code: def __init__(
      self, transform, size=BATCH_SIZE * LOG_INTERVAL * 5
  ) -> None:
      self.data = torch.randint(
          0, 256, (size, 28, 28), dtype=torch.uint8
      )
      self.targets = torch.randint(0, 10, (size,))
      self.transform = transform
  
file_path: wandb/tests/functional_tests/t0_main/torch/t2_mp_simple.py
imports: import os
  import torch
  import torch.multiprocessing
  import torch.nn
  import torch.nn.functional
  import torch.optim
  import wandb
  from PIL import Image
  from torchvision import transforms
label_desc: Use image node_id 1 to create a new MyDatatse object from inherited base classes: torch.utils.data with example: obj = MyDatatse(transform, size)