code: def check_forward_input(self, input):
      if input.size(1) != self.input_size:
          raise RuntimeError(
              f"input has inconsistent input_size: got {input.size(1)}, expected {self.input_size}"
          )
  
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 3 for calling the QuantizedRNNCellBase obj's underlying member method code with example usage: obj.check_forward_input(input) without return types