mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-05-14 20:48:00 +00:00
### Description 1. Enable VCPKG flag in Windows CPU CI build pipelines. 2. Increased the min supported cmake version from 3.26 to 3.28. Because of it, drop the support for the old way of finding python by "find_package(PythonLibs)". Therefore, in build.py we no longer set "PYTHON_EXECUTABLE" cmake var when doing cmake configure. 3. Added "xnnpack-ep" as a feature for ORT's vcpkg config. 4. Added asset cache support for ORT's vcpkg build 5. Added VCPKG triplet files for Android build. 6. Set VCPKG triplet to "universal2-osx" if CMAKE_OSX_ARCHITECTURES was found in cmake extra defines. 7. Removed a small piece of code in build.py, which was for support CUDA version < 11.8. 8. Fixed an issue that CMAKE_OSX_ARCHITECTURES sometimes got specified twice when build.py invoked cmake. 9. Added more model tests to Android build. After this change, we will test all ONNX versions instead of just the latest one. 10. Fixed issues that are related to build.py's "--build_nuget" parameter. Also, enable the flag in most Windows CPU CI build jobs. 11. Removed a restriction in build.py that disallowed cross-compiling Windows ARM64 nuget package on Windows x86. ### Motivation and Context Adopt vcpkg.
222 lines
11 KiB
CMake
222 lines
11 KiB
CMake
# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License.
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if(onnxruntime_DISABLE_CONTRIB_OPS)
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message( FATAL_ERROR "To compile TensorRT execution provider contrib ops have to be enabled to dump an engine using com.microsoft:EPContext node." )
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endif()
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add_definitions(-DUSE_TENSORRT=1)
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if (onnxruntime_TENSORRT_PLACEHOLDER_BUILDER)
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add_definitions(-DORT_TENSORRT_PLACEHOLDER_BUILDER)
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endif()
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set(BUILD_LIBRARY_ONLY 1)
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add_definitions("-DONNX_ML=1")
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add_definitions("-DONNX_NAMESPACE=onnx")
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set(CUDA_INCLUDE_DIRS ${CUDAToolkit_INCLUDE_DIRS})
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set(TENSORRT_ROOT ${onnxruntime_TENSORRT_HOME})
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set(OLD_CMAKE_CXX_FLAGS ${CMAKE_CXX_FLAGS})
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set(PROTOBUF_LIBRARY ${PROTOBUF_LIB})
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if (WIN32)
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set(OLD_CMAKE_CUDA_FLAGS ${CMAKE_CUDA_FLAGS})
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /wd4099 /wd4551 /wd4505 /wd4515 /wd4706 /wd4456 /wd4324 /wd4701 /wd4804 /wd4702 /wd4458 /wd4703")
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if (CMAKE_BUILD_TYPE STREQUAL "Debug")
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /wd4805")
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endif()
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set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -include algorithm")
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set(DISABLED_WARNINGS_FOR_TRT /wd4456)
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endif()
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if ( CMAKE_COMPILER_IS_GNUCC )
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-unused-parameter -Wno-missing-field-initializers")
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endif()
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set(CXX_VERSION_DEFINED TRUE)
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# There is an issue when running "Debug build" TRT EP with "Release build" TRT builtin parser on Windows.
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# We enforce following workaround for now until the real fix.
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if (WIN32 AND CMAKE_BUILD_TYPE STREQUAL "Debug")
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set(onnxruntime_USE_TENSORRT_BUILTIN_PARSER OFF)
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MESSAGE(STATUS "[Note] There is an issue when running \"Debug build\" TRT EP with \"Release build\" TRT built-in parser on Windows. This build will use tensorrt oss parser instead.")
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endif()
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find_path(TENSORRT_INCLUDE_DIR NvInfer.h
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HINTS ${TENSORRT_ROOT}
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PATH_SUFFIXES include)
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file(READ ${TENSORRT_INCLUDE_DIR}/NvInferVersion.h NVINFER_VER_CONTENT)
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string(REGEX MATCH "define NV_TENSORRT_MAJOR * +([0-9]+)" NV_TENSORRT_MAJOR "${NVINFER_VER_CONTENT}")
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string(REGEX REPLACE "define NV_TENSORRT_MAJOR * +([0-9]+)" "\\1" NV_TENSORRT_MAJOR "${NV_TENSORRT_MAJOR}")
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string(REGEX MATCH "define NV_TENSORRT_MINOR * +([0-9]+)" NV_TENSORRT_MINOR "${NVINFER_VER_CONTENT}")
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string(REGEX REPLACE "define NV_TENSORRT_MINOR * +([0-9]+)" "\\1" NV_TENSORRT_MINOR "${NV_TENSORRT_MINOR}")
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string(REGEX MATCH "define NV_TENSORRT_PATCH * +([0-9]+)" NV_TENSORRT_PATCH "${NVINFER_VER_CONTENT}")
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string(REGEX REPLACE "define NV_TENSORRT_PATCH * +([0-9]+)" "\\1" NV_TENSORRT_PATCH "${NV_TENSORRT_PATCH}")
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math(EXPR NV_TENSORRT_MAJOR_INT "${NV_TENSORRT_MAJOR}")
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math(EXPR NV_TENSORRT_MINOR_INT "${NV_TENSORRT_MINOR}")
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math(EXPR NV_TENSORRT_PATCH_INT "${NV_TENSORRT_PATCH}")
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if (NV_TENSORRT_MAJOR)
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MESSAGE(STATUS "NV_TENSORRT_MAJOR is ${NV_TENSORRT_MAJOR}")
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else()
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MESSAGE(STATUS "Can't find NV_TENSORRT_MAJOR macro")
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endif()
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# Check TRT version >= 10.0.1.6
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if ((NV_TENSORRT_MAJOR_INT GREATER 10) OR
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(NV_TENSORRT_MAJOR_INT EQUAL 10 AND NV_TENSORRT_MINOR_INT GREATER 0) OR
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(NV_TENSORRT_MAJOR_INT EQUAL 10 AND NV_TENSORRT_PATCH_INT GREATER 0))
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set(TRT_GREATER_OR_EQUAL_TRT_10_GA ON)
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endif()
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# TensorRT 10 GA onwards, the TensorRT libraries will have major version appended to the end on Windows,
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# for example, nvinfer_10.dll, nvinfer_plugin_10.dll, nvonnxparser_10.dll ...
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if (WIN32 AND TRT_GREATER_OR_EQUAL_TRT_10_GA)
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set(NVINFER_LIB "nvinfer_${NV_TENSORRT_MAJOR}")
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set(NVINFER_PLUGIN_LIB "nvinfer_plugin_${NV_TENSORRT_MAJOR}")
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set(PARSER_LIB "nvonnxparser_${NV_TENSORRT_MAJOR}")
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endif()
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if (NOT NVINFER_LIB)
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set(NVINFER_LIB "nvinfer")
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endif()
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if (NOT NVINFER_PLUGIN_LIB)
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set(NVINFER_PLUGIN_LIB "nvinfer_plugin")
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endif()
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if (NOT PARSER_LIB)
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set(PARSER_LIB "nvonnxparser")
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endif()
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MESSAGE(STATUS "Looking for ${NVINFER_LIB} and ${NVINFER_PLUGIN_LIB}")
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find_library(TENSORRT_LIBRARY_INFER ${NVINFER_LIB}
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HINTS ${TENSORRT_ROOT}
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PATH_SUFFIXES lib lib64 lib/x64)
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if (NOT TENSORRT_LIBRARY_INFER)
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MESSAGE(STATUS "Can't find ${NVINFER_LIB}")
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endif()
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find_library(TENSORRT_LIBRARY_INFER_PLUGIN ${NVINFER_PLUGIN_LIB}
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HINTS ${TENSORRT_ROOT}
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PATH_SUFFIXES lib lib64 lib/x64)
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if (NOT TENSORRT_LIBRARY_INFER_PLUGIN)
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MESSAGE(STATUS "Can't find ${NVINFER_PLUGIN_LIB}")
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endif()
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if (onnxruntime_USE_TENSORRT_BUILTIN_PARSER)
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MESSAGE(STATUS "Looking for ${PARSER_LIB}")
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find_library(TENSORRT_LIBRARY_NVONNXPARSER ${PARSER_LIB}
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HINTS ${TENSORRT_ROOT}
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PATH_SUFFIXES lib lib64 lib/x64)
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if (NOT TENSORRT_LIBRARY_NVONNXPARSER)
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MESSAGE(STATUS "Can't find ${PARSER_LIB}")
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endif()
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set(TENSORRT_LIBRARY ${TENSORRT_LIBRARY_INFER} ${TENSORRT_LIBRARY_INFER_PLUGIN} ${TENSORRT_LIBRARY_NVONNXPARSER})
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MESSAGE(STATUS "Find TensorRT libs at ${TENSORRT_LIBRARY}")
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else()
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if (TRT_GREATER_OR_EQUAL_TRT_10_GA)
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set(ONNX_USE_LITE_PROTO ON)
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endif()
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onnxruntime_fetchcontent_declare(
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onnx_tensorrt
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URL ${DEP_URL_onnx_tensorrt}
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URL_HASH SHA1=${DEP_SHA1_onnx_tensorrt}
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EXCLUDE_FROM_ALL
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)
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if (NOT CUDA_INCLUDE_DIR)
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set(CUDA_INCLUDE_DIR ${CUDAToolkit_INCLUDE_DIRS}) # onnx-tensorrt repo needs this variable to build
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endif()
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# The onnx_tensorrt repo contains a test program, getSupportedAPITest, which doesn't support Windows. It uses
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# unistd.h. So we must exclude it from our build. onnxruntime_fetchcontent_makeavailable is for the purpose.
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onnxruntime_fetchcontent_makeavailable(onnx_tensorrt)
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include_directories(${onnx_tensorrt_SOURCE_DIR})
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set(CMAKE_CXX_FLAGS ${OLD_CMAKE_CXX_FLAGS})
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if ( CMAKE_COMPILER_IS_GNUCC )
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-unused-parameter")
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endif()
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if (WIN32)
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set(CMAKE_CUDA_FLAGS ${OLD_CMAKE_CUDA_FLAGS})
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unset(PROTOBUF_LIBRARY)
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unset(OLD_CMAKE_CXX_FLAGS)
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unset(OLD_CMAKE_CUDA_FLAGS)
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set_target_properties(${PARSER_LIB} PROPERTIES LINK_FLAGS "/ignore:4199")
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target_compile_options(nvonnxparser_static PRIVATE /FIio.h /wd4100)
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target_compile_options(${PARSER_LIB} PRIVATE /FIio.h /wd4100)
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endif()
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# Static libraries are just nvonnxparser_static on all platforms
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set(onnxparser_link_libs nvonnxparser_static)
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set(TENSORRT_LIBRARY ${TENSORRT_LIBRARY_INFER} ${TENSORRT_LIBRARY_INFER_PLUGIN})
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MESSAGE(STATUS "Find TensorRT libs at ${TENSORRT_LIBRARY}")
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endif()
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include_directories(${TENSORRT_INCLUDE_DIR})
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# ${TENSORRT_LIBRARY} is empty if we link nvonnxparser_static.
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# nvonnxparser_static is linked against tensorrt libraries in onnx-tensorrt
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# See https://github.com/onnx/onnx-tensorrt/blob/8af13d1b106f58df1e98945a5e7c851ddb5f0791/CMakeLists.txt#L121
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# However, starting from TRT 10 GA, nvonnxparser_static doesn't link against tensorrt libraries.
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# Therefore, the above code finds ${TENSORRT_LIBRARY_INFER} and ${TENSORRT_LIBRARY_INFER_PLUGIN}.
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if(onnxruntime_CUDA_MINIMAL)
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set(trt_link_libs ${CMAKE_DL_LIBS} ${TENSORRT_LIBRARY})
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else()
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set(trt_link_libs CUDNN::cudnn_all cublas ${CMAKE_DL_LIBS} ${TENSORRT_LIBRARY})
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endif()
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file(GLOB_RECURSE onnxruntime_providers_tensorrt_cc_srcs CONFIGURE_DEPENDS
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"${ONNXRUNTIME_ROOT}/core/providers/tensorrt/*.h"
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"${ONNXRUNTIME_ROOT}/core/providers/tensorrt/*.cc"
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"${ONNXRUNTIME_ROOT}/core/providers/shared_library/*.h"
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"${ONNXRUNTIME_ROOT}/core/providers/shared_library/*.cc"
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"${ONNXRUNTIME_ROOT}/core/providers/cuda/cuda_stream_handle.h"
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"${ONNXRUNTIME_ROOT}/core/providers/cuda/cuda_stream_handle.cc"
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"${ONNXRUNTIME_ROOT}/core/providers/cuda/cuda_graph.h"
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"${ONNXRUNTIME_ROOT}/core/providers/cuda/cuda_graph.cc"
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)
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source_group(TREE ${ONNXRUNTIME_ROOT}/core FILES ${onnxruntime_providers_tensorrt_cc_srcs})
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onnxruntime_add_shared_library_module(onnxruntime_providers_tensorrt ${onnxruntime_providers_tensorrt_cc_srcs})
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onnxruntime_add_include_to_target(onnxruntime_providers_tensorrt onnxruntime_common onnx flatbuffers::flatbuffers Boost::mp11 safeint_interface)
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add_dependencies(onnxruntime_providers_tensorrt onnxruntime_providers_shared ${onnxruntime_EXTERNAL_DEPENDENCIES})
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if (onnxruntime_USE_TENSORRT_BUILTIN_PARSER)
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target_link_libraries(onnxruntime_providers_tensorrt PRIVATE ${trt_link_libs} ${ONNXRUNTIME_PROVIDERS_SHARED} ${PROTOBUF_LIB} flatbuffers::flatbuffers Boost::mp11 safeint_interface ${ABSEIL_LIBS} PUBLIC CUDA::cudart)
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else()
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target_link_libraries(onnxruntime_providers_tensorrt PRIVATE ${onnxparser_link_libs} ${trt_link_libs} ${ONNXRUNTIME_PROVIDERS_SHARED} ${PROTOBUF_LIB} flatbuffers::flatbuffers ${ABSEIL_LIBS} PUBLIC CUDA::cudart)
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endif()
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target_include_directories(onnxruntime_providers_tensorrt PRIVATE ${ONNXRUNTIME_ROOT} ${CMAKE_CURRENT_BINARY_DIR} ${eigen_INCLUDE_DIRS}
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PUBLIC ${CUDAToolkit_INCLUDE_DIRS})
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# ${CMAKE_CURRENT_BINARY_DIR} is so that #include "onnxruntime_config.h" inside tensor_shape.h is found
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set_target_properties(onnxruntime_providers_tensorrt PROPERTIES LINKER_LANGUAGE CUDA)
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set_target_properties(onnxruntime_providers_tensorrt PROPERTIES FOLDER "ONNXRuntime")
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target_compile_definitions(onnxruntime_providers_tensorrt PRIVATE ONNXIFI_BUILD_LIBRARY=1)
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target_compile_options(onnxruntime_providers_tensorrt PRIVATE ${DISABLED_WARNINGS_FOR_TRT})
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if (WIN32)
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target_compile_options(onnxruntime_providers_tensorrt INTERFACE /wd4456)
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endif()
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if(onnxruntime_CUDA_MINIMAL)
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target_compile_definitions(onnxruntime_providers_tensorrt PRIVATE USE_CUDA_MINIMAL=1)
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endif()
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# Needed for the provider interface, as it includes training headers when training is enabled
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if (onnxruntime_ENABLE_TRAINING_OPS)
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target_include_directories(onnxruntime_providers_tensorrt PRIVATE ${ORTTRAINING_ROOT})
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if (onnxruntime_ENABLE_TRAINING_TORCH_INTEROP)
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onnxruntime_add_include_to_target(onnxruntime_providers_tensorrt Python::Module)
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endif()
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endif()
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if(APPLE)
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set_property(TARGET onnxruntime_providers_tensorrt APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker -exported_symbols_list ${ONNXRUNTIME_ROOT}/core/providers/tensorrt/exported_symbols.lst")
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elseif(UNIX)
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set_property(TARGET onnxruntime_providers_tensorrt APPEND_STRING PROPERTY COMPILE_FLAGS "-Wno-deprecated-declarations")
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set_property(TARGET onnxruntime_providers_tensorrt APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker --version-script=${ONNXRUNTIME_ROOT}/core/providers/tensorrt/version_script.lds -Xlinker --gc-sections")
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elseif(WIN32)
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set_property(TARGET onnxruntime_providers_tensorrt APPEND_STRING PROPERTY LINK_FLAGS "-DEF:${ONNXRUNTIME_ROOT}/core/providers/tensorrt/symbols.def")
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else()
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message(FATAL_ERROR "onnxruntime_providers_tensorrt unknown platform, need to specify shared library exports for it")
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endif()
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install(TARGETS onnxruntime_providers_tensorrt
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ARCHIVE DESTINATION ${CMAKE_INSTALL_LIBDIR}
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LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR}
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RUNTIME DESTINATION ${CMAKE_INSTALL_BINDIR})
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