Running the train.py file gives an error. I don't know what to do. Please help. tensorflow-gpu==1.15.0, python==3.7.12

[capp-adocia]

Total size of variables: 1558304
Total bytes of variables: 6233216
WARNING:tensorflow:From C:\Users\Administrator\Desktop\AnimeGANv3-master\AnimeGANv3_hayao.py:170: The name tf.global_variables_initializer is deprecated. Please use tf.compat.v1.global_variables_initializer instead.      

WARNING:tensorflow:From C:\Users\Administrator\Desktop\AnimeGANv3-master\AnimeGANv3_hayao.py:174: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.

 [*] Reading checkpoints...
 [*] Failed to find a checkpoint
 [!] Load failed...
Traceback (most recent call last):
  File "C:\Application\Anconda\envs\tf-gpu\lib\site-packages\tensorflow_core\python\client\session.py", line 305, in __init__
    fetch, allow_tensor=True, allow_operation=True))
  File "C:\Application\Anconda\envs\tf-gpu\lib\site-packages\tensorflow_core\python\framework\ops.py", line 3607, in as_graph_element
    return self._as_graph_element_locked(obj, allow_tensor, allow_operation)
  File "C:\Application\Anconda\envs\tf-gpu\lib\site-packages\tensorflow_core\python\framework\ops.py", line 3696, in _as_graph_element_locked
    (type(obj).__name__, types_str))
TypeError: Can not convert a DatasetV1Adapter into a Tensor or Operation.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "train.py", line 89, in <module>
    train()
  File "train.py", line 83, in train
    gan.train()
  File "C:\Users\Administrator\Desktop\AnimeGANv3-master\AnimeGANv3_hayao.py", line 197, in train
    real_photo, anime_, anime_smooth_ = self.sess.run([real_photo_op, anime_img_op, anime_smooth_op])
  File "C:\Application\Anconda\envs\tf-gpu\lib\site-packages\tensorflow_core\python\client\session.py", line 956, in run
    run_metadata_ptr)
  File "C:\Application\Anconda\envs\tf-gpu\lib\site-packages\tensorflow_core\python\client\session.py", line 1165, in _run
    self._graph, fetches, feed_dict_tensor, feed_handles=feed_handles)
  File "C:\Application\Anconda\envs\tf-gpu\lib\site-packages\tensorflow_core\python\client\session.py", line 474, in __init__
    self._fetch_mapper = _FetchMapper.for_fetch(fetches)
  File "C:\Application\Anconda\envs\tf-gpu\lib\site-packages\tensorflow_core\python\client\session.py", line 266, in for_fetch
    return _ListFetchMapper(fetch)
  File "C:\Application\Anconda\envs\tf-gpu\lib\site-packages\tensorflow_core\python\client\session.py", line 375, in __init__
    self._mappers = [_FetchMapper.for_fetch(fetch) for fetch in fetches]
  File "C:\Application\Anconda\envs\tf-gpu\lib\site-packages\tensorflow_core\python\client\session.py", line 375, in <listcomp>
    self._mappers = [_FetchMapper.for_fetch(fetch) for fetch in fetches]
  File "C:\Application\Anconda\envs\tf-gpu\lib\site-packages\tensorflow_core\python\client\session.py", line 276, in for_fetch
    return _ElementFetchMapper(fetches, contraction_fn)
  File "C:\Application\Anconda\envs\tf-gpu\lib\site-packages\tensorflow_core\python\client\session.py", line 309, in __init__
    (fetch, type(fetch), str(e)))
TypeError: Fetch argument <DatasetV1Adapter shapes: (<unknown>, <unknown>), types: (tf.float32, tf.float32)> has invalid type <class 'tensorflow.python.data.ops.dataset_ops.DatasetV1Adapter'>, must be a string or Tensor. 
(Can not convert a DatasetV1Adapter into a Tensor or Operation.)