load_model not working - NameError: global name 'batch_size' is not defined????

I had to restart my ipython interpreter so I saved the model with model.save() but loading isnt working

batch_size is of course set. 50. The model is a deeper deconv vae from the examples, nothing fancy. vae_loss is the same with the example.

from keras.models import load_model
vae = load_model('Image_VAECNN04-256_100.h5', custom_objects={'vae_loss':vae_loss})

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-38-ea67b750c140> in <module>()
      1 from keras.models import load_model
----> 2 vae = load_model('Image_VAECNN04-256_100.h5', custom_objects={'vae_loss':vae_loss})

/opt/conda/lib/python2.7/site-packages/keras/models.pyc in load_model(filepath, custom_objects)
    126         raise ValueError('No model found in config file.')
    127     model_config = json.loads(model_config.decode('utf-8'))
--> 128     model = model_from_config(model_config, custom_objects=custom_objects)
    129 
    130     # set weights

/opt/conda/lib/python2.7/site-packages/keras/models.pyc in model_from_config(config, custom_objects)
    175         raise Exception('`model_fom_config` expects a dictionary, not a list. '
    176                         'Maybe you meant to use `Sequential.from_config(config)`?')
--> 177     return layer_from_config(config, custom_objects=custom_objects)
    178 
    179 

/opt/conda/lib/python2.7/site-packages/keras/utils/layer_utils.pyc in layer_from_config(config, custom_objects)
     34         layer_class = get_from_module(class_name, globals(), 'layer',
     35                                       instantiate=False)
---> 36     return layer_class.from_config(config['config'])
     37 
     38 

/opt/conda/lib/python2.7/site-packages/keras/engine/topology.pyc in from_config(cls, config, custom_objects)
   2373 
   2374         for layer_data in config['layers']:
-> 2375             process_layer(layer_data)
   2376 
   2377         name = config.get('name')

/opt/conda/lib/python2.7/site-packages/keras/engine/topology.pyc in process_layer(layer_data)
   2370                         layer(input_tensors[0])
   2371                     else:
-> 2372                         layer(input_tensors)
   2373 
   2374         for layer_data in config['layers']:

/opt/conda/lib/python2.7/site-packages/keras/engine/topology.pyc in __call__(self, x, mask)
    512         if inbound_layers:
    513             # this will call layer.build() if necessary
--> 514             self.add_inbound_node(inbound_layers, node_indices, tensor_indices)
    515             input_added = True
    516 

/opt/conda/lib/python2.7/site-packages/keras/engine/topology.pyc in add_inbound_node(self, inbound_layers, node_indices, tensor_indices)
    570         # creating the node automatically updates self.inbound_nodes
    571         # as well as outbound_nodes on inbound layers.
--> 572         Node.create_node(self, inbound_layers, node_indices, tensor_indices)
    573 
    574     def get_output_shape_for(self, input_shape):

/opt/conda/lib/python2.7/site-packages/keras/engine/topology.pyc in create_node(cls, outbound_layer, inbound_layers, node_indices, tensor_indices)
    152             output_shapes = to_list(outbound_layer.get_output_shape_for(input_shapes[0]))
    153         else:
--> 154             output_tensors = to_list(outbound_layer.call(input_tensors, mask=input_masks))
    155             output_masks = to_list(outbound_layer.compute_mask(input_tensors, input_masks))
    156             output_shapes = to_list(outbound_layer.get_output_shape_for(input_shapes))

/opt/conda/lib/python2.7/site-packages/keras/layers/core.pyc in call(self, x, mask)
    554         if 'mask' in arg_spec.args:
    555             arguments['mask'] = mask
--> 556         return self.function(x, **arguments)
    557 
    558     def get_config(self):

/opt/conda/lib/python2.7/site-packages/keras/layers/core.pyc in sampling(args)

NameError: global name 'batch_size' is not defined

[GeorgesAlkhouri]

Hey,

I have the same issue. As workaround I created the Model and called model.compile. After that I loaded the weights manually with model.load_weights(...)

[MarcelRobitaille]

I opened a new issue with a reproducible minimal code snippet that I believe is the same issue: #15759