!3816 If not set pretrained model,we should not be allowed to run training tasks

Merge pull request !3816 from zhouyuanshen/master

model_zoo/official/cv/faster_rcnn/README.md

@@ -94,7 +94,7 @@ sh run_standalone_train.sh [PRETRAINED_MODEL]
 ```
  
 > 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.
+> As for PRETRAINED_MODEL，it should be a ResNet50 checkpoint that trained over ImageNet2012. Ready-made pretrained_models are not available now. Stay tuned.
 
 #### Result
  
@@ -125,7 +125,7 @@ sh run_eval.sh [VALIDATION_JSON_FILE] [CHECKPOINT_PATH]
 
 #### Result
  
-Inference result will be stored in the example path, whose folder name is "infer". Under this, you can find result like the followings in log.
+Inference result will be stored in the example path, whose folder name is "eval". Under this, you can find result like the followings in log.
  
 ```
  Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.360

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

@@ -14,7 +14,7 @@
 # limitations under the License.
 # ============================================================================
 
-if [ $# -lt 1 ] || [ $# -gt 2 ]
+if [ $# -ne 2 ]
 then 
     echo "Usage: sh run_train.sh [RANK_TABLE_FILE] [PRETRAINED_PATH]"
 exit 1
@@ -37,8 +37,6 @@ then
 exit 1
 fi 
 
-if [ $# == 2 ]
-then
 PATH2=$(get_real_path $2)
 echo $PATH2
 if [ ! -f $PATH2 ]
@@ -46,7 +44,6 @@ then
     echo "error: PRETRAINED_PATH=$PATH2 is not a file"
 exit 1
 fi
-fi
 
 ulimit -u unlimited
 export DEVICE_NUM=8
@@ -65,11 +62,6 @@ do
     cd ./train_parallel$i || exit
     echo "start training for rank $RANK_ID, device $DEVICE_ID"
     env > env.log
-    if [ $# == 2 ]
-    then 
     python train.py --do_train=True  --device_id=$i --rank_id=$i --run_distribute=True --device_num=$DEVICE_NUM --pre_trained=$PATH2 &> log &
-    else
-        python train.py --do_train=True  --device_id=$i --rank_id=$i --run_distribute=True --device_num=$DEVICE_NUM  &> log &
-    fi
     cd ..
 done

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

@@ -14,7 +14,7 @@
 # limitations under the License.
 # ============================================================================
 
-if [ $# -gt 1 ]
+if [ $# -ne 1 ]
 then 
     echo "Usage: sh run_standalone_train.sh [PRETRAINED_PATH]"
 exit 1
@@ -28,8 +28,6 @@ get_real_path(){
   fi
 }
 
-if [ $# == 1 ]
-then
 PATH1=$(get_real_path $1)
 echo $PATH1
 
@@ -38,7 +36,6 @@ then
     echo "error: PRETRAINED_PATH=$PATH1 is not a file"
 exit 1
 fi
-fi
 
 ulimit -u unlimited
 export DEVICE_NUM=1
@@ -57,10 +54,5 @@ cp -r ../src ./train
 cd ./train || exit
 echo "start training for device $DEVICE_ID"
 env > env.log
-if [ $# == 1 ]
-then
 python train.py --do_train=True --device_id=$DEVICE_ID --pre_trained=$PATH1 &> log &
-else
-    python train.py --do_train=True --device_id=$DEVICE_ID &> log &
-fi
 cd ..