(self, config, name)
Constructs an EncoderPipeline.

    Args:
      config: A PerformanceRnnConfig that specifies the encoder/decoder and
          note density conditioning behavior.
      name: A unique pipeline name.
Constructs an EncoderPipeline.
Constructs an EncoderPipeline .
def __init__(self, config, name):
    """Constructs an EncoderPipeline.

    Args:
      config: A PerformanceRnnConfig that specifies the encoder/decoder and
          note density conditioning behavior.
      name: A unique pipeline name.
    """
    super(EncoderPipeline, self).__init__(
        input_type=BasePerformance,
        output_type=tf.train.SequenceExample,
        name=name)
    self._encoder_decoder = config.encoder_decoder
    self._control_signals = config.control_signals
    self._optional_conditioning = config.optional_conditioning
def __init__ ( self , config , name ) : super ( EncoderPipeline , self ) . __init__ ( input_type = BasePerformance , output_type = tf . train . SequenceExample , name = name ) self . _encoder_decoder = config . encoder_decoder self . _control_signals = config . control_signals self . _optional_conditioning = config . optional_conditioning