mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-05-16 21:00:14 +00:00
7e092a7e3f
Add abseil and inlined containers typedefs Introduce TensorShapeVector for shape building. Use gsl::span<const T> to make interfaces accept different types of vector like args. Introduce InineShapeVectorT for shape capacity typed instantiations Refactor cuda slice along with provider shared interfaces Refactor Concat, Conv, Pad Build with Conv Einsum and ConvTranspose refactored. Remove TesnorShape::GetDimsAsVector() Refactor SliceIterator and SliceIteratorBase Refactor broadcast Refactor Pads for twice as long Remove memory planner intermediate shapes vector Refactor orttraining Fix passing TenshroShapeVector to tests Remove abseil copy and submodule, use FetchContent_Declare/Fetch Path with separate command Make RocmAsyncBuffer accept anything convertible to span. Adjust Linux GPU pipeline.
98 lines
4.6 KiB
CMake
98 lines
4.6 KiB
CMake
# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License.
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file(GLOB_RECURSE onnxruntime_framework_srcs CONFIGURE_DEPENDS
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"${ONNXRUNTIME_INCLUDE_DIR}/core/framework/*.h"
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"${ONNXRUNTIME_ROOT}/core/framework/*.h"
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"${ONNXRUNTIME_ROOT}/core/framework/*.cc"
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)
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if (onnxruntime_ENABLE_TRAINING_TORCH_INTEROP)
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file(GLOB_RECURSE onnxruntime_training_framework_torch_srcs CONFIGURE_DEPENDS
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"${ORTTRAINING_SOURCE_DIR}/core/framework/torch/*.h"
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"${ORTTRAINING_SOURCE_DIR}/core/framework/torch/*.cc"
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)
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list(APPEND onnxruntime_framework_srcs ${onnxruntime_training_framework_torch_srcs})
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endif()
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if (onnxruntime_MINIMAL_BUILD)
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set(onnxruntime_framework_src_exclude
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"${ONNXRUNTIME_ROOT}/core/framework/fallback_cpu_capability.h"
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"${ONNXRUNTIME_ROOT}/core/framework/fallback_cpu_capability.cc"
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)
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# custom ops support must be explicitly enabled in a minimal build. exclude if not.
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if (NOT onnxruntime_MINIMAL_BUILD_CUSTOM_OPS)
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list(APPEND onnxruntime_framework_src_exclude
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"${ONNXRUNTIME_INCLUDE_DIR}/core/framework/customregistry.h"
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"${ONNXRUNTIME_ROOT}/core/framework/customregistry.cc"
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)
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endif()
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list(REMOVE_ITEM onnxruntime_framework_srcs ${onnxruntime_framework_src_exclude})
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endif()
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source_group(TREE ${REPO_ROOT} FILES ${onnxruntime_framework_srcs})
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onnxruntime_add_static_library(onnxruntime_framework ${onnxruntime_framework_srcs})
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if(onnxruntime_ENABLE_INSTRUMENT)
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target_compile_definitions(onnxruntime_framework PRIVATE ONNXRUNTIME_ENABLE_INSTRUMENT)
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endif()
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if(onnxruntime_USE_TENSORRT OR onnxruntime_USE_NCCL)
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# TODO: for now, core framework depends on CUDA. It should be moved to TensorRT EP
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# TODO: provider_bridge_ort.cc should not include nccl.h
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target_include_directories(onnxruntime_framework PRIVATE ${ONNXRUNTIME_ROOT} ${eigen_INCLUDE_DIRS} ${onnxruntime_CUDNN_HOME}/include PUBLIC ${CMAKE_CURRENT_BINARY_DIR} ${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES})
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else()
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target_include_directories(onnxruntime_framework PRIVATE ${ONNXRUNTIME_ROOT} ${eigen_INCLUDE_DIRS} PUBLIC ${CMAKE_CURRENT_BINARY_DIR})
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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 OR onnxruntime_ENABLE_TRAINING_OPS)
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target_include_directories(onnxruntime_framework PRIVATE ${ORTTRAINING_ROOT})
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if (onnxruntime_ENABLE_TRAINING_TORCH_INTEROP)
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onnxruntime_add_include_to_target(onnxruntime_framework Python::Module)
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target_include_directories(onnxruntime_framework PRIVATE ${PROJECT_SOURCE_DIR}/external/dlpack/include)
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endif()
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if (onnxruntime_USE_NCCL OR onnxruntime_USE_MPI)
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target_include_directories(onnxruntime_framework PUBLIC ${MPI_CXX_INCLUDE_DIRS})
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endif()
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endif()
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if (onnxruntime_ENABLE_TRAINING)
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# DLPack is a header-only dependency
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set(DLPACK_INCLUDE_DIR ${PROJECT_SOURCE_DIR}/external/dlpack/include)
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target_include_directories(onnxruntime_framework PRIVATE ${DLPACK_INCLUDE_DIR})
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endif()
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onnxruntime_add_include_to_target(onnxruntime_framework onnxruntime_common onnx onnx_proto ${PROTOBUF_LIB} flatbuffers)
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if (onnxruntime_USE_MIMALLOC)
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target_link_libraries(onnxruntime_framework mimalloc-static)
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endif()
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if (onnxruntime_BUILD_WEBASSEMBLY)
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target_link_libraries(onnxruntime_framework absl::raw_hash_set absl::hash absl::city)
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endif()
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set_target_properties(onnxruntime_framework PROPERTIES FOLDER "ONNXRuntime")
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# need onnx to build to create headers that this project includes
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add_dependencies(onnxruntime_framework ${onnxruntime_EXTERNAL_DEPENDENCIES})
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# In order to find the shared provider libraries we need to add the origin to the rpath for all executables we build
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# For the shared onnxruntime library, this is set in onnxruntime.cmake through CMAKE_SHARED_LINKER_FLAGS
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# But our test files don't use the shared library so this must be set for them.
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# For Win32 it generates an absolute path for shared providers based on the location of the executable/onnxruntime.dll
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if (UNIX AND NOT APPLE AND NOT onnxruntime_MINIMAL_BUILD AND NOT onnxruntime_BUILD_WEBASSEMBLY)
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set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -Wl,-rpath='$ORIGIN'")
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endif()
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if (onnxruntime_DEBUG_NODE_INPUTS_OUTPUTS_ENABLE_DUMP_TO_SQLDB)
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find_package (SQLite3)
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if (SQLITE3_FOUND)
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include_directories(${SQLite3_INCLUDE_DIR})
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target_link_libraries (onnxruntime_framework ${SQLite3_LIBRARY})
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else()
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message( FATAL_ERROR "Could not locate SQLite3 package." )
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endif (SQLITE3_FOUND)
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target_compile_definitions(onnxruntime_framework PRIVATE DEBUG_NODE_INPUTS_OUTPUTS_ENABLE_DUMP_TO_SQLDB)
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endif()
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install(DIRECTORY ${PROJECT_SOURCE_DIR}/../include/onnxruntime/core/framework DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/onnxruntime/core)
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