class_docstr: Base object for computing metrics on generated audio samples.
class_docstr_tok: ["Base","object","for","computing","metrics","on","generated","audio","samples","."]
docstr: Update running state of metric.
docstr_tok: ["Update","running","state","of","metric","."]
code: def update_state(self):
      """Update running state of metric."""
      raise NotImplementedError()
  
imports: import dataclasses
  from absl import logging
  import ddsp
  import librosa
  import mir_eval
  import note_seq
  from note_seq import sequences_lib
  import numpy
  import tensorflow.compat.v2
label_desc: Use image node_id 3 for calling the BaseMetrics obj's underlying member method code with example usage: obj.update_state() without return types