import tensorflow as tf

    if not flat:
        assert(len(shape) > 1)
        nh = h[0].get_shape()[-1].value
        return tf.reshape(tf.concat(axis=1, values=h), [-1, nh])
    else:
        return tf.reshape(tf.stack(values=h, axis=1), [-1])
