class_docstr: Configuration object that helps manage the graph.
code: def __init__(self, train_path=None):
      self.num_iters = 200000
      self.learning_rate_schedule = {
          0: 2e-4,
          90000: 4e-4 / 3,
          120000: 6e-5,
          150000: 4e-5,
          180000: 2e-5,
          210000: 6e-6,
          240000: 2e-6,
      }
      self.ae_hop_length = 512
      self.ae_bottleneck_width = 16
      self.train_path = train_path
  
file_path: magenta/magenta/models/nsynth/wavenet/h512_bo16.py
imports: from magenta.models.nsynth import reader
  from magenta.models.nsynth import utils
  from magenta.models.nsynth.wavenet import masked
  import tensorflow.compat.v1
label_desc: Use image node_id 1 to create a new Config object from inherited base classes: object with example: obj = Config(train_path)