_current_module.__path__ = [_module_dir] + _current_module.__path__

_current_module.nn.rnn_cell = _KerasLazyLoader(
    globals(),
    submodule="__internal__.legacy.rnn_cell",
    name="rnn_cell",
    mode="v1")
if _tf_uses_legacy_keras:
  _module_dir = _module_util.get_parent_dir_for_name(
      "tf_keras.api._v1.keras.__internal__.legacy.rnn_cell")
else:
  _module_dir = _module_util.get_parent_dir_for_name(

    changes.
*   `RNNCell` objects now subclass `tf.layers.Layer`. The strictness described
    in the TensorFlow 1.1 release is gone: The first time an RNNCell is used, it
    caches its scope. All future uses of the RNNCell will reuse variables from
    that same scope. This is a breaking change from the behavior of RNNCells in