def METHOD_NAME(self):
    """Reset the cached recurrent dropout masks if any.
    This is important for the RNN layer to invoke this in it call() method
    so that the cached mask is cleared before calling the cell.call(). The
    mask should be cached across the timestep within the same batch, but
    shouldn't be cached between batches. Otherwise it will introduce
    unreasonable bias against certain index of data within the batch.
    """
    self._recurrent_dropout_mask_cache.clear()