import tensorflow as tf

            with tf.variable_scope("num_{}".format(k)):
                output = tf.layers.conv1d(inputs, embed_size // 2, k, padding="SAME")
                outputs = tf.concat((outputs, output), -1)
        outputs = tf.nn.relu(tf.layers.batch_normalization(outputs, training=is_training))
    return outputs

