Created by: xyry

https://github.com/PaddlePaddle/PaddleSeg/tree/release/v0.2.0/inference#3%E7%BC%96%E8%AF%91 中4.3执行预测报错 下面是报错日志 ./demo --conf=/home/zhiyu/Desktop/projects/PaddleSeg/inference/conf/humanseg .yaml --input_dir=/home/zhiyu/Desktop/projects/PaddleSeg/inference/images/humanseg/ WARNING: Logging before InitGoogleLogging() is written to STDERR W1210 19:44:22.353368 32558 device_context.cc:235] Please NOTE: device: 0, CUDA Capability: 75, Driver API Version: 10.0, Runtime API Version: 9.0 W1210 19:44:22.355456 32558 device_context.cc:243] device: 0, cuDNN Version: 7.6. terminate called after throwing an instance of 'paddle::platform::EnforceNotMet' what():

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

0 std::string paddle::platform::GetTraceBackString<std::string const&>(std::string const&, char const*, int) 1 paddle::platform::EnforceNotMet::EnforceNotMet(std::string const&, char const*, int) 2 paddle::operators::CUDNNConvOpKernel::Compute(paddle::framework::ExecutionContext const&) const 3 std::Function_handler<void (paddle::framework::ExecutionContext const&), paddle::framework::OpKernelRegistrarFunctor<paddle::platform::CUDAPlace, false, 0ul, paddle::operators::CUDNNConvOpKernel, paddle::operators::CUDNNConvOpKernel, paddle::operators::CUDNNConvOpKernelpaddle::platform::float16 >::operator()(char const*, char const*, int) const::{lambda(paddle::framework::ExecutionContext const&)#1}>::M_invoke(std::Any_data const&, paddle::framework::ExecutionContext const&) 4 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace, paddle::platform::CUDAPinnedPlace, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_> const&, paddle::framework::RuntimeContext*) const 5 paddle::framework::OperatorWithKernel::RunImpl(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace, paddle::platform::CUDAPinnedPlace, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_> const&) const 6 paddle::framework::OperatorBase::Run(paddle::framework::Scope const&, boost::variant<paddle::platform::CUDAPlace, paddle::platform::CPUPlace, paddle::platform::CUDAPinnedPlace, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_, boost::detail::variant::void_> const&) 7 paddle::framework::Executor::RunPreparedContext(paddle::framework::ExecutorPrepareContext*, paddle::framework::Scope*, bool, bool, bool) 8 paddle::NativePaddlePredictor::Run(std::vector<paddle::PaddleTensor, std::allocatorpaddle::PaddleTensor > const&, std::vector<paddle::PaddleTensor, std::allocatorpaddle::PaddleTensor >*, int)

Python Call Stacks (More useful to users):

File "/home/chenzeyu01/anaconda3/envs/paddle1.3-py36/lib/python3.6/site-packages/paddle/fluid/framework.py", line 1748, in append_op attrs=kwargs.get("attrs", None)) File "/home/chenzeyu01/anaconda3/envs/paddle1.3-py36/lib/python3.6/site-packages/paddle/fluid/layer_helper.py", line 43, in append_op return self.main_program.current_block().append_op(*args, **kwargs) File "/home/chenzeyu01/anaconda3/envs/paddle1.3-py36/lib/python3.6/site-packages/paddle/fluid/layers/nn.py", line 2171, in conv2d 'fuse_relu_before_depthwise_conv': False File "/ssd3/chenzeyu01/PaddleSeg/pdseg/models/libs/model_libs.py", line 110, in conv return fluid.layers.conv2d(*args, **kargs) File "/ssd3/chenzeyu01/PaddleSeg/pdseg/models/backbone/xception.py", line 125, in entry_flow param_attr=param_attr)) File "/ssd3/chenzeyu01/PaddleSeg/pdseg/models/backbone/xception.py", line 86, in net data = self.entry_flow(input) File "/ssd3/chenzeyu01/PaddleSeg/pdseg/models/modeling/deeplab.py", line 205, in xception decode_points=decode_point) File "/ssd3/chenzeyu01/PaddleSeg/pdseg/models/modeling/deeplab.py", line 212, in deeplabv3p data, decode_shortcut = xception(img) File "/ssd3/chenzeyu01/PaddleSeg/pdseg/models/model_builder.py", line 143, in build_model logits = model_func(image, class_num) File "./pdseg/export_model.py", line 64, in freeze infer_prog, startup_prog, phase=ModelPhase.PREDICT) File "./pdseg/export_model.py", line 95, in main freeze(args) File "./pdseg/export_model.py", line 99, in main()

Error Message Summary:

PaddleCheckError: CUDNN_STATUS_EXECUTION_FAILED at [/paddle/paddle/fluid/operators/conv_cudnn_op.cu:288] [operator < conv2d > error] Aborted (core dumped)

我的显卡型号是RTX2060,以及会不会是这个显卡需要CUDA10版本及以上，我本机安装的是CUDA9