code: def test_group_linear_fusion_different_shapes(self):
      counters.clear()
      module = MyModule2().eval().to("cuda")
      input = [torch.rand(4, 24, device="cuda")]
      traced = torch.compile(module)
      ref = module(*input)
      res = traced(*input)
      self.compare_pred(module, traced, input)
      self.assertEqual(
          counters["inductor"]["group_fusion"],
          1,
      )
      self.assertEqual(
          counters["inductor"]["batch_fusion"],
          0,
      )
      ref.sum().backward()
      res.sum().backward()
      self.compare_parameters(module, traced)
      self.compare_gradients(module, traced)
      self.assertEqual(
          counters["inductor"]["group_fusion"],
          2,
      )
      self.assertEqual(
          counters["inductor"]["batch_fusion"],
          1,
      )
      counters.clear()
  
imports: import functools
  import unittest
  import torch
  import torch._inductor
  from torch._dynamo.test_case import run_tests, TestCase
  from torch._dynamo.utils import counters
  from torch.testing._internal.inductor_utils import HAS_CUDA
label_desc: Use image node_id 6 for calling the TestGroupBatchFusion obj's underlying member method code with example usage: obj.test_group_linear_fusion_different_shapes() without return types