code: def print_and_reset_max_gpu_memory() -> None:
      max_gpu_mem_alloc = int(torch.cuda.max_memory_allocated() // 1e6)
      print(f"Max GPU Memory Allocated: {max_gpu_mem_alloc} MB")
      torch.cuda.reset_peak_memory_stats()
      torch.cuda.empty_cache()
  
file_path: ParlAI/projects/roscoe/utils.py
imports: import numpy
  import os
  import pathlib
  from nltk.tokenize import sent_tokenize
  from typing import Callable, Dict, Iterable, List, Tuple
  import torch
label_desc: Use image node_id 2 for calling a global function with example usage: print_and_reset_max_gpu_memory() without return types