code: def RNN(*args, **kwargs):
      def forward(input, *fargs, **fkwargs):
          func = AutogradRNN(*args, **kwargs)
          return func(input, *fargs, **fkwargs)
  
      return forward
  
file_path: lightseq/lightseq/csrc/pytorch/pytorch_quantization/nn/_functions/quant_rnn.py
imports: import warnings
  from torch.autograd import NestedIOFunction
  from torch.nn import functional
  import torch
  import itertools
  from functools import partial
label_desc: Use image node_id 11 for calling a global function with example usage: RNN() and returns: forward, func