code: def test_max_autotune_cutlass_backend_simple_fusion_fp16_fp32acc(
      self,
  ):
      def mm(a, b):
          return (a @ b) * 3.0
  
      self._test_max_autotune_cutlass_backend_epilogue_fusion(
          mixed_precision=True, fp16=True, expected_fuse_count=1, mm=mm
      )
  
imports: import os
  import unittest
  from typing import Callable, List, Optional
  import torch
  from torch import multiprocessing
  from torch._dynamo.test_case import run_tests, TestCase
  from torch._dynamo.testing import reset_rng_state
  from torch._dynamo.utils import counters
  from torch._inductor import config
  from torch._inductor.autotune_process import BenchmarkRequest, CUDA_VISIBLE_DEVICES, TuningProcessPool
  from torch._inductor.graph import GraphLowering
  from torch._inductor.ir import Buffer, FixedLayout
  from torch._inductor.kernel.mm_plus_mm import aten_mm_plus_mm
  from torch._inductor.select_algorithm import AlgorithmSelectorCache, ChoiceCaller, TritonTemplateCaller
  from torch._inductor.utils import run_and_get_code
  from torch._inductor.virtualized import V
  from torch.fx.experimental.proxy_tensor import make_fx
  from torch.testing import FileCheck
  from torch.testing._internal.common_cuda import SM75OrLater, SM90OrLater
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, skipIfRocm
  from torch.testing._internal.inductor_utils import HAS_CPU, HAS_CUDA
label_desc: Use image node_id 11 for calling the TestMaxAutotune obj's underlying member method code with example usage: obj.test_max_autotune_cutlass_backend_simple_fusion_fp16_fp32acc() and returns: unknown