code: def test_alias_inputs(self):
      def fn():
          a = torch.tensor([1])
          a = a[0:1]
          b = a.squeeze()
          a[0] = 0
          if a[0] < 1e5:
              pass
          a[0] = 2
          return b
  
      ref_output = fn()
      aot_fn = torch._dynamo.optimize("aot_eager")(fn)
      actual_output = aot_fn()
      self.assertEqual(ref_output, actual_output)
  
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 17 for calling the AotAutogradFallbackTests obj's underlying member method code with example usage: obj.test_alias_inputs() and returns: b