synthesizer.py 文件源码

def load(self, checkpoint_path, model_name='tacotron'):
    print('Constructing model: %s' % model_name)
    inputs = tf.placeholder(tf.int32, [1, None], 'inputs')
    input_lengths = tf.placeholder(tf.int32, [1], 'input_lengths')
    with tf.variable_scope('model') as scope:
      self.model = create_model(model_name, hparams)
      self.model.initialize(inputs, input_lengths)
      self.wav_output = audio.inv_spectrogram_tensorflow(self.model.linear_outputs[0])

    print('Loading checkpoint: %s' % checkpoint_path)
    self.session = tf.Session()
    self.session.run(tf.global_variables_initializer())
    saver = tf.train.Saver()
    saver.restore(self.session, checkpoint_path)