【运行出错】ValueError: Layer #13 (named "attn_layer_2" in t...2 weights, but the saved weights have 2 elements.

[mokeeqian]

使用您的仓库代码，NYC-OD，HAIKOU-OD，均报错如下：

Exception:..... ValueError: Layer #13 (named "attn_layer_2" in t...2 weights, but the saved weights have 2 elements.
Call ended by exception
Elapsed time: 00:00:00.044523
Traceback (most recent call last):
  File "/root/autodl-tmp/project/HSTN-main/HAIKOU-OD/HSTN_HK_train_test.py", line 107, in <module>
    train()
  File "/root/miniconda3/lib/python3.8/site-packages/pysnooper/tracer.py", line 310, in simple_wrapper
    return function(*args, **kwargs)
  File "/root/autodl-tmp/project/HSTN-main/HAIKOU-OD/HSTN_HK_train_test.py", line 87, in train
    model = create_model()
  File "/root/autodl-tmp/project/HSTN-main/HAIKOU-OD/HSTN_HK_train_test.py", line 77, in create_model
    model.load_weights(model_file)
  File "/root/miniconda3/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py", line 2326, in load_weights
    hdf5_format.load_weights_from_hdf5_group(f, self.layers)
  File "/root/miniconda3/lib/python3.8/site-packages/tensorflow/python/keras/saving/hdf5_format.py", line 705, in load_weights_from_hdf5_group
    raise ValueError('Layer #' + str(k) + ' (named "' + layer.name +
ValueError: Layer #13 (named "attn_layer_2" in the current model) was found to correspond to layer dense_10 in the save file. However the new layer attn_layer_2 expects 12 weights, but the saved weights have 2 elements.

Process finished with exit code 1