docstr: Filter waveform from sample.
docstr_tok: ["Filter","waveform","from","sample","."]
code: def filter_waveform(self, sample: Dict) -> Dict:
      """Filter waveform from sample."""
      return {k: v for k, v in sample.items() if not k == "waveform"}
  
imports: import os
  import time
  from os.path import exists
  from os.path import sep
  from typing import Any, Dict, List, Optional, Tuple
  import tensorflow
  from .audio.adapter import AudioAdapter
  from .audio.convertor import db_uint_spectrogram_to_gain, spectrogram_to_db_uint
  from .audio.spectrogram import compute_spectrogram_tf, random_pitch_shift, random_time_stretch
  from .utils.logging import logger
  from .utils.tensor import check_tensor_shape, dataset_from_csv, set_tensor_shape, sync_apply
label_desc: Use image node_id 5 for calling the DatasetBuilder obj's underlying member method code with example usage: obj.filter_waveform(sample) and returns: unknown