code: def _test():
      from labml import lab
      from torchvision import datasets, transforms
  
      transform = transforms.Compose(
          [
              transforms.ToTensor(),
              transforms.Normalize((0.1307,), (0.3081,)),
          ]
      )
  
      dataset = datasets.MNIST(
          str(lab.get_data_path()),
          train=True,
          download=True,
          transform=transform,
      )
      s = DatasetServer()
  
      s.add_dataset("mnist_train", dataset)
  
      s.start()
  
file_path: labml/helpers/labml_helpers/datasets/remote/server.py
imports: import pickle
  import uvicorn
  from fastapi import FastAPI, Request, Response
  from torch.utils.data import Dataset
label_desc: Use image node_id 1 for calling a global function with example usage: _test() without return types