fix bug when load dict for optimizer in resume training

ppcls/utils/save_load.py

@@ -105,7 +105,7 @@ def init_model(config, net, optimizer=None, loss: paddle.nn.Layer=None):
         net.set_state_dict(para_dict)
         loss.set_state_dict(para_dict)
         for i in range(len(optimizer)):
-            optimizer[i].set_state_dict(opti_dict)
+            optimizer[i].set_state_dict(opti_dict[i])
         logger.info("Finish load checkpoints from {}".format(checkpoints))
         return metric_dict
 
@@ -117,7 +117,7 @@ def init_model(config, net, optimizer=None, loss: paddle.nn.Layer=None):
         else:  # common load
             load_dygraph_pretrain(net, path=pretrained_model)
             logger.info("Finish load pretrained model from {}".format(
-                    pretrained_model))
+                pretrained_model))
 
 
 def save_model(net,