rename quant and prune
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868d3062ab
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777857ec89
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@ -76,7 +76,7 @@ for train_model in ${train_model_list[*]}; do
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wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_train.tar
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cd ./inference && tar xf ${eval_model_name}.tar && cd ../
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fi
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elif [ ${slim_trainer} = "quant" ]; then
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elif [ ${slim_trainer} = "pact" ]; then
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if [ ${model_name} = "det" ]; then
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eval_model_name="ch_ppocr_mobile_v2.0_det_quant_train"
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wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/slim/ch_ppocr_mobile_v2.0_det_quant_train.tar
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@ -96,7 +96,7 @@ for train_model in ${train_model_list[*]}; do
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wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/slim/ch_ppocr_mobile_v2.0_rec_distill_train.tar
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cd ./inference && tar xf ${eval_model_name}.tar && cd ../
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fi
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elif [ ${slim_trainer} = "prune" ]; then
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elif [ ${slim_trainer} = "fpgm" ]; then
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if [ ${model_name} = "det" ]; then
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eval_model_name="ch_ppocr_mobile_v2.0_det_prune_train"
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wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/slim/ch_ppocr_mobile_v2.0_det_prune_train.tar
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@ -1,7 +1,7 @@
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train_model_list: ocr_det
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gpu_list: -1|0|0,1
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auto_cast_list: False
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trainer_list: norm|quant
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auto_cast_list: False|True
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trainer_list: norm|pact|fpgm
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python: python3.7
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inference: python
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@ -75,6 +75,7 @@ ${python} -m pip install psutil;
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${python} -m pip install GPUtil;
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${python} -m pip install paddlesim==2.0.0
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function status_check(){
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last_status=$1 # the exit code
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run_model=$2
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@ -119,11 +120,11 @@ for train_model in ${train_model_list[*]}; do
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trainer="tools/train.py"
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export_model="tools/export_model.py"
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pretrain="./pretrain_models/MobileNetV3_large_x0_5_pretrained"
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elif [ ${slim_trainer} = "quant" ]; then
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elif [ ${slim_trainer} = "pact" ]; then
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trainer="deploy/slim/quantization/quant.py"
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export_model="deploy/slim/quantization/export_model.py"
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pretrain="./pretrain_models/det_mv3_db_v2.0_train/best_accuracy"
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elif [ ${slim_trainer} = "prune" ]; then
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elif [ ${slim_trainer} = "fpgm" ]; then
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trainer="deploy/slim/prune/sensitivity_anal.py"
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export_model="deploy/slim/prune/export_prune_model.py"
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pretrain="./pretrain_models/det_mv3_db_v2.0_train/best_accuracy"
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