mirror of
https://github.com/saymrwulf/onnxruntime.git
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0510688411
1. Update SDLNativeRules from v2 to v3. The new one allows us setting excluded paths. 2. Update TSAUpload from v1 to v2. And add a config file ".gdn/.gdntsa" for it. 3. Fix some parentheses warnings 4. Update cmake to the latest. 5. Remove "--x86" build option from pipeline yaml files. Now we can auto-detect cpu architecture from python. So we don't need to ask user to specify it.
36 lines
1.6 KiB
CMake
36 lines
1.6 KiB
CMake
# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License.
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# Schema library (for contrib ops and training ops)
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set (CONTRIB_OPS_DIR ${ONNXRUNTIME_ROOT}/core/graph/contrib_ops)
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set (TRAINING_OPS_DIR ${ORTTRAINING_ROOT}/orttraining/core/graph)
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file(GLOB_RECURSE contrib_ops_schema_src
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"${CONTRIB_OPS_DIR}/*.cc"
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"${TRAINING_OPS_DIR}/training_op_defs.cc"
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)
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# The nchwc op schemas are platform-specific and not currently required.
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list(REMOVE_ITEM contrib_ops_schema_src ${CONTRIB_OPS_DIR}/nchwc_schema_defs.cc)
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# Use of ORT_ENFORCE introduces a dependency on GetStackTrace.
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# Currently, we just use an empty implementation to avoid bringing in other dependencies.
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if(WIN32)
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list(APPEND contrib_ops_schema_src "${ONNXRUNTIME_ROOT}/core/platform/windows/stacktrace.cc")
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else()
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list(APPEND contrib_ops_schema_src "${ONNXRUNTIME_ROOT}/core/platform/posix/stacktrace.cc")
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endif()
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onnxruntime_add_static_library(ort_opschema_lib ${contrib_ops_schema_src})
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target_compile_options(ort_opschema_lib PRIVATE -D_OPSCHEMA_LIB_=1)
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if(NOT MSVC)
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target_compile_options(ort_opschema_lib PRIVATE "-Wno-parentheses")
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endif()
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set (OPSCHEMA_LIB_DEPENDENCIES onnx onnx_proto ${PROTOBUF_LIB} flatbuffers)
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# ${CMAKE_CURRENT_BINARY_DIR} is so that #include "onnxruntime_config.h" is found
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target_include_directories(ort_opschema_lib PRIVATE ${ONNXRUNTIME_ROOT} ${ORTTRAINING_ROOT} ${CMAKE_CURRENT_BINARY_DIR})
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onnxruntime_add_include_to_target(ort_opschema_lib onnxruntime_common onnx onnx_proto protobuf::libprotobuf flatbuffers)
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add_dependencies(ort_opschema_lib ${OPSCHEMA_LIB_DEPENDENCIES})
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