code: def get_gpu_memory_from_gc(
      device: int = 0,
  ) -> int:  # pragma: no cover
      r"""Returns the used GPU memory in bytes, as reported by the
      :python:`Python` garbage collector.
  
      Args:
          device (int, optional): The GPU device identifier. (default: :obj:`1`)
      """
      warnings.filterwarnings(
          "ignore", ".*torch.distributed.reduce_op.*"
      )
  
      mem = 0
      for obj in gc.get_objects():
          try:
              if isinstance(obj, Tensor) and obj.get_device() == device:
                  mem += obj.numel() * obj.element_size()
          except Exception:
              pass
      return mem
  
imports: import gc
  import os
  import os.path
  import random
  import subprocess
  import sys
  import warnings
  from collections.abc import Mapping, Sequence
  from typing import Any, Tuple
  import torch
  from torch import Tensor
  from torch_geometric.data.data import BaseData
  from torch_geometric.typing import SparseTensor
label_desc: Use image node_id 5 for calling a global function with example usage: get_gpu_memory_from_gc(device) and returns: mem