class_docstr: OnlineProcessor module definition.
  
  Args:
      feature_extractor: Feature extractor module.
      normalization_module: Normalization module.
      decoding_window: Size of the decoding window (in ms).
      encoder_sub_factor: Encoder subsampling factor.
      frontend_conf: Frontend configuration.
      device: Device to pin module tensors on.
      audio_sampling_rate: Input sampling rate.
docstr: Reset cache parameters.
  
  Args:
      None
  
  Returns:
      None
docstr_tok: ["Reset","cache","parameters",".","Args",":","None","Returns",":","None"]
code: def reset_cache(self) -> None:
      """Reset cache parameters.
  
      Args:
          None
  
      Returns:
          None
  
      """
      self.samples = None
      self.samples_length = torch.zeros(
          [1], dtype=torch.long, device=self.device
      )
  
      self.feats = None
  
imports: from typing import Dict, Tuple
  import torch
label_desc: Use image node_id 2 for calling the OnlineAudioProcessor obj's underlying member method code with example usage: obj.reset_cache() without return types