diff --git a/TensorFlow/built-in/cv/image_classification/AlexNet_ID0072_for_TensorFlow/test/train_full_8p.sh b/TensorFlow/built-in/cv/image_classification/AlexNet_ID0072_for_TensorFlow/test/train_full_8p.sh
index 71ba419cf1a0f053cf05dc514c6db53743c5c40d..e4f872acb18ec72f0ed0cfc4a4c139a1dcdb5a60 100644
--- a/TensorFlow/built-in/cv/image_classification/AlexNet_ID0072_for_TensorFlow/test/train_full_8p.sh
+++ b/TensorFlow/built-in/cv/image_classification/AlexNet_ID0072_for_TensorFlow/test/train_full_8p.sh
@@ -124,7 +124,7 @@ do
     if [ "x${bind_core}" != x ];then
         bind_core="taskset -c $a-$c"
     fi
-python3.7 ${cur_path}/../train.py --rank_size=8 \
+nohup ${bind_core} python3.7 ${cur_path}/../train.py --rank_size=8 \
                       --epochs_between_evals=1 \
                       --mode=train \
         	            --max_epochs=150 \
diff --git a/TensorFlow/built-in/cv/image_classification/DenseNet121_ID0067_for_TensorFlow/test/train_full_8p.sh b/TensorFlow/built-in/cv/image_classification/DenseNet121_ID0067_for_TensorFlow/test/train_full_8p.sh
index f258be9af5015718ed3e3a82e6e078e97651918d..e1280f0f66668216e7770b12a15ece2615bae498 100644
--- a/TensorFlow/built-in/cv/image_classification/DenseNet121_ID0067_for_TensorFlow/test/train_full_8p.sh
+++ b/TensorFlow/built-in/cv/image_classification/DenseNet121_ID0067_for_TensorFlow/test/train_full_8p.sh
@@ -109,14 +109,20 @@ do
         mkdir -p ${cur_path}/output/$ASCEND_DEVICE_ID/ckpt
     fi
     # 绑核，不需要的绑核的模型删除，需要的模型审视修改
+    corenum=`cat /proc/cpuinfo |grep "processor"|wc -l`
+    let a=RANK_ID*${corenum}/${RANK_SIZE}
+    let b=RANK_ID+1
+    let c=b*${corenum}/${RANK_SIZE}-1
     #let a=RANK_ID*12
     #let b=RANK_ID+1
     #let c=b*12-1
     
     #执行训练脚本，以下传参不需要修改，其他需要模型审视修改
     #--data_dir, --model_dir, --precision_mode, --over_dump, --over_dump_path，--data_dump_flag，--data_dump_step，--data_dump_path，--profiling，--profiling_dump_path
-    
-    python3.7 ./train.py \
+    if [ "x${bind_core}" != x ];then
+        bind_core="taskset -c $a-$c"
+    fi
+    nohup ${bind_core} python3.7 ./train.py \
     --data_dir=${data_path} \
     --rank_size=${RANK_SIZE} \
     --iterations_per_loop=1000 \
diff --git a/TensorFlow/built-in/cv/image_classification/EfficientNet_B0_ID0009_for_TensorFlow/test/train_full_8p.sh b/TensorFlow/built-in/cv/image_classification/EfficientNet_B0_ID0009_for_TensorFlow/test/train_full_8p.sh
index 77c6e25a6546443f9ff0a1b1011bd687946c3e51..e23728d377b1bde542b4110901b1e8114db47b95 100644
--- a/TensorFlow/built-in/cv/image_classification/EfficientNet_B0_ID0009_for_TensorFlow/test/train_full_8p.sh
+++ b/TensorFlow/built-in/cv/image_classification/EfficientNet_B0_ID0009_for_TensorFlow/test/train_full_8p.sh
@@ -137,7 +137,7 @@ do
     if [ "x${bind_core}" != x ];then
         bind_core="taskset -c $a-$c"
     fi
-    nohup python3.7 efficientnet/main_npu.py \
+    nohup ${bind_core} python3.7 efficientnet/main_npu.py \
     --data_dir=${data_path} \
     --model_dir=${cur_path}/output/$ASCEND_DEVICE_ID/ckpt \
     --mode=train_and_eval \
diff --git a/TensorFlow/built-in/cv/image_classification/GoogleNet_ID0051_for_TensorFlow/test/train_full_8p.sh b/TensorFlow/built-in/cv/image_classification/GoogleNet_ID0051_for_TensorFlow/test/train_full_8p.sh
index f4506c7dc852c45bfdd40b167971412b078cebfc..12b149eaada512e24dd9465fbd5c6c4cb8695f06 100644
--- a/TensorFlow/built-in/cv/image_classification/GoogleNet_ID0051_for_TensorFlow/test/train_full_8p.sh
+++ b/TensorFlow/built-in/cv/image_classification/GoogleNet_ID0051_for_TensorFlow/test/train_full_8p.sh
@@ -83,6 +83,9 @@ do
         mkdir -p ${autotune_dump_path}/rl
     elif [[ $para == --data_path* ]];then
         data_path=`echo ${para#*=}`
+    elif [[ $para == --bind_core* ]]; then
+        bind_core=`echo ${para#*=}`
+        name_bind="_bindcore"
     fi
 done
 
@@ -115,9 +118,18 @@ 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}
+    let b=RANK_ID+1
+    let c=b*${corenum}/${RANK_SIZE}-1
 
     #执行训练脚本，需要模型审视修改
-	nohup python3.7 train.py \
+    if [ "x${bind_core}" != x ];then
+        bind_core="taskset -c $a-$c"
+    fi
+	nohup ${bind_core} python3.7 train.py \
         --rank_size=$RANK_SIZE \
         --mode=train_and_evaluate \
         --max_epochs=200 \
diff --git a/TensorFlow/built-in/cv/image_classification/InceptionV3_ID0491_for_TensorFlow/test/train_full_8p.sh b/TensorFlow/built-in/cv/image_classification/InceptionV3_ID0491_for_TensorFlow/test/train_full_8p.sh
index efc2118f78c22fea52bb594dcd0f1eabe30c5531..a1f83e0683f74530356e7d6b6b45827c614ae379 100644
--- a/TensorFlow/built-in/cv/image_classification/InceptionV3_ID0491_for_TensorFlow/test/train_full_8p.sh
+++ b/TensorFlow/built-in/cv/image_classification/InceptionV3_ID0491_for_TensorFlow/test/train_full_8p.sh
@@ -78,6 +78,9 @@ do
         cp -rf $install_path/fwkacllib/data/rl/Ascend910/custom ${autotune_dump_path}/RL/
     elif [[ $para == --data_path* ]];then
         data_path=`echo ${para#*=}`
+    elif [[ $para == --bind_core* ]]; then
+        bind_core=`echo ${para#*=}`
+        name_bind="_bindcore"
     fi
 done
 #校验是否传入data_path,不需要修改
@@ -107,9 +110,17 @@ 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}
+    let b=RANK_ID+1
+    let c=b*${corenum}/${RANK_SIZE}-1
     #执行训练脚本，以下传参不需要修改，其他需要模型审视修改
-    python3 Incetpion_V3.py --dataset_dir=$data_path --epoch_num=$train_epochs --NPU_DEVICE_INDEX=$ASCEND_DEVICE_ID --npu_nums=8 > ${cur_path}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
+    if [ "x${bind_core}" != x ];then
+        bind_core="taskset -c $a-$c"
+    fi
+    nohup ${bind_core} python3 Incetpion_V3.py --dataset_dir=$data_path --epoch_num=$train_epochs --NPU_DEVICE_INDEX=$ASCEND_DEVICE_ID --npu_nums=8 > ${cur_path}/output/${ASCEND_DEVICE_ID}/train_${ASCEND_DEVICE_ID}.log 2>&1 &
 done 
 
 wait
diff --git a/TensorFlow/built-in/cv/image_classification/InceptionV4_ID0002_for_TensorFlow/test/train_full_8p.sh b/TensorFlow/built-in/cv/image_classification/InceptionV4_ID0002_for_TensorFlow/test/train_full_8p.sh
index f99f547886f8f6235b34de7df95fb1e80e03e655..f39f15a6cc1d7f58c1606b3db9615bdc363ee805 100644
--- a/TensorFlow/built-in/cv/image_classification/InceptionV4_ID0002_for_TensorFlow/test/train_full_8p.sh
+++ b/TensorFlow/built-in/cv/image_classification/InceptionV4_ID0002_for_TensorFlow/test/train_full_8p.sh
@@ -85,6 +85,9 @@ do
         cp -rf $install_path/fwkacllib/data/rl/Ascend910/custom ${autotune_dump_path}/RL/
     elif [[ $para == --data_path* ]];then
         data_path=`echo ${para#*=}`
+    elif [[ $para == --bind_core* ]]; then
+        bind_core=`echo ${para#*=}`
+        name_bind="_bindcore"
     fi
 done
 
@@ -130,10 +133,18 @@ do
     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}
+    let b=RANK_ID+1
+    let c=b*${corenum}/${RANK_SIZE}-1
 
     #执行训练脚本，以下传参不需要修改，其他需要模型审视修改
+    if [ "x${bind_core}" != x ];then
+        bind_core="taskset -c $a-$c"
+    fi
     #--data_dir, --model_dir, --precision_mode, --over_dump, --over_dump_path，--data_dump_flag，--data_dump_step，--data_dump_path，--profiling，--profiling_dump_path
-    python3.7 train.py --rank_size=8 \
+    nohup ${bind_core} python3.7 train.py --rank_size=8 \
         --mode=train_and_evaluate \
         --max_epochs=$train_epochs \
         --T_max=100 \
diff --git a/TensorFlow/built-in/cv/image_classification/MobileNetV2_ID0074_for_TensorFlow/test/train_full_8p.sh b/TensorFlow/built-in/cv/image_classification/MobileNetV2_ID0074_for_TensorFlow/test/train_full_8p.sh
index 4eca347461ad6f910fb8f140594611af55bb2af2..d36ce3b7ddca899331d10ed83a6bee66b0b6843d 100644
--- a/TensorFlow/built-in/cv/image_classification/MobileNetV2_ID0074_for_TensorFlow/test/train_full_8p.sh
+++ b/TensorFlow/built-in/cv/image_classification/MobileNetV2_ID0074_for_TensorFlow/test/train_full_8p.sh
@@ -123,6 +123,7 @@ do
 	DEVICE_INDEX=$DEVICE_ID
     export DEVICE_INDEX=${DEVICE_INDEX}
     
+    
     #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}
@@ -134,17 +135,18 @@ do
     mkdir -p results/$ASCEND_DEVICE_ID
 
     sed -i 's|results|results/'$ASCEND_DEVICE_ID'|g' train.py
-
+    
+    
     #执行训练脚本，以下传参不需要修改，其他需要模型审视修改
     #--data_dir, --model_dir, --precision_mode, --over_dump, --over_dump_path，--data_dump_flag，--data_dump_step，--data_dump_path，--profiling，--profiling_dump_path
-    #corenum=`cat /proc/cpuinfo |grep 'processor' |wc -l`
-    #let a=RANK_ID*${corenum}/8
-    #let b=RANK_ID+1
-    #let c=b*${corenum}/8-1
-    #if [ "x${bind_core}" != x ];then
-    #    bind_core="taskset -c $a-$c"
-    #fi
-    python3.7 train.py \
+    corenum=`cat /proc/cpuinfo |grep 'processor' |wc -l`
+    let a=RANK_ID*${corenum}/8
+    let b=RANK_ID+1
+    let c=b*${corenum}/8-1
+    if [ "x${bind_core}" != x ];then
+        bind_core="taskset -c $a-$c"
+    fi
+    nohup ${bind_core} python3.7 train.py \
         --dataset_dir=$data_path \
         --max_epoch=$train_epochs \
         --model_name="mobilenet_v2" \
diff --git a/TensorFlow/built-in/cv/image_classification/ResNet101_ID0063_for_TensorFlow/test/train_full_8p.sh b/TensorFlow/built-in/cv/image_classification/ResNet101_ID0063_for_TensorFlow/test/train_full_8p.sh
index b341f39267b23d5e890922c6f11d0bbbc0222301..7b585c7ddb819c85e1d94669d2c4351ffb977de7 100644
--- a/TensorFlow/built-in/cv/image_classification/ResNet101_ID0063_for_TensorFlow/test/train_full_8p.sh
+++ b/TensorFlow/built-in/cv/image_classification/ResNet101_ID0063_for_TensorFlow/test/train_full_8p.sh
@@ -121,18 +121,18 @@ do
         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}
-    #let b=RANK_ID+1
-    #let c=b*${corenum}/${RANK_SIZE}-1
+    # 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}
+    let b=RANK_ID+1
+    let c=b*${corenum}/${RANK_SIZE}-1
 
     #执行训练脚本，以下传参不需要修改，其他需要模型审视修改
     #--data_dir, --model_dir, --precision_mode, --over_dump, --over_dump_path，--data_dump_flag，--data_dump_step，--data_dump_path，--profiling，--profiling_dump_path
-    #if [ "x${bind_core}" != x ];then
-    #    bind_core="taskset -c $a-$c"
-    #fi
-    python3.7 r1/resnet/imagenet_main.py \
+    if [ "x${bind_core}" != x ];then
+        bind_core="taskset -c $a-$c"
+    fi
+    nohup ${bind_core} python3.7 r1/resnet/imagenet_main.py \
             --resnet_size=101 \
             --batch_size=${batch_size} \
             --num_gpus=1 \
diff --git a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_full_8p.sh b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_full_8p.sh
index 7f44f2c59ace7e60f8ce5179051d674e20c5b1ed..b385ad12ae12206edbdb1da0c37f91e372ea037a 100644
--- a/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_full_8p.sh
+++ b/TensorFlow/built-in/cv/image_classification/ResNet50_ID0058_for_TensorFlow/test/train_full_8p.sh
@@ -128,14 +128,14 @@ do
 
     #执行训练脚本，需要模型审视修改
     corenum=`cat /proc/cpuinfo |grep 'processor' |wc -l`
-    #let a=RANK_ID*${corenum}/8
-    #let b=RANK_ID+1
-    #let c=b*${corenum}/8-1
-    #if [ "x${bind_core}" != x ];then
-    #    bind_core="taskset -c $a-$c"
-    #fi
+    let a=RANK_ID*${corenum}/8
+    let b=RANK_ID+1
+    let c=b*${corenum}/8-1
+    if [ "x${bind_core}" != x ];then
+        bind_core="taskset -c $a-$c"
+    fi
     #--max_train_steps=$max_train_steps \
-	python3.7 ${cur_path}/../src/mains/res50.py \
+	nohup ${bind_core} python3.7 ${cur_path}/../src/mains/res50.py \
 	    --config_file=$config_file \
 	    --iterations_per_loop=$iterations_per_loop \
 	    --debug=$debug \
diff --git a/TensorFlow/built-in/cv/image_classification/ResNext50_ID0070_for_TensorFlow/test/train_full_8p.sh b/TensorFlow/built-in/cv/image_classification/ResNext50_ID0070_for_TensorFlow/test/train_full_8p.sh
index 10c84b674caf4b040bb269ee1c65c41b049e91e5..528ea03cf7f03661a1a3ce96852b8c50a68b2d7b 100644
--- a/TensorFlow/built-in/cv/image_classification/ResNext50_ID0070_for_TensorFlow/test/train_full_8p.sh
+++ b/TensorFlow/built-in/cv/image_classification/ResNext50_ID0070_for_TensorFlow/test/train_full_8p.sh
@@ -150,7 +150,7 @@ do
     if [ "x${bind_core}" != x ];then
         bind_core="taskset -c $a-$c"
     fi
-	${bind_core} python3.7 res50.py \
+	nohup ${bind_core} python3.7 res50.py \
 	    --config_file=$config_file \
         --max_train_steps=$max_train_steps \
 	    --iterations_per_loop=$iterations_per_loop \
diff --git a/TensorFlow/built-in/cv/image_classification/Resnet50v1.5_ID1721_for_TensorFlow/test/train_full_8p.sh b/TensorFlow/built-in/cv/image_classification/Resnet50v1.5_ID1721_for_TensorFlow/test/train_full_8p.sh
index 16ac5783db51b43409f2b2f3aab039194ac2ccd5..b01f752e28afc74636498c71b8cd13ddb54b577a 100644
--- a/TensorFlow/built-in/cv/image_classification/Resnet50v1.5_ID1721_for_TensorFlow/test/train_full_8p.sh
+++ b/TensorFlow/built-in/cv/image_classification/Resnet50v1.5_ID1721_for_TensorFlow/test/train_full_8p.sh
@@ -76,6 +76,9 @@ do
         cp -rf $install_path/fwkacllib/data/rl/Ascend910/custom ${autotune_dump_path}/RL/
     elif [[ $para == --data_path* ]];then
         data_path=`echo ${para#*=}`
+    elif [[ $para == --bind_core* ]]; then
+        bind_core=`echo ${para#*=}`
+        name_bind="_bindcore"
     fi
 done
 
@@ -112,11 +115,19 @@ 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}
+    let b=RANK_ID+1
+    let c=b*${corenum}/${RANK_SIZE}-1
 
 	#执行训练脚本，以下传参不需要修改，其他需要模型审视修改
     #--data_dir, --model_dir, --precision_mode, --over_dump, --over_dump_path，--data_dump_flag，--data_dump_step，--data_dump_path，--profiling，--profiling_dump_path，--autotune
-    
-    nohup python3 imagenet_main.py \
+    if [ "x${bind_core}" != x ];then
+        bind_core="taskset -c $a-$c"
+    fi
+    nohup ${bind_core} python3 imagenet_main.py \
         --resnet_size=50 \
         --resnet_version=1 \
         --max_train_steps=$train_steps \
diff --git a/TensorFlow/built-in/cv/image_classification/VGG16_ID0068_for_TensorFlow/test/train_full_8p.sh b/TensorFlow/built-in/cv/image_classification/VGG16_ID0068_for_TensorFlow/test/train_full_8p.sh
index 31afa627e6bb6cf9a5463b9576491e16fbb38eb9..fd7d65e81c12568680462c38bfb7c3a536011262 100644
--- a/TensorFlow/built-in/cv/image_classification/VGG16_ID0068_for_TensorFlow/test/train_full_8p.sh
+++ b/TensorFlow/built-in/cv/image_classification/VGG16_ID0068_for_TensorFlow/test/train_full_8p.sh
@@ -118,11 +118,18 @@ do
         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}
+    let b=RANK_ID+1
+    let c=b*${corenum}/${RANK_SIZE}-1
 
     #执行训练脚本，以下传参不需要修改，其他需要模型审视修改
     #--data_dir, --model_dir, --precision_mode, --over_dump, --over_dump_path，--data_dump_flag，--data_dump_step，--data_dump_path，--profiling，--profiling_dump_path
-
-    python3.7 $cur_path/../train.py \
+    if [ "x${bind_core}" != x ];then
+        bind_core="taskset -c $a-$c"
+    fi
+    nohup ${bind_core} python3.7 $cur_path/../train.py \
     --rank_size=8 \
     --mode=train_and_evaluate \
     --max_epochs=150 \