modify network RCAN scripts

research/cv/RCAN/script/run_ascend_standalone.sh

@@ -48,7 +48,7 @@ env >env.log
 nohup python train.py \
       --batch_size 16 \
       --lr 1e-4 \
-      --scale 2+3+4 \
+      --scale 2 \
       --task_id 0 \
       --dir_data $PATH1 \
       --epochs 500 \

research/cv/RCAN/src/rcan_model.py

@@ -185,7 +185,7 @@ class RCAN(nn.Cell):
         n_feats = args.n_feats
         kernel_size = 3
         reduction = args.reduction
-        scale = args.scale[0]
+        scale = args.scale
         self.dytpe = mstype.float16
 
         # RGB mean for DIV2K