问google.protobuf.message.DecodeError:使用'tensorflow.GraphDef‘类型的错误解析消息

EN

#load model

with tf.io.gfile.GFile(args.model, "rb") as f:
    graph_def = tf.compat.v1.GraphDef()
    graph_def.ParseFromString(f.read())

# with tf.Graph().as_default() as graph:
generated_image_1, generated_image_2, generated_image_3, = tf.graph_util.import_graph_def(
        graph_def, 
        input_map={'input_image' : input_tensor, 'short_edge_1' : short_edge_1, 'short_edge_2' : short_edge_2, 'short_edge_3' : short_edge_3}, 
        return_elements=['style_subnet/conv-block/resize_conv_1/output:0', 'enhance_subnet/resize_conv_1/output:0', 'refine_subnet/resize_conv_1/output:0'],  
        producer_op_list=None
    )

Traceback (most recent call last):

  File "stylize.py", line 97, in <module>
    main()
  File "stylize.py", line 57, in main
    graph_def.ParseFromString(f.read())
google.protobuf.message.DecodeError: Error parsing message with type 'tensorflow.GraphDef'