code: def permute_hidden(
      self, hx: Tensor, permutation: Optional[Tensor]
  ) -> Tensor:
      if permutation is None:
          return hx
      return apply_permutation(hx, permutation)
  
imports: import warnings
  from typing import List, Optional, Tuple
  import torch
  from torch import _VF, Tensor
  from torch.nn.utils.rnn import PackedSequence
label_desc: Use image node_id 6 for calling the QuantizedRNNBase obj's underlying member method code with example usage: obj.permute_hidden(hx, permutation) and returns: apply_permutation, hx