20aa03a2285ab4a18a6c63d6d42ca472ff699567,seq2seq/tf/train.py,Trainer,__init__,#Trainer#Any#Any#Any#,7

Before Change

        else:
            self.optimizer = tf.train.GradientDescentOptimizer(eta)

        self.train_op = self.optimizer.minimize(self.loss, global_step=self.global_step)

        self.loss_summary = tf.scalar_summary("loss", self.loss)
        self.summary_op = tf.merge_all_summaries()

After Change

        else:
            self.optimizer = tf.train.GradientDescentOptimizer(eta)

        gvs = self.optimizer.compute_gradients(self.loss)
        capped_gvs = [(tf.clip_by_value(grad, -1., 1.), var) for grad, var in gvs]
        self.train_op = self.optimizer.apply_gradients(capped_gvs, global_step=self.global_step)

        self.loss_summary = tf.summary.scalar("loss", self.loss)
        self.summary_op = tf.summary.merge_all()

Instances