diff --git a/TensorFlow/built-in/recommendation/WideDeep_ID2712_for_TensorFlow/test/train_performance_1p_profiling1.sh b/TensorFlow/built-in/recommendation/WideDeep_ID2712_for_TensorFlow/test/train_performance_1p_profiling1.sh
index 27dacebd6bd0e418d1b9247f32f28b77e8b7ca5f..c798c77a37deb114d6b74a328f3b45d0513f31b6 100644
--- a/TensorFlow/built-in/recommendation/WideDeep_ID2712_for_TensorFlow/test/train_performance_1p_profiling1.sh
+++ b/TensorFlow/built-in/recommendation/WideDeep_ID2712_for_TensorFlow/test/train_performance_1p_profiling1.sh
@@ -145,10 +145,11 @@ echo "TrainingTime(ms/step) : $TrainingTime"
 op_static=`find  ${cur_path}/etp_output/profiling/PROF*/mindstudio_profiler_output/ -name op_statistic*.csv | wc -l`
 echo $op_static
 if [ $op_static -eq 1 ]; then
-    echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+    profiling_result="True"
 else
-    echo "ActualFPS = " >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+    profiling_result="False"
 fi
+
 #从train_$ASCEND_DEVICE_ID.log提取Loss到train_${CaseName}_loss.txt中，需要根据模型审视
 loss=`grep 'loss =' $cur_path/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log | tr -d '\b\r' | awk -F' ' '{print $9}'|sed 's/,$//'`
 echo "${loss}"> $cur_path/output/$ASCEND_DEVICE_ID/train_${CaseName}_loss.txt
@@ -162,7 +163,8 @@ echo "RankSize = ${RANK_SIZE}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}
 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 "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "profiling_result = ${profiling_result}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
diff --git a/TensorFlow/built-in/recommendation/WideDeep_ID2712_for_TensorFlow/test/train_performance_1p_profiling2.sh b/TensorFlow/built-in/recommendation/WideDeep_ID2712_for_TensorFlow/test/train_performance_1p_profiling2.sh
index 6e91f09ec5d64f993cb84728cadcfbfedbfa7539..d037b91ed22120fd4d4db6d2cd4b1255fb32eac9 100644
--- a/TensorFlow/built-in/recommendation/WideDeep_ID2712_for_TensorFlow/test/train_performance_1p_profiling2.sh
+++ b/TensorFlow/built-in/recommendation/WideDeep_ID2712_for_TensorFlow/test/train_performance_1p_profiling2.sh
@@ -151,9 +151,9 @@ echo "TrainingTime(ms/step) : $TrainingTime"
 op_static=`find  ${cur_path}/../profiling/PROF*/mindstudio_profiler_output/ -name op_statistic*.csv | wc -l`
 echo $op_static
 if [ $op_static -eq 1 ]; then
-    echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+    profiling_result="True"
 else
-    echo "ActualFPS = " >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+    profiling_result="False"
 fi
 #从train_$ASCEND_DEVICE_ID.log提取Loss到train_${CaseName}_loss.txt中，需要根据模型审视
 loss=`grep 'loss =' $cur_path/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log | tr -d '\b\r' | awk -F' ' '{print $9}'|sed 's/,$//'`
@@ -168,7 +168,8 @@ echo "RankSize = ${RANK_SIZE}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}
 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 "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "profiling_result = ${profiling_result}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
diff --git a/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_1p_profiling1.sh b/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_1p_profiling1.sh
index 6c1b65fd7566d7e79a7dbbab57467496e3f02b6b..e2c324a69c3763094fac96a3b8f83eb348a79bff 100644
--- a/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_1p_profiling1.sh
+++ b/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_1p_profiling1.sh
@@ -182,12 +182,14 @@ TrainingTime=`awk 'BEGIN{printf "%.2f\n",'${BatchSize}'*1000/'${FPS}'}'`
 op_static=`find  ${cur_path}/etp_output/profiling/PROF*/mindstudio_profiler_output/ -name op_statistic*.csv | wc -l`
 echo $op_static
 if [ $op_static -eq 1 ]; then
-    echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+    profiling_result="True"
 else
-    echo "ActualFPS = " >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+    profiling_result="False"
 fi
 
 
+
+
 #从train_$ASCEND_DEVICE_ID.log提取Loss到train_${CaseName}_loss.txt中，需要根据模型审视
 grep train_loss $cur_path/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log|grep -v BatchTimestamp|awk '{print $10}'|sed 's/,//g'|sed '/^$/d' >> $cur_path/output/$ASCEND_DEVICE_ID/train_${CaseName}_loss.txt
 
@@ -195,16 +197,16 @@ grep train_loss $cur_path/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log|g
 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 "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 "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/output/$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
-
+echo "profiling_result = ${profiling_result}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 sed -i "/AttributeError/d" $cur_path/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log
 sed -i "/MLL/d" $cur_path/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log
\ No newline at end of file
diff --git a/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_1p_profiling2.sh b/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_1p_profiling2.sh
index dd07ca5fad6c0b8d97026780134bfa18b96658e3..fc79b71f28732551bf0af9097368cad4a4d10a3b 100644
--- a/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_1p_profiling2.sh
+++ b/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_1p_profiling2.sh
@@ -187,9 +187,9 @@ TrainingTime=`awk 'BEGIN{printf "%.2f\n",'${BatchSize}'*1000/'${FPS}'}'`
 op_static=`find  $cur_path/../tensorflow/profiling/PROF*/mindstudio_profiler_output/ -name op_statistic*.csv | wc -l`
 echo $op_static
 if [ $op_static -eq 1 ]; then
-    echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+    profiling_result="True"
 else
-    echo "ActualFPS = " >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+    profiling_result="False"
 fi
 
 #从train_$ASCEND_DEVICE_ID.log提取Loss到train_${CaseName}_loss.txt中，需要根据模型审视
@@ -204,8 +204,9 @@ echo "RankSize = ${RANK_SIZE}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}
 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 "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+echo "profiling_result = ${profiling_result}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/output/$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