32f016f01de1222e1e9bc4e40bfa92db15ddf66d,cleverhans/utils_tf.py,,clip_eta,#Any#Any#Any#,385

Before Change

        elif ord == 2:
            // avoid_zero_div must go inside sqrt to avoid a divide by zero
            // in the gradient through this operation
            norm = tf.sqrt(tf.maximum(avoid_zero_div,
                                      tf.reduce_sum(tf.square(eta),
                                                    reduc_ind,
                                                    keep_dims=True)))
        // We must *clip* to within the norm ball, not *normalize* onto the
        // surface of the ball
        factor = tf.minimum(1., eps / norm)
        eta = eta * factor

After Change

            // avoid_zero_div must go inside sqrt to avoid a divide by zero
            // in the gradient through this operation
            if LooseVersion(tf.__version__) < LooseVersion("1.8.0"):
                eta_sum = tf.reduce_sum(tf.square(eta),
                                        reduc_ind, keep_dims=True)
            else:
                eta_sum = tf.reduce_sum(tf.square(eta),
                                        reduc_ind, keepdims=True)
            norm = tf.sqrt(tf.maximum(avoid_zero_div,eta_sum))

        // We must *clip* to within the norm ball, not *normalize* onto the
        // surface of the ball
        factor = tf.minimum(1., eps / norm)

Instances