mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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66 lines
2.1 KiB
Python
66 lines
2.1 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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from paddle import nn
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from fastdeploy.config import LLMConfig
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from fastdeploy.model_runner.output import ModelRunnerOutput
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from fastdeploy.utils import get_logger
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logger = get_logger("model_runner_base", "model_runner_base.log")
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class ModelRunnerBase(ABC):
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"""
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Engine -> (WIP)Executor -> Worker -> ModelRunner -> Model
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ModelRunner interface abstracts the model execution logic that
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contain input preparation, token generation, and tokenprocessing.
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"""
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def __init__(self, llm_config: LLMConfig, device: str) -> None:
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self.llm_conig = llm_config
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self.model_config = llm_config.model_config
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self.lora_config = llm_config.lora_config
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self.load_config = llm_config.load_config
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self.device_config = llm_config.device_config
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self.speculative_config = llm_config.speculative_config
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self.kv_cache_config = self.llm_config.kv_cache_config
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self.parallel_config = self.llm_config.parallel_config
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# ... config
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self.device = device
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@abstractmethod
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def load_model(self) -> None:
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""" """
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raise NotImplementedError
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@abstractmethod
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def get_model(self) -> nn.Layer:
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""" """
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raise NotImplementedError
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@abstractmethod
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def execute_model(self, ) -> ModelRunnerOutput:
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""" """
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raise NotImplementedError
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@abstractmethod
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def profile_run(self) -> None:
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""" """
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raise NotImplementedError
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