def METHOD_NAME(cfg, optimizer):
    ITERS = cfg.EPOCHS * \
        (1280000 / (cfg.NUM_GPU * cfg.DATASET.BATCH_SIZE))
    lr_scheduler = torch.optim.lr_scheduler.LambdaLR(optimizer, lambda step: (
        cfg.LR - step / ITERS) if step <= ITERS else 0, last_epoch=-1)
    return lr_scheduler, cfg.EPOCHS