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CMakeLists.txt
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CMakeLists.txt
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# This file used to build libtorch.so.
# Now it only builds the Torch python bindings.
if(NOT CAFFE2_CMAKE_BUILDING_WITH_MAIN_REPO)
cmake_minimum_required(VERSION 3.18 FATAL_ERROR)
project(torch CXX C)
find_package(torch REQUIRED)
option(USE_CUDA "Use CUDA" ON)
set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
endif()
if(NOT BUILD_PYTHON)
return()
endif()
set(TORCH_SRC_DIR "${CMAKE_CURRENT_SOURCE_DIR}")
set(TORCH_ROOT "${TORCH_SRC_DIR}/..")
if(NOT TORCH_INSTALL_LIB_DIR)
set(TORCH_INSTALL_LIB_DIR lib)
endif()
if(MSVC)
set(LIBSHM_SUBDIR libshm_windows)
else()
set(LIBSHM_SUBDIR libshm)
endif()
set(LIBSHM_SRCDIR ${TORCH_SRC_DIR}/lib/${LIBSHM_SUBDIR})
add_subdirectory(${LIBSHM_SRCDIR})
# Generate files
set(TOOLS_PATH "${TORCH_ROOT}/tools")
set(TORCH_PYTHON_SRCS
${GENERATED_THNN_CXX}
${GENERATED_CXX_PYTHON}
)
append_filelist("libtorch_python_core_sources" TORCH_PYTHON_SRCS)
# NB: This has to match the condition under which the JIT test directory
# is included (at the time of writing that's in caffe2/CMakeLists.txt).
if(BUILD_TEST)
add_definitions(-DBUILDING_TESTS)
list(APPEND TORCH_PYTHON_SRCS
${TORCH_ROOT}/test/cpp/jit/torch_python_test.cpp
)
endif()
set(TORCH_PYTHON_INCLUDE_DIRECTORIES
${PYTHON_INCLUDE_DIR}
${TORCH_ROOT}
${TORCH_ROOT}/aten/src
${TORCH_ROOT}/aten/src/TH
${CMAKE_BINARY_DIR}
${CMAKE_BINARY_DIR}/aten/src
${CMAKE_BINARY_DIR}/caffe2/aten/src
${CMAKE_BINARY_DIR}/third_party
${CMAKE_BINARY_DIR}/third_party/onnx
${TORCH_ROOT}/third_party/valgrind-headers
${TORCH_ROOT}/third_party/gloo
${TORCH_ROOT}/third_party/onnx
${TORCH_ROOT}/third_party/flatbuffers/include
${TORCH_ROOT}/third_party/kineto/libkineto/include
${TORCH_SRC_DIR}/csrc
${TORCH_SRC_DIR}/csrc/api/include
${TORCH_SRC_DIR}/lib
)
list(APPEND TORCH_PYTHON_INCLUDE_DIRECTORIES ${LIBSHM_SRCDIR})
set(TORCH_PYTHON_LINK_LIBRARIES
python::python
pybind::pybind11
shm
fmt::fmt-header-only
ATEN_CPU_FILES_GEN_LIB)
if(USE_ASAN AND TARGET Sanitizer::address)
list(APPEND TORCH_PYTHON_LINK_LIBRARIES Sanitizer::address)
endif()
if(USE_ASAN AND TARGET Sanitizer::undefined)
list(APPEND TORCH_PYTHON_LINK_LIBRARIES Sanitizer::undefined)
endif()
if(USE_TSAN AND TARGET Sanitizer::thread)
list(APPEND TORCH_PYTHON_LINK_LIBRARIES Sanitizer::thread)
endif()
set(TORCH_PYTHON_COMPILE_DEFINITIONS)
set(TORCH_PYTHON_COMPILE_OPTIONS)
set(TORCH_PYTHON_LINK_FLAGS "")
if(MSVC)
string(APPEND TORCH_PYTHON_LINK_FLAGS " /NODEFAULTLIB:LIBCMT.LIB")
list(APPEND TORCH_PYTHON_LINK_LIBRARIES ${PYTHON_LIBRARIES} onnx_library)
if(NOT CMAKE_BUILD_TYPE MATCHES "Release")
string(APPEND TORCH_PYTHON_LINK_FLAGS " /DEBUG:FULL")
endif()
elseif(APPLE)
string(APPEND TORCH_PYTHON_LINK_FLAGS " -undefined dynamic_lookup")
else()
list(APPEND TORCH_PYTHON_COMPILE_OPTIONS
-fno-strict-aliasing
-Wno-strict-aliasing)
endif()
if(USE_ITT)
list(APPEND TORCH_PYTHON_SRCS
${TORCH_SRC_DIR}/csrc/itt.cpp
)
list(APPEND TORCH_PYTHON_COMPILE_DEFINITIONS USE_ITT)
endif()
if(USE_CUDA)
include(${TORCH_ROOT}/cmake/public/cuda.cmake)
append_filelist("libtorch_python_cuda_core_sources" TORCH_PYTHON_SRCS)
list(APPEND TORCH_PYTHON_SRCS ${GENERATED_THNN_CXX_CUDA})
list(APPEND TORCH_PYTHON_COMPILE_DEFINITIONS USE_CUDA)
if(USE_CUDNN)
list(APPEND TORCH_PYTHON_LINK_LIBRARIES torch::cudnn)
list(APPEND TORCH_PYTHON_COMPILE_DEFINITIONS USE_CUDNN)
endif()
list(APPEND TORCH_PYTHON_LINK_LIBRARIES torch::nvtoolsext)
endif()
if(USE_ROCM)
append_filelist("libtorch_python_cuda_core_sources" TORCH_PYTHON_SRCS)
list(APPEND TORCH_PYTHON_SRCS ${GENERATED_THNN_CXX_CUDA})
list(APPEND TORCH_PYTHON_COMPILE_DEFINITIONS
USE_ROCM
__HIP_PLATFORM_AMD__
)
list(APPEND TORCH_PYTHON_LINK_LIBRARIES ${ROCM_ROCTX_LIB})
endif()
if(USE_EXPERIMENTAL_CUDNN_V8_API)
list(APPEND TORCH_PYTHON_COMPILE_DEFINITIONS USE_EXPERIMENTAL_CUDNN_V8_API)
endif()
if(USE_CUDNN OR USE_ROCM)
list(APPEND TORCH_PYTHON_SRCS
${TORCH_SRC_DIR}/csrc/cuda/shared/cudnn.cpp
)
if(USE_STATIC_CUDNN)
set_source_files_properties(
${TORCH_SRC_DIR}/csrc/cuda/shared/cudnn.cpp
PROPERTIES COMPILE_DEFINITIONS "USE_STATIC_CUDNN"
)
endif()
endif()
if(USE_MPS)
list(APPEND TORCH_PYTHON_SRCS ${MPS_PYTHON_SRCS})
endif()
if(USE_VALGRIND AND NOT WIN32)
list(APPEND TORCH_PYTHON_COMPILE_DEFINITIONS USE_VALGRIND)
endif()
# In the most recent CMake versions, a new 'TRANSFORM' subcommand of 'list' allows much of the boilerplate of defining the lists
# of type stub files to be omitted.
# For compatibility with older CMake versions, we omit it for now, but leave it as a comment in case compatibility with the older
# CMake versions is eventually dropped.
# set(Modules
# __init__
# activation
# adaptive
# batchnorm
# container
# conv
# distance
# dropout
# fold
# instancenorm
# linear
# loss
# module
# normalization
# padding
# pixelshuffle
# pooling
# rnn
# sparse
# upsampling
# )
# list(TRANSFORM Modules PREPEND "${TORCH_SRC_DIR}/nn/modules/")
add_custom_target(torch_python_stubs DEPENDS
"${TORCH_SRC_DIR}/_C/__init__.pyi"
"${TORCH_SRC_DIR}/_C/_VariableFunctions.pyi"
"${TORCH_SRC_DIR}/nn/functional.pyi"
"${TORCH_SRC_DIR}/utils/data/datapipes/datapipe.pyi"
)
file(GLOB_RECURSE torchgen_python "${PROJECT_SOURCE_DIR}/torchgen/*.py")
file(GLOB_RECURSE autograd_python "${TOOLS_PATH}/autograd/*.py")
file(GLOB_RECURSE pyi_python "${TOOLS_PATH}/pyi/*.py")
add_custom_command(
OUTPUT
"${TORCH_SRC_DIR}/_C/__init__.pyi"
"${TORCH_SRC_DIR}/_C/_VariableFunctions.pyi"
"${TORCH_SRC_DIR}/nn/functional.pyi"
COMMAND
"${PYTHON_EXECUTABLE}" -mtools.pyi.gen_pyi
--native-functions-path "aten/src/ATen/native/native_functions.yaml"
--tags-path "aten/src/ATen/native/tags.yaml"
--deprecated-functions-path "tools/autograd/deprecated.yaml"
DEPENDS
"${TORCH_SRC_DIR}/_C/__init__.pyi.in"
"${TORCH_SRC_DIR}/_C/_VariableFunctions.pyi.in"
"${TORCH_SRC_DIR}/nn/functional.pyi.in"
"${TORCH_ROOT}/aten/src/ATen/native/native_functions.yaml"
"${TORCH_ROOT}/aten/src/ATen/native/tags.yaml"
"${TORCH_ROOT}/tools/autograd/deprecated.yaml"
${pyi_python}
${autograd_python}
${torchgen_python}
WORKING_DIRECTORY
"${TORCH_ROOT}"
)
file(GLOB_RECURSE datapipe_files "${TORCH_SRC_DIR}/utils/data/datapipes/*.py")
add_custom_command(
OUTPUT
"${TORCH_SRC_DIR}/utils/data/datapipes/datapipe.pyi"
COMMAND
"${PYTHON_EXECUTABLE}" ${TORCH_SRC_DIR}/utils/data/datapipes/gen_pyi.py
DEPENDS
"${TORCH_SRC_DIR}/utils/data/datapipes/datapipe.pyi.in"
${datapipe_files}
WORKING_DIRECTORY
"${TORCH_ROOT}"
)
if(USE_DISTRIBUTED)
if(WIN32)
append_filelist("libtorch_python_distributed_core_sources" TORCH_PYTHON_SRCS)
else()
append_filelist("libtorch_python_distributed_sources" TORCH_PYTHON_SRCS)
endif()
# Disable certain warnings for GCC-9.X
if(CMAKE_COMPILER_IS_GNUCXX)
set_source_files_properties(${TORCH_SRC_DIR}/csrc/distributed/autograd/init.cpp PROPERTIES COMPILE_FLAGS "-Wno-cast-function-type")
set_source_files_properties(${TORCH_SRC_DIR}/csrc/distributed/rpc/testing/init.cpp PROPERTIES COMPILE_FLAGS "-Wno-cast-function-type")
set_source_files_properties(${TORCH_SRC_DIR}/csrc/distributed/c10d/init.cpp PROPERTIES COMPILE_FLAGS "-Wno-cast-function-type")
endif()
# NCCL is a private dependency of libtorch, but libtorch_python includes
# some private headers of libtorch, which in turn include NCCL. As a hacky
# alternative to making NCCL a public dependency of libtorch, we make it
# a private dependency of libtorch_python as well.
if(USE_NCCL)
list(APPEND TORCH_PYTHON_LINK_LIBRARIES __caffe2_nccl)
endif()
# Same for MPI.
if(USE_MPI)
list(APPEND TORCH_PYTHON_LINK_LIBRARIES MPI::MPI_CXX)
endif()
list(APPEND TORCH_PYTHON_COMPILE_DEFINITIONS USE_C10D)
endif()
if(USE_NCCL AND NOT WIN32)
list(APPEND TORCH_PYTHON_SRCS
${TORCH_SRC_DIR}/csrc/cuda/python_nccl.cpp)
list(APPEND TORCH_PYTHON_COMPILE_DEFINITIONS USE_NCCL)
endif()
if(CMAKE_CXX_COMPILER_ID STREQUAL "GNU")
# Workaround for https://gcc.gnu.org/bugzilla/show_bug.cgi?id=80947 in EmbeddingBag.cpp
set_source_files_properties(${TORCH_SRC_DIR}/csrc/utils/throughput_benchmark.cpp PROPERTIES COMPILE_FLAGS -Wno-attributes)
endif()
if(NOT MSVC)
# cudaProfilerInitialize must go away
set_source_files_properties(${TORCH_SRC_DIR}/csrc/cuda/shared/cudart.cpp PROPERTIES COMPILE_FLAGS "-Wno-deprecated-declarations")
endif()
# coreml
if(USE_COREML_DELEGATE)
list(APPEND TORCH_PYTHON_SRCS ${TORCH_SRC_DIR}/csrc/jit/backends/coreml/cpp/backend.cpp)
list(APPEND TORCH_PYTHON_SRCS ${TORCH_SRC_DIR}/csrc/jit/backends/coreml/cpp/preprocess.cpp)
endif()
add_library(torch_python SHARED ${TORCH_PYTHON_SRCS})
# Avoid numpy for the DEPLOY build
if(USE_NUMPY)
target_link_libraries(torch_python PRIVATE numpy::numpy)
target_compile_definitions(torch_python PRIVATE USE_NUMPY)
endif()
if(HAVE_SOVERSION)
set_target_properties(torch_python PROPERTIES
VERSION ${TORCH_VERSION} SOVERSION ${TORCH_SOVERSION})
endif()
add_dependencies(torch_python torch_python_stubs)
add_dependencies(torch_python flatbuffers)
if(USE_PRECOMPILED_HEADERS)
target_precompile_headers(torch_python PRIVATE
"$<$<COMPILE_LANGUAGE:CXX>:ATen/ATen.h>")
endif()
# Required workaround for generated sources
# See https://samthursfield.wordpress.com/2015/11/21/cmake-dependencies-between-targets-and-files-and-custom-commands/#custom-commands-in-different-directories
add_dependencies(torch_python generate-torch-sources)
set_source_files_properties(
${GENERATED_THNN_SOURCES}
${GENERATED_CXX_PYTHON}
PROPERTIES GENERATED TRUE
)
# Disable certain warnings for GCC-9.X
if(CMAKE_COMPILER_IS_GNUCXX)
set_source_files_properties(${TORCH_SRC_DIR}/csrc/Module.cpp PROPERTIES COMPILE_FLAGS "-Wno-cast-function-type")
set_source_files_properties(${TORCH_SRC_DIR}/csrc/autograd/python_variable.cpp PROPERTIES COMPILE_FLAGS "-Wno-cast-function-type")
endif()
# Preserve CUDA_GENCODE flags
if(USE_CUDA)
torch_cuda_get_nvcc_gencode_flag(_ARCH_FLAGS)
set_source_files_properties(${TORCH_SRC_DIR}/csrc/cuda/Module.cpp PROPERTIES COMPILE_FLAGS "-DCUDA_ARCH_FLAGS=\"${_ARCH_FLAGS_readable}\"")
endif()
# Preserve HIP arch flags
if(USE_ROCM)
string(REPLACE ";" " " PYTORCH_ROCM_ARCH_readable "${PYTORCH_ROCM_ARCH}")
set_source_files_properties(${TORCH_SRC_DIR}/csrc/cuda/Module.cpp PROPERTIES COMPILE_FLAGS "-DCUDA_ARCH_FLAGS=\"${PYTORCH_ROCM_ARCH_readable}\"")
endif()
target_compile_definitions(torch_python PRIVATE "-DTHP_BUILD_MAIN_LIB")
target_link_libraries(torch_python PRIVATE torch_library ${TORCH_PYTHON_LINK_LIBRARIES})
target_compile_definitions(torch_python PRIVATE ${TORCH_PYTHON_COMPILE_DEFINITIONS})
target_compile_options(torch_python PRIVATE ${TORCH_PYTHON_COMPILE_OPTIONS})
target_include_directories(torch_python PUBLIC ${TORCH_PYTHON_INCLUDE_DIRECTORIES})
if(USE_UCC)
target_link_libraries(torch_python PRIVATE __caffe2_ucc)
target_compile_definitions(torch_python PRIVATE USE_UCC)
endif()
if(BUILD_ONEDNN_GRAPH)
target_compile_definitions(torch_python PRIVATE "-DBUILD_ONEDNN_GRAPH")
target_compile_definitions(torch_cpu PRIVATE "-DBUILD_ONEDNN_GRAPH")
endif()
if(NOT TORCH_PYTHON_LINK_FLAGS STREQUAL "")
set_target_properties(torch_python PROPERTIES LINK_FLAGS ${TORCH_PYTHON_LINK_FLAGS})
endif()
install(TARGETS torch_python DESTINATION "${TORCH_INSTALL_LIB_DIR}")
# Generate torch/version.py from the appropriate CMake cache variables.
if(${CMAKE_BUILD_TYPE} STREQUAL "Debug")
set(TORCH_VERSION_DEBUG 1)
else()
set(TORCH_VERSION_DEBUG 0)
endif()
add_custom_command(
OUTPUT ${TORCH_SRC_DIR}/version.py
COMMAND "${CMAKE_COMMAND}" -E touch "${TOOLS_PATH}/generate_torch_version.py"
COMMAND
"${PYTHON_EXECUTABLE}" "${TOOLS_PATH}/generate_torch_version.py"
--is-debug=${TORCH_VERSION_DEBUG}
--cuda-version=${CUDA_VERSION}
--hip-version=${HIP_VERSION}
DEPENDS ${TOOLS_PATH}/generate_torch_version.py
WORKING_DIRECTORY ${TORCH_ROOT}
)
add_custom_target(
gen_torch_version ALL
DEPENDS ${TORCH_SRC_DIR}/version.py
)
add_dependencies(torch_python gen_torch_version)
# Skip building this library under MacOS, since it is currently failing to build on Mac
# Github issue #61930
if(NOT ${CMAKE_SYSTEM_NAME} MATCHES "Darwin")
# Add Android Nnapi delegate library
add_library(nnapi_backend SHARED
${TORCH_SRC_DIR}/csrc/jit/backends/nnapi/nnapi_backend_lib.cpp
${TORCH_SRC_DIR}/csrc/jit/backends/nnapi/nnapi_backend_preprocess.cpp
)
# Pybind11 requires explicit linking of the torch_python library
target_link_libraries(nnapi_backend PRIVATE torch torch_python pybind::pybind11)
endif()
set(TORCH_PYTHON_COMPILE_OPTIONS ${TORCH_PYTHON_COMPILE_OPTIONS} PARENT_SCOPE)
set(TORCH_PYTHON_LINK_FLAGS ${TORCH_PYTHON_LINK_FLAGS} PARENT_SCOPE)