error when running test example(test.py)

Hi asmith26, I’m trying run your pretrained model, but encountered the following error:

python test.py 
Using TensorFlow backend.
DEBUG:root:Loading data...
DEBUG:root:Loading pre-trained model...
/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py:1242: UserWarning: Update your `InputLayer` call to the Keras 2 API: `InputLayer(dtype="float32", batch_input_shape=[None, 3, ..., name="input_1")`
  return cls(**config)
/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py:1242: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(kernel_initializer="he_normal", kernel_constraint=None, activity_regularizer=None, trainable=True, padding="same", strides=[1, 1], filters=16, use_bias=False, name="convolution2d_1", bias_regularizer=None, bias_constraint=None, data_format="channels_first", kernel_regularizer={u'l2': 0...., activation="linear", kernel_size=(3, 3))`
  return cls(**config)
Traceback (most recent call last):
  File "test.py", line 52, in <module>
    model = model_from_json( open( 'WRN-{0}-{1}.json'.format(depth, k) ).read() )
  File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 339, in model_from_json
    return layer_module.deserialize(config, custom_objects=custom_objects)
  File "/usr/local/lib/python2.7/dist-packages/keras/layers/__init__.py", line 54, in deserialize
    printable_module_name='layer')
  File "/usr/local/lib/python2.7/dist-packages/keras/utils/generic_utils.py", line 139, in deserialize_keras_object
    list(custom_objects.items())))
  File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 2450, in from_config
    process_layer(layer_data)
  File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 2419, in process_layer
    custom_objects=custom_objects)
  File "/usr/local/lib/python2.7/dist-packages/keras/layers/__init__.py", line 54, in deserialize
    printable_module_name='layer')
  File "/usr/local/lib/python2.7/dist-packages/keras/utils/generic_utils.py", line 141, in deserialize_keras_object
    return cls.from_config(config['config'])
  File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 1242, in from_config
    return cls(**config)
  File "/usr/local/lib/python2.7/dist-packages/keras/legacy/interfaces.py", line 87, in wrapper
    return func(*args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/keras/layers/convolutional.py", line 458, in __init__
    **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/keras/layers/convolutional.py", line 112, in __init__
    self.kernel_regularizer = regularizers.get(kernel_regularizer)
  File "/usr/local/lib/python2.7/dist-packages/keras/regularizers.py", line 75, in get
    return deserialize(identifier)
  File "/usr/local/lib/python2.7/dist-packages/keras/regularizers.py", line 68, in deserialize
    printable_module_name='regularizer')
  File "/usr/local/lib/python2.7/dist-packages/keras/utils/generic_utils.py", line 122, in deserialize_keras_object
    raise ValueError('Improper config format: ' + str(config))
ValueError: Improper config format: {u'l2': 0.0005000000237487257, u'name': u'WeightRegularizer', u'l1': 0.0}

the errors occur at:

model = model_from_json( open( 'WRN-{0}-{1}.json'.format(depth, k) ).read() )

is this pretrained model just for theano? can i use it on tensorflow? （I failed to train my own model [run out of gpu memory]）

Thanks

[DOsinga]

For me the error was fixed with:

config = char_cnn.get_config()
if not 'config' in config:
    config = {'config': config,
              'class_name': 'Model'}

It seems that from_config expects a class name and config also for the toplevel object, just like the objects contained in the config. Could very well be related to a version difference.

[asmith26]

Following some fantastic updates by @imdeep2905 in https://github.com/asmith26/wide_resnets_keras/pull/13, I have found the code to be working and learning successfully again. Hence closing (please feel free to reopen if any more problems persist).