code: def test_profiler_experimental_tree_with_stack_and_torch_function(
      self,
  ):
      x = TorchFunctionTensor(torch.ones((1,)))
      y = torch.ones((1,))
  
      # There's some lazy initialization in __torch_function__. If we don't
      # run this the first run won't match the replicates.
      torch.add(x, y)
  
      with torch.profiler.profile(with_stack=True) as p:
          torch.add(x, y)
  
      self.assertTreesMatch(
          ProfilerTree.format(p.profiler, 12),
          """\
              test_profiler_tree.py(...): test_profiler_experimental_tree_with_stack_and_torch_function
                torch/profiler/profiler.py(...): __enter__
                  ...
                <built-in method add of type object at 0xXXXXXXXXXXXX>
                  test_profiler_tree.py(...): __torch_function__
                    torch/_tensor.py(...): __torch_function__
                      <built-in function all>
                        torch/_tensor.py(...): <genexpr>
                          <built-in function issubclass>
                        torch/_tensor.py(...): <genexpr>
                      <built-in method add of type object at 0xXXXXXXXXXXXX>
                        aten::add
                      torch/_tensor.py(...): _convert
                        <built-in function isinstance>
                        <built-in function isinstance>
                        <built-in method as_subclass of Tensor object at 0xXXXXXXXXXXXX>
                          aten::alias
                        <built-in function isinstance>
                torch/profiler/profiler.py(...): __exit__
                  torch/profiler/profiler.py(...): stop
                    ...""",
      )
  
imports: import functools
  import os
  import re
  import textwrap
  import traceback
  import unittest
  import expecttest
  import torch
  from torch._C._profiler import _ExtraFields_PyCall, _ExtraFields_PyCCall
  from torch.testing._internal.common_utils import TestCase, run_tests, IS_WINDOWS, TEST_WITH_CROSSREF, IS_ARM64, skipIfTorchDynamo
  from torch.utils._pytree import tree_map
label_desc: Use image node_id 7 for calling the TestProfilerTree obj's underlying member method code with example usage: obj.test_profiler_experimental_tree_with_stack_and_torch_function() without return types