!1603 add pre_trained check point config in run_train.sh

Merge pull request !1603 from wandongdong/master

mindspore/model_zoo/mobilenetv2/Readme.md

@@ -60,14 +60,14 @@ Dataset used: [imagenet](http://www.image-net.org/)
 
 ### Usage
 
-- Ascend: sh run_train.sh Ascend [DEVICE_NUM] [SERVER_IP(x.x.x.x)] [VISIABLE_DEVICES(0,1,2,3,4,5,6,7)] [DATASET_PATH]
+- Ascend: sh run_train.sh Ascend [DEVICE_NUM] [SERVER_IP(x.x.x.x)] [VISIABLE_DEVICES(0,1,2,3,4,5,6,7)] [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
 
 ``` 
 # training example
-  Ascend: sh run_train.sh Ascend 8 192.168.0.1 0,1,2,3,4,5,6,7 ~/imagenet/train/
+  Ascend: sh run_train.sh Ascend 8 192.168.0.1 0,1,2,3,4,5,6,7 ~/imagenet/train/ mobilenet_199.ckpt
   GPU: sh run_train.sh GPU 8 0,1,2,3,4,5,6,7 ~/imagenet/train/
 ```
 

mindspore/model_zoo/mobilenetv2/scripts/run_train.sh

@@ -42,6 +42,7 @@ run_ascend()
             --server_id=$3 \
             --training_script=${BASEPATH}/../train.py \
             --dataset_path=$5 \
+            --pre_trained=$6 \
             --platform=$1 &> ../train.log &  # dataset train folder
 }
 
@@ -76,10 +77,10 @@ run_gpu()
         &> ../train.log &  # dataset train folder
 }
 
-if [ $# -gt 5 ] || [ $# -lt 4 ]
+if [ $# -gt 6 ] || [ $# -lt 4 ]
 then
     echo "Usage:\n \
-          Ascend: sh run_train.sh Ascend [DEVICE_NUM] [SERVER_IP(x.x.x.x)] [VISIABLE_DEVICES(0,1,2,3,4,5,6,7)] [DATASET_PATH]\n \
+          Ascend: sh run_train.sh Ascend [DEVICE_NUM] [SERVER_IP(x.x.x.x)] [VISIABLE_DEVICES(0,1,2,3,4,5,6,7)] [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