class_docstr: Profiler that captures memory traces for allocation and deallocation of memory for
  tensors.
class_docstr_tok: ["Profiler","that","captures","memory","traces","for","allocation","and","deallocation","of","memory","for","tensors","."]
code: def __init__(self, main_profiler: "_Profiler") -> None:
      self.main_profiler = main_profiler
      self.enabled = False
  
imports: import logging
  import os
  import queue
  import socket
  import weakref
  from dataclasses import dataclass
  from pathlib import Path
  from typing import Any, List, Optional, Sequence, Tuple
  import torch.cuda.memory
  import torch.cuda.nvtx
  import torch.nn
  import torch.profiler
  import torch.utils.hooks
label_desc: Use image node_id 1 to create a new MemSnapshotsProfiler object  with example: obj = MemSnapshotsProfiler(main_profiler)