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chore: 新增 requirements_vllm.txt 文件,指定VLLM 模型所需的依赖
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@@ -103,7 +103,7 @@ class VllmQwen2LM(Qwen2LM):
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async def inference_processor(self, task_queue):
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async def inference_processor(self, task_queue):
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while True:
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while True:
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try:
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try:
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print(f"inference_processor")
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logging.debug(f"inference_processor")
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out_queue, prompt_token_ids, request_id, stop_token_ids, max_tokens = task_queue.get()
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out_queue, prompt_token_ids, request_id, stop_token_ids, max_tokens = task_queue.get()
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sampling_params = SamplingParams(**SAMPLING_PARAMS)
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sampling_params = SamplingParams(**SAMPLING_PARAMS)
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sampling_params.stop_token_ids = stop_token_ids or [6561]
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sampling_params.stop_token_ids = stop_token_ids or [6561]
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40
requirements_vllm.txt
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40
requirements_vllm.txt
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@@ -0,0 +1,40 @@
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vllm==0.7.3
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pydantic==2.10.6
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torch==2.5.1
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torchaudio==2.5.1
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conformer==0.3.2
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diffusers==0.32.2
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gdown==5.1.0
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grpcio==1.57.0
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grpcio-tools==1.57.0
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hydra-core==1.3.2
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HyperPyYAML==1.2.2
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inflect==7.3.1
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librosa==0.10.2
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lightning==2.5.0.post0
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matplotlib==3.7.5
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modelscope==1.15.0
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networkx==3.4.2
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omegaconf==2.3.0
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onnx==1.17.0
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onnxruntime-gpu==1.19.0; sys_platform == 'linux'
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#openai-whisper==20231117
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openai-whisper==20240930
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protobuf==4.25
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pyworld==0.3.4
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rich==13.7.1
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soundfile==0.12.1
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tensorboard==2.14.0
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wget==3.2
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WeTextProcessing==1.0.3
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# trt use
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tensorrt-cu12==10.0.1
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tensorrt-cu12-bindings==10.0.1
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tensorrt-cu12-libs==10.0.1
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