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rename quant and prune

This commit is contained in:
LDOUBLEV 2021-06-17 12:02:05 +08:00
parent 868d3062ab
commit 777857ec89
3 changed files with 7 additions and 6 deletions
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4
test/infer.sh
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@ -76,7 +76,7 @@ for train_model in ${train_model_list[*]}; do
wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_train.tar wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_train.tar
cd ./inference && tar xf ${eval_model_name}.tar && cd ../ cd ./inference && tar xf ${eval_model_name}.tar && cd ../
fi fi
elif [ ${slim_trainer} = "quant" ]; then elif [ ${slim_trainer} = "pact" ]; then
if [ ${model_name} = "det" ]; then if [ ${model_name} = "det" ]; then
eval_model_name="ch_ppocr_mobile_v2.0_det_quant_train" eval_model_name="ch_ppocr_mobile_v2.0_det_quant_train"
wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/slim/ch_ppocr_mobile_v2.0_det_quant_train.tar wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/slim/ch_ppocr_mobile_v2.0_det_quant_train.tar
@ -96,7 +96,7 @@ for train_model in ${train_model_list[*]}; do
wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/slim/ch_ppocr_mobile_v2.0_rec_distill_train.tar wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/slim/ch_ppocr_mobile_v2.0_rec_distill_train.tar
cd ./inference && tar xf ${eval_model_name}.tar && cd ../ cd ./inference && tar xf ${eval_model_name}.tar && cd ../
fi fi
elif [ ${slim_trainer} = "prune" ]; then elif [ ${slim_trainer} = "fpgm" ]; then
if [ ${model_name} = "det" ]; then if [ ${model_name} = "det" ]; then
eval_model_name="ch_ppocr_mobile_v2.0_det_prune_train" eval_model_name="ch_ppocr_mobile_v2.0_det_prune_train"
wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/slim/ch_ppocr_mobile_v2.0_det_prune_train.tar wget -nc -P ./inference https://paddleocr.bj.bcebos.com/dygraph_v2.0/slim/ch_ppocr_mobile_v2.0_det_prune_train.tar

4
test/paddleocr_ci_params.txt
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@ -1,7 +1,7 @@
train_model_list: ocr_det train_model_list: ocr_det
gpu_list: -1|0|0,1 gpu_list: -1|0|0,1
auto_cast_list: False auto_cast_list: False|True
trainer_list: norm|quant trainer_list: norm|pact|fpgm
python: python3.7 python: python3.7
inference: python inference: python

5
test/test.sh
View File

@ -75,6 +75,7 @@ ${python} -m pip install psutil;
${python} -m pip install GPUtil; ${python} -m pip install GPUtil;
${python} -m pip install paddlesim==2.0.0 ${python} -m pip install paddlesim==2.0.0
function status_check(){ function status_check(){
last_status=$1 # the exit code last_status=$1 # the exit code
run_model=$2 run_model=$2
@ -119,11 +120,11 @@ for train_model in ${train_model_list[*]}; do
trainer="tools/train.py" trainer="tools/train.py"
export_model="tools/export_model.py" export_model="tools/export_model.py"
pretrain="./pretrain_models/MobileNetV3_large_x0_5_pretrained" pretrain="./pretrain_models/MobileNetV3_large_x0_5_pretrained"
elif [ ${slim_trainer} = "quant" ]; then elif [ ${slim_trainer} = "pact" ]; then
trainer="deploy/slim/quantization/quant.py" trainer="deploy/slim/quantization/quant.py"
export_model="deploy/slim/quantization/export_model.py" export_model="deploy/slim/quantization/export_model.py"
pretrain="./pretrain_models/det_mv3_db_v2.0_train/best_accuracy" pretrain="./pretrain_models/det_mv3_db_v2.0_train/best_accuracy"
elif [ ${slim_trainer} = "prune" ]; then elif [ ${slim_trainer} = "fpgm" ]; then
trainer="deploy/slim/prune/sensitivity_anal.py" trainer="deploy/slim/prune/sensitivity_anal.py"
export_model="deploy/slim/prune/export_prune_model.py" export_model="deploy/slim/prune/export_prune_model.py"
pretrain="./pretrain_models/det_mv3_db_v2.0_train/best_accuracy" pretrain="./pretrain_models/det_mv3_db_v2.0_train/best_accuracy"