code: def setUp(self):
      super(self.__class__, self).setUp()
      torch.backends.cuda.matmul.allow_tf32 = False
  
imports: import unittest
  from itertools import product
  from functools import partial
  from typing import Optional
  import torch
  from torch.quantization._quantized_conversions import pack_int4_to_int8, quantized_weight_reorder_for_mixed_dtypes_linear_cutlass
  from torch.testing import make_tensor
  from torch.testing._internal.common_cuda import SM53OrLater, _get_torch_cuda_version
  from torch.testing._internal.common_device_type import dtypes, instantiate_device_type_tests, onlyCUDA, tol, toleranceOverride
  from torch.testing._internal.common_utils import IS_ARM64, IS_JETSON, IS_WINDOWS, parametrize, run_tests, skipIfRocmVersionLessThan, TEST_WITH_ROCM, skipIfRocm, TestCase
label_desc: Use image node_id 1 for calling the TestMatmulCuda obj's underlying member method code with example usage: obj.setUp() without return types