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.)
