Merge pull request #4797 from hysunflower/fix_log_name

fix_log_name

benchmark/run_benchmark_det.sh

@@ -17,7 +17,7 @@ function _set_params(){
     skip_steps=2                 # 解析日志，有些模型前几个step耗时长，需要跳过                                    (必填)
     keyword="ips:"               # 解析日志，筛选出数据所在行的关键字                                             (必填)
     index="1"
-    model_name=${model_item}_${run_mode}_bs${batch_size}_${fp_item}        # model_item 用于yml文件名匹配，model_name 用于数据入库前端展示
+    model_name=${model_item}_bs${batch_size}_${fp_item}        # model_item 用于yml文件名匹配，model_name 用于数据入库前端展示
 #   以下不用修改   
     device=${CUDA_VISIBLE_DEVICES//,/ }
     arr=(${device})

benchmark/run_det.sh

@@ -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
 # 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)
+log_path=${LOG_PATH_INDEX_DIR:-$(pwd)}
 python -m pip install -r requirements.txt
 # 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 ../
@@ -12,18 +13,22 @@ wget -P ./pretrain_models/ https://paddle-imagenet-models-name.bj.bcebos.com/dyg
 
 model_mode_list=(det_res18_db_v2.0 det_r50_vd_east det_r50_vd_pse)
 fp_item_list=(fp32)
-bs_list=(8 16)
 for model_mode in ${model_mode_list[@]}; do
       for fp_item in ${fp_item_list[@]}; do
+          if [ ${model_mode} == "det_r50_vd_east" ]; then
+              bs_list=(16)
+          else
+              bs_list=(8 16)
+          fi
           for bs_item in ${bs_list[@]}; do
             echo "index is speed, 1gpus, begin, ${model_name}"
             run_mode=sp
-            log_name=ocr_${model_mode}_${run_mode}_bs${bs_item}_${fp_item}
+            log_name=ocr_${model_mode}_bs${bs_item}_${fp_item}_${run_mode}
             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
             echo "index is speed, 8gpus, run_mode is multi_process, begin, ${model_name}"
             run_mode=mp
-            log_name=ocr_${model_mode}_${run_mode}_bs${bs_item}_${fp_item}
+            log_name=ocr_${model_mode}_bs${bs_item}_${fp_item}_${run_mode}
             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
             done