Method _trigger_step

tensorpack/callbacks/summary.py:178–182

(self)

        self._queue.append(results)

    def _trigger_step(self):
        if self.global_step % self._window == 0:
            averages = np.asarray(self._queue).mean(axis=0)
            for name, avg in zip(self._display_names, averages):
                self.trainer.monitors.put_scalar(name + '/SMA', avg)