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https://github.com/zebrajr/pytorch.git
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3c0072e7c0
in order to add mps kernels to torchvision codebase, we need to expose mps headers and allow objc++ files used in extensions. Pull Request resolved: https://github.com/pytorch/pytorch/pull/102483 Approved by: https://github.com/malfet
96 lines
3.2 KiB
Python
96 lines
3.2 KiB
Python
import sys
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import torch.cuda
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import os
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from setuptools import setup
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from torch.utils.cpp_extension import BuildExtension, CppExtension, CUDAExtension
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from torch.utils.cpp_extension import CUDA_HOME, ROCM_HOME
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from torch.testing._internal.common_utils import IS_WINDOWS
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if sys.platform == 'win32':
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vc_version = os.getenv('VCToolsVersion', '')
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if vc_version.startswith('14.16.'):
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CXX_FLAGS = ['/sdl']
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else:
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CXX_FLAGS = ['/sdl', '/permissive-']
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else:
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CXX_FLAGS = ['-g']
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USE_NINJA = os.getenv('USE_NINJA') == '1'
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ext_modules = [
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CppExtension(
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'torch_test_cpp_extension.cpp', ['extension.cpp'],
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extra_compile_args=CXX_FLAGS),
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CppExtension(
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'torch_test_cpp_extension.ort', ['ort_extension.cpp'],
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extra_compile_args=CXX_FLAGS),
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CppExtension(
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'torch_test_cpp_extension.rng', ['rng_extension.cpp'],
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extra_compile_args=CXX_FLAGS),
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]
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if torch.cuda.is_available() and (CUDA_HOME is not None or ROCM_HOME is not None):
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extension = CUDAExtension(
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'torch_test_cpp_extension.cuda', [
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'cuda_extension.cpp',
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'cuda_extension_kernel.cu',
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'cuda_extension_kernel2.cu',
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],
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extra_compile_args={'cxx': CXX_FLAGS,
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'nvcc': ['-O2']})
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ext_modules.append(extension)
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if torch.cuda.is_available() and (CUDA_HOME is not None or ROCM_HOME is not None):
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extension = CUDAExtension(
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'torch_test_cpp_extension.torch_library', [
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'torch_library.cu'
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],
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extra_compile_args={'cxx': CXX_FLAGS,
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'nvcc': ['-O2']})
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ext_modules.append(extension)
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if torch.backends.mps.is_available():
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extension = CppExtension(
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'torch_test_cpp_extension.mps',
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['mps_extension.mm'],
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extra_compile_args=CXX_FLAGS,
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)
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ext_modules.append(extension)
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# todo(mkozuki): Figure out the root cause
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if (not IS_WINDOWS) and torch.cuda.is_available() and CUDA_HOME is not None:
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# malfet: One should not assume that PyTorch re-exports CUDA dependencies
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cublas_extension = CUDAExtension(
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name='torch_test_cpp_extension.cublas_extension',
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sources=['cublas_extension.cpp'],
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libraries=['cublas'] if torch.version.hip is None else [],
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)
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ext_modules.append(cublas_extension)
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cusolver_extension = CUDAExtension(
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name='torch_test_cpp_extension.cusolver_extension',
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sources=['cusolver_extension.cpp'],
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libraries=['cusolver'] if torch.version.hip is None else [],
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)
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ext_modules.append(cusolver_extension)
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if USE_NINJA and (not IS_WINDOWS) and torch.cuda.is_available() and CUDA_HOME is not None:
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extension = CUDAExtension(
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name='torch_test_cpp_extension.cuda_dlink',
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sources=[
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'cuda_dlink_extension.cpp',
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'cuda_dlink_extension_kernel.cu',
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'cuda_dlink_extension_add.cu',
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],
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dlink=True,
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extra_compile_args={'cxx': CXX_FLAGS,
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'nvcc': ['-O2', '-dc']})
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ext_modules.append(extension)
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setup(
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name='torch_test_cpp_extension',
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packages=['torch_test_cpp_extension'],
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ext_modules=ext_modules,
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include_dirs='self_compiler_include_dirs_test',
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cmdclass={'build_ext': BuildExtension.with_options(use_ninja=USE_NINJA)})
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