code: def test_profiler_experimental_tree_with_record_function(self):
      with torch.profiler.profile() as p:
          with torch.autograd.profiler.record_function(
              "Top level Annotation"
          ):
              with torch.autograd.profiler.record_function(
                  "First Annotation"
              ):
                  x = torch.ones((1,), requires_grad=True)
  
              # Check that we correctly handle the case when a user
              # annotation does not call `__exit__`.
              _ = torch.autograd.profiler.record_function(
                  "Second Annotation"
              ).__enter__()
  
              y = x + 1
              with torch.autograd.profiler.record_function(
                  "Third Annotation"
              ):
                  y.backward()
  
      # NB: The `aten::zeros` before the record function annotations are due to
      # `at::cpp_custom_type_hack`. When we switch to `torch::CustomClassHolder`
      # they will disappear.
      self.assertTreesMatch(
          ProfilerTree.format(p.profiler, 12),
          """\
              Top level Annotation
                First Annotation
                  aten::ones
                    aten::empty
                    aten::fill_
                Second Annotation
                  aten::add
                    aten::to
                      aten::_to_copy
                        aten::empty_strided
                        aten::copy_
                  Third Annotation
                    aten::ones_like
                      aten::empty_like
                        aten::empty_strided
                      aten::fill_
                    autograd::engine::evaluate_function: AddBackward0
                      AddBackward0
                    autograd::engine::evaluate_function: torch::autograd::AccumulateGrad
                      torch::autograd::AccumulateGrad
                        aten::new_empty_strided
                          aten::empty_strided
                        aten::copy_""",
      )
  
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 3 for calling the TestProfilerTree obj's underlying member method code with example usage: obj.test_profiler_experimental_tree_with_record_function() without return types