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 24bd4704ef5afa657cc1b202ec1b1eae8ed1fc37..27dacebd6bd0e418d1b9247f32f28b77e8b7ca5f 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
@@ -142,6 +142,13 @@ ActualFPS=${FPS}
 TrainingTime=$time
 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
+else
+    echo "ActualFPS = " >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+fi
 #从train_$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
@@ -155,7 +162,7 @@ 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 "TrainAccuracy = ${train_accuracy}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
diff --git a/TensorFlow/built-in/recommendation/WideDeep_ID2712_for_TensorFlow/test/train_performance_1p_profiling2.sh b/TensorFlow/built-in/recommendation/WideDeep_ID2712_for_TensorFlow/test/train_performance_1p_profiling2.sh
index 4beaccc1cec1f467e685e1c5027e47c86d044433..6e91f09ec5d64f993cb84728cadcfbfedbfa7539 100644
--- a/TensorFlow/built-in/recommendation/WideDeep_ID2712_for_TensorFlow/test/train_performance_1p_profiling2.sh
+++ b/TensorFlow/built-in/recommendation/WideDeep_ID2712_for_TensorFlow/test/train_performance_1p_profiling2.sh
@@ -148,6 +148,13 @@ ActualFPS=${FPS}
 TrainingTime=$time
 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
+else
+    echo "ActualFPS = " >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+fi
 #从train_$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
@@ -161,7 +168,7 @@ 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 "TrainAccuracy = ${train_accuracy}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
diff --git a/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_1p_profiling1.sh b/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_1p_profiling1.sh
index 4bb5790fd2c15235bfc59dbee2135cfc63b95cb1..6c1b65fd7566d7e79a7dbbab57467496e3f02b6b 100644
--- a/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_1p_profiling1.sh
+++ b/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_1p_profiling1.sh
@@ -179,6 +179,15 @@ ActualFPS=${FPS}
 #单迭代训练时长
 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
+else
+    echo "ActualFPS = " >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+fi
+
+
 #从train_$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
 
@@ -191,7 +200,7 @@ 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 "TrainAccuracy = ${train_accuracy}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
diff --git a/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_1p_profiling2.sh b/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_1p_profiling2.sh
index 31313feeb22fc7b1e798e5f00795d47bfbad2c4e..dd07ca5fad6c0b8d97026780134bfa18b96658e3 100644
--- a/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_1p_profiling2.sh
+++ b/TensorFlow2/built-in/cv/image_classification/ResNet50_ID0360_for_TensorFlow2.X/test/train_performance_1p_profiling2.sh
@@ -184,6 +184,14 @@ ActualFPS=${FPS}
 #单迭代训练时长
 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
+else
+    echo "ActualFPS = " >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
+fi
+
 #从train_$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
 
@@ -196,7 +204,7 @@ 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 "TrainAccuracy = ${train_accuracy}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log