code: def setup_logger():
      ch = logging.StreamHandler()
      formatter = logging.Formatter(
          "\n%(asctime)s [%(levelname)s] %(name)s: %(message)s"
      )
      ch.setFormatter(formatter)
      logger = logging.getLogger("pytorchvideo")
      logger.setLevel(logging.DEBUG)
      logger.addHandler(ch)
  
imports: import argparse
  import itertools
  import logging
  import os
  import pytorch_lightning
  import pytorchvideo.data
  import pytorchvideo.models.resnet
  import torch
  import torch.nn.functional
  from pytorch_lightning.callbacks import LearningRateMonitor
  from pytorchvideo.transforms import ApplyTransformToKey, Normalize, RandomShortSideScale, RemoveKey, ShortSideScale, UniformTemporalSubsample
  from slurm import copy_and_run_with_config
  from torch.utils.data import DistributedSampler, RandomSampler
  from torchaudio.transforms import MelSpectrogram, Resample
  from torchvision.transforms import CenterCrop, Compose, Lambda, RandomCrop, RandomHorizontalFlip
label_desc: Use image node_id 3 for calling a global function with example usage: setup_logger() without return types