code: def main(cfg):
      dataset = instantiate(cfg.dataset)
      dataloader = torch.utils.data.DataLoader(
          dataset=dataset,
          batch_size=1,
          collate_fn=dataset._collate_fn,
          num_workers=cfg.get("dataloader_params", {}).get(
              "num_workers", 4
          ),
      )
  
      print(f"Processing {cfg.manifest_filepath}:")
      CFG_NAME2FUNC[cfg.name](dataloader)
  
imports: import torch
  from hydra.utils import instantiate
  from tqdm import tqdm
  from nemo.core.config import hydra_runner
label_desc: Use image node_id 4 for calling a global function with example usage: main(cfg) without return types