code: def test_split(self):
      split_func = torch.ops.aten.split.Tensor
      a = torch.arange(10, device="cuda").reshape(5, 2)
  
      argument_handler = csan.ArgumentHandler()
      argument_handler.parse_inputs(split_func._schema, (a, 2), {})
      out = torch.split(a, 2)
      argument_handler.parse_outputs(out)
  
      outputs = {
          out[0].data_ptr(),
          out[1].data_ptr(),
          out[2].data_ptr(),
      }
      self.assertEqual({a.data_ptr()}, argument_handler.dataptrs_read)
      self.assertEqual(
          outputs,
          argument_handler.dataptrs_written,
      )
  
imports: import sys
  import textwrap
  import traceback
  from typing import List
  import torch
  import torch.cuda._sanitizer
  from torch.cuda._sanitizer import StreamId, DataPtr, EventId
  from torch.testing._internal.common_utils import TestCase, run_tests, NoTest, TEST_CUDA
label_desc: Use image node_id 3 for calling the TestArgumentHandler obj's underlying member method code with example usage: obj.test_split() without return types