class_docstr: Stores hyperparameters for initialization, batch norm and training.
class_docstr_tok: ["Stores","hyperparameters","for","initialization",",","batch","norm","and","training","."]
code: def num_pitches(self):
      return self.max_pitch + 1 - self.min_pitch
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import itertools
  import os
  from magenta.models.coconet import lib_util
  import numpy
  import six
  import tensorflow.compat.v1
  import yaml
label_desc: Use image node_id 5 for calling the Hyperparameters obj's underlying member method code with example usage: obj.num_pitches() and returns: unknown