Closed sunyclj closed 2 months ago
假如您下载了源码,建议把pip包里的paddleocr卸载试试,pip uninstall paddleocr
假如您下载了源码,建议把pip包里的paddleocr卸载试试,pip uninstall paddleocr
是源码推理,卸载之后依然报一样的错误。
Could not load library libcudnn_cnn_infer.so.8. Error: libnvrtc.so: cannot open shared object file: No such file or directory动态链接库找不到的问题建议您可以看看博客的解决方案:https://blog.csdn.net/qq_45934285/article/details/134064505
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🐛 Bug (问题描述)
详细报错日志: [2024/09/19 07:32:45] ppocr WARNING: The first GPU is used for inference by default, GPU ID: 0 [2024/09/19 07:32:46] ppocr WARNING: The first GPU is used for inference by default, GPU ID: 0 [2024/09/19 07:32:47] ppocr WARNING: The first GPU is used for inference by default, GPU ID: 0 [2024/09/19 07:32:47] ppocr INFO: In PP-OCRv3, rec_image_shape parameter defaults to '3, 48, 320', if you are using recognition model with PP-OCRv2 or an older version, please set --rec_image_shape='3,32,320 Could not load library libcudnn_cnn_infer.so.8. Error: libnvrtc.so: cannot open shared object file: No such file or directory
C++ Traceback (most recent call last):
0 paddle::AnalysisPredictor::ZeroCopyRun(bool) 1 paddle::framework::NaiveExecutor::RunInterpreterCore(std::vector<std::string, std::allocator > const&, bool, bool)
2 paddle::framework::InterpreterCore::Run(std::vector<std::string, std::allocator > const&, bool, bool, bool, bool)
3 paddle::framework::ProgramInterpreter::Run(std::vector<std::string, std::allocator > const&, bool, bool, bool, bool)
4 paddle::framework::ProgramInterpreter::Build(std::vector<std::string, std::allocator > const&, std::vector<paddle::framework::OpFuncNode, std::allocator >, bool)
5 paddle::framework::interpreter::BuildOpFuncList(phi::Place const&, paddle::framework::BlockDesc const&, std::set<std::string, std::less, std::allocator > const&, std::vector<paddle::framework::OpFuncNode, std::allocator > , paddle::framework::VariableScope, paddle::framework::interpreter::ExecutionConfig const&, std::vector<std::function<void (paddle::framework::OperatorBase, paddle::framework::Scope)>, std::allocator<std::function<void (paddle::framework::OperatorBase, paddle::framework::Scope)> > > const&, std::vector<std::function<void (paddle::framework::OperatorBase, paddle::framework::Scope)>, std::allocator<std::function<void (paddle::framework::OperatorBase, paddle::framework::Scope)> > > const&, bool, bool)
6 void phi::KernelImpl<void ()(phi::GPUContext const&, phi::DenseTensor const&, phi::DenseTensor const&, phi::DenseTensor const&, paddle::optional const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, std::string const&, std::vector<int, std::allocator > const&, int, std::string const&, std::string const&, std::vector<int, std::allocator > const&, bool, int, float, phi::DenseTensor, std::vector<phi::DenseTensor, std::allocator<phi::DenseTensor> >), &(void phi::fusion::FusedConv2dAddActKernel<float, phi::GPUContext>(phi::GPUContext const&, phi::DenseTensor const&, phi::DenseTensor const&, phi::DenseTensor const&, paddle::optional const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, std::string const&, std::vector<int, std::allocator > const&, int, std::string const&, std::string const&, std::vector<int, std::allocator > const&, bool, int, float, phi::DenseTensor , std::vector<phi::DenseTensor, std::allocator<phi::DenseTensor> >))>::KernelCallHelper<paddle::optional const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, std::string const&, std::vector<int, std::allocator > const&, int, std::string const&, std::string const&, std::vector<int, std::allocator > const&, bool, int, float, phi::DenseTensor, std::vector<phi::DenseTensor, std::allocator<phi::DenseTensor> >, phi::TypeTag >::Compute<1, 3, 0, 0, phi::GPUContext const, phi::DenseTensor const, phi::DenseTensor const, phi::DenseTensor const>(phi::KernelContext , phi::GPUContext const&, phi::DenseTensor const&, phi::DenseTensor const&, phi::DenseTensor const&)
7 void phi::fusion::FusedConv2dAddActKernel<float, phi::GPUContext>(phi::GPUContext const&, phi::DenseTensor const&, phi::DenseTensor const&, phi::DenseTensor const&, paddle::optional const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, std::string const&, std::vector<int, std::allocator > const&, int, std::string const&, std::string const&, std::vector<int, std::allocator > const&, bool, int, float, phi::DenseTensor, std::vector<phi::DenseTensor, std::allocator<phi::DenseTensor> >)
8 phi::fusion::(anonymous namespace)::CudnnConvDescManager::GetCudnnCacheInfo(std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, std::vector<int, std::allocator > const&, phi::DataType, int, cudnnDataType_t, cudnnTensorFormat_t, std::function<void (cudnnConvolutionFwdAlgo_t , unsigned long, cudnnTensorStruct, cudnnFilterStruct, cudnnTensorStruct, cudnnConvolutionStruct*)> const&, std::string const&, double)
Error Message Summary:
FatalError:
Process abort signal
is detected by the operating system. [TimeInfo: Aborted at 1726731168 (unix time) try "date -d @1726731168" if you are using GNU date ] [SignalInfo: SIGABRT (@0x3e80001640f) received by PID 91151 (TID 0x7f4185942740) from PID 91151 ]Aborted (core dumped)
🏃♂️ Environment (运行环境)
Package Version
albucore 0.0.16 albumentations 1.4.15 annotated-types 0.7.0 anyio 4.4.0 astor 0.8.1 beautifulsoup4 4.12.3 certifi 2024.8.30 charset-normalizer 3.3.2 coloredlogs 15.0.1 contourpy 1.3.0 cycler 0.12.1 Cython 3.0.11 decorator 5.1.1 eval_type_backport 0.2.0 exceptiongroup 1.2.2 fire 0.6.0 flatbuffers 24.3.25 fonttools 4.53.1 h11 0.14.0 httpcore 1.0.5 httpx 0.27.2 humanfriendly 10.0 idna 3.10 imageio 2.35.1 imgaug 0.4.0 importlib_resources 6.4.5 kiwisolver 1.4.7 lazy_loader 0.4 lmdb 1.5.1 lxml 5.3.0 matplotlib 3.9.2 mpmath 1.3.0 networkx 3.2.1 numpy 1.26.4 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 2.19.3 nvidia-nvtx-cu11 11.8.86 onnxruntime 1.19.2 opencv-contrib-python 4.10.0.84 opencv-python 4.10.0.84 opencv-python-headless 4.10.0.84 opt-einsum 3.3.0 packaging 24.1 paddle2onnx 1.2.8 paddleocr 2.8.1 paddlepaddle 2.6.2 paddlepaddle-gpu 3.0.0b1 pillow 10.4.0 pip 24.2 protobuf 5.28.1 pyclipper 1.3.0.post5 pydantic 2.9.2 pydantic_core 2.23.4 pyparsing 3.1.4 python-dateutil 2.9.0.post0 python-docx 1.1.2 PyYAML 6.0.2 rapidfuzz 3.9.7 requests 2.32.3 scikit-image 0.24.0 scipy 1.13.1 setuptools 73.0.1 shapely 2.0.6 six 1.16.0 sniffio 1.3.1 soupsieve 2.6 sympy 1.13.2 termcolor 2.4.0 tifffile 2024.8.30 tqdm 4.66.5 typing_extensions 4.12.2 urllib3 2.2.3 wheel 0.44.0 zipp 3.20.2
🌰 Minimal Reproducible Example (最小可复现问题的Demo)
python tools/infer/predict_system.py --image_dir="./5645.jpg" --det_model_dir='./pre_model/ch_PP-OCRv4_det_infer' --cls_model_dir='./pre_model/ch_ppocr_mobile_v2.0_cls_infer' --rec_model_dir='./pre_model/ch_PP-OCRv4_rec_infer' --use_angle_cls=true 虚拟环境中cuda及cudnn版本如下: CUDA version: 11.8 cuDNN version: 8.6.0 python版本3.9 执行import paddle