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simplify torch.utils.cpp_extension.include_paths; use it in cpp_builder (#145480)
While working on conda-forge integration, I needed to look at the way the include paths are calculated, and noticed an avoidable duplication between `torch/utils/cpp_extension.py` and `torch/_inductor/cpp_builder.py`. The latter already imports the former anyway, so simply reuse the same function. Furthermore, remove long-obsolete include-paths. AFAICT, the `/TH` headers have not existed since pytorch 1.11. Pull Request resolved: https://github.com/pytorch/pytorch/pull/145480 Approved by: https://github.com/ezyang
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@ -762,16 +762,9 @@ def _get_build_args_of_chosen_isa(vec_isa: VecISA) -> tuple[list[str], list[str]
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def _get_torch_related_args(
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include_pytorch: bool, aot_mode: bool
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) -> tuple[list[str], list[str], list[str]]:
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from torch.utils.cpp_extension import _TORCH_PATH, TORCH_LIB_PATH
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from torch.utils.cpp_extension import include_paths, TORCH_LIB_PATH
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include_dirs = [
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os.path.join(_TORCH_PATH, "include"),
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os.path.join(_TORCH_PATH, "include", "torch", "csrc", "api", "include"),
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# Some internal (old) Torch headers don't properly prefix their includes,
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# so we need to pass -Itorch/lib/include/TH as well.
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os.path.join(_TORCH_PATH, "include", "TH"),
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os.path.join(_TORCH_PATH, "include", "THC"),
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]
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include_dirs = include_paths()
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libraries_dirs = [TORCH_LIB_PATH]
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libraries = []
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if sys.platform != "darwin" and not config.is_fbcode():
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@ -1220,10 +1220,6 @@ def include_paths(device_type: str = "cpu") -> list[str]:
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lib_include,
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# Remove this once torch/torch.h is officially no longer supported for C++ extensions.
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os.path.join(lib_include, 'torch', 'csrc', 'api', 'include'),
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# Some internal (old) Torch headers don't properly prefix their includes,
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# so we need to pass -Itorch/lib/include/TH as well.
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os.path.join(lib_include, 'TH'),
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os.path.join(lib_include, 'THC')
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]
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if device_type == "cuda" and IS_HIP_EXTENSION:
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paths.append(os.path.join(lib_include, 'THH'))
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