运行web_ui.py报错：Segmentation fault (core dumped)

[smallflyingpig]

Describe the bug 2024-07-09 21:49:45,485 - modelscope - INFO - PyTorch version 2.3.0+cu118 Found. 2024-07-09 21:49:45,488 - modelscope - INFO - Loading ast index from /home/hadoop-hmart-peisongpa/.cache/modelscope/ast_indexer 2024-07-09 21:49:46,901 - modelscope - INFO - Loading done! Current index file version is 1.15.0, with md5 89be555b4b57c4a68d2b1c52b4b2f4f9 and a total number of 980 components indexed /home/hadoop-hmart-peisongpa/dolphinfs_hdd_hadoop-hmart-peisongpa/lijiguo/conda/envs/fun_audio_llm38/lib/python3.8/site-packages/torch/_jit_internal.py:739: FutureWarning: ignore(True) has been deprecated. TorchScript will now drop the function call on compilation. Use torch.jit.unused now. {} warnings.warn( /home/hadoop-hmart-peisongpa/dolphinfs_hdd_hadoop-hmart-peisongpa/lijiguo/conda/envs/fun_audio_llm38/lib/python3.8/site-packages/diffusers/models/lora.py:393: FutureWarning: LoRACompatibleLinear is deprecated and will be removed in version 1.0.0. Use of LoRACompatibleLinear is deprecated. Please switch to PEFT backend by installing PEFT: pip install peft. deprecate("LoRACompatibleLinear", "1.0.0", deprecation_message) 2024-07-09 21:50:07,017 INFO input frame rate=50 /home/hadoop-hmart-peisongpa/dolphinfs_hdd_hadoop-hmart-peisongpa/lijiguo/conda/envs/fun_audio_llm38/lib/python3.8/site-packages/torch/nn/utils/weight_norm.py:28: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm. warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.") 2024-07-09 21:50:13.197957298 [W:onnxruntime:, session_state.cc:1162 VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred execution providers which may or may not have an negative impact on performance. e.g. ORT explicitly assigns shape related ops to CPU to improve perf. 2024-07-09 21:50:13.198013075 [W:onnxruntime:, session_state.cc:1164 VerifyEachNodeIsAssignedToAnEp] Rerunning with verbose output on a non-minimal build will show node assignments. /mnt/dolphinfs/hdd_pool/docker/user/hadoop-hmart-peisongpa/lijiguo/workspace/FunAudioLLM-APP/cosyvoice/cosyvoice/cli/../../../../../data/models/speech_kantts_ttsfrd/resource load leagacy transf breakmodel load leagacy transf breakmodel Segmentation fault (core dumped)

Desktop (please complete the following information):

• OS: centos 8
• Python: 3.8

Pip list absl-py 2.1.0 addict 2.4.0 aiofiles 23.2.1 aiohttp 3.9.5 aiosignal 1.3.1 aliyun-python-sdk-core 2.15.1 aliyun-python-sdk-kms 2.16.3 altair 5.3.0 annotated-types 0.7.0 antlr4-python3-runtime 4.9.3 anyio 4.4.0 async-timeout 4.0.3 attrs 23.2.0 audioread 3.0.1 beautifulsoup4 4.12.3 cachetools 5.3.3 certifi 2024.7.4 cffi 1.16.0 charset-normalizer 3.3.2 click 8.1.7 coloredlogs 15.0.1 conformer 0.3.2 contourpy 1.1.1 crcmod 1.7 cryptography 42.0.8 cycler 0.12.1 dashscope 1.20.1 datasets 2.18.0 decorator 5.1.1 deepspeed 0.14.2 diffusers 0.27.2 dill 0.3.8 dnspython 2.6.1 editdistance 0.8.1 einops 0.8.0 email_validator 2.2.0 exceptiongroup 1.2.1 fastapi 0.111.0 fastapi-cli 0.0.4 ffmpy 0.3.2 filelock 3.15.4 flatbuffers 24.3.25 fonttools 4.53.1 frozenlist 1.4.1 fsspec 2024.2.0 funasr 1.1.0 gast 0.6.0 gdown 5.1.0 google-auth 2.31.0 google-auth-oauthlib 1.0.0 gradio 4.32.2 gradio_client 0.17.0 grpcio 1.57.0 grpcio-tools 1.57.0 h11 0.14.0 hjson 3.1.0 httpcore 1.0.5 httptools 0.6.1 httpx 0.27.0 huggingface-hub 0.23.4 humanfriendly 10.0 Hydra 2.5 hydra-core 1.3.2 HyperPyYAML 1.2.2 idna 3.7 importlib_metadata 8.0.0 importlib_resources 6.4.0 inflect 7.3.1 jaconv 0.3.4 jamo 0.4.1 jieba 0.42.1 Jinja2 3.1.4 jmespath 0.10.0 joblib 1.4.2 jsonschema 4.22.0 jsonschema-specifications 2023.12.1 kaldiio 2.18.0 kiwisolver 1.4.5 lazy_loader 0.4 librosa 0.10.2 lightning 2.2.4 lightning-utilities 0.11.3.post0 llvmlite 0.41.1 Markdown 3.6 markdown-it-py 3.0.0 MarkupSafe 2.1.5 matplotlib 3.7.5 mdurl 0.1.2 modelscope 1.15.0 more-itertools 10.3.0 mpmath 1.3.0 msgpack 1.0.8 multidict 6.0.5 multiprocess 0.70.16 networkx 3.1 ninja 1.11.1.1 numba 0.58.1 numpy 1.24.4 nvidia-cublas-cu11 11.11.3.6 nvidia-cuda-cupti-cu11 11.8.87 nvidia-cuda-nvrtc-cu11 11.8.89 nvidia-cuda-runtime-cu11 11.8.89 nvidia-cudnn-cu11 8.7.0.84 nvidia-cufft-cu11 10.9.0.58 nvidia-curand-cu11 10.3.0.86 nvidia-cusolver-cu11 11.4.1.48 nvidia-cusparse-cu11 11.7.5.86 nvidia-nccl-cu11 2.20.5 nvidia-nvtx-cu11 11.8.86 oauthlib 3.2.2 omegaconf 2.3.0 onnxruntime-gpu 1.16.0 openai-whisper 20231117 orjson 3.10.6 oss2 2.18.6 packaging 24.1 pandas 2.0.3 pillow 10.4.0 pip 24.0 pkgutil_resolve_name 1.3.10 platformdirs 4.2.2 pooch 1.8.2 protobuf 4.25.0 psutil 6.0.0 py-cpuinfo 9.0.0 pyarrow 16.1.0 pyarrow-hotfix 0.6 pyasn1 0.6.0 pyasn1_modules 0.4.0 pycparser 2.22 pycryptodome 3.20.0 pydantic 2.7.0 pydantic_core 2.18.1 pydub 0.25.1 Pygments 2.18.0 pynndescent 0.5.13 pynvml 11.5.0 pyparsing 3.1.2 PySocks 1.7.1 python-dateutil 2.9.0.post0 python-dotenv 1.0.1 python-multipart 0.0.9 pytorch-lightning 2.3.2 pytorch-wpe 0.0.1 pytz 2024.1 PyYAML 6.0.1 referencing 0.35.1 regex 2024.5.15 requests 2.32.3 requests-oauthlib 2.0.0 rich 13.7.1 rotary-embedding-torch 0.6.4 rpds-py 0.19.0 rsa 4.9 ruamel.yaml 0.18.6 ruamel.yaml.clib 0.2.8 ruff 0.5.1 safetensors 0.4.3 scikit-learn 1.3.2 scipy 1.10.1 semantic-version 2.10.0 sentencepiece 0.2.0 setuptools 69.5.1 shellingham 1.5.4 simplejson 3.19.2 six 1.16.0 sniffio 1.3.1 sortedcontainers 2.4.0 soundfile 0.12.1 soupsieve 2.5 soxr 0.3.7 starlette 0.37.2 sympy 1.12.1 tensorboard 2.14.0 tensorboard-data-server 0.7.2 tensorboardX 2.6.2.2 threadpoolctl 3.5.0 tiktoken 0.7.0 tokenizers 0.19.1 tomli 2.0.1 tomlkit 0.12.0 toolz 0.12.1 torch 2.3.0+cu118 torch-complex 0.4.4 torchaudio 2.3.0+cu118 torchmetrics 1.4.0.post0 tqdm 4.66.4 transformers 4.42.3 triton 2.3.0 ttsfrd 0.3.6 typeguard 4.3.0 typer 0.12.3 typing_extensions 4.12.2 tzdata 2024.1 ujson 5.10.0 umap-learn 0.5.6 urllib3 2.2.2 uvicorn 0.30.1 uvloop 0.19.0 watchfiles 0.22.0 websocket-client 1.8.0 websockets 11.0.3 Werkzeug 3.0.3 wget 3.2 wheel 0.43.0 xxhash 3.4.1 yapf 0.40.2

[aluminumbox]

it seems to be a ttsfrd fault, update code and install requirements again, we use wetextprocessing instead

[ChaoliesTinnu]

我也是，移除ttsfrd就好了 报错： ` [E:onnxruntime:Default, provider_bridge_ort.cc:1480 TryGetProviderInfo_CUDA] /onnxruntime_src/onnxruntime/core/session/provider_bridge_ort.cc:1193 onnxruntime::Provider& onnxruntime::ProviderLibrary::Get() [ONNXRuntimeError] : 1 : FAIL : Failed to load library libonnxruntime_providers_cuda.so with error: libcublasLt.so.11: cannot open shared object file: No such file or directory

2024-07-16 09:14:38.819616148 [W:onnxruntime:Default, onnxruntime_pybind_state.cc:743 CreateExecutionProviderInstance] Failed to create CUDAExecutionProvider. Please reference https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements to ensure all dependencies are met. 非法指令 (核心已转储) ` 移除ttsfrd，使用wetextprocessing，会报一些warming

pip list | grep ttsfrd
pip3 uninstall ttsfrd

然后就可以正常启动

[zhaoshuyan]

我已移除了ttsfrd,复刻声音时还是会报Segmentation fault (core dumped)