[Bugfix] Fix model accuracy in some ops (#3231)

* fix noaux_tc op

* fix

* update

* fix qk norm

* fix linear for prequant loader

* test

* fix

* fix

* rm some print

* fix noaux_tc op

* test

* Fix the confused enable_early_stop when only set early_stop_config (#3214)

* fix the confused early_stop_config when only set early_stop_config

* pre-commit

* write a general method

* Add ci case for min token and max token (#3229)

Co-authored-by: xujing43 <xujing43@baidu.com>

* add some evil cases (#3240)

* add repitation early stop cases

* add repitation early stop cases

* add bad cases

* add bad cases

* add evil cases

* qwen3_moe (#3084)

* [Feature] support seed parameter (#3161)

* support seed

* fix

* add SamplingMetadata seed test

* The next_tokens values are inconsistent!

* add air and rejection seed test

* fix

* add SamplingParams seed test

* fix seed=0

* Default to defualt

* fix

* fix args_utils

* fix review

* fix review

* fix

* fix

* add xpu,gcu,iluvatar support seed

* fix

* 【Fix Bug】 修复 fa3 支持集中式bug (#3235)

* fix fa3 集中式bug

* 增加qknorm参数

* fix qk norm

* fix

* update

* fix linear for prequant loader

* fix

* fix

* rm some print

* fix

* fix moe init weight&scale

* fix moe init weight&scale

---------

Co-authored-by: bukejiyu <395822456@qq.com>
Co-authored-by: yuanxiaolan <yuanxiaolan01@baidu.com>
Co-authored-by: Zero Rains <linjunlu@zerorains.top>
Co-authored-by: xjkmfa <108254620+xjkmfa@users.noreply.github.com>
Co-authored-by: xujing43 <xujing43@baidu.com>
Co-authored-by: Divano <dddivano@outlook.com>
Co-authored-by: bukejiyu <52310069+bukejiyu@users.noreply.github.com>
Co-authored-by: lizexu123 <39205361+lizexu123@users.noreply.github.com>
Co-authored-by: yangjianfengo1 <125249383+yangjianfengo1@users.noreply.github.com>
Co-authored-by: qingqing01 <dangqingqing@baidu.com>

fastdeploy/model_executor/layers/moe/ep.py

@@ -49,7 +49,7 @@ def get_moe_scores(
     compute moe scores using e_score_correction_bias.
     """
     scores = paddle.nn.functional.sigmoid(gating_output)
-    scores_with_bias = scores + e_score_correction_bias.unsqueeze(0)
+    scores_with_bias = scores + e_score_correction_bias
     scores, topk_values, topk_idx = noaux_tc(
         scores,
         scores_with_bias,