code: def load_data(self, data_filename, transform=True):
      if self.modality == "audio":
          audio, sample_rate = self.load_audio(data_filename)
          audio = self.audio_process(audio, sample_rate)
          return audio
      if self.modality == "video":
          video = self.load_video(data_filename)
          landmarks = self.landmarks_detector(video)
          video = self.video_process(video, landmarks)
          video = torch.tensor(video)
          return video
  
file_path: audio/examples/avsr/data_prep/data/data_module.py
imports: import torch
  import torchaudio
  import torchvision
label_desc: Use image node_id 2 for calling the AVSRDataLoader obj's underlying member method code with example usage: obj.load_data(data_filename, transform) and returns: audio, video