HEAD"], cwd=cwd).decode("ascii").strip()
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except Exception:
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pass
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def write_version_file():
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version_path = os.path.join(cwd, "groundingdino", "version.py")
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with open(version_path, "w") as f:
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f.write(f"__version__ = '{version}'\n")
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# f.write(f"git_version = {repr(sha)}\n")
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requirements = ["torch", "torchvision"]
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torch_ver = [int(x) for x in torch.__version__.split(".")[:2]]
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def get_extensions():
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this_dir = os.path.dirname(os.path.abspath(__file__))
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extensions_dir = os.path.join(this_dir, "groundingdino", "models", "GroundingDINO", "csrc")
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main_source = os.path.join(extensions_dir, "vision.cpp")
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sources = glob.glob(os.path.join(extensions_dir, "**", "*.cpp"))
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source_cuda = glob.glob(os.path.join(extensions_dir, "**", "*.cu")) + glob.glob(
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os.path.join(extensions_dir, "*.cu")
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)
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sources = [main_source] + sources
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extension = CppExtension
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extra_compile_args = {"cxx": []}
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define_macros = []
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if CUDA_HOME is not None and (torch.cuda.is_available() or "TORCH_CUDA_ARCH_LIST" in os.environ):
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print("Compiling with CUDA")
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extension = CUDAExtension
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sources += source_cuda
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define_macros += [("WITH_CUDA", None)]
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extra_compile_args["nvcc"] = [
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"-DCUDA_HAS_FP16=1",
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"-D__CUDA_NO_HALF_OPERATORS__",
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"-D__CUDA_NO_HALF_CONVERSIONS__",
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"-D__CUDA_NO_HALF2_OPERATORS__",
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]
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else:
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print("Compiling without CUDA")
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define_macros += [("WITH_HIP", None)]
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extra_compile_args["nvcc"] = []
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return None
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sources = [os.path.join(extensions_dir, s) for s in sources]
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include_dirs = [extensions_dir]
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ext_modules = [
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extension(
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"groundingdino._C",
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sources,
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include_dirs=include_dirs,
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define_macros=define_macros,
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extra_compile_args=extra_compile_args,
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)
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]
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return ext_modules
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def parse_requirements(fname="requirements.txt", with_version=True):
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"""Parse the package dependencies listed in a requirements file but strips
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specific versioning information.
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Args:
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fname (str): path to requirements file
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with_version (bool, default=False): if True include version specs
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Returns:
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List[str]: list of requirements items
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CommandLine:
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python -c "import setup; print(setup.parse_requirements())"
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"""
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import re
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import sys
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from os.path import exists
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require_fpath = fname
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def parse_line(line):
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"""Parse information from a line in a requirements text file."""
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if line.startswith("-r "):
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# Allow specifying requirements in other files
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target = line.split(" ")[1]
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for info in parse_require_file(target):
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yield info
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else:
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info = {"line": line}
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if line.startswith("-e "):
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info["package"] = line.split("#egg=")[1]
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elif "@git+" in line:
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info["package"] = line
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else:
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# Remove versioning from the package
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pat = "(" + "|".join([">=", "==", ">"]) + ")"
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parts = re.split(pat, line, maxsplit=1)
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parts = [p.strip() for p in parts]
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info["package"] = parts[0]
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if len(parts) > 1:
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op, rest = parts[1:]
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if ";" in rest:
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# Handle platform specific dependencies
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# http://setuptools.readthedocs.io/en/latest/setuptools.html#declaring-platform-specific-dependencies
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version, platform_deps = map(str.strip, rest.split(";"))
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info["platform_deps"] = platform_deps
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else:
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version = rest # NOQA
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info["version"] = (op, version)
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yield info
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def parse_require_file(fpath):
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with open(fpath, "r") as f:
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for line in f.readlines():
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line = line.strip()
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if line and not line.startswith("#"):
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for info in parse_line(line):
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yield info
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def gen_packages_items():
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if exists(require_fpath):
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for info in parse_require_file(require_fpath):
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parts = [info["package"]]
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if with_version and "version" in info:
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parts.extend(info["version"])
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if not sys.version.startswith("3.4"):
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# apparently package_deps are broken in 3.4
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platform_deps = info.get("platform_deps")
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if platform_deps is not None:
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parts.append(";" + platform_deps)
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item = "".join(parts)
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yield item
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packages = list(gen_packages_items())
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return packages
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if __name__ == "__main__":
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print(f"Building wheel {package_name}-{version}")
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with open("LICENSE", "r", encoding="utf-8") as f:
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license = f.read()
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write_version_file()
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setup(
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name="groundingdino",
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version="0.1.0",
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author="International Digital Economy Academy, Shilong Liu",
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url="https://github.com/IDEA-Research/GroundingDINO",
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description="open-set object detector",
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license=license,
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install_requires=parse_requirements("requirements.txt"),
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packages=find_packages(
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exclude=(
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"configs",
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"tests",
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)
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),
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ext_modules=get_extensions(),
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cmdclass={"build_ext": torch.utils.cpp_extension.BuildExtension},
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)
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