def __init__(self, n_items_to_remember, mode):
    """Returns a layer which remembers last N elements in predict mode.

    For predict mode, the layer remembers last N elements and pads with them.
    For other modes, it pads with zeros. The layer pads/remembers elements from
    the second axis.

    Args:
      n_items_to_remember: Number of items to remember/pad with.
      mode: One of `'train'`, `'eval'`, or `'predict'`.
    """
    super().__init__(name='_RememberPad')
    self._n_items_to_remember = n_items_to_remember
    self._mode = mode
    self._portal_mask = self.monkey_patched_mask()  # pylint: disable=assignment-from-none
Returns a layer which remembers last N elements in predict mode.

    For predict mode, the layer remembers last N elements and pads with them.
    For other modes, it pads with zeros. The layer pads/remembers elements from
    the second axis.

    Args:
      n_items_to_remember: Number of items to remember/pad with.
      mode: One of `'train'`, `'eval'`, or `'predict'`.
    
trax/layers/research/sparsity.py