import tensorflow as tf

        wh = tf.get_variable("wh", [nh, nh*4], initializer=ortho_init(init_scale))
        gh = tf.get_variable("gh", [nh*4], initializer=tf.constant_initializer(1.0))
        bh = tf.get_variable("bh", [nh*4], initializer=tf.constant_initializer(0.0))

        b = tf.get_variable("b", [nh*4], initializer=tf.constant_initializer(0.0))

        gc = tf.get_variable("gc", [nh], initializer=tf.constant_initializer(1.0))
        bc = tf.get_variable("bc", [nh], initializer=tf.constant_initializer(0.0))

    c, h = tf.split(axis=1, num_or_size_splits=2, value=s)
    for idx, (x, m) in enumerate(zip(xs, ms)):
        c = c*(1-m)
        h = h*(1-m)
        z = _ln(tf.matmul(x, wx), gx, bx) + _ln(tf.matmul(h, wh), gh, bh) + b
        i, f, o, u = tf.split(axis=1, num_or_size_splits=4, value=z)
        i = tf.nn.sigmoid(i)
        f = tf.nn.sigmoid(f)
        o = tf.nn.sigmoid(o)
