def init_conv_weight()

in utils.py [0:0]

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

def init_conv_weight(
        weights,
        scope,
        k,
        c_in,
        c_out,
        spec_norm=True,
        zero=False,
        scale=1.0,
        classes=1):

    if spec_norm:
        spec_norm = FLAGS.spec_norm

    conv_weights = {}
    with tf.variable_scope(scope):
        if zero:
            conv_weights['c'] = get_weight(
                'c', [k, k, c_in, c_out], spec_norm=spec_norm, zero=True)
        else:
            conv_weights['c'] = get_weight(
                'c', [k, k, c_in, c_out], spec_norm=spec_norm)

        conv_weights['b'] = tf.get_variable(
            shape=[c_out], name='b', initializer=tf.initializers.zeros())

        if classes != 1:
            conv_weights['g'] = tf.get_variable(
                shape=[
                    classes,
                    c_out],
                name='g',
                initializer=tf.initializers.ones())
            conv_weights['gb'] = tf.get_variable(
                shape=[
                    classes,
                    c_in],
                name='gb',
                initializer=tf.initializers.zeros())
        else:
            conv_weights['g'] = tf.get_variable(
                shape=[c_out], name='g', initializer=tf.initializers.ones())
            conv_weights['gb'] = tf.get_variable(
                shape=[c_in], name='gb', initializer=tf.initializers.zeros())

        conv_weights['cb'] = tf.get_variable(
            shape=[c_in], name='cb', initializer=tf.initializers.zeros())

    weights[scope] = conv_weights