code: def RNNReLUCell(input, hidden, w_ih, w_hh, b_ih=None, b_hh=None):
      hy = F.relu(
          F.linear(input, w_ih, b_ih) + F.linear(hidden, w_hh, b_hh)
      )
      return hy
  
file_path: lightseq/lightseq/training/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 1 for calling a global function with example usage: RNNReLUCell(input, hidden, w_ih, w_hh, b_ih, b_hh) and returns: hy