code: def __getitem__(self, index):
      input_data = transforms.ToTensor()(
          Image.fromarray(
              np.zeros(
                  (self.crop_size, self.crop_size, self.num_channels),
                  dtype=np.uint8,
              )
          )
      )
      target = np.random.randint(self.num_classes)
      return {"input": input_data, "target": target, "id": index}
  
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 3 for calling the ZeroImageDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: dict