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'Loading and Visualisation Pretrained model"
model_path= '../models/n_seconds/siamese__nseconds_3.0__filters_32__embed_64__drop_0.05__r_0.hdf5'
downsampling = 4

siamese = load_model(model_path)

********************************************error

TypeError Traceback (most recent call last)
in ()
----> 1 siamese = load_model(model_path)

/opt/conda/lib/python3.6/site-packages/keras/models.py in load_model(filepath, custom_objects, compile)
237 raise ValueError('No model found in config file.')
238 model_config = json.loads(model_config.decode('utf-8'))
--> 239 model = model_from_config(model_config, custom_objects=custom_objects)
240
241 # set weights

/opt/conda/lib/python3.6/site-packages/keras/models.py in model_from_config(config, custom_objects)
311 'Maybe you meant to use '
312 'Sequential.from_config(config)?')
--> 313 return layer_module.deserialize(config, custom_objects=custom_objects)
314
315

/opt/conda/lib/python3.6/site-packages/keras/layers/init.py in deserialize(config, custom_objects)
52 module_objects=globs,
53 custom_objects=custom_objects,
---> 54 printable_module_name='layer')

/opt/conda/lib/python3.6/site-packages/keras/utils/generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)
137 return cls.from_config(config['config'],
138 custom_objects=dict(list(_GLOBAL_CUSTOM_OBJECTS.items()) +
--> 139 list(custom_objects.items())))
140 with CustomObjectScope(custom_objects):
141 return cls.from_config(config['config'])

/opt/conda/lib/python3.6/site-packages/keras/engine/topology.py in from_config(cls, config, custom_objects)
2485 # First, we create all layers and enqueue nodes to be processed
2486 for layer_data in config['layers']:
-> 2487 process_layer(layer_data)
2488 # Then we process nodes in order of layer depth.
2489 # Nodes that cannot yet be processed (if the inbound node

/opt/conda/lib/python3.6/site-packages/keras/engine/topology.py in process_layer(layer_data)
2471
2472 layer = deserialize_layer(layer_data,
-> 2473 custom_objects=custom_objects)
2474 created_layers[layer_name] = layer
2475

/opt/conda/lib/python3.6/site-packages/keras/layers/init.py in deserialize(config, custom_objects)
52 module_objects=globs,
53 custom_objects=custom_objects,
---> 54 printable_module_name='layer')

/opt/conda/lib/python3.6/site-packages/keras/utils/generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)
137 return cls.from_config(config['config'],
138 custom_objects=dict(list(_GLOBAL_CUSTOM_OBJECTS.items()) +
--> 139 list(custom_objects.items())))
140 with CustomObjectScope(custom_objects):
141 return cls.from_config(config['config'])

/opt/conda/lib/python3.6/site-packages/keras/models.py in from_config(cls, config, custom_objects)
1211 model = cls()
1212 for conf in config:
-> 1213 layer = layer_module.deserialize(conf, custom_objects=custom_objects)
1214 model.add(layer)
1215 return model

/opt/conda/lib/python3.6/site-packages/keras/layers/init.py in deserialize(config, custom_objects)
52 module_objects=globs,
53 custom_objects=custom_objects,
---> 54 printable_module_name='layer')

/opt/conda/lib/python3.6/site-packages/keras/utils/generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)
139 list(custom_objects.items())))
140 with CustomObjectScope(custom_objects):
--> 141 return cls.from_config(config['config'])
142 else:
143 # Then cls may be a function returning a class.

/opt/conda/lib/python3.6/site-packages/keras/engine/topology.py in from_config(cls, config)
1250 A layer instance.
1251 """
-> 1252 return cls(**config)
1253
1254 def count_params(self):

/opt/conda/lib/python3.6/site-packages/keras/legacy/interfaces.py in wrapper(*args, **kwargs)
85 warnings.warn('Update your ' + object_name + 86 ' call to the Keras 2 API: ' + signature, stacklevel=2)
---> 87 return func(*args, **kwargs)
88 wrapper._original_function = func
89 return wrapper

/opt/conda/lib/python3.6/site-packages/keras/layers/convolutional.py in init(self, filters, kernel_size, strides, padding, dilation_rate, activation, use_bias, kernel_initializer, bias_initializer, kernel_regularizer, bias_regularizer, activity_regularizer, kernel_constraint, bias_constraint, **kwargs)
331 kernel_constraint=kernel_constraint,
332 bias_constraint=bias_constraint,
--> 333 **kwargs)
334 self.input_spec = InputSpec(ndim=3)
335

TypeError: init() got multiple values for keyword argument 'data_format'