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# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
if(onnxruntime_DISABLE_CONTRIB_OPS)
message( FATAL_ERROR "To compile TensorRT execution provider contrib ops have to be enabled to dump an engine using com.microsoft:EPContext node." )
endif()
add_definitions(-DUSE_TENSORRT=1)
if (onnxruntime_TENSORRT_PLACEHOLDER_BUILDER)
add_definitions(-DORT_TENSORRT_PLACEHOLDER_BUILDER)
endif()
set(BUILD_LIBRARY_ONLY 1)
add_definitions("-DONNX_ML=1")
add_definitions("-DONNX_NAMESPACE=onnx")
set(CUDA_INCLUDE_DIRS ${CUDAToolkit_INCLUDE_DIRS})
set(TENSORRT_ROOT ${onnxruntime_TENSORRT_HOME})
set(OLD_CMAKE_CXX_FLAGS ${CMAKE_CXX_FLAGS})
set(PROTOBUF_LIBRARY ${PROTOBUF_LIB})
if (WIN32)
set(OLD_CMAKE_CUDA_FLAGS ${CMAKE_CUDA_FLAGS})
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /wd4099 /wd4551 /wd4505 /wd4515 /wd4706 /wd4456 /wd4324 /wd4701 /wd4804 /wd4702 /wd4458 /wd4703")
if (CMAKE_BUILD_TYPE STREQUAL "Debug")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /wd4805")
endif()
set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -include algorithm")
set(DISABLED_WARNINGS_FOR_TRT /wd4456)
endif()
if ( CMAKE_COMPILER_IS_GNUCC )
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-unused-parameter -Wno-missing-field-initializers")
endif()
set(CXX_VERSION_DEFINED TRUE)
# There is an issue when running "Debug build" TRT EP with "Release build" TRT builtin parser on Windows.
# We enforce following workaround for now until the real fix.
if (WIN32 AND CMAKE_BUILD_TYPE STREQUAL "Debug")
set(onnxruntime_USE_TENSORRT_BUILTIN_PARSER OFF)
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.")
endif()
find_path(TENSORRT_INCLUDE_DIR NvInfer.h
HINTS ${TENSORRT_ROOT}
PATH_SUFFIXES include)
file(READ ${TENSORRT_INCLUDE_DIR}/NvInferVersion.h NVINFER_VER_CONTENT)
string(REGEX MATCH "define NV_TENSORRT_MAJOR * +([0-9]+)" NV_TENSORRT_MAJOR "${NVINFER_VER_CONTENT}")
string(REGEX REPLACE "define NV_TENSORRT_MAJOR * +([0-9]+)" "\\1" NV_TENSORRT_MAJOR "${NV_TENSORRT_MAJOR}")
string(REGEX MATCH "define NV_TENSORRT_MINOR * +([0-9]+)" NV_TENSORRT_MINOR "${NVINFER_VER_CONTENT}")
string(REGEX REPLACE "define NV_TENSORRT_MINOR * +([0-9]+)" "\\1" NV_TENSORRT_MINOR "${NV_TENSORRT_MINOR}")
string(REGEX MATCH "define NV_TENSORRT_PATCH * +([0-9]+)" NV_TENSORRT_PATCH "${NVINFER_VER_CONTENT}")
string(REGEX REPLACE "define NV_TENSORRT_PATCH * +([0-9]+)" "\\1" NV_TENSORRT_PATCH "${NV_TENSORRT_PATCH}")
math(EXPR NV_TENSORRT_MAJOR_INT "${NV_TENSORRT_MAJOR}")
math(EXPR NV_TENSORRT_MINOR_INT "${NV_TENSORRT_MINOR}")
math(EXPR NV_TENSORRT_PATCH_INT "${NV_TENSORRT_PATCH}")
if (NV_TENSORRT_MAJOR)
MESSAGE(STATUS "NV_TENSORRT_MAJOR is ${NV_TENSORRT_MAJOR}")
else()
MESSAGE(STATUS "Can't find NV_TENSORRT_MAJOR macro")
endif()
# Check TRT version >= 10.0.1.6
if ((NV_TENSORRT_MAJOR_INT GREATER 10) OR
(NV_TENSORRT_MAJOR_INT EQUAL 10 AND NV_TENSORRT_MINOR_INT GREATER 0) OR
(NV_TENSORRT_MAJOR_INT EQUAL 10 AND NV_TENSORRT_PATCH_INT GREATER 0))
set(TRT_GREATER_OR_EQUAL_TRT_10_GA ON)
endif()
# TensorRT 10 GA onwards, the TensorRT libraries will have major version appended to the end on Windows,
# for example, nvinfer_10.dll, nvinfer_plugin_10.dll, nvonnxparser_10.dll ...
if (WIN32 AND TRT_GREATER_OR_EQUAL_TRT_10_GA)
set(NVINFER_LIB "nvinfer_${NV_TENSORRT_MAJOR}")
set(NVINFER_PLUGIN_LIB "nvinfer_plugin_${NV_TENSORRT_MAJOR}")
set(PARSER_LIB "nvonnxparser_${NV_TENSORRT_MAJOR}")
endif()
if (NOT NVINFER_LIB)
set(NVINFER_LIB "nvinfer")
endif()
if (NOT NVINFER_PLUGIN_LIB)
set(NVINFER_PLUGIN_LIB "nvinfer_plugin")
endif()
if (NOT PARSER_LIB)
set(PARSER_LIB "nvonnxparser")
endif()
MESSAGE(STATUS "Looking for ${NVINFER_LIB} and ${NVINFER_PLUGIN_LIB}")
find_library(TENSORRT_LIBRARY_INFER ${NVINFER_LIB}
HINTS ${TENSORRT_ROOT}
PATH_SUFFIXES lib lib64 lib/x64)
if (NOT TENSORRT_LIBRARY_INFER)
MESSAGE(STATUS "Can't find ${NVINFER_LIB}")
endif()
find_library(TENSORRT_LIBRARY_INFER_PLUGIN ${NVINFER_PLUGIN_LIB}
HINTS ${TENSORRT_ROOT}
PATH_SUFFIXES lib lib64 lib/x64)
if (NOT TENSORRT_LIBRARY_INFER_PLUGIN)
MESSAGE(STATUS "Can't find ${NVINFER_PLUGIN_LIB}")
endif()
if (onnxruntime_USE_TENSORRT_BUILTIN_PARSER)
MESSAGE(STATUS "Looking for ${PARSER_LIB}")
find_library(TENSORRT_LIBRARY_NVONNXPARSER ${PARSER_LIB}
HINTS ${TENSORRT_ROOT}
PATH_SUFFIXES lib lib64 lib/x64)
if (NOT TENSORRT_LIBRARY_NVONNXPARSER)
MESSAGE(STATUS "Can't find ${PARSER_LIB}")
endif()
set(TENSORRT_LIBRARY ${TENSORRT_LIBRARY_INFER} ${TENSORRT_LIBRARY_INFER_PLUGIN} ${TENSORRT_LIBRARY_NVONNXPARSER})
MESSAGE(STATUS "Find TensorRT libs at ${TENSORRT_LIBRARY}")
else()
if (TRT_GREATER_OR_EQUAL_TRT_10_GA)
set(ONNX_USE_LITE_PROTO ON)
endif()
onnxruntime_fetchcontent_declare(
onnx_tensorrt
URL ${DEP_URL_onnx_tensorrt}
URL_HASH SHA1=${DEP_SHA1_onnx_tensorrt}
EXCLUDE_FROM_ALL
)
if (NOT CUDA_INCLUDE_DIR)
set(CUDA_INCLUDE_DIR ${CUDAToolkit_INCLUDE_DIRS}) # onnx-tensorrt repo needs this variable to build
endif()
# The onnx_tensorrt repo contains a test program, getSupportedAPITest, which doesn't support Windows. It uses
# unistd.h. So we must exclude it from our build. onnxruntime_fetchcontent_makeavailable is for the purpose.
onnxruntime_fetchcontent_makeavailable(onnx_tensorrt)
include_directories(${onnx_tensorrt_SOURCE_DIR})
set(CMAKE_CXX_FLAGS ${OLD_CMAKE_CXX_FLAGS})
if ( CMAKE_COMPILER_IS_GNUCC )
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-unused-parameter")
endif()
if (WIN32)
set(CMAKE_CUDA_FLAGS ${OLD_CMAKE_CUDA_FLAGS})
unset(PROTOBUF_LIBRARY)
unset(OLD_CMAKE_CXX_FLAGS)
unset(OLD_CMAKE_CUDA_FLAGS)
set_target_properties(${PARSER_LIB} PROPERTIES LINK_FLAGS "/ignore:4199")
target_compile_options(nvonnxparser_static PRIVATE /FIio.h /wd4100)
target_compile_options(${PARSER_LIB} PRIVATE /FIio.h /wd4100)
endif()
# Static libraries are just nvonnxparser_static on all platforms
set(onnxparser_link_libs nvonnxparser_static)
set(TENSORRT_LIBRARY ${TENSORRT_LIBRARY_INFER} ${TENSORRT_LIBRARY_INFER_PLUGIN})
MESSAGE(STATUS "Find TensorRT libs at ${TENSORRT_LIBRARY}")
endif()
include_directories(${TENSORRT_INCLUDE_DIR})
# ${TENSORRT_LIBRARY} is empty if we link nvonnxparser_static.
# nvonnxparser_static is linked against tensorrt libraries in onnx-tensorrt
# See https://github.com/onnx/onnx-tensorrt/blob/8af13d1b106f58df1e98945a5e7c851ddb5f0791/CMakeLists.txt#L121
# However, starting from TRT 10 GA, nvonnxparser_static doesn't link against tensorrt libraries.
# Therefore, the above code finds ${TENSORRT_LIBRARY_INFER} and ${TENSORRT_LIBRARY_INFER_PLUGIN}.
if(onnxruntime_CUDA_MINIMAL)
set(trt_link_libs ${CMAKE_DL_LIBS} ${TENSORRT_LIBRARY})
else()
set(trt_link_libs CUDNN::cudnn_all cublas ${CMAKE_DL_LIBS} ${TENSORRT_LIBRARY})
endif()
file(GLOB_RECURSE onnxruntime_providers_tensorrt_cc_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/core/providers/tensorrt/*.h"
"${ONNXRUNTIME_ROOT}/core/providers/tensorrt/*.cc"
"${ONNXRUNTIME_ROOT}/core/providers/shared_library/*.h"
"${ONNXRUNTIME_ROOT}/core/providers/shared_library/*.cc"
"${ONNXRUNTIME_ROOT}/core/providers/cuda/cuda_stream_handle.h"
"${ONNXRUNTIME_ROOT}/core/providers/cuda/cuda_stream_handle.cc"
"${ONNXRUNTIME_ROOT}/core/providers/cuda/cuda_graph.h"
"${ONNXRUNTIME_ROOT}/core/providers/cuda/cuda_graph.cc"
)
source_group(TREE ${ONNXRUNTIME_ROOT}/core FILES ${onnxruntime_providers_tensorrt_cc_srcs})
onnxruntime_add_shared_library_module(onnxruntime_providers_tensorrt ${onnxruntime_providers_tensorrt_cc_srcs})
onnxruntime_add_include_to_target(onnxruntime_providers_tensorrt onnxruntime_common)
target_link_libraries(onnxruntime_providers_tensorrt PRIVATE Eigen3::Eigen onnx flatbuffers::flatbuffers Boost::mp11 safeint_interface Eigen3::Eigen)
add_dependencies(onnxruntime_providers_tensorrt onnxruntime_providers_shared ${onnxruntime_EXTERNAL_DEPENDENCIES})
if (onnxruntime_USE_TENSORRT_BUILTIN_PARSER)
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)
else()
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)
endif()
target_include_directories(onnxruntime_providers_tensorrt PRIVATE ${ONNXRUNTIME_ROOT} ${CMAKE_CURRENT_BINARY_DIR}
PUBLIC ${CUDAToolkit_INCLUDE_DIRS})
# ${CMAKE_CURRENT_BINARY_DIR} is so that #include "onnxruntime_config.h" inside tensor_shape.h is found
set_target_properties(onnxruntime_providers_tensorrt PROPERTIES LINKER_LANGUAGE CUDA)
set_target_properties(onnxruntime_providers_tensorrt PROPERTIES FOLDER "ONNXRuntime")
target_compile_definitions(onnxruntime_providers_tensorrt PRIVATE ONNXIFI_BUILD_LIBRARY=1)
target_compile_options(onnxruntime_providers_tensorrt PRIVATE ${DISABLED_WARNINGS_FOR_TRT})
if (WIN32)
target_compile_options(onnxruntime_providers_tensorrt INTERFACE /wd4456)
endif()
if(onnxruntime_CUDA_MINIMAL)
target_compile_definitions(onnxruntime_providers_tensorrt PRIVATE USE_CUDA_MINIMAL=1)
endif()
# Needed for the provider interface, as it includes training headers when training is enabled
if (onnxruntime_ENABLE_TRAINING_OPS)
target_include_directories(onnxruntime_providers_tensorrt PRIVATE ${ORTTRAINING_ROOT})
if (onnxruntime_ENABLE_TRAINING_TORCH_INTEROP)
onnxruntime_add_include_to_target(onnxruntime_providers_tensorrt Python::Module)
endif()
endif()
if(APPLE)
set_property(TARGET onnxruntime_providers_tensorrt APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker -exported_symbols_list ${ONNXRUNTIME_ROOT}/core/providers/tensorrt/exported_symbols.lst")
elseif(UNIX)
set_property(TARGET onnxruntime_providers_tensorrt APPEND_STRING PROPERTY COMPILE_FLAGS "-Wno-deprecated-declarations")
set_property(TARGET onnxruntime_providers_tensorrt APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker --version-script=${ONNXRUNTIME_ROOT}/core/providers/tensorrt/version_script.lds -Xlinker --gc-sections")
elseif(WIN32)
set_property(TARGET onnxruntime_providers_tensorrt APPEND_STRING PROPERTY LINK_FLAGS "-DEF:${ONNXRUNTIME_ROOT}/core/providers/tensorrt/symbols.def")
else()
message(FATAL_ERROR "onnxruntime_providers_tensorrt unknown platform, need to specify shared library exports for it")
endif()
install(TARGETS onnxruntime_providers_tensorrt
ARCHIVE DESTINATION ${CMAKE_INSTALL_LIBDIR}
LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR}
RUNTIME DESTINATION ${CMAKE_INSTALL_BINDIR})
|
