import tensorflow as tf

        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)
        u = tf.tanh(u)
        c = f*c + i*u
        h = o*tf.tanh(_ln(c, gc, bc))
        xs[idx] = h

    s = tf.concat(axis=1, values=[c, h])
    
    return xs, s

