⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.
FatalError: Erroneous arithmetic operation is detected by the operating system.
[TimeInfo: Aborted at 1712889656 (unix time) try "date -d @1712889656" if you are using GNU date ]
[SignalInfo: SIGFPE (@0x7f268c23bda5) received by PID 337444 (TID 0x7f26fd303740) from PID 18446744071765736869 ]
pip install fastdeploy-gpu-python==0.0.0 -f https://www.paddlepaddle.org.cn/whl/fastdeploy_nightly_build.html
python =3.10 cuda =11.2 报错。
自己编译的也是这样的错误。 使用官方提供的 whl 也是错误。 [INFO] fastdeploy/runtime/backends/paddle/paddle_backend.cc(29)::BuildOption Will inference_precision float32 [INFO] fastdeploy/runtime/runtime.cc(286)::CreatePaddleBackend Runtime initialized with Backend::PDINFER in Device::GPU.
C++ Traceback (most recent call last):
0 paddle_infer::Predictor::Predictor(paddle::AnalysisConfig const&) 1 std::unique_ptr<paddle::PaddlePredictor, std::default_delete > paddle::CreatePaddlePredictor<paddle::AnalysisConfig, (paddle::PaddleEngineKind)2>(paddle::AnalysisConfig const&)
2 paddle::AnalysisPredictor::Init(std::shared_ptr const&, std::shared_ptr const&)
3 paddle::AnalysisPredictor::PrepareProgram(std::shared_ptr const&)
4 paddle::AnalysisPredictor::OptimizeInferenceProgram()
5 paddle::inference::analysis::Analyzer::RunAnalysis(paddle::inference::analysis::Argument)
6 paddle::inference::analysis::IrGraphBuildPass::RunImpl(paddle::inference::analysis::Argument)
Error Message Summary:
FatalError:
Erroneous arithmetic operation
is detected by the operating system. [TimeInfo: Aborted at 1712889656 (unix time) try "date -d @1712889656" if you are using GNU date ] [SignalInfo: SIGFPE (@0x7f268c23bda5) received by PID 337444 (TID 0x7f26fd303740) from PID 18446744071765736869 ]