recognitionModel.py 文件源码

def accuracy(self):
        a = tf.equal(self.hard,self.targetPlaceholder)
        for decoder in self.decoders:
            if decoder.token != STOP:
                vector = decoder.accuracyVector()
                if vector != True:
                    a = tf.logical_and(a,
                                       tf.logical_or(vector, tf.not_equal(self.hard,decoder.token)))
        return tf.reduce_mean(tf.cast(a, tf.float32))