m53297601
/
mindspore
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

add efficient smoke

Browse Source
pull/7842/head
guohongzilong 4 years ago
parent cd3ab211a3
commit c57dccd0af
4 changed files with 10 additions and 10 deletions
Show Stats Download Patch File Download Diff File

2
mindspore/lite/test/models_mindspore.cfg
Unescape View File

@ -6,6 +6,6 @@ inceptionv3.mindir
googlenet.mindir googlenet.mindir
retinaface.mindir retinaface.mindir
mobilefacenet.mindir mobilefacenet.mindir
# efficientnet.mindir efficientnet.mindir
resnext50.mindir resnext50.mindir
ocr_mobilenetV2.mindir ocr_mobilenetV2.mindir

2
mindspore/lite/test/models_mindspore_train.cfg
Unescape View File

@ -1 +1 @@
# efficientnet.mindir efficientnet.mindir

14
mindspore/lite/test/run_benchmark_nets.sh
Unescape View File

@ -298,7 +298,7 @@ function Run_x86() {
echo 'cd '${x86_path}'/mindspore-lite-'${version}'-runtime-x86-'${process_unit_x86} >> "${run_x86_log_file}" echo 'cd '${x86_path}'/mindspore-lite-'${version}'-runtime-x86-'${process_unit_x86} >> "${run_x86_log_file}"
cd ${x86_path}/mindspore-lite-${version}-runtime-x86-${process_unit_x86} || return 1 cd ${x86_path}/mindspore-lite-${version}-runtime-x86-${process_unit_x86} || return 1
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelFile='${ms_models_path}'/'${model_name}'_posttraining.ms --inDataFile=/home/workspace/mindspore_dataset/mslite/quantTraining/ml_face_mnet_calibration_data/20_Family_Group_Family_Group_20_1001.bin --benchmarkDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'_posttraining.ms.out' --accuracyThreshold=105 >> "${run_x86_log_file}" echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelFile='${ms_models_path}'/'${model_name}'_posttraining.ms --inDataFile=/home/workspace/mindspore_dataset/mslite/quantTraining/ml_face_mnet_calibration_data/20_Family_Group_Family_Group_20_1001.bin --benchmarkDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'_posttraining.ms.out' --accuracyThreshold=105 >> "${run_x86_log_file}"
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelFile=${ms_models_path}/${model_name}_posttraining.ms --inDataFile=/home/workspace/mindspore_dataset/mslite/quantTraining/ml_face_mnet_calibration_data/20_Family_Group_Family_Group_20_1001.bin --benchmarkDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}_posttraining.ms.out --numThreads=1 --accuracyThreshold=105 >> "${run_x86_log_file}" export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelFile=${ms_models_path}/${model_name}_posttraining.ms --inDataFile=/home/workspace/mindspore_dataset/mslite/quantTraining/ml_face_mnet_calibration_data/20_Family_Group_Family_Group_20_1001.bin --benchmarkDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}_posttraining.ms.out --accuracyThreshold=105 >> "${run_x86_log_file}"
if [ $? = 0 ]; then if [ $? = 0 ]; then
run_result='x86: '${model_name}' pass'; echo ${run_result} >> ${run_benchmark_result_file} run_result='x86: '${model_name}' pass'; echo ${run_result} >> ${run_benchmark_result_file}
else else
@ -333,8 +333,8 @@ function Run_x86() {
echo ${model_name}'_train' >> "${run_x86_log_file}" echo ${model_name}'_train' >> "${run_x86_log_file}"
echo 'cd '${x86_path}'/mindspore-lite-'${version}'-runtime-x86-'${process_unit_x86} >> "${run_x86_log_file}" echo 'cd '${x86_path}'/mindspore-lite-'${version}'-runtime-x86-'${process_unit_x86} >> "${run_x86_log_file}"
cd ${x86_path}/mindspore-lite-${version}-runtime-x86-${process_unit_x86} || return 1 cd ${x86_path}/mindspore-lite-${version}-runtime-x86-${process_unit_x86} || return 1
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelFile='${ms_models_path}'/'${model_name}'_train.ms --inDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/'${model_name}'.ms.bin --benchmarkDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'.ms.out' >> "${run_x86_log_file}" echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelFile='${ms_models_path}'/'${model_name}'_train.ms --inDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/'${model_name}'.ms.bin --benchmarkDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/'${model_name}'.train.ms.out' >> "${run_x86_log_file}"
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelFile=${ms_models_path}/${model_name}'_train'.ms --inDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/${model_name}.ms.bin --benchmarkDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}.ms.out --accuracyThreshold=1.5 >> "${run_x86_log_file}" export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./lib:./third_party/libjpeg-turbo/lib:./third_party/opencv/lib;./benchmark/benchmark --modelFile=${ms_models_path}/${model_name}'_train'.ms --inDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/input/${model_name}.ms.bin --benchmarkDataFile=/home/workspace/mindspore_dataset/mslite/models/hiai/input_output/output/${model_name}.train.ms.out --accuracyThreshold=1.5 >> "${run_x86_log_file}"
if [ $? = 0 ]; then if [ $? = 0 ]; then
run_result='x86: '${model_name}'_train pass'; echo ${run_result} >> ${run_benchmark_result_file} run_result='x86: '${model_name}'_train pass'; echo ${run_result} >> ${run_benchmark_result_file}
else else
@ -522,8 +522,8 @@ function Run_arm64() {
fi fi
echo ${model_name} >> "${run_arm64_log_file}" echo ${model_name} >> "${run_arm64_log_file}"
echo 'cd /data/local/tmp/benchmark_test' > adb_run_cmd.txt echo 'cd /data/local/tmp/benchmark_test' > adb_run_cmd.txt
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --modelFile='${model_name}'_posttraining.ms --inDataFile=/data/local/tmp/input_output/input/'${model_name}'_posttraining.ms.bin --benchmarkDataFile=/data/local/tmp/input_output/output/'${model_name}'_posttraining.ms.out' --numThreads=1 --accuracyThreshold=146 >> "${run_arm64_log_file}" echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --modelFile='${model_name}'_posttraining.ms --inDataFile=/data/local/tmp/input_output/input/'${model_name}'_posttraining.ms.bin --benchmarkDataFile=/data/local/tmp/input_output/output/'${model_name}'_posttraining.ms.out' --accuracyThreshold=146 >> "${run_arm64_log_file}"
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --modelFile='${model_name}'_posttraining.ms --inDataFile=/data/local/tmp/input_output/input/'${model_name}'_posttraining.ms.bin --benchmarkDataFile=/data/local/tmp/input_output/output/'${model_name}'_posttraining.ms.out' --numThreads=1 --accuracyThreshold=146 >> adb_run_cmd.txt echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --modelFile='${model_name}'_posttraining.ms --inDataFile=/data/local/tmp/input_output/input/'${model_name}'_posttraining.ms.bin --benchmarkDataFile=/data/local/tmp/input_output/output/'${model_name}'_posttraining.ms.out' --accuracyThreshold=146 >> adb_run_cmd.txt
adb -s ${device_id} shell < adb_run_cmd.txt >> "${run_arm64_log_file}" adb -s ${device_id} shell < adb_run_cmd.txt >> "${run_arm64_log_file}"
if [ $? = 0 ]; then if [ $? = 0 ]; then
run_result='arm64: '${model_name}' pass'; echo ${run_result} >> ${run_benchmark_result_file} run_result='arm64: '${model_name}' pass'; echo ${run_result} >> ${run_benchmark_result_file}
@ -735,8 +735,8 @@ function Run_arm64() {
fi fi
echo ${model_name}'_train' >> "${run_arm64_log_file}" echo ${model_name}'_train' >> "${run_arm64_log_file}"
echo 'cd /data/local/tmp/benchmark_test' > adb_run_cmd.txt echo 'cd /data/local/tmp/benchmark_test' > adb_run_cmd.txt
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --modelFile='${model_name}'_train.ms --inDataFile=/data/local/tmp/input_output/input/'${model_name}'.ms.bin --benchmarkDataFile=/data/local/tmp/input_output/output/'${model_name}'.ms.out --accuracyThreshold=1.5' >> "${run_arm64_log_file}" echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --modelFile='${model_name}'_train.ms --inDataFile=/data/local/tmp/input_output/input/'${model_name}'.ms.bin --benchmarkDataFile=/data/local/tmp/input_output/output/'${model_name}'.train.ms.out --accuracyThreshold=1.5' >> "${run_arm64_log_file}"
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --modelFile='${model_name}'_train.ms --inDataFile=/data/local/tmp/input_output/input/'${model_name}'.ms.bin --benchmarkDataFile=/data/local/tmp/input_output/output/'${model_name}'.ms.out --accuracyThreshold=1.5' >> adb_run_cmd.txt echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --modelFile='${model_name}'_train.ms --inDataFile=/data/local/tmp/input_output/input/'${model_name}'.ms.bin --benchmarkDataFile=/data/local/tmp/input_output/output/'${model_name}'.train.ms.out --accuracyThreshold=1.5' >> adb_run_cmd.txt
adb -s ${device_id} shell < adb_run_cmd.txt >> "${run_arm64_log_file}" adb -s ${device_id} shell < adb_run_cmd.txt >> "${run_arm64_log_file}"
if [ $? = 0 ]; then if [ $? = 0 ]; then
run_result='arm64: '${model_name}'_train pass'; echo ${run_result} >> ${run_benchmark_result_file} run_result='arm64: '${model_name}'_train pass'; echo ${run_result} >> ${run_benchmark_result_file}

2
mindspore/lite/test/win_models.cfg
Unescape View File

@ -3,7 +3,7 @@
1 retinaface.mindir 1 retinaface.mindir
1 mobilefacenet.mindir 1 mobilefacenet.mindir
1 ocr_mobilenetV2.mindir 1 ocr_mobilenetV2.mindir
# 2 efficientnet.mindir 2 efficientnet.mindir
3 gender_res_large_deploy 3 gender_res_large_deploy
3 ml_ocr_detect_20200305 3 ml_ocr_detect_20200305
3 hiai_cv_focusShootOCRModel_07 3 hiai_cv_focusShootOCRModel_07

Write Preview
Loading…
Cancel
Save