code: def test_scatter_multiple_tensors():
      ab = (torch.zeros(2, 1), torch.zeros(4, 2))
  
      a, b = scatter(*ab, chunks=2)
  
      assert next(iter(a)).size() == (1, 1)
      assert next(iter(b)).size() == (1, 1)
      assert list(a)[1].size() == (2, 2)
      assert list(b)[1].size() == (2, 2)
  
file_path: pytorch/test/distributed/pipeline/sync/test_microbatch.py
imports: import pytest
  import torch
  import torch.cuda
  from torch.distributed.pipeline.sync.microbatch import Batch, check, gather, scatter
  from torch.testing._internal.common_utils import run_tests
label_desc: Use image node_id 10 for calling a global function with example usage: test_scatter_multiple_tensors() without return types