code: def test_torch_multi_use_iterator(ray_start_regular_shared):
      """Tests that the iterator outputted by `iter_torch_batches` can be used
      multiple times."""
      ds = ray.data.range(5)
      it = ds.iterator().iter_torch_batches()
  
      for _ in range(2):
          for batch in it:
              assert isinstance(batch["id"], torch.Tensor)
              assert batch["id"].tolist() == list(range(5))
  
file_path: ray/python/ray/data/tests/test_iterator.py
imports: from typing import Dict
  from unittest.mock import MagicMock, patch
  import numpy
  import pytest
  import tensorflow
  import torch
  import ray
label_desc: Use image node_id 9 for calling a global function with example usage: test_torch_multi_use_iterator(ray_start_regular_shared) without return types