def convert_namespace_to_omegaconf(args: Namespace) -> DictConfig:
    """Convert a flat argparse.Namespace to a structured DictConfig."""

    # Here we are using field values provided in args to override counterparts inside config object
    overrides, deletes = override_module_args(args)

    # configs will be in fairseq/config after installation
    config_path = os.path.join("..", "config")

    GlobalHydra.instance().clear()

    with initialize(config_path=config_path):
        try:
            composed_cfg = compose("config", overrides=overrides, strict=False)
        except:
            logger.error("Error when composing. Overrides: " + str(overrides))
            raise

        for k in deletes:
            composed_cfg[k] = None

    cfg = OmegaConf.create(
        OmegaConf.to_container(composed_cfg, resolve=True, enum_to_str=True)
    )

    # hack to be able to set Namespace in dict config. this should be removed when we update to newer
    # omegaconf version that supports object flags, or when we migrate all existing models
    from omegaconf import _utils

    with omegaconf_no_object_check():
        if cfg.task is None and getattr(args, "task", None):
            cfg.task = Namespace(**vars(args))
            from fairseq.tasks import TASK_REGISTRY

            _set_legacy_defaults(cfg.task, TASK_REGISTRY[args.task])
            cfg.task._name = args.task
        if cfg.model is None and getattr(args, "arch", None):
            cfg.model = Namespace(**vars(args))
            from fairseq.models import ARCH_MODEL_REGISTRY

            _set_legacy_defaults(cfg.model, ARCH_MODEL_REGISTRY[args.arch])
            cfg.model._name = args.arch
        if cfg.optimizer is None and getattr(args, "optimizer", None):
            cfg.optimizer = Namespace(**vars(args))
            from fairseq.optim import OPTIMIZER_REGISTRY

            _set_legacy_defaults(cfg.optimizer, OPTIMIZER_REGISTRY[args.optimizer])
            cfg.optimizer._name = args.optimizer
        if cfg.lr_scheduler is None and getattr(args, "lr_scheduler", None):
            cfg.lr_scheduler = Namespace(**vars(args))
            from fairseq.optim.lr_scheduler import LR_SCHEDULER_REGISTRY

            _set_legacy_defaults(
                cfg.lr_scheduler, LR_SCHEDULER_REGISTRY[args.lr_scheduler]
            )
            cfg.lr_scheduler._name = args.lr_scheduler
        if cfg.criterion is None and getattr(args, "criterion", None):
            cfg.criterion = Namespace(**vars(args))
            from fairseq.criterions import CRITERION_REGISTRY

            _set_legacy_defaults(cfg.criterion, CRITERION_REGISTRY[args.criterion])
            cfg.criterion._name = args.criterion

    OmegaConf.set_struct(cfg, True)
    return cfg
Convert a flat argparse.Namespace to a structured DictConfig.
structured_prompting/fairseq-version/fairseq/fairseq/dataclass/utils.py