code: def test_forward(self, modeldef, benchmark):
      forward_output = benchmark(
          cuda_sync, modeldef.forward, *modeldef.inputs
      )
  
file_path: pytorch/benchmarks/fastrnns/test_bench.py
imports: import pytest
  import torch
  from .fuser import set_fuser
  from .runner import get_nn_runners
label_desc: Use image node_id 1 for calling the TestBenchNetwork obj's underlying member method code with example usage: obj.test_forward(modeldef, benchmark) without return types