replace tab with spaces

mindspore/ops/operations/image_ops.py

@@ -29,7 +29,7 @@ class CropAndResize(PrimitiveWithInfer):
         In case that the output shape depends on crop_size, the crop_size must be constant.
 
     Args:
-        method (str):  	An optional string that specifies the sampling method for resizing.
+        method (str): An optional string that specifies the sampling method for resizing.
             It can be "bilinear", "nearest" or "bilinear_v2". The option "bilinear" stands for standard bilinear
             interpolation algorithm, while "bilinear_v2" may result in better result in some cases. Default: "bilinear"
         extrapolation_value (float): An optional float value used extrapolation, if applicable. Default: 0.

model_zoo/official/cv/maskrcnn_mobilenetv1/scripts/run_distribute_train.sh

@@ -16,16 +16,16 @@
 
 if [ $# != 2 ] && [ $# != 1 ]
 then 
-	echo "Usage: sh run_distribute_train.sh [RANK_TABLE_FILE] [PRETRAINED_PATH](optional)"
-exit 1
+    echo "Usage: sh run_distribute_train.sh [RANK_TABLE_FILE] [PRETRAINED_PATH](optional)"
+    exit 1
 fi
 
 get_real_path(){
-  if [ "${1:0:1}" == "/" ]; then
-    echo "$1"
-  else
-    echo "$(realpath -m $PWD/$1)"
-  fi
+    if [ "${1:0:1}" == "/" ]; then
+        echo "$1"
+    else
+        echo "$(realpath -m $PWD/$1)"
+    fi
 }
 PATH1=$(get_real_path $1)
 PATH2=$2
@@ -40,7 +40,7 @@ fi
 if [ ! -f $PATH1 ]
 then 
     echo "error: RANK_TABLE_FILE=$PATH1 is not a file"
-exit 1
+    exit 1
 fi 
 
 ulimit -u unlimited

model_zoo/official/cv/maskrcnn_mobilenetv1/scripts/run_standalone_train.sh

@@ -16,16 +16,16 @@
 
 if [ $# != 1 ] && [ $# != 0 ]
 then 
-	echo "Usage: sh run_standalone_train.sh [PRETRAINED_PATH](optional)"
-exit 1
+    echo "Usage: sh run_standalone_train.sh [PRETRAINED_PATH](optional)"
+    exit 1
 fi
 
 get_real_path(){
-  if [ "${1:0:1}" == "/" ]; then
-    echo "$1"
-  else
-    echo "$(realpath -m $PWD/$1)"
-  fi
+    if [ "${1:0:1}" == "/" ]; then
+        echo "$1"
+    else
+        echo "$(realpath -m $PWD/$1)"
+    fi
 }
 
 if [ $# == 1 ]

model_zoo/official/cv/mobilenetv1/scripts/run_distribute_train.sh

@@ -17,13 +17,13 @@
 if [ $# != 3 ] && [ $# != 4 ]
 then 
     echo "Usage: sh run_distribute_train.sh [cifar10|imagenet2012] [RANK_TABLE_FILE] [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)"
-exit 1
+    exit 1
 fi
 
 if [ $1 != "cifar10" ] && [ $1 != "imagenet2012" ]
 then 
     echo "error: the selected dataset is neither cifar10 nor imagenet2012"
-exit 1
+    exit 1
 fi
 
 get_real_path(){
@@ -45,19 +45,19 @@ fi
 if [ ! -f $PATH1 ]
 then 
     echo "error: RANK_TABLE_FILE=$PATH1 is not a file"
-exit 1
+    exit 1
 fi 
 
 if [ ! -d $PATH2 ]
 then 
     echo "error: DATASET_PATH=$PATH2 is not a directory"
-exit 1
+    exit 1
 fi 
 
 if [ $# == 4 ] && [ ! -f $PATH3 ]
 then
     echo "error: PRETRAINED_CKPT_PATH=$PATH3 is not a file"
-exit 1
+    exit 1
 fi
 
 ulimit -u unlimited
@@ -81,7 +81,7 @@ do
     echo "start training for rank $RANK_ID, device $DEVICE_ID"
     env > env.log
     if [ $# == 3 ]
-    then	    
+    then    
         python train.py --dataset=$1 --run_distribute=True --device_num=$DEVICE_NUM --dataset_path=$PATH2 &> log &
     fi
     

model_zoo/official/cv/mobilenetv2_quant/scripts/run_train.sh

@@ -119,7 +119,7 @@ run_ascend(){
         echo "start training for rank $RANK_ID, device $DEVICE_ID"
         env > env.log
         if [ $# == 3 ]
-        then	    
+        then    
             python train.py --device_target=$1  --dataset_path=$PATH2 &> train.log &
         fi
         

model_zoo/official/cv/resnet/scripts/run_distribute_train.sh

@@ -16,8 +16,8 @@
 
 if [ $# != 4 ] && [ $# != 5 ]
 then 
-	echo "Usage: sh run_distribute_train.sh [resnet50|resnet101|se-resnet50] [cifar10|imagenet2012] [RANK_TABLE_FILE] [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)"
-exit 1
+    echo "Usage: sh run_distribute_train.sh [resnet50|resnet101|se-resnet50] [cifar10|imagenet2012] [RANK_TABLE_FILE] [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)"
+    exit 1
 fi
 
 if [ $1 != "resnet50" ] && [ $1 != "resnet101" ] && [ $1 != "se-resnet50" ]
@@ -99,7 +99,7 @@ do
     echo "start training for rank $RANK_ID, device $DEVICE_ID"
     env > env.log
     if [ $# == 4 ]
-    then	    
+    then    
         python train.py --net=$1 --dataset=$2 --run_distribute=True --device_num=$DEVICE_NUM --dataset_path=$PATH2 &> log &
     fi
     

model_zoo/official/cv/resnet/scripts/run_distribute_train_gpu.sh

@@ -16,26 +16,26 @@
 
 if [ $# != 3 ] && [ $# != 4 ]
 then 
-	echo "Usage: sh run_distribute_train_gpu.sh [resnet50|resnet101] [cifar10|imagenet2012]  [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)"
-exit 1
+    echo "Usage: sh run_distribute_train_gpu.sh [resnet50|resnet101] [cifar10|imagenet2012]  [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)"
+    exit 1
 fi
 
 if [ $1 != "resnet50" ] && [ $1 != "resnet101" ]
 then 
     echo "error: the selected net is neither resnet50 nor resnet101"
-exit 1
+    exit 1
 fi
 
 if [ $2 != "cifar10" ] && [ $2 != "imagenet2012" ]
 then 
     echo "error: the selected dataset is neither cifar10 nor imagenet2012"
-exit 1
+    exit 1
 fi
 
 if [ $1 == "resnet101" ] && [ $2 == "cifar10" ]
 then 
     echo "error: training resnet101 with cifar10 dataset is unsupported now!"
-exit 1
+    exit 1
 fi
 
 
@@ -58,13 +58,13 @@ fi
 if [ ! -d $PATH1 ]
 then 
     echo "error: DATASET_PATH=$PATH1 is not a directory"
-exit 1
+    exit 1
 fi 
 
 if [ $# == 5 ] && [ ! -f $PATH2 ]
 then
     echo "error: PRETRAINED_CKPT_PATH=$PATH2 is not a file"
-exit 1
+    exit 1
 fi
 
 ulimit -u unlimited
@@ -79,15 +79,15 @@ cp -r ../src ./train_parallel
 cd ./train_parallel || exit
 
 if [ $# == 3 ]
-then	    
-        mpirun --allow-run-as-root -n $RANK_SIZE --output-filename log_output --merge-stderr-to-stdout \
-	      python train.py --net=$1 --dataset=$2 --run_distribute=True \
-	      --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 &> log &
+then
+    mpirun --allow-run-as-root -n $RANK_SIZE --output-filename log_output --merge-stderr-to-stdout \
+           python train.py --net=$1 --dataset=$2 --run_distribute=True \
+           --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 &> log &
 fi
     
 if [ $# == 4 ]
 then
-        mpirun --allow-run-as-root -n $RANK_SIZE --output-filename log_output --merge-stderr-to-stdout \
-          python train.py --net=$1 --dataset=$2 --run_distribute=True \
-	  --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 --pre_trained=$PATH2 &> log &
+    mpirun --allow-run-as-root -n $RANK_SIZE --output-filename log_output --merge-stderr-to-stdout \
+           python train.py --net=$1 --dataset=$2 --run_distribute=True \
+           --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 --pre_trained=$PATH2 &> log &
 fi

model_zoo/official/cv/resnet/scripts/run_eval_gpu_resnet_benckmark.sh

@@ -16,10 +16,10 @@
 
 if [ $# != 1 ] && [ $# != 2 ] && [ $# != 3 ] && [ $# != 4 ] && [ $# != 5 ]
 then 
-	echo "Usage: sh run_eval_gpu_resnet_benchmark.sh [DATASET_PATH] [CKPT_PATH] [BATCH_SIZE](optional) \
-     [DTYPE](optional)"
-  echo "Example: sh run_eval_gpu_resnet_benchmark.sh /path/imagenet/train /path/ckpt 256 FP16"
-exit 1
+    echo "Usage: sh run_eval_gpu_resnet_benchmark.sh [DATASET_PATH] [CKPT_PATH] [BATCH_SIZE](optional) \
+          [DTYPE](optional)"
+    echo "Example: sh run_eval_gpu_resnet_benchmark.sh /path/imagenet/train /path/ckpt 256 FP16"
+    exit 1
 fi
 
 get_real_path(){

model_zoo/official/cv/resnet/scripts/run_gpu_resnet_benchmark.sh

@@ -16,10 +16,10 @@
 
 if [ $# != 1 ] && [ $# != 2 ] && [ $# != 3 ] && [ $# != 4 ] && [ $# != 5 ]
 then 
-	echo "Usage: sh run_gpu_resnet_benchmark.sh [DATASET_PATH] [BATCH_SIZE](optional) [DTYPE](optional)\
-   [DEVICE_NUM](optional) [SAVE_CKPT](optional) [SAVE_PATH](optional)"
-  echo "Example: sh run_gpu_resnet_benchmark.sh /path/imagenet/train 256 FP16 8 true /path/ckpt"
-exit 1
+    echo "Usage: sh run_gpu_resnet_benchmark.sh [DATASET_PATH] [BATCH_SIZE](optional) [DTYPE](optional)\
+          [DEVICE_NUM](optional) [SAVE_CKPT](optional) [SAVE_PATH](optional)"
+    echo "Example: sh run_gpu_resnet_benchmark.sh /path/imagenet/train 256 FP16 8 true /path/ckpt"
+    exit 1
 fi
 
 get_real_path(){

model_zoo/official/cv/resnet/scripts/run_parameter_server_train.sh

@@ -16,26 +16,26 @@
 
 if [ $# != 4 ] && [ $# != 5 ]
 then 
-	echo "Usage: sh run_distribute_train.sh [resnet50|resnet101] [cifar10|imagenet2012] [RANK_TABLE_FILE] [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)"
-exit 1
+    echo "Usage: sh run_distribute_train.sh [resnet50|resnet101] [cifar10|imagenet2012] [RANK_TABLE_FILE] [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)"
+    exit 1
 fi
 
 if [ $1 != "resnet50" ] && [ $1 != "resnet101" ]
 then 
     echo "error: the selected net is neither resnet50 nor resnet101"
-exit 1
+    exit 1
 fi
 
 if [ $2 != "cifar10" ] && [ $2 != "imagenet2012" ]
 then 
     echo "error: the selected dataset is neither cifar10 nor imagenet2012"
-exit 1
+    exit 1
 fi
 
 if [ $1 == "resnet101" ] && [ $2 == "cifar10" ]
 then 
     echo "error: training resnet101 with cifar10 dataset is unsupported now!"
-exit 1
+    exit 1
 fi
 
 
@@ -58,19 +58,19 @@ fi
 if [ ! -f $PATH1 ]
 then 
     echo "error: RANK_TABLE_FILE=$PATH1 is not a file"
-exit 1
+    exit 1
 fi 
 
 if [ ! -d $PATH2 ]
 then 
     echo "error: DATASET_PATH=$PATH2 is not a directory"
-exit 1
+    exit 1
 fi 
 
 if [ $# == 5 ] && [ ! -f $PATH3 ]
 then
     echo "error: PRETRAINED_CKPT_PATH=$PATH3 is not a file"
-exit 1
+    exit 1
 fi
 
 ulimit -u unlimited
@@ -96,7 +96,7 @@ cp -r ../src ./sched
 cd ./sched || exit
 echo "start scheduler"
 if [ $# == 4 ]
-then	    
+then
     python train.py --net=$1 --dataset=$2 --run_distribute=True --device_num=1 --dataset_path=$PATH2 --parameter_server=True &> sched.log &
 fi
 
@@ -119,7 +119,7 @@ do
     cd ./server_$i || exit
     echo "start server"
     if [ $# == 4 ]
-    then	    
+    then
         python train.py --net=$1 --dataset=$2 --run_distribute=True --device_num=1 --dataset_path=$PATH2 --parameter_server=True &> server_$i.log &
     fi
     
@@ -145,7 +145,7 @@ do
     echo "start training for worker rank $RANK_ID, device $DEVICE_ID"
     env > env.log
     if [ $# == 4 ]
-    then	    
+    then
         python train.py --net=$1 --dataset=$2 --run_distribute=True --device_num=$DEVICE_NUM --dataset_path=$PATH2 --parameter_server=True &> worker_$i.log &
     fi
     

model_zoo/official/cv/resnet/scripts/run_parameter_server_train_gpu.sh

@@ -16,26 +16,26 @@
 
 if [ $# != 3 ] && [ $# != 4 ]
 then 
-	echo "Usage: sh run_distribute_train_gpu.sh [resnet50|resnet101] [cifar10|imagenet2012]  [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)"
-exit 1
+    echo "Usage: sh run_distribute_train_gpu.sh [resnet50|resnet101] [cifar10|imagenet2012]  [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)"
+    exit 1
 fi
 
 if [ $1 != "resnet50" ] && [ $1 != "resnet101" ]
 then 
     echo "error: the selected net is neither resnet50 nor resnet101"
-exit 1
+    exit 1
 fi
 
 if [ $2 != "cifar10" ] && [ $2 != "imagenet2012" ]
 then 
     echo "error: the selected dataset is neither cifar10 nor imagenet2012"
-exit 1
+    exit 1
 fi
 
 if [ $1 == "resnet101" ] && [ $2 == "cifar10" ]
 then 
     echo "error: training resnet101 with cifar10 dataset is unsupported now!"
-exit 1
+    exit 1
 fi
 
 
@@ -58,13 +58,13 @@ fi
 if [ ! -d $PATH2 ]
 then 
     echo "error: DATASET_PATH=$PATH1 is not a directory"
-exit 1
+    exit 1
 fi 
 
 if [ $# == 5 ] && [ ! -f $PATH2 ]
 then
     echo "error: PRETRAINED_CKPT_PATH=$PATH2 is not a file"
-exit 1
+    exit 1
 fi
 
 export DEVICE_NUM=8
@@ -85,44 +85,43 @@ cp *.sh ./sched
 cp -r ../src ./sched
 cd ./sched || exit
 if [ $# == 3 ]
-then	    
-        mpirun --allow-run-as-root -n 1 --output-filename log_output --merge-stderr-to-stdout \
-	      python train.py --net=$1 --dataset=$2 --run_distribute=True \
-	      --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 --parameter_server=True &> sched.log &
+then
+    mpirun --allow-run-as-root -n 1 --output-filename log_output --merge-stderr-to-stdout \
+    python train.py --net=$1 --dataset=$2 --run_distribute=True \
+    --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 --parameter_server=True &> sched.log &
 fi
-    
+
 if [ $# == 4 ]
 then
-        mpirun --allow-run-as-root -n 1 --output-filename log_output --merge-stderr-to-stdout \
-          python train.py --net=$1 --dataset=$2 --run_distribute=True \
-	  --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 --parameter_server=True --pre_trained=$PATH2 &> sched.log &
+    mpirun --allow-run-as-root -n 1 --output-filename log_output --merge-stderr-to-stdout \
+    python train.py --net=$1 --dataset=$2 --run_distribute=True \
+    --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 --parameter_server=True --pre_trained=$PATH2 &> sched.log &
 fi
 cd ..
 
-
 export MS_ROLE=MS_PSERVER
 for((i=0;i<$MS_SERVER_NUM;i++));
 do
-  rm -rf ./server_$i
-  mkdir ./server_$i
-  cp ../*.py ./server_$i
-  cp *.sh ./server_$i
-  cp -r ../src ./server_$i
-  cd ./server_$i || exit
-  if [ $# == 3 ]
-  then	    
-          mpirun --allow-run-as-root -n 1 --output-filename log_output --merge-stderr-to-stdout \
-          python train.py --net=$1 --dataset=$2 --run_distribute=True \
-          --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 --parameter_server=True &> server_$i.log &
-  fi
-      
-  if [ $# == 4 ]
-  then
-          mpirun --allow-run-as-root -n 1 --output-filename log_output --merge-stderr-to-stdout \
-            python train.py --net=$1 --dataset=$2 --run_distribute=True \
-      --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 --parameter_server=True --pre_trained=$PATH2 &> server_$i.log &
-  fi
-  cd ..
+    rm -rf ./server_$i
+    mkdir ./server_$i
+    cp ../*.py ./server_$i
+    cp *.sh ./server_$i
+    cp -r ../src ./server_$i
+    cd ./server_$i || exit
+    if [ $# == 3 ]
+    then
+        mpirun --allow-run-as-root -n 1 --output-filename log_output --merge-stderr-to-stdout \
+        python train.py --net=$1 --dataset=$2 --run_distribute=True \
+        --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 --parameter_server=True &> server_$i.log &
+    fi
+        
+    if [ $# == 4 ]
+    then
+        mpirun --allow-run-as-root -n 1 --output-filename log_output --merge-stderr-to-stdout \
+        python train.py --net=$1 --dataset=$2 --run_distribute=True \
+        --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 --parameter_server=True --pre_trained=$PATH2 &> server_$i.log &
+    fi
+    cd ..
 done
 
 export MS_ROLE=MS_WORKER
@@ -133,16 +132,16 @@ cp *.sh ./worker
 cp -r ../src ./worker
 cd ./worker || exit
 if [ $# == 3 ]
-then	    
-        mpirun --allow-run-as-root -n $RANK_SIZE --output-filename log_output --merge-stderr-to-stdout \
-	      python train.py --net=$1 --dataset=$2 --run_distribute=True \
-	      --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 --parameter_server=True &> worker.log &
+then
+    mpirun --allow-run-as-root -n $RANK_SIZE --output-filename log_output --merge-stderr-to-stdout \
+    python train.py --net=$1 --dataset=$2 --run_distribute=True \
+    --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 --parameter_server=True &> worker.log &
 fi
-    
+
 if [ $# == 4 ]
 then
-        mpirun --allow-run-as-root -n $RANK_SIZE --output-filename log_output --merge-stderr-to-stdout \
-          python train.py --net=$1 --dataset=$2 --run_distribute=True \
-	  --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 --parameter_server=True --pre_trained=$PATH2 &> worker.log &
+    mpirun --allow-run-as-root -n $RANK_SIZE --output-filename log_output --merge-stderr-to-stdout \
+    python train.py --net=$1 --dataset=$2 --run_distribute=True \
+    --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 --parameter_server=True --pre_trained=$PATH2 &> worker.log &
 fi
 cd ..

model_zoo/official/cv/resnet50_quant/scripts/run_train.sh

@@ -86,7 +86,7 @@ run_ascend(){
         echo "start training for rank $RANK_ID, device $DEVICE_ID"
         env > env.log
         if [ $# == 3 ]
-        then	    
+        then
             python train.py  --device_target=$1 --run_distribute=True --device_num=$DEVICE_NUM --dataset_path=$PATH2 &> train.log &
         fi
         
@@ -140,7 +140,7 @@ run_ascend(){
 #     echo "start training"
 #     env > env.log
 #     if [ $# == 2 ]
-#     then	    
+#     then
 #         mpirun --allow-run-as-root -n $RANK_SIZE
 #         python train.py --device_target=$1  --dataset_path=$PATH1 &> log &
 #     fi
@@ -158,4 +158,4 @@ if [ $1 = "Ascend" ] ; then
     run_ascend "$@"
 else
     echo "Unsupported device target: $1"
-fi;
+fi;

model_zoo/official/cv/resnet_thor/scripts/run_distribute_train_gpu.sh

@@ -15,9 +15,9 @@
 # ============================================================================
 
 if [ $# != 2 ]
-then 
-	echo "Usage: sh run_distribute_train_gpu.sh [DATASET_PATH] [DEVICE_NUM]"
-exit 1
+then
+    echo "Usage: sh run_distribute_train_gpu.sh [DATASET_PATH] [DEVICE_NUM]"
+    exit 1
 fi
 
 get_real_path(){

model_zoo/official/cv/resnext50/scripts/run_distribute_train.sh

@@ -22,7 +22,7 @@ echo "hccl connect time out has changed to 600 second"
 PATH_CHECKPOINT=""
 if [ $# == 3 ]
 then
-	PATH_CHECKPOINT=$3
+    PATH_CHECKPOINT=$3
 fi
 
 cores=`cat /proc/cpuinfo|grep "processor" |wc -l`

model_zoo/official/cv/resnext50/scripts/run_distribute_train_for_gpu.sh

@@ -19,11 +19,11 @@ export RANK_SIZE=8
 PATH_CHECKPOINT=""
 if [ $# == 2 ]
 then
-	PATH_CHECKPOINT=$2
+    PATH_CHECKPOINT=$2
 fi
 
 mpirun --allow-run-as-root -n $RANK_SIZE --output-filename log_output --merge-stderr-to-stdout \
-	python train.py  \
+    python train.py  \
     --is_distribute=1 \
     --platform="GPU" \
     --pretrained=$PATH_CHECKPOINT \

model_zoo/official/cv/retinaface_resnet50/scripts/run_distribute_gpu_train.sh

@@ -24,4 +24,4 @@ RANK_SIZE=$1
 export CUDA_VISIBLE_DEVICES="$2"
 
 mpirun --allow-run-as-root -n $RANK_SIZE \
-	python train.py > train.log 2>&1 &
+    python train.py > train.log 2>&1 &

model_zoo/official/cv/squeezenet/scripts/run_distribute_train.sh

@@ -16,20 +16,20 @@
 
 if [ $# != 4 ] && [ $# != 5 ]
 then 
-	echo "Usage: sh scripts/run_distribute_train.sh [squeezenet|squeezenet_residual] [cifar10|imagenet] [RANK_TABLE_FILE] [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)"
-exit 1
+    echo "Usage: sh scripts/run_distribute_train.sh [squeezenet|squeezenet_residual] [cifar10|imagenet] [RANK_TABLE_FILE] [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)"
+    exit 1
 fi
 
 if [ $1 != "squeezenet" ] && [ $1 != "squeezenet_residual" ]
 then 
     echo "error: the selected net is neither squeezenet nor squeezenet_residual"
-exit 1
+    exit 1
 fi
 
 if [ $2 != "cifar10" ] && [ $2 != "imagenet" ]
 then 
     echo "error: the selected dataset is neither cifar10 nor imagenet"
-exit 1
+    exit 1
 fi
 
 get_real_path(){
@@ -51,19 +51,19 @@ fi
 if [ ! -f $PATH1 ]
 then 
     echo "error: RANK_TABLE_FILE=$PATH1 is not a file"
-exit 1
+    exit 1
 fi 
 
 if [ ! -d $PATH2 ]
 then 
     echo "error: DATASET_PATH=$PATH2 is not a directory"
-exit 1
+    exit 1
 fi 
 
 if [ $# == 5 ] && [ ! -f $PATH3 ]
 then
     echo "error: PRETRAINED_CKPT_PATH=$PATH3 is not a file"
-exit 1
+    exit 1
 fi
 
 ulimit -u unlimited
@@ -86,7 +86,7 @@ do
     echo "start training for rank $RANK_ID, device $DEVICE_ID"
     env > env.log
     if [ $# == 4 ]
-    then	    
+    then
         python train.py --net=$1 --dataset=$2 --run_distribute=True --device_num=$DEVICE_NUM --dataset_path=$PATH2 &> log &
     fi
     

model_zoo/official/cv/unet/README.md

@@ -27,7 +27,7 @@
 
 Unet Medical model for 2D image segmentation. This implementation is as described  in the original paper [UNet: Convolutional Networks for Biomedical Image Segmentation](https://arxiv.org/abs/1505.04597). Unet, in the 2015 ISBI cell tracking competition, many of the best are obtained. In this paper, a network model for medical image segmentation is proposed, and a data enhancement method is proposed to effectively use the annotation data to solve the problem of insufficient annotation data in the medical field. A U-shaped network structure is also used to extract the context and location information.
 
-[Paper](https://arxiv.org/abs/1505.04597):  Olaf Ronneberger, Philipp Fischer, Thomas Brox. "U-Net: Convolutional Networks for Biomedical Image Segmentation." *	conditionally accepted at MICCAI 2015*. 2015.
+[Paper](https://arxiv.org/abs/1505.04597):  Olaf Ronneberger, Philipp Fischer, Thomas Brox. "U-Net: Convolutional Networks for Biomedical Image Segmentation." * conditionally accepted at MICCAI 2015*. 2015.
 
 
 # [Model Architecture](#contents)

model_zoo/official/cv/vgg16/README.md

@@ -47,8 +47,8 @@ Note that you can run the scripts based on the dataset mentioned in original pap
 
 #### Dataset used: [ImageNet2012](http://www.image-net.org/) 
 - Dataset size: ~146G, 1.28 million colorful images in 1000 classes
-	- Train: 140G, 1,281,167 images
-	- Test: 6.4G, 50, 000 images
+    - Train: 140G, 1,281,167 images
+    - Test: 6.4G, 50, 000 images
  - Data format: RGB images
     - Note: Data will be processed in src/dataset.py
 

model_zoo/official/nlp/tinybert/scripts/run_distributed_gd_gpu.sh

@@ -30,13 +30,13 @@ TEACHER_CKPT_PATH=$5
 PROJECT_DIR=$(cd "$(dirname "$0")" || exit; pwd)
 
 mpirun --allow-run-as-root -n $RANK_SIZE --output-filename log_output --merge-stderr-to-stdout \
-	python ${PROJECT_DIR}/../run_general_distill.py  \
-	--distribute="true" \
-	--device_target="GPU" \
-	--epoch_size=$EPOCH_SIZE \
-	--save_ckpt_path="" \
-	--data_dir=$DATA_DIR \
-	--schema_dir=$SCHEMA_DIR \
-	--dataset_type="tfrecord" \
-	--enable_data_sink="false" \
-	--load_teacher_ckpt_path=$TEACHER_CKPT_PATH > log.txt 2>&1 &
+    python ${PROJECT_DIR}/../run_general_distill.py  \
+    --distribute="true" \
+    --device_target="GPU" \
+    --epoch_size=$EPOCH_SIZE \
+    --save_ckpt_path="" \
+    --data_dir=$DATA_DIR \
+    --schema_dir=$SCHEMA_DIR \
+    --dataset_type="tfrecord" \
+    --enable_data_sink="false" \
+    --load_teacher_ckpt_path=$TEACHER_CKPT_PATH > log.txt 2>&1 &

model_zoo/research/cv/ghostnet/Readme.md

@@ -36,7 +36,7 @@ Dataset used: [Oxford-IIIT Pet](https://www.robots.ox.ac.uk/~vgg/data/pets/)
   - Train:  3680 images
   - Test: 3369 images
 - Data format: RGB images.
-	- Note: Data will be processed in src/dataset.py
+  - Note: Data will be processed in src/dataset.py
 
 # [Environment Requirements](#contents)
 

model_zoo/research/cv/ghostnet_quant/Readme.md

@@ -41,7 +41,7 @@ Dataset used: [Oxford-IIIT Pet](https://www.robots.ox.ac.uk/~vgg/data/pets/)
   - Train:  3680 images
   - Test: 3369 images
 - Data format: RGB images.
-	- Note: Data will be processed in src/dataset.py
+  - Note: Data will be processed in src/dataset.py
 
 # [Environment Requirements](#contents)
 

model_zoo/research/cv/squeezenet/scripts/run_distribute_train.sh

@@ -16,20 +16,20 @@
 
 if [ $# != 4 ] && [ $# != 5 ]
 then 
-	echo "Usage: sh scripts/run_distribute_train.sh [squeezenet|squeezenet_residual] [cifar10|imagenet] [RANK_TABLE_FILE] [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)"
-exit 1
+    echo "Usage: sh scripts/run_distribute_train.sh [squeezenet|squeezenet_residual] [cifar10|imagenet] [RANK_TABLE_FILE] [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)"
+    exit 1
 fi
 
 if [ $1 != "squeezenet" ] && [ $1 != "squeezenet_residual" ]
 then 
     echo "error: the selected net is neither squeezenet nor squeezenet_residual"
-exit 1
+    exit 1
 fi
 
 if [ $2 != "cifar10" ] && [ $2 != "imagenet" ]
 then 
     echo "error: the selected dataset is neither cifar10 nor imagenet"
-exit 1
+    exit 1
 fi
 
 get_real_path(){
@@ -51,19 +51,19 @@ fi
 if [ ! -f $PATH1 ]
 then 
     echo "error: RANK_TABLE_FILE=$PATH1 is not a file"
-exit 1
+    exit 1
 fi 
 
 if [ ! -d $PATH2 ]
 then 
     echo "error: DATASET_PATH=$PATH2 is not a directory"
-exit 1
+    exit 1
 fi 
 
 if [ $# == 5 ] && [ ! -f $PATH3 ]
 then
     echo "error: PRETRAINED_CKPT_PATH=$PATH3 is not a file"
-exit 1
+    exit 1
 fi
 
 ulimit -u unlimited
@@ -86,7 +86,7 @@ do
     echo "start training for rank $RANK_ID, device $DEVICE_ID"
     env > env.log
     if [ $# == 4 ]
-    then	    
+    then
         python train.py --net=$1 --dataset=$2 --run_distribute=True --device_num=$DEVICE_NUM --dataset_path=$PATH2 &> log &
     fi
     

model_zoo/research/cv/squeezenet/scripts/run_distribute_train_gpu.sh

@@ -16,20 +16,20 @@
 
 if [ $# != 3 ] && [ $# != 4 ]
 then 
-	  echo "Usage: sh scripts/run_distribute_train_gpu.sh [squeezenet|squeezenet_residual] [cifar10|imagenet] [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)"
-exit 1
+    echo "Usage: sh scripts/run_distribute_train_gpu.sh [squeezenet|squeezenet_residual] [cifar10|imagenet] [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)"
+    exit 1
 fi
 
 if [ $1 != "squeezenet" ] && [ $1 != "squeezenet_residual" ]
 then 
     echo "error: the selected net is neither squeezenet nor squeezenet_residual"
-exit 1
+    exit 1
 fi
 
 if [ $2 != "cifar10" ] && [ $2 != "imagenet" ]
 then 
     echo "error: the selected dataset is neither cifar10 nor imagenet"
-exit 1
+    exit 1
 fi
 
 get_real_path(){
@@ -51,13 +51,13 @@ fi
 if [ ! -d $PATH1 ]
 then 
     echo "error: DATASET_PATH=$PATH1 is not a directory"
-exit 1
+    exit 1
 fi 
 
 if [ $# == 5 ] && [ ! -f $PATH2 ]
 then
     echo "error: PRETRAINED_CKPT_PATH=$PATH2 is not a file"
-exit 1
+    exit 1
 fi
 
 ulimit -u unlimited
@@ -71,15 +71,15 @@ cp -r ./src ./train_parallel
 cd ./train_parallel || exit
 
 if [ $# == 3 ]
-then	    
-        mpirun --allow-run-as-root -n $RANK_SIZE --output-filename log_output --merge-stderr-to-stdout \
-	      python train.py --net=$1 --dataset=$2 --run_distribute=True \
-	      --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 &> log &
+then
+    mpirun --allow-run-as-root -n $RANK_SIZE --output-filename log_output --merge-stderr-to-stdout \
+    python train.py --net=$1 --dataset=$2 --run_distribute=True \
+    --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 &> log &
 fi
     
 if [ $# == 4 ]
 then
-        mpirun --allow-run-as-root -n $RANK_SIZE --output-filename log_output --merge-stderr-to-stdout \
-          python train.py --net=$1 --dataset=$2 --run_distribute=True \
-	  --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 --pre_trained=$PATH2 &> log &
+    mpirun --allow-run-as-root -n $RANK_SIZE --output-filename log_output --merge-stderr-to-stdout \
+    python train.py --net=$1 --dataset=$2 --run_distribute=True \
+    --device_num=$DEVICE_NUM --device_target="GPU" --dataset_path=$PATH1 --pre_trained=$PATH2 &> log &
 fi

model_zoo/research/cv/tinynet/script/train_distributed_gpu.sh

@@ -78,5 +78,5 @@ time mpirun -n $RANK_SIZE --allow-run-as-root python3 ${current_exec_path}/train
                                 --distributed \
                                 --data_path /path_to_ImageNet/  \
                                 --GPU \
-			      	              --dataset_sink > tinynet_c.log 2>&1 &
+                                --dataset_sink > tinynet_c.log 2>&1 &
 

scripts/dbg_dump_parser.sh

@@ -64,7 +64,7 @@ function checkopts()
           usage
           exit 1
         fi
-		;;
+        ;;
       h)
         usage
         exit 0

scripts/run_perf_test.sh

@@ -22,10 +22,10 @@ PYTHONTEST_DIR="${PROJECT_PATH}/tests/perf_test"
 PERF_RESULT_DIR="${CURRPATH}/"
 PERF_SUFFIX=".perf"
 if [[ "${BUILD_PATH}" ]];then
-	echo "BUILD_PATH = ${BUILD_PATH}"
+    echo "BUILD_PATH = ${BUILD_PATH}"
 else
     BUILD_PATH="${PROJECT_PATH}/build"
-	echo "BUILD_PATH = ${BUILD_PATH}"
+    echo "BUILD_PATH = ${BUILD_PATH}"
 fi
 
 cd "${PROJECT_PATH}"; sh build.sh -t off -l none -r -p on -j 20; cd -

tests/ut/cpp/runtest.sh

@@ -18,10 +18,10 @@ set -e
 BASEPATH=$(cd "$(dirname "$0")"; pwd)
 PROJECT_PATH=${BASEPATH}/../../..
 if [ $BUILD_PATH ];then
-	echo "BUILD_PATH = $BUILD_PATH"
+    echo "BUILD_PATH = $BUILD_PATH"
 else
-  BUILD_PATH=${PROJECT_PATH}/build
-	echo "BUILD_PATH = $BUILD_PATH"
+    BUILD_PATH=${PROJECT_PATH}/build
+    echo "BUILD_PATH = $BUILD_PATH"
 fi
 cd ${BUILD_PATH}/mindspore/tests/ut/cpp
 

tests/ut/python/runtest.sh

@@ -18,10 +18,10 @@ IGNORE_EXEC="--ignore=$CURRPATH/exec"
 PROJECT_PATH=$(cd ${CURRPATH}/../../..; pwd)
 
 if [ $BUILD_PATH ];then
-	echo "BUILD_PATH = $BUILD_PATH"
+    echo "BUILD_PATH = $BUILD_PATH"
 else
     BUILD_PATH=${PROJECT_PATH}/build
-	echo "BUILD_PATH = $BUILD_PATH"
+    echo "BUILD_PATH = $BUILD_PATH"
 fi
 
 export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:${BUILD_PATH}/third_party/gtest/lib
@@ -84,4 +84,4 @@ else
 fi
 
 RET=$?
-exit ${RET}
+exit ${RET}

tests/ut/python/runtest_opensrc.sh

@@ -17,10 +17,10 @@
 CURRPATH=$(cd $(dirname $0); pwd)
 PROJECT_PATH=${CURRPATH}/../..
 if [ $BUILD_PATH ];then
-	echo "BUILD_PATH = $BUILD_PATH"
+    echo "BUILD_PATH = $BUILD_PATH"
 else
     BUILD_PATH=${PROJECT_PATH}/build
-	echo "BUILD_PATH = $BUILD_PATH"
+    echo "BUILD_PATH = $BUILD_PATH"
 fi
 cd ${BUILD_PATH}/mindspore/tests/ut