code: def __init__(self, crop_size, num_channels, num_classes, num_samples):
      self.crop_size = crop_size
      self.num_channels = num_channels
      self.num_classes = num_classes
      self.num_samples = num_samples
  
file_path: ClassyVision/test/dataloader_async_gpu_wrapper_test.py
imports: import unittest
  import numpy
  import torch
  import torchvision.transforms
  from classy_vision.dataset.dataloader_async_gpu_wrapper import DataloaderAsyncGPUWrapper
  from PIL import Image
  from torch.utils.data import DataLoader, Dataset
label_desc: Use image node_id 1 to create a new ZeroImageDataset object from inherited base classes: Dataset with example: obj = ZeroImageDataset(crop_size, num_channels, num_classes, num_samples)