docstr: The bad optimization return a graph that
  is not functionally equal to the original graph;
  When config.verify_correctness=False, wrong outputs
  will return
docstr_tok: ["The","bad","optimization","return","a","graph","that","is","not","functionally","equal","to","the","original","graph",";","When","config.verify_correctness=False",",","wrong","outputs","will","return"]
code: def test_incorrect_verify_false(self):
      """
      The bad optimization return a graph that
      is not functionally equal to the original graph;
      When config.verify_correctness=False, wrong outputs
      will return
      """
      i1 = torch.randn(10)
      i2 = torch.randn(10)
  
      def incorrect_compile_fn(gm, example_inputs):
          return transform(gm).forward
  
      r1 = toy_example(i1, i2)
      opt_toy_example = torch._dynamo.optimize(incorrect_compile_fn)(
          toy_example
      )
      r2 = opt_toy_example(i1, i2)
      self.assertTrue(not same(r1, r2))
  
imports: import operator
  import torch
  import torch._dynamo
  import torch._dynamo.config
  import torch._dynamo.test_case
  from torch._dynamo.testing import same
label_desc: Use image node_id 4 for calling the TestVerifyCorrectness obj's underlying member method code with example usage: obj.test_incorrect_verify_false() and returns: transform