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luukunn
55 lines
2.0 KiB
Python
55 lines
2.0 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Registry for multimodal encoding strategy classes."""
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from typing import Dict, Type
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class EncodingRegistry:
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"""Maps model_type strings to encoding strategy classes.
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Encoding classes register themselves via the ``register`` decorator
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at import time. ``MultiModalProcessor`` queries this registry by
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*model_type* instead of using string-based dynamic imports.
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"""
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_registry: Dict[str, Type] = {}
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@classmethod
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def register(cls, *model_types: str):
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"""Decorator that registers an encoding class for one or more model types."""
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def decorator(enc_cls):
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for mt in model_types:
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if mt in cls._registry:
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raise ValueError(
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f"Encoding for '{mt}' already registered "
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f"as {cls._registry[mt].__name__}, "
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f"cannot re-register as {enc_cls.__name__}"
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)
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cls._registry[mt] = enc_cls
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return enc_cls
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return decorator
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@classmethod
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def get(cls, model_type: str) -> Type:
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"""Look up the encoding class for a given *model_type*."""
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if model_type not in cls._registry:
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raise ValueError(
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f"No encoding registered for '{model_type}'. " f"Available: {sorted(cls._registry.keys())}"
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)
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return cls._registry[model_type]
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