code: def __init__(
      self,
      *,
      librispeech_path,
      train_transform,
      val_transform,
      test_transform,
      max_tokens=700,
      batch_size=2,
      train_num_buckets=50,
      train_shuffle=True,
      num_workers=10,
  ):
      super().__init__()
      self.librispeech_path = librispeech_path
      self.train_dataset_lengths = None
      self.val_dataset_lengths = None
      self.train_transform = train_transform
      self.val_transform = val_transform
      self.test_transform = test_transform
      self.max_tokens = max_tokens
      self.batch_size = batch_size
      self.train_num_buckets = train_num_buckets
      self.train_shuffle = train_shuffle
      self.num_workers = num_workers
  
imports: import os
  import random
  import torch
  import torchaudio
  from pytorch_lightning import LightningDataModule
label_desc: Use image node_id 1 to create a new LibriSpeechDataModule object from inherited base classes: LightningDataModule with example: obj = LibriSpeechDataModule()