code: def test_cublas_addmm_alignment(self, dtype):
      device = "cuda"
      # perturb X, A, or B alignment
      for idx in range(0, 3):
          for offset in range(1, 3):
              offsets = [0, 0, 0]
              offsets[idx] = offset
              x_offset, a_offset, b_offset = offsets
              A = torch.rand(
                  (5120 * 2560 + a_offset),
                  requires_grad=True,
                  dtype=dtype,
                  device=device,
              )
              A = A[a_offset:].reshape(5120, 2560)
              X = torch.rand(
                  (26 * 2560 + x_offset),
                  requires_grad=True,
                  dtype=dtype,
                  device=device,
              )
              X = X[x_offset:].reshape(26, 1, 2560)
              B = torch.rand(
                  (5120 + b_offset),
                  requires_grad=True,
                  dtype=dtype,
                  device=device,
              )
              B = B[b_offset:].reshape(5120)
              out = torch.nn.functional.linear(X, A, B)
              self.assertEqual(
                  out, torch.matmul(X, A.transpose(1, 0)) + B
              )
  
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 6 for calling the TestMatmulCuda obj's underlying member method code with example usage: obj.test_cublas_addmm_alignment(dtype) without return types