scripts/train_detection.py [479:487]:
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                          optimizer=optimizer.state_dict(),
                          **meters_out_dict)

        if (epoch + 1) % config["general"].getint("val_interval") == 0:
            log_info("Validating epoch %d", epoch + 1)
            score = validate(model, val_dataloader, config["optimizer"].getstruct("loss_weights"),
                             device=device, summary=summary, global_step=global_step,
                             epoch=epoch, num_epochs=total_epochs,
                             log_interval=config["general"].getint("log_interval"),
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scripts/train_panoptic.py [600:608]:
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                          optimizer=optimizer.state_dict(),
                          **meters_out_dict)

        if (epoch + 1) % config["general"].getint("val_interval") == 0:
            log_info("Validating epoch %d", epoch + 1)
            score = validate(model, val_dataloader, config["optimizer"].getstruct("loss_weights"),
                             device=device, summary=summary, global_step=global_step,
                             epoch=epoch, num_epochs=total_epochs,
                             log_interval=config["general"].getint("log_interval"),
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