code: def __init__(
      self,
      dataset_path: str,
      batch_size: int,
  ):
      super().__init__()
      self.dataset_path = dataset_path
      self.batch_size = batch_size
  
file_path: audio/examples/dnn_beamformer/datamodule.py
imports: from pathlib import Path
  from typing import Tuple, Union
  import lightning.pytorch
  import torch
  import torchaudio
  from torch import Tensor
  from torch.utils.data import Dataset
  from utils import CollateFnL3DAS22
label_desc: Use image node_id 1 to create a new L3DAS22DataModule object from inherited base classes: pl with example: obj = L3DAS22DataModule(dataset_path, batch_size)