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[Metax][Fix] fix 'get_token_penalty_multi_scores' input error based (… #6266

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Merged
EmmonsCurse merged 1 commit into from
Jan 29, 2026
Merged

[Metax][Fix] fix 'get_token_penalty_multi_scores' input error based (… #6266

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1 change: 1 addition & 0 deletions fastdeploy/model_executor/layers/sample/ops/apply_penalty_multi_scores.py
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Original file line number Diff line number Diff line change
Expand Up @@ -134,6 +134,7 @@ def apply_penalty_multi_scores(
presence_penalties,
temperature,
bad_words_token_ids,
bad_words_token_len,
step_idx,
min_dec_lens,
eos_token_ids,
Expand Down
14 changes: 6 additions & 8 deletions fastdeploy/worker/metax_model_runner.py
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Expand Up @@ -717,12 +717,12 @@ def insert_tasks_v1(self, req_dicts: List[Request], num_running_requests: int =

if request.get("bad_words_token_ids") is not None and len(request.get("bad_words_token_ids")) > 0:
bad_words_len = len(request.get("bad_words_token_ids"))
self.share_inputs["bad_tokens_len"][idx : idx + 1] = bad_words_len
self.share_inputs["bad_tokens_len"][idx] = bad_words_len
self.share_inputs["bad_tokens"][idx : idx + 1, :bad_words_len] = np.array(
request.get("bad_words_token_ids"), dtype="int64"
)
else:
self.share_inputs["bad_tokens_len"][idx : idx + 1] = 1
self.share_inputs["bad_tokens_len"][idx] = 1
self.share_inputs["bad_tokens"][idx : idx + 1, :] = np.array([-1], dtype="int64")

if request.get("stop_token_ids") is not None and request.get("stop_seqs_len") is not None:
Expand Down Expand Up @@ -940,12 +940,12 @@ def get_attr_from_request(request, attr, default_value=None):

if request.get("bad_words_token_ids") is not None and len(request.get("bad_words_token_ids")) > 0:
bad_words_len = len(request.get("bad_words_token_ids"))
self.share_inputs["bad_tokens_len"][idx : idx + 1] = bad_words_len
self.share_inputs["bad_tokens_len"][idx] = bad_words_len
self.share_inputs["bad_tokens"][idx : idx + 1, :bad_words_len] = np.array(
request.get("bad_words_token_ids"), dtype="int64"
)
else:
self.share_inputs["bad_tokens_len"][idx : idx + 1] = 1
self.share_inputs["bad_tokens_len"][idx] = 1
self.share_inputs["bad_tokens"][idx : idx + 1, :] = np.array([-1], dtype="int64")

if request.get("stop_token_ids") is not None and request.get("stop_seqs_len") is not None:
Expand Down Expand Up @@ -1382,9 +1382,6 @@ def _prepare_inputs(self, is_dummy_or_profile_run=False) -> None:
self.share_inputs["output_cum_offsets"].copy_(output_cum_offsets, False)
self.share_inputs["output_padding_offset"].copy_(output_padding_offset, False)

# Update bad tokens len
max_bad_tokens_len = np.max(self.share_inputs["bad_tokens_len"].numpy())

# Initialize forward meta data
self.initialize_forward_meta(is_dummy_or_profile_run=is_dummy_or_profile_run)

Expand All @@ -1405,7 +1402,8 @@ def _prepare_inputs(self, is_dummy_or_profile_run=False) -> None:
presence_penalties=self.share_inputs["presence_score"],
repetition_penalties=self.share_inputs["penalty_score"],
min_dec_lens=self.share_inputs["min_dec_len"],
bad_words_token_ids=self.share_inputs["bad_tokens"][:, :max_bad_tokens_len],
bad_words_token_ids=self.share_inputs["bad_tokens"],
bad_words_token_len=self.share_inputs["bad_tokens_len"],
eos_token_ids=self.share_inputs["eos_token_id"],
max_num_logprobs=self.max_logprobs,
enable_early_stop=self.enable_early_stop,
Expand Down
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