code: def test_out(self):
      mul_out_func = torch.ops.aten.mul.out
      a = torch.arange(8, device="cuda")
      b = torch.empty(8, device="cuda")
  
      argument_handler = csan.ArgumentHandler()
      argument_handler.parse_inputs(
          mul_out_func._schema, (a, 3), {"out": b}
      )
      torch.mul(a, 3, out=b)
      argument_handler.parse_outputs(b)
  
      self.assertEqual({a.data_ptr()}, argument_handler.dataptrs_read)
      self.assertEqual(
          {b.data_ptr()}, 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 5 for calling the TestArgumentHandler obj's underlying member method code with example usage: obj.test_out() without return types