sync master add without minddata so aar
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@ -238,7 +238,9 @@ endif()
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if(MSLITE_ENABLE_TRAIN)
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set(SUPPORT_TRAIN on)
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set(MSLITE_MINDDATA_IMPLEMENT full)
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if(NOT MSLITE_MINDDATA_IMPLEMENT STREQUAL "off" OR NOT PLATFORM_ARM)
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set(MSLITE_MINDDATA_IMPLEMENT full)
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endif()
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endif()
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if(MSLITE_ENABLE_NPU)
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@ -596,7 +598,7 @@ if(MSLITE_ENABLE_TOOLS)
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endif()
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endif()
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if(NOT WIN32 AND MSLITE_ENABLE_TESTCASES)
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if(NOT WIN32 AND MSLITE_ENABLE_TESTCASES AND NOT MSLITE_MINDDATA_IMPLEMENT STREQUAL "off")
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add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/test)
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endif()
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@ -365,13 +365,21 @@ build_lite_arm64_and_jni() {
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is_train=off
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fi
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if [[ "X$is_train" = "Xon" ]]; then
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cp ./${pkg_name}/runtime/lib/*.so* ${LITE_JAVA_PATH}/java/app/libs/arm64-v8a/
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cp ./${pkg_name}/runtime/lib/*.so* ${LITE_JAVA_PATH}/native/libs/arm64-v8a/
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cp ./${pkg_name}/runtime/third_party/libjpeg-turbo/lib/*.so* ${LITE_JAVA_PATH}/java/app/libs/arm64-v8a/
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cp ./${pkg_name}/runtime/third_party/libjpeg-turbo/lib/*.so* ${LITE_JAVA_PATH}/native/libs/arm64-v8a/
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cp ./${pkg_name}/runtime/lib/libmindspore-lite*so* ${LITE_JAVA_PATH}/java/app/libs/arm64-v8a/
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cp ./${pkg_name}/runtime/lib/libmindspore-lite*so* ${LITE_JAVA_PATH}/native/libs/arm64-v8a/
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fi
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local npu_so=$pkg_name/runtime/third_party/hiai_ddk/lib/libhiai.so
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if [ -e "$npu_so" ]; then
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local minddata_so=${pkg_name}/runtime/lib/libminddata-lite.so
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if [ -e "${minddata_so}" ]; then
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cp ./${pkg_name}/runtime/lib/libminddata-lite.so ${LITE_JAVA_PATH}/java/app/libs/arm64-v8a/
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cp ./${pkg_name}/runtime/lib/libminddata-lite.so ${LITE_JAVA_PATH}/native/libs/arm64-v8a/
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fi
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local jpeg_turbo_dir=${pkg_name}/runtime/third_party/libjpeg-turbo/lib
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if [ -e "$jpeg_turbo_dir" ]; then
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cp ./${pkg_name}/runtime/third_party/libjpeg-turbo/lib/*.so* ${LITE_JAVA_PATH}/java/app/libs/arm64-v8a/
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cp ./${pkg_name}/runtime/third_party/libjpeg-turbo/lib/*.so* ${LITE_JAVA_PATH}/native/libs/arm64-v8a/
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fi
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local npu_so=${pkg_name}/runtime/third_party/hiai_ddk/lib/libhiai.so
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if [ -e "${npu_so}" ]; then
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cp ./${pkg_name}/runtime/third_party/hiai_ddk/lib/*.so* ${LITE_JAVA_PATH}/java/app/libs/arm64-v8a/
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cp ./${pkg_name}/runtime/third_party/hiai_ddk/lib/*.so* ${LITE_JAVA_PATH}/native/libs/arm64-v8a/
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fi
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@ -415,10 +423,18 @@ build_lite_arm32_and_jni() {
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is_train=off
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fi
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if [[ "X$is_train" = "Xon" ]]; then
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cp ./${pkg_name}/runtime/lib/*.so* ${LITE_JAVA_PATH}/java/app/libs/armeabi-v7a/
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cp ./${pkg_name}/runtime/lib/*.so* ${LITE_JAVA_PATH}/native/libs/armeabi-v7a/
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cp ./${pkg_name}/runtime/third_party/libjpeg-turbo/lib/*.so* ${LITE_JAVA_PATH}/java/app/libs/armeabi-v7a/
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cp ./${pkg_name}/runtime/third_party/libjpeg-turbo/lib/*.so* ${LITE_JAVA_PATH}/native/libs/armeabi-v7a/
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cp ./${pkg_name}/runtime/lib/libmindspore-lite*so* ${LITE_JAVA_PATH}/java/app/libs/armeabi-v7a/
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cp ./${pkg_name}/runtime/lib/libmindspore-lite*so* ${LITE_JAVA_PATH}/native/libs/armeabi-v7a/
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fi
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local minddata_so=${pkg_name}/runtime/lib/libminddata-lite.so
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if [ -e "${minddata_so}" ]; then
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cp ./${pkg_name}/runtime/lib/libminddata-lite.so ${LITE_JAVA_PATH}/java/app/libs/armeabi-v7a/
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cp ./${pkg_name}/runtime/lib/libminddata-lite.so ${LITE_JAVA_PATH}/native/libs/armeabi-v7a/
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fi
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local jpeg_turbo_dir=${pkg_name}/runtime/third_party/libjpeg-turbo/lib
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if [ -e "$jpeg_turbo_dir" ]; then
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cp ./${pkg_name}/runtime/third_party/libjpeg-turbo/lib/*.so* ${LITE_JAVA_PATH}/java/app/libs/armeabi-v7a/
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cp ./${pkg_name}/runtime/third_party/libjpeg-turbo/lib/*.so* ${LITE_JAVA_PATH}/native/libs/armeabi-v7a/
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fi
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local npu_so=$pkg_name/runtime/third_party/hiai_ddk/lib/libhiai.so
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if [ -e "$npu_so" ]; then
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@ -490,13 +506,17 @@ build_aar() {
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cp ${LITE_JAVA_PATH}/build/libs/mindspore-lite-java.jar ${LITE_JAVA_PATH}/java/app/libs
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${gradle_command} clean -p ${LITE_JAVA_PATH}/java/app
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${gradle_command} assembleRelease -p ${LITE_JAVA_PATH}/java/app
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${gradle_command} publish -PLITE_VERSION=${VERSION_STR} -p ${LITE_JAVA_PATH}/java/app
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cd ${LITE_JAVA_PATH}/java/app/build
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[ -n "${BASEPATH}" ] && rm -rf ${BASEPATH}/output/*.tar.gz*
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zip -r ${BASEPATH}/output/mindspore-lite-maven-${VERSION_STR}.zip mindspore
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cd ${BASEPATH}/output
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sha256sum mindspore-lite-maven-${VERSION_STR}.zip > mindspore-lite-maven-${VERSION_STR}.zip.sha256
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local minddata_so=${LITE_JAVA_PATH}/java/app/libs/arm64-v8a/libminddata-lite.so
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if [ -e "${minddata_so}" ]; then
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cp ${LITE_JAVA_PATH}/java/app/build/outputs/aar/mindspore-lite.aar ${BASEPATH}/output/mindspore-lite-full-${VERSION_STR}.aar
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sha256sum ${BASEPATH}/output/mindspore-lite-full-${VERSION_STR}.aar > ${BASEPATH}/output/mindspore-lite-full-${VERSION_STR}.aar.sha256
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else
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cp ${LITE_JAVA_PATH}/java/app/build/outputs/aar/mindspore-lite.aar ${BASEPATH}/output/mindspore-lite-${VERSION_STR}.aar
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sha256sum ${BASEPATH}/output/mindspore-lite-${VERSION_STR}.aar > ${BASEPATH}/output/mindspore-lite-${VERSION_STR}.aar.sha256
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fi
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}
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update_submodule()
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@ -36,20 +36,3 @@ dependencies {
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implementation fileTree(dir: "libs", include: ["*.jar"])
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}
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publishing {
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repositories {
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maven {
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url uri("build")
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}
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}
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publications {
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maven(MavenPublication) {
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groupId = 'mindspore'
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artifactId = 'mindspore-lite'
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version = project.hasProperty("LITE_VERSION") ? LITE_VERSION : ""
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String path = project.buildDir.path + File.separator + "outputs" + File.separator + "aar" + File.separator + "mindspore-lite.aar";
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artifact(path)
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}
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}
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}
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@ -29,6 +29,7 @@ set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -DMS_VERSION_MAJOR=${MS_VERSION_MAJOR} -DMS_
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -DMS_VERSION_MAJOR=${MS_VERSION_MAJOR} -DMS_VERSION_MINOR=${MS_VERSION_MINOR} \
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-DMS_VERSION_REVISION=${MS_VERSION_REVISION}")
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++17")
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set(CMAKE_SKIP_BUILD_RPATH on)
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#set for cross-compiling toolchain
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set(CMAKE_FIND_ROOT_PATH_MODE_LIBRARY BOTH)
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@ -89,7 +90,7 @@ else()
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endif()
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if(SUPPORT_TRAIN)
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set(LITE_TRAIN_SO_NAME mindspore-lite-train minddata-lite)
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set(LITE_TRAIN_SO_NAME mindspore-lite-train)
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set(JNI_TRAIN_SRC
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${CMAKE_CURRENT_SOURCE_DIR}/runtime/train_session.cpp
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${NEW_NATIVE_DIR}/train_config.cpp
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@ -73,15 +73,16 @@ set(API_SRC ${CXX_API_SRCS} ${C_API_SRCS})
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if(NOT MSLITE_ENABLE_RUNTIME_CONVERT)
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set(API_SRC ${API_SRC} ${CORE_DIR}/utils/status.cc)
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endif()
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file(GLOB CXX_API_TRAIN_SRCS
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${CMAKE_CURRENT_SOURCE_DIR}/cxx_api/train/*.cc
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${CMAKE_CURRENT_SOURCE_DIR}/cxx_api/metrics/*.cc
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${CMAKE_CURRENT_SOURCE_DIR}/cxx_api/callback/*.cc
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)
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set(API_TRAIN_SRC
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${CXX_API_TRAIN_SRCS}
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)
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if(MSLITE_MINDDATA_IMPLEMENT STREQUAL "full")
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file(GLOB CXX_API_TRAIN_SRCS
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${CMAKE_CURRENT_SOURCE_DIR}/cxx_api/train/*.cc
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${CMAKE_CURRENT_SOURCE_DIR}/cxx_api/metrics/*.cc
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${CMAKE_CURRENT_SOURCE_DIR}/cxx_api/callback/*.cc
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)
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set(API_TRAIN_SRC
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${CXX_API_TRAIN_SRCS}
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)
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endif()
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if(SUPPORT_NPU)
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include_directories(${DDK_PATH})
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@ -230,14 +231,19 @@ if(MSLITE_GPU_BACKEND STREQUAL cuda)
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${CUDA_RUNTIME_SRC}
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)
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endif()
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if(MSLITE_MINDDATA_IMPLEMENT STREQUAL "full")
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set(TRAIN_SRC_WITH_MD
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${CMAKE_CURRENT_SOURCE_DIR}/train/train_loop.cc
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)
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endif()
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set(TRAIN_SRC
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${API_TRAIN_SRC}
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${TRAIN_SRC_WITH_MD}
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${CMAKE_CURRENT_SOURCE_DIR}/common/quant_utils.cc
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${CMAKE_CURRENT_SOURCE_DIR}/train/train_populate_parameter.cc
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${CMAKE_CURRENT_SOURCE_DIR}/train/train_session.cc
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${CMAKE_CURRENT_SOURCE_DIR}/train/graph_fusion.cc
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${CMAKE_CURRENT_SOURCE_DIR}/train/transfer_session.cc
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${CMAKE_CURRENT_SOURCE_DIR}/train/train_loop.cc
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${CMAKE_CURRENT_SOURCE_DIR}/train/train_utils.cc
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${CMAKE_CURRENT_SOURCE_DIR}/train/loss_monitor.cc
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${CMAKE_CURRENT_SOURCE_DIR}/train/lr_scheduler.cc
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add_library(mindspore-lite-train SHARED $<TARGET_OBJECTS:lite_train_src_mid>)
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set_target_properties(mindspore-lite-train PROPERTIES OUTPUT_NAME "mindspore-lite-train")
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set_target_properties(mindspore-lite-train PROPERTIES CLEAN_DIRECT_OUTPUT 1)
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target_link_libraries(mindspore-lite-train minddata-lite mindspore-lite)
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if(MSLITE_MINDDATA_IMPLEMENT STREQUAL "full")
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target_link_libraries(mindspore-lite-train minddata-lite mindspore-lite)
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else()
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target_link_libraries(mindspore-lite-train mindspore-lite)
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endif()
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add_library(mindspore-lite-train_static STATIC $<TARGET_OBJECTS:lite_train_src_mid>)
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set_target_properties(mindspore-lite-train_static PROPERTIES OUTPUT_NAME "mindspore-lite-train")
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set_target_properties(mindspore-lite-train_static PROPERTIES CLEAN_DIRECT_OUTPUT 1)
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target_link_libraries(mindspore-lite-train_static minddata-lite mindspore-lite)
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if(MSLITE_MINDDATA_IMPLEMENT STREQUAL "full")
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target_link_libraries(mindspore-lite-train_static minddata-lite mindspore-lite)
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else()
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target_link_libraries(mindspore-lite-train_static mindspore-lite)
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endif()
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endif()
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########################## build optimize and float16 library #################################
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@ -17,15 +17,15 @@ endif()
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if(PLATFORM_ARM32 OR PLATFORM_ARM64)
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if(SUPPORT_NPU AND ANDROID_STL STREQUAL "c++_static")
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target_link_libraries(benchmark_train mindspore-lite minddata-lite mindspore-lite-train c++_shared)
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target_link_libraries(benchmark_train mindspore-lite mindspore-lite-train c++_shared)
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else()
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target_link_libraries(benchmark_train mindspore-lite minddata-lite mindspore-lite-train)
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target_link_libraries(benchmark_train mindspore-lite mindspore-lite-train)
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endif()
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else()
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if(WIN32)
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target_link_libraries(benchmark_train mindspore-lite_static mindspore-lite-train_static pthread cpu_kernel_mid
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nnacl_mid minddata-lite)
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nnacl_mid)
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else()
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target_link_libraries(benchmark_train mindspore-lite mindspore-lite-train pthread minddata-lite)
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target_link_libraries(benchmark_train mindspore-lite mindspore-lite-train pthread)
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endif()
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endif()
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@ -136,12 +136,7 @@ bool MetaGraphSerializer::Init(const schema::MetaGraphT &graph, const std::strin
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MS_LOG(ERROR) << "Malloc data for file head failed";
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return false;
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}
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auto ret = memset_s(head_data, kExternalDataHeadSize, 0, kExternalDataHeadSize);
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if (ret != EOK) {
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MS_LOG(ERROR) << "memset failed: " << ret;
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free(head_data);
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return false;
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}
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memset(head_data, 0, kExternalDataHeadSize);
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// magic number of weight file: 0x12345678
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auto sum_data = reinterpret_cast<uint32_t *>(head_data);
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sum_data[0] = 0x12345678;
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@ -25,7 +25,7 @@ function android_release_package()
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rm -rf ${pkg_name}
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tar -xzf ${input_path}/android_${arch}/${device}/${pkg_name}.tar.gz
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# Copy java runtime to Android package
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cp ${input_path}/aar/mindspore-lite-*maven*.zip ${pkg_name}
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cp ${input_path}/aar/mindspore-lite-*.aar ${pkg_name}
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mkdir -p ${output_path}/release/android/${device}/
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tar -czf ${output_path}/release/android/${device}/${pkg_name}.tar.gz ${pkg_name}
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