更换文档检测模型

paddle_detection/benchmark/run_all.sh

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+# Use docker: paddlepaddle/paddle:latest-gpu-cuda10.1-cudnn7  paddle=2.1.2  python3.7
+#
+# Usage:
+#   git clone https://github.com/PaddlePaddle/PaddleDetection.git
+#   cd PaddleDetection
+#   bash benchmark/run_all.sh
+log_path=${LOG_PATH_INDEX_DIR:-$(pwd)}  #  benchmark系统指定该参数,不需要跑profile时,log_path指向存speed的目录
+
+# run prepare.sh
+bash benchmark/prepare.sh
+
+model_name_list=(faster_rcnn fcos deformable_detr gfl hrnet higherhrnet solov2 jde fairmot)
+fp_item_list=(fp32)
+max_epoch=2
+
+for model_item in ${model_name_list[@]}; do
+      for fp_item in ${fp_item_list[@]}; do
+          case ${model_item} in
+              faster_rcnn) bs_list=(1 8) ;;
+              fcos) bs_list=(2) ;;
+              deformable_detr) bs_list=(2) ;;
+              gfl) bs_list=(2) ;;
+              hrnet) bs_list=(64) ;;
+              higherhrnet) bs_list=(20) ;;
+              solov2) bs_list=(2) ;;
+              jde) bs_list=(4) ;;
+              fairmot) bs_list=(6) ;;
+              *) echo "wrong model_name"; exit 1;
+          esac
+          for bs_item in ${bs_list[@]}
+            do
+            run_mode=sp
+            log_name=detection_${model_item}_bs${bs_item}_${fp_item}   # 如:clas_MobileNetv1_mp_bs32_fp32_8
+            echo "index is speed, 1gpus, begin, ${log_name}"
+            CUDA_VISIBLE_DEVICES=0 bash benchmark/run_benchmark.sh ${run_mode} ${bs_item} \
+             ${fp_item} ${max_epoch} ${model_item} | tee ${log_path}/${log_name}_speed_1gpus 2>&1
+            sleep 60
+
+            run_mode=mp
+            log_name=detection_${model_item}_bs${bs_item}_${fp_item}   # 如:clas_MobileNetv1_mp_bs32_fp32_8
+            echo "index is speed, 8gpus, run_mode is multi_process, begin, ${log_name}"
+            CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 bash benchmark/run_benchmark.sh ${run_mode} \
+             ${bs_item} ${fp_item} ${max_epoch} ${model_item}| tee ${log_path}/${log_name}_speed_8gpus8p 2>&1
+            sleep 60
+            done
+      done
+done