scripts/train_instance_seg.py [278:290]:
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        if varargs["summary"] is not None and (it + 1) % varargs["log_interval"] == 0:
            logging.iteration(
                varargs["summary"], "train", global_step,
                varargs["epoch"] + 1, varargs["num_epochs"],
                it + 1, len(dataloader),
                OrderedDict([
                    ("lr", scheduler.get_lr()[0]),
                    ("loss", meters["loss"]),
                    ("obj_loss", meters["obj_loss"]),
                    ("bbx_loss", meters["bbx_loss"]),
                    ("roi_cls_loss", meters["roi_cls_loss"]),
                    ("roi_bbx_loss", meters["roi_bbx_loss"]),
                    ("roi_msk_loss", meters["roi_msk_loss"]),
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scripts/train_panoptic.py [322:334]:
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        if varargs["summary"] is not None and (it + 1) % varargs["log_interval"] == 0:
            logging.iteration(
                varargs["summary"], "train", global_step,
                varargs["epoch"] + 1, varargs["num_epochs"],
                it + 1, len(dataloader),
                OrderedDict([
                    ("lr", scheduler.get_lr()[0]),
                    ("loss", meters["loss"]),
                    ("obj_loss", meters["obj_loss"]),
                    ("bbx_loss", meters["bbx_loss"]),
                    ("roi_cls_loss", meters["roi_cls_loss"]),
                    ("roi_bbx_loss", meters["roi_bbx_loss"]),
                    ("roi_msk_loss", meters["roi_msk_loss"]),
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