code: def test_bmm_batch2_last_dim_size_is_one(self, device):
      fudge = 3
      rtol = default_rtol[torch.float32] * fudge
      atol = default_atol[torch.float32] * fudge
  
      t1 = torch.randn(1, 32, 2, device=device)
      t2 = torch.randn(1, 2, 1, device=device)
  
      run_comp_nocomp(torch_bmm, t1, t2, rtol=rtol, atol=atol)
  
imports: import math
  import unittest
  from typing import List, Tuple, Union
  import torch
  from torch._inductor import config
  from torch.testing._internal.common_cuda import SM80OrLater
  from torch.testing._internal.common_device_type import instantiate_device_type_tests
  from torch.testing._internal.common_nn import NNTestCase
  from torch.testing._internal.common_utils import IS_WINDOWS, parametrize, run_tests, TEST_CUDA
  from torch.utils._triton import has_triton
label_desc: Use image node_id 3 for calling the TestDecomp obj's underlying member method code with example usage: obj.test_bmm_batch2_last_dim_size_is_one(device) without return types