diff --git a/TensorFlow/built-in/audio/Tacotron2-v1-Encoder_ID1997_for_TensorFlow/test/train_RT2_performance_1p.sh b/TensorFlow/built-in/audio/Tacotron2-v1-Encoder_ID1997_for_TensorFlow/test/train_RT2_performance_1p.sh
index 88fcb9ff1b0fa008374671e7884f0292fd2bddb0..23d5e23c73be818d3351b4eb138aced421a0fd71 100644
--- a/TensorFlow/built-in/audio/Tacotron2-v1-Encoder_ID1997_for_TensorFlow/test/train_RT2_performance_1p.sh
+++ b/TensorFlow/built-in/audio/Tacotron2-v1-Encoder_ID1997_for_TensorFlow/test/train_RT2_performance_1p.sh
@@ -171,6 +171,9 @@ TrainingTime=`awk 'BEGIN {printf "%.2f\n", '1000'*'${batch_size}'/'${FPS}'}'`
 #打印，不需要修改
 echo "Final Performance images/sec : $FPS"
 
+#输出CompileTime
+CompileTime=`grep "perf" $cur_path/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log |head -n 1|awk '{sum+=$(NF)} END {print sum}'`
+
 #输出训练精度,需要模型审视修改
 #train_accuracy=`grep "Accuracy:" $cur_path/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log | awk -F " " '{print $2}'`
 #打印，不需要修改
@@ -207,3 +210,4 @@ echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName
 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
+echo "CompileTime = ${CompileTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
diff --git a/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/models/research/object_detection/model_main_rt.py b/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/models/research/object_detection/model_main_rt.py
index 7702d48404b3c78ff63f3e3b26fc9d8f307ffa43..dc894b8cb1f360700eee7282b2eb6c229b0fce65 100644
--- a/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/models/research/object_detection/model_main_rt.py
+++ b/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/models/research/object_detection/model_main_rt.py
@@ -86,6 +86,8 @@ class DLLoggerHook(tf.estimator.SessionRunHook):
     def after_run(self, run_context, run_values):
         throughput = (self.global_batch_size / (time.time() - self.t0))
         (global_step, lr) = run_values.results
+        if global_step <= 5:
+            print("global step: {}, step/s: {}".format(global_step, (time.time() - self.t0)))
         self.meters['train_throughput'].update(throughput)
 
     def end(self, session):
@@ -152,10 +154,7 @@ def main(unused_argv):
         ##################################NPU_modify end###################################
         eval_hooks = []
         for x in range(FLAGS.eval_count):
-            start = time.time()
             estimator.train(train_input_fn, hooks=npu_hooks_append(hooks_list=train_hooks), steps=(train_steps // FLAGS.eval_count))
-            estimator_time = time.time() - start
-            print("step/s: {:g}".format(estimator_time))
             if (get_npu_rank_id() == 0):
                 eval_input_fn = eval_input_fns[0]
                 #eval阻塞，临时规避
diff --git a/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/test/train_RT2_performance_1p.sh b/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/test/train_RT2_performance_1p.sh
index c95fc2a345ff4249504b0fb8cbb461b88605089f..c4ba04f32df239a643fc473c8b152afd3f83d47d 100644
--- a/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/test/train_RT2_performance_1p.sh
+++ b/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/test/train_RT2_performance_1p.sh
@@ -143,7 +143,7 @@ FPS=`awk 'BEGIN{printf "%.2f\n",'${batch_size}'*'${FPS}'}'`
 echo "Final Performance images/sec : $FPS"
 
 #输出CompileTime
-CompileTime=`grep "step/s" $cur_path/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log |awk '{print$2}'`
+CompileTime=`grep "step/s:" $cur_path/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log |head -n 2|awk '{sum+=$5} END {print sum}'`
 ################################精度结果处理#########################
 #精度计算，需要根据网络修改
 train_accuracy=`grep Precision $cur_path/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log|grep Average |awk 'NR==1 {print $13}'`
diff --git a/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/test/train_RT2_performance_1p_inceptionv2.sh b/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/test/train_RT2_performance_1p_inceptionv2.sh
index b70f401d407481b1c238f4afbd3efe7faf6688ce..16ff19a9110d98e8069555c2a276c9eb9e60ed05 100644
--- a/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/test/train_RT2_performance_1p_inceptionv2.sh
+++ b/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/test/train_RT2_performance_1p_inceptionv2.sh
@@ -117,6 +117,8 @@ FPS=`grep -a 'INFO:tensorflow:global_step/sec: ' $cur_path/output/${ASCEND_DEVIC
 FPS=`awk 'BEGIN{printf "%.2f\n",'${batch_size}'*'${RANK_SIZE}'*'${FPS}'}'`
 echo "Final Performance images/sec : $FPS"
 
+#输出CompileTime
+CompileTime=`grep "step/s:" $cur_path/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log |head -n 2|awk '{sum+=$5} END {print sum}'`
 ################################E2E训练时长##########################
 echo "Final Training Duration sec : $e2e_time"
 
@@ -139,4 +141,5 @@ echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/${ASCEND_DEVICE_ID}/${CaseNa
 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
+echo "CompileTime = ${CompileTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 
diff --git a/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/test/train_RT2_performance_1p_mobilenetv1_fpn.sh b/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/test/train_RT2_performance_1p_mobilenetv1_fpn.sh
index a690a02b44a769d6197cd0357d78a5125d452bb7..80589aa30f66a62fff891ec943485f3757693f74 100644
--- a/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/test/train_RT2_performance_1p_mobilenetv1_fpn.sh
+++ b/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/test/train_RT2_performance_1p_mobilenetv1_fpn.sh
@@ -143,6 +143,9 @@ FPS=`grep -a 'INFO:tensorflow:global_step/sec: ' $cur_path/output/$ASCEND_DEVICE
 
 FPS=`awk 'BEGIN{printf "%.2f\n",'${batch_size}'*'${FPS}'}'`
 echo "Final Performance images/sec : $FPS"
+
+#输出CompileTime
+CompileTime=`grep "step/s:" $cur_path/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log |head -n 2|awk '{sum+=$5} END {print sum}'`
 ################################精度结果处理#########################
 #精度计算，需要根据网络修改
 cp -r ${ckpt_path} $cur_path/output/$ASCEND_DEVICE_ID
@@ -171,4 +174,5 @@ echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/${ASCEND_DEVICE_ID}/${CaseNa
 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
+echo "CompileTime = ${CompileTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log
 conda deactivate
diff --git a/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/test/train_RT2_performance_1p_mobilenetv2.sh b/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/test/train_RT2_performance_1p_mobilenetv2.sh
index b7251d32828716906667d7b9f564079d1fe45d50..6f267d910cead8cf016410e6c6bb4faedb8bdec4 100644
--- a/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/test/train_RT2_performance_1p_mobilenetv2.sh
+++ b/TensorFlow/built-in/cv/detection/SSD-Resnet50V1-FPN_ID1463_for_TensorFlow/test/train_RT2_performance_1p_mobilenetv2.sh
@@ -140,6 +140,8 @@ step_sec=`grep -a 'INFO:tensorflow:global_step/sec: ' $cur_path/output/$ASCEND_D
 FPS=`awk 'BEGIN{printf "%.2f\n",'${batch_size}'*'${step_sec}'}'`
 echo "Final Performance images/sec : ${FPS}"
 
+#输出CompileTime
+CompileTime=`grep "step/s:" $cur_path/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log |head -n 2|awk '{sum+=$5} END {print sum}'`
 #################################精度结果处理#########################
 # 精度计算，需要根据网络修改
 train_accuracy=`grep Precision $cur_path/output/$ASCEND_DEVICE_ID/train_$ASCEND_DEVICE_ID.log|awk 'NR==1 {print $13}'`
@@ -171,3 +173,4 @@ echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${Ca
 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 "CompileTime = ${CompileTime}" >> $cur_path/output/$ASCEND_DEVICE_ID/${CaseName}.log