def linear()

in tfops.py [0:0]

• 14 lines of code
• 4 McCabe index (conditional complexity)

def linear(name, x, width, do_weightnorm=True, do_actnorm=True, initializer=None, scale=1.):
    initializer = initializer or default_initializer()
    with tf.variable_scope(name):
        n_in = int(x.get_shape()[1])
        w = tf.get_variable("W", [n_in, width],
                            tf.float32, initializer=initializer)
        if do_weightnorm:
            w = tf.nn.l2_normalize(w, [0])
        x = tf.matmul(x, w)
        x += tf.get_variable("b", [1, width],
                             initializer=tf.zeros_initializer())
        if do_actnorm:
            x = actnorm("actnorm", x, scale)
        return x