code: def train_dataloader(self) -> torchdata.datapipes.iter.IterDataPipe:
      loader = create_loader(
          self.train_datapipeline, **self.train_config.loader
      )
      return loader
  
file_path: generative-models/sgm/data/dataset.py
imports: from typing import Optional
  import torchdata.datapipes.iter
  import webdataset
  from omegaconf import DictConfig
  from pytorch_lightning import LightningDataModule
label_desc: Use image node_id 3 for calling the StableDataModuleFromConfig obj's underlying member method code with example usage: obj.train_dataloader() and returns: loader