code: def observe_garbage(observer):
      enabled = True
  
      def disable():
          # when GC runs during exit, things like `sys` will already be unloaded
          # so we have to disable the callback to avoid hitting errors.
          nonlocal enabled
          enabled = False
  
      atexit.register(disable)
  
      def gc_callback(phase, info):
          nonlocal enabled
          if not enabled:
              return
          if phase == "start":
              gc.set_debug(gc.DEBUG_SAVEALL)
          elif phase == "stop":
              orig_trace = sys.getprofile()
              self_return = [False]
  
              def do_collect(*args, **kwargs):
                  nonlocal enabled
                  if not self_return[0]:
                      self_return[0] = True
                  else:
                      sys.setprofile(orig_trace)
                      enabled = False
                      try:
                          # things in gc.garbage have survived a collection
                          # so to free them we have to collect a generation greater than them
                          # but that might _also_ free other stuff and we don't want to miss
                          # that stuff. So we have to now force gc at the highest level here,
                          # report all of what we found, _then_ we can free it up.
                          if info["generation"] != 2:
                              gc.collect()
                          observer(gc.garbage)
                          gc.garbage.clear()
                          # we have to re-run GC to clean up the cycles
                          # we saved from before.
                          gc.set_debug(0)
                          before = torch.cuda.memory_allocated()
                          gc.collect()
                          after = torch.cuda.memory_allocated()
                          if before != after:
                              logger.warning(
                                  "CUDA Memory changed during GC, %d bytes freed.",
                                  before - after,
                              )
                      finally:
                          enabled = True
                  if orig_trace is not None:
                      return orig_trace(*args, **kwargs)
  
              sys.setprofile(do_collect)
  
      gc.callbacks.append(gc_callback)
  
      # provide a way to disarm the callback
      def remove():
          gc.callbacks.remove(gc_callback)
  
      return remove
  
imports: import gc
  import sys
  from typing import Any, Dict, List, NamedTuple, Optional, Tuple
  import types
  import weakref
  import json
  from tempfile import NamedTemporaryFile
  import torch
  from torch.cuda._memory_viz import _frames_fmt, _block_extra
  import atexit
  import logging
label_desc: Use image node_id 1 for calling a global function with example usage: observe_garbage(observer) and returns: remove, orig_trace