e0a1faaba8f426fec9b9adf6c348a252eae3feb2,hypergan/losses/base_loss.py,BaseLoss,create,#BaseLoss#,26

Before Change

                    return m
                l2nn_penalties.append(tf.minimum(_l(wtw), _l(wwt)))
            l2nn_penalty = self.config.l2nn_penalty * tf.add_n(l2nn_penalties)
            self.metrics["l2nn_penalty"] = self.gan.ops.squash(l2nn_penalty)
            l2nn_penalty = tf.tile(l2nn_penalty, [self.gan.batch_size(), 1])
            d_regularizers.append(l2nn_penalty)

        if config.ortho_penalty:

After Change

                    return m
                l2nn_penalties.append(tf.minimum(_l(wtw), _l(wwt)))
            l2nn_penalty = self.config.l2nn_penalty * tf.add_n(l2nn_penalties)
            self.add_metric("l2nn_penalty", self.gan.ops.squash(l2nn_penalty))
            l2nn_penalty = tf.tile(l2nn_penalty, [self.gan.batch_size(), 1])
            d_regularizers.append(l2nn_penalty)

        if config.ortho_penalty:

Instances