code: def _initialize_wandb(setup, cfg):
      os.environ["WANDB__SERVICE_WAIT"] = "300"
      if is_main_process():
          import wandb
  
          config_dict = OmegaConf.to_container(
              cfg, resolve=True, throw_on_missing=True
          )
          settings = wandb.Settings(start_method="thread")
          settings.update({"git_root": cfg.original_cwd})
          run = wandb.init(
              entity=cfg.wandb.entity,
              project=cfg.wandb.project,
              settings=settings,
              name=cfg.name,
              mode="disabled" if cfg.dryrun else None,
              tags=cfg.wandb.tags if len(cfg.wandb.tags) > 0 else None,
              config=config_dict,
          )
          run.summary["GPU"] = (
              torch.cuda.get_device_name(device=setup["device"])
              if torch.cuda.device_count() > 0
              else ""
          )
          run.summary["numGPUs"] = torch.cuda.device_count()
  
imports: import socket
  import sys
  import os
  import csv
  import yaml
  import psutil
  import pynvml
  import multiprocess
  import collections
  import torch
  import torch._inductor.config
  import transformers
  import json
  import random
  import numpy
  import time
  import datetime
  import tempfile
  from .data.utils import checksum_config
  import logging
  import hydra
  from omegaconf import OmegaConf, open_dict
label_desc: Use image node_id 13 for calling a global function with example usage: _initialize_wandb(setup, cfg) without return types