code: def main(args) -> None:
      with open(args.config_file) as config_file:
          config = json.load(config_file)
  
      runtime, memory_stats = run_layer_benchmark(
          num_repeats=args.num_repeats,
          forward_only=args.forward_only,
          layer_name=args.layer,
          batch_size=args.batch_size,
          random_seed=args.random_seed,
          gsm_mode=args.gsm_mode,
          **config[get_layer_set(args.layer)],
      )
      print(f"Runtime (seconds): {runtime}")
      print(f"Memory statistics (bytes): {memory_stats}")
  
file_path: opacus/benchmarks/benchmark_layer.py
imports: import argparse
  import json
  from typing import Callable, Dict, Tuple
  import torch
  import torch.utils.benchmark
  from benchmarks.layers import LayerFactory, LayerType
  from benchmarks.utils import get_layer_set, reset_peak_memory_stats
label_desc: Use image node_id 2 for calling a global function with example usage: main(args) without return types