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[Feature] Add temp_scaled_logprobs and top_p_normalized_logprobs parameters for logits and logprobs post processing (#3552)

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* [feature] Add temp_scaled_logprobs and top_p_normalized_logprobs parameters for logits and logprobs post processing

* infer engine support temp_scaled_logprobs and top_p_normalized_logprobs

* delete some code

* code check

* code check and add doc

* fix tokenizer.decoder(-1), return 'Invalid Token'

* add ci for temp_scaled and top_p logprobs

* check test

* check seq len time shape

* logprob clip inf

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Co-authored-by: sunlei1024 <sunlei5788@gmail.com>
This commit is contained in:
chen
2025-08-25 14:11:49 +08:00
committed by GitHub
parent 2410adb041
commit 9cab3f47ff
8 changed files with 195 additions and 8 deletions
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fastdeploy/engine/sampling_params.py
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@@ -98,6 +98,9 @@ class SamplingParams:
reasoning_max_tokens: Optional[int] = None
min_tokens: int = 1
logprobs: Optional[int] = None
# For logits and logprobs post processing
temp_scaled_logprobs: bool = False
top_p_normalized_logprobs: bool = False
bad_words: Optional[List[str]] = None
_bad_words_token_ids: Optional[List[int]] = None