code: def benchmark_using_throughput_benchmark(config, module):
      print("Benchmarking via ThroughputBenchmark")
      bench = ThroughputBenchmark(module.module)
      bench.add_input(*module.tensor_inputs)
      stats = bench.benchmark(
          1, config.num_warmup_iters, config.num_iters
      )
      return stats.latency_avg_ms / NUM_LOOP_ITERS
  
file_path: pytorch/benchmarks/framework_overhead_benchmark/utils.py
imports: import time
  from collections import namedtuple
  from torch.utils import ThroughputBenchmark
label_desc: Use image node_id 4 for calling a global function with example usage: benchmark_using_throughput_benchmark(config, module) and returns: unknown