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Commit 8a6bc665 authored by hysunflower's avatar hysunflower
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fix_log_name

parent 4eb97048
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benchmark/run_det.sh
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...@@ -2,6 +2,7 @@ ...@@ -2,6 +2,7 @@
# 提供可稳定复现性能的脚本，默认在标准docker环境内py37执行： paddlepaddle/paddle:latest-gpu-cuda10.1-cudnn7 paddle=2.1.2 py=37 # 提供可稳定复现性能的脚本，默认在标准docker环境内py37执行： paddlepaddle/paddle:latest-gpu-cuda10.1-cudnn7 paddle=2.1.2 py=37
# 执行目录: ./PaddleOCR # 执行目录: ./PaddleOCR
# 1 安装该模型需要的依赖 (如需开启优化策略请注明) # 1 安装该模型需要的依赖 (如需开启优化策略请注明)
log_path=${LOG_PATH_INDEX_DIR:-$(pwd)}
python -m pip install -r requirements.txt python -m pip install -r requirements.txt
# 2 拷贝该模型需要数据、预训练模型 # 2 拷贝该模型需要数据、预训练模型
wget -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/icdar2015.tar && cd train_data && tar xf icdar2015.tar && cd ../ wget -P ./train_data/ https://paddleocr.bj.bcebos.com/dygraph_v2.0/test/icdar2015.tar && cd train_data && tar xf icdar2015.tar && cd ../
...@@ -18,12 +19,12 @@ for model_mode in ${model_mode_list[@]}; do ...@@ -18,12 +19,12 @@ for model_mode in ${model_mode_list[@]}; do
for bs_item in ${bs_list[@]}; do for bs_item in ${bs_list[@]}; do
echo "index is speed, 1gpus, begin, ${model_name}" echo "index is speed, 1gpus, begin, ${model_name}"
run_mode=sp run_mode=sp
log_name=ocr_${model_mode}_${run_mode}_bs${bs_item}_${fp_item} log_name=ocr_${model_mode}_bs${bs_item}_${fp_item}
CUDA_VISIBLE_DEVICES=0 bash benchmark/run_benchmark_det.sh ${run_mode} ${bs_item} ${fp_item} 1 ${model_mode} | tee ${log_path}/${log_name}_speed_1gpus 2>&1 # (5min) CUDA_VISIBLE_DEVICES=0 bash benchmark/run_benchmark_det.sh ${run_mode} ${bs_item} ${fp_item} 1 ${model_mode} | tee ${log_path}/${log_name}_speed_1gpus 2>&1 # (5min)
sleep 60 sleep 60
echo "index is speed, 8gpus, run_mode is multi_process, begin, ${model_name}" echo "index is speed, 8gpus, run_mode is multi_process, begin, ${model_name}"
run_mode=mp run_mode=mp
log_name=ocr_${model_mode}_${run_mode}_bs${bs_item}_${fp_item} log_name=ocr_${model_mode}_bs${bs_item}_${fp_item}
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 bash benchmark/run_benchmark_det.sh ${run_mode} ${bs_item} ${fp_item} 2 ${model_mode} | tee ${log_path}/${log_name}_speed_8gpus8p 2>&1 CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 bash benchmark/run_benchmark_det.sh ${run_mode} ${bs_item} ${fp_item} 2 ${model_mode} | tee ${log_path}/${log_name}_speed_8gpus8p 2>&1
sleep 60 sleep 60
done done
......
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