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from ..runner import Sequential
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from ..utils import Registry, build_from_cfg
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def build_model_from_cfg(cfg, registry, default_args=None):
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"""Build a PyTorch model from config dict(s). Different from
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``build_from_cfg``, if cfg is a list, a ``nn.Sequential`` will be built.
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Args:
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cfg (dict, list[dict]): The config of modules, is is either a config
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dict or a list of config dicts. If cfg is a list, a
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the built modules will be wrapped with ``nn.Sequential``.
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registry (:obj:`Registry`): A registry the module belongs to.
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default_args (dict, optional): Default arguments to build the module.
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Defaults to None.
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Returns:
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nn.Module: A built nn module.
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"""
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if isinstance(cfg, list):
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modules = [
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build_from_cfg(cfg_, registry, default_args) for cfg_ in cfg
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]
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return Sequential(*modules)
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else:
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return build_from_cfg(cfg, registry, default_args)
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MODELS = Registry('model', build_func=build_model_from_cfg)
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