forked from OSSInnovation/mindspore
added build option to build full minddata in ms-lite
This commit is contained in:
ervinzhang
Eric
parent
23e9ebfa7e
commit
50cda2f8b1
40
build.sh
40
build.sh
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@ -26,7 +26,7 @@ usage()
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echo "bash build.sh [-d] [-r] [-v] [-c on|off] [-t on|off] [-g on|off] [-h] [-b ge] [-m infer|train] \\"
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echo " [-a on|off] [-Q on|off] [-p on|off] [-i] [-L] [-R] [-D on|off] [-j[n]] [-e gpu|d|cpu] \\"
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echo " [-P on|off] [-z [on|off]] [-M on|off] [-V 9.2|10.1] [-I arm64|arm32|x86_64] [-K] \\"
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echo " [-B on|off] [-w on|off] [-E] [-l on|off] [-n]"
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echo " [-B on|off] [-w on|off] [-E] [-l on|off] [-n full|lite|off]"
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echo ""
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echo "Options:"
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echo " -d Debug mode"
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@ -50,10 +50,10 @@ usage()
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echo " -Q Enable dump memory, default off"
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echo " -D Enable dumping of function graph ir, default on"
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echo " -z Compile dataset & mindrecord, default on"
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echo " -n Compile minddata lite"
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echo " -n Compile minddata with mindspore-lite, available: off, lite, full, default is lite"
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echo " -M Enable MPI and NCCL for GPU training, gpu default on"
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echo " -V Specify the minimum required cuda version, default CUDA 10.1"
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echo " -I Compile lite"
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echo " -I Compile mindspore-lite"
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echo " -K Compile with AKG, default on"
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echo " -s Enable serving module, default off"
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echo " -w Enable acl module, default off"
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@ -93,7 +93,7 @@ checkopts()
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ENABLE_DUMPE2E="off"
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ENABLE_DUMP_IR="on"
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COMPILE_MINDDATA="on"
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COMPILE_MINDDATA_LITE="off"
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COMPILE_MINDDATA_LITE="lite"
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ENABLE_MPI="off"
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CUDA_VERSION="10.1"
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COMPILE_LITE="off"
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@ -109,7 +109,7 @@ checkopts()
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ENABLE_GPU="off"
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# Process the options
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while getopts 'drvj:c:t:hsb:a:g:p:ie:m:l:I:LRP:Q:D:zM:V:K:swB:EnT:' opt
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while getopts 'drvj:c:t:hsb:a:g:p:ie:m:l:I:LRP:Q:D:zM:V:K:swB:En:T:' opt
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do
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OPTARG=$(echo ${OPTARG} | tr '[A-Z]' '[a-z]')
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case "${opt}" in
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@ -117,7 +117,13 @@ checkopts()
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DEBUG_MODE="on"
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;;
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n)
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COMPILE_MINDDATA_LITE="on"
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if [[ "X$OPTARG" == "Xoff" || "X$OPTARG" == "Xlite" || "X$OPTARG" == "Xfull" ]]; then
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COMPILE_MINDDATA_LITE="$OPTARG"
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else
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echo "Invalid value ${OPTARG} for option -n"
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usage
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exit 1
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fi
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;;
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r)
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DEBUG_MODE="off"
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@ -548,16 +554,16 @@ build_minddata_lite_deps()
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{
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echo "start build minddata lite project"
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if [[ "${LITE_PLATFORM}" == "arm64" ]]; then
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CMAKE_MINDDATA_ARGS="-DCMAKE_TOOLCHAIN_FILE=${ANDROID_NDK}/build/cmake/android.toolchain.cmake -DANDROID_NATIVE_API_LEVEL=19 \
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-DANDROID_NDK=${ANDROID_NDK} -DANDROID_ABI=arm64-v8a -DANDROID_TOOLCHAIN_NAME=aarch64-linux-android-clang \
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-DANDROID_STL=c++_shared -DCMAKE_BUILD_TYPE=${BUILD_TYPE}"
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elif [[ "${LITE_PLATFORM}" == "arm32" ]]; then
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CMAKE_MINDDATA_ARGS="-DCMAKE_TOOLCHAIN_FILE=${ANDROID_NDK}/build/cmake/android.toolchain.cmake -DANDROID_NATIVE_API_LEVEL=19 \
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-DANDROID_NDK=${ANDROID_NDK} -DANDROID_ABI=armeabi-v7a -DANDROID_TOOLCHAIN_NAME=clang \
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-DANDROID_STL=c++_shared -DCMAKE_BUILD_TYPE=${BUILD_TYPE}"
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else
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CMAKE_MINDDATA_ARGS="-DCMAKE_BUILD_TYPE=${BUILD_TYPE}"
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fi
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CMAKE_MINDDATA_ARGS="-DCMAKE_TOOLCHAIN_FILE=${ANDROID_NDK}/build/cmake/android.toolchain.cmake -DANDROID_NATIVE_API_LEVEL=19 \
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-DANDROID_NDK=${ANDROID_NDK} -DANDROID_ABI=arm64-v8a -DANDROID_TOOLCHAIN_NAME=aarch64-linux-android-clang \
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-DANDROID_STL=c++_shared -DCMAKE_BUILD_TYPE=${BUILD_TYPE}"
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elif [[ "${LITE_PLATFORM}" == "arm32" ]]; then
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CMAKE_MINDDATA_ARGS="-DCMAKE_TOOLCHAIN_FILE=${ANDROID_NDK}/build/cmake/android.toolchain.cmake -DANDROID_NATIVE_API_LEVEL=19 \
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-DANDROID_NDK=${ANDROID_NDK} -DANDROID_ABI=armeabi-v7a -DANDROID_TOOLCHAIN_NAME=clang \
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-DANDROID_STL=c++_shared -DCMAKE_BUILD_TYPE=${BUILD_TYPE}"
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else
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CMAKE_MINDDATA_ARGS="-DCMAKE_BUILD_TYPE=${BUILD_TYPE}"
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fi
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build_opencv
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build_eigen
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build_jpeg_turbo
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@ -577,7 +583,7 @@ build_lite()
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build_flatbuffer
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build_gtest
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if [ "${COMPILE_MINDDATA_LITE}" == "on" ]; then
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if [ "${COMPILE_MINDDATA_LITE}" == "lite" ] || [ "${COMPILE_MINDDATA_LITE}" == "full" ]; then
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build_minddata_lite_deps
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fi
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@ -13,24 +13,30 @@ set(TURBO_DIR_RUN_X86 ${MAIN_DIR}-${RUN_X86_COMPONENT_NAME}/third_party/libjpeg-
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set(OPENCV_DIR_RUN_X86 ${MAIN_DIR}-${RUN_X86_COMPONENT_NAME}/third_party/opencv)
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set(PROTOBF_DIR_RUN_X86 ${MAIN_DIR}-${RUN_X86_COMPONENT_NAME}/third_party/protobuf)
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set(FLATBF_DIR_RUN_X86 ${MAIN_DIR}-${RUN_X86_COMPONENT_NAME}/third_party/flatbuffers)
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if (BUILD_MINDDATA)
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install(DIRECTORY ${TOP_DIR}/mindspore/ccsrc/minddata/dataset/include/ DESTINATION ${INC_DIR} COMPONENT ${COMPONENT_NAME} FILES_MATCHING PATTERN "*.h")
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install(FILES ${TOP_DIR}/mindspore/lite/build/minddata/libminddata-lite.so DESTINATION ${LIB_DIR} COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/libjpeg-turbo/lib/libjpeg.so DESTINATION ${TURBO_DIR}/lib COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/libjpeg-turbo/lib/libturbojpeg.so DESTINATION ${TURBO_DIR}/lib COMPONENT ${COMPONENT_NAME})
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if (BUILD_MINDDATA STREQUAL "lite")
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install(DIRECTORY ${TOP_DIR}/mindspore/ccsrc/minddata/dataset/include/ DESTINATION ${INC_DIR} COMPONENT ${COMPONENT_NAME} FILES_MATCHING PATTERN "*.h")
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if (PLATFORM_ARM64)
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install(FILES ${TOP_DIR}/third_party/opencv/build/lib/arm64-v8a/libopencv_core.so DESTINATION ${OPENCV_DIR}/lib/arm64-v8a COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/opencv/build/lib/arm64-v8a/libopencv_imgcodecs.so DESTINATION ${OPENCV_DIR}/lib/arm64-v8a COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/opencv/build/lib/arm64-v8a/libopencv_imgproc.so DESTINATION ${OPENCV_DIR}/lib/arm64-v8a COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/mindspore/lite/build/minddata/libminddata-lite.so DESTINATION ${LIB_DIR} COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/libjpeg-turbo/lib/libjpeg.so DESTINATION ${TURBO_DIR}/lib COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/libjpeg-turbo/lib/libturbojpeg.so DESTINATION ${TURBO_DIR}/lib COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/opencv/build/lib/arm64-v8a/libopencv_core.so DESTINATION ${OPENCV_DIR}/lib COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/opencv/build/lib/arm64-v8a/libopencv_imgcodecs.so DESTINATION ${OPENCV_DIR}/lib COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/opencv/build/lib/arm64-v8a/libopencv_imgproc.so DESTINATION ${OPENCV_DIR}/lib COMPONENT ${COMPONENT_NAME})
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elseif (PLATFORM_ARM32)
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install(FILES ${TOP_DIR}/third_party/opencv/build/lib/armeabi-v7a/libopencv_core.so DESTINATION ${OPENCV_DIR}/lib/armeabi-v7a COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/opencv/build/lib/armeabi-v7a/libopencv_imgcodecs.so DESTINATION ${OPENCV_DIR}/lib/armeabi-v7a COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/opencv/build/lib/armeabi-v7a/libopencv_imgproc.so DESTINATION ${OPENCV_DIR}/lib/armeabi-v7a COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/mindspore/lite/build/minddata/libminddata-lite.so DESTINATION ${LIB_DIR} COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/libjpeg-turbo/lib/libjpeg.so DESTINATION ${TURBO_DIR}/lib COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/libjpeg-turbo/lib/libturbojpeg.so DESTINATION ${TURBO_DIR}/lib COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/opencv/build/lib/armeabi-v7a/libopencv_core.so DESTINATION ${OPENCV_DIR}/lib COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/opencv/build/lib/armeabi-v7a/libopencv_imgcodecs.so DESTINATION ${OPENCV_DIR}/lib COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/opencv/build/lib/armeabi-v7a/libopencv_imgproc.so DESTINATION ${OPENCV_DIR}/lib COMPONENT ${COMPONENT_NAME})
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else ()
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install(FILES ${TOP_DIR}/third_party/opencv/build/lib/libopencv_core.so DESTINATION ${OPENCV_DIR}/lib COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/opencv/build/lib/libopencv_imgcodecs.so DESTINATION ${OPENCV_DIR}/lib COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/opencv/build/lib/libopencv_imgproc.so DESTINATION ${OPENCV_DIR}/lib COMPONENT ${COMPONENT_NAME})
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install(FILES ${TOP_DIR}/mindspore/lite/build/minddata/libminddata-lite.so DESTINATION ${LIB_DIR_RUN_X86} COMPONENT ${RUN_X86_COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/libjpeg-turbo/lib/libjpeg.so.62.3.0 DESTINATION ${TURBO_DIR_RUN_X86}/lib RENAME libjpeg.so.62 COMPONENT ${RUN_X86_COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/libjpeg-turbo/lib/libturbojpeg.so.0.2.0 DESTINATION ${TURBO_DIR_RUN_X86}/lib RENAME libturbojpeg.so.0 COMPONENT ${RUN_X86_COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/opencv/build/lib/libopencv_core.so.4.2.0 DESTINATION ${OPENCV_DIR_RUN_X86}/lib RENAME libopencv_core.so.4.2 COMPONENT ${RUN_X86_COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/opencv/build/lib/libopencv_imgcodecs.so.4.2.0 DESTINATION ${OPENCV_DIR_RUN_X86}/lib RENAME libopencv_imgcodecs.so.4.2 COMPONENT ${RUN_X86_COMPONENT_NAME})
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install(FILES ${TOP_DIR}/third_party/opencv/build/lib/libopencv_imgproc.so.4.2.0 DESTINATION ${OPENCV_DIR_RUN_X86}/lib RENAME libopencv_imgproc.so.4.2 COMPONENT ${RUN_X86_COMPONENT_NAME})
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endif ()
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endif ()
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@ -32,7 +32,9 @@
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#include "minddata/dataset/engine/datasetops/source/mnist_op.h"
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#include "minddata/dataset/engine/datasetops/source/random_data_op.h"
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#include "minddata/dataset/engine/datasetops/source/text_file_op.h"
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#ifndef ENABLE_ANDROID
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#include "minddata/dataset/engine/datasetops/source/voc_op.h"
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#endif
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// Dataset operator headers (in alphabetical order)
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#include "minddata/dataset/engine/datasetops/batch_op.h"
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#include "minddata/dataset/engine/datasetops/build_vocab_op.h"
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@ -200,6 +202,7 @@ std::shared_ptr<ImageFolderDataset> ImageFolder(const std::string &dataset_dir,
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return ds->ValidateParams() ? ds : nullptr;
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}
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#ifndef ENABLE_ANDROID
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// Function to create a ManifestDataset.
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std::shared_ptr<ManifestDataset> Manifest(const std::string &dataset_file, const std::string &usage,
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const std::shared_ptr<SamplerObj> &sampler,
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@ -209,6 +212,7 @@ std::shared_ptr<ManifestDataset> Manifest(const std::string &dataset_file, const
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// Call derived class validation method.
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return ds->ValidateParams() ? ds : nullptr;
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}
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#endif
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// Function to create a MnistDataset.
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std::shared_ptr<MnistDataset> Mnist(const std::string &dataset_dir, const std::shared_ptr<SamplerObj> &sampler) {
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@ -236,6 +240,7 @@ std::shared_ptr<TextFileDataset> TextFile(const std::vector<std::string> &datase
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return ds->ValidateParams() ? ds : nullptr;
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}
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#ifndef ENABLE_ANDROID
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// Function to create a VOCDataset.
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std::shared_ptr<VOCDataset> VOC(const std::string &dataset_dir, const std::string &task, const std::string &mode,
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const std::map<std::string, int32_t> &class_indexing, bool decode,
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@ -245,6 +250,7 @@ std::shared_ptr<VOCDataset> VOC(const std::string &dataset_dir, const std::strin
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// Call derived class validation method.
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return ds->ValidateParams() ? ds : nullptr;
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}
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#endif
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// Function to create a ZipDataset.
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std::shared_ptr<ZipDataset> Zip(const std::vector<std::shared_ptr<Dataset>> &datasets) {
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@ -274,6 +280,7 @@ std::shared_ptr<BatchDataset> Dataset::Batch(int32_t batch_size, bool drop_remai
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return ds;
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}
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#ifndef ENABLE_ANDROID
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// Function to create a Vocab from dataset
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std::shared_ptr<Vocab> Dataset::BuildVocab(const std::vector<std::string> &columns,
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const std::pair<int64_t, int64_t> &freq_range, int64_t top_k,
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@ -304,6 +311,7 @@ std::shared_ptr<Vocab> Dataset::BuildVocab(const std::vector<std::string> &colum
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return vocab;
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}
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#endif
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// Function to create a Concat dataset
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std::shared_ptr<ConcatDataset> Dataset::Concat(const std::vector<std::shared_ptr<Dataset>> &datasets) {
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@ -1266,6 +1274,7 @@ std::vector<std::shared_ptr<DatasetOp>> ImageFolderDataset::Build() {
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return node_ops;
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}
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#ifndef ENABLE_ANDROID
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ManifestDataset::ManifestDataset(const std::string &dataset_file, const std::string &usage,
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const std::shared_ptr<SamplerObj> &sampler,
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const std::map<std::string, int32_t> &class_indexing, bool decode)
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@ -1310,6 +1319,7 @@ std::vector<std::shared_ptr<DatasetOp>> ManifestDataset::Build() {
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node_ops.push_back(manifest_op);
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return node_ops;
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}
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#endif
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MnistDataset::MnistDataset(std::string dataset_dir, std::shared_ptr<SamplerObj> sampler)
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: dataset_dir_(dataset_dir), sampler_(sampler) {}
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@ -1465,6 +1475,7 @@ std::vector<std::shared_ptr<DatasetOp>> TextFileDataset::Build() {
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return node_ops;
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}
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#ifndef ENABLE_ANDROID
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// Constructor for VOCDataset
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VOCDataset::VOCDataset(const std::string &dataset_dir, const std::string &task, const std::string &mode,
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const std::map<std::string, int32_t> &class_indexing, bool decode,
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@ -1542,6 +1553,7 @@ std::vector<std::shared_ptr<DatasetOp>> VOCDataset::Build() {
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node_ops.push_back(voc_op);
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return node_ops;
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}
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#endif
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// DERIVED DATASET CLASSES LEAF-NODE DATASETS
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// (In alphabetical order)
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@ -1578,6 +1590,7 @@ bool BatchDataset::ValidateParams() {
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return true;
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}
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#ifndef ENABLE_ANDROID
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BuildVocabDataset::BuildVocabDataset(std::shared_ptr<Vocab> vocab, const std::vector<std::string> &columns,
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const std::pair<int64_t, int64_t> &freq_range, int64_t top_k,
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const std::vector<std::string> &special_tokens, bool special_first)
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@ -1616,6 +1629,7 @@ bool BuildVocabDataset::ValidateParams() {
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}
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return true;
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}
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#endif
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// Function to build ConcatOp
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ConcatDataset::ConcatDataset(const std::vector<std::shared_ptr<Dataset>> &datasets) : datasets_(datasets) {
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@ -42,7 +42,7 @@ MSTensor *DETensor::CreateFromMemory(TypeId data_type, const std::vector<int> &s
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std::transform(shape.begin(), shape.end(), std::back_inserter(t_shape),
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[](int s) -> dataset::dsize_t { return static_cast<dataset::dsize_t>(s); });
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(void)dataset::Tensor::CreateFromMemory(dataset::TensorShape(t_shape), MSTypeToDEType(data_type),
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(void)dataset::Tensor::CreateFromMemory(dataset::TensorShape(t_shape), dataset::MSTypeToDEType(data_type),
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static_cast<uchar *>(data), &t);
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return new DETensor(std::move(t));
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}
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@ -370,6 +370,7 @@ Status ManifestOp::CountDatasetInfo() {
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return Status::OK();
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}
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#ifdef ENABLE_PYTHON
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Status ManifestOp::CountTotalRows(const std::string &file, const py::dict &dict, const std::string &usage,
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int64_t *count, int64_t *numClasses) {
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// the logic of counting the number of samples is copied from ParseManifestFile()
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@ -412,6 +413,7 @@ Status ManifestOp::GetClassIndexing(const std::string &file, const py::dict &dic
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return Status::OK();
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}
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#endif
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// Visitor accept method for NodePass
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Status ManifestOp::Accept(NodePass *p, bool *modified) {
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@ -165,12 +165,14 @@ class ManifestOp : public ParallelOp, public RandomAccessOp {
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// @param show_all
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void Print(std::ostream &out, bool show_all) const override;
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#ifdef ENABLE_PYTHON
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static Status CountTotalRows(const std::string &file, const py::dict &dict, const std::string &usage, int64_t *count,
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int64_t *numClasses);
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// Get str-to-int mapping from label name to index
|
||||
static Status GetClassIndexing(const std::string &file, const py::dict &dict, const std::string &usage,
|
||||
std::map<std::string, int32_t> *output_class_indexing);
|
||||
#endif
|
||||
|
||||
/// \brief Base-class override for NodePass visitor acceptor
|
||||
/// \param[in] p Pointer to the NodePass to be accepted
|
||||
|
|
|
|||
|
|
@ -419,6 +419,7 @@ Status VOCOp::ReadAnnotationToTensor(const std::string &path, TensorRow *row) {
|
|||
return Status::OK();
|
||||
}
|
||||
|
||||
#ifdef ENABLE_PYTHON
|
||||
Status VOCOp::CountTotalRows(const std::string &dir, const std::string &task_type, const std::string &task_mode,
|
||||
const py::dict &dict, int64_t *count) {
|
||||
if (task_type == "Detection") {
|
||||
|
|
@ -467,6 +468,8 @@ Status VOCOp::GetClassIndexing(const std::string &dir, const std::string &task_t
|
|||
|
||||
return Status::OK();
|
||||
}
|
||||
#endif
|
||||
|
||||
// Visitor accept method for NodePass
|
||||
Status VOCOp::Accept(NodePass *p, bool *modified) {
|
||||
// Downcast shared pointer then call visitor
|
||||
|
|
|
|||
|
|
@ -188,6 +188,7 @@ class VOCOp : public ParallelOp, public RandomAccessOp {
|
|||
// @param show_all
|
||||
void Print(std::ostream &out, bool show_all) const override;
|
||||
|
||||
#ifdef ENABLE_PYTHON
|
||||
// @param const std::string &dir - VOC dir path
|
||||
// @param const std::string &task_type - task type of reading voc job
|
||||
// @param const std::string &task_mode - task mode of reading voc job
|
||||
|
|
@ -204,6 +205,7 @@ class VOCOp : public ParallelOp, public RandomAccessOp {
|
|||
// @param std::map<std::string, int32_t> *output_class_indexing - output class index of VOCDataset
|
||||
static Status GetClassIndexing(const std::string &dir, const std::string &task_type, const std::string &task_mode,
|
||||
const py::dict &dict, std::map<std::string, int32_t> *output_class_indexing);
|
||||
#endif
|
||||
|
||||
/// \brief Base-class override for NodePass visitor acceptor
|
||||
/// \param[in] p Pointer to the NodePass to be accepted
|
||||
|
|
|
|||
|
|
@ -21,8 +21,10 @@
|
|||
#include "minddata/dataset/util/task_manager.h"
|
||||
#include "minddata/dataset/engine/opt/pass.h"
|
||||
#include "minddata/dataset/engine/opt/pre/removal_pass.h"
|
||||
#ifndef ENABLE_ANDROID
|
||||
#include "minddata/dataset/engine/opt/pre/cache_transform_pass.h"
|
||||
#include "minddata/dataset/engine/opt/post/repeat_pass.h"
|
||||
#endif
|
||||
#include "minddata/dataset/engine/opt/pre/epoch_injection_pass.h"
|
||||
#include "mindspore/ccsrc/minddata/dataset/engine/opt/optional/tensor_op_fusion_pass.h"
|
||||
#include "minddata/dataset/engine/perf/profiling.h"
|
||||
|
|
@ -227,7 +229,9 @@ Status ExecutionTree::PrepareTreePreAction() {
|
|||
MS_LOG(INFO) << "Running pre pass loops.";
|
||||
pre_actions.push_back(std::make_unique<EpochInjectionPass>());
|
||||
pre_actions.push_back(std::make_unique<RemovalPass>());
|
||||
#ifndef ENABLE_ANDROID
|
||||
pre_actions.push_back(std::make_unique<CacheTransformPass>());
|
||||
#endif
|
||||
// Apply pre action passes
|
||||
for (auto &pass : pre_actions) {
|
||||
RETURN_IF_NOT_OK(pass->Run(this, &modified));
|
||||
|
|
@ -244,7 +248,9 @@ Status ExecutionTree::PrepareTreePostAction() {
|
|||
std::vector<std::unique_ptr<Pass>> post_actions;
|
||||
// Construct pre actions
|
||||
MS_LOG(INFO) << "Running post pass loops.";
|
||||
#ifndef ENABLE_ANDROID
|
||||
post_actions.push_back(std::make_unique<RepeatPass>());
|
||||
#endif
|
||||
|
||||
// Apply post action passes
|
||||
for (auto &pass : post_actions) {
|
||||
|
|
|
|||
|
|
@ -17,10 +17,12 @@
|
|||
#include "minddata/dataset/engine/opt/pass.h"
|
||||
#include "minddata/dataset/engine/datasetops/batch_op.h"
|
||||
#include "minddata/dataset/engine/datasetops/build_vocab_op.h"
|
||||
#ifndef ENABLE_ANDROID
|
||||
#include "minddata/dataset/engine/datasetops/build_sentence_piece_vocab_op.h"
|
||||
#include "minddata/dataset/engine/datasetops/cache_op.h"
|
||||
#include "minddata/dataset/engine/datasetops/cache_merge_op.h"
|
||||
#include "minddata/dataset/engine/datasetops/cache_lookup_op.h"
|
||||
#endif
|
||||
#include "minddata/dataset/engine/datasetops/dataset_op.h"
|
||||
#include "minddata/dataset/engine/datasetops/device_queue_op.h"
|
||||
#include "minddata/dataset/engine/datasetops/epoch_ctrl_op.h"
|
||||
|
|
@ -205,10 +207,12 @@ Status NodePass::RunOnNode(std::shared_ptr<AlbumOp> node, bool *modified) {
|
|||
return RunOnNode(std::static_pointer_cast<DatasetOp>(node), modified);
|
||||
}
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
Status NodePass::RunOnNode(std::shared_ptr<CacheOp> node, bool *modified) {
|
||||
// Fallback to base class visitor by default
|
||||
return RunOnNode(std::static_pointer_cast<DatasetOp>(node), modified);
|
||||
}
|
||||
#endif
|
||||
|
||||
Status NodePass::RunOnNode(std::shared_ptr<MnistOp> node, bool *modified) {
|
||||
// Fallback to base class visitor by default
|
||||
|
|
@ -235,6 +239,7 @@ Status NodePass::RunOnNode(std::shared_ptr<RepeatOp> node, bool *modified) {
|
|||
return RunOnNode(std::static_pointer_cast<DatasetOp>(node), modified);
|
||||
}
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
Status NodePass::RunOnNode(std::shared_ptr<CacheMergeOp> node, bool *modified) {
|
||||
// Fallback to base class visitor by default
|
||||
return RunOnNode(std::static_pointer_cast<DatasetOp>(node), modified);
|
||||
|
|
@ -244,6 +249,7 @@ Status NodePass::RunOnNode(std::shared_ptr<CacheLookupOp> node, bool *modified)
|
|||
// Fallback to base class visitor by default
|
||||
return RunOnNode(std::static_pointer_cast<DatasetOp>(node), modified);
|
||||
}
|
||||
#endif
|
||||
|
||||
Status NodePass::RunOnNode(std::shared_ptr<EpochCtrlOp> node, bool *modified) {
|
||||
// Fallback to base class visitor by default
|
||||
|
|
@ -255,6 +261,7 @@ Status NodePass::PreRunOnNode(std::shared_ptr<RepeatOp> node, bool *modified) {
|
|||
return PreRunOnNode(std::static_pointer_cast<DatasetOp>(node), modified);
|
||||
}
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
Status NodePass::PreRunOnNode(std::shared_ptr<CacheOp> node, bool *modified) {
|
||||
// Fallback to base class visitor by default
|
||||
return PreRunOnNode(std::static_pointer_cast<DatasetOp>(node), modified);
|
||||
|
|
@ -264,6 +271,7 @@ Status NodePass::PreRunOnNode(std::shared_ptr<CacheMergeOp> node, bool *modified
|
|||
// Fallback to base class visitor by default
|
||||
return PreRunOnNode(std::static_pointer_cast<DatasetOp>(node), modified);
|
||||
}
|
||||
#endif
|
||||
|
||||
Status NodePass::PreRunOnNode(std::shared_ptr<EpochCtrlOp> node, bool *modified) {
|
||||
// Fallback to base class visitor by default
|
||||
|
|
@ -275,9 +283,12 @@ Status NodePass::PreRunOnNode(std::shared_ptr<BuildVocabOp> node, bool *modified
|
|||
return PreRunOnNode(std::static_pointer_cast<DatasetOp>(node), modified);
|
||||
}
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
Status NodePass::PreRunOnNode(std::shared_ptr<BuildSentencePieceVocabOp> node, bool *modified) {
|
||||
// Fallback to base class visitor by default
|
||||
return PreRunOnNode(std::static_pointer_cast<DatasetOp>(node), modified);
|
||||
}
|
||||
#endif
|
||||
|
||||
} // namespace dataset
|
||||
} // namespace mindspore
|
||||
|
|
|
|||
|
|
@ -63,7 +63,9 @@ class DeviceQueueOp;
|
|||
|
||||
class ImageFolderOp;
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
class CacheOp;
|
||||
#endif
|
||||
|
||||
class MnistOp;
|
||||
|
||||
|
|
@ -77,15 +79,19 @@ class CocoOp;
|
|||
|
||||
class CelebAOp;
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
class CacheMergeOp;
|
||||
|
||||
class CacheLookupOp;
|
||||
#endif
|
||||
|
||||
class EpochCtrlOp;
|
||||
|
||||
class BuildVocabOp;
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
class BuildSentencePieceVocabOp;
|
||||
#endif
|
||||
|
||||
// The base class Pass is the basic unit of tree transformation.
|
||||
// The actual implementation of the passes will be derived from here.
|
||||
|
|
@ -188,7 +194,9 @@ class NodePass : public Pass {
|
|||
|
||||
virtual Status RunOnNode(std::shared_ptr<DeviceQueueOp> node, bool *modified);
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
virtual Status RunOnNode(std::shared_ptr<CacheOp> node, bool *modified);
|
||||
#endif
|
||||
|
||||
virtual Status RunOnNode(std::shared_ptr<ImageFolderOp> node, bool *modified);
|
||||
|
||||
|
|
@ -202,23 +210,31 @@ class NodePass : public Pass {
|
|||
|
||||
virtual Status RunOnNode(std::shared_ptr<RepeatOp> node, bool *modified);
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
virtual Status RunOnNode(std::shared_ptr<CacheMergeOp> node, bool *modified);
|
||||
|
||||
virtual Status RunOnNode(std::shared_ptr<CacheLookupOp> node, bool *modified);
|
||||
#endif
|
||||
|
||||
virtual Status RunOnNode(std::shared_ptr<EpochCtrlOp> node, bool *modified);
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
virtual Status PreRunOnNode(std::shared_ptr<CacheOp> node, bool *modified);
|
||||
#endif
|
||||
|
||||
virtual Status PreRunOnNode(std::shared_ptr<RepeatOp> node, bool *modified);
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
virtual Status PreRunOnNode(std::shared_ptr<CacheMergeOp> node, bool *modified);
|
||||
#endif
|
||||
|
||||
virtual Status PreRunOnNode(std::shared_ptr<EpochCtrlOp> node, bool *modified);
|
||||
|
||||
virtual Status PreRunOnNode(std::shared_ptr<BuildVocabOp> node, bool *modified);
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
virtual Status PreRunOnNode(std::shared_ptr<BuildSentencePieceVocabOp> node, bool *modified);
|
||||
#endif
|
||||
|
||||
private:
|
||||
// Helper function to perform DFS visit
|
||||
|
|
|
|||
|
|
@ -33,6 +33,7 @@ Status EpochInjectionPass::InjectionFinder::PreRunOnNode(std::shared_ptr<BuildVo
|
|||
return Status::OK();
|
||||
}
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
// Performs finder work for BuildSentencePieceVocabOp that has special rules about epoch control injection
|
||||
Status EpochInjectionPass::InjectionFinder::PreRunOnNode(std::shared_ptr<BuildSentencePieceVocabOp> node,
|
||||
bool *modified) {
|
||||
|
|
@ -46,6 +47,7 @@ Status EpochInjectionPass::InjectionFinder::PreRunOnNode(std::shared_ptr<CacheOp
|
|||
injection_point_ = nullptr;
|
||||
return Status::OK();
|
||||
}
|
||||
#endif
|
||||
|
||||
Status EpochInjectionPass::InjectionFinder::RunOnNode(std::shared_ptr<DeviceQueueOp> node, bool *modified) {
|
||||
// Assumption: There is only one DeviceQueueOp in a pipeline. This assumption is not validated here.
|
||||
|
|
|
|||
|
|
@ -48,6 +48,7 @@ class EpochInjectionPass : public TreePass {
|
|||
/// \return Status The error code return
|
||||
Status PreRunOnNode(std::shared_ptr<BuildVocabOp> node, bool *modified) override;
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
/// \brief Performs finder work for BuildSentencePieceVocabOp that has special rules about epoch control injection.
|
||||
/// \param[in] node The node being visited
|
||||
/// \param[inout] modified Indicator if the node was changed at all
|
||||
|
|
@ -60,6 +61,7 @@ class EpochInjectionPass : public TreePass {
|
|||
/// \param[inout] modified Indicator if the node was changed at all
|
||||
/// \return Status The error code return
|
||||
Status PreRunOnNode(std::shared_ptr<CacheOp> node, bool *modified) override;
|
||||
#endif
|
||||
|
||||
/// \brief Register the DeviceQueueOp for further action.
|
||||
/// \param[in] node The node being visited
|
||||
|
|
|
|||
|
|
@ -25,6 +25,7 @@ namespace dataset {
|
|||
|
||||
RemovalPass::RemovalNodes::RemovalNodes() : is_caching_(false) {}
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
// Identifies the subtree below this node as a cached descendant tree.
|
||||
Status RemovalPass::RemovalNodes::PreRunOnNode(std::shared_ptr<CacheOp> node, bool *modified) {
|
||||
*modified = false;
|
||||
|
|
@ -40,6 +41,7 @@ Status RemovalPass::RemovalNodes::RunOnNode(std::shared_ptr<CacheOp> node, bool
|
|||
is_caching_ = false;
|
||||
return Status::OK();
|
||||
}
|
||||
#endif
|
||||
|
||||
// Perform ShuffleOp removal check.
|
||||
Status RemovalPass::RemovalNodes::RunOnNode(std::shared_ptr<ShuffleOp> node, bool *modified) {
|
||||
|
|
|
|||
|
|
@ -42,6 +42,7 @@ class RemovalPass : public TreePass {
|
|||
/// \brief Destructor
|
||||
~RemovalNodes() = default;
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
/// \brief Identifies the subtree below this node as a cached descendant tree.
|
||||
/// \param[in] node The node being visited
|
||||
/// \param[inout] modified Indicator if the node was changed at all
|
||||
|
|
@ -53,6 +54,7 @@ class RemovalPass : public TreePass {
|
|||
/// \param[inout] modified Indicator if the node was changed at all
|
||||
/// \return Status The error code return
|
||||
Status RunOnNode(std::shared_ptr<CacheOp> node, bool *modified) override;
|
||||
#endif
|
||||
|
||||
/// \brief Perform ShuffleOp removal check
|
||||
/// \param[in] node The node being visited
|
||||
|
|
|
|||
|
|
@ -30,7 +30,9 @@
|
|||
#include "minddata/dataset/include/iterator.h"
|
||||
#include "minddata/dataset/include/samplers.h"
|
||||
#include "minddata/dataset/include/type_id.h"
|
||||
#ifndef ENABLE_ANDROID
|
||||
#include "minddata/dataset/text/vocab.h"
|
||||
#endif
|
||||
|
||||
namespace mindspore {
|
||||
namespace dataset {
|
||||
|
|
@ -40,7 +42,9 @@ class DatasetOp;
|
|||
class DataSchema;
|
||||
class Tensor;
|
||||
class TensorShape;
|
||||
#ifndef ENABLE_ANDROID
|
||||
class Vocab;
|
||||
#endif
|
||||
|
||||
namespace api {
|
||||
|
||||
|
|
@ -57,14 +61,20 @@ class CocoDataset;
|
|||
class CSVDataset;
|
||||
class CsvBase;
|
||||
class ImageFolderDataset;
|
||||
#ifndef ENABLE_ANDROID
|
||||
class ManifestDataset;
|
||||
#endif
|
||||
class MnistDataset;
|
||||
class RandomDataset;
|
||||
class TextFileDataset;
|
||||
#ifndef ENABLE_ANDROID
|
||||
class VOCDataset;
|
||||
#endif
|
||||
// Dataset Op classes (in alphabetical order)
|
||||
class BatchDataset;
|
||||
#ifndef ENABLE_ANDROID
|
||||
class BuildVocabDataset;
|
||||
#endif
|
||||
class ConcatDataset;
|
||||
class MapDataset;
|
||||
class ProjectDataset;
|
||||
|
|
@ -210,6 +220,7 @@ std::shared_ptr<ImageFolderDataset> ImageFolder(const std::string &dataset_dir,
|
|||
const std::set<std::string> &extensions = {},
|
||||
const std::map<std::string, int32_t> &class_indexing = {});
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
/// \brief Function to create a ManifestDataset
|
||||
/// \notes The generated dataset has two columns ['image', 'label']
|
||||
/// \param[in] dataset_file The dataset file to be read
|
||||
|
|
@ -224,6 +235,7 @@ std::shared_ptr<ManifestDataset> Manifest(const std::string &dataset_file, const
|
|||
const std::shared_ptr<SamplerObj> &sampler = RandomSampler(),
|
||||
const std::map<std::string, int32_t> &class_indexing = {},
|
||||
bool decode = false);
|
||||
#endif
|
||||
|
||||
/// \brief Function to create a MnistDataset
|
||||
/// \notes The generated dataset has two columns ['image', 'label']
|
||||
|
|
@ -276,6 +288,7 @@ std::shared_ptr<TextFileDataset> TextFile(const std::vector<std::string> &datase
|
|||
ShuffleMode shuffle = ShuffleMode::kGlobal, int32_t num_shards = 1,
|
||||
int32_t shard_id = 0);
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
/// \brief Function to create a VOCDataset
|
||||
/// \notes The generated dataset has multi-columns :
|
||||
/// - task='Detection', column: [['image', dtype=uint8], ['bbox', dtype=float32], ['label', dtype=uint32],
|
||||
|
|
@ -293,6 +306,7 @@ std::shared_ptr<VOCDataset> VOC(const std::string &dataset_dir, const std::strin
|
|||
const std::string &mode = "train",
|
||||
const std::map<std::string, int32_t> &class_indexing = {}, bool decode = false,
|
||||
const std::shared_ptr<SamplerObj> &sampler = RandomSampler());
|
||||
#endif
|
||||
|
||||
/// \brief Function to create a ZipDataset
|
||||
/// \notes Applies zip to the dataset
|
||||
|
|
@ -356,6 +370,7 @@ class Dataset : public std::enable_shared_from_this<Dataset> {
|
|||
/// \return Shared pointer to the current BatchDataset
|
||||
std::shared_ptr<BatchDataset> Batch(int32_t batch_size, bool drop_remainder = false);
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
/// \brief Function to create a Vocab from source dataset
|
||||
/// \notes Build a vocab from a dataset. This would collect all the unique words in a dataset and return a vocab
|
||||
/// which contains top_k most frequent words (if top_k is specified)
|
||||
|
|
@ -373,6 +388,7 @@ class Dataset : public std::enable_shared_from_this<Dataset> {
|
|||
const std::pair<int64_t, int64_t> &freq_range = {0, kDeMaxFreq},
|
||||
int64_t top_k = kDeMaxTopk, const std::vector<std::string> &special_tokens = {},
|
||||
bool special_first = true);
|
||||
#endif
|
||||
|
||||
/// \brief Function to create a ConcatDataset
|
||||
/// \notes Concat the datasets in the input
|
||||
|
|
@ -753,6 +769,7 @@ class ImageFolderDataset : public Dataset {
|
|||
std::set<std::string> exts_;
|
||||
};
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
class ManifestDataset : public Dataset {
|
||||
public:
|
||||
/// \brief Constructor
|
||||
|
|
@ -777,6 +794,7 @@ class ManifestDataset : public Dataset {
|
|||
std::map<std::string, int32_t> class_index_;
|
||||
std::shared_ptr<SamplerObj> sampler_;
|
||||
};
|
||||
#endif
|
||||
|
||||
class MnistDataset : public Dataset {
|
||||
public:
|
||||
|
|
@ -873,6 +891,7 @@ class TextFileDataset : public Dataset {
|
|||
ShuffleMode shuffle_;
|
||||
};
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
class VOCDataset : public Dataset {
|
||||
public:
|
||||
/// \brief Constructor
|
||||
|
|
@ -904,6 +923,7 @@ class VOCDataset : public Dataset {
|
|||
bool decode_;
|
||||
std::shared_ptr<SamplerObj> sampler_;
|
||||
};
|
||||
#endif
|
||||
|
||||
// DERIVED DATASET CLASSES FOR DATASET OPS
|
||||
// (In alphabetical order)
|
||||
|
|
@ -933,6 +953,7 @@ class BatchDataset : public Dataset {
|
|||
std::map<std::string, std::pair<TensorShape, std::shared_ptr<Tensor>>> pad_map_;
|
||||
};
|
||||
|
||||
#ifndef ENABLE_ANDROID
|
||||
class BuildVocabDataset : public Dataset {
|
||||
public:
|
||||
/// \brief Constructor
|
||||
|
|
@ -959,6 +980,7 @@ class BuildVocabDataset : public Dataset {
|
|||
std::vector<std::string> special_tokens_;
|
||||
bool special_first_;
|
||||
};
|
||||
#endif
|
||||
|
||||
class ConcatDataset : public Dataset {
|
||||
public:
|
||||
|
|
|
|||
|
|
@ -187,7 +187,7 @@ void JpegSetSource(j_decompress_ptr cinfo, const void *data, int64_t datasize) {
|
|||
(*cinfo->mem->alloc_small)(reinterpret_cast<j_common_ptr>(cinfo), JPOOL_PERMANENT, sizeof(struct jpeg_source_mgr)));
|
||||
cinfo->src->init_source = JpegInitSource;
|
||||
cinfo->src->fill_input_buffer = JpegFillInputBuffer;
|
||||
#if defined(_WIN32) || defined(_WIN64)
|
||||
#if defined(_WIN32) || defined(_WIN64) || defined(ENABLE_ARM32)
|
||||
cinfo->src->skip_input_data = reinterpret_cast<void (*)(j_decompress_ptr, long)>(JpegSkipInputData);
|
||||
#else
|
||||
cinfo->src->skip_input_data = JpegSkipInputData;
|
||||
|
|
|
|||
|
|
@ -31,6 +31,7 @@ WordIdType Vocab::Lookup(const WordType &word) const {
|
|||
return itr == word2id_.end() ? kNoTokenExists : itr->second;
|
||||
}
|
||||
|
||||
#ifdef ENABLE_PYTHON
|
||||
Status Vocab::BuildFromPyList(const py::list &words, const py::list &special_tokens, bool prepend_special,
|
||||
std::shared_ptr<Vocab> *vocab) {
|
||||
// check of duplication on both words and special_tokens will be performed in python
|
||||
|
|
@ -61,6 +62,7 @@ Status Vocab::BuildFromPyDict(const py::dict &words, std::shared_ptr<Vocab> *voc
|
|||
*vocab = std::make_shared<Vocab>(std::move(word2id));
|
||||
return Status::OK();
|
||||
}
|
||||
#endif
|
||||
|
||||
void Vocab::append_word(const std::string &word) {
|
||||
if (word2id_.find(word) == word2id_.end()) {
|
||||
|
|
|
|||
|
|
@ -23,18 +23,23 @@
|
|||
#include <vector>
|
||||
|
||||
#include "minddata/dataset/util/status.h"
|
||||
#ifdef ENABLE_PYTHON
|
||||
#include "pybind11/pybind11.h"
|
||||
#include "pybind11/stl.h"
|
||||
#endif
|
||||
|
||||
namespace mindspore {
|
||||
namespace dataset {
|
||||
#ifdef ENABLE_PYTHON
|
||||
namespace py = pybind11;
|
||||
#endif
|
||||
|
||||
using WordIdType = int32_t;
|
||||
using WordType = std::string;
|
||||
|
||||
class Vocab {
|
||||
public:
|
||||
#ifdef ENABLE_PYTHON
|
||||
// Build a vocab from a python dictionary key is each word ,id needs to start from 2, no duplicate and continuous
|
||||
// @param const py::dict &words - a dictionary containing word, word id pair.
|
||||
// @param std::shared_ptr<Vocab> *vocab - return value, vocab object
|
||||
|
|
@ -56,6 +61,7 @@ class Vocab {
|
|||
// @return error code
|
||||
static Status BuildFromFile(const std::string &path, const std::string &delimiter, int32_t vocab_size,
|
||||
const py::list &special_tokens, bool prepend_special, std::shared_ptr<Vocab> *vocab);
|
||||
#endif
|
||||
|
||||
/// \brief Build a vocab from a c++ map. id needs to start from 2, no duplicate and continuous
|
||||
/// \param[in] words An unordered_map containing word, word id pair.
|
||||
|
|
|
|||
|
|
@ -16,7 +16,7 @@
|
|||
#include "minddata/dataset/util/services.h"
|
||||
|
||||
#include <limits.h>
|
||||
#if !defined(_WIN32) && !defined(_WIN64)
|
||||
#if !defined(_WIN32) && !defined(_WIN64) && !defined(__ANDROID__) && !defined(ANDROID)
|
||||
#include <sys/syscall.h>
|
||||
#else
|
||||
#include <stdlib.h>
|
||||
|
|
@ -31,7 +31,7 @@ namespace dataset {
|
|||
std::unique_ptr<Services> Services::instance_ = nullptr;
|
||||
std::once_flag Services::init_instance_flag_;
|
||||
|
||||
#if !defined(_WIN32) && !defined(_WIN64)
|
||||
#if !defined(_WIN32) && !defined(_WIN64) && !defined(__ANDROID__) && !defined(ANDROID)
|
||||
std::string Services::GetUserName() {
|
||||
char user[LOGIN_NAME_MAX];
|
||||
(void)getlogin_r(user, sizeof(user));
|
||||
|
|
|
|||
|
|
@ -63,7 +63,7 @@ class Services {
|
|||
|
||||
std::shared_ptr<MemoryPool> GetServiceMemPool() { return pool_; }
|
||||
|
||||
#if !defined(_WIN32) && !defined(_WIN64)
|
||||
#if !defined(_WIN32) && !defined(_WIN64) && !defined(__ANDROID__) && !defined(ANDROID)
|
||||
static std::string GetUserName();
|
||||
|
||||
static std::string GetHostName();
|
||||
|
|
|
|||
|
|
@ -16,7 +16,7 @@
|
|||
#include "minddata/dataset/util/sig_handler.h"
|
||||
#include <signal.h>
|
||||
#include <sys/types.h>
|
||||
#if !defined(_WIN32) && !defined(_WIN64)
|
||||
#if !defined(_WIN32) && !defined(_WIN64) && !defined(__ANDROID__) && !defined(ANDROID)
|
||||
#include <ucontext.h>
|
||||
#endif
|
||||
#include <unistd.h>
|
||||
|
|
@ -25,7 +25,7 @@
|
|||
namespace mindspore {
|
||||
namespace dataset {
|
||||
// Register the custom signal handlers
|
||||
#if !defined(_WIN32) && !defined(_WIN64)
|
||||
#if !defined(_WIN32) && !defined(_WIN64) && !defined(__ANDROID__) && !defined(ANDROID)
|
||||
void RegisterHandlers() {
|
||||
struct sigaction new_int_action;
|
||||
|
||||
|
|
|
|||
|
|
@ -22,7 +22,7 @@
|
|||
namespace mindspore {
|
||||
namespace dataset {
|
||||
// Register the custom signal handlers
|
||||
#if !defined(_WIN32) && !defined(_WIN64)
|
||||
#if !defined(_WIN32) && !defined(_WIN64) && !defined(__ANDROID__) && !defined(ANDROID)
|
||||
extern void RegisterHandlers();
|
||||
|
||||
// A signal handler for SIGINT. Drives interrupt to watchdog
|
||||
|
|
|
|||
|
|
@ -17,6 +17,9 @@
|
|||
#include "utils/ms_utils.h"
|
||||
#include "minddata/dataset/util/task_manager.h"
|
||||
#include "utils/log_adapter.h"
|
||||
#if defined(__ANDROID__) || defined(ANDROID)
|
||||
#include "minddata/dataset/util/services.h"
|
||||
#endif
|
||||
|
||||
namespace mindspore {
|
||||
namespace dataset {
|
||||
|
|
@ -29,6 +32,10 @@ void Task::operator()() {
|
|||
id_ = this_thread::get_id();
|
||||
std::stringstream ss;
|
||||
ss << id_;
|
||||
#if defined(__ANDROID__) || defined(ANDROID)
|
||||
// The thread id in Linux may be duplicate
|
||||
ss << Services::GetUniqueID();
|
||||
#endif
|
||||
MS_LOG(DEBUG) << my_name_ << " Thread ID " << ss.str() << " Started.";
|
||||
try {
|
||||
// Previously there is a timing hole where the thread is spawn but hit error immediately before we can set
|
||||
|
|
|
|||
|
|
@ -124,6 +124,7 @@ TaskManager::TaskManager() try : global_interrupt_(0),
|
|||
master_->is_master_ = true;
|
||||
#if !defined(_WIN32) && !defined(_WIN64)
|
||||
gMyTask = master_.get();
|
||||
#if !defined(__ANDROID__) && !defined(ANDROID)
|
||||
// Initialize the semaphore for the watchdog
|
||||
errno_t rc = sem_init(&sem_, 0, 0);
|
||||
if (rc == -1) {
|
||||
|
|
@ -131,6 +132,7 @@ TaskManager::TaskManager() try : global_interrupt_(0),
|
|||
std::terminate();
|
||||
}
|
||||
#endif
|
||||
#endif
|
||||
} catch (const std::exception &e) {
|
||||
MS_LOG(ERROR) << "MindData initialization failed: " << e.what() << ".";
|
||||
std::terminate();
|
||||
|
|
@ -145,14 +147,14 @@ TaskManager::~TaskManager() {
|
|||
watchdog_grp_ = nullptr;
|
||||
watchdog_ = nullptr;
|
||||
}
|
||||
#if !defined(_WIN32) && !defined(_WIN64)
|
||||
#if !defined(_WIN32) && !defined(_WIN64) && !defined(__ANDROID__) && !defined(ANDROID)
|
||||
(void)sem_destroy(&sem_);
|
||||
#endif
|
||||
}
|
||||
|
||||
Status TaskManager::DoServiceStart() {
|
||||
MS_LOG(INFO) << "Starting Task Manager.";
|
||||
#if !defined(_WIN32) && !defined(_WIN64)
|
||||
#if !defined(_WIN32) && !defined(_WIN64) && !defined(__ANDROID__) && !defined(ANDROID)
|
||||
// Create a watchdog for control-c
|
||||
std::shared_ptr<MemoryPool> mp = Services::GetInstance().GetServiceMemPool();
|
||||
// A dummy group just for the watchdog. We aren't really using it. But most code assumes a thread must
|
||||
|
|
@ -181,7 +183,7 @@ Status TaskManager::DoServiceStop() {
|
|||
|
||||
Status TaskManager::WatchDog() {
|
||||
TaskManager::FindMe()->Post();
|
||||
#if !defined(_WIN32) && !defined(_WIN64)
|
||||
#if !defined(_WIN32) && !defined(_WIN64) && !defined(__ANDROID__) && !defined(ANDROID)
|
||||
errno_t err = sem_wait(&sem_);
|
||||
if (err == -1) {
|
||||
RETURN_STATUS_UNEXPECTED("Errno = " + std::to_string(errno));
|
||||
|
|
|
|||
|
|
@ -16,7 +16,7 @@
|
|||
#ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_UTIL_TASK_MANAGER_H_
|
||||
#define MINDSPORE_CCSRC_MINDDATA_DATASET_UTIL_TASK_MANAGER_H_
|
||||
|
||||
#if !defined(_WIN32) && !defined(_WIN64)
|
||||
#if !defined(_WIN32) && !defined(_WIN64) && !defined(__ANDROID__) && !defined(ANDROID)
|
||||
#include <semaphore.h>
|
||||
#include <signal.h> // for sig_atomic_t
|
||||
#endif
|
||||
|
|
@ -92,7 +92,7 @@ class TaskManager : public Service {
|
|||
static void InterruptMaster(const Status &rc = Status::OK());
|
||||
|
||||
static void WakeUpWatchDog() {
|
||||
#if !defined(_WIN32) && !defined(_WIN64)
|
||||
#if !defined(_WIN32) && !defined(_WIN64) && !defined(__ANDROID__) && !defined(ANDROID)
|
||||
TaskManager &tm = TaskManager::GetInstance();
|
||||
(void)sem_post(&tm.sem_);
|
||||
#endif
|
||||
|
|
@ -113,7 +113,7 @@ class TaskManager : public Service {
|
|||
std::shared_ptr<Task> master_;
|
||||
List<Task> lru_;
|
||||
List<Task> free_lst_;
|
||||
#if !defined(_WIN32) && !defined(_WIN64)
|
||||
#if !defined(_WIN32) && !defined(_WIN64) && !defined(__ANDROID__) && !defined(ANDROID)
|
||||
sem_t sem_;
|
||||
#endif
|
||||
TaskGroup *watchdog_grp_;
|
||||
|
|
|
|||
|
|
@ -78,7 +78,7 @@ class Platform {
|
|||
#if defined(SYSTEM_ENV_POSIX)
|
||||
platform_ = kPlatformPosix;
|
||||
#elif defined(SYSTEM_ENV_POSIX_ANDROID)
|
||||
platform_ = kPlatformPosixAndroid
|
||||
platform_ = kPlatformPosixAndroid;
|
||||
#elif defined(SYSTEM_ENV_WINDOWS)
|
||||
platform_ = kPlatformWindows;
|
||||
#endif
|
||||
|
|
|
|||
|
|
@ -62,7 +62,8 @@ option(BUILD_CONVERTER "if build converter" on)
|
|||
option(ENABLE_FP16 "if build fp16 ops" off)
|
||||
option(SUPPORT_GPU "if support gpu" off)
|
||||
option(OFFLINE_COMPILE "if offline compile OpenCL kernel" off)
|
||||
option(BUILD_MINDDATA "" off)
|
||||
set(BUILD_MINDDATA "off" CACHE STRING "off, lite, or full")
|
||||
option(BUILD_MINDDATA_EXAMPLE "" on)
|
||||
|
||||
set(CMAKE_VERBOSE_MAKEFILE on)
|
||||
add_compile_definitions(USE_ANDROID_LOG)
|
||||
|
|
@ -172,7 +173,9 @@ if (BUILD_DEVICE)
|
|||
endif ()
|
||||
endif ()
|
||||
|
||||
if (BUILD_MINDDATA)
|
||||
if (BUILD_MINDDATA STREQUAL "lite" OR BUILD_MINDDATA STREQUAL "full")
|
||||
# TODO: add sentencepiece dependency
|
||||
#include(${TOP_DIR}/cmake/external_libs/sentencepiece.cmake)
|
||||
# opencv
|
||||
set(OpenCV_DIR ${TOP_DIR}/third_party/opencv/build)
|
||||
find_package(OpenCV REQUIRED)
|
||||
|
|
|
|||
|
|
@ -1,27 +1,190 @@
|
|||
set(MINDDATA_DIR ${CCSRC_DIR}/minddata/dataset)
|
||||
set(CMAKE_CXX_STANDARD 17)
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++17")
|
||||
set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS}")
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fPIC -Wall -Wno-deprecated-declarations")
|
||||
set(CMAKE_CXX_FLAGS_DEBUG "$ENV{CXXFLAGS} -O0 -g2 -ggdb")
|
||||
|
||||
set(CMAKE_CXX_FLAGS_DEBUG "$ENV{CXXFLAGS} -O0 -g2 -ggdb -fno-inline-functions -fno-omit-frame-pointer -D_LIBCPP_INLINE_VISIBILITY='' -D_LIBCPP_DISABLE_EXTERN_TEMPLATE=1 -DHALF_ENABLE_CPP11_USER_LITERALS=0 -D_FORTIFY_SOURCE=2 -Wno-cpp")
|
||||
|
||||
set(CMAKE_CXX_FLAGS "$ENV{CXXFLAGS} -I/usr/local/include -std=c++17 -Wall -fPIC")
|
||||
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${OPTION_CXX_FLAGS}")
|
||||
|
||||
if (PLATFORM_ARM64 OR PLATFORM_ARM32)
|
||||
set(CMAKE_CXX_FLAGS_RELEASE "$ENV{CXXFLAGS} -O2 -Werror -Wno-return-std-move -Wno-unused-private-field -Wno-unused-lambda-capture -Wno-sign-compare -Wno-overloaded-virtual -Wno-unneeded-internal-declaration -Wno-unused-variable -Wno-pessimizing-move -Wno-inconsistent-missing-override -DHALF_ENABLE_CPP11_USER_LITERALS=0 -D_FORTIFY_SOURCE=2")
|
||||
else()
|
||||
set(CMAKE_CXX_FLAGS_RELEASE "$ENV{CXXFLAGS} -O2 -Wl,--allow-shlib-undefined -DHALF_ENABLE_CPP11_USER_LITERALS=0 -D_FORTIFY_SOURCE=2")
|
||||
endif()
|
||||
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-non-virtual-dtor")
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-sign-compare")
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-unused-private-field")
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-reorder")
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-switch")
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-sequence-point")
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-unused-variable")
|
||||
if (PLATFORM_ARM64 OR PLATFORM_ARM32)
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-delete-non-virtual-dtor")
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-uninitialized")
|
||||
else()
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-delete-non-abstract-non-virtual-dtor")
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-maybe-uninitialized")
|
||||
endif()
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-format")
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-attributes")
|
||||
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fvisibility=default")
|
||||
|
||||
set(CMAKE_SHARED_LINKER_FLAGS_RELEASE "${CMAKE_SHARED_LINKER_FLAGS} -s")
|
||||
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/api MINDDATA_API_SRC_FILES)
|
||||
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/callback MINDDATA_CALLBACK_SRC_FILES)
|
||||
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/core MINDDATA_CORE_SRC_FILES)
|
||||
list(REMOVE_ITEM MINDDATA_CORE_SRC_FILES "${MINDDATA_DIR}/core/client.cc")
|
||||
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/engine MINDDATA_ENGINE_SRC_FILES)
|
||||
|
||||
# TODO: add cache
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/engine/cache MINDDATA_ENGINE_CACHE_SRC_FILES)
|
||||
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/engine/datasetops MINDDATA_ENGINE_DATASETOPS_SRC_FILES)
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/engine/datasetops/map_op MINDDATA_ENGINE_DATASETOPS_MAPOP_SRC_FILES)
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/engine/datasetops/source MINDDATA_ENGINE_DATASETOPS_SOURCE_SRC_FILES)
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/engine/datasetops/source/sampler MINDDATA_ENGINE_DATASETOPS_SOURCE_SAMPLER_SRC_FILES)
|
||||
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/engine/opt MINDDATA_ENGINE_OPT_SRC_FILES)
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/engine/opt/optional MINDDATA_ENGINE_OPT_OPTIONAL_SRC_FILES)
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/engine/opt/post MINDDATA_ENGINE_OPT_POST_SRC_FILES)
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/engine/opt/pre MINDDATA_ENGINE_OPT_PRE_SRC_FILES)
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/engine/opt/util MINDDATA_ENGINE_OPT_UTIL_SRC_FILES)
|
||||
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/engine/perf MINDDATA_ENGINE_PERF_SRC_FILES)
|
||||
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/kernels MINDDATA_KERNELS_SRC_FILES)
|
||||
list(REMOVE_ITEM MINDDATA_KERNELS_SRC_FILES "${MINDDATA_DIR}/kernels/py_func_op.cc")
|
||||
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/kernels/image MINDDATA_KERNELS_IMAGE_SRC_FILES)
|
||||
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/kernels/data MINDDATA_KERNELS_DATA_SRC_FILES)
|
||||
|
||||
add_library(minddata-eager OBJECT
|
||||
# TODO: add text src
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/text MINDDATA_TEXT_SRC_FILES)
|
||||
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/text/kernels MINDDATA_TEXT_KERNELS_SRC_FILES)
|
||||
|
||||
AUX_SOURCE_DIRECTORY(${MINDDATA_DIR}/util MINDDATA_UTIL_SRC_FILES)
|
||||
|
||||
if (BUILD_MINDDATA STREQUAL "full")
|
||||
list(REMOVE_ITEM MINDDATA_API_SRC_FILES
|
||||
"${MINDDATA_DIR}/api/text.cc"
|
||||
"${MINDDATA_DIR}/api/de_tensor.cc"
|
||||
"${MINDDATA_DIR}/api/execute.cc"
|
||||
)
|
||||
|
||||
list(REMOVE_ITEM MINDDATA_CALLBACK_SRC_FILES
|
||||
"${MINDDATA_DIR}/callback/py_ds_callback.cc"
|
||||
)
|
||||
|
||||
list(REMOVE_ITEM MINDDATA_KERNELS_SRC_FILES "${MINDDATA_DIR}/kernels/py_func_op.cc")
|
||||
list(REMOVE_ITEM MINDDATA_ENGINE_DATASETOPS_SRC_FILES
|
||||
"${MINDDATA_DIR}/engine/datasetops/build_sentence_piece_vocab_op.cc"
|
||||
"${MINDDATA_DIR}/engine/datasetops/filter_op.cc"
|
||||
"${MINDDATA_DIR}/engine/datasetops/barrier_op.cc"
|
||||
"${MINDDATA_DIR}/engine/datasetops/bucket_batch_by_length_op.cc"
|
||||
"${MINDDATA_DIR}/engine/datasetops/build_vocab_op.cc"
|
||||
"${MINDDATA_DIR}/engine/datasetops/cache_merge_op.cc"
|
||||
"${MINDDATA_DIR}/engine/datasetops/cache_base_op.cc"
|
||||
"${MINDDATA_DIR}/engine/datasetops/cache_lookup_op.cc"
|
||||
"${MINDDATA_DIR}/engine/datasetops/cache_op.cc"
|
||||
)
|
||||
|
||||
list(REMOVE_ITEM MINDDATA_ENGINE_DATASETOPS_SOURCE_SRC_FILES
|
||||
"${MINDDATA_DIR}/engine/datasetops/source/generator_op.cc"
|
||||
"${MINDDATA_DIR}/engine/datasetops/source/voc_op.cc"
|
||||
"${MINDDATA_DIR}/engine/datasetops/source/manifest_op.cc"
|
||||
"${MINDDATA_DIR}/engine/datasetops/source/mindrecord_op.cc"
|
||||
"${MINDDATA_DIR}/engine/datasetops/source/tf_reader_op.cc"
|
||||
)
|
||||
|
||||
list(REMOVE_ITEM MINDDATA_ENGINE_DATASETOPS_SOURCE_SAMPLER_SRC_FILES
|
||||
"${MINDDATA_DIR}/engine/datasetops/source/sampler/python_sampler.cc"
|
||||
)
|
||||
|
||||
list(REMOVE_ITEM MINDDATA_ENGINE_OPT_POST_SRC_FILES
|
||||
"${MINDDATA_DIR}/engine/opt/post/repeat_pass.cc"
|
||||
)
|
||||
|
||||
list(REMOVE_ITEM MINDDATA_ENGINE_OPT_PRE_SRC_FILES
|
||||
"${MINDDATA_DIR}/engine/opt/pre/cache_transform_pass.cc"
|
||||
)
|
||||
|
||||
include_directories("${CMAKE_BINARY_DIR}/minddata/dataset/engine/cache")
|
||||
|
||||
if (BUILD_MINDDATA_EXAMPLE AND (PLATFORM_ARM32 OR PLATFORM_ARM64))
|
||||
set(MINDDATA_EXAMPLE_SRC ${CMAKE_CURRENT_SOURCE_DIR}/example/jni-example.cc)
|
||||
endif()
|
||||
|
||||
add_library(minddata-lite SHARED
|
||||
${MINDDATA_API_SRC_FILES}
|
||||
${MINDDATA_CALLBACK_SRC_FILES}
|
||||
${MINDDATA_CORE_SRC_FILES}
|
||||
${MINDDATA_ENGINE_SRC_FILES}
|
||||
#${MINDDATA_ENGINE_CACHE_SRC_FILES}
|
||||
${MINDDATA_ENGINE_DATASETOPS_SRC_FILES}
|
||||
${MINDDATA_ENGINE_DATASETOPS_MAPOP_SRC_FILES}
|
||||
${MINDDATA_ENGINE_DATASETOPS_SOURCE_SRC_FILES}
|
||||
${MINDDATA_ENGINE_DATASETOPS_SOURCE_SAMPLER_SRC_FILES}
|
||||
${MINDDATA_ENGINE_OPT_SRC_FILES}
|
||||
${MINDDATA_ENGINE_OPT_OPTIONAL_SRC_FILES}
|
||||
${MINDDATA_ENGINE_OPT_POST_SRC_FILES}
|
||||
${MINDDATA_ENGINE_OPT_PRE_SRC_FILES}
|
||||
${MINDDATA_ENGINE_OPT_UTIL_SRC_FILES}
|
||||
${MINDDATA_ENGINE_PERF_SRC_FILES}
|
||||
${MINDDATA_KERNELS_SRC_FILES}
|
||||
${MINDDATA_KERNELS_IMAGE_SRC_FILES}
|
||||
${MINDDATA_KERNELS_DATA_SRC_FILES}
|
||||
${MINDDATA_UTIL_SRC_FILES}
|
||||
${MINDDATA_EXAMPLE_SRC}
|
||||
${CMAKE_CURRENT_SOURCE_DIR}/../src/common/log_adapter.cc
|
||||
${CORE_DIR}/utils/ms_utils.cc
|
||||
${CORE_DIR}/gvar/logging_level.cc
|
||||
${CCSRC_DIR}/utils/system/crc32c.cc
|
||||
)
|
||||
|
||||
target_link_libraries(minddata-lite
|
||||
securec
|
||||
jpeg-turbo
|
||||
jpeg
|
||||
opencv_core
|
||||
opencv_imgcodecs
|
||||
opencv_imgproc
|
||||
mindspore::json
|
||||
)
|
||||
|
||||
# ref: https://github.com/android/ndk/issues/1202
|
||||
if (PLATFORM_ARM32)
|
||||
file(GLOB_RECURSE LIBCLANG_RT_LIB $ENV{ANDROID_NDK}/libclang_rt.builtins-arm-android.a)
|
||||
if (LIBCLANG_RT_LIB STREQUAL "")
|
||||
MESSAGE(FATAL_ERROR "Cannot find libclang_rt.builtins-arm-androi2d.a in $ENV{ANDROID_NDK}")
|
||||
endif()
|
||||
target_link_libraries(minddata-lite ${LIBCLANG_RT_LIB})
|
||||
endif()
|
||||
|
||||
if (PLATFORM_ARM32 OR PLATFORM_ARM64)
|
||||
target_link_libraries(minddata-lite log)
|
||||
elseif (BUILD_MINDDATA_EXAMPLE)
|
||||
add_executable(mdlite-example ${CMAKE_CURRENT_SOURCE_DIR}/example/x86-example.cc)
|
||||
target_link_libraries(mdlite-example minddata-lite)
|
||||
add_custom_command(TARGET mdlite-example POST_BUILD
|
||||
COMMAND cp -rf ${CMAKE_CURRENT_SOURCE_DIR}/example/testCifar10Data ${CMAKE_BINARY_DIR}/minddata
|
||||
)
|
||||
endif()
|
||||
|
||||
elseif (BUILD_MINDDATA STREQUAL "lite")
|
||||
list(REMOVE_ITEM MINDDATA_CORE_SRC_FILES "${MINDDATA_DIR}/core/client.cc")
|
||||
list(REMOVE_ITEM MINDDATA_KERNELS_SRC_FILES "${MINDDATA_DIR}/kernels/py_func_op.cc")
|
||||
add_library(minddata-eager OBJECT
|
||||
${MINDDATA_DIR}/api/de_tensor.cc
|
||||
${MINDDATA_DIR}/api/execute.cc
|
||||
)
|
||||
|
||||
add_library(minddata-lite SHARED
|
||||
add_library(minddata-lite SHARED
|
||||
${MINDDATA_CORE_SRC_FILES}
|
||||
${MINDDATA_KERNELS_SRC_FILES}
|
||||
${MINDDATA_KERNELS_IMAGE_SRC_FILES}
|
||||
|
|
@ -34,7 +197,7 @@ add_library(minddata-lite SHARED
|
|||
${CORE_DIR}/gvar/logging_level.cc
|
||||
)
|
||||
|
||||
target_link_libraries(minddata-lite
|
||||
target_link_libraries(minddata-lite
|
||||
securec
|
||||
jpeg-turbo
|
||||
jpeg
|
||||
|
|
@ -42,4 +205,14 @@ target_link_libraries(minddata-lite
|
|||
opencv_imgcodecs
|
||||
opencv_imgproc
|
||||
mindspore::json
|
||||
)
|
||||
)
|
||||
|
||||
# ref: https://github.com/android/ndk/issues/1202
|
||||
if (PLATFORM_ARM32)
|
||||
file(GLOB_RECURSE LIBCLANG_RT_LIB $ENV{ANDROID_NDK}/libclang_rt.builtins-arm-android.a)
|
||||
if (LIBCLANG_RT_LIB STREQUAL "")
|
||||
MESSAGE(FATAL_ERROR "Cannot find libclang_rt.builtins-arm-androi2d.a in $ENV{ANDROID_NDK}")
|
||||
endif()
|
||||
target_link_libraries(minddata-lite ${LIBCLANG_RT_LIB})
|
||||
endif()
|
||||
endif()
|
||||
|
|
|
|||
|
|
@ -0,0 +1,95 @@
|
|||
/**
|
||||
* Copyright 2020 Huawei Technologies Co., Ltd
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
#include <jni.h>
|
||||
#include <string>
|
||||
#include <fstream>
|
||||
#include <iostream>
|
||||
#include <memory>
|
||||
#include "minddata/dataset/include/datasets.h"
|
||||
#include "minddata/dataset/util/path.h"
|
||||
#if defined(__ANDROID__) || defined(ANDROID)
|
||||
#include <android/log.h>
|
||||
#include <android/asset_manager.h>
|
||||
#endif
|
||||
|
||||
extern "C" JNIEXPORT jstring JNICALL
|
||||
Java_com_example_mindsporepredict_MainActivity_stringFromJNI(
|
||||
JNIEnv* env,
|
||||
jobject /* this */) {
|
||||
std::string hello = "Hello World!";
|
||||
MS_LOG(DEBUG) << hello;
|
||||
return env->NewStringUTF(hello.c_str());
|
||||
}
|
||||
|
||||
using Dataset = mindspore::dataset::api::Dataset;
|
||||
using Iterator = mindspore::dataset::api::Iterator;
|
||||
using mindspore::dataset::Tensor;
|
||||
using mindspore::dataset::Path;
|
||||
using mindspore::dataset::api::Cifar10;
|
||||
using mindspore::dataset::api::RandomSampler;
|
||||
|
||||
extern "C" JNIEXPORT void JNICALL
|
||||
Java_com_example_mindsporepredict_MainActivity_pathTest(
|
||||
JNIEnv* env,
|
||||
jobject /* this */,
|
||||
jstring path) {
|
||||
MS_LOG(WARNING) << env->GetStringUTFChars(path, 0);
|
||||
Path f(env->GetStringUTFChars(path, 0));
|
||||
MS_LOG(WARNING) << f.Exists() << f.IsDirectory() << f.ParentPath();
|
||||
// Print out the first few items in the directory
|
||||
auto dir_it = Path::DirIterator::OpenDirectory(&f);
|
||||
MS_LOG(WARNING) << dir_it.get();
|
||||
int i = 0;
|
||||
while (dir_it->hasNext()) {
|
||||
Path v = dir_it->next();
|
||||
MS_LOG(WARNING) << v.toString();
|
||||
i++;
|
||||
if (i > 5)
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
extern "C" JNIEXPORT void JNICALL
|
||||
Java_com_example_mindsporepredict_MainActivity_TestCifar10Dataset(
|
||||
JNIEnv* env,
|
||||
jobject /* this */,
|
||||
jstring path) {
|
||||
MS_LOG(INFO) << "Doing MindDataTestPipeline-TestCifar10Dataset.";
|
||||
|
||||
// Create a Cifar10 Dataset
|
||||
std::string folder_path = env->GetStringUTFChars(path, 0);
|
||||
std::shared_ptr<Dataset> ds = Cifar10(folder_path, RandomSampler(false, 10));
|
||||
|
||||
// Create an iterator over the result of the above dataset
|
||||
// This will trigger the creation of the Execution Tree and launch it.
|
||||
std::shared_ptr<Iterator> iter = ds->CreateIterator();
|
||||
|
||||
// Iterate the dataset and get each row
|
||||
std::unordered_map<std::string, std::shared_ptr<Tensor>> row;
|
||||
iter->GetNextRow(&row);
|
||||
|
||||
uint64_t i = 0;
|
||||
while (row.size() != 0) {
|
||||
i++;
|
||||
auto image = row["image"];
|
||||
MS_LOG(INFO) << "Tensor image shape: " << image->shape();
|
||||
iter->GetNextRow(&row);
|
||||
}
|
||||
|
||||
// Manually terminate the pipeline
|
||||
iter->Stop();
|
||||
}
|
||||
Binary file not shown.
|
|
@ -0,0 +1,55 @@
|
|||
/**
|
||||
* Copyright 2020 Huawei Technologies Co., Ltd
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
#include <string>
|
||||
#include <fstream>
|
||||
#include <iostream>
|
||||
#include <memory>
|
||||
#include "minddata/dataset/include/datasets.h"
|
||||
#include "minddata/dataset/util/path.h"
|
||||
|
||||
using Dataset = mindspore::dataset::api::Dataset;
|
||||
using Iterator = mindspore::dataset::api::Iterator;
|
||||
using mindspore::dataset::Tensor;
|
||||
using mindspore::dataset::api::Cifar10;
|
||||
using mindspore::dataset::api::RandomSampler;
|
||||
|
||||
int main() {
|
||||
MS_LOG(INFO) << "Doing MindDataTestPipeline-TestCifar10Dataset.";
|
||||
|
||||
// Create a Cifar10 Dataset
|
||||
std::string folder_path = "./testCifar10Data/";
|
||||
std::shared_ptr<Dataset> ds = Cifar10(folder_path, RandomSampler(false, 10));
|
||||
|
||||
// Create an iterator over the result of the above dataset
|
||||
// This will trigger the creation of the Execution Tree and launch it.
|
||||
std::shared_ptr<Iterator> iter = ds->CreateIterator();
|
||||
|
||||
// Iterate the dataset and get each row
|
||||
std::unordered_map<std::string, std::shared_ptr<Tensor>> row;
|
||||
iter->GetNextRow(&row);
|
||||
|
||||
uint64_t i = 0;
|
||||
while (row.size() != 0) {
|
||||
i++;
|
||||
auto image = row["image"];
|
||||
MS_LOG(INFO) << "Tensor image shape: " << image->shape();
|
||||
iter->GetNextRow(&row);
|
||||
}
|
||||
|
||||
// Manually terminate the pipeline
|
||||
iter->Stop();
|
||||
}
|
||||
|
|
@ -59,7 +59,7 @@ add_subdirectory(runtime/kernel/arm)
|
|||
if (PLATFORM_ARM32 OR PLATFORM_ARM64)
|
||||
target_link_libraries(mindspore-lite log)
|
||||
endif ()
|
||||
if (BUILD_MINDDATA)
|
||||
if (BUILD_MINDDATA STREQUAL "lite")
|
||||
target_link_libraries(mindspore-lite minddata-eager minddata-lite)
|
||||
endif ()
|
||||
|
||||
|
|
|
|||
|
|
@ -163,13 +163,14 @@ if (SUPPORT_GPU)
|
|||
)
|
||||
endif()
|
||||
### minddata lite
|
||||
if (BUILD_MINDDATA)
|
||||
if (BUILD_MINDDATA STREQUAL "lite")
|
||||
include_directories(${CCSRC_DIR}/minddata)
|
||||
set(DATASET_TEST_DIR ${TEST_DIR}/ut/src/dataset)
|
||||
set(TEST_MINDDATA_SRC
|
||||
${DATASET_TEST_DIR}/de_tensor_test.cc
|
||||
${DATASET_TEST_DIR}/eager_test.cc
|
||||
)
|
||||
elseif (BUILD_MINDDATA STREQUAL "full")
|
||||
endif()
|
||||
### runtime framework
|
||||
file(GLOB_RECURSE OPS_SRC ${LITE_DIR}/src/ops/*.cc)
|
||||
|
|
@ -354,7 +355,7 @@ endif ()
|
|||
add_executable(lite-test ${TEST_SRC})
|
||||
|
||||
target_link_libraries(lite-test dl ${GTEST_LIBRARY})
|
||||
if (BUILD_MINDDATA)
|
||||
if (BUILD_MINDDATA STREQUAL "lite")
|
||||
target_link_libraries(lite-test
|
||||
minddata-lite
|
||||
minddata-eager
|
||||
|
|
@ -362,6 +363,10 @@ if (BUILD_MINDDATA)
|
|||
if (PLATFORM_ARM32 OR PLATFORM_ARM64)
|
||||
target_link_libraries(lite-test log)
|
||||
endif()
|
||||
elseif(BUILD_MINDDATA STREQUAL "full")
|
||||
if (PLATFORM_ARM32 OR PLATFORM_ARM64)
|
||||
target_link_libraries(lite-test log)
|
||||
endif()
|
||||
endif()
|
||||
if (BUILD_CONVERTER)
|
||||
target_link_libraries(lite-test
|
||||
|
|
|
|||
|
|
@ -11,8 +11,8 @@ function Run_x86() {
|
|||
echo ${model_name} >> "${run_benchmark_log_file}"
|
||||
echo 'cd '${convertor_path}'/mindspore-lite-'${version}'-runtime-x86-'${process_unit_x86} >> "{run_benchmark_log_file}"
|
||||
cd ${convertor_path}/mindspore-lite-${version}-runtime-x86-${process_unit_x86} || return 1
|
||||
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib;./benchmark/benchmark --modelPath='${ms_models_path}'/'${model_name}'.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/'${model_name}'.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'.ms.out --warmUpLoopCount=1 --loopCount=1' >> "${run_benchmark_log_file}"
|
||||
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib;./benchmark/benchmark --modelPath=${ms_models_path}/${model_name}.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/${model_name}.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}.ms.out --warmUpLoopCount=1 --loopCount=1 >> "${run_benchmark_log_file}"
|
||||
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelPath='${ms_models_path}'/'${model_name}'.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/'${model_name}'.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'.ms.out --warmUpLoopCount=1 --loopCount=1' >> "${run_benchmark_log_file}"
|
||||
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelPath=${ms_models_path}/${model_name}.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/${model_name}.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}.ms.out --warmUpLoopCount=1 --loopCount=1 >> "${run_benchmark_log_file}"
|
||||
if [ $? = 0 ]; then
|
||||
run_result='x86: '${model_name}' pass'
|
||||
echo ${run_result} >> ${run_benchmark_result_file}
|
||||
|
|
@ -32,8 +32,8 @@ function Run_x86() {
|
|||
echo ${model_name} >> "${run_benchmark_log_file}"
|
||||
echo 'cd '${convertor_path}'/mindspore-lite-'${version}'-runtime-x86-'${process_unit_x86} >> "${run_benchmark_log_file}"
|
||||
cd ${convertor_path}/mindspore-lite-${version}-runtime-x86-${process_unit_x86} || return 1
|
||||
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib;./benchmark/benchmark --modelPath='${ms_models_path}'/'${model_name}'.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/'${model_name}'.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'.ms.out --warmUpLoopCount=1 --loopCount=1' >> "${run_benchmark_log_file}"
|
||||
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib;./benchmark/benchmark --modelPath=${ms_models_path}/${model_name}.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/${model_name}.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}.ms.out --warmUpLoopCount=1 --loopCount=1 >> "${run_benchmark_log_file}"
|
||||
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelPath='${ms_models_path}'/'${model_name}'.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/'${model_name}'.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'.ms.out --warmUpLoopCount=1 --loopCount=1' >> "${run_benchmark_log_file}"
|
||||
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelPath=${ms_models_path}/${model_name}.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/${model_name}.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}.ms.out --warmUpLoopCount=1 --loopCount=1 >> "${run_benchmark_log_file}"
|
||||
if [ $? = 0 ]; then
|
||||
run_result='x86: '${model_name}' pass'
|
||||
echo ${run_result} >> ${run_benchmark_result_file}
|
||||
|
|
@ -53,8 +53,8 @@ function Run_x86() {
|
|||
echo ${model_name} >> "${run_benchmark_log_file}"
|
||||
echo 'cd '${convertor_path}'/mindspore-lite-'${version}'-runtime-x86-'${process_unit_x86} >> "${run_benchmark_log_file}"
|
||||
cd ${convertor_path}/mindspore-lite-${version}-runtime-x86-${process_unit_x86} || return 1
|
||||
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib;./benchmark/benchmark --modelPath='${ms_models_path}'/'${model_name}'.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/'${model_name}'.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'.ms.out --warmUpLoopCount=1 --loopCount=1' >> "${run_benchmark_log_file}"
|
||||
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib;./benchmark/benchmark --modelPath=${ms_models_path}/${model_name}.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/${model_name}.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}.ms.out --warmUpLoopCount=1 --loopCount=1 >> "${run_benchmark_log_file}"
|
||||
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelPath='${ms_models_path}'/'${model_name}'.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/'${model_name}'.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'.ms.out --warmUpLoopCount=1 --loopCount=1' >> "${run_benchmark_log_file}"
|
||||
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelPath=${ms_models_path}/${model_name}.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/${model_name}.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}.ms.out --warmUpLoopCount=1 --loopCount=1 >> "${run_benchmark_log_file}"
|
||||
if [ $? = 0 ]; then
|
||||
run_result='x86: '${model_name}' pass'
|
||||
echo ${run_result} >> ${run_benchmark_result_file}
|
||||
|
|
@ -74,8 +74,8 @@ function Run_x86() {
|
|||
echo ${model_name} >> "${run_benchmark_log_file}"
|
||||
echo 'cd '${convertor_path}'/mindspore-lite-'${version}'-runtime-x86-'${process_unit_x86} >> "${run_benchmark_log_file}"
|
||||
cd ${convertor_path}/mindspore-lite-${version}-runtime-x86-${process_unit_x86} || return 1
|
||||
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib;./benchmark/benchmark --modelPath='${ms_models_path}'/'${model_name}'_posttraining.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/quantTraining/mnist_calibration_data/00099.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'_posttraining.ms.out --warmUpLoopCount=1 --loopCount=1' >> "${run_benchmark_log_file}"
|
||||
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib;./benchmark/benchmark --modelPath=${ms_models_path}/${model_name}_posttraining.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/quantTraining/mnist_calibration_data/00099.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}_posttraining.ms.out --warmUpLoopCount=1 --loopCount=1 >> "${run_benchmark_log_file}"
|
||||
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelPath='${ms_models_path}'/'${model_name}'_posttraining.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/quantTraining/mnist_calibration_data/00099.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'_posttraining.ms.out --warmUpLoopCount=1 --loopCount=1' >> "${run_benchmark_log_file}"
|
||||
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelPath=${ms_models_path}/${model_name}_posttraining.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/quantTraining/mnist_calibration_data/00099.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}_posttraining.ms.out --warmUpLoopCount=1 --loopCount=1 >> "${run_benchmark_log_file}"
|
||||
if [ $? = 0 ]; then
|
||||
run_result='x86: '${model_name}'_posttraining pass'
|
||||
echo ${run_result} >> ${run_benchmark_result_file}
|
||||
|
|
@ -95,8 +95,8 @@ function Run_x86() {
|
|||
echo ${model_name} >> "${run_benchmark_log_file}"
|
||||
echo 'cd '${convertor_path}'/mindspore-lite-'${version}'-runtime-x86-'${process_unit_x86} >> "${run_benchmark_log_file}"
|
||||
cd ${convertor_path}/mindspore-lite-${version}-runtime-x86-${process_unit_x86} || return 1
|
||||
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib;./benchmark/benchmark --modelPath='${ms_models_path}'/'${model_name}'.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/${model_name}.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'.ms.out --warmUpLoopCount=1 --loopCount=1 --numThreads=1' >> "${run_benchmark_log_file}"
|
||||
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib;./benchmark/benchmark --modelPath=${ms_models_path}/${model_name}.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/${model_name}.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}.ms.out --warmUpLoopCount=1 --loopCount=1 --numThreads=1 >> "${run_benchmark_log_file}"
|
||||
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelPath='${ms_models_path}'/'${model_name}'.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/${model_name}.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'.ms.out --warmUpLoopCount=1 --loopCount=1 --numThreads=1' >> "${run_benchmark_log_file}"
|
||||
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelPath=${ms_models_path}/${model_name}.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/${model_name}.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}.ms.out --warmUpLoopCount=1 --loopCount=1 --numThreads=1 >> "${run_benchmark_log_file}"
|
||||
if [ $? = 0 ]; then
|
||||
run_result='x86: '${model_name}'_awaretraining pass'
|
||||
echo ${run_result} >> ${run_benchmark_result_file}
|
||||
|
|
@ -116,8 +116,8 @@ function Run_x86() {
|
|||
echo ${model_name} >> "${run_benchmark_log_file}"
|
||||
echo 'cd '${convertor_path}'/mindspore-lite-'${version}'-runtime-x86-'${process_unit_x86} >> "${run_benchmark_log_file}"
|
||||
cd ${convertor_path}/mindspore-lite-${version}-runtime-x86-${process_unit_x86} || return 1
|
||||
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib;./benchmark/benchmark --modelPath='${ms_models_path}'/'${model_name}'.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/'${model_name}'.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'.ms.out --warmUpLoopCount=1 --loopCount=1' >> "${run_benchmark_log_file}"
|
||||
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib;./benchmark/benchmark --modelPath=${ms_models_path}/${model_name}.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/${model_name}.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}.ms.out --warmUpLoopCount=1 --loopCount=1 --accuracyThreshold=1.5 >> "${run_benchmark_log_file}"
|
||||
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelPath='${ms_models_path}'/'${model_name}'.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/'${model_name}'.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'.ms.out --warmUpLoopCount=1 --loopCount=1' >> "${run_benchmark_log_file}"
|
||||
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelPath=${ms_models_path}/${model_name}.ms --inDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/${model_name}.ms.bin --calibDataPath=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}.ms.out --warmUpLoopCount=1 --loopCount=1 --accuracyThreshold=1.5 >> "${run_benchmark_log_file}"
|
||||
if [ $? = 0 ]; then
|
||||
run_result='x86: '${model_name}' pass'
|
||||
echo ${run_result} >> ${run_benchmark_result_file}
|
||||
|
|
@ -498,6 +498,17 @@ rm -rf ${basepath}/benchmark_test
|
|||
mkdir -p ${basepath}/benchmark_test
|
||||
benchmark_test_path=${basepath}/benchmark_test
|
||||
cd ${benchmark_test_path} || exit 1
|
||||
|
||||
# If build with minddata, copy the minddata related libs
|
||||
if [ -f ${arm_path}/mindspore-lite-${version}-runtime-arm64-${process_unit_arm}/lib/libminddata-lite.so ]; then
|
||||
cp -a ${arm_path}/mindspore-lite-${version}-runtime-arm64-${process_unit_arm}/third_party/libjpeg-turbo/lib/libjpeg.so ${benchmark_test_path}/libjpeg.so || exit 1
|
||||
cp -a ${arm_path}/mindspore-lite-${version}-runtime-arm64-${process_unit_arm}/third_party/libjpeg-turbo/lib/libturbojpeg.so ${benchmark_test_path}/libturbojpeg.so || exit 1
|
||||
cp -a ${arm_path}/mindspore-lite-${version}-runtime-arm64-${process_unit_arm}/third_party/opencv/lib/libopencv_core.so ${benchmark_test_path}/libopencv_core.so || exit 1
|
||||
cp -a ${arm_path}/mindspore-lite-${version}-runtime-arm64-${process_unit_arm}/third_party/opencv/lib/libopencv_imgcodecs.so ${benchmark_test_path}/libopencv_imgcodecs.so || exit 1
|
||||
cp -a ${arm_path}/mindspore-lite-${version}-runtime-arm64-${process_unit_arm}/third_party/opencv/lib/libopencv_imgproc.so ${benchmark_test_path}/libopencv_imgproc.so || exit 1
|
||||
cp -a ${arm_path}/mindspore-lite-${version}-runtime-arm64-${process_unit_arm}/lib/libminddata-lite.so ${benchmark_test_path}/libminddata-lite.so || exit 1
|
||||
fi
|
||||
|
||||
cp -a ${arm_path}/mindspore-lite-${version}-runtime-arm64-${process_unit_arm}/lib/libmindspore-lite.so ${benchmark_test_path}/libmindspore-lite.so || exit 1
|
||||
cp -a ${arm_path}/mindspore-lite-${version}-runtime-arm64-${process_unit_arm}/lib/liboptimize.so ${benchmark_test_path}/liboptimize.so || exit 1
|
||||
cp -a ${arm_path}/mindspore-lite-${version}-runtime-arm64-${process_unit_arm}/benchmark/benchmark ${benchmark_test_path}/benchmark || exit 1
|
||||
|
|
|
|||
Loading…
Reference in New Issue