code: def test_linear(self, dtype):
      for bias in [True, False]:
          x = torch.rand(32, 28)
          m = torch.nn.Linear(
              in_features=28, out_features=64, bias=bias
          )
          _, graph = self.checkTrace(m, [x], dtype)
          self.assertGraphContainsExactly(graph, LLGA_FUSION_GROUP, 1)
          self.assertFused(graph, ["aten::linear"])
  
imports: import sys
  import torch
  import unittest
  import itertools
  import torch.nn
  from functools import wraps
  from concurrent import futures
  import torch.nn.functional
  import torch.fx.experimental.optimization
  from torch.testing._internal.jit_utils import JitTestCase
  from torch.testing._internal.common_utils import run_tests, TEST_SCIPY, IS_WINDOWS, IS_MACOS
  from torch.testing._internal.common_device_type import instantiate_device_type_tests, onlyCPU, dtypes
label_desc: Use image node_id 8 for calling the TestOp obj's underlying member method code with example usage: obj.test_linear(dtype) without return types