diff --git a/PyTorch/dev/cv/image_classification/2D_Unet_ID0624_for_PyTorch/test/train_performance_16p.sh b/PyTorch/dev/cv/image_classification/2D_Unet_ID0624_for_PyTorch/test/train_performance_16p.sh
new file mode 100644
index 0000000000000000000000000000000000000000..cff304ed2b1e884cd43873500eb8a05e552d8112
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+++ b/PyTorch/dev/cv/image_classification/2D_Unet_ID0624_for_PyTorch/test/train_performance_16p.sh
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+#!/bin/bash
+
+cur_path=`pwd`/../
+#失败用例打屏
+export ASCEND_SLOG_PRINT_TO_STDOUT=0
+
+source /usr/local/Ascend/bin/setenv.bash
+
+export PATH=/usr/local/hdf5/bin:$PATH
+export LD_LIBRARY_PATH=/usr/local/hdf5/lib:$LD_LIBRARY_PATH
+export LIBRARY_PATH=/usr/local/hdf5/lib:$LIBRARY_PATH
+export CPATH=/usr/local/hdf5/include:$CPATH
+
+#基础参数，需要模型审视修改
+#Batch Size
+batch_size=1
+#网络名称，同目录名称
+Network="2D_Unet_ID0624_for_PyTorch"
+#Device数量，单卡默认为1
+RANK_SIZE=16
+#训练epoch，可选
+train_epochs=1
+#训练step
+train_steps=
+#学习率
+learning_rate=1e-3
+#参数配置
+data_path=""
+conf_path=""
+server_index=""
+fix_node_ip=""
+
+if [[ $1 == --help || $1 == --h ]];then
+        echo "usage:./train_performance_1p.sh "
+        exit 1
+fi
+
+for para in $*
+do
+        if [[ $para == --data_path* ]];then
+                data_path=`echo ${para#*=}`
+        elif [[ $para == --conf_path* ]];then
+          conf_path=`echo ${para#*=}`
+  elif [[ $para == --server_index* ]];then
+          server_index=`echo ${para#*=}`
+  elif [[ $para == --fix_node_ip* ]];then
+          fix_node_ip=`echo ${para#*=}`
+        fi
+done
+
+if [[ $data_path  == "" ]];then
+        echo "[Error] para \"data_path\" must be config"
+        exit 1
+fi
+
+one_node_ip=`find $conf_path -name "server_*0.info"|awk -F "server_" '{print $2}'|awk -F "_" '{print $1}'`
+linux_num=`find $conf_path -name "server_*.info" |wc -l`
+
+export HCCL_IF_IP=$fix_node_ip
+export MASTER_ADDR=$one_node_ip
+
+##############执行训练##########
+cd $cur_path
+if [ -d $cur_path/test/output ];then
+        rm -rf $cur_path/test/output/*
+        mkdir -p $cur_path/test/output/$ASCEND_DEVICE_ID
+else
+        mkdir -p $cur_path/test/output/$ASCEND_DEVICE_ID
+fi
+wait
+
+
+export NPU_CALCULATE_DEVICE=$ASCEND_DEVICE_ID
+sed -i "s|data/imgs/|$data_path/imgs/|g" $cur_path/train.py
+sed -i "s|data/masks/|$data_path/masks/|g" $cur_path/train.py
+#sed -i "s|if global_step == 100: pass|if global_step == 100: break|g" $cur_path/train.py
+start=$(date +%s)
+#nohup python3 train.py -e $train_epochs > $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log 2>&1 &
+
+
+export HCCL_WHITELIST_DISABLE=1
+export MASTER_PORT=23456
+NPUS=($(seq 0 7))
+rank_server=`awk 'BEGIN{printf "%.0f\n",8*'${server_index}'}'`
+export NPU_WORLD_SIZE=`awk 'BEGIN{printf "%.0f\n",8*'${linux_num}'}'`
+rank=0
+for i in ${NPUS[@]}
+do
+    mkdir -p  $cur_path/test/output/${i}/
+    export NPU_CALCULATE_DEVICE=${i}
+    export ASCEND_DEVICE_ID=${i}
+    export RANK=`awk 'BEGIN{printf "%.0f\n",'${rank}'+'${rank_server}'}'`
+    echo run process ${rank}
+    nohup python3 train.py -e $train_epochs  --distributed True > $cur_path/test/output/$ASCEND_DEVICE_ID/train_${i}.log 2>&1 &
+    let rank++
+done
+wait
+end=$(date +%s)
+e2e_time=$(( $end - $start ))
+
+
+#sed -i "s|if global_step == 100: break|if global_step == 100: pass|g" $cur_path/train.py
+
+#输出训练精度,需要模型审视修改
+#打印，不需要修改
+#echo "Final Train Accuracy : ${train_accuracy}"
+echo "E2E Training Duration sec : $e2e_time"
+
+#性能看护结果汇总
+#训练用例信息，不需要修改
+BatchSize=${batch_size}
+DeviceType=`uname -m`
+CaseName=${Network}_bs${BatchSize}_${RANK_SIZE}'p'_'perf'
+
+##获取性能数据，不需要修改
+#吞吐量
+sed -i "s|\r|\n|g" $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log
+TrainingTime=0
+FPS=`grep img/s $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log | grep -v 0% | awk -F "," '{print$2}' | awk '{print$1}' | awk -F "i" '{print$1}' | awk '{sum+=$1} END {print"",sum/NR}'|sed s/[[:space:]]//g`
+FPS=$(awk 'BEGIN{print '$FPS'*16}')
+
+TrainingTime=`awk 'BEGIN{printf "%.2f\n",'${batch_size}'*1000/'${FPS}'}'`
+
+#打印，不需要修改
+echo "Final Performance images/sec : $FPS"
+
+ActualFPS=${FPS}
+
+#从train_$ASCEND_DEVICE_ID.log提取Loss到train_${CaseName}_loss.txt中，需要根据模型审视
+grep Epoch $cur_path/test/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log| awk -F "," '{print$3}' | awk -F "=" '{print$2}' | awk -F "]" '{print$1}'| awk '{if(length !=0)print $0}' > $cur_path/test/output/$ASCEND_DEVICE_ID/train_${CaseName}_loss.txt
+
+
+#精度值
+#train_accuracy=`grep "loss" $cur_path/test/output/$ASCEND_DEVICE_ID/train_${CaseName}_loss_2.txt|awk -F " " '{print $8}'|awk 'END {print}'`
+
+#最后一个迭代loss值，不需要修改
+ActualLoss=`awk 'END {print}' $cur_path/test/output/$ASCEND_DEVICE_ID/train_${CaseName}_loss.txt`
+
+#关键信息打印到${CaseName}.log中，不需要修改
+echo "Network = ${Network}" > $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "RankSize = ${RANK_SIZE}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "BatchSize = ${BatchSize}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "DeviceType = ${DeviceType}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "CaseName = ${CaseName}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "ActualFPS = ${ActualFPS}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "TrainingTime = ${TrainingTime}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+#echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "ActualLoss = ${ActualLoss}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/test/output/$ASCEND_DEVICE_ID/${CaseName}.log