2e3c9f7e8a9de40dda50c48367b557d0d3258dc0,tflearn/helpers/trainer.py,TrainOp,_train,#TrainOp#Any#Any#Any#Any#,739

Before Change

                update_val_op = [tf.assign(self.val_loss_T, self.val_loss),
                                 tf.assign(self.val_acc_T, self.val_acc)]
            else:
                update_val_op = tf.assign(self.val_loss_T, self.val_loss)
            self.session.run(update_val_op)

            // Run summary operation.
            test_summ_str = self.session.run(self.val_summary_op)

After Change

            if show_metric:
                update_val_op.append(tf.assign(self.val_acc_T, self.val_acc))
            if self.validation_monitors:
                for vmt, vm in zip(self.validation_monitors_T, self.validation_monitor_values):
                    update_val_op.append(tf.assign(vmt, vm))
            self.session.run(update_val_op)

            // Run summary operation.
            test_summ_str = self.session.run(self.val_summary_op)

Instances