efc4b020f1458ed46aab5fb9894d0783de0f66c6,musegan/components.py,Nowbar,_build_discriminator,#Nowbar#,95

Before Change

            gp = tf.gradients(D_hat, X_hat)[0]
            gp = tf.sqrt(tf.reduce_sum(tf.square(gp), axis=1))
            gp = tf.reduce_mean(tf.square(gp - 1.0) * config.lamda)

            self.d_loss += gp
            self.d_vars = tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, scope=scope.name)

After Change

            gp = tf.gradients(D_hat, X_hat)[0]
            gp = tf.sqrt(tf.reduce_sum(tf.square(gp), axis=1))
            gp = tf.reduce_mean(tf.square(gp - 1.0))

            self.d_loss += gp * config.lamda
            self.d_vars = tf.get_collection(tf.GraphKeys.TRAINABLE_VARIABLES, scope=scope.name)

class NowbarHybrid(Nowbar):
    def __init__(self, config):

Instances