code: def test_negative_testing(self):
      def fn(x, y):
          return torch.sin(x).add_(y)
  
      y = torch.randn(4)
      x = torch.randn(4)
      aot_fn = torch._dynamo.optimize("aot_eager")(fn)
      aot_fn(x, y)
  
imports: import re
  from textwrap import dedent
  from unittest.mock import patch
  import torch
  import torch._dynamo
  import torch._dynamo.test_case
  import torch.fx.traceback
  import torch.utils._pytree
  from torch._dynamo.testing import CompileCounter, expectedFailureDynamic, rand_strided
  from torch._functorch.aot_autograd import _aot_export_function, create_functional_call
  from torch.profiler import profile
  from torch.testing._internal.common_utils import compare_equal_outs_and_grads
label_desc: Use image node_id 5 for calling the AotAutogradFallbackTests obj's underlying member method code with example usage: obj.test_negative_testing() and returns: torch