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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>
63 lines
2.0 KiB
Python
63 lines
2.0 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 dataclasses import dataclass
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from typing import Dict, Optional
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import paddle
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from fastdeploy.model_executor.logits_processor import LogitsProcessor
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@dataclass
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class SamplingMetadata:
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"""
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metadata for sampling.
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"""
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temperature: paddle.Tensor
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pre_token_ids: paddle.Tensor
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eos_token_ids: paddle.Tensor
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frequency_penalties: paddle.Tensor
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presence_penalties: paddle.Tensor
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repetition_penalties: paddle.Tensor
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min_dec_lens: paddle.Tensor
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bad_words_token_ids: paddle.Tensor
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step_idx: paddle.Tensor
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top_p: paddle.Tensor
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top_k: Optional[paddle.Tensor] = None
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top_k_list: Optional[list] = None
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min_p: Optional[paddle.Tensor] = None
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min_p_list: Optional[list] = None
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seed: Optional[paddle.Tensor] = None
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max_num_logprobs: Optional[int] = None
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enable_early_stop: Optional[int] = False
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stop_flags: Optional[paddle.Tensor] = None
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prompt_ids: Optional[paddle.Tensor] = None
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prompt_lens: Optional[paddle.Tensor] = None
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temp_scaled_logprobs: Optional[paddle.Tensor] = None
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top_p_normalized_logprobs: Optional[paddle.Tensor] = None
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share_inputs: Optional[Dict[str, paddle.Tensor]] = None
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logits_processors: Optional[list[LogitsProcessor]] = None
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# Add for HPU post-processing
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seq_lens_encoder: Optional[paddle.Tensor] = None
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seq_lens_decoder: Optional[paddle.Tensor] = None
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