mirror of
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61 lines
1.9 KiB
Python
61 lines
1.9 KiB
Python
"""
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# 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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"""
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from abc import ABC, abstractmethod
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import paddle
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from paddle import nn
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from fastdeploy.config import LLMConfig, LoadConfig, ModelConfig
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# TODO(gongshaotian): implement real interface to replace this
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def get_model(llm_config: LLMConfig) -> nn.Layer:
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""" load or download model """
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model_path = llm_config.load_config.model_path
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model = paddle.load(model_path, return_numpy=True)
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return model
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class BaseModelLoader(ABC):
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""" Base class for model loaders. """
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def __init__(self, load_config: LoadConfig):
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self.load_config = load_config
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@abstractmethod
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def download_model(self, load_config: ModelConfig) -> None:
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""" Download a model so that it can be immediately loaded."""
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raise NotImplementedError
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@abstractmethod
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def load_model(self, llm_config: LLMConfig) -> nn.Layer:
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""" Load a model with the given configurations."""
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raise NotImplementedError
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class DefaultModelLoader(BaseModelLoader):
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""" ModelLoader that can load registered models """
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def __init__(self, load_config: LoadConfig):
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super().__init__(load_config)
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def download_model(self, model_config: ModelConfig) -> None:
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pass
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def load_model(self, llm_config: LLMConfig) -> nn.Layer:
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pass
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