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* Fastdeploy support min_p * add test_min_p * fix * min_p_sampling * update * delete vl_gpu_model_runner.py * fix * Align usage of min_p with vLLM * fix * modified unit test * fix test_min_sampling * pre-commit all files * fix * fix * fix * fix xpu_model_runner.py
49 lines
1.3 KiB
Python
49 lines
1.3 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 Optional
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import paddle
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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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min_p: Optional[paddle.Tensor] = None
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max_num_logprobs: Optional[int] = 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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