onnxruntime/cmake/onnxruntime_session.cmake

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2018-11-20 00:48:22 +00:00
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
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file(GLOB onnxruntime_session_srcs CONFIGURE_DEPENDS
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"${ONNXRUNTIME_INCLUDE_DIR}/core/session/*.h"
"${ONNXRUNTIME_ROOT}/core/session/*.h"
"${ONNXRUNTIME_ROOT}/core/session/*.cc"
)
if (onnxruntime_ENABLE_TRAINING_ON_DEVICE)
file(GLOB_RECURSE on_device_training_api_srcs CONFIGURE_DEPENDS
"${ORTTRAINING_SOURCE_DIR}/training_api/*.cc"
)
list(APPEND onnxruntime_session_srcs ${on_device_training_api_srcs})
endif()
if (onnxruntime_MINIMAL_BUILD)
set(onnxruntime_session_src_exclude
"${ONNXRUNTIME_ROOT}/core/session/provider_bridge_ort.cc"
)
list(REMOVE_ITEM onnxruntime_session_srcs ${onnxruntime_session_src_exclude})
endif()
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source_group(TREE ${REPO_ROOT} FILES ${onnxruntime_session_srcs})
onnxruntime_add_static_library(onnxruntime_session ${onnxruntime_session_srcs})
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install(DIRECTORY ${PROJECT_SOURCE_DIR}/../include/onnxruntime/core/session DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/onnxruntime/core)
Update manylinux build scripts and GPU CUDA version from 11.0 to 11.1 (#7632) 1. Update manylinux build scripts. This will add [PEP600](https://www.python.org/dev/peps/pep-0600/)(manylinux2 tags) support. numpy has adopted this new feature, we should do the same. The old build script files were copied from https://github.com/pypa/manylinux, but they has been deleted and replaced in the upstream repo. The manylinux repo doesn't have a manylinux2014 branch anymore. So I'm removing the obsolete code, sync the files with the latest master. 2. Update GPU CUDA version from 11.0 to 11.1(after a discussion with PMs). 3. Delete tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cuda10_2. (Merged the content to tools/ci_build/github/linux/docker/Dockerfile.manylinux2014_cuda11) 4. Modernize the cmake code of how to locate python devel files. It was suggested in https://github.com/onnx/onnx/pull/1631 . 5. Remove `onnxruntime_MSVC_STATIC_RUNTIME` and `onnxruntime_GCC_STATIC_CPP_RUNTIME` build options. Now cmake has builtin support for it. Starting from cmake 3.15, we can use `CMAKE_MSVC_RUNTIME_LIBRARY` cmake variable to choose which MSVC runtime library we want to use. 6. Update Ubuntu docker images that used in our CI build from Ubuntu 18.04 to Ubuntu 20.04. 7. Update GCC version in CUDA 11.1 pipelines from 8.x to 9.3.1 8. Split Linux GPU CI pipeline to two jobs: build the code on a CPU machine then run the tests on another GPU machines. In the past we didn't test our python packages. We only tested the pre-packed files. So we didn't catch the rpath issue in CI build. 9. Add a CentOS machine pool and test our Linux GPU build on real CentOS machines. 10. Rework ARM64 Linux GPU python packaging pipeline. Previously it uses cross-compiling therefore we must static link to C Runtime. But now have pluggable EP API and it doesn't support static link. So I changed to use qemu emulation instead. Now the build is 10x slower than before. But it is more extensible.
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onnxruntime_add_include_to_target(onnxruntime_session onnxruntime_common onnxruntime_framework onnx onnx_proto ${PROTOBUF_LIB} flatbuffers)
if(onnxruntime_ENABLE_INSTRUMENT)
target_compile_definitions(onnxruntime_session PUBLIC ONNXRUNTIME_ENABLE_INSTRUMENT)
endif()
if(NOT MSVC)
set_source_files_properties(${ONNXRUNTIME_ROOT}/core/session/environment.cc PROPERTIES COMPILE_FLAGS "-Wno-parentheses")
endif()
target_include_directories(onnxruntime_session PRIVATE ${ONNXRUNTIME_ROOT} ${eigen_INCLUDE_DIRS})
target_link_libraries(onnxruntime_session PRIVATE nlohmann_json::nlohmann_json)
if (onnxruntime_USE_EXTENSIONS)
target_link_libraries(onnxruntime_session PRIVATE onnxruntime_extensions)
endif()
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add_dependencies(onnxruntime_session ${onnxruntime_EXTERNAL_DEPENDENCIES})
set_target_properties(onnxruntime_session PROPERTIES FOLDER "ONNXRuntime")
if (onnxruntime_USE_CUDA)
target_include_directories(onnxruntime_session PRIVATE ${onnxruntime_CUDNN_HOME}/include ${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES})
endif()
if (onnxruntime_USE_ROCM)
target_compile_options(onnxruntime_session PRIVATE -Wno-sign-compare -D__HIP_PLATFORM_HCC__=1)
target_include_directories(onnxruntime_session PRIVATE ${onnxruntime_ROCM_HOME}/hipfft/include ${onnxruntime_ROCM_HOME}/include ${onnxruntime_ROCM_HOME}/hipcub/include ${onnxruntime_ROCM_HOME}/hiprand/include ${onnxruntime_ROCM_HOME}/rocrand/include)
# ROCM provider sources are generated, need to add include directory for generated headers
target_include_directories(onnxruntime_session PRIVATE ${CMAKE_CURRENT_BINARY_DIR}/amdgpu/onnxruntime ${CMAKE_CURRENT_BINARY_DIR}/amdgpu/orttraining)
endif()
if (onnxruntime_ENABLE_TRAINING OR onnxruntime_ENABLE_TRAINING_OPS)
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target_include_directories(onnxruntime_session PRIVATE ${ORTTRAINING_ROOT})
endif()
if (onnxruntime_ENABLE_TRAINING_TORCH_INTEROP)
onnxruntime_add_include_to_target(onnxruntime_session Python::Module)
endif()
if (NOT onnxruntime_BUILD_SHARED_LIB)
install(TARGETS onnxruntime_session
ARCHIVE DESTINATION ${CMAKE_INSTALL_LIBDIR}
LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR}
RUNTIME DESTINATION ${CMAKE_INSTALL_BINDIR}
FRAMEWORK DESTINATION ${CMAKE_INSTALL_BINDIR})
endif()