code: def forward(self, x, h):
      combined = torch.cat((x, h), dim=1)
      h = torch.tanh(self.i2h(combined))
      out = self.h2o(h)
      return out, h
  
imports: import os
  import argparse
  import logging
  import time
  import numpy
  import numpy.random
  import matplotlib
  import matplotlib.pyplot
  import torch
  import torch.nn
  import torch.optim
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the RecognitionRNN obj's underlying member method code with example usage: obj.forward(x, h) and returns: out,  h