mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-05-16 21:00:14 +00:00
4090d0d0de
This change adds a new execution provider powered by [DirectML](https://aka.ms/DirectML). DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning on Windows. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers. The DirectML execution provider is capable of greatly improving evaluation time of models using commodity GPU hardware, without sacrificing broad hardware support or requiring vendor-specific extensions to be installed. **Note** that the DML EP code was moved verbatim from the existing WindowsAI project, which is why it doesn't yet conform to the onnxruntime coding style. This is something that can be fixed later; we would like to keep formatting/whitespace changes to a minimum for the time being to make it easier to port fixes from WindowsAI to ORT during this transition. Summary of changes: * Initial commit of DML EP files under onnxruntime/core/providers/dml * Add cmake entries for building the DML EP and for pulling down the DirectML redist using nuget * Add a submodule dependency on the Windows Implementation Library (WIL) * Add docs under docs/execution_providers/DirectML-ExecutionProvider.md * Add support for DML EP to provider tests and perf tests * Add support for DML EP to fns_candy_style_transfer sample * Add entries to the C ABI for instantiating the DML EP
93 lines
3.6 KiB
CMake
93 lines
3.6 KiB
CMake
# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License.
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if(UNIX)
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set(SYMBOL_FILE ${CMAKE_CURRENT_BINARY_DIR}/onnxruntime.lds)
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set(OUTPUT_STYLE gcc)
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else()
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set(SYMBOL_FILE ${CMAKE_CURRENT_BINARY_DIR}/onnxruntime_dll.def)
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set(OUTPUT_STYLE vc)
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endif()
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#If you want to verify if there is any extra line in symbols.txt, run
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# nm -C -g --defined libonnxruntime.so |grep -v '\sA\s' | cut -f 3 -d ' ' | sort
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# after build
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list(APPEND SYMBOL_FILES "${REPO_ROOT}/tools/ci_build/gen_def.py")
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foreach(f ${ONNXRUNTIME_PROVIDER_NAMES})
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list(APPEND SYMBOL_FILES "${ONNXRUNTIME_ROOT}/core/providers/${f}/symbols.txt")
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endforeach()
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add_custom_command(OUTPUT ${SYMBOL_FILE} ${CMAKE_CURRENT_BINARY_DIR}/generated_source.c
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COMMAND ${PYTHON_EXECUTABLE} "${REPO_ROOT}/tools/ci_build/gen_def.py" --version_file "${ONNXRUNTIME_ROOT}/../VERSION_NUMBER" --src_root "${ONNXRUNTIME_ROOT}" --config ${ONNXRUNTIME_PROVIDER_NAMES} --style=${OUTPUT_STYLE} --output ${SYMBOL_FILE} --output_source ${CMAKE_CURRENT_BINARY_DIR}/generated_source.c
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DEPENDS ${SYMBOL_FILES}
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WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR})
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add_custom_target(onnxruntime_generate_def ALL DEPENDS ${SYMBOL_FILE} ${CMAKE_CURRENT_BINARY_DIR}/generated_source.c)
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add_library(onnxruntime SHARED ${CMAKE_CURRENT_BINARY_DIR}/generated_source.c)
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set_target_properties(onnxruntime PROPERTIES VERSION ${ORT_VERSION})
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add_dependencies(onnxruntime onnxruntime_generate_def ${onnxruntime_EXTERNAL_DEPENDENCIES})
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target_include_directories(onnxruntime PRIVATE ${ONNXRUNTIME_ROOT})
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onnxruntime_add_include_to_target(onnxruntime)
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if (onnxruntime_USE_CUDA)
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target_include_directories(onnxruntime PRIVATE ${onnxruntime_CUDNN_HOME}/include ${CMAKE_CUDA_TOOLKIT_INCLUDE_DIRECTORIES})
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endif()
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if(UNIX)
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if (APPLE)
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set(ONNXRUNTIME_SO_LINK_FLAG "-Xlinker -dead_strip")
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else()
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set(ONNXRUNTIME_SO_LINK_FLAG "-Xlinker --version-script=${SYMBOL_FILE} -Xlinker --no-undefined -Xlinker --gc-sections")
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endif()
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else()
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set(ONNXRUNTIME_SO_LINK_FLAG "-DEF:${SYMBOL_FILE}")
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endif()
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if (NOT WIN32)
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if (APPLE)
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set_target_properties(onnxruntime PROPERTIES INSTALL_RPATH "@loader_path")
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else()
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set(CMAKE_SHARED_LINKER_FLAGS "${CMAKE_SHARED_LINKER_FLAGS} -Wl,-rpath='$ORIGIN'")
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endif()
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endif()
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#The BEGIN_WHOLE_ARCHIVE/END_WHOLE_ARCHIVE part should contain the implementations of all the C API functions
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target_link_libraries(onnxruntime PRIVATE
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onnxruntime_session
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${onnxruntime_libs}
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${PROVIDERS_CUDA}
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${PROVIDERS_MKLDNN}
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${PROVIDERS_NGRAPH}
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${PROVIDERS_NNAPI}
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${PROVIDERS_TENSORRT}
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${PROVIDERS_OPENVINO}
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${PROVIDERS_NUPHAR}
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${PROVIDERS_DML}
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onnxruntime_optimizer
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onnxruntime_providers
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onnxruntime_util
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${onnxruntime_tvm_libs}
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onnxruntime_framework
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onnxruntime_graph
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onnxruntime_common
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onnxruntime_mlas
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${onnxruntime_EXTERNAL_LIBRARIES})
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if (onnxruntime_ENABLE_LANGUAGE_INTEROP_OPS)
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target_link_libraries(onnxruntime PRIVATE onnxruntime_language_interop onnxruntime_pyop)
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endif()
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set_property(TARGET onnxruntime APPEND_STRING PROPERTY LINK_FLAGS ${ONNXRUNTIME_SO_LINK_FLAG})
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set_target_properties(onnxruntime PROPERTIES LINK_DEPENDS ${SYMBOL_FILE})
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if(onnxruntime_ENABLE_LTO)
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set_target_properties(onnxruntime PROPERTIES INTERPROCEDURAL_OPTIMIZATION_RELEASE TRUE)
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set_target_properties(onnxruntime PROPERTIES INTERPROCEDURAL_OPTIMIZATION_RELWITHDEBINFO TRUE)
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endif()
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install(TARGETS onnxruntime
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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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set_target_properties(onnxruntime PROPERTIES FOLDER "ONNXRuntime")
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