remove old MINDSPORE_HCCL_CONFIG_PATH in model zoo

model_zoo/bert_thor/README.md

@@ -21,7 +21,7 @@ This is an example of training bert by second-order optimizer THOR. THOR is a no
 - Run `run_distribute_pretrain.sh` for distributed pre-training of BERT-base and BERT-NEZHA model.
 
     ``` bash   
-    sh scripts/run_distribute_pretrain.sh DEVICE_NUM EPOCH_SIZE DATA_DIR SCHEMA_DIR MINDSPORE_HCCL_CONFIG_PATH
+    sh scripts/run_distribute_pretrain.sh DEVICE_NUM EPOCH_SIZE DATA_DIR SCHEMA_DIR RANK_TABLE_FILE
     ```  
 
 ## Usage

model_zoo/bert_thor/scripts/run_distribute_pretrain.sh

@@ -16,7 +16,7 @@
 
 echo "=============================================================================================================="
 echo "Please run the scipt as: "
-echo "bash run_distribute_pretrain.sh DEVICE_NUM EPOCH_SIZE DATA_DIR SCHEMA_DIR MINDSPORE_HCCL_CONFIG_PATH"
+echo "bash run_distribute_pretrain.sh DEVICE_NUM EPOCH_SIZE DATA_DIR SCHEMA_DIR RANK_TABLE_FILE"
 echo "for example: bash run_distribute_pretrain.sh 8 1 /path/zh-wiki/ /path/Schema.json /path/hccl.json"
 echo "It is better to use absolute path."
 echo "=============================================================================================================="
@@ -26,7 +26,6 @@ DATA_DIR=$3
 SCHEMA_DIR=$4
 
 ulimit -u unlimited
-export MINDSPORE_HCCL_CONFIG_PATH=$5
 export RANK_TABLE_FILE=$5
 export RANK_SIZE=$1
 export HCCL_CONNECT_TIMEOUT=300

model_zoo/mobilenetv2/Readme.md

@@ -60,7 +60,7 @@ Dataset used: [imagenet](http://www.image-net.org/)
 
 ### Usage
 
-- Ascend: sh run_train.sh Ascend [DEVICE_NUM] [VISIABLE_DEVICES(0,1,2,3,4,5,6,7)] [MINDSPORE_HCCL_CONFIG_PATH] [DATASET_PATH] [CKPT_PATH]
+- Ascend: sh run_train.sh Ascend [DEVICE_NUM] [VISIABLE_DEVICES(0,1,2,3,4,5,6,7)] [RANK_TABLE_FILE] [DATASET_PATH] [CKPT_PATH]
 - GPU: sh run_trian.sh GPU [DEVICE_NUM] [VISIABLE_DEVICES(0,1,2,3,4,5,6,7)] [DATASET_PATH]
 
 ### Launch

model_zoo/mobilenetv2/scripts/run_train.sh

@@ -30,7 +30,6 @@ run_ascend()
 
     BASEPATH=$(cd "`dirname $0`" || exit; pwd)
     export PYTHONPATH=${BASEPATH}:$PYTHONPATH
-    export MINDSPORE_HCCL_CONFIG_PATH=$4
     export RANK_TABLE_FILE=$4
     if [ -d "../train" ];
     then
@@ -81,7 +80,7 @@ run_gpu()
 if [ $# -gt 6 ] || [ $# -lt 4 ]
 then
     echo "Usage:\n \
-          Ascend: sh run_train.sh Ascend [DEVICE_NUM] [VISIABLE_DEVICES(0,1,2,3,4,5,6,7)] [MINDSPORE_HCCL_CONFIG_PATH] [DATASET_PATH] [CKPT_PATH]\n \
+          Ascend: sh run_train.sh Ascend [DEVICE_NUM] [VISIABLE_DEVICES(0,1,2,3,4,5,6,7)] [RANK_TABLE_FILE] [DATASET_PATH] [CKPT_PATH]\n \
           GPU: sh run_train.sh GPU [DEVICE_NUM] [VISIABLE_DEVICES(0,1,2,3,4,5,6,7)] [DATASET_PATH]\n \
           "
 exit 1

model_zoo/mobilenetv2_quant/src/launch.py

@@ -141,7 +141,6 @@ def main():
         env['RANK_ID'] = str(rank_id)
         env['DEVICE_ID'] = str(device_id)
         if args.nproc_per_node > 1:
-            env['MINDSPORE_HCCL_CONFIG_PATH'] = table_fn
             env['RANK_TABLE_FILE'] = table_fn
         if os.path.exists(device_dir):
             shutil.rmtree(device_dir)

model_zoo/mobilenetv3/src/launch.py

@@ -138,7 +138,7 @@ def main():
         env['RANK_ID'] = str(rank_id)
         env['DEVICE_ID'] = str(device_id)
         if args.nproc_per_node > 1:
-            env['MINDSPORE_HCCL_CONFIG_PATH'] = table_fn
+            env['RANK_TABLE_FILE'] = table_fn
             env['RANK_TABLE_FILE'] = table_fn
         if os.path.exists(device_dir):
             shutil.rmtree(device_dir)

model_zoo/official/cv/deeplabv3/README.md

@@ -25,7 +25,7 @@ This is an example of training DeepLabV3 with PASCAL VOC 2012 dataset in MindSpo
 	```
 - Run `run_distribute_train.sh` for distributed training.
 	``` bash
-	sh scripts/run_distribute_train.sh MINDSPORE_HCCL_CONFIG_PATH DATA_PATH
+	sh scripts/run_distribute_train.sh RANK_TABLE_FILE DATA_PATH
 	```
 ### Evaluation
 Set options in evaluation_config.py. Make sure the 'data_file' and 'finetune_ckpt' are set to your own path.

model_zoo/official/cv/deeplabv3/scripts/run_distribute_train.sh

@@ -16,14 +16,13 @@
  
 echo "=============================================================================================================="
 echo "Please run the scipt as: "
-echo "bash run_distribute_train.sh MINDSPORE_HCCL_CONFIG_PATH DATA_PATH"
-echo "for example: bash run_distribute_train.sh  MINDSPORE_HCCL_CONFIG_PATH DATA_PATH [PRETRAINED_CKPT_PATH](option)"
+echo "bash run_distribute_train.sh RANK_TABLE_FILE DATA_PATH"
+echo "for example: bash run_distribute_train.sh  RANK_TABLE_FILE DATA_PATH [PRETRAINED_CKPT_PATH](option)"
 echo "It is better to use absolute path."
 echo "=============================================================================================================="
  
 DATA_DIR=$2
- 
-export MINDSPORE_HCCL_CONFIG_PATH=$1
+
 export RANK_TABLE_FILE=$1
 export RANK_SIZE=8
 PATH_CHECKPOINT=""

model_zoo/official/cv/faster_rcnn/README.md

@@ -87,13 +87,13 @@ FasterRcnn is a two-stage target detection network,This network uses a region pr
 
 ```
 # distributed training
-sh run_distribute_train.sh [MINDSPORE_HCCL_CONFIG_PATH] [PRETRAINED_MODEL]
+sh run_distribute_train.sh [RANK_TABLE_FILE] [PRETRAINED_MODEL]
  
 # standalone training
 sh run_standalone_train.sh [PRETRAINED_MODEL]
 ```
  
-> Rank_table.json which is specified by MINDSPORE_HCCL_CONFIG_PATH is needed when you are running a distribute task. You can generate it by using the [hccl_tools](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/utils/hccl_tools).
+> Rank_table.json which is specified by RANK_TABLE_FILE is needed when you are running a distribute task. You can generate it by using the [hccl_tools](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/utils/hccl_tools).
 > As for PRETRAINED_MODEL，if not set, the model will be trained from the very beginning.Ready-made pretrained_models are not available now. Stay tuned.
 
 #### Result

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

@@ -16,7 +16,7 @@
 
 if [ $# -lt 1 ] || [ $# -gt 2 ]
 then 
-    echo "Usage: sh run_train.sh [MINDSPORE_HCCL_CONFIG_PATH] [PRETRAINED_PATH]"
+    echo "Usage: sh run_train.sh [RANK_TABLE_FILE] [PRETRAINED_PATH]"
 exit 1
 fi
 
@@ -33,7 +33,7 @@ echo $PATH1
 
 if [ ! -f $PATH1 ]
 then 
-    echo "error: MINDSPORE_HCCL_CONFIG_PATH=$PATH1 is not a file"
+    echo "error: RANK_TABLE_FILE=$PATH1 is not a file"
 exit 1
 fi 
 
@@ -51,7 +51,6 @@ fi
 ulimit -u unlimited
 export DEVICE_NUM=8
 export RANK_SIZE=8
-export MINDSPORE_HCCL_CONFIG_PATH=$PATH1
 export RANK_TABLE_FILE=$PATH1
 
 for((i=0; i<${DEVICE_NUM}; i++))

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

@@ -16,22 +16,22 @@
 
 if [ $# != 1 ]
 then
-    echo "Usage: sh run_train.sh [MINDSPORE_HCCL_CONFIG_PATH]"
+    echo "Usage: sh run_train.sh [RANK_TABLE_FILE]"
 exit 1
 fi
 
 if [ ! -f $1 ]
 then
-    echo "error: MINDSPORE_HCCL_CONFIG_PATH=$1 is not a file"
+    echo "error: RANK_TABLE_FILE=$1 is not a file"
 exit 1
 fi
 
 ulimit -u unlimited
 export DEVICE_NUM=8
 export RANK_SIZE=8
-MINDSPORE_HCCL_CONFIG_PATH=$(realpath $1)
-export MINDSPORE_HCCL_CONFIG_PATH
-echo "MINDSPORE_HCCL_CONFIG_PATH=${MINDSPORE_HCCL_CONFIG_PATH}"
+RANK_TABLE_FILE=$(realpath $1)
+export RANK_TABLE_FILE
+echo "RANK_TABLE_FILE=${RANK_TABLE_FILE}"
 
 export SERVER_ID=0
 rank_start=$((DEVICE_NUM * SERVER_ID))

model_zoo/official/cv/maskrcnn/README.md

@@ -88,7 +88,7 @@ MaskRcnn is a two-stage target detection network,This network uses a region prop
 
 ```
 # distributed training
-sh run_distribute_train.sh [MINDSPORE_HCCL_CONFIG_PATH] [PRETRAINED_MODEL]
+sh run_distribute_train.sh [RANK_TABLE_FILE] [PRETRAINED_MODEL]
  
 # standalone training
 sh run_standalone_train.sh [PRETRAINED_MODEL]

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

@@ -16,7 +16,7 @@
 
 if [ $# != 2 ]
 then 
-    echo "Usage: sh run_train.sh [MINDSPORE_HCCL_CONFIG_PATH] [PRETRAINED_PATH]"
+    echo "Usage: sh run_train.sh [RANK_TABLE_FILE] [PRETRAINED_PATH]"
 exit 1
 fi
 
@@ -35,7 +35,7 @@ echo $PATH2
 
 if [ ! -f $PATH1 ]
 then 
-    echo "error: MINDSPORE_HCCL_CONFIG_PATH=$PATH1 is not a file"
+    echo "error: RANK_TABLE_FILE=$PATH1 is not a file"
 exit 1
 fi 
 
@@ -48,7 +48,6 @@ fi
 ulimit -u unlimited
 export DEVICE_NUM=8
 export RANK_SIZE=8
-export MINDSPORE_HCCL_CONFIG_PATH=$PATH1
 export RANK_TABLE_FILE=$PATH1
 
 echo 3 > /proc/sys/vm/drop_caches

model_zoo/official/cv/resnet/README.md

@@ -132,7 +132,7 @@ Parameters for both training and evaluation can be set in config.py.
 
 ```
 # distributed training
-Usage: sh run_distribute_train.sh [resnet50|resnet101] [cifar10|imagenet2012] [MINDSPORE_HCCL_CONFIG_PATH] [DATASET_PATH]
+Usage: sh run_distribute_train.sh [resnet50|resnet101] [cifar10|imagenet2012] [RANK_TABLE_FILE] [DATASET_PATH]
        [PRETRAINED_CKPT_PATH](optional)
 
 # standalone training

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

@@ -16,7 +16,7 @@
 
 if [ $# != 4 ] && [ $# != 5 ]
 then 
-	echo "Usage: sh run_distribute_train.sh [resnet50|resnet101] [cifar10|imagenet2012] [MINDSPORE_HCCL_CONFIG_PATH] [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)"
+	echo "Usage: sh run_distribute_train.sh [resnet50|resnet101] [cifar10|imagenet2012] [RANK_TABLE_FILE] [DATASET_PATH] [PRETRAINED_CKPT_PATH](optional)"
 exit 1
 fi
 
@@ -57,7 +57,7 @@ fi
 
 if [ ! -f $PATH1 ]
 then 
-    echo "error: MINDSPORE_HCCL_CONFIG_PATH=$PATH1 is not a file"
+    echo "error: RANK_TABLE_FILE=$PATH1 is not a file"
 exit 1
 fi 
 
@@ -76,7 +76,6 @@ fi
 ulimit -u unlimited
 export DEVICE_NUM=8
 export RANK_SIZE=8
-export MINDSPORE_HCCL_CONFIG_PATH=$PATH1
 export RANK_TABLE_FILE=$PATH1
 
 for((i=0; i<${DEVICE_NUM}; i++))

model_zoo/official/cv/resnext50/README.md

@@ -82,7 +82,7 @@ Parameters for both training and evaluating can be set in config.py
 
 ```
 # distribute training example(8p)
-sh run_distribute_train.sh MINDSPORE_HCCL_CONFIG_PATH DATA_PATH
+sh run_distribute_train.sh RANK_TABLE_FILE DATA_PATH
 # standalone training
 sh run_standalone_train.sh DEVICE_ID DATA_PATH
 ```
@@ -91,7 +91,7 @@ sh run_standalone_train.sh DEVICE_ID DATA_PATH
 
 ```bash
 # distributed training example(8p) for Ascend
-sh scripts/run_distribute_train.sh MINDSPORE_HCCL_CONFIG_PATH /dataset/train
+sh scripts/run_distribute_train.sh RANK_TABLE_FILE /dataset/train
 # standalone training example for Ascend
 sh scripts/run_standalone_train.sh 0 /dataset/train
 

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

@@ -16,7 +16,7 @@
 
 echo "=============================================================================================================="
 echo "Please run the scipt as: "
-echo "sh run_distribute_train.sh DEVICE_NUM EPOCH_SIZE LR DATASET MINDSPORE_HCCL_CONFIG_PATH PRE_TRAINED PRE_TRAINED_EPOCH_SIZE"
+echo "sh run_distribute_train.sh DEVICE_NUM EPOCH_SIZE LR DATASET RANK_TABLE_FILE PRE_TRAINED PRE_TRAINED_EPOCH_SIZE"
 echo "for example: sh run_distribute_train.sh 8 500 0.2 coco /data/hccl.json /opt/ssd-300.ckpt(optional) 200(optional)"
 echo "It is better to use absolute path."
 echo "================================================================================================================="
@@ -24,7 +24,7 @@ echo "==========================================================================
 if [ $# != 5 ] && [ $# != 7 ]
 then
     echo "Usage: sh run_distribute_train.sh [DEVICE_NUM] [EPOCH_SIZE] [LR] [DATASET] \
-[MINDSPORE_HCCL_CONFIG_PATH] [PRE_TRAINED](optional) [PRE_TRAINED_EPOCH_SIZE](optional)"
+[RANK_TABLE_FILE] [PRE_TRAINED](optional) [PRE_TRAINED_EPOCH_SIZE](optional)"
     exit 1
 fi
 
@@ -41,7 +41,7 @@ LR=$3
 DATASET=$4
 PRE_TRAINED=$6
 PRE_TRAINED_EPOCH_SIZE=$7
-export MINDSPORE_HCCL_CONFIG_PATH=$5
+export RANK_TABLE_FILE=$5
 
 for((i=0;i<RANK_SIZE;i++))
 do

model_zoo/official/cv/vgg16/README.md

@@ -101,9 +101,9 @@ parameters/options:
 ### Distribute Training
 
 ```
-Usage: sh script/run_distribute_train.sh [MINDSPORE_HCCL_CONFIG_PATH] [DATA_PATH]
+Usage: sh script/run_distribute_train.sh [RANK_TABLE_FILE] [DATA_PATH]
 
 parameters/options:
-  MINDSPORE_HCCL_CONFIG_PATH   HCCL configuration file path.
+  RANK_TABLE_FILE   HCCL configuration file path.
   DATA_PATH                    the storage path of dataset.
 ```

model_zoo/official/cv/vgg16/scripts/run_distribute_train.sh

@@ -16,13 +16,13 @@
 
 if [ $# != 2 ]
 then
-    echo "Usage: sh run_distribute_train.sh [MINDSPORE_HCCL_CONFIG_PATH] [DATA_PATH]"
+    echo "Usage: sh run_distribute_train.sh [RANK_TABLE_FILE] [DATA_PATH]"
 exit 1
 fi
 
 if [ ! -f $1 ]
 then
-    echo "error: MINDSPORE_HCCL_CONFIG_PATH=$1 is not a file"
+    echo "error: RANK_TABLE_FILEH=$1 is not a file"
 exit 1
 fi
 
@@ -34,7 +34,7 @@ fi
 
 export DEVICE_NUM=8
 export RANK_SIZE=8
-export MINDSPORE_HCCL_CONFIG_PATH=$1
+export RANK_TABLE_FILE=$1
 
 for((i=0;i<RANK_SIZE;i++))
 do

model_zoo/official/cv/warpctc/README.md

@@ -77,7 +77,7 @@ Parameters for both training and evaluation can be set in config.py.
 
 ```
 # distributed training in Ascend
-Usage: bash run_distribute_train.sh [MINDSPORE_HCCL_CONFIG_PATH] [DATASET_PATH]
+Usage: bash run_distribute_train.sh [RANK_TABLE_FILE] [DATASET_PATH]
 
 # distributed training in GPU
 Usage: bash run_distribute_train_for_gpu.sh [RANK_SIZE] [DATASET_PATH]

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

@@ -15,7 +15,7 @@
 # ============================================================================
 
 if [ $# != 2 ]; then
-  echo "Usage: sh run_distribute_train.sh [MINDSPORE_HCCL_CONFIG_PATH] [DATASET_PATH]"
+  echo "Usage: sh run_distribute_train.sh [RANK_TABLE_FILE] [DATASET_PATH]"
   exit 1
 fi
 
@@ -31,7 +31,7 @@ PATH1=$(get_real_path $1)
 PATH2=$(get_real_path $2)
 
 if [ ! -f $PATH1 ]; then
-  echo "error: MINDSPORE_HCCL_CONFIG_PATH=$PATH1 is not a file"
+  echo "error: RANK_TABLE_FILE=$PATH1 is not a file"
   exit 1
 fi
 
@@ -43,7 +43,6 @@ fi
 ulimit -u unlimited
 export DEVICE_NUM=8
 export RANK_SIZE=8
-export MINDSPORE_HCCL_CONFIG_PATH=$PATH1
 export RANK_TABLE_FILE=$PATH1
 
 for ((i = 0; i < ${DEVICE_NUM}; i++)); do

model_zoo/official/cv/yolov3_darknet53/README.md

@@ -55,7 +55,7 @@ This is an example of training YOLOV3-DarkNet53 with COCO2014 dataset in MindSpo
 
 ```
 # distributed training
-sh run_distribute_train.sh [DATASET_PATH] [PRETRAINED_BACKBONE] [MINDSPORE_HCCL_CONFIG_PATH]
+sh run_distribute_train.sh [DATASET_PATH] [PRETRAINED_BACKBONE] [RANK_TABLE_FILE]
  
 # standalone training
 sh run_standalone_train.sh [DATASET_PATH] [PRETRAINED_BACKBONE]

model_zoo/official/cv/yolov3_darknet53/scripts/run_distribute_train.sh

@@ -16,7 +16,7 @@
 
 if [ $# != 3 ]
 then
-    echo "Usage: sh run_distribute_train.sh [DATASET_PATH] [PRETRAINED_BACKBONE] [MINDSPORE_HCCL_CONFIG_PATH]"
+    echo "Usage: sh run_distribute_train.sh [DATASET_PATH] [PRETRAINED_BACKBONE] [RANK_TABLE_FILE]"
 exit 1
 fi
 
@@ -30,10 +30,10 @@ get_real_path(){
 
 DATASET_PATH=$(get_real_path $1)
 PRETRAINED_BACKBONE=$(get_real_path $2)
-MINDSPORE_HCCL_CONFIG_PATH=$(get_real_path $3)
+RANK_TABLE_FILE=$(get_real_path $3)
 echo $DATASET_PATH
 echo $PRETRAINED_BACKBONE
-echo $MINDSPORE_HCCL_CONFIG_PATH
+echo $RANK_TABLE_FILE
 
 if [ ! -d $DATASET_PATH ]
 then
@@ -47,15 +47,15 @@ then
 exit 1
 fi
 
-if [ ! -f $MINDSPORE_HCCL_CONFIG_PATH ]
+if [ ! -f $RANK_TABLE_FILE ]
 then
-    echo "error: MINDSPORE_HCCL_CONFIG_PATH=$MINDSPORE_HCCL_CONFIG_PATH is not a file"
+    echo "error: RANK_TABLE_FILE=$RANK_TABLE_FILE is not a file"
 exit 1
 fi
 
 export DEVICE_NUM=8
 export RANK_SIZE=8
-export MINDSPORE_HCCL_CONFIG_PATH=$MINDSPORE_HCCL_CONFIG_PATH
+export RANK_TABLE_FILEH=$RANK_TABLE_FILE
 
 for((i=0; i<${DEVICE_NUM}; i++))
 do

model_zoo/official/cv/yolov3_resnet18/scripts/run_distribute_train.sh

@@ -16,7 +16,7 @@
 
 echo "======================================================================================================================================================="
 echo "Please run the scipt as: "
-echo "sh run_distribute_train.sh DEVICE_NUM EPOCH_SIZE MINDRECORD_DIR IMAGE_DIR ANNO_PATH MINDSPORE_HCCL_CONFIG_PATH PRE_TRAINED PRE_TRAINED_EPOCH_SIZE"
+echo "sh run_distribute_train.sh DEVICE_NUM EPOCH_SIZE MINDRECORD_DIR IMAGE_DIR ANNO_PATH RANK_TABLE_FILE PRE_TRAINED PRE_TRAINED_EPOCH_SIZE"
 echo "For example: sh run_distribute_train.sh 8 150 /data/Mindrecord_train /data /data/train.txt /data/hccl.json /opt/yolov3-150.ckpt(optional) 100(optional)"
 echo "It is better to use absolute path."
 echo "The learning rate is 0.005 as default, if you want other lr, please change the value in this script."
@@ -24,7 +24,7 @@ echo "==========================================================================
 
 if [ $# != 6 ] && [ $# != 8 ]
 then
-    echo "Usage: sh run_distribute_train.sh [DEVICE_NUM] [EPOCH_SIZE] [MINDRECORD_DIR] [IMAGE_DIR] [ANNO_PATH] [MINDSPORE_HCCL_CONFIG_PATH] \
+    echo "Usage: sh run_distribute_train.sh [DEVICE_NUM] [EPOCH_SIZE] [MINDRECORD_DIR] [IMAGE_DIR] [ANNO_PATH] [RANK_TABLE_FILE] \
 [PRE_TRAINED](optional) [PRE_TRAINED_EPOCH_SIZE](optional)"
     exit 1
 fi
@@ -42,7 +42,7 @@ python train.py --only_create_dataset=1 --mindrecord_dir=$MINDRECORD_DIR --image
 
 echo "After running the scipt, the network runs in the background. The log will be generated in LOGx/log.txt"
 
-export MINDSPORE_HCCL_CONFIG_PATH=$6
+export RANK_TABLE_FILE=$6
 export RANK_SIZE=$1
 
 BASE_PATH=$(cd "`dirname $0`" || exit; pwd)

model_zoo/official/nlp/bert/README.md

@@ -21,7 +21,7 @@ This example implements pre-training, fine-tuning and evaluation of [BERT-base](
 - Run `run_distribute_pretrain.sh` for distributed pre-training of BERT-base and BERT-NEZHA model.
 
     ``` bash   
-    sh scripts/run_distribute_pretrain.sh DEVICE_NUM EPOCH_SIZE DATA_DIR SCHEMA_DIR MINDSPORE_HCCL_CONFIG_PATH
+    sh scripts/run_distribute_pretrain.sh DATA_DIR MINDSPORE_HCCL_CONFIG_PATH
     ```  
 
 ### Fine-Tuning and Evaluation

model_zoo/official/nlp/bert/scripts/run_distribute_pretrain.sh

@@ -16,9 +16,11 @@
 
 echo "=============================================================================================================="
 echo "Please run the scipt as: "
-echo "bash run_distribute_pretrain.sh DEVICE_NUM EPOCH_SIZE DATA_DIR SCHEMA_DIR MINDSPORE_HCCL_CONFIG_PATH"
-echo "for example: bash run_distribute_pretrain.sh 8 40 /path/zh-wiki/ /path/Schema.json /path/hccl.json"
+echo "bash run_distribute_pretrain.sh DATA_DIR MINDSPORE_HCCL_CONFIG_PATH"
+echo "for example: bash run_distribute_pretrain.sh /path/dataset /path/hccl.json"
 echo "It is better to use absolute path."
+echo "For hyper parameter, please note that you should customize the scripts:
+          '{CUR_DIR}/scripts/ascend_distributed_launcher/hyper_parameter_config.ini' "
 echo "=============================================================================================================="
 
 EPOCH_SIZE=$2

model_zoo/official/nlp/mass/scripts/run.sh

@@ -44,7 +44,6 @@ set_hccl_json()
   do
     if [[ "$1" == "-j" || "$1"  == "--hccl_json" ]]
     then
-      export MINDSPORE_HCCL_CONFIG_PATH=$2
       export RANK_TABLE_FILE=$2
       break
     fi

model_zoo/official/nlp/transformer/README.md

@@ -74,7 +74,7 @@ This example implements training and evaluation of Transformer Model, which is i
 - Run `run_distribute_train.sh` for distributed training of Transformer model.
 
     ``` bash
-    sh scripts/run_distribute_train.sh DEVICE_NUM EPOCH_SIZE DATA_PATH MINDSPORE_HCCL_CONFIG_PATH
+    sh scripts/run_distribute_train.sh DEVICE_NUM EPOCH_SIZE DATA_PATH RANK_TABLE_FILE
     ```
 
 ### Evaluation

model_zoo/official/nlp/transformer/scripts/run_distribute_train.sh

@@ -16,7 +16,7 @@
 
 echo "=============================================================================================================="
 echo "Please run the scipt as: "
-echo "sh run_distribute_pretrain.sh DEVICE_NUM EPOCH_SIZE DATA_PATH MINDSPORE_HCCL_CONFIG_PATH"
+echo "sh run_distribute_pretrain.sh DEVICE_NUM EPOCH_SIZE DATA_PATH RANK_TABLE_FILE"
 echo "for example: sh run_distribute_pretrain.sh 8 52 /path/ende-l128-mindrecord00 /path/hccl.json"
 echo "It is better to use absolute path."
 echo "=============================================================================================================="
@@ -28,7 +28,6 @@ cd run_distribute_train || exit
 EPOCH_SIZE=$2
 DATA_PATH=$3
 
-export MINDSPORE_HCCL_CONFIG_PATH=$4
 export RANK_TABLE_FILE=$4
 export RANK_SIZE=$1
 export HCCL_FLAG=1

model_zoo/official/recommend/deepfm/scripts/run_distribute_train.sh

@@ -21,7 +21,7 @@ echo "After running the script, the network runs in the background, The log will
 
 export RANK_SIZE=$1
 DATA_URL=$2
-export MINDSPORE_HCCL_CONFIG_PATH=$3
+export RANK_TABLE_FILE=$3
 
 for ((i=0; i<RANK_SIZE;i++))
 do

model_zoo/official/recommend/wide_and_deep/script/run_auto_parallel_train.sh

@@ -22,7 +22,6 @@ export RANK_SIZE=$1
 export EPOCH_SIZE=$2
 export DATASET=$3
 export RANK_TABLE_FILE=$4
-export MINDSPORE_HCCL_CONFIG_PATH=$4
 
 for((i=0;i<$RANK_SIZE;i++));
 do

model_zoo/official/recommend/wide_and_deep/script/run_multinpu_train.sh

@@ -22,7 +22,6 @@ export RANK_SIZE=$1
 export EPOCH_SIZE=$2
 export DATASET=$3
 export RANK_TABLE_FILE=$4
-export MINDSPORE_HCCL_CONFIG_PATH=$4
 
 for((i=0;i<$RANK_SIZE;i++));
 do

model_zoo/official/recommend/wide_and_deep/script/run_parameter_server_train.sh

@@ -21,7 +21,6 @@ export RANK_SIZE=$1
 export EPOCH_SIZE=$2
 export DATASET=$3
 export RANK_TABLE_FILE=$4
-export MINDSPORE_HCCL_CONFIG_PATH=$4
 
 export MS_COMM_TYPE=zmq
 export MS_SCHED_NUM=1

model_zoo/official/recommend/wide_and_deep/script/start_cluster.sh

@@ -29,7 +29,7 @@ EPOCH_SIZE=$2
 VOCAB_SIZE=$3
 EMB_DIM=$4
 DATASET=$5
-MINDSPORE_HCCL_CONFIG_PATH=$6
+RANK_TABLE_FILE=$6
 ENV_SH=$7
 MODE=$8
 
@@ -39,7 +39,7 @@ do
   passwd=$(get_node_passwd ${cluster_config_path} ${node})
   echo "------------------${user}@${node}---------------------"
   if [ $MODE == "host_device_mix" ]; then
-    ssh_pass ${node} ${user} ${passwd} "mkdir -p ${execute_path}; cd ${execute_path}; bash ${SCRIPTPATH}/run_auto_parallel_train_cluster.sh ${RANK_SIZE} ${RANK_START} ${EPOCH_SIZE} ${VOCAB_SIZE} ${EMB_DIM} ${DATASET} ${ENV_SH} ${MODE} ${MINDSPORE_HCCL_CONFIG_PATH}"
+    ssh_pass ${node} ${user} ${passwd} "mkdir -p ${execute_path}; cd ${execute_path}; bash ${SCRIPTPATH}/run_auto_parallel_train_cluster.sh ${RANK_SIZE} ${RANK_START} ${EPOCH_SIZE} ${VOCAB_SIZE} ${EMB_DIM} ${DATASET} ${ENV_SH} ${MODE} ${RANK_TABLE_FILE}"
   else
     echo "[ERROR] mode is wrong"
     exit 1

model_zoo/resnet50_quant/src/launch.py

@@ -140,7 +140,7 @@ def main():
         env['RANK_ID'] = str(rank_id)
         env['DEVICE_ID'] = str(device_id)
         if args.nproc_per_node > 1:
-            env['MINDSPORE_HCCL_CONFIG_PATH'] = table_fn
+            env['RANK_TABLE_FILE'] = table_fn
             env['RANK_TABLE_FILE'] = table_fn
         if os.path.exists(device_dir):
             shutil.rmtree(device_dir)

model_zoo/resnet_thor/README.md

@@ -74,7 +74,7 @@ Parameters for both training and inference can be set in config.py.
 
 ```
 # distributed training
-Usage: sh run_distribute_train.sh [MINDSPORE_HCCL_CONFIG_PATH] [DATASET_PATH] [DEVICE_NUM]
+Usage: sh run_distribute_train.sh [RANK_TABLE_FILE] [DATASET_PATH] [DEVICE_NUM]
 ```
 
 

model_zoo/resnet_thor/scripts/run_distribute_train.sh

@@ -16,13 +16,13 @@
 
 if [ $# != 3 ]
 then
-    echo "Usage: sh run_distribute_train.sh [MINDSPORE_HCCL_CONFIG_PATH] [DATASET_PATH] [DEVICE_NUM]"
+    echo "Usage: sh run_distribute_train.sh [RANK_TABLE_FILE] [DATASET_PATH] [DEVICE_NUM]"
 exit 1
 fi
 
 if [ ! -f $1 ]
 then
-    echo "error: DMINDSPORE_HCCL_CONFIG_PATH=$1 is not a file"
+    echo "error: DRANK_TABLE_FILE=$1 is not a file"
 exit 1
 fi
 
@@ -38,7 +38,7 @@ cd $BASE_PATH/../ || exit
 ulimit -u unlimited
 export DEVICE_NUM=$3
 export RANK_SIZE=$3
-export MINDSPORE_HCCL_CONFIG_PATH=$1
+export RANK_TABLE_FILE=$1
 
 for((i=0; i<${DEVICE_NUM}; i++))
 do