qwen3 omni support long audio#1268
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… to remove first-request audio cold- start latency.
…ize_omni_merge # Conflicts: # lightllm/models/qwen3_omni_moe_thinker/qwen3_omni_audio.py # lightllm/models/whisper/whisper_audio.py # lightllm/server/api_start.py # lightllm/server/audioserver/manager.py # lightllm/server/audioserver/model_infer/model_rpc.py # lightllm/server/httpserver/manager.py # lightllm/utils/multimodal_utils.py
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This pull request updates the Qwen3 Omni MoE Thinker model by disabling default audio truncation, simplifying token length calculations, and making the convolution chunk size configurable via environment variables. It also adds inference mode decorators and a new check_long_audio_infer method to validate long audio processing during initialization. Feedback was provided to use the model parameters' actual dtype in check_long_audio_infer to avoid potential type mismatches after model casting.
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
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