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* Add new transformer that can split node selection from node modification to allow just the modifications to be applied at runtime in a minimal build. This is the first step of a few to enable a QDQ model to be optimized for the NNAPI EP and/or the CPU EP at runtime in a mobile scenario. Add generic and QDQ specific helpers for selection and modification. Replace existing QDQ optimizers with optimizer based on new approach.
42 lines
2 KiB
CMake
42 lines
2 KiB
CMake
# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License.
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if (onnxruntime_MINIMAL_BUILD)
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# we include a couple of files so a library is produced and we minimize other changes to the build setup.
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# as the transformer base class will be unused it will be excluded from the final binary size
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file(GLOB onnxruntime_optimizer_srcs CONFIGURE_DEPENDS
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"${ONNXRUNTIME_INCLUDE_DIR}/core/optimizer/graph_transformer.h"
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"${ONNXRUNTIME_ROOT}/core/optimizer/graph_transformer.cc"
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)
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else()
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file(GLOB onnxruntime_optimizer_srcs CONFIGURE_DEPENDS
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"${ONNXRUNTIME_INCLUDE_DIR}/core/optimizer/*.h"
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"${ONNXRUNTIME_ROOT}/core/optimizer/*.h"
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"${ONNXRUNTIME_ROOT}/core/optimizer/*.cc"
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"${ONNXRUNTIME_ROOT}/core/optimizer/qdq_transformer/*.h"
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"${ONNXRUNTIME_ROOT}/core/optimizer/qdq_transformer/*.cc"
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"${ONNXRUNTIME_ROOT}/core/optimizer/selectors_actions/*.h"
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"${ONNXRUNTIME_ROOT}/core/optimizer/selectors_actions/*.cc"
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)
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endif()
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if (onnxruntime_ENABLE_TRAINING)
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file(GLOB orttraining_optimizer_srcs CONFIGURE_DEPENDS
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"${ORTTRAINING_SOURCE_DIR}/core/optimizer/*.h"
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"${ORTTRAINING_SOURCE_DIR}/core/optimizer/*.cc"
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)
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set(onnxruntime_optimizer_srcs ${onnxruntime_optimizer_srcs} ${orttraining_optimizer_srcs})
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endif()
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source_group(TREE ${REPO_ROOT} FILES ${onnxruntime_optimizer_srcs})
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onnxruntime_add_static_library(onnxruntime_optimizer ${onnxruntime_optimizer_srcs})
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install(DIRECTORY ${PROJECT_SOURCE_DIR}/../include/onnxruntime/core/optimizer DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}/onnxruntime/core)
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onnxruntime_add_include_to_target(onnxruntime_optimizer onnxruntime_common onnxruntime_framework onnx onnx_proto ${PROTOBUF_LIB} flatbuffers)
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target_include_directories(onnxruntime_optimizer PRIVATE ${ONNXRUNTIME_ROOT})
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if (onnxruntime_ENABLE_TRAINING)
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target_include_directories(onnxruntime_optimizer PRIVATE ${ORTTRAINING_ROOT})
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endif()
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add_dependencies(onnxruntime_optimizer ${onnxruntime_EXTERNAL_DEPENDENCIES})
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set_target_properties(onnxruntime_optimizer PROPERTIES FOLDER "ONNXRuntime")
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