code: def test_pointwise_op_fusion(self):
      counters.clear()
      module = TestPoitwiseOps("cuda")
      input = [torch.randn(50, 1000, requires_grad=True, device="cuda")]
      traced = torch.compile(module)
      ref = module(*input)
      res = traced(*input)
      self.compare_pred(module, traced, input)
      self.assertEqual(counters["inductor"]["batch_fusion"], 7)
      self.assertEqual(
          counters["inductor"]["scmerge_split_removed"],
          0,
      )
      self.assertEqual(
          counters["inductor"]["scmerge_cat_removed"],
          0,
      )
      ref.sum().backward()
      res.sum().backward()
      self.compare_parameters(module, traced, rtol=1e-8, atol=1e-8)
      self.compare_gradients(module, traced, rtol=1e-8, atol=1e-8)
      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 10 for calling the TestGroupBatchFusion obj's underlying member method code with example usage: obj.test_pointwise_op_fusion() without return types