code: def RAM_msg():
      vram = psutil.virtual_memory()
      return "RAM Usage: {:.2f}/{:.2f} GB".format(
          (vram.total - vram.available) / 1024**3,
          vram.total / 1024**3,
      )
  
imports: import itertools
  import logging
  import psutil
  import torch
  import tqdm
  from fvcore.common.timer import Timer
  from torch.nn.parallel import DistributedDataParallel
  from detectron2.checkpoint import DetectionCheckpointer
  from detectron2.config import LazyConfig, get_cfg, instantiate
  from detectron2.data import DatasetFromList, build_detection_test_loader, build_detection_train_loader
  from detectron2.data.benchmark import DataLoaderBenchmark
  from detectron2.engine import AMPTrainer, SimpleTrainer, default_argument_parser, hooks, launch
  from detectron2.modeling import build_model
  from detectron2.solver import build_optimizer
  from detectron2.utils import comm
  from detectron2.utils.collect_env import collect_env_info
  from detectron2.utils.events import CommonMetricPrinter
  from detectron2.utils.logger import setup_logger
label_desc: Use image node_id 3 for calling a global function with example usage: RAM_msg() and returns: str