diff --git a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/DistributedResnet50/main_apex_d76_npu.py b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/DistributedResnet50/main_apex_d76_npu.py
index b036e665298e01760de2659b4bab7ac03eb310e0..83a52095b584d741e2f9131e5c840b9cdb0b4b48 100644
--- a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/DistributedResnet50/main_apex_d76_npu.py
+++ b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/DistributedResnet50/main_apex_d76_npu.py
@@ -25,8 +25,6 @@ import time
 import warnings
 
 import torch
-if torch.__version__ >= "1.8.1":
-    import torch_npu
 import torch.nn as nn
 import torch.nn.parallel
 import torch.backends.cudnn as cudnn
diff --git a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/README.md b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/README.md
index 291e2e2c31a0f5103ac0427d3785efe047185af6..1de5116b9a4a6f26341c803f81393baa06b93d15 100644
--- a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/README.md
+++ b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/README.md
@@ -13,9 +13,9 @@
 
 ```
 	1.安装环境
-	2.修改run_1p.sh字段"data"为当前磁盘的数据集路径
-	3.修改字段device_id（单卡训练所使用的device id），为训练配置device_id，比如device_id=0
-	4.cd到run_1p.sh文件的目录，执行bash run_1p.sh单卡脚本， 进行单卡训练
+	2.修改train_performance_1p.sh字段"data"为当前磁盘的数据集路径；
+	3.修改字段device_id（单卡训练所使用的device id），为训练配置device_id，比如device_id=0；
+	4.执行bash train_performance_1p.sh单卡脚本， 进行单卡训练；
 ```
 
 	
@@ -25,7 +25,7 @@
 	1.安装环境
 	2.修改多P脚本中字段"data"为当前磁盘的数据集路径
 	3.修改字段device_id_list（多卡训练所使用的device id列表），为训练配置device_id，比如4p,device_id_list=0,1,2,3；8P默认使用0，1，2，3，4，5，6，7卡不用配置
-	4.cd到run_8p.sh文件的目录，执行bash run_8p.sh等多卡脚本， 进行多卡训练	
+	4.执行bash train_performance_8p.sh等多卡脚本， 进行多卡训练;
 ```
 
 
@@ -48,6 +48,6 @@
     
 训练日志路径：在训练脚本的同目录下result文件夹里，如：
 
-        /home/ResNet50/result/training_8p_job_20201121023601
+        /home/ResNet50/test/output/device_id/training_8p_job_20201121023601
 	
 
diff --git a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/env_npu.sh b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/env_npu.sh
deleted file mode 100644
index 84d83feb9494d94eeb2ec348935745af405acf78..0000000000000000000000000000000000000000
--- a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/env_npu.sh
+++ /dev/null
@@ -1,71 +0,0 @@
-#!/bin/bash
-export install_path=/usr/local/Ascend
-
-if [ -d ${install_path}/toolkit ]; then
-    export LD_LIBRARY_PATH=/usr/include/hdf5/lib/:/usr/local/:/usr/local/lib/:/usr/lib/:${install_path}/fwkacllib/lib64/:${install_path}/driver/lib64/common/:${install_path}/driver/lib64/driver/:${install_path}/add-ons:${path_lib}:${LD_LIBRARY_PATH}
-    export PATH=${install_path}/fwkacllib/ccec_compiler/bin:${install_path}/fwkacllib/bin:$PATH
-    export PYTHONPATH=${install_path}/fwkacllib/python/site-packages:${install_path}/tfplugin/python/site-packages:${install_path}/toolkit/python/site-packages:$PYTHONPATH
-    export PYTHONPATH=/usr/local/python3.7.5/lib/python3.7/site-packages:$PYTHONPATH
-    export ASCEND_OPP_PATH=${install_path}/opp
-else
-    if [ -d ${install_path}/nnae/latest ];then
-        export LD_LIBRARY_PATH=/usr/local/:/usr/local/python3.7.5/lib/:/usr/local/openblas/lib:/usr/local/lib/:/usr/lib64/:/usr/lib/:${install_path}/nnae/latest/fwkacllib/lib64/:${install_path}/driver/lib64/common/:${install_path}/driver/lib64/driver/:${install_path}/add-ons/:/usr/lib/aarch64_64-linux-gnu:$LD_LIBRARY_PATH
-        export PATH=$PATH:${install_path}/nnae/latest/fwkacllib/ccec_compiler/bin/:${install_path}/nnae/latest/toolkit/tools/ide_daemon/bin/
-        export ASCEND_OPP_PATH=${install_path}/nnae/latest/opp/
-        export OPTION_EXEC_EXTERN_PLUGIN_PATH=${install_path}/nnae/latest/fwkacllib/lib64/plugin/opskernel/libfe.so:${install_path}/nnae/latest/fwkacllib/lib64/plugin/opskernel/libaicpu_engine.so:${install_path}/nnae/latest/fwkacllib/lib64/plugin/opskernel/libge_local_engine.so
-        export PYTHONPATH=${install_path}/nnae/latest/fwkacllib/python/site-packages/:${install_path}/nnae/latest/fwkacllib/python/site-packages/auto_tune.egg/auto_tune:${install_path}/nnae/latest/fwkacllib/python/site-packages/schedule_search.egg:$PYTHONPATH
-        export ASCEND_AICPU_PATH=${install_path}/nnae/latest
-    else
-        export LD_LIBRARY_PATH=/usr/local/:/usr/local/lib/:/usr/lib64/:/usr/lib/:/usr/local/python3.7.5/lib/:/usr/local/openblas/lib:${install_path}/ascend-toolkit/latest/fwkacllib/lib64/:${install_path}/driver/lib64/common/:${install_path}/driver/lib64/driver/:${install_path}/add-ons/:/usr/lib/aarch64-linux-gnu:$LD_LIBRARY_PATH
-        export PATH=$PATH:${install_path}/ascend-toolkit/latest/fwkacllib/ccec_compiler/bin/:${install_path}/ascend-toolkit/latest/toolkit/tools/ide_daemon/bin/
-        export ASCEND_OPP_PATH=${install_path}/ascend-toolkit/latest/opp/
-        export OPTION_EXEC_EXTERN_PLUGIN_PATH=${install_path}/ascend-toolkit/latest/fwkacllib/lib64/plugin/opskernel/libfe.so:${install_path}/ascend-toolkit/latest/fwkacllib/lib64/plugin/opskernel/libaicpu_engine.so:${install_path}/ascend-toolkit/latest/fwkacllib/lib64/plugin/opskernel/libge_local_engine.so
-        export PYTHONPATH=${install_path}/ascend-toolkit/latest/fwkacllib/python/site-packages/:${install_path}/ascend-toolkit/latest/fwkacllib/python/site-packages/auto_tune.egg/auto_tune:${install_path}/ascend-toolkit/latest/fwkacllib/python/site-packages/schedule_search.egg:$PYTHONPATH
-        export ASCEND_AICPU_PATH=${install_path}/ascend-toolkit/latest
-    fi
-fi
-
-
-#将Host日志输出到串口,0-关闭/1-开启
-export ASCEND_SLOG_PRINT_TO_STDOUT=0
-#设置默认日志级别,0-debug/1-info/2-warning/3-error
-export ASCEND_GLOBAL_LOG_LEVEL=3
-#设置Event日志开启标志,0-关闭/1-开启
-export ASCEND_GLOBAL_EVENT_ENABLE=0
-#设置是否开启taskque,0-关闭/1-开启
-export TASK_QUEUE_ENABLE=1
-#HCCL白名单开关,1-关闭/0-开启
-export HCCL_WHITELIST_DISABLE=1
-
-#设置device侧日志登记为error
-${install_path}/driver/tools/msnpureport -g error -d 0
-${install_path}/driver/tools/msnpureport -g error -d 1
-${install_path}/driver/tools/msnpureport -g error -d 2
-${install_path}/driver/tools/msnpureport -g error -d 3
-${install_path}/driver/tools/msnpureport -g error -d 4
-${install_path}/driver/tools/msnpureport -g error -d 5
-${install_path}/driver/tools/msnpureport -g error -d 6
-${install_path}/driver/tools/msnpureport -g error -d 7
-#关闭Device侧Event日志
-${install_path}/driver/tools/msnpureport -e disable
-
-path_lib=$(python3.7 -c """
-import sys
-import re
-result=''
-for index in range(len(sys.path)):
-    match_sit = re.search('-packages', sys.path[index])
-    if match_sit is not None:
-        match_lib = re.search('lib', sys.path[index])
-
-        if match_lib is not None:
-            end=match_lib.span()[1]
-            result += sys.path[index][0:end] + ':'
-
-        result+=sys.path[index] + '/torch/lib:'
-print(result)"""
-)
-
-echo ${path_lib}
-
-export LD_LIBRARY_PATH=/usr/local/python3.7.5/lib/:${path_lib}:$LD_LIBRARY_PATH
diff --git a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/pytorch_resnet50_apex.py b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/pytorch_resnet50_apex.py
index bd91d5be817708b45c9d8503f8598ec58179be95..2932965ffd972a5c05a597dc18c64fbe6751d15b 100644
--- a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/pytorch_resnet50_apex.py
+++ b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/pytorch_resnet50_apex.py
@@ -23,8 +23,6 @@ import math
 import numpy as np
 
 import torch
-if torch.__version__ >= "1.8.1":
-    import torch_npu
 import torch.nn as nn
 import torch.nn.parallel
 import torch.backends.cudnn as cudnn
diff --git a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/run_1p.sh b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/run_1p.sh
deleted file mode 100644
index e542152b60bd22d2866bf227dd9d9bd56fc0051f..0000000000000000000000000000000000000000
--- a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/run_1p.sh
+++ /dev/null
@@ -1,31 +0,0 @@
-#!/usr/bin/env bash
-source env_npu.sh
-export WHICH_OP=GEOP
-export NEW_GE_FE_ID=1
-export GE_AICPU_FLAG=1
-
-device_id=0
-
-/usr/local/Ascend/driver/tools/msnpureport -d 0 -g error
-
-currentDir=$(cd "$(dirname "$0")";pwd)
-currtime=`date +%Y%m%d%H%M%S`
-train_log_dir=${currentDir}/result/training_1p_job_${currtime}
-mkdir -p ${train_log_dir}
-cd ${train_log_dir}
-echo "train log path is ${train_log_dir}"
-
-python3.7 ${currentDir}/pytorch_resnet50_apex.py \
-        --data /data/imagenet \
-        --npu ${device_id} \
-        -j64 \
-        -b512 \
-        --lr 0.2 \
-        --warmup 5 \
-        --label-smoothing=0.1 \
-        --epochs 90 \
-        --num_classes=1000 \
-        --optimizer-batch-size 512 > ./resnet50_1p.log 2>&1 &
-
-
-
diff --git a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/run_2p.sh b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/run_2p.sh
deleted file mode 100644
index 047849d5f8bae663a472f792fbfab0529146c647..0000000000000000000000000000000000000000
--- a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/run_2p.sh
+++ /dev/null
@@ -1,44 +0,0 @@
-#!/usr/bin/env bash
-source env_npu.sh
-export WHICH_OP=GEOP
-export NEW_GE_FE_ID=1
-export GE_AICPU_FLAG=1
-
-ip=$(hostname -I |awk '{print $1}')
-device_id_list=0,1
-
-/usr/local/Ascend/driver/tools/msnpureport -d 0 -g error
-
-currentDir=$(cd "$(dirname "$0")";pwd)
-currtime=`date +%Y%m%d%H%M%S`
-train_log_dir=${currentDir}/result/training_2p_job_${currtime}
-mkdir -p ${train_log_dir}
-cd ${train_log_dir}
-echo "train log path is ${train_log_dir}"
-
-python3.7 ${currentDir}/DistributedResnet50/main_apex_d76_npu.py \
-        --data /data/imagenet \
-        --addr=$(hostname -I |awk '{print $1}') \
-        --seed=49 \
-        --workers=128 \
-        --learning-rate=0.4 \
-        --warmup=8 \
-        --label-smoothing=0.1 \
-        --mom=0.9 \
-        --weight-decay=1.0e-04 \
-        --static-loss-scale=128 \
-        --print-freq=1 \
-        --dist-url='tcp://127.0.0.1:50000' \
-        --dist-backend='hccl' \
-        --multiprocessing-distributed \
-        --world-size=1 \
-        --rank=0 \
-        --device-list=${device_id_list} \
-        --benchmark=0 \
-        --device='npu' \
-        --epochs=90 \
-        --num_classes=1000 \
-        --batch-size=1024 > ./resnet50_2p.log 2>&1 &
-
-
-
diff --git a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/run_4p.sh b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/run_4p.sh
deleted file mode 100644
index 2b29adfe64f837bdef5d2eb30268331429559496..0000000000000000000000000000000000000000
--- a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/run_4p.sh
+++ /dev/null
@@ -1,43 +0,0 @@
-#!/usr/bin/env bash
-source env_npu.sh
-export WHICH_OP=GEOP
-export NEW_GE_FE_ID=1
-export GE_AICPU_FLAG=1
-
-ip=$(hostname -I |awk '{print $1}')
-device_id_list=0,1,2,3
-
-/usr/local/Ascend/driver/tools/msnpureport -d 0 -g error
-
-currentDir=$(cd "$(dirname "$0")";pwd)
-currtime=`date +%Y%m%d%H%M%S`
-train_log_dir=${currentDir}/result/training_4p_job_${currtime}
-mkdir -p ${train_log_dir}
-cd ${train_log_dir}
-echo "train log path is ${train_log_dir}"
-
-python3.7 ${currentDir}/DistributedResnet50/main_apex_d76_npu.py \
-        --data /data/imagenet \
-        --addr=$(hostname -I |awk '{print $1}') \
-        --seed=49 \
-        --workers=128 \
-        --learning-rate=0.8 \
-        --warmup=8 \
-        --label-smoothing=0.1 \
-        --mom=0.9 \
-        --weight-decay=1.0e-04 \
-        --static-loss-scale=128 \
-        --print-freq=1 \
-        --dist-url='tcp://127.0.0.1:50000' \
-        --dist-backend='hccl' \
-        --multiprocessing-distributed \
-        --world-size=1 \
-        --rank=0 \
-        --device-list=${device_id_list} \
-        --benchmark=0 \
-        --device='npu' \
-        --epochs=90 \
-        --num_classes=1000 \
-        --batch-size=2048 > ./resnet50_4p.log 2>&1 &
-
-
diff --git a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/run_8p.sh b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/run_8p.sh
deleted file mode 100644
index e3b0a5b523d702b2cca1c209c9c9f3a370edfabe..0000000000000000000000000000000000000000
--- a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/run_8p.sh
+++ /dev/null
@@ -1,41 +0,0 @@
-#!/usr/bin/env bash
-source env_npu.sh
-export WHICH_OP=GEOP
-export NEW_GE_FE_ID=1
-export GE_AICPU_FLAG=1
-
-/usr/local/Ascend/driver/tools/msnpureport -d 0 -g error
-/usr/local/Ascend/driver/tools/msnpureport -d 4 -g error
-
-ip=$(hostname -I |awk '{print $1}')
-currentDir=$(cd "$(dirname "$0")";pwd)
-currtime=`date +%Y%m%d%H%M%S`
-train_log_dir=${currentDir}/result/training_8p_job_${currtime}
-mkdir -p ${train_log_dir}
-cd ${train_log_dir}
-echo "train log path is ${train_log_dir}"
-
-python3.7 ${currentDir}/DistributedResnet50/main_apex_d76_npu.py \
-        --data /data/imagenet \
-        --addr=$(hostname -I |awk '{print $1}') \
-        --seed=49 \
-        --workers=128 \
-        --learning-rate=1.6 \
-        --warmup=8 \
-        --label-smoothing=0.1 \
-        --mom=0.9 \
-        --weight-decay=1.0e-04  \
-        --static-loss-scale=128 \
-        --print-freq=1 \
-        --dist-url='tcp://127.0.0.1:50000' \
-        --dist-backend='hccl' \
-        --multiprocessing-distributed \
-        --world-size=1 \
-        --rank=0 \
-        --benchmark=0 \
-        --device='npu' \
-        --epochs=90 \
-        --num_classes=1000 \
-        --batch-size=4096 > ./resnet50_8p.log 2>&1 &
-
-
diff --git a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_ID3071_ResNet50_performance_8p.sh b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_ID3071_ResNet50_performance_8p.sh
index 0013d695905b43a64bd7a73c8d9c5f9e341b726f..f8d134d5bd661605471cd18e201da81946310f68 100644
--- a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_ID3071_ResNet50_performance_8p.sh
+++ b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_ID3071_ResNet50_performance_8p.sh
@@ -64,7 +64,7 @@ if [ x"${etp_flag}" != x"true" ];then
     source ${test_path_dir}/env_npu.sh
 fi
 
-python3.7 ./DistributedResnet50/main_apex_d76_npu.py \
+nohup python3.7 ./DistributedResnet50/main_apex_d76_npu.py \
         --data ${data_path} \
         --addr=$(hostname -I |awk '{print $1}') \
         --seed=49 \
diff --git a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_ID3071_performance_1p.sh b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_ID3071_performance_1p.sh
index f2f584cd464fb0c93a5c9026a6bbd8b082b811f6..d116b996ad3eaf05c2b79509cd598e4bde2249b9 100644
--- a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_ID3071_performance_1p.sh
+++ b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_ID3071_performance_1p.sh
@@ -81,7 +81,7 @@ if [ x"${etp_flag}" != x"true" ];then
     source ${test_path_dir}/env_npu.sh
 fi
 
-python3.7 ./pytorch_resnet50_apex.py \
+nohup python3.7 ./pytorch_resnet50_apex.py \
     --data ${data_path} \
     --npu ${ASCEND_DEVICE_ID} \
     -j ${workers} \
diff --git a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_eval_1p.sh b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_eval_1p.sh
index e89e5332b6319b738260062cfad5b593b3f39baa..ea11306d364cc5df6e5ad7b6aa5cd497192c84d7 100644
--- a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_eval_1p.sh
+++ b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_eval_1p.sh
@@ -79,7 +79,7 @@ etp_flag=`echo ${check_etp_flag#*=}`
 if [ x"${etp_flag}" != x"true" ];then
     source ${test_path_dir}/env_npu.sh
 fi
-python3.7 ./pytorch_resnet50_apex.py \
+nohup python3.7 ./pytorch_resnet50_apex.py \
     --data ${data_path} \
     --npu ${ASCEND_DEVICE_ID} \
     -j ${workers} \
diff --git a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_full_16p.sh b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_full_16p.sh
index dccd7239c221c6db39b53b7bf477014255ac8cb7..e355a2471f863f1efefaa4d44655a9c703bef532 100644
--- a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_full_16p.sh
+++ b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_full_16p.sh
@@ -96,7 +96,7 @@ fi
 export NODE_RANK=${server_index}
 export NPU_WORLD_SIZE=`awk 'BEGIN{printf "%.0f\n",8*'${linux_num}'}'`
 
-python3.7 ./DistributedResnet50/main_apex_d76_npu.py \
+nohup python3.7 ./DistributedResnet50/main_apex_d76_npu.py \
         --data ${data_path} \
         --addr=$one_node_ip \
         --seed=49 \
diff --git a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_full_1p.sh b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_full_1p.sh
index 37fd0fd4b8c3f01b3406578561c597fde64c190b..e754979b9f338598f1081b9a222fa32ab9c20f35 100644
--- a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_full_1p.sh
+++ b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_full_1p.sh
@@ -77,7 +77,7 @@ etp_flag=`echo ${check_etp_flag#*=}`
 if [ x"${etp_flag}" != x"true" ];then
     source ${test_path_dir}/env_npu.sh
 fi
-python3.7 ./pytorch_resnet50_apex.py \
+nohup python3.7 ./pytorch_resnet50_apex.py \
     --data ${data_path} \
     --npu ${ASCEND_DEVICE_ID} \
     -j ${workers} \
diff --git a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_full_8p.sh b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_full_8p.sh
index 1cc50890bdcaae00df4ea9639d7918e79052203d..490324f5e56ebbc9a39bd465a06a91b6392c66d1 100644
--- a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_full_8p.sh
+++ b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_full_8p.sh
@@ -79,7 +79,7 @@ if [ x"${etp_flag}" != x"true" ];then
     source ${test_path_dir}/env_npu.sh
 fi
 
-python3.7 ./DistributedResnet50/main_apex_d76_npu.py \
+nohup python3.7 ./DistributedResnet50/main_apex_d76_npu.py \
         --data ${data_path} \
         --addr=$(hostname -I |awk '{print $1}') \
         --seed=49 \
diff --git a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_performance_16p.sh b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_performance_16p.sh
index cea303357750e5a27b69159a76004a1e38830883..d047e2847ebbd21127963122a1130fcd0d430ff9 100644
--- a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_performance_16p.sh
+++ b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_performance_16p.sh
@@ -81,7 +81,7 @@ fi
 export NODE_RANK=${server_index}
 export NPU_WORLD_SIZE=`awk 'BEGIN{printf "%.0f\n",8*'${linux_num}'}'`
 
-python3.7 ./DistributedResnet50/main_apex_d76_npu.py \
+nohup python3.7 ./DistributedResnet50/main_apex_d76_npu.py \
         --data ${data_path} \
         --addr=$one_node_ip \
         --seed=49 \
diff --git a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_performance_1p.sh b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_performance_1p.sh
index 96226ecf321f592c0a6be9f4a02b38046c9eb37f..7b20d0af0572ef7e419c2d83de340f9e58c85b1f 100644
--- a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_performance_1p.sh
+++ b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_performance_1p.sh
@@ -79,7 +79,7 @@ etp_flag=`echo ${check_etp_flag#*=}`
 if [ x"${etp_flag}" != x"true" ];then
     source ${test_path_dir}/env_npu.sh
 fi
-python3.7 ./pytorch_resnet50_apex.py \
+nohup python3.7 ./pytorch_resnet50_apex.py \
     --data ${data_path} \
     --npu ${ASCEND_DEVICE_ID} \
     -j ${workers} \
diff --git a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_performance_8p.sh b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_performance_8p.sh
index 84c999e576af2628baaab29af6e759d7cedf555a..d7969e07f3f022ba0df2aa141018767dfcedc53b 100644
--- a/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_performance_8p.sh
+++ b/PyTorch/built-in/cv/classification/ResNet50_for_PyTorch/test/train_performance_8p.sh
@@ -65,7 +65,7 @@ fi
 
 export NODE_RANK=0
 
-python3.7 ./DistributedResnet50/main_apex_d76_npu.py \
+nohup python3.7 ./DistributedResnet50/main_apex_d76_npu.py \
         --data ${data_path} \
         --addr=$(hostname -I |awk '{print $1}') \
         --seed=49 \