code: def _create_buffer(self, name, shape):
      return Buffer(
          name,
          FixedLayout(torch.device("cuda:0"), torch.float32, shape),
      )
  
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 1 for calling the TestMaxAutotune obj's underlying member method code with example usage: obj._create_buffer(name, shape) and returns: Buffer