code: def check_output_and_recompiles(
      self, fn, count=1, compiler_fn=compiler_fn
  ):
      with torch.autograd.set_multithreading_enabled(False):
          torch._dynamo.reset()
          counters["compiled_autograd"].clear()
          torch.manual_seed(123)
          expected = list(fn())
          torch.manual_seed(123)
          with compiled_autograd.enable(compiler_fn):
              actual = list(fn())
          self.assertEqual(expected, actual)
          self.assertEqual(
              counters["compiled_autograd"]["captures"], count
          )
          self.assertEqual(
              counters["compiled_autograd"]["compiles"], count
          )
  
imports: import functools
  import re
  import sys
  import unittest
  from importlib.machinery import SourceFileLoader
  from pathlib import Path
  from unittest import mock
  import torch
  import torch.nn
  from torch import _inductor
  from torch._dynamo import compiled_autograd
  from torch._dynamo.test_case import run_tests, TestCase
  from torch._dynamo.utils import counters
  from torch.testing._internal.inductor_utils import HAS_CPU, HAS_CUDA
label_desc: Use image node_id 1 for calling the TestCompiledAutograd obj's underlying member method code with example usage: obj.check_output_and_recompiles(fn, count, compiler_fn) without return types