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!7788 add ml_face_mnet smoke test 

Merge pull request !7788 from xutianchun/ml_face_mnet
This commit is contained in:
mindspore-ci-bot 2020-10-27 21:15:31 +08:00 committed by Gitee
parent c79f245b2c 2f5fe427eb
commit cd3ab211a3
2 changed files with 66 additions and 0 deletions
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1
mindspore/lite/test/models_caffe_posttraining.cfg Normal file
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@ -0,0 +1 @@
ml_face_mnet

65
mindspore/lite/test/run_benchmark_nets.sh
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@ -114,6 +114,23 @@ function Run_Converter() {
fi
done < ${models_tflite_posttraining_config}
# Convert Caffe PostTraining models:
while read line; do
model_name=${line}
if [[ $model_name == \#* ]]; then
continue
fi
echo ${model_name} >> "${run_converter_log_file}"
echo 'convert mode name: '${model_name}' begin.'
echo './converter_lite --fmk=TFLITE --modelFile='${models_path}'/'${model_name}' --outputFile='${ms_models_path}'/'${model_name}_posttraining' --quantType=PostTraining --config_file='${models_path}'/'${model_name}'_posttraining.config' >> "${run_converter_log_file}"
./converter_lite --fmk=CAFFE --modelFile=$models_path/${model_name}.prototxt --weightFile=$models_path/${model_name}.caffemodel --outputFile=${ms_models_path}/${model_name}_posttraining --quantType=PostTraining --configFile=${models_path}/config.${model_name}
if [ $? = 0 ]; then
converter_result='converter post_training '${model_name}' pass';echo ${converter_result} >> ${run_converter_result_file}
else
converter_result='converter post_training '${model_name}' failed';echo ${converter_result} >> ${run_converter_result_file};return 1
fi
done < ${models_caffe_posttraining_config}
# Convert TFLite AwareTraining models:
while read line; do
model_name=${line}
@ -271,6 +288,24 @@ function Run_x86() {
fi
done < ${models_tflite_posttraining_config}
# Run caffe post training quantization converted models:
while read line; do
model_name=${line}
if [[ $model_name == \#* ]]; then
continue
fi
echo ${model_name} >> "${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-${process_unit_x86} || return 1
echo 'export LD_LIBRARY_PATH=$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}"
if [ $? = 0 ]; then
run_result='x86: '${model_name}' pass'; echo ${run_result} >> ${run_benchmark_result_file}
else
run_result='x86: '${model_name}' failed'; echo ${run_result} >> ${run_benchmark_result_file}; return 1
fi
done < ${models_caffe_posttraining_config}
# Run tflite aware training quantization converted models:
while read line; do
model_name=${line}
@ -479,6 +514,35 @@ function Run_arm64() {
fi
done < ${models_caffe_config}
# Run caffe posttraing models:
while read line; do
model_name=${line}
if [[ $model_name == \#* ]]; then
continue
fi
echo ${model_name} >> "${run_arm64_log_file}"
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' --numThreads=1 --accuracyThreshold=146 >> adb_run_cmd.txt
adb -s ${device_id} shell < adb_run_cmd.txt >> "${run_arm64_log_file}"
if [ $? = 0 ]; then
run_result='arm64: '${model_name}' pass'; echo ${run_result} >> ${run_benchmark_result_file}
else
run_result='arm64: '${model_name}' failed'; echo ${run_result} >> ${run_benchmark_result_file}; return 1
fi
# run benchmark test without clib data
echo ${model_name} >> "${run_arm64_log_file}"
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 --warmUpLoopCount=1 --loopCount=2' >> "${run_arm64_log_file}"
echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/data/local/tmp/benchmark_test;./benchmark --modelFile='${model_name}'_posttraining.ms --warmUpLoopCount=1 --loopCount=2' >> adb_run_cmd.txt
adb -s ${device_id} shell < adb_run_cmd.txt >> "${run_arm64_log_file}"
if [ $? = 0 ]; then
run_result='arm64: '${model_name}' pass'; echo ${run_result} >> ${run_benchmark_result_file}
else
run_result='arm64: '${model_name}' failed'; echo ${run_result} >> ${run_benchmark_result_file}; return 1
fi
done < ${models_caffe_posttraining_config}
# Run onnx converted models:
while read line; do
model_name=${line%;*}
@ -819,6 +883,7 @@ models_tflite_config=${basepath}/models_tflite.cfg
models_caffe_config=${basepath}/models_caffe.cfg
models_tflite_awaretraining_config=${basepath}/models_tflite_awaretraining.cfg
models_tflite_posttraining_config=${basepath}/models_tflite_posttraining.cfg
models_caffe_posttraining_config=${basepath}/models_caffe_posttraining.cfg
models_tflite_weightquant_config=${basepath}/models_tflite_weightquant.cfg
models_onnx_config=${basepath}/models_onnx.cfg
models_fp16_config=${basepath}/models_fp16.cfg