class_docstr: LSTM that can handle zero-length sequences
code: def repeat_interleave(
      self, hidden_state: HiddenState, n_samples: int
  ) -> HiddenState:
      hidden, cell = hidden_state
      hidden = hidden.repeat_interleave(n_samples, 1)
      cell = cell.repeat_interleave(n_samples, 1)
      return hidden, cell
  
imports: from abc import ABC, abstractmethod
  from typing import Tuple, Type, Union
  import torch
  from torch import nn
  from torch.nn.utils import rnn
label_desc: Use image node_id 3 for calling the LSTM obj's underlying member method code with example usage: obj.repeat_interleave(hidden_state, n_samples) and returns: hidden,  cell