class_docstr: Encode audio with a supported file encoding.
  
  Args:
      opts: The global options.
class_docstr_tok: ["Encode","audio","with","a","supported","file","encoding",".","Args",":","opts",":","The","global","options","."]
code: def __repr__(self) -> str:
      return f"{self.__class__.__name__}()"
  
file_path: ml-cvnets/data/transforms/audio_bytes.py
imports: import argparse
  import io
  import tempfile
  from typing import Dict, Union
  import numpy
  import torch
  import torchaudio
  from data.transforms import TRANSFORMATIONS_REGISTRY, BaseTransformation
label_desc: Use image node_id 3 for calling the TorchaudioSave obj's underlying member method code with example usage: obj.__repr__() and returns: self, str