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a012e3608b
* [feat] provide an interface for logits processors and a builtin LogitBiasLogitsProcessor * [chore] fix code style * [fix] add unit test & fix existing bugs * [feat] add engine/worker arg --logits-processors * [fix] redefine user args as logits_processors_args and fix some bugs * [fix] fix test_sampler * Update fastdeploy/model_executor/logits_processor/builtin.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update fastdeploy/model_executor/logits_processor/__init__.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update tests/model_executor/test_logits_processor.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * [fix] fix typo * Update fastdeploy/engine/sampling_params.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * [fix] fix bracelet * [chore] redefine logits processor interface: pass the entire share_inputs into LP, do not copy share_inputs and logits * [doc] add docs * [fix] fix logit bias processor not applied when decoding is too fast & add docs and tests * [fix] fix redundant code * [feat] skip apply() if no bias is specified --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
47 lines
1.6 KiB
Python
47 lines
1.6 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 Tensor
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from fastdeploy.config import FDConfig
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class LogitsProcessor(ABC):
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@abstractmethod
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def __init__(self, fd_config: FDConfig) -> None:
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raise NotImplementedError
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@abstractmethod
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def update_state(self, share_inputs: dict) -> None:
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"""Called when there are new output tokens, prior to each forward pass.
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Each field in the `share_inputs` dict typically stores information for all request
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slots. It has a `stop_flags` array that indicates whether a slot currently has a
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running request (`False` means the slot is active). Therefore, it is recommended to
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filter entries by `stop_flags` to keep only data for the current batch.
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"""
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raise NotImplementedError
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@abstractmethod
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def apply(self, logits: Tensor) -> Tensor:
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"""Apply LogitsProcessor to batch logits tensor.
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The updated tensor must be returned but may be modified in-place.
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"""
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raise NotImplementedError
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