1cda66554188c4504aa94d1bcffd4cef9ee8a997,autokeras/utils.py,,copy_layer,#Any#,60

Before Change

def copy_layer(layer):
    new_layer = layer.__class__.from_config(layer.get_config())
    if new_layer is None:
        raise ValueError("There must be a Dense or Convolution Layer")
    return new_layer


def extract_config(network):

After Change

def copy_layer(layer):
    print(layer.get_config)
    new_layer = layer.__class__.from_config(layer.get_config())
    new_layer.build(layer.input_shape)
    new_layer.set_weights(layer.get_weights())
    return new_layer

Instances