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https://github.com/pytorch/pytorch.git
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4b68801c69
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/62521 This diff did the following few things to enable the tests: 1. Exposed IMethod as TORCH_API. 2. Linked torch_deploy to test_api if USE_DEPLOY == 1. Test Plan: ./build/bin/test_api --gtest_filter=IMethodTest.* To be noted, one needs to run `python torch/csrc/deploy/example/generate_examples.py` before the above command. Reviewed By: ezyang Differential Revision: D30055372 Pulled By: alanwaketan fbshipit-source-id: 50eb3689cf84ed0f48be58cd109afcf61ecca508
105 lines
3.6 KiB
CMake
105 lines
3.6 KiB
CMake
set(TORCH_API_TEST_DIR "${TORCH_ROOT}/test/cpp/api")
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set(TORCH_API_TEST_SOURCES
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${TORCH_ROOT}/test/cpp/common/main.cpp
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${TORCH_API_TEST_DIR}/autograd.cpp
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${TORCH_API_TEST_DIR}/any.cpp
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${TORCH_API_TEST_DIR}/dataloader.cpp
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${TORCH_API_TEST_DIR}/enum.cpp
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${TORCH_API_TEST_DIR}/expanding-array.cpp
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${TORCH_API_TEST_DIR}/fft.cpp
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${TORCH_API_TEST_DIR}/functional.cpp
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${TORCH_API_TEST_DIR}/integration.cpp
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${TORCH_API_TEST_DIR}/init.cpp
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${TORCH_API_TEST_DIR}/jit.cpp
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${TORCH_API_TEST_DIR}/memory.cpp
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${TORCH_API_TEST_DIR}/meta_tensor.cpp
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${TORCH_API_TEST_DIR}/misc.cpp
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${TORCH_API_TEST_DIR}/module.cpp
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${TORCH_API_TEST_DIR}/moduledict.cpp
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${TORCH_API_TEST_DIR}/modulelist.cpp
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${TORCH_API_TEST_DIR}/modules.cpp
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${TORCH_API_TEST_DIR}/parameterdict.cpp
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${TORCH_API_TEST_DIR}/parameterlist.cpp
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${TORCH_API_TEST_DIR}/namespace.cpp
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${TORCH_API_TEST_DIR}/nn_utils.cpp
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${TORCH_API_TEST_DIR}/optim.cpp
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${TORCH_API_TEST_DIR}/ordered_dict.cpp
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${TORCH_API_TEST_DIR}/rnn.cpp
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${TORCH_API_TEST_DIR}/sequential.cpp
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${TORCH_API_TEST_DIR}/transformer.cpp
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${TORCH_API_TEST_DIR}/serialize.cpp
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${TORCH_API_TEST_DIR}/special.cpp
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${TORCH_API_TEST_DIR}/static.cpp
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${TORCH_API_TEST_DIR}/support.cpp
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${TORCH_API_TEST_DIR}/tensor_cuda.cpp
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${TORCH_API_TEST_DIR}/tensor_indexing.cpp
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${TORCH_API_TEST_DIR}/tensor_options_cuda.cpp
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${TORCH_API_TEST_DIR}/tensor_options.cpp
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${TORCH_API_TEST_DIR}/tensor.cpp
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${TORCH_API_TEST_DIR}/torch_include.cpp
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${TORCH_API_TEST_DIR}/inference_mode.cpp
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${TORCH_API_TEST_DIR}/grad_mode.cpp
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)
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if(USE_DEPLOY)
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list(APPEND TORCH_API_TEST_SOURCES ${TORCH_API_TEST_DIR}/imethod.cpp)
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endif()
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if(USE_CUDA)
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list(APPEND TORCH_API_TEST_SOURCES ${TORCH_API_TEST_DIR}/parallel.cpp)
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endif()
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add_executable(test_api ${TORCH_API_TEST_SOURCES})
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target_include_directories(test_api PRIVATE ${ATen_CPU_INCLUDE})
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target_link_libraries(test_api PRIVATE torch gtest)
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if(USE_CUDA)
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target_link_libraries(test_api PRIVATE
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${CUDA_LIBRARIES}
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${CUDA_NVRTC_LIB}
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${CUDA_CUDA_LIB}
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${TORCH_CUDA_LIBRARIES})
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target_compile_definitions(test_api PRIVATE "USE_CUDA")
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endif()
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if(USE_DEPLOY)
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target_link_libraries(test_api PRIVATE torch_deploy)
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endif()
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# Workaround for https://github.com/pytorch/pytorch/issues/40941
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if(USE_OPENMP AND CMAKE_COMPILER_IS_GNUCXX AND (CMAKE_CXX_COMPILER_VERSION VERSION_LESS 8.0.0))
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# Compiling transformer.cpp or pow_test.cpp with -O2+ and both -fuse-openmp and -faligned-newout any optimization
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# Fails with internal compiler error in gcc-7.5 or older
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# Workaround by compiling the tests without openmp (which they are not using anyway)
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set_property(TARGET test_api APPEND_STRING PROPERTY COMPILE_FLAGS "-fno-openmp")
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endif()
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if(NOT MSVC)
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if(APPLE)
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target_compile_options(test_api PRIVATE
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# Clang has an unfixed bug leading to spurious missing braces
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# warnings, see https://bugs.llvm.org/show_bug.cgi?id=21629
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-Wno-missing-braces)
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else()
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target_compile_options(test_api PRIVATE
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# Considered to be flaky. See the discussion at
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# https://github.com/pytorch/pytorch/pull/9608
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-Wno-maybe-uninitialized
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# gcc gives nonsensical warnings about variadic.h
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-Wno-unused-but-set-parameter)
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endif()
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endif()
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if(INSTALL_TEST)
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install(TARGETS test_api DESTINATION bin)
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# Install PDB files for MSVC builds
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if(MSVC AND BUILD_SHARED_LIBS)
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install(FILES $<TARGET_PDB_FILE:test_api> DESTINATION bin OPTIONAL)
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endif()
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endif()
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add_executable(parallel_benchmark ${TORCH_API_TEST_DIR}/parallel_benchmark.cpp)
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target_include_directories(parallel_benchmark PRIVATE ${ATen_CPU_INCLUDE})
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target_link_libraries(parallel_benchmark PRIVATE torch)
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