code: def merge_configs(cfg1, cfg2):
      """Handy config merger based on dictionaries."""
      new_cfg = cfg1.copy()
      OmegaConf.set_struct(new_cfg, False)
      new_cfg.update(cfg2)
  
      return new_cfg
  
imports: from pathlib import Path
  import hydra
  import numpy
  import pytorch_lightning
  import torch
  import wandb
  from data_module import Vimeo90kSeptupletLightning
  from dvc_module import DvcModule
  from omegaconf import DictConfig, OmegaConf
  from pytorch_lightning.callbacks import LearningRateMonitor, ModelCheckpoint
  from pytorch_lightning.loggers import WandbLogger
  from neuralcompression.functional import optical_flow_to_color
  from neuralcompression.models import DVC
label_desc: Use image node_id 1 for calling a global function with example usage: merge_configs(cfg1, cfg2) and returns: new_cfg