code: def next_batch(self):
      for x, y in self.train_loader:
          x = 2.0 * (x - 0.5)
          yield x, y
  
imports: import torch
  from torchvision import transforms
  import torch.nn
  import pandas
  from PIL import Image
  import numpy
  import math
  import os
  import matplotlib.pyplot
  from aix360.algorithms.dipvae.dipvae_utils import VAE, DIPVAE
  from aix360.algorithms.dipvae import DIPVAEExplainer
  from aix360.algorithms.dipvae.dipvae_utils import plot_reconstructions, plot_latent_traversal
label_desc: Use image node_id 2 for calling the ISICDataset obj's underlying member method code with example usage: obj.next_batch() without return types