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[Refactor] Simplify dummy data generation (#35025)

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Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
This commit is contained in:
Cyrus Leung
2026-02-23 12:55:27 +08:00
committed by GitHub
parent c645e9a214
commit 987506bca6
78 changed files with 282 additions and 367 deletions
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9
vllm/model_executor/models/qwen3_asr.py
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@@ -146,14 +146,11 @@ class Qwen3ASRDummyInputsBuilder(BaseDummyInputsBuilder[Qwen3ASRProcessingInfo])
self,
seq_len: int,
mm_counts: Mapping[str, int],
mm_options: Mapping[str, BaseDummyOptions] | None = None,
mm_processor_kwargs: Mapping[str, object] | None = None,
mm_options: Mapping[str, BaseDummyOptions],
) -> MultiModalDataDict:
num_audios = mm_counts.get("audio", 0)
feature_extractor = self.info.get_feature_extractor(
**(mm_processor_kwargs or {})
)
feature_extractor = self.info.get_feature_extractor()
target_audio_length = (
min(
@@ -163,7 +160,7 @@ class Qwen3ASRDummyInputsBuilder(BaseDummyInputsBuilder[Qwen3ASRProcessingInfo])
* feature_extractor.sampling_rate
)
audio_overrides = mm_options.get("audio") if mm_options else None
audio_overrides = mm_options.get("audio")
return {
"audio": self._get_dummy_audios(