GPU镜像拉下之后跑会报错，尝试转onnx发现跟外部CUDA12.2不兼容，里面构建的CUDA太老。

[vigney-young]

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🐛 Bug

按照官网教程部署 registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-gpu-0.2.1 的时候会报：

尝试转onnx报：

To Reproduce

Steps to reproduce the behavior (always include the command you ran):

1. Run cmd '....'
   nohup bash run_server.sh --download-model-dir /workspace/models --vad-dir iic/speech_fsmn_vad_zh-cn-16k-common-onnx --model-dir iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch --punc-dir iic/punc_ct-transformer_cn-en-common-vocab471067-large-onnx --lm-dir iic/speech_ngram_lm_zh-cn-ai-wesp-fst --itn-dir thuduj12/fst_itn_zh --hotword /workspace/models/hotwords.txt --batch-size 1 > log.txt 2>&1 &

2. See error

Code sample

Expected behavior

Environment

• OS (e.g., Linux):ubuntu 24.04 x86
• FunASR Version (e.g., 1.0.0): 镜像： registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-gpu-0.2.1
• ModelScope Version (e.g., 1.11.0):镜像： registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-gpu-0.2.1
• PyTorch Version (e.g., 2.0.0):镜像： registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-gpu-0.2.1 1.12.0+cu113
• How you installed funasr (pip, source):镜像直接部署
• Python version:3.8
• GPU (e.g., V100M32)：nvidia 4090
• CUDA/cuDNN version (e.g., cuda11.7): 12.2
• Docker version (e.g., funasr-runtime-sdk-cpu-0.4.1) registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-gpu-0.2.1 1.12.0+cu113
• Any other relevant information:

Additional context