code: def cpu_mem_usage():
      """
      Compute the system memory (RAM) usage for the current device (GB).
      Returns:
          usage (float): used memory (GB).
          total (float): total memory (GB).
      """
      vram = psutil.virtual_memory()
      usage = (vram.total - vram.available) / 1024**3
      total = vram.total / 1024**3
  
      return usage, total
  
imports: import json
  import logging
  import math
  import numpy
  import os
  from datetime import datetime
  import psutil
  import torch
  import torchvision.io
  from fvcore.nn.activation_count import activation_count
  from fvcore.nn.flop_count import flop_count
  from matplotlib import pyplot
  from torch import nn
  from torchvision.utils import make_grid
  import slowfast.utils.logging
  import slowfast.utils.multiprocessing
  from slowfast.datasets.utils import pack_pathway_output
  from slowfast.models.batchnorm_helper import SubBatchNorm3d
  from slowfast.utils.env import pathmgr
label_desc: Use image node_id 4 for calling a global function with example usage: cpu_mem_usage() and returns: usage,  total