forked from mindspore-Ecosystem/mindspore
!15730 [MS][LITE][TOD] fix crash in transfer_learning code example
From: @ehaleva Reviewed-by: @HilbertDavid,@hangangqiang Signed-off-by: @HilbertDavid
This commit is contained in:
commit
a03bc179a2
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@ -1,6 +1,6 @@
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BASE_DIR=$(realpath ../../../../)
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APP:=bin/net_runner
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MSLIB:=mindspore-lite
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LMSLIB:=-lmindspore-lite-train
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LMDLIB:=-lminddata-lite
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MSDIR:=$(realpath package-$(TARGET)/lib)
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ifneq ("$(wildcard $(MSDIR)/libhiai.so)","")
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@ -23,10 +23,10 @@ ifeq ($(TARGET),arm64)
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CXX := ${ANDROID_NDK}/toolchains/llvm/prebuilt/linux-x86_64/bin/clang++
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CFLAGS += --target=aarch64-none-linux-android21 --gcc-toolchain=${ANDROID_NDK}/toolchains/llvm/prebuilt/linux-x86_64 --sysroot=${ANDROID_NDK}/toolchains/llvm/prebuilt/linux-x86_64/sysroot -fdata-sections -ffunction-sections
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LDFLAGS := --target=aarch64-none-linux-android21 --gcc-toolchain=${ANDROID_NDK}/toolchains/llvm/prebuilt/linux-x86_64 --sysroot=${ANDROID_NDK}/toolchains/llvm/prebuilt/linux-x86_64/sysroot -Wl,--gc-sections
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LDFLAGS += -L$(MSDIR) -l$(MSLIB) $(LMDLIB) $(LHIAILIB) -pthread -llog -latomic -lm -Wl,-rpath,$(MSDIR)
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LDFLAGS += -L$(MSDIR) $(LMSLIB) $(LMDLIB) $(LHIAILIB) -pthread -llog -latomic -lm -Wl,-rpath,$(MSDIR)
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else
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CFLAGS += -g
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LDFLAGS := -L$(MSDIR) -l$(MSLIB) $(LMDLIB) $(LHIAILIB) -lpthread -Wl,-rpath,$(MSDIR)
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LDFLAGS := -L$(MSDIR) $(LMSLIB) $(LMDLIB) $(LHIAILIB) -lpthread -Wl,-rpath,$(MSDIR)
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endif
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LD := ${CXX}
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@ -95,6 +95,7 @@ mv mindspore-* msl/
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cp -r dataset ${PACKAGE}
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echo "==========Compiling============"
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make clean
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make TARGET=${TARGET}
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# Copy the executable to the package
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@ -112,10 +113,6 @@ if [ "${TARGET}" == "arm64" ]; then
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echo "========Training on Device====="
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adb shell "cd /data/local/tmp/package-arm64 && /system/bin/sh train.sh"
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echo
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echo "===Evaluating trained Model====="
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adb shell "cd /data/local/tmp/package-arm64 && /system/bin/sh eval.sh"
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echo
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else
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cd ${PACKAGE} || exit 1
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echo "==Evaluating Untrained Model==="
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@ -124,8 +121,5 @@ else
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echo "======Training Locally========="
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./train.sh
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echo "===Evaluating trained Model====="
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./eval.sh
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cd ..
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fi
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@ -14,4 +14,4 @@
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# limitations under the License.
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# ============================================================================
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LD_LIBRARY_PATH=./lib/ bin/net_runner -b model/transfer_learning_tod_backbone.ms -f model/transfer_learning_tod_head.ms -e 100 -d dataset -s 20
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LD_LIBRARY_PATH=./lib/ bin/net_runner -b model/transfer_learning_tod_backbone.ms -f model/transfer_learning_tod_head.ms -e 100 -d dataset
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@ -211,7 +211,7 @@ int NetRunner::Main() {
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float acc = CalculateAccuracy(ds_.val_data());
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std::cout << "accuracy on validation data = " << acc << std::endl;
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if (cycles_ > 0) {
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if (cycles_ > 0 && head_model_ != nullptr) {
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auto trained_fn = ms_head_file_.substr(0, ms_head_file_.find_last_of('.')) + "_trained.ms";
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mindspore::lite::Model::Export(head_model_, trained_fn.c_str());
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}
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