diff --git a/model_zoo/official/cv/vgg16/train.py b/model_zoo/official/cv/vgg16/train.py
index 57cc9da59cc..bae5d0adee9 100644
--- a/model_zoo/official/cv/vgg16/train.py
+++ b/model_zoo/official/cv/vgg16/train.py
@@ -140,7 +140,7 @@ if __name__ == '__main__':
         device_num = args.group_size
         context.reset_auto_parallel_context()
         context.set_auto_parallel_context(device_num=device_num, parallel_mode=ParallelMode.DATA_PARALLEL,
-                                          gradients_mean=True)
+                                          gradients_mean=True, all_reduce_fusion_config=[3, 10, 12, 15])
     else:
         if args.device_target == "Ascend":
             context.set_context(device_id=args.device_id)
diff --git a/model_zoo/official/recommend/deepfm/train.py b/model_zoo/official/recommend/deepfm/train.py
index 6edd0f4c6ae..a55b1289de1 100644
--- a/model_zoo/official/recommend/deepfm/train.py
+++ b/model_zoo/official/recommend/deepfm/train.py
@@ -57,7 +57,9 @@ if __name__ == '__main__':
             device_id = int(os.getenv('DEVICE_ID'))
             context.set_context(mode=context.GRAPH_MODE, device_target=args_opt.device_target, device_id=device_id)
             context.reset_auto_parallel_context()
-            context.set_auto_parallel_context(parallel_mode=ParallelMode.DATA_PARALLEL, gradients_mean=True)
+            context.set_auto_parallel_context(parallel_mode=ParallelMode.DATA_PARALLEL,
+                                              gradients_mean=True,
+                                              all_reduce_fusion_config=[9, 11])
             init()
             rank_id = int(os.environ.get('RANK_ID'))
         elif args_opt.device_target == "GPU":
diff --git a/model_zoo/official/recommend/wide_and_deep/train_and_eval_distribute.py b/model_zoo/official/recommend/wide_and_deep/train_and_eval_distribute.py
index 1f8ad32f066..cb81e5e5782 100644
--- a/model_zoo/official/recommend/wide_and_deep/train_and_eval_distribute.py
+++ b/model_zoo/official/recommend/wide_and_deep/train_and_eval_distribute.py
@@ -125,6 +125,6 @@ if __name__ == "__main__":
     init()
     context.set_context(save_graphs_path='./graphs_of_device_id_'+str(get_rank()))
     context.set_auto_parallel_context(parallel_mode=ParallelMode.DATA_PARALLEL, gradients_mean=True,
-                                      device_num=get_group_size())
+                                      device_num=get_group_size(), all_reduce_fusion_config=[6, 12])
 
     train_and_eval(wide_deep_config)