class_docstr: Music Variational Autoencoder.
class_docstr_tok: ["Music","Variational","Autoencoder","."]
docstr: Initializer for a MusicVAE model.
  
  Args:
    encoder: A BaseEncoder implementation class to use.
    decoder: A BaseDecoder implementation class to use.
docstr_tok: ["Initializer","for","a","MusicVAE","model",".","Args",":","encoder",":","A","BaseEncoder","implementation","class","to","use",".","decoder",":","A","BaseDecoder","implementation","class","to","use","."]
code: def __init__(self, encoder, decoder):
      """Initializer for a MusicVAE model.
  
      Args:
        encoder: A BaseEncoder implementation class to use.
        decoder: A BaseDecoder implementation class to use.
      """
      self._encoder = encoder
      self._decoder = decoder
  
imports: import abc
  from magenta.contrib import training
  import tensorflow.compat.v1
  import tensorflow_probability
  import tf_slim
label_desc: Use image node_id 1 to create a new MusicVAE object from inherited base classes: object with example: obj = MusicVAE(encoder, decoder)