code: def __getitem__(self, item):
      image, digit = self.original[item]
      sample = {"original": image, "digit": digit}
      if self.transform:
          sample = self.transform(sample)
  
      return sample
  
file_path: pyro/examples/cvae/mnist.py
imports: import numpy
  import torch
  from torch.utils.data import DataLoader, Dataset
  from torchvision.transforms import Compose, functional
  from pyro.contrib.examples.util import MNIST
label_desc: Use image node_id 3 for calling the CVAEMNIST obj's underlying member method code with example usage: obj.__getitem__(item) and returns: sample