Keras load_model: ValueError: Invalid input_shape argument (None, 224, 224, 3): model has 0 tensor inputs.

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-68-2b1880c7abd4> in <module>()
----> 1 model = keras.models.load_model('gender_color_combined.h5', custom_objects={'Scale':Scale()})

9 frames
/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py in load_wrapper(*args, **kwargs)
    456                 os.remove(tmp_filepath)
    457             return res
--> 458         return load_function(*args, **kwargs)
    459 
    460     return load_wrapper

/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py in load_model(filepath, custom_objects, compile)
    548     if H5Dict.is_supported_type(filepath):
    549         with H5Dict(filepath, mode='r') as h5dict:
--> 550             model = _deserialize_model(h5dict, custom_objects, compile)
    551     elif hasattr(filepath, 'write') and callable(filepath.write):
    552         def load_function(h5file):

/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py in _deserialize_model(h5dict, custom_objects, compile)
    241         raise ValueError('No model found in config.')
    242     model_config = json.loads(model_config.decode('utf-8'))
--> 243     model = model_from_config(model_config, custom_objects=custom_objects)
    244     model_weights_group = h5dict['model_weights']
    245 

/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py in model_from_config(config, custom_objects)
    591                         '`Sequential.from_config(config)`?')
    592     from ..layers import deserialize
--> 593     return deserialize(config, custom_objects=custom_objects)
    594 
    595 

/usr/local/lib/python3.6/dist-packages/keras/layers/__init__.py in deserialize(config, custom_objects)
    166                                     module_objects=globs,
    167                                     custom_objects=custom_objects,
--> 168                                     printable_module_name='layer')

/usr/local/lib/python3.6/dist-packages/keras/utils/generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)
    145                     config['config'],
    146                     custom_objects=dict(list(_GLOBAL_CUSTOM_OBJECTS.items()) +
--> 147                                         list(custom_objects.items())))
    148             with CustomObjectScope(custom_objects):
    149                 return cls.from_config(config['config'])

/usr/local/lib/python3.6/dist-packages/keras/engine/network.py in from_config(cls, config, custom_objects)
   1060                         node_data = node_data_list[node_index]
   1061                         try:
-> 1062                             process_node(layer, node_data)
   1063 
   1064                         # If the node does not have all inbound layers

/usr/local/lib/python3.6/dist-packages/keras/engine/network.py in process_node(layer, node_data)
   1010             # and building the layer if needed.
   1011             if input_tensors:
-> 1012                 layer(unpack_singleton(input_tensors), **kwargs)
   1013 
   1014         def process_layer(layer_data):

/usr/local/lib/python3.6/dist-packages/keras/engine/base_layer.py in __call__(self, inputs, **kwargs)
    466             if all([s is not None
    467                     for s in to_list(input_shape)]):
--> 468                 output_shape = self.compute_output_shape(input_shape)
    469             else:
    470                 if isinstance(input_shape, list):

/usr/local/lib/python3.6/dist-packages/keras/engine/network.py in compute_output_shape(self, input_shape)
    597             raise ValueError('Invalid input_shape argument ' +
    598                              str(input_shape) + ': model has ' +
--> 599                              str(len(self._input_layers)) + ' tensor inputs.')
    600 
    601         cache_key = ', '.join([str(x) for x in input_shapes])

ValueError: Invalid input_shape argument (None, 224, 224, 3): model has 0 tensor inputs.