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https://github.com/pytorch/pytorch.git
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30587195d3
Summary: As above, also changes a bunch of the build files to be better Test Plan: internal and external CI did run buck2 build fbcode//caffe2:torch and it succeeded Rollback Plan: Reviewed By: swolchok Differential Revision: D78016591 Pull Request resolved: https://github.com/pytorch/pytorch/pull/158035 Approved by: https://github.com/swolchok
79 lines
2.5 KiB
C
79 lines
2.5 KiB
C
#ifndef C10_MACROS_EXPORT_H_
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#define C10_MACROS_EXPORT_H_
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#ifndef C10_USING_CUSTOM_GENERATED_MACROS
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#include <torch/headeronly/macros/cmake_macros.h>
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#endif // C10_USING_CUSTOM_GENERATED_MACROS
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#include <torch/headeronly/macros/Export.h>
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// This one is being used by libtorch.so
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#ifdef CAFFE2_BUILD_MAIN_LIB
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#define TORCH_API C10_EXPORT
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#else
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#define TORCH_API C10_IMPORT
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#endif
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// You may be wondering: Whose brilliant idea was it to split torch_cuda into
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// two pieces with confusing names?
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// Once upon a time, there _was_ only TORCH_CUDA_API. All was happy until we
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// tried to compile PyTorch for CUDA 11.1, which ran into relocation marker
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// issues when linking big binaries.
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// (https://github.com/pytorch/pytorch/issues/39968) We had two choices:
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// (1) Stop supporting so many GPU architectures
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// (2) Do something else
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// We chose #2 and decided to split the behemoth that was torch_cuda into two
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// smaller libraries, one with most of the core kernel functions (torch_cuda_cu)
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// and the other that had..well..everything else (torch_cuda_cpp). The idea was
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// this: instead of linking our static libraries (like the hefty
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// libcudnn_static.a) with another huge library, torch_cuda, and run into pesky
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// relocation marker issues, we could link our static libraries to a smaller
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// part of torch_cuda (torch_cuda_cpp) and avoid the issues.
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// libtorch_cuda_cu.so
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#ifdef TORCH_CUDA_CU_BUILD_MAIN_LIB
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#define TORCH_CUDA_CU_API C10_EXPORT
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#elif defined(BUILD_SPLIT_CUDA)
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#define TORCH_CUDA_CU_API C10_IMPORT
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#endif
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// libtorch_cuda_cpp.so
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#ifdef TORCH_CUDA_CPP_BUILD_MAIN_LIB
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#define TORCH_CUDA_CPP_API C10_EXPORT
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#elif defined(BUILD_SPLIT_CUDA)
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#define TORCH_CUDA_CPP_API C10_IMPORT
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#endif
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// libtorch_cuda.so (where torch_cuda_cu and torch_cuda_cpp are a part of the
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// same api)
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#ifdef TORCH_CUDA_BUILD_MAIN_LIB
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#define TORCH_CUDA_CPP_API C10_EXPORT
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#define TORCH_CUDA_CU_API C10_EXPORT
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#elif !defined(BUILD_SPLIT_CUDA)
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#define TORCH_CUDA_CPP_API C10_IMPORT
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#define TORCH_CUDA_CU_API C10_IMPORT
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#endif
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#if defined(TORCH_HIP_BUILD_MAIN_LIB)
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#define TORCH_HIP_CPP_API C10_EXPORT
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#define TORCH_HIP_API C10_EXPORT
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#else
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#define TORCH_HIP_CPP_API C10_IMPORT
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#define TORCH_HIP_API C10_IMPORT
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#endif
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#if defined(TORCH_XPU_BUILD_MAIN_LIB)
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#define TORCH_XPU_API C10_EXPORT
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#else
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#define TORCH_XPU_API C10_IMPORT
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#endif
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// Enums only need to be exported on windows for non-CUDA files
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#if defined(_WIN32) && defined(__CUDACC__)
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#define C10_API_ENUM C10_API
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#else
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#define C10_API_ENUM
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#endif
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#endif // C10_MACROS_EXPORT_H_
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