def accuracy(mod_y, ref_y, summary=True, name="accuracy"):
        """Accuracy computation op.

        Parameters
        ----------

        mod_y : tf.Tensor
            Model output tensor.

        ref_y : tf.Tensor
            Reference input tensor.

        summary : bool, optional (default = True)
            Whether to save tf summary for the op.

        Returns
        -------

        tf.Tensor : accuracy op. tensor
        """
        with tf.name_scope(name):
            mod_pred = tf.argmax(mod_y, 1)
            correct_pred = tf.equal(mod_pred, tf.argmax(ref_y, 1))
            accuracy = tf.reduce_mean(tf.cast(correct_pred, tf.float32))
            if summary:
                tf.summary.scalar('accuracy', accuracy)
            return accuracy
Accuracy computation op.

        Parameters
        ----------

        mod_y : tf.Tensor
            Model output tensor.

        ref_y : tf.Tensor
            Reference input tensor.

        summary : bool, optional (default = True)
            Whether to save tf summary for the op.

        Returns
        -------

        tf.Tensor : accuracy op. tensor
        
yadlt/core/layers.py