code: def test_remove_pointless_clones(self):
      @torch.compile(fullgraph=True)
      def fn(a, b):
          return torch.mm(a, b).clone()
  
      result, (code) = run_and_get_code(
          fn, torch.randn(8, 8), torch.randn(8, 8)
      )
      # clone would create a buf1
      self.assertIn("return (buf0, )", code[0])
      self.assertNotIn("async_compile.cpp", code[0])
  
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 28 for calling the TestPatternMatcher obj's underlying member method code with example usage: obj.test_remove_pointless_clones() and returns: torch