def toyNet()

in swd.py [0:0]

• 16 lines of code
• 1 McCabe index (conditional complexity)

def toyNet(X):
    # Define network architecture
    with tf.variable_scope('Generator'):
        net = fully_connected(X, 15, activation_fn=tf.nn.relu)
        net = fully_connected(net, 15, activation_fn=tf.nn.relu)
        net = fully_connected(net, 15, activation_fn=tf.nn.relu)
    with tf.variable_scope('Classifier1'):
        net1 = fully_connected(net, 15, activation_fn=tf.nn.relu)
        net1 = fully_connected(net1, 15, activation_fn=tf.nn.relu)
        net1 = fully_connected(net1, 1, activation_fn=None)
        logits1 = tf.sigmoid(net1)
    with tf.variable_scope('Classifier2'):
        net2 = fully_connected(net, 15, activation_fn=tf.nn.relu)
        net2 = fully_connected(net2, 15, activation_fn=tf.nn.relu)
        net2 = fully_connected(net2, 1, activation_fn=None)
        logits2 = tf.sigmoid(net2)
    return logits1, logits2