diff --git a/TensorFlow/built-in/cv/image_segmentation/DeeplabV3_ID0047_for_TensorFlow/test/train_full_8p.sh b/TensorFlow/built-in/cv/image_segmentation/DeeplabV3_ID0047_for_TensorFlow/test/train_full_8p.sh
index 5e467e9320c66dc8e08826f47fdea911622767df..bb325a045e1810ffdbcf3aa972628293bbead83c 100644
--- a/TensorFlow/built-in/cv/image_segmentation/DeeplabV3_ID0047_for_TensorFlow/test/train_full_8p.sh
+++ b/TensorFlow/built-in/cv/image_segmentation/DeeplabV3_ID0047_for_TensorFlow/test/train_full_8p.sh
@@ -39,13 +39,13 @@ if [[ $1 == --help || $1 == -h ]];then
     echo " "
     echo "parameter explain:
     --precision_mode           precision mode(allow_fp32_to_fp16/force_fp16/must_keep_origin_dtype/allow_mix_precision)
-    --over_dump		           if or not over detection, default is False
-    --data_dump_flag		   data dump flag, default is 0
-    --data_dump_step		   data dump step, default is 10
-    --profiling		           if or not profiling for performance debug, default is False
+    --over_dump                    if or not over detection, default is False
+    --data_dump_flag               data dump flag, default is 0
+    --data_dump_step               data dump step, default is 10
+    --profiling                    if or not profiling for performance debug, default is False
     --autotune                 whether to enable autotune, default is False
-    --data_path		           source data of training
-    -h/--help		           show help message
+    --data_path                    source data of training
+    -h/--help                      show help message
     "
     exit 1
 fi
@@ -112,7 +112,7 @@ do
     export ASCEND_DEVICE_ID=$RANK_ID
     export DEVICE_ID=$ASCEND_DEVICE_ID
     ASCEND_DEVICE_ID=$RANK_ID
-    
+
     #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}
@@ -125,8 +125,8 @@ do
         mkdir -p ${cur_path}/output/s8/r1/${ASCEND_DEVICE_ID}/
         mkdir -p ${cur_path}/output/s8/r2/${ASCEND_DEVICE_ID}/
     fi
-    
-    
+
+
      # 绑核，不需要的绑核的模型删除，需要模型审视修改
     #corenum=`cat /proc/cpuinfo |grep "processor"|wc -l`
     #let a=RANK_ID*${corenum}/${RANK_SIZE}
@@ -180,7 +180,7 @@ do
     export ASCEND_DEVICE_ID=$RANK_ID
     export DEVICE_ID=$ASCEND_DEVICE_ID
     ASCEND_DEVICE_ID=$RANK_ID
-    
+
     #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}
@@ -188,7 +188,7 @@ do
     else
         mkdir -p ${cur_path}/output/$ASCEND_DEVICE_ID/ckpt
     fi
-    
+
      # 绑核，不需要的绑核的模型删除，需要模型审视修改
     #corenum=`cat /proc/cpuinfo |grep "processor"|wc -l`
     #let a=RANK_ID*${corenum}/${RANK_SIZE}
@@ -213,7 +213,7 @@ do
     --train_batch_size=${batch_size} \
     --training_number_of_steps=10000 \
     --fine_tune_batch_norm=true \
-    --tf_initial_checkpoint=${cur_path}/output/s8/r1/0/resnet_101/model.ckpt-15000 \
+    --tf_initial_checkpoint=${cur_path}/output/s8/r1/${ASCEND_DEVICE_ID}/resnet_101/model.ckpt-15000 \
     --log_steps=100 \
     --weight_decay=0.00002 \
     --last_layer_gradient_multiplier=1 \
@@ -233,32 +233,48 @@ do
     cd -
 done
 wait
+for((RANK_ID=$RANK_ID_START;RANK_ID<$((RANK_SIZE+RANK_ID_START));RANK_ID++));
+do
+     #设置环境变量，不需要修改
+     echo "Device ID: $RANK_ID"
+     export RANK_ID=$RANK_ID
+     export ASCEND_DEVICE_ID=$RANK_ID
+     export DEVICE_ID=$ASCEND_DEVICE_ID
+     ASCEND_DEVICE_ID=$RANK_ID
 
-cd ${cur_path}/output/0/
-python3.7 $cur_path/../train_npu.py \
-    --mode=evaluate \
-    --eval_split="val" \
-    --model_variant="resnet_v1_101_beta" \
-    --iterations_per_loop=1 \
-    --atrous_rates=6 \
-    --atrous_rates=12 \
-    --atrous_rates=18 \
-    --output_stride=8 \
-    --multi_grid=1 \
-    --multi_grid=2 \
-    --multi_grid=4 \
-    --eval_scales=0.5 \
-    --eval_scales=0.75 \
-    --eval_scales=1.0 \
-    --eval_scales=1.25 \
-    --eval_scales=1.5 \
-    --eval_scales=1.75 \
-    --eval_crop_size="513,513" \
-    --aspp_with_separable_conv=False \
-    --checkpoint_dir=${cur_path}/output/s8/r2/0/resnet_101 \
-    --dataset_dir=${data_path}/tfrecord \
-    --max_number_of_evaluations=1 > ${cur_path}/output/0/train_0.log 2>&1
-cd -
+     #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
+     if [ $ASCEND_DEVICE_ID -eq 7 ];then
+         python3.7 $cur_path/../train_npu.py \
+         --mode=evaluate \
+         --eval_split="val" \
+         --model_variant="resnet_v1_101_beta" \
+         --iterations_per_loop=1 \
+         --atrous_rates=6 \
+         --atrous_rates=12 \
+         --atrous_rates=18 \
+         --output_stride=8 \
+         --multi_grid=1 \
+         --multi_grid=2 \
+         --multi_grid=4 \
+         --eval_scales=0.5 \
+         --eval_scales=0.75 \
+         --eval_scales=1.0 \
+         --eval_scales=1.25 \
+         --eval_scales=1.5 \
+         --eval_scales=1.75 \
+         --eval_crop_size="513,513" \
+         --aspp_with_separable_conv=False \
+         --checkpoint_dir=${cur_path}/output/s8/r2/${ASCEND_DEVICE_ID}/resnet_101 \
+         --dataset_dir=${data_path}/tfrecord \
+         --max_number_of_evaluations=1 > ${cur_path}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1
+     fi
+done
 
 wait
 
@@ -269,12 +285,12 @@ 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 'FPS:' ${cur_path}/output/s8/r2/0/train_0.log| awk -F "=" '{print $1}' | awk 'END {print $6}'`
+FPS=`grep 'FPS:' ${cur_path}/output/s8/r2/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log| awk -F "=" '{print $1}' | awk 'END {print $6}'`
 #打印，不需要修改
 echo "Final Performance images/sec : $FPS"
 
 #输出训练精度,需要模型审视修改
-train_accuracy=`grep 'class_20' ${cur_path}/output/0/train_0.log| awk -F " " '{print $3}'`
+train_accuracy=`grep 'class_20' ${cur_path}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log| awk -F " " '{print $3}'`
 #打印，不需要修改
 echo "Final Train Accuracy : ${train_accuracy}"
 echo "E2E Training Duration sec : $e2e_time"
@@ -292,19 +308,19 @@ ActualFPS=${FPS}
 TrainingTime=`echo "scale=2;${batch_size} * ${RANK_SIZE} * 1000 / ${FPS}"|bc`
 
 #从train_$ASCEND_DEVICE_ID.log提取Loss到train_${CaseName}_loss.txt中，需要根据模型审视
-grep 'loss:' ${cur_path}/output/s8/r2/0/train_0.log|awk '{print $7}' | awk -F "loss:" '{print $2}' >> $cur_path/output/0/train_${CaseName}_loss.txt
+grep 'loss:' ${cur_path}/output/s8/r2/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log|awk '{print $7}' | awk -F "loss:" '{print $2}' >> $cur_path/output/${ASCEND_DEVICE_ID}/train_${CaseName}_loss.txt
 
 #最后一个迭代loss值，不需要修改
-ActualLoss=`awk 'END {print}' $cur_path/output/0/train_${CaseName}_loss.txt`
+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}" > $cur_path/output/0/${CaseName}.log
-echo "RankSize = ${RANK_SIZE}" >> $cur_path/output/0/${CaseName}.log
-echo "BatchSize = ${BatchSize}" >> $cur_path/output/0/${CaseName}.log
-echo "DeviceType = ${DeviceType}" >> $cur_path/output/0/${CaseName}.log
-echo "CaseName = ${CaseName}" >> $cur_path/output/0/${CaseName}.log
-echo "ActualFPS = ${ActualFPS}" >> $cur_path/output/0/${CaseName}.log
-echo "TrainAccuracy = ${train_accuracy}" >> $cur_path/output/0/${CaseName}.log
-echo "TrainingTime = ${TrainingTime}" >> $cur_path/output/0/${CaseName}.log
-echo "ActualLoss = ${ActualLoss}" >> $cur_path/output/0/${CaseName}.log
-echo "E2ETrainingTime = ${e2e_time}" >> $cur_path/output/0/${CaseName}.log
\ No newline at end of file
+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 "TrainAccuracy = ${train_accuracy}" >> $cur_path/output/${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