Keras to tf Vgg19 input in keras_ shape

Use tf.keras An error was reported . from keras Change to tf It appears that
Conclusion ：shape Too big , The input requirements are not met

to update ：nice！ Try it later This

Traceback (most recent call last):
  File "srgan.py", line 406, in <module>
    gan = SRGAN()
  File "srgan.py", line 63, in __init__
    self.vgg = self.build_vgg()
  File "srgan.py", line 150, in build_vgg
    img_features = vgg(img)
  File "C:\python3_7\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 922, in __call__
    outputs = call_fn(cast_inputs, *args, **kwargs)
  File "C:\python3_7\lib\site-packages\tensorflow\python\keras\engine\network.py", line 719, in call
    convert_kwargs_to_constants=base_layer_utils.call_context().saving)
  File "C:\python3_7\lib\site-packages\tensorflow\python\keras\engine\network.py", line 888, in _run_internal_graph
    output_tensors = layer(computed_tensors, **kwargs)
  File "C:\python3_7\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 886, in __call__
    self.name)
  File "C:\python3_7\lib\site-packages\tensorflow\python\keras\engine\input_spec.py", line 216, in assert_input_compatibility
    ' but received input with shape ' + str(shape))
ValueError: Input 0 of layer fc1 is incompatible with the layer: expected axis -1 of input shape to have value 25088 but received input with shape [None, 32768]

Checked img Of shape（ relevant blog）, Two references shape Agreement .

Check both applications api Is there a difference ：

• tensorflow file
• keras file

tensorflow Inside input_shape[224.224.3]

keras Inside input_shape：299*299

Code testing img Of shape by 256,256,3

warning It also shows

WARNING:tensorflow:Model was constructed with shape (None, 224, 224, 3) for input Tensor("input_1:0", shape=(None, 224, 224, 3), dtype=float32), but it was called on an input with incompatible shape (None, 256, 256, 3).

Change a little shape

• New mistakes , Lower tensorflow Version is 1 Does not appear after

X_test.shape:(None, 224, 224, 3)
X_test[num].shape:(224, 224, 3)
Traceback (most recent call last):
  File "srgan.py", line 404, in <module>
    gan = SRGAN()
  File "srgan.py", line 63, in __init__
    self.vgg = self.build_vgg()
  File "srgan.py", line 148, in build_vgg
    img_features = vgg(img)
  File "C:\python3_7\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 922, in __call__
    outputs = call_fn(cast_inputs, *args, **kwargs)
  File "C:\python3_7\lib\site-packages\tensorflow\python\keras\engine\network.py", line 719, in call
    convert_kwargs_to_constants=base_layer_utils.call_context().saving)
  File "C:\python3_7\lib\site-packages\tensorflow\python\keras\engine\network.py", line 900, in _run_internal_graph
    tensor = tensor_dict[str(id(x))].pop()
IndexError: pop from empty list

• I can't get around it , use gpu Training has this problem （？）
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