Add docstring.
@@ -2716,6 +2716,18 @@ def save_weights_to_hdf5_group(f, layers):
def preprocess_weights_for_loading(layer, weights,
original_keras_version=None,
original_backend=None):
+ """Converts layers weights from Keras 1 format to Keras 2.
+
+ # Arguments
+ layer: Layer instance.
+ weights: List of weights values (Numpy arrays).
+ original_keras_version: Keras version for the weights, as a string.
+ original_backend: Keras backend the weights were trained with,
+ as a string.
+
+ # Returns
+ A list of weights values (Numpy arrays).
+ """
if original_keras_version == '1':
if layer.__class__.__name__ == 'Conv1D':
shape = weights[0].shape
