code: def test_match_with_mutation(self):
      counter = 0
      test_pass = PatternMatcherPass(
          prevent_match_across_mutations=True
      )
  
      @register_graph_pattern(
          CallFunction(
              torch.add,
              KeywordArg("x"),
              CallFunction(torch.sin, KeywordArg("x")),
          ),
          pass_dict=test_pass,
      )
      def _test(match, x):
          nonlocal counter
          counter += 1
  
      def fn0(x, y):
          a = torch.sin(x)
          b = torch.add(x, a)
          return b
  
      def fn1(x, y):
          a = torch.sin(x)
          x.copy_(y)
          b = torch.add(x, a)
          return b
  
      def fn2(x, y):
          a = torch.sin(x)
          with torch.no_grad():
              b = torch.add(x, a)
          return b
  
      def fn3(x, y):
          a = torch.sin(x)
          with torch.autocast("cuda"):
              b = torch.add(x, a)
          return b
  
      def fn4(x, y):
          a = torch.sin(x)
          torch.manual_seed(1234)
          b = torch.add(x, a)
          return b
  
      def fn5(x, y):
          a = torch.sin(x)
          torch.add(y, 1, out=x)
          b = torch.add(x, a)
          return b
  
      args = [
          torch.randn(5, 5, device="cuda"),
          torch.randn(5, 5, device="cuda"),
      ]
  
      with unittest.mock.patch(
          "torch._inductor.fx_passes.pre_grad.pattern_matcher_passes",
          [test_pass],
      ):
          for fn in (fn0, fn1, fn2, fn3, fn4, fn5):
              counter = 0
              expected = fn(*copy.deepcopy(args))
              actual = torch.compile(fn)(*copy.deepcopy(args))
              # should not match
              self.assertEqual(counter, int(fn is fn0))
              torch.testing.assert_close(actual, expected)
  
imports: import copy
  import unittest
  import torch
  import torch._dynamo.config
  import torch._inductor.config
  from torch._dynamo.test_case import run_tests, TestCase
  from torch._dynamo.utils import count_calls, counters
  from torch._higher_order_ops.out_dtype import out_dtype
  from torch._inductor.fx_passes import joint_graph
  from torch._inductor.fx_passes.serialized_patterns.central_index import get_serialized_pattern
  from torch._inductor.pattern_matcher import _TargetExpr, Arg, CallFunction, gen_pattern, KeywordArg, Match, PatternExpr, PatternMatcherPass, PatternPrettyPrinter, register_graph_pattern, stable_topological_sort
  from torch._inductor.utils import run_and_get_code
  from torch._inductor.virtualized import V
  from torch.testing import FileCheck
  from torch.testing._internal.common_cuda import SM80OrLater
  from torch.testing._internal.common_utils import IS_LINUX, skipIfRocm
  from torch.testing._internal.inductor_utils import HAS_CUDA
label_desc: Use image node_id 27 for calling the TestPatternMatcher obj's underlying member method code with example usage: obj.test_match_with_mutation() and returns: b, b, b, b, b, b