code: def test_cat(self):
      cat_func = torch.ops.aten.cat.default
      a = torch.ones(2, 4, 5, device="cuda")
      b = torch.zeros(2, 1, 5, device="cuda")
      c = torch.rand(2, 7, 5, device="cuda")
  
      argument_handler = csan.ArgumentHandler()
      argument_handler.parse_inputs(
          cat_func._schema, ([a, b, c], 1), {}
      )
      d = torch.cat((a, b, c), dim=1)
      argument_handler.parse_outputs(d)
  
      self.assertEqual(
          {a.data_ptr(), b.data_ptr(), c.data_ptr()},
          argument_handler.dataptrs_read,
      )
      self.assertEqual(
          {d.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 2 for calling the TestArgumentHandler obj's underlying member method code with example usage: obj.test_cat() without return types