code: def __init__(self, latent_dim=4, obs_dim=2, nhidden=25, nbatch=1):
      super(RecognitionRNN, self).__init__()
      self.nhidden = nhidden
      self.nbatch = nbatch
      self.i2h = nn.Linear(obs_dim + nhidden, nhidden)
      self.h2o = nn.Linear(nhidden, latent_dim * 2)
  
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 1 to create a new RecognitionRNN object from inherited base classes: nn with example: obj = RecognitionRNN(latent_dim, obs_dim, nhidden, nbatch)