code: def test_fuse_fx():
      model = DummyModel()
      model.eval()
      torch_fx_fused_model = orig_fuse_fx(model)
      optimum_fused_model = fuse_fx(
          model, input_names=["input_ids"], check=False
      )
      assert torch_fx_fused_model.code == optimum_fused_model.code
  
file_path: optimum/tests/fx/test_quantization.py
imports: import unittest
  import torch
  from torch.ao.quantization.quantize_fx import fuse_fx
  from torch.ao.quantization.quantize_fx import prepare_fx
  from torch.ao.quantization.quantize_fx import prepare_qat_fx
  from transformers import PretrainedConfig
  from optimum.fx.utils import are_fx_features_available
label_desc: Use image node_id 1 for calling a global function with example usage: test_fuse_fx() without return types