code: def get_wandb_logger(trainer: Trainer) -> WandbLogger:
      """Safely get Weights&Biases logger from Trainer."""
  
      if trainer.fast_dev_run:
          raise Exception(
              "Cannot use wandb callbacks since pytorch lightning disables loggers in `fast_dev_run=true` mode."
          )
  
      if isinstance(trainer.logger, WandbLogger):
          return trainer.logger
  
      if isinstance(trainer.logger, LoggerCollection):
          for logger in trainer.logger:
              if isinstance(logger, WandbLogger):
                  return logger
  
      raise Exception(
          "You are using wandb related callback, but WandbLogger was not found for some reason..."
      )
  
imports: import subprocess
  from pathlib import Path
  from typing import List
  import matplotlib.pyplot
  import seaborn
  import torch
  import wandb
  from pytorch_lightning import Callback, Trainer
  from pytorch_lightning.loggers import LoggerCollection, WandbLogger
  from pytorch_lightning.utilities import rank_zero_only
  from sklearn import metrics
  from sklearn.metrics import f1_score, precision_score, recall_score
label_desc: Use image node_id 1 for calling a global function with example usage: get_wandb_logger(trainer) and returns: trainer, logger