code: def get_config():
      logger.auto_set_dir()
      dataset_train = get_data()
  
      return TrainConfig(
          dataflow=dataset_train,
          callbacks=[ModelSaver(), OnlineTensorboardExport()],
          model=Model(),
          steps_per_epoch=len(dataset_train),
          max_epoch=50,
      )
  
imports: import argparse
  import multiprocessing
  import numpy
  import cv2
  import tensorflow
  from scipy.signal import convolve2d
  from tensorpack import *
  from tensorpack.dataflow import dataset
  from tensorpack.utils import logger
  from tensorpack.utils.gpu import change_gpu
  from tensorpack.utils.argtools import shape2d, shape4d
  from tensorpack.utils.viz import *
label_desc: Use image node_id 3 for calling a global function with example usage: get_config() and returns: TrainConfig