code: def findFusionGroups(self, graph):
      result = []
      for n in graph.nodes():
          if n.kind() == LLGA_FUSION_GROUP:
              result.append(n.g("Subgraph"))
              continue
          for block in n.blocks():
              result += self.findFusionGroups(block)
      return result
  
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 5 for calling the JitLlgaTestCase obj's underlying member method code with example usage: obj.findFusionGroups(graph) and returns: result