code: def __init__(
      self, resolution, image_paths, classes=None, shard=0, num_shards=1
  ):
      super().__init__()
      self.resolution = resolution
      self.local_images = image_paths[shard:][::num_shards]
      self.local_classes = (
          None if classes is None else classes[shard:][::num_shards]
      )
  
file_path: improved-diffusion/improved_diffusion/image_datasets.py
imports: from PIL import Image
  import blobfile
  from mpi4py import MPI
  import numpy
  from torch.utils.data import DataLoader, Dataset
label_desc: Use image node_id 1 to create a new ImageDataset object from inherited base classes: Dataset with example: obj = ImageDataset(resolution, image_paths, classes, shard, num_shards)