Open Jotree2012 opened 2 weeks ago
删除/workspace/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch后,
重新运行命令
日志如下:报错不能下载模型
root@88336fc22380:/workspace/FunASR/runtime# tail -f log.txt
Key Conformer already exists in model_classes, re-register
Key Linear already exists in adaptor_classes, re-register
Key TransformerDecoder already exists in decoder_classes, re-register
Key LightweightConvolutionTransformerDecoder already exists in decoder_classes, re-register
Key LightweightConvolution2DTransformerDecoder already exists in decoder_classes, re-register
Key DynamicConvolutionTransformerDecoder already exists in decoder_classes, re-register
Key DynamicConvolution2DTransformerDecoder already exists in decoder_classes, re-register
transformer is not installed, please install it if you want to use related modules
I20241108 06:46:43.440191 1214 funasr-wss-server.cpp:235] Set vad-dir : /workspace/models/damo/speech_fsmn_vad_zh-cn-16k-common-onnx
I20241108 06:46:43.440222 1214 funasr-wss-server.cpp:289] Download model: damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch from modelscope:
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 185, in _run_module_as_main
mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
File "/usr/lib/python3.8/runpy.py", line 111, in _get_module_details
import(pkg_name)
File "/usr/local/lib/python3.8/dist-packages/funasr/init.py", line 37, in
是版本太高了? root@6e761e19fa76:/workspace/FunASR/runtime# nvidia-smi Fri Nov 8 07:54:45 2024 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 565.51.01 Driver Version: 565.90 CUDA Version: 12.7 | |-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA GeForce RTX 4090 D On | 00000000:01:00.0 On | Off | | 0% 49C P8 12W / 425W | 1289MiB / 24564MiB | 6% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | 0 N/A N/A 33 G /Xwayland N/A |
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❓ Questions and Help
Before asking:
What is your question?
运行WSL-Ubuntu-Docker GPU版 提示这个模型里没有文件 model_blade.torchscript
按照官网https://github.com/modelscope/FunASR/blob/main/runtime/docs/SDK_advanced_guide_offline_gpu_zh.md 到最后一步 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-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch \ --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.txt 2>&1 &
执行后,查看log.txt tail -f log.txt If you want to use ffmpeg backend to load audio, please install it by: sudo apt install ffmpeg # ubuntu
brew install ffmpeg # mac
transformer is not installed, please install it if you want to use related modules model is not exist, begin to export /workspace/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model_blade.torchscript funasr version: 1.1.8. Check update of funasr, and it would cost few times. You may disable it by set
main()
File "/workspace/FunASR/funasr/download/runtime_sdk_download_tool.py", line 51, in main
export_model.export(
File "/workspace/FunASR/funasr/auto/auto_model.py", line 662, in export
export_dir = export_utils.export(model=model, data_in=data_list, **kwargs)
File "/workspace/FunASR/funasr/utils/export_utils.py", line 31, in export
assert (
AssertionError: Currently bladedisc optimization for FunASR only supports GPU
I20241108 06:19:07.329227 161 funasr-wss-server.cpp:308] Failed to download model from modelscope. If you set local asr model path, you can ignore the errors.
E20241108 06:19:07.330305 161 funasr-wss-server.cpp:312] /workspace/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model_blade.torchscript do not exists.
disable_update=True
in AutoModel New version is available: 1.1.14. Please use the command "pip install -U funasr" to upgrade. Downloading: 100%|██████████| 6.00k/6.00k [00:00<00:00, 18.3kB/s] Downloading: 100%|██████████| 10.9k/10.9k [00:00<00:00, 38.9kB/s] Downloading: 100%|██████████| 408k/408k [00:00<00:00, 897kB/s] Downloading: 100%|██████████| 2.83k/2.83k [00:00<00:00, 9.47kB/s] Downloading: 100%|██████████| 693/693 [00:00<00:00, 2.22kB/s] Downloading: 100%|██████████| 859M/859M [01:21<00:00, 11.0MB/s] Downloading: 100%|██████████| 19.2k/19.2k [00:00<00:00, 55.9kB/s] Downloading: 100%|██████████| 7.90M/7.90M [00:01<00:00, 6.52MB/s] Downloading: 100%|██████████| 48.7k/48.7k [00:00<00:00, 130kB/s] Downloading: 100%|██████████| 91.5k/91.5k [00:00<00:00, 196kB/s] Traceback (most recent call last): File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main return _run_code(code, main_globals, None, File "/usr/lib/python3.8/runpy.py", line 87, in _run_code exec(code, run_globals) File "/workspace/FunASR/funasr/download/runtime_sdk_download_tool.py", line 58, inWhat have you tried?
有damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch模型,想要手动重新下载,发现ModelScope对应模型文件夹下并没有文件model_blade.torchscript
What's your environment?
WSL-Ubuntu-Docker WSL2.0 Ubuntu22.04 Docker version 24.0.7, build 24.0.7-0ubuntu2~22.04.1