识别8000左右录音文件 程序假死?

[LiSongRan]

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2. search the docs.

What is your question?

docker启动之后，启动 funasr-wss-server服务程序：

cd FunASR/runtime nohup bash run_server.sh \ --download-model-dir /workspace/models \ --vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx \ --model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx \ --punc-dir damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx \ --lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst \ --itn-dir thuduj12/fst_itn_zh \ --hotword /workspace/models/hotwords.txt > log.out 2>&1 & 运行这个 程序都在识别8000个的时候 假死 不在进行但不退出

Code

What have you tried?

试过两次都是 内存占满之后 程序还在运行 但是不在往下识别了

What's your environment?

sudo docker pull \ registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.4.1 mkdir -p ./funasr-runtime-resources/models sudo docker run -p 10095:10095 -it --privileged=true \ -v $PWD/funasr-runtime-resources/models:/workspace/models \ registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.4.1

用的就是这个镜像

• OS (e.g., Linux):
• FunASR Version (e.g., 1.0.0):
• ModelScope Version (e.g., 1.11.0):
• PyTorch Version (e.g., 2.0.0):
• How you installed funasr (pip, source):
• Python version:
• GPU (e.g., V100M32)
• CUDA/cuDNN version (e.g., cuda11.7):
• Docker version (e.g., funasr-runtime-sdk-cpu-0.4.1)
• Any other relevant information:

[LiSongRan]

**** how do u solve this problem

[lyblsgo]

Try version funasr-runtime-sdk-cpu-0.4.2 to see if the issue still persists.