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fix top_p_candidates and support separate setting of sampling params for mtp (#4189)
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Browse Source 
* fix top_p_candidates

* For separate setting params for mtp

* delete print

* fix
This commit is contained in:
GoldPancake
2025-09-28 11:41:20 +08:00
committed by GitHub
parent f8c6a354a1
commit 076c30cb0f
4 changed files with 29 additions and 5 deletions
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12
fastdeploy/spec_decode/mtp.py
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@@ -303,8 +303,16 @@ class MTPProposer(Proposer):
)
# self.model_inputs["caches"] = self.cache_kvs
# Inherit generation hyperparameters from the main model for consistency
self.model_inputs["top_p"] = self.target_model_inputs["top_p"]
self.model_inputs["top_k"] = self.target_model_inputs["top_k"]
self.model_inputs["top_p"] = (
self.target_model_inputs["top_p"]
if envs.FD_SPECULATE_SAMPLING_TOP_P is None
else paddle.full_like(self.target_model_inputs["top_p"], envs.FD_SPECULATE_SAMPLING_TOP_P)
)
self.model_inputs["top_k"] = (
self.target_model_inputs["top_k"]
if envs.FD_SPECULATE_SAMPLING_TOP_K is None
else paddle.full_like(self.target_model_inputs["top_k"], envs.FD_SPECULATE_SAMPLING_TOP_K)
)
self.model_inputs["temperature"] = self.target_model_inputs["temperature"]
self.model_inputs["eos_token_id"] = self.target_model_inputs["eos_token_id"]
self.model_inputs["penalty_score"] = self.target_model_inputs["penalty_score"]