# This is a stack of res conns
def skip_conns(inputs, wsz_all, n):
    for i in range(n):
        with tf.variable_scope("skip-%d" % i):
            W_p = tf.get_variable("W_p", [wsz_all, wsz_all])
            b_p = tf.get_variable("B_p", [1, wsz_all], initializer=tf.constant_initializer(0.0))
            proj = tf.nn.relu(tf.matmul(inputs, W_p) + b_p, "relu")

        inputs = inputs + proj
    return inputs

# This is a stack of highway conns.
def highway_conns(inputs, wsz_all, n):
    for i in range(n):
        with tf.variable_scope("highway-%d" % i):
            W_p = tf.get_variable("W_p", [wsz_all, wsz_all])
            b_p = tf.get_variable("B_p", [1, wsz_all], initializer=tf.constant_initializer(0.0))
            proj = tf.nn.relu(tf.matmul(inputs, W_p) + b_p, "relu-proj")

            W_t = tf.get_variable("W_t", [wsz_all, wsz_all])
            b_t = tf.get_variable("B_t", [1, wsz_all], initializer=tf.constant_initializer(-2.0))
            transform = tf.nn.sigmoid(tf.matmul(inputs, W_t) + b_t, "sigmoid-transform")

        inputs = tf.multiply(transform, proj) + tf.multiply(inputs, 1 - transform)
    return inputs