* [BugFix] Force top_k=1 for greedy decoding when temperature=0
When temperature is set to 0 (greedy decoding), only setting temperature
to a small epsilon is insufficient — the sampling kernel may still pick
non-top-1 tokens. Explicitly set top_k=1 in all processors to guarantee
argmax behavior.
Additionally, add argmax fast-path in top_k_top_p_sampling() under
FD_DETERMINISTIC_MODE to handle non-rejection sampling backends that
ignore top_k parameter.
* Extract greedy decoding from FD_DETERMINISTIC_MODE guard
top_k=1 → argmax is a correctness optimization, not deterministic-specific.
Remove the FD_DETERMINISTIC_MODE guard so all-greedy fast-path and
mixed-batch override work unconditionally.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* Update test_torch_model.py
---------
Co-authored-by: gongweibao <gognweibao@baidu.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: YuBaoku <49938469+EmmonsCurse@users.noreply.github.com>
* add start intercept
* Adjustment GraphOptConfig
* pre-commit
* default use cudagraph
* set default value
* default use cuda graph
* pre-commit
* fix test case bug
* disable rl
* fix moba attention
* only support gpu
* Temporarily disable PD Disaggregation
* set max_num_seqs of test case as 1
* set max_num_seqs and temperature
* fix max_num_batched_tokens bug
* close cuda graph
* success run wint2
* profile run with max_num_batched_tokens
* 1.add c++ memchecker 2.success run wint2
* updatee a800 yaml
* update docs
* 1. delete check 2. fix plas attn test case
* default use use_unique_memory_pool
* add try-except for warmup
* ban mtp, mm, rl
* fix test case mock
* fix ci bug
* fix form_model_get_output_topp0 bug
* fix ci bug
* refine deepseek ci
* refine code
* Disable PD
* fix sot yaml
sunxin