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- # copyright (c) 2024 PaddlePaddle Authors. All Rights Reserve.
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- from abc import ABC
- from typing import Any, Dict, Optional
- from ...utils.subclass_register import AutoRegisterABCMetaClass
- from ..models import create_predictor
- class BasePipeline(ABC, metaclass=AutoRegisterABCMetaClass):
- """Base Pipeline"""
- __is_base = True
- def __init__(self, predictor_kwargs) -> None:
- super().__init__()
- self._predictor_kwargs = {} if predictor_kwargs is None else predictor_kwargs
- def set_predictor():
- raise NotImplementedError(
- "The method `set_predictor` has not been implemented yet."
- )
- # alias the __call__() to predict()
- def __call__(self, *args, **kwargs):
- yield from self.predict(*args, **kwargs)
- def _create_model(self, *args, **kwargs):
- return create_predictor(*args, **kwargs, **self._predictor_kwargs)
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