tensorflow　retrain.pyでのエラー

前提・実現したいこと

kerasから変換して使うのではなく、もう１回tensorflowで画像分類の学習をしようしたときのエラー

python
1TypeError: Expected DataType for argument 'dtype' not <tf.Tensor 'module_apply_default/hub_output/feature_vector/SpatialSqueeze:0' shape=(None, 2048) dtype=float32>.

発生している問題・エラーメッセージ

python
1Traceback (most recent call last):
2  File "C:\Users\xxx\Desktop\python\tinn\retrain.py", line 1331, in <module>
3    tf.compat.v1.app.run(main=main, argv=[sys.argv[0]] + unparsed)
4  File "C:\Users\xxx\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\platform\app.py", line 40, in run
5    _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
6  File "C:\Users\xxx\AppData\Local\Programs\Python\Python38\lib\site-packages\absl\app.py", line 299, in run
7    _run_main(main, args)
8  File "C:\Users\xxx\AppData\Local\Programs\Python\Python38\lib\site-packages\absl\app.py", line 250, in _run_main
9    sys.exit(main(argv))
10  File "C:\Users\xxx\Desktop\python\tinn\retrain.py", line 1022, in main
11    ground_truth_input, final_tensor) = add_final_retrain_ops(
12  File "C:\Users\xxx\Desktop\python\tinn\retrain.py", line 746, in add_final_retrain_ops
13    bottleneck_input = tf.compat.v1.placeholder(bottleneck_tensor, shape=[batch_size, bottleneck_tensor_size], name='BottleneckInputPlaceholder')
14  File "C:\Users\xxx\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\ops\array_ops.py", line 3026, in placeholder
15    return gen_array_ops.placeholder(dtype=dtype, shape=shape, name=name)
16  File "C:\Users\xxx\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 6671, in placeholder
17    dtype = _execute.make_type(dtype, "dtype")
18  File "C:\Users\xxx\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\eager\execute.py", line 195, in make_type
19    raise TypeError("Expected DataType for argument '%s' not %s." %
20TypeError: Expected DataType for argument 'dtype' not <tf.Tensor 'module_apply_default/hub_output/feature_vector/SpatialSqueeze:0' shape=(None, 2048) dtype=float32>.