Created by: xiaomujiang

欢迎您反馈PaddleHub使用问题，非常感谢您对PaddleHub的贡献！ 在留下您的问题时，辛苦您同步提供如下信息：

• 版本、环境信息 1）PaddleHub和PaddlePaddle版本：请提供您的PaddleHub和PaddlePaddle版本号，例如PaddleHub1.4.1，PaddlePaddle1.6.2 2）系统环境：请您描述系统类型，例如Linux/Windows/MacOS/，python版本
• 复现信息：如为报错，请给出复现环境、复现步骤 ubuntu18 paddlehub 1.6.2 paddlepaddle-gpu 1.8.1.post107 python 3.7.7 nvidia-smi Wed Jul 15 20:17:13 2020
  +-----------------------------------------------------------------------------+ | NVIDIA-SMI 440.82 Driver Version: 440.82 CUDA Version: 10.2 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 Quadro RTX 4000 Off | 00000000:5E:00.0 On | N/A | | 30% 56C P0 31W / 125W | 344MiB / 7982MiB | 5% Default | +-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 4691 C /usr/lib/libreoffice/program/soffice.bin 97MiB | | 0 7011 G /usr/lib/xorg/Xorg 14MiB | | 0 7371 G /usr/lib/xorg/Xorg 219MiB | +-----------------------------------------------------------------------------+ 使用Module yolov3_darknet53_coco2017 already installed in /root/.paddlehub/modules/yolov3_darknet53_coco2017 模型进行预测的时候报错 错误如下： Traceback (most recent call last): File "ai_dog.py", line 498, in computer_sigle results = object_detector.object_detection(images=[frame_start],use_gpu=True) File "/root/.paddlehub/modules/yolov3_darknet53_coco2017/module.py", line 205, in object_detection [image_tensor, im_size_tensor]) paddle.fluid.core_avx.EnforceNotMet:

C++ Call Stacks (More useful to developers):

0 std::string paddle::platform::GetTraceBackString<char const*>(char const*&&, char const*, int) 1 paddle::platform::EnforceNotMet::EnforceNotMet(std::__exception_ptr::exception_ptr, char const*, int) 2 paddle::platform::dynload::EnforceCUDNNLoaded(char const*) 3 paddle::platform::CUDADeviceContext::CUDADeviceContext(paddle::platform::CUDAPlace) 4 std::_Function_handler<std::unique_ptr<paddle::platform::DeviceContext, std::default_deletepaddle::platform::DeviceContext > (), std::reference_wrapper<std::_Bind_simple<paddle::platform::EmplaceDeviceContext<paddle::platform::CUDADeviceContext, paddle::platform::CUDAPlace>(std::map<paddle::platform::Place, std::shared_future<std::unique_ptr<paddle::platform::DeviceContext, std::default_deletepaddle::platform::DeviceContext > >, std::lesspaddle::platform::Place, std::allocator<std::pair<paddle::platform::Place const, std::shared_future<std::unique_ptr<paddle::platform::DeviceContext, std::default_deletepaddle::platform::DeviceContext > > > > >, paddle::platform::Place)::{lambda()#1 (closed)} ()> > >::_M_invoke(std::_Any_data const&) 5 std::_Function_handler<std::unique_ptr<std::__future_base::_Result_base, std::__future_base::_Result_base::_Deleter> (), std::__future_base::_Task_setter<std::unique_ptr<std::__future_base::_Result<std::unique_ptr<paddle::platform::DeviceContext, std::default_deletepaddle::platform::DeviceContext > >, std::__future_base::_Result_base::_Deleter>, std::unique_ptr<paddle::platform::DeviceContext, std::default_deletepaddle::platform::DeviceContext > > >::_M_invoke(std::_Any_data const&) 6 std::__future_base::_State_base::_M_do_set(std::function<std::unique_ptr<std::__future_base::_Result_base, std::__future_base::_Result_base::_Deleter> ()>&, bool&) 7 std::__future_base::_Deferred_state<std::_Bind_simple<paddle::platform::EmplaceDeviceContext<paddle::platform::CUDADeviceContext, paddle::platform::CUDAPlace>(std::map<paddle::platform::Place, std::shared_future<std::unique_ptr<paddle::platform::DeviceContext, std::default_deletepaddle::platform::DeviceContext > >, std::lesspaddle::platform::Place, std::allocator<std::pair<paddle::platform::Place const, std::shared_future<std::unique_ptr<paddle::platform::DeviceContext, std::default_deletepaddle::platform::DeviceContext > > > > >, paddle::platform::Place)::{lambda()#1 (closed)} ()>, std::unique_ptr<paddle::platform::DeviceContext, std::default_deletepaddle::platform::DeviceContext > >::_M_run_deferred() 8 paddle::platform::DeviceContextPool::Get(paddle::platform::Place const&) 9 paddle::PaddleTensorToLoDTensor(paddle::PaddleTensor const&, paddle::framework::LoDTensor*, paddle::platform::Place const&) 10 paddle::AnalysisPredictor::SetFeed(std::vector<paddle::PaddleTensor, std::allocatorpaddle::PaddleTensor > const&, paddle::framework::Scope*) 11 paddle::AnalysisPredictor::Run(std::vector<paddle::PaddleTensor, std::allocatorpaddle::PaddleTensor > const&, std::vector<paddle::PaddleTensor, std::allocatorpaddle::PaddleTensor >*, int)

Error Message Summary:

Error: Cannot load cudnn shared library. Cannot invoke method cudnnGetVersion at (/paddle/paddle/fluid/platform/dynload/cudnn.cc:63)

traceback.print_exc():