code: def __init__(self, root, train=True, transform=None, download=False):
      self.original = MNIST(root, train=train, download=download)
      self.transform = transform
  
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 1 to create a new CVAEMNIST object from inherited base classes: Dataset with example: obj = CVAEMNIST(root, train, transform, download)