diff --git a/PyTorch/built-in/others/WDL_for_PyTorch/test/train_performance_1p.sh b/PyTorch/built-in/others/WDL_for_PyTorch/test/train_performance_1p.sh
index ab5c7e2f46fe71c0a7bda39dc10b4ff6aeda88b5..0db1d3a3fea2816280fd9b396e3b039cf253cf98 100644
--- a/PyTorch/built-in/others/WDL_for_PyTorch/test/train_performance_1p.sh
+++ b/PyTorch/built-in/others/WDL_for_PyTorch/test/train_performance_1p.sh
@@ -1,127 +1,127 @@
-#!/bin/bash
-# Copyright 2021 Huawei Technologies Co., Ltd
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# less required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ============================================================================
-
-# 设置环境变量
-source ./env.sh
-
-#当前路径,不需要修改
-cur_path=`pwd`
-
-#集合通信参数,不需要修改
-export RANK_SIZE=1
-
-# 数据集路径,保持为空,不需要修改
-data_path=""
-
-#网络名称,同目录名称,需要模型审视修改
-Network="WDL_for_PyTorch"
-
-#训练batch_size,,需要模型审视修改
-batch_size=4096
-
-#参数校验，不需要修改
-for para in $*
-do
-    if [[ $para == --data_path* ]];then
-        data_path=`echo ${para#*=}`
-    fi
-done
-
-#校验是否传入data_path,不需要修改
-if [[ $data_path == "" ]];then
-    echo "[Error] para \"data_path\" must be confing"
-    exit 1
-fi
-
-#训练开始时间，不需要修改
-start_time=$(date +%s)
-
-device_id=0
-# 校验是否指定了device_id,分动态分配device_id与手动指定device_id,此处不需要修改
-if [ $ASCEND_DEVICE_ID ];then
-    echo "device id is ${ASCEND_DEVICE_ID}"
-elif [ ${device_id} ];then
-    export ASCEND_DEVICE_ID=${device_id}
-    echo "device id is ${ASCEND_DEVICE_ID}"
-else
-    "[Error] device id must be config"
-    exit 1
-fi
-
-#进入训练脚本目录，需要模型审视修改
-cd $cur_path/..
-#创建DeviceID输出目录，不需要修改
-if [ -d ${cur_path}/output/${ASCEND_DEVICE_ID} ];then
-    rm -rf ${cur_path}/output/${ASCEND_DEVICE_ID}
-    mkdir -p ${cur_path}/output/$ASCEND_DEVICE_ID/ckpt
-else
-    mkdir -p ${cur_path}/output/$ASCEND_DEVICE_ID/ckpt
-fi
-
-#执行训练脚本，以下传参不需要修改，其他需要模型审视修改
-python3.7 run_classification_criteo_wdl.py  \
-    --data_path=$data_path \
-    --amp \
-    --steps 1000 \
-    --sparse_embed_dim 4 \
-    --batch_size 4096 \
-    --lr 0.0009 \
-    --device_id=$ASCEND_DEVICE_ID > ${cur_path}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
-
-wait
-
-#训练结束时间，不需要修改
-end_time=$(date +%s)
-e2e_time=$(( $end_time - $start_time ))
-
-#结果打印，不需要修改
-echo "------------------ Final result ------------------"
-#输出性能FPS，需要模型审视修改
-FPS=`grep -a 'Epoch'  $cur_path/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log|grep avg_sample_per_sec | awk -F "avg_sample_per_sec: " '{print $NF}'| awk -F "," '{print $1}'|awk 'NR==1{max=$1;next}{max=max>$1?max:$1}END{print max}'`
-#打印，不需要修改
-echo "Final Performance images/sec : $FPS"
-
-#打印，不需要修改
-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}_${RANK_SIZE}'p'_'perf'
-
-##获取性能数据，不需要修改
-#吞吐量
-ActualFPS=${FPS}
-#单迭代训练时长
-TrainingTime=`awk 'BEGIN{printf "%.2f\n", '${batch_size}'*1000/'${FPS}'}'`
-
-#从train_$ASCEND_DEVICE_ID.log提取Loss到train_${CaseName}_loss.txt中，需要模型审视修改
-grep -a 'Step' $cur_path/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log|awk -F "loss: " '{print $NF}' | awk -F " " '{print $1}' >> $cur_path/output/$ASCEND_DEVICE_ID/train_${CaseName}_loss.txt
-
-#最后一个迭代loss值，不需要修改
-ActualLoss=`awk 'END {print}' $cur_path/output/$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}" > $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "RankSize = ${RANK_SIZE}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "BatchSize = ${BatchSize}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "DeviceType = ${DeviceType}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "CaseName = ${CaseName}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
-echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+#!/bin/bash
+# Copyright 2021 Huawei Technologies Co., Ltd
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# less required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ============================================================================
+
+# 设置环境变量
+source ./env.sh
+
+#当前路径,不需要修改
+cur_path=`pwd`
+
+#集合通信参数,不需要修改
+export RANK_SIZE=1
+
+# 数据集路径,保持为空,不需要修改
+data_path=""
+
+#网络名称,同目录名称,需要模型审视修改
+Network="WDL_for_PyTorch"
+
+#训练batch_size,,需要模型审视修改
+batch_size=4096
+
+#参数校验，不需要修改
+for para in $*
+do
+    if [[ $para == --data_path* ]];then
+        data_path=`echo ${para#*=}`
+    fi
+done
+
+#校验是否传入data_path,不需要修改
+if [[ $data_path == "" ]];then
+    echo "[Error] para \"data_path\" must be confing"
+    exit 1
+fi
+
+#训练开始时间，不需要修改
+start_time=$(date +%s)
+
+device_id=0
+# 校验是否指定了device_id,分动态分配device_id与手动指定device_id,此处不需要修改
+if [ $ASCEND_DEVICE_ID ];then
+    echo "device id is ${ASCEND_DEVICE_ID}"
+elif [ ${device_id} ];then
+    export ASCEND_DEVICE_ID=${device_id}
+    echo "device id is ${ASCEND_DEVICE_ID}"
+else
+    "[Error] device id must be config"
+    exit 1
+fi
+
+#进入训练脚本目录，需要模型审视修改
+cd $cur_path/..
+#创建DeviceID输出目录，不需要修改
+if [ -d ${cur_path}/output/${ASCEND_DEVICE_ID} ];then
+    rm -rf ${cur_path}/output/${ASCEND_DEVICE_ID}
+    mkdir -p ${cur_path}/output/$ASCEND_DEVICE_ID/ckpt
+else
+    mkdir -p ${cur_path}/output/$ASCEND_DEVICE_ID/ckpt
+fi
+
+#执行训练脚本，以下传参不需要修改，其他需要模型审视修改
+python3.7 run_classification_criteo_wdl.py  \
+    --data_path=$data_path \
+    --amp \
+    --steps 1000 \
+    --sparse_embed_dim 4 \
+    --batch_size 4096 \
+    --lr 0.0009 \
+    --device_id=$ASCEND_DEVICE_ID > ${cur_path}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
+
+wait
+
+#训练结束时间，不需要修改
+end_time=$(date +%s)
+e2e_time=$(( $end_time - $start_time ))
+
+#结果打印，不需要修改
+echo "------------------ Final result ------------------"
+#输出性能FPS，需要模型审视修改
+FPS=`grep -a 'Epoch'  $cur_path/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log|grep avg_sample_per_sec | awk -F "avg_sample_per_sec: " '{print $NF}'| awk -F "," '{print $1}'|awk 'NR==1{max=$1;next}{max=max>$1?max:$1}END{print max}'`
+#打印，不需要修改
+echo "Final Performance images/sec : $FPS"
+
+#打印，不需要修改
+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}_${RANK_SIZE}'p'_'perf'
+
+##获取性能数据，不需要修改
+#吞吐量
+ActualFPS=${FPS}
+#单迭代训练时长
+TrainingTime=`awk 'BEGIN{printf "%.2f\n", '${batch_size}'*1000/'${FPS}'}'`
+
+#从train_$ASCEND_DEVICE_ID.log提取Loss到train_${CaseName}_loss.txt中，需要模型审视修改
+grep -a 'Step' $cur_path/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log|awk -F "loss: " '{print $NF}' | awk -F " " '{print $1}' >> $cur_path/output/$ASCEND_DEVICE_ID/train_${CaseName}_loss.txt
+
+#最后一个迭代loss值，不需要修改
+ActualLoss=`awk 'END {print}' $cur_path/output/$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}" > $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "RankSize = ${RANK_SIZE}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "BatchSize = ${BatchSize}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "DeviceType = ${DeviceType}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "CaseName = ${CaseName}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
\ No newline at end of file
diff --git a/PyTorch/contrib/cv/classification/ResNet18_ID1593_for_PyTorch/test/train_performance_1p.sh b/PyTorch/contrib/cv/classification/ResNet18_ID1593_for_PyTorch/test/train_performance_1p.sh
index ce8c3f635302d6ce99f9711b1f4b9330843c98d9..657706a12a95b869f2898dfa77ad85a5207d0aeb 100644
--- a/PyTorch/contrib/cv/classification/ResNet18_ID1593_for_PyTorch/test/train_performance_1p.sh
+++ b/PyTorch/contrib/cv/classification/ResNet18_ID1593_for_PyTorch/test/train_performance_1p.sh
@@ -114,7 +114,7 @@ python3 ./main.py \
 	--dist-backend 'hccl' \
 	--epochs=${train_epochs} \
 	--batch-size=${batch_size} \
-	--stop-step-num=128 \
+	--stop-step-num=5003 \
     --device_list=${ASCEND_DEVICE_ID} \
 	--amp > ${test_path_dir}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &