def after_iter(self):
        """
        `after_iter` contains two parts of logic:
            * log information
            * reset setting of resize
        """
        # log needed information
        if (self.iter + 1) % self.exp.print_interval == 0:
            # TODO check ETA logic
            left_iters = self.max_iter * self.max_epoch - (self.progress_in_iter + 1)
            eta_seconds = self.meter["iter_time"].global_avg * left_iters
            eta_str = "ETA: {}".format(datetime.timedelta(seconds=int(eta_seconds)))

            progress_str = "epoch: {}/{}, iter: {}/{}".format(
                self.epoch + 1, self.max_epoch, self.iter + 1, self.max_iter
            )
            loss_meter = self.meter.get_filtered_meter("loss")
            loss_str = ", ".join(
                ["{}: {:.3f}".format(k, v.latest) for k, v in loss_meter.items()]
            )

            time_meter = self.meter.get_filtered_meter("time")
            time_str = ", ".join(
                ["{}: {:.3f}s".format(k, v.avg) for k, v in time_meter.items()]
            )

            logger.info(
                "{}, mem: {:.0f}Mb, {}, {}, lr: {:.3e}".format(
                    progress_str,
                    gpu_mem_usage(),
                    time_str,
                    loss_str,
                    self.meter["lr"].latest,
                )
                + (", size: {:d}, {}".format(self.input_size[0], eta_str))
            )
            self.meter.clear_meters()

        # random resizing
        if self.exp.random_size is not None and (self.progress_in_iter + 1) % 10 == 0:
            self.input_size = self.exp.random_resize(
                self.train_loader, self.epoch, self.rank, self.is_distributed
            )

        `after_iter` contains two parts of logic:
            * log information
            * reset setting of resize
        
yolox/core/trainer.py