code: def test_tensor_names(self):
      addr_func = torch.ops.aten.addr.default
      vec = torch.arange(1, 4, device="cuda")
      M = torch.zeros(3, 3, device="cuda")
  
      argument_handler = csan.ArgumentHandler()
      argument_handler.parse_inputs(
          addr_func._schema, (M, vec, vec), {}
      )
      out = torch.addr(M, vec, vec)
      argument_handler.parse_outputs(out)
  
      self.assertEqual(
          argument_handler.tensor_aliases,
          {
              M.data_ptr(): ["self"],
              vec.data_ptr(): ["vec1", "vec2"],
              out.data_ptr(): [],
          },
      )
      self.assertEqual({out.data_ptr()}, argument_handler.outputs)
  
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 7 for calling the TestArgumentHandler obj's underlying member method code with example usage: obj.test_tensor_names() without return types