b65560304dc61e63fa45e5a26fee930661c6e998,ssd/engine/trainer.py,,do_train,#Any#Any#Any#Any#Any#Any#Any#Any#Any#,48

Before Change

        end = time.time()
        if iteration % args.log_step == 0:
            eta_seconds = int((trained_time / iteration) * (max_iter - iteration))
            log_str = [
                "iter: {:06d}, lr: {:.5f}, cost: {:.2f}s, eta: {}".format(iteration,
                                                                          optimizer.param_groups[0]["lr"],
                                                                          time.time() - tic, str(datetime.timedelta(seconds=eta_seconds))),
                "total_loss: {:.3f}".format(losses_reduced.item())
            ]
            for loss_name, loss_item in loss_dict_reduced.items():
                log_str.append("{}: {:.3f}".format(loss_name, loss_item.item()))
            log_str = ", ".join(log_str)
            // TODO: use MetricLogger to log
            logger.info(log_str)
            if summary_writer:
                global_step = iteration

After Change

        meters.update(time=batch_time)
        if iteration % args.log_step == 0:
            eta_seconds = meters.time.global_avg * (max_iter - iteration)
            eta_string = str(datetime.timedelta(seconds=int(eta_seconds)))
            logger.info(
                meters.delimiter.join([
                    "iter: {iter:06d}",
                    "lr: {lr:.5f}",

Instances