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onnxruntime_providers.cmake
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# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
# Reduced ops build helpers
# In a reduced ops build, the reduction is performed by updating source files.
# Rather than modifying the source files directly, updated versions will be
# saved to another location in the build directory: ${op_reduction_root}.
set(op_reduction_root "${CMAKE_BINARY_DIR}/op_reduction.generated")
# This helper function replaces the relevant original source files with their
# updated, reduced ops versions in `all_srcs`.
function(substitute_op_reduction_srcs all_srcs)
# files that are potentially updated in a reduced ops build
set(original_srcs
"${ONNXRUNTIME_ROOT}/contrib_ops/cpu/cpu_contrib_kernels.cc"
"${ONNXRUNTIME_ROOT}/contrib_ops/cuda/cuda_contrib_kernels.cc"
"${ONNXRUNTIME_ROOT}/core/providers/cpu/cpu_execution_provider.cc"
"${ONNXRUNTIME_ROOT}/core/providers/cuda/cuda_execution_provider.cc"
"${ONNXRUNTIME_ROOT}/core/providers/op_kernel_type_control_overrides.inc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/cpu_training_kernels.cc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/cuda_training_kernels.cc"
)
set(replacement_srcs)
foreach(original_src ${original_srcs})
string(FIND "${${all_srcs}}" "${original_src}" idx)
if(idx EQUAL "-1")
continue()
endif()
file(RELATIVE_PATH src_relative_path "${REPO_ROOT}" "${original_src}")
set(replacement_src "${op_reduction_root}/${src_relative_path}")
message("File '${original_src}' substituted with reduced op version '${replacement_src}'.")
string(REPLACE "${original_src}" "${replacement_src}" ${all_srcs} "${${all_srcs}}")
list(APPEND replacement_srcs "${replacement_src}")
endforeach()
if(replacement_srcs)
source_group(TREE "${op_reduction_root}" PREFIX "op_reduction.generated" FILES ${replacement_srcs})
endif()
set(${all_srcs} "${${all_srcs}}" PARENT_SCOPE)
endfunction()
# This helper function adds reduced ops build-specific include directories to
# `target`.
function(add_op_reduction_include_dirs target)
set(op_reduction_include_dirs "${op_reduction_root}/onnxruntime")
if (onnxruntime_ENABLE_TRAINING_OPS)
list(APPEND op_reduction_include_dirs "${op_reduction_root}/orttraining")
endif()
# add include directories BEFORE so they are searched first, giving op reduction file paths precedence
target_include_directories(${target} BEFORE PRIVATE ${op_reduction_include_dirs})
endfunction()
file(GLOB_RECURSE onnxruntime_providers_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/core/providers/cpu/*.h"
"${ONNXRUNTIME_ROOT}/core/providers/cpu/*.cc"
)
if(onnxruntime_DISABLE_ML_OPS)
list(FILTER onnxruntime_providers_srcs EXCLUDE REGEX ".*/ml/.*")
endif()
file(GLOB_RECURSE onnxruntime_cpu_contrib_ops_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/contrib_ops/cpu/*.h"
"${ONNXRUNTIME_ROOT}/contrib_ops/cpu/*.cc"
)
file(GLOB_RECURSE onnxruntime_cuda_contrib_ops_cc_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/contrib_ops/cuda/*.h"
"${ONNXRUNTIME_ROOT}/contrib_ops/cuda/*.cc"
)
file(GLOB_RECURSE onnxruntime_cuda_contrib_ops_cu_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/contrib_ops/cuda/*.cu"
"${ONNXRUNTIME_ROOT}/contrib_ops/cuda/*.cuh"
)
file(GLOB_RECURSE onnxruntime_rocm_contrib_ops_cc_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/contrib_ops/rocm/*.h"
"${ONNXRUNTIME_ROOT}/contrib_ops/rocm/*.cc"
)
file(GLOB_RECURSE onnxruntime_rocm_contrib_ops_cu_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/contrib_ops/rocm/*.cu"
"${ONNXRUNTIME_ROOT}/contrib_ops/rocm/*.cuh"
)
file(GLOB onnxruntime_providers_common_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/core/providers/*.h"
"${ONNXRUNTIME_ROOT}/core/providers/*.cc"
"${ONNXRUNTIME_ROOT}/core/providers/op_kernel_type_control_overrides.inc"
)
if(onnxruntime_USE_VITISAI)
set(PROVIDERS_VITISAI onnxruntime_providers_vitisai)
endif()
if(onnxruntime_USE_CUDA)
set(PROVIDERS_CUDA onnxruntime_providers_cuda)
endif()
if(onnxruntime_USE_COREML)
if (CMAKE_SYSTEM_NAME STREQUAL "Darwin" OR CMAKE_SYSTEM_NAME STREQUAL "iOS")
set(PROVIDERS_COREML onnxruntime_providers_coreml onnxruntime_coreml_proto)
else()
set(PROVIDERS_COREML onnxruntime_providers_coreml)
endif()
endif()
if(onnxruntime_USE_NNAPI_BUILTIN)
set(PROVIDERS_NNAPI onnxruntime_providers_nnapi)
endif()
if(onnxruntime_USE_JSEP)
set(PROVIDERS_JS onnxruntime_providers_js)
endif()
if(onnxruntime_USE_QNN)
set(PROVIDERS_QNN onnxruntime_providers_qnn)
endif()
if(onnxruntime_USE_RKNPU)
set(PROVIDERS_RKNPU onnxruntime_providers_rknpu)
endif()
if(onnxruntime_USE_DML)
set(PROVIDERS_DML onnxruntime_providers_dml)
endif()
if(onnxruntime_USE_MIGRAPHX)
set(PROVIDERS_MIGRAPHX onnxruntime_providers_migraphx)
endif()
if(onnxruntime_USE_WINML)
set(PROVIDERS_WINML onnxruntime_providers_winml)
endif()
if(onnxruntime_USE_ACL)
set(PROVIDERS_ACL onnxruntime_providers_acl)
endif()
if(onnxruntime_USE_ARMNN)
set(PROVIDERS_ARMNN onnxruntime_providers_armnn)
endif()
if(onnxruntime_USE_ROCM)
set(PROVIDERS_ROCM onnxruntime_providers_rocm)
endif()
if (onnxruntime_USE_TVM)
set(PROVIDERS_TVM onnxruntime_providers_tvm)
endif()
if (onnxruntime_USE_XNNPACK)
set(PROVIDERS_XNNPACK onnxruntime_providers_xnnpack)
endif()
if(onnxruntime_USE_WEBNN)
set(PROVIDERS_WEBNN onnxruntime_providers_webnn)
endif()
if(onnxruntime_USE_SNPE)
include(onnxruntime_snpe_provider.cmake)
endif()
if (onnxruntime_USE_CANN)
set(PROVIDERS_CANN onnxruntime_providers_cann)
endif()
if (onnxruntime_USE_AZURE)
set(PROVIDERS_AZURE onnxruntime_providers_azure)
endif()
source_group(TREE ${ONNXRUNTIME_ROOT}/core FILES ${onnxruntime_providers_common_srcs} ${onnxruntime_providers_srcs})
set(onnxruntime_providers_src ${onnxruntime_providers_common_srcs} ${onnxruntime_providers_srcs})
# disable contrib ops conditionally
if(NOT onnxruntime_DISABLE_CONTRIB_OPS)
if (NOT onnxruntime_ENABLE_ATEN)
list(REMOVE_ITEM onnxruntime_cpu_contrib_ops_srcs
"${ONNXRUNTIME_ROOT}/contrib_ops/cpu/aten_ops/aten_op.h"
"${ONNXRUNTIME_ROOT}/contrib_ops/cpu/aten_ops/aten_op.cc"
"${ONNXRUNTIME_ROOT}/contrib_ops/cpu/aten_ops/aten_op_executor.cc"
)
endif()
# add using ONNXRUNTIME_ROOT so they show up under the 'contrib_ops' folder in Visual Studio
source_group(TREE ${ONNXRUNTIME_ROOT} FILES ${onnxruntime_cpu_contrib_ops_srcs})
list(APPEND onnxruntime_providers_src ${onnxruntime_cpu_contrib_ops_srcs})
endif()
if (onnxruntime_ENABLE_TRAINING_OPS AND NOT onnxruntime_ENABLE_TRAINING)
file(GLOB_RECURSE onnxruntime_cpu_training_ops_srcs CONFIGURE_DEPENDS
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/*.h"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/*.cc"
)
source_group(TREE ${ORTTRAINING_ROOT}/ FILES ${onnxruntime_cpu_training_ops_srcs})
list(APPEND onnxruntime_providers_src ${onnxruntime_cpu_training_ops_srcs})
file(GLOB_RECURSE onnxruntime_cpu_full_training_only_srcs
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/collective/*.cc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/collective/*.h"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/communication/*.cc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/communication/*.h"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/controlflow/record.cc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/controlflow/record.h"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/controlflow/wait.cc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/controlflow/wait.h"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/controlflow/yield.cc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/controlflow/yield.h"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/gist/*.cc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/gist/*.h"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/tensorboard/*.cc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/tensorboard/*.h"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/torch/*.cc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/torch/*.h"
)
list(REMOVE_ITEM onnxruntime_providers_src ${onnxruntime_cpu_full_training_only_srcs})
endif()
if (onnxruntime_ENABLE_ATEN)
file(GLOB_RECURSE onnxruntime_providers_dlpack_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/core/dlpack/dlpack_converter.cc"
"${ONNXRUNTIME_ROOT}/core/dlpack/dlpack_converter.h"
)
set(onnxruntime_providers_dlpack_srcs ${onnxruntime_providers_dlpack_srcs})
source_group(TREE ${ONNXRUNTIME_ROOT}/core FILES ${onnxruntime_providers_dlpack_srcs})
list(APPEND onnxruntime_providers_src ${onnxruntime_providers_dlpack_srcs})
endif()
if (onnxruntime_ENABLE_TRAINING)
file(GLOB_RECURSE onnxruntime_cpu_training_ops_srcs CONFIGURE_DEPENDS
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/*.h"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/*.cc"
"${ORTTRAINING_SOURCE_DIR}/core/framework/*.h"
"${ORTTRAINING_SOURCE_DIR}/core/framework/*.cc"
"${ORTTRAINING_SOURCE_DIR}/core/framework/adasum/*"
"${ORTTRAINING_SOURCE_DIR}/core/framework/communication/*"
)
# This is already built in framework.cmake
file(GLOB_RECURSE onnxruntime_training_framework_excude_srcs CONFIGURE_DEPENDS
"${ORTTRAINING_SOURCE_DIR}/core/framework/torch/*.h"
"${ORTTRAINING_SOURCE_DIR}/core/framework/torch/*.cc"
)
list(REMOVE_ITEM onnxruntime_cpu_training_ops_srcs ${onnxruntime_training_framework_excude_srcs})
source_group(TREE ${ORTTRAINING_ROOT}/ FILES ${onnxruntime_cpu_training_ops_srcs})
list(APPEND onnxruntime_providers_src ${onnxruntime_cpu_training_ops_srcs})
endif()
if (onnxruntime_REDUCED_OPS_BUILD)
substitute_op_reduction_srcs(onnxruntime_providers_src)
endif()
onnxruntime_add_static_library(onnxruntime_providers ${onnxruntime_providers_src})
if (onnxruntime_REDUCED_OPS_BUILD)
add_op_reduction_include_dirs(onnxruntime_providers)
endif()
if (HAS_BITWISE_INSTEAD_OF_LOGICAL)
target_compile_options(onnxruntime_providers PRIVATE "-Wno-bitwise-instead-of-logical")
endif()
if (MSVC)
target_compile_options(onnxruntime_providers PRIVATE "/bigobj")
# if(NOT CMAKE_SIZEOF_VOID_P EQUAL 8)
# target_compile_options(onnxruntime_providers PRIVATE "/wd4244")
# endif()
endif()
onnxruntime_add_include_to_target(onnxruntime_providers onnxruntime_common onnxruntime_framework onnx onnx_proto ${PROTOBUF_LIB} flatbuffers::flatbuffers Boost::mp11 safeint_interface)
if (onnxruntime_BUILD_MS_EXPERIMENTAL_OPS)
target_compile_definitions(onnxruntime_providers PRIVATE BUILD_MS_EXPERIMENTAL_OPS=1)
endif()
if(HAS_DEPRECATED_COPY)
#temporarily ignore this warning
#see: https://en.wikipedia.org/wiki/Rule_of_three_(C%2B%2B_programming)
set_source_files_properties("${ONNXRUNTIME_ROOT}/core/providers/cpu/math/matmul_integer.cc" PROPERTIES COMPILE_FLAGS -Wno-deprecated-copy)
set_source_files_properties("${ONNXRUNTIME_ROOT}/core/providers/cpu/math/quantize_linear_matmul.cc" PROPERTIES COMPILE_FLAGS -Wno-deprecated-copy)
set_source_files_properties("${ONNXRUNTIME_ROOT}/core/providers/cpu/nn/qlinearconv.cc" PROPERTIES COMPILE_FLAGS -Wno-deprecated-copy)
set_source_files_properties("${ONNXRUNTIME_ROOT}/core/providers/cpu/nn/conv_integer.cc" PROPERTIES COMPILE_FLAGS -Wno-deprecated-copy)
set_source_files_properties("${ONNXRUNTIME_ROOT}/core/providers/cpu/generator/random.cc" PROPERTIES COMPILE_FLAGS -Wno-deprecated-copy)
set_source_files_properties("${ONNXRUNTIME_ROOT}/core/providers/cpu/tensor/onehot.cc" PROPERTIES COMPILE_FLAGS -Wno-deprecated-copy)
set_source_files_properties("${ONNXRUNTIME_ROOT}/core/providers/cpu/tensor/where_op.cc" PROPERTIES COMPILE_FLAGS -Wno-deprecated-copy)
endif()
# This is enabled only for Adasum files in training mode.
# The flags won't be applied globally since some high-precision training and inferencing ops will incur precision loss.
if (onnxruntime_ENABLE_CPU_FP16_OPS)
set_source_files_properties(${ORTTRAINING_SOURCE_DIR}/core/framework/adasum/adasum_mpi.cc PROPERTIES COMPILE_FLAGS " -fassociative-math -ffast-math -ftree-vectorize -funsafe-math-optimizations -mf16c -mavx -mfma ")
set_source_files_properties(${ORTTRAINING_SOURCE_DIR}/training_ops/cpu/collective/adasum_kernels.cc PROPERTIES COMPILE_FLAGS " -fassociative-math -ffast-math -ftree-vectorize -funsafe-math-optimizations -mf16c -mavx -mfma ")
set_source_files_properties(${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/collective/adasum_kernels.cc PROPERTIES COMPILE_FLAGS " -fassociative-math -ffast-math -ftree-vectorize -funsafe-math-optimizations -mf16c -mavx -mfma ")
endif()
target_include_directories(onnxruntime_providers PRIVATE ${ONNXRUNTIME_ROOT} ${eigen_INCLUDE_DIRS})
onnxruntime_add_include_to_target(onnxruntime_providers re2::re2)
add_dependencies(onnxruntime_providers onnx ${onnxruntime_EXTERNAL_DEPENDENCIES})
if (onnxruntime_ENABLE_TRAINING_OPS)
target_include_directories(onnxruntime_providers PRIVATE ${ORTTRAINING_ROOT})
endif()
if (onnxruntime_ENABLE_ATEN)
target_compile_definitions(onnxruntime_providers PRIVATE ENABLE_ATEN)
# DLPack is a header-only dependency
set(DLPACK_INCLUDE_DIR ${dlpack_SOURCE_DIR}/include)
target_include_directories(onnxruntime_providers PRIVATE ${DLPACK_INCLUDE_DIR})
endif()
if (onnxruntime_ENABLE_TRAINING)
add_dependencies(onnxruntime_providers tensorboard)
onnxruntime_add_include_to_target(onnxruntime_providers tensorboard)
if (onnxruntime_ENABLE_TRAINING_TORCH_INTEROP)
onnxruntime_add_include_to_target(onnxruntime_providers Python::Module)
endif()
if (onnxruntime_USE_NCCL OR onnxruntime_USE_MPI)
target_include_directories(onnxruntime_providers PUBLIC ${MPI_CXX_INCLUDE_DIRS})
endif()
endif()
install(DIRECTORY ${PROJECT_SOURCE_DIR}/../include/onnxruntime/core/providers/cpu DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/onnxruntime/core/providers)
set_target_properties(onnxruntime_providers PROPERTIES LINKER_LANGUAGE CXX)
set_target_properties(onnxruntime_providers PROPERTIES FOLDER "ONNXRuntime")
if (NOT onnxruntime_MINIMAL_BUILD AND NOT onnxruntime_EXTENDED_MINIMAL_BUILD
AND NOT ${CMAKE_SYSTEM_NAME} MATCHES "Darwin|iOS"
AND NOT CMAKE_SYSTEM_NAME STREQUAL "Android"
AND NOT CMAKE_SYSTEM_NAME STREQUAL "Emscripten")
file(GLOB onnxruntime_providers_shared_cc_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/core/providers/shared/*.h"
"${ONNXRUNTIME_ROOT}/core/providers/shared/*.cc"
)
source_group(TREE ${ONNXRUNTIME_ROOT}/core FILES ${onnxruntime_providers_shared_cc_srcs})
onnxruntime_add_shared_library(onnxruntime_providers_shared ${onnxruntime_providers_shared_cc_srcs} "${ONNXRUNTIME_ROOT}/core/dll/onnxruntime.rc")
set_target_properties(onnxruntime_providers_shared PROPERTIES FOLDER "ONNXRuntime")
set_target_properties(onnxruntime_providers_shared PROPERTIES LINKER_LANGUAGE CXX)
target_compile_definitions(onnxruntime_providers_shared PRIVATE VER_MAJOR=${VERSION_MAJOR_PART})
target_compile_definitions(onnxruntime_providers_shared PRIVATE VER_MINOR=${VERSION_MINOR_PART})
target_compile_definitions(onnxruntime_providers_shared PRIVATE VER_BUILD=${VERSION_BUILD_PART})
target_compile_definitions(onnxruntime_providers_shared PRIVATE VER_PRIVATE=${VERSION_PRIVATE_PART})
target_compile_definitions(onnxruntime_providers_shared PRIVATE VER_STRING=\"${VERSION_STRING}\")
target_compile_definitions(onnxruntime_providers_shared PRIVATE FILE_NAME=\"onnxruntime_providers_shared.dll\")
# On Apple/Unix we don't directly link with this library as we load it with RTLD_GLOBAL, so this is only set to the actual library on WIN32
# But, in exchange we need to manually add Boost::mp11 to include dirs for every EP.
# It is because "provider_api.h" includes core/framework/op_kernel.h which includes op_kernel.h which includes "boost/mp11.hpp"
set(ONNXRUNTIME_PROVIDERS_SHARED)
if(APPLE)
set_property(TARGET onnxruntime_providers_shared APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker -exported_symbols_list ${ONNXRUNTIME_ROOT}/core/providers/shared/exported_symbols.lst")
elseif(UNIX)
set_property(TARGET onnxruntime_providers_shared APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker --version-script=${ONNXRUNTIME_ROOT}/core/providers/shared/version_script.lds -Xlinker --gc-sections")
elseif(WIN32)
set_property(TARGET onnxruntime_providers_shared APPEND_STRING PROPERTY LINK_FLAGS "-DEF:${ONNXRUNTIME_ROOT}/core/providers/shared/symbols.def")
set(ONNXRUNTIME_PROVIDERS_SHARED onnxruntime_providers_shared)
else()
message(FATAL_ERROR "onnxruntime_providers_shared unknown platform, need to specify shared library exports for it")
endif()
install(TARGETS onnxruntime_providers_shared
ARCHIVE DESTINATION ${CMAKE_INSTALL_LIBDIR}
LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR}
RUNTIME DESTINATION ${CMAKE_INSTALL_BINDIR}
)
endif()
if (onnxruntime_USE_CUDA)
file(GLOB_RECURSE onnxruntime_providers_cuda_cc_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/core/providers/cuda/*.h"
"${ONNXRUNTIME_ROOT}/core/providers/cuda/*.cc"
)
# Remove pch files
list(REMOVE_ITEM onnxruntime_providers_cuda_cc_srcs
"${ONNXRUNTIME_ROOT}/core/providers/cuda/cuda_pch.h"
"${ONNXRUNTIME_ROOT}/core/providers/cuda/cuda_pch.cc"
)
# The shared_library files are in a separate list since they use precompiled headers, and the above files have them disabled.
file(GLOB_RECURSE onnxruntime_providers_cuda_shared_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/core/providers/shared_library/*.h"
"${ONNXRUNTIME_ROOT}/core/providers/shared_library/*.cc"
)
file(GLOB_RECURSE onnxruntime_providers_cuda_cu_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/core/providers/cuda/*.cu"
"${ONNXRUNTIME_ROOT}/core/providers/cuda/*.cuh"
)
source_group(TREE ${ONNXRUNTIME_ROOT}/core FILES ${onnxruntime_providers_cuda_cc_srcs} ${onnxruntime_providers_cuda_shared_srcs} ${onnxruntime_providers_cuda_cu_srcs})
set(onnxruntime_providers_cuda_src ${onnxruntime_providers_cuda_cc_srcs} ${onnxruntime_providers_cuda_shared_srcs} ${onnxruntime_providers_cuda_cu_srcs})
# disable contrib ops conditionally
if(NOT onnxruntime_DISABLE_CONTRIB_OPS)
if (NOT onnxruntime_ENABLE_ATEN)
list(REMOVE_ITEM onnxruntime_cuda_contrib_ops_cc_srcs
"${ONNXRUNTIME_ROOT}/contrib_ops/cuda/aten_ops/aten_op.cc"
)
endif()
if (NOT onnxruntime_USE_NCCL)
list(REMOVE_ITEM onnxruntime_cuda_contrib_ops_cc_srcs
"${ONNXRUNTIME_ROOT}/contrib_ops/cuda/collective/nccl_kernels.cc"
)
endif()
# add using ONNXRUNTIME_ROOT so they show up under the 'contrib_ops' folder in Visual Studio
source_group(TREE ${ONNXRUNTIME_ROOT} FILES ${onnxruntime_cuda_contrib_ops_cc_srcs} ${onnxruntime_cuda_contrib_ops_cu_srcs})
list(APPEND onnxruntime_providers_cuda_src ${onnxruntime_cuda_contrib_ops_cc_srcs} ${onnxruntime_cuda_contrib_ops_cu_srcs})
endif()
if (onnxruntime_ENABLE_TRAINING_OPS)
file(GLOB_RECURSE onnxruntime_cuda_training_ops_cc_srcs CONFIGURE_DEPENDS
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/*.h"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/*.cc"
)
file(GLOB_RECURSE onnxruntime_cuda_training_ops_cu_srcs CONFIGURE_DEPENDS
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/*.cu"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/*.cuh"
)
source_group(TREE ${ORTTRAINING_ROOT} FILES ${onnxruntime_cuda_training_ops_cc_srcs} ${onnxruntime_cuda_training_ops_cu_srcs})
list(APPEND onnxruntime_providers_cuda_src ${onnxruntime_cuda_training_ops_cc_srcs} ${onnxruntime_cuda_training_ops_cu_srcs})
if(NOT onnxruntime_ENABLE_TRAINING)
file(GLOB_RECURSE onnxruntime_cuda_full_training_only_srcs
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/collective/*.cc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/collective/*.h"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/communication/*.cc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/communication/*.h"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/controlflow/record.cc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/controlflow/record.h"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/controlflow/wait.cc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/controlflow/wait.h"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/controlflow/yield.cc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/controlflow/yield.h"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/gist/*.cc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/gist/*.h"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/gist/*.cu"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/torch/*.cc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/torch/*.h"
)
list(REMOVE_ITEM onnxruntime_providers_cuda_src ${onnxruntime_cuda_full_training_only_srcs})
elseif(WIN32 OR NOT onnxruntime_USE_NCCL)
# NCCL is not support in Windows build
file(GLOB_RECURSE onnxruntime_cuda_nccl_op_srcs
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/collective/nccl_common.cc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/collective/nccl_kernels.cc"
"${ORTTRAINING_SOURCE_DIR}/training_ops/cuda/collective/megatron.cc"
)
list(REMOVE_ITEM onnxruntime_providers_cuda_src ${onnxruntime_cuda_nccl_op_srcs})
endif()
endif()
if (onnxruntime_REDUCED_OPS_BUILD)
substitute_op_reduction_srcs(onnxruntime_providers_cuda_src)
endif()
onnxruntime_add_shared_library_module(onnxruntime_providers_cuda ${onnxruntime_providers_cuda_src})
if (onnxruntime_REDUCED_OPS_BUILD)
add_op_reduction_include_dirs(onnxruntime_providers_cuda)
endif()
#target_compile_options(onnxruntime_providers_cuda PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:-Xcompiler \"/analyze:stacksize 131072\">")
if (HAS_GUARD_CF)
target_compile_options(onnxruntime_providers_cuda PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:-Xcompiler /guard:cf>")
endif()
if (HAS_QSPECTRE)
target_compile_options(onnxruntime_providers_cuda PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:-Xcompiler /Qspectre>")
endif()
foreach(ORT_FLAG ${ORT_WARNING_FLAGS})
target_compile_options(onnxruntime_providers_cuda PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:-Xcompiler \"${ORT_FLAG}\">")
endforeach()
# CUDA 11.3+ supports parallel compilation
# https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/index.html#options-for-guiding-compiler-driver-threads
if (CMAKE_CUDA_COMPILER_VERSION VERSION_GREATER_EQUAL 11.3)
target_compile_options(onnxruntime_providers_cuda PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:--threads \"${onnxruntime_NVCC_THREADS}\">")
endif()
if (UNIX)
target_compile_options(onnxruntime_providers_cuda PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:-Xcompiler -Wno-reorder>"
"$<$<NOT:$<COMPILE_LANGUAGE:CUDA>>:-Wno-reorder>")
target_compile_options(onnxruntime_providers_cuda PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:-Xcompiler -Wno-error=sign-compare>"
"$<$<NOT:$<COMPILE_LANGUAGE:CUDA>>:-Wno-error=sign-compare>")
else()
#mutex.cuh(91): warning C4834: discarding return value of function with 'nodiscard' attribute
target_compile_options(onnxruntime_providers_cuda PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:-Xcompiler /wd4834>")
target_compile_options(onnxruntime_providers_cuda PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:-Xcompiler /wd4127>")
endif()
onnxruntime_add_include_to_target(onnxruntime_providers_cuda onnxruntime_common onnxruntime_framework onnx onnx_proto ${PROTOBUF_LIB} flatbuffers::flatbuffers)
if (onnxruntime_ENABLE_TRAINING_OPS)
onnxruntime_add_include_to_target(onnxruntime_providers_cuda onnxruntime_training)
if (onnxruntime_ENABLE_TRAINING)
target_link_libraries(onnxruntime_providers_cuda PRIVATE onnxruntime_training)
endif()
if (onnxruntime_ENABLE_TRAINING_TORCH_INTEROP)
onnxruntime_add_include_to_target(onnxruntime_providers_cuda Python::Module)
endif()
endif()
add_dependencies(onnxruntime_providers_cuda onnxruntime_providers_shared ${onnxruntime_EXTERNAL_DEPENDENCIES})
target_link_libraries(onnxruntime_providers_cuda PRIVATE cublasLt cublas cudnn curand cufft ${ABSEIL_LIBS} ${ONNXRUNTIME_PROVIDERS_SHARED} Boost::mp11 safeint_interface)
if(onnxruntime_CUDNN_HOME)
target_include_directories(onnxruntime_providers_cuda PRIVATE ${onnxruntime_CUDNN_HOME}/include)
target_link_directories(onnxruntime_providers_cuda PRIVATE ${onnxruntime_CUDNN_HOME}/lib)
endif()
if (onnxruntime_USE_TRITON_KERNEL)
# compile triton kernel, generate .a and .h files
include(onnxruntime_compile_triton_kernel.cmake)
compile_triton_kernel(triton_kernel_obj_file triton_kernel_header_dir)
add_dependencies(onnxruntime_providers_cuda onnxruntime_triton_kernel)
target_compile_definitions(onnxruntime_providers_cuda PRIVATE USE_TRITON_KERNEL)
target_include_directories(onnxruntime_providers_cuda PRIVATE ${triton_kernel_header_dir})
target_link_libraries(onnxruntime_providers_cuda PUBLIC -Wl,--whole-archive ${triton_kernel_obj_file} -Wl,--no-whole-archive)
# lib cuda needed by cuLaunchKernel
target_link_libraries(onnxruntime_providers_cuda PRIVATE cuda)
endif()
if (onnxruntime_USE_FLASH_ATTENTION)
include(cutlass)
target_include_directories(onnxruntime_providers_cuda PRIVATE ${cutlass_SOURCE_DIR}/include ${cutlass_SOURCE_DIR}/examples)
endif()
target_include_directories(onnxruntime_providers_cuda PRIVATE ${ONNXRUNTIME_ROOT} ${CMAKE_CURRENT_BINARY_DIR} ${eigen_INCLUDE_DIRS} ${TVM_INCLUDES} PUBLIC ${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES})
# ${CMAKE_CURRENT_BINARY_DIR} is so that #include "onnxruntime_config.h" inside tensor_shape.h is found
set_target_properties(onnxruntime_providers_cuda PROPERTIES LINKER_LANGUAGE CUDA)
set_target_properties(onnxruntime_providers_cuda PROPERTIES FOLDER "ONNXRuntime")
if (onnxruntime_ENABLE_CUDA_PROFILING) # configure cupti for cuda profiling
target_include_directories(onnxruntime_providers_cuda PRIVATE ${onnxruntime_CUDA_HOME}/extras/CUPTI/include)
target_link_directories(onnxruntime_providers_cuda PRIVATE ${onnxruntime_CUDA_HOME}/extras/CUPTI/lib64)
target_link_libraries(onnxruntime_providers_cuda PRIVATE cupti)
endif()
if (onnxruntime_ENABLE_NVTX_PROFILE)
target_link_libraries(onnxruntime_providers_cuda PRIVATE nvToolsExt)
endif()
if (onnxruntime_ENABLE_TRAINING_OPS)
target_include_directories(onnxruntime_providers_cuda PRIVATE ${ORTTRAINING_ROOT} ${MPI_CXX_INCLUDE_DIRS})
endif()
if(onnxruntime_USE_MPI)
target_link_libraries(onnxruntime_providers_cuda PRIVATE ${MPI_LIBRARIES} ${MPI_CXX_LINK_FLAGS})
endif()
if (onnxruntime_USE_NCCL)
target_include_directories(onnxruntime_providers_cuda PRIVATE ${NCCL_INCLUDE_DIRS})
target_link_libraries(onnxruntime_providers_cuda PRIVATE ${NCCL_LIBRARIES})
endif()
if (WIN32)
# *.cu cannot use PCH
if (NOT onnxruntime_BUILD_CACHE)
target_precompile_headers(onnxruntime_providers_cuda PUBLIC
"${ONNXRUNTIME_ROOT}/core/providers/cuda/cuda_pch.h"
"${ONNXRUNTIME_ROOT}/core/providers/cuda/cuda_pch.cc"
)
endif()
# minimize the Windows includes.
# this avoids an issue with CUDA 11.6 where 'small' is defined in the windows and cuda headers.
target_compile_definitions(onnxruntime_providers_cuda PRIVATE "WIN32_LEAN_AND_MEAN")
# disable a warning from the CUDA headers about unreferenced local functions
#target_compile_options(onnxruntime_providers_cuda PRIVATE /wd4505)
set(onnxruntime_providers_cuda_static_library_flags
-IGNORE:4221 # LNK4221: This object file does not define any previously undefined public symbols, so it will not be used by any link operation that consumes this library
)
set_target_properties(onnxruntime_providers_cuda PROPERTIES
STATIC_LIBRARY_FLAGS "${onnxruntime_providers_cuda_static_library_flags}")
endif()
if(APPLE)
set_property(TARGET onnxruntime_providers_cuda APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker -exported_symbols_list ${ONNXRUNTIME_ROOT}/core/providers/cuda/exported_symbols.lst")
target_link_libraries(onnxruntime_providers_cuda PRIVATE nsync::nsync_cpp)
elseif(UNIX)
set_property(TARGET onnxruntime_providers_cuda APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker --version-script=${ONNXRUNTIME_ROOT}/core/providers/cuda/version_script.lds -Xlinker --gc-sections")
target_link_libraries(onnxruntime_providers_cuda PRIVATE nsync::nsync_cpp)
elseif(WIN32)
set_property(TARGET onnxruntime_providers_cuda APPEND_STRING PROPERTY LINK_FLAGS "-DEF:${ONNXRUNTIME_ROOT}/core/providers/cuda/symbols.def")
else()
message(FATAL_ERROR "onnxruntime_providers_cuda unknown platform, need to specify shared library exports for it")
endif()
if (onnxruntime_ENABLE_ATEN)
target_compile_definitions(onnxruntime_providers_cuda PRIVATE ENABLE_ATEN)
endif()
install(TARGETS onnxruntime_providers_cuda
ARCHIVE DESTINATION ${CMAKE_INSTALL_LIBDIR}
LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR}
RUNTIME DESTINATION ${CMAKE_INSTALL_BINDIR})
endif()
if (onnxruntime_USE_DNNL)
file(GLOB_RECURSE onnxruntime_providers_dnnl_cc_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/core/providers/dnnl/*.h"
"${ONNXRUNTIME_ROOT}/core/providers/dnnl/*.cc"
"${ONNXRUNTIME_ROOT}/core/providers/shared_library/*.h"
"${ONNXRUNTIME_ROOT}/core/providers/shared_library/*.cc"
)
source_group(TREE ${ONNXRUNTIME_ROOT}/core FILES ${onnxruntime_providers_dnnl_cc_srcs})
onnxruntime_add_shared_library_module(onnxruntime_providers_dnnl ${onnxruntime_providers_dnnl_cc_srcs})
target_link_directories(onnxruntime_providers_dnnl PRIVATE ${DNNL_LIB_DIR})
if (MSVC AND onnxruntime_ENABLE_STATIC_ANALYSIS)
# dnnl_convgrad.cc(47,0): Warning C6262: Function uses '38816' bytes of stack: exceeds /analyze:stacksize '16384'. Consider moving some data to heap.
target_compile_options(onnxruntime_providers_dnnl PRIVATE "/analyze:stacksize 131072")
endif()
add_dependencies(onnxruntime_providers_dnnl onnxruntime_providers_shared project_dnnl ${onnxruntime_EXTERNAL_DEPENDENCIES})
target_include_directories(onnxruntime_providers_dnnl PRIVATE ${ONNXRUNTIME_ROOT} ${eigen_INCLUDE_DIRS} ${DNNL_INCLUDE_DIR} ${DNNL_OCL_INCLUDE_DIR})
# ${CMAKE_CURRENT_BINARY_DIR} is so that #include "onnxruntime_config.h" inside tensor_shape.h is found
target_link_libraries(onnxruntime_providers_dnnl PRIVATE dnnl ${ONNXRUNTIME_PROVIDERS_SHARED} Boost::mp11 ${ABSEIL_LIBS} ${GSL_TARGET})
install(DIRECTORY ${PROJECT_SOURCE_DIR}/../include/onnxruntime/core/providers/dnnl DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/onnxruntime/core/providers)
set_target_properties(onnxruntime_providers_dnnl PROPERTIES FOLDER "ONNXRuntime")
set_target_properties(onnxruntime_providers_dnnl PROPERTIES LINKER_LANGUAGE CXX)
# Needed for the provider interface, as it includes training headers when training is enabled
if (onnxruntime_ENABLE_TRAINING_OPS)
target_include_directories(onnxruntime_providers_dnnl PRIVATE ${ORTTRAINING_ROOT})
endif()
# Needed for threadpool handling
if(onnxruntime_BUILD_JAVA)
add_compile_definitions(DNNL_JAVA)
endif()
if(APPLE)
set_property(TARGET onnxruntime_providers_dnnl APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker -exported_symbols_list ${ONNXRUNTIME_ROOT}/core/providers/dnnl/exported_symbols.lst")
set_target_properties(onnxruntime_providers_dnnl PROPERTIES
INSTALL_RPATH "@loader_path"
BUILD_WITH_INSTALL_RPATH TRUE
INSTALL_RPATH_USE_LINK_PATH FALSE)
target_link_libraries(onnxruntime_providers_dnnl PRIVATE nsync::nsync_cpp)
elseif(UNIX)
set_property(TARGET onnxruntime_providers_dnnl APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker --version-script=${ONNXRUNTIME_ROOT}/core/providers/dnnl/version_script.lds -Xlinker --gc-sections -Xlinker -rpath=\$ORIGIN")
target_link_libraries(onnxruntime_providers_dnnl PRIVATE nsync::nsync_cpp)
elseif(WIN32)
set_property(TARGET onnxruntime_providers_dnnl APPEND_STRING PROPERTY LINK_FLAGS "-DEF:${ONNXRUNTIME_ROOT}/core/providers/dnnl/symbols.def")
else()
message(FATAL_ERROR "onnxruntime_providers_dnnl unknown platform, need to specify shared library exports for it")
endif()
install(TARGETS onnxruntime_providers_dnnl
ARCHIVE DESTINATION ${CMAKE_INSTALL_LIBDIR}
LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR}
RUNTIME DESTINATION ${CMAKE_INSTALL_BINDIR})
endif()
if (onnxruntime_USE_TENSORRT)
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 ${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES})
set(TENSORRT_ROOT ${onnxruntime_TENSORRT_HOME})
set(OLD_CMAKE_CXX_FLAGS ${CMAKE_CXX_FLAGS})
set(PROTOBUF_LIBRARY ${PROTOBUF_LIB})
if (WIN32)
add_definitions(-D_SILENCE_EXPERIMENTAL_FILESYSTEM_DEPRECATION_WARNING=1)
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)
if (onnxruntime_USE_TENSORRT_BUILTIN_PARSER)
# Add TensorRT library
find_path(TENSORRT_INCLUDE_DIR NvInfer.h
HINTS ${TENSORRT_ROOT}
PATH_SUFFIXES include)
MESSAGE(STATUS "Found TensorRT headers at ${TENSORRT_INCLUDE_DIR}")
find_library(TENSORRT_LIBRARY_INFER nvinfer
HINTS ${TENSORRT_ROOT}
PATH_SUFFIXES lib lib64 lib/x64)
find_library(TENSORRT_LIBRARY_INFER_PLUGIN nvinfer_plugin
HINTS ${TENSORRT_ROOT}
PATH_SUFFIXES lib lib64 lib/x64)
find_library(TENSORRT_LIBRARY_NVONNXPARSER nvonnxparser
HINTS ${TENSORRT_ROOT}
PATH_SUFFIXES lib lib64 lib/x64)
set(TENSORRT_LIBRARY ${TENSORRT_LIBRARY_INFER} ${TENSORRT_LIBRARY_INFER_PLUGIN} ${TENSORRT_LIBRARY_NVONNXPARSER})
MESSAGE(STATUS "Find TensorRT libs at ${TENSORRT_LIBRARY}")
else()
FetchContent_Declare(
onnx_tensorrt
URL ${DEP_URL_onnx_tensorrt}
URL_HASH SHA1=${DEP_SHA1_onnx_tensorrt}
)
# 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 ${OLD_CMAKE_CUDA_FLAGS})
unset(PROTOBUF_LIBRARY)
unset(OLD_CMAKE_CXX_FLAGS)
unset(OLD_CMAKE_CUDA_FLAGS)
set_target_properties(nvonnxparser PROPERTIES LINK_FLAGS "/ignore:4199")
target_compile_options(nvonnxparser_static PRIVATE /FIio.h /wd4100)
target_compile_options(nvonnxparser PRIVATE /FIio.h /wd4100)
endif()
set(onnxparser_link_libs nvonnxparser_static)
endif()
include_directories(${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
set(trt_link_libs cudnn cublas ${CMAKE_DL_LIBS} ${TENSORRT_LIBRARY})
file(GLOB_RECURSE onnxruntime_providers_tensorrt_cc_srcs CONFIGURE_DEPENDS
"${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 onnx flatbuffers::flatbuffers Boost::mp11 safeint_interface)
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} cudart ${ONNXRUNTIME_PROVIDERS_SHARED} ${PROTOBUF_LIB} flatbuffers::flatbuffers Boost::mp11 safeint_interface ${ABSEIL_LIBS})
else()
target_link_libraries(onnxruntime_providers_tensorrt PRIVATE ${onnxparser_link_libs} ${trt_link_libs} cudart ${ONNXRUNTIME_PROVIDERS_SHARED} ${PROTOBUF_LIB} flatbuffers::flatbuffers ${ABSEIL_LIBS})
endif()
target_include_directories(onnxruntime_providers_tensorrt PRIVATE ${ONNXRUNTIME_ROOT} ${CMAKE_CURRENT_BINARY_DIR} ${eigen_INCLUDE_DIRS} PUBLIC ${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES})
if(onnxruntime_CUDNN_HOME)
target_include_directories(onnxruntime_providers_tensorrt PRIVATE ${onnxruntime_CUDNN_HOME}/include)
endif()
# ${CMAKE_CURRENT_BINARY_DIR} is so that #include "onnxruntime_config.h" inside tensor_shape.h is found
install(DIRECTORY ${PROJECT_SOURCE_DIR}/../include/onnxruntime/core/providers/tensorrt DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/onnxruntime/core/providers)
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()
# 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 ${ONNXRUNTIME_ROOT}/core/providers/tensorrt/exported_symbols.lst")
target_link_libraries(onnxruntime_providers_tensorrt PRIVATE nsync::nsync_cpp)
elseif(UNIX)
set_property(TARGET onnxruntime_providers_tensorrt APPEND_STRING PROPERTY COMPILE_FLAGS "-Wno-deprecated-declarations")
set_property(TARGET onnxruntime_providers_tensorrt APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker --version-script=${ONNXRUNTIME_ROOT}/core/providers/tensorrt/version_script.lds -Xlinker --gc-sections")
target_link_libraries(onnxruntime_providers_tensorrt PRIVATE nsync::nsync_cpp stdc++fs)
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 ${CMAKE_INSTALL_BINDIR})
endif()
if (onnxruntime_USE_VITISAI)
if ("${GIT_COMMIT_ID}" STREQUAL "")
execute_process(
WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
COMMAND git rev-parse HEAD
OUTPUT_VARIABLE GIT_COMMIT_ID
OUTPUT_STRIP_TRAILING_WHITESPACE)
endif()
configure_file(${ONNXRUNTIME_ROOT}/core/providers/vitisai/imp/version_info.hpp.in ${CMAKE_CURRENT_BINARY_DIR}/VitisAI/version_info.h)
file(GLOB onnxruntime_providers_vitisai_cc_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/core/providers/vitisai/*.cc"
"${ONNXRUNTIME_ROOT}/core/providers/vitisai/*.h"
"${ONNXRUNTIME_ROOT}/core/providers/vitisai/imp/*.cc"
"${ONNXRUNTIME_ROOT}/core/providers/vitisai/imp/*.h"
)
list(REMOVE_ITEM onnxruntime_providers_vitisai_cc_srcs "${ONNXRUNTIME_ROOT}/core/providers/vitisai/onnxruntime_vitisai_ep_stub.cc")
source_group(TREE ${ONNXRUNTIME_ROOT}/core FILES ${onnxruntime_providers_vitisai_cc_srcs})
onnxruntime_add_static_library(onnxruntime_providers_vitisai ${onnxruntime_providers_vitisai_cc_srcs})
onnxruntime_add_include_to_target(onnxruntime_providers_vitisai onnxruntime_common onnxruntime_framework onnx onnx_proto)
onnxruntime_add_shared_library(onnxruntime_vitisai_ep ${ONNXRUNTIME_ROOT}/core/providers/vitisai/onnxruntime_vitisai_ep_stub.cc)
onnxruntime_add_include_to_target(onnxruntime_vitisai_ep onnxruntime_common)
target_include_directories(onnxruntime_vitisai_ep PRIVATE "${ONNXRUNTIME_ROOT}" "${ONNXRUNTIME_ROOT}/core/providers/vitisai/include")
target_link_libraries(onnxruntime_providers_vitisai PUBLIC onnxruntime_vitisai_ep PRIVATE onnx protobuf::libprotobuf nlohmann_json::nlohmann_json )
target_compile_definitions(onnxruntime_vitisai_ep
PRIVATE "-DONNXRUNTIME_VITISAI_EP_STUB=1" "-DONNXRUNTIME_VITISAI_EP_EXPORT_DLL=1")
if(NOT MSVC)
target_compile_options(onnxruntime_providers_vitisai PUBLIC $<$<CONFIG:DEBUG>:-U_FORTIFY_SOURCE -D_FORTIFY_SOURCE=0>)
endif(NOT MSVC)
target_include_directories(onnxruntime_providers_vitisai PRIVATE "${ONNXRUNTIME_ROOT}/core/providers/vitisai/include" ${XRT_INCLUDE_DIRS} ${CMAKE_CURRENT_BINARY_DIR}/VitisAI)
if(MSVC)
target_compile_options(onnxruntime_providers_vitisai PRIVATE "/Zc:__cplusplus")
# for dll interface warning.
target_compile_options(onnxruntime_providers_vitisai PRIVATE "/wd4251")
# for unused formal parameter
target_compile_options(onnxruntime_providers_vitisai PRIVATE "/wd4100")
else(MSVC)
target_compile_options(onnxruntime_providers_vitisai PRIVATE -Wno-unused-parameter)
endif(MSVC)
set_target_properties(onnxruntime_providers_vitisai PROPERTIES FOLDER "ONNXRuntime")
set_target_properties(onnxruntime_providers_vitisai PROPERTIES LINKER_LANGUAGE CXX)
if (NOT onnxruntime_BUILD_SHARED_LIB)
install(TARGETS onnxruntime_providers_vitisai
ARCHIVE DESTINATION ${CMAKE_INSTALL_LIBDIR}
LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR}
RUNTIME DESTINATION ${CMAKE_INSTALL_BINDIR}
FRAMEWORK DESTINATION ${CMAKE_INSTALL_BINDIR})
endif()
endif()
if (onnxruntime_USE_OPENVINO)
# include_directories("${CMAKE_CURRENT_BINARY_DIR}/onnx")
file(GLOB_RECURSE onnxruntime_providers_openvino_cc_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/core/providers/openvino/*.h"
"${ONNXRUNTIME_ROOT}/core/providers/openvino/*.cc"
"${ONNXRUNTIME_ROOT}/core/providers/openvino/*.hpp"
"${ONNXRUNTIME_ROOT}/core/providers/openvino/*.cpp"
"${ONNXRUNTIME_ROOT}/core/providers/shared_library/*.h"
"${ONNXRUNTIME_ROOT}/core/providers/shared_library/*.cc"
)
if (WIN32)
set(CMAKE_MAP_IMPORTED_CONFIG_RELWITHDEBINFO Release)
endif()
# Header paths
find_package(InferenceEngine REQUIRED)
find_package(ngraph REQUIRED)
if (OPENVINO_2022_1 OR OPENVINO_2022_2)
find_package(OpenVINO REQUIRED COMPONENTS Runtime ONNX)
list (OV_20_LIBS openvino::frontend::onnx openvino::runtime)
endif()
if (WIN32)
unset(CMAKE_MAP_IMPORTED_CONFIG_RELWITHDEBINFO)
endif()
if ((DEFINED ENV{OPENCL_LIBS}) AND (DEFINED ENV{OPENCL_INCS}))
add_definitions(-DIO_BUFFER_ENABLED=1)
list(APPEND OPENVINO_LIB_LIST $ENV{OPENCL_LIBS} ${OV_20_LIBS} ${InferenceEngine_LIBRARIES} ${NGRAPH_LIBRARIES} ngraph::onnx_importer ${PYTHON_LIBRARIES})
else()
list(APPEND OPENVINO_LIB_LIST ${OV_20_LIBS} ${InferenceEngine_LIBRARIES} ${NGRAPH_LIBRARIES} ngraph::onnx_importer ${PYTHON_LIBRARIES})
endif()
source_group(TREE ${ONNXRUNTIME_ROOT}/core FILES ${onnxruntime_providers_openvino_cc_srcs})
onnxruntime_add_shared_library_module(onnxruntime_providers_openvino ${onnxruntime_providers_openvino_cc_srcs} "${ONNXRUNTIME_ROOT}/core/dll/onnxruntime.rc")
onnxruntime_add_include_to_target(onnxruntime_providers_openvino onnxruntime_common onnx)
install(DIRECTORY ${PROJECT_SOURCE_DIR}/../include/onnxruntime/core/providers/openvino DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/onnxruntime/core/providers)
set_target_properties(onnxruntime_providers_openvino PROPERTIES LINKER_LANGUAGE CXX)
set_target_properties(onnxruntime_providers_openvino PROPERTIES FOLDER "ONNXRuntime")
if(NOT MSVC)
target_compile_options(onnxruntime_providers_openvino PRIVATE "-Wno-parentheses")
endif()
add_dependencies(onnxruntime_providers_openvino onnxruntime_providers_shared ${onnxruntime_EXTERNAL_DEPENDENCIES})
target_include_directories(onnxruntime_providers_openvino SYSTEM PUBLIC ${ONNXRUNTIME_ROOT} ${CMAKE_CURRENT_BINARY_DIR} ${eigen_INCLUDE_DIRS} ${OpenVINO_INCLUDE_DIR} ${OPENVINO_INCLUDE_DIR_LIST} ${PYTHON_INCLUDE_DIRS} $ENV{OPENCL_INCS})
target_link_libraries(onnxruntime_providers_openvino ${ONNXRUNTIME_PROVIDERS_SHARED} Boost::mp11 ${OPENVINO_LIB_LIST} ${ABSEIL_LIBS})
target_compile_definitions(onnxruntime_providers_openvino PRIVATE VER_MAJOR=${VERSION_MAJOR_PART})
target_compile_definitions(onnxruntime_providers_openvino PRIVATE VER_MINOR=${VERSION_MINOR_PART})
target_compile_definitions(onnxruntime_providers_openvino PRIVATE VER_BUILD=${VERSION_BUILD_PART})
target_compile_definitions(onnxruntime_providers_openvino PRIVATE VER_PRIVATE=${VERSION_PRIVATE_PART})
target_compile_definitions(onnxruntime_providers_openvino PRIVATE VER_STRING=\"${VERSION_STRING}\")
target_compile_definitions(onnxruntime_providers_openvino PRIVATE FILE_NAME=\"onnxruntime_providers_openvino.dll\")
if(MSVC)
target_compile_options(onnxruntime_providers_openvino PUBLIC /wd4099 /wd4275 /wd4100 /wd4005 /wd4244 /wd4267)
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_openvino PRIVATE ${ORTTRAINING_ROOT})
endif()
if(APPLE)
set_property(TARGET onnxruntime_providers_openvino APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker -exported_symbols_list ${ONNXRUNTIME_ROOT}/core/providers/openvino/exported_symbols.lst")
elseif(UNIX)
set_property(TARGET onnxruntime_providers_openvino APPEND_STRING PROPERTY LINK_FLAGS "-Xlinker --version-script=${ONNXRUNTIME_ROOT}/core/providers/openvino/version_script.lds -Xlinker --gc-sections")
elseif(WIN32)
set_property(TARGET onnxruntime_providers_openvino APPEND_STRING PROPERTY LINK_FLAGS "-DEF:${ONNXRUNTIME_ROOT}/core/providers/openvino/symbols.def")
else()
message(FATAL_ERROR "onnxruntime_providers_openvino unknown platform, need to specify shared library exports for it")
endif()
install(TARGETS onnxruntime_providers_openvino
ARCHIVE DESTINATION ${CMAKE_INSTALL_LIBDIR}
LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR}
RUNTIME DESTINATION ${CMAKE_INSTALL_BINDIR})
endif()
if (onnxruntime_USE_COREML)
if (onnxruntime_MINIMAL_BUILD AND NOT onnxruntime_EXTENDED_MINIMAL_BUILD)
message(FATAL_ERROR "CoreML EP can not be used in a basic minimal build. Please build with '--minimal_build extended'")
endif()
add_compile_definitions(USE_COREML=1)
# Compile CoreML proto definition to ${CMAKE_CURRENT_BINARY_DIR}/coreml
if (CMAKE_SYSTEM_NAME STREQUAL "Darwin" OR CMAKE_SYSTEM_NAME STREQUAL "iOS")
set(COREML_PROTO_ROOT ${PROJECT_SOURCE_DIR}/../onnxruntime/core/providers/coreml/mlmodel_format)
file(GLOB coreml_proto_srcs
"${COREML_PROTO_ROOT}/*.proto"
)
onnxruntime_add_static_library(onnxruntime_coreml_proto ${coreml_proto_srcs})
target_include_directories(onnxruntime_coreml_proto PUBLIC $<TARGET_PROPERTY:${PROTOBUF_LIB},INTERFACE_INCLUDE_DIRECTORIES> "${CMAKE_CURRENT_BINARY_DIR}")
target_compile_definitions(onnxruntime_coreml_proto PUBLIC $<TARGET_PROPERTY:${PROTOBUF_LIB},INTERFACE_COMPILE_DEFINITIONS>)
set_target_properties(onnxruntime_coreml_proto PROPERTIES COMPILE_FLAGS "-fvisibility=hidden")
set_target_properties(onnxruntime_coreml_proto PROPERTIES COMPILE_FLAGS "-fvisibility-inlines-hidden")
set(_src_sub_dir "coreml/")
onnxruntime_protobuf_generate(
APPEND_PATH
GEN_SRC_SUB_DIR ${_src_sub_dir}
IMPORT_DIRS ${COREML_PROTO_ROOT}
TARGET onnxruntime_coreml_proto
)
if (NOT onnxruntime_BUILD_SHARED_LIB)
install(TARGETS onnxruntime_coreml_proto
ARCHIVE DESTINATION ${CMAKE_INSTALL_LIBDIR}
LIBRARY DESTINATION ${CMAKE_INSTALL_LIBDIR}
RUNTIME DESTINATION ${CMAKE_INSTALL_BINDIR}
FRAMEWORK DESTINATION ${CMAKE_INSTALL_BINDIR}
)
endif()
endif()
# These are shared utils,
# TODO, move this to a separated lib when used by EPs other than NNAPI and CoreML
file(GLOB_RECURSE onnxruntime_providers_shared_utils_cc_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/core/providers/shared/utils/utils.h"
"${ONNXRUNTIME_ROOT}/core/providers/shared/utils/utils.cc"
)
file(GLOB
onnxruntime_providers_coreml_cc_srcs_top CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/core/providers/coreml/*.h"
"${ONNXRUNTIME_ROOT}/core/providers/coreml/*.cc"
)
# Add builder source code
file(GLOB_RECURSE
onnxruntime_providers_coreml_cc_srcs_nested CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/core/providers/coreml/builders/*.h"
"${ONNXRUNTIME_ROOT}/core/providers/coreml/builders/*.cc"
)
if (NOT CMAKE_SYSTEM_NAME STREQUAL "Darwin" AND NOT CMAKE_SYSTEM_NAME STREQUAL "iOS")
list(REMOVE_ITEM onnxruntime_providers_coreml_cc_srcs_nested
"${ONNXRUNTIME_ROOT}/core/providers/coreml/builders/model_builder.h"
"${ONNXRUNTIME_ROOT}/core/providers/coreml/builders/model_builder.cc"
)
endif()
# Add CoreML objective c++ source code
if (CMAKE_SYSTEM_NAME STREQUAL "Darwin" OR CMAKE_SYSTEM_NAME STREQUAL "iOS")
file(GLOB
onnxruntime_providers_coreml_objcc_srcs CONFIGURE_DEPENDS
"${ONNXRUNTIME_ROOT}/core/providers/coreml/model/model.h"
"${ONNXRUNTIME_ROOT}/core/providers/coreml/model/model.mm"
"${ONNXRUNTIME_ROOT}/core/providers/coreml/model/host_utils.h"
"${ONNXRUNTIME_ROOT}/core/providers/coreml/model/host_utils.mm"
)
endif()
set(onnxruntime_providers_coreml_cc_srcs
${onnxruntime_providers_coreml_cc_srcs_top}
${onnxruntime_providers_coreml_cc_srcs_nested}
${onnxruntime_providers_shared_utils_cc_srcs}
)
source_group(TREE ${ONNXRUNTIME_ROOT}/core FILES ${onnxruntime_providers_coreml_cc_srcs})
onnxruntime_add_static_library(onnxruntime_providers_coreml