code: def test_typecheck(self, dtype):
      x = torch.rand(32, 28, dtype=dtype)
      m = torch.nn.Linear(
          in_features=28, out_features=64, bias=True, dtype=dtype
      )
      traced, graph = self.checkTrace(m, [x], dtype)
      self.assertGraphContainsExactly(graph, LLGA_FUSION_GROUP, 1)
      self.assertFused(graph, ["aten::linear"])
      # change the shape of the input, we should enter fallback graph
      x = torch.rand(5, 28, dtype=dtype)
      self.assertEqual(m(x), traced(x))
  
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 17 for calling the TestOp obj's underlying member method code with example usage: obj.test_typecheck(dtype) without return types