fix fasterrcnn x86 performance problem

model_zoo/official/cv/faster_rcnn/eval.py

@@ -41,8 +41,7 @@ context.set_context(mode=context.GRAPH_MODE, device_target="Ascend", device_id=a
 
 def FasterRcnn_eval(dataset_path, ckpt_path, ann_file):
     """FasterRcnn evaluation."""
-    ds = create_fasterrcnn_dataset(dataset_path, batch_size=config.test_batch_size,
-                                   repeat_num=1, is_training=False)
+    ds = create_fasterrcnn_dataset(dataset_path, batch_size=config.test_batch_size, is_training=False)
     net = Faster_Rcnn_Resnet50(config)
     param_dict = load_checkpoint(ckpt_path)
     load_param_into_net(net, param_dict)

model_zoo/official/cv/faster_rcnn/train.py

@@ -101,8 +101,8 @@ if __name__ == '__main__':
     loss_scale = float(config.loss_scale)
 
     # When create MindDataset, using the fitst mindrecord file, such as FasterRcnn.mindrecord0.
-    dataset = create_fasterrcnn_dataset(mindrecord_file, repeat_num=1,
-                                        batch_size=config.batch_size, device_num=device_num, rank_id=rank)
+    dataset = create_fasterrcnn_dataset(mindrecord_file, batch_size=config.batch_size,
+                                        device_num=device_num, rank_id=rank)
 
     dataset_size = dataset.get_dataset_size()
     print("Create dataset done!")