def linear_zeros()

in tfops.py [0:0]

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

def linear_zeros(name, x, width, logscale_factor=3):
    with tf.variable_scope(name):
        n_in = int(x.get_shape()[1])
        w = tf.get_variable("W", [n_in, width], tf.float32,
                            initializer=tf.zeros_initializer())
        x = tf.matmul(x, w)
        x += tf.get_variable("b", [1, width],
                             initializer=tf.zeros_initializer())
        x *= tf.exp(tf.get_variable("logs",
                                    [1, width], initializer=tf.zeros_initializer()) * logscale_factor)
        return x