Fix wizard template module to fit new operator API

mindinsight/wizard/conf/templates/network/alexnet/train.py-tpl

@@ -60,14 +60,14 @@ if __name__ == "__main__":
             device_id = int(os.getenv('DEVICE_ID'))
             context.set_context(device_id=device_id, enable_auto_mixed_precision=True)
             context.set_auto_parallel_context(device_num=args.device_num, parallel_mode=ParallelMode.DATA_PARALLEL,
-                                              mirror_mean=True)
+                                              gradients_mean=True)
 
             init()
         # GPU target
         else:
             init("nccl")
             context.set_auto_parallel_context(device_num=get_group_size(), parallel_mode=ParallelMode.DATA_PARALLEL,
-                                              mirror_mean=True)
+                                              gradients_mean=True)
             ckpt_save_dir = cfg.save_checkpoint_path + "ckpt_" + str(get_rank()) + "/"
 
 

mindinsight/wizard/conf/templates/network/lenet/train.py-tpl

@@ -60,7 +60,7 @@ if __name__ == "__main__":
             raise ValueError('Distribute running is no supported on %s' % args.device_target)
         context.reset_auto_parallel_context()
         context.set_auto_parallel_context(device_num=args.device_num, parallel_mode=ParallelMode.DATA_PARALLEL,
-                                          mirror_mean=True)
+                                          gradients_mean=True)
 
     data_path = args.dataset_path
     do_train = True

mindinsight/wizard/conf/templates/network/resnet50/train.py-tpl

@@ -65,7 +65,7 @@ if __name__ == '__main__':
             device_id = int(os.getenv('DEVICE_ID'))
             context.set_context(device_id=device_id, enable_auto_mixed_precision=True)
             context.set_auto_parallel_context(device_num=args_opt.device_num, parallel_mode=ParallelMode.DATA_PARALLEL,
-                                              mirror_mean=True)
+                                              gradients_mean=True)
             auto_parallel_context().set_all_reduce_fusion_split_indices([107, 160])
 
             init()
@@ -73,7 +73,7 @@ if __name__ == '__main__':
         else:
             init("nccl")
             context.set_auto_parallel_context(device_num=get_group_size(), parallel_mode=ParallelMode.DATA_PARALLEL,
-                                              mirror_mean=True)
+                                              gradients_mean=True)
             ckpt_save_dir = cfg.save_checkpoint_path + "ckpt_" + str(get_rank()) + "/"
 
     # create dataset