code: def __init__(self, sp_model_path: str, args):
      self.args = args
      self.sp_model = spm.SentencePieceProcessor(
          model_file=sp_model_path
      )
      self.train_video_pipeline = torch.nn.Sequential(
          FunctionalModule(lambda x: x / 255.0),
          torchvision.transforms.RandomCrop(88),
          torchvision.transforms.RandomHorizontalFlip(0.5),
          FunctionalModule(lambda x: x.transpose(0, 1)),
          torchvision.transforms.Grayscale(),
          FunctionalModule(lambda x: x.transpose(0, 1)),
          AdaptiveTimeMask(10, 25),
          torchvision.transforms.Normalize(0.421, 0.165),
      )
      self.train_audio_pipeline = torch.nn.Sequential(
          AdaptiveTimeMask(10, 25),
      )
  
imports: import random
  from typing import List
  import sentencepiece
  import torch
  import torchvision
  from data_module import LRS3DataModule
  from lightning import Batch
  from lightning_av import AVBatch
label_desc: Use image node_id 1 to create a new TrainTransform object  with example: obj = TrainTransform(sp_model_path, args)