Comments (4)
I changed to paddleseg==2.5.0 and now I have didferent crash
--------------------------------------
C++ Traceback (most recent call last):
--------------------------------------
0 argmax_ad_func(paddle::experimental::Tensor const&, paddle::experimental::ScalarBase<paddle::experimental::Tensor>, bool, bool, int)
1 paddle::experimental::argmax(paddle::experimental::Tensor const&, paddle::experimental::ScalarBase<paddle::experimental::Tensor> const&, bool, bool, int)
2 phi::KernelImpl<void (*)(phi::CPUContext const&, phi::DenseTensor const&, paddle::experimental::ScalarBase<phi::DenseTensor> const&, bool, bool, int, phi::DenseTensor*), &(void phi::ArgMaxKernel<float, phi::CPUContext>(phi::CPUContext const&, phi::DenseTensor const&, paddle::experimental::ScalarBase<phi::DenseTensor> const&, bool, bool, int, phi::DenseTensor*))>::VariadicCompute(phi::DeviceContext const&, phi::DenseTensor const&, paddle::experimental::ScalarBase<phi::DenseTensor> const&, bool, bool, int, phi::DenseTensor*)
3 void phi::ArgMaxKernel<float, phi::CPUContext>(phi::CPUContext const&, phi::DenseTensor const&, paddle::experimental::ScalarBase<phi::DenseTensor> const&, bool, bool, int, phi::DenseTensor*)
4 void phi::ArgMinMaxKernel<phi::CPUContext, float, (phi::ArgMinMaxType)1>(phi::CPUContext const&, phi::DenseTensor const&, paddle::experimental::ScalarBase<phi::DenseTensor> const&, bool, bool, int, phi::DenseTensor*)
5 void paddle::framework::VisitDataTypeTiny<phi::VisitDataArgMinMaxFunctor<phi::CPUContext, float, (phi::ArgMinMaxType)1> >(paddle::framework::proto::VarType_Type, phi::VisitDataArgMinMaxFunctor<phi::CPUContext, float, (phi::ArgMinMaxType)1>)
6 void phi::VisitDataArgMinMaxFunctor<phi::CPUContext, float, (phi::ArgMinMaxType)1>::apply<int>() const
7 phi::ArgMinMaxFunctor<phi::CPUContext, float, int, 4l, (phi::ArgMinMaxType)1>::operator()(phi::CPUContext const&, phi::DenseTensor const&, phi::DenseTensor*, phi::DDim, long, bool)
8 Eigen::TensorDevice<Eigen::TensorMap<Eigen::Tensor<int, 4, 1, long>, 0, Eigen::MakePointer>, Eigen::DefaultDevice>& Eigen::TensorDevice<Eigen::TensorMap<Eigen::Tensor<int, 4, 1, long>, 0, Eigen::MakePointer>, Eigen::DefaultDevice>::operator=<Eigen::TensorConversionOp<int, Eigen::TensorTupleReducerOp<Eigen::internal::ArgMaxTupleReducer<Eigen::Tuple<long, float> >, std::array<long, 1ul> const, Eigen::TensorMap<Eigen::Tensor<float const, 4, 1, long>, 0, Eigen::MakePointer> const> const> >(Eigen::TensorConversionOp<int, Eigen::TensorTupleReducerOp<Eigen::internal::ArgMaxTupleReducer<Eigen::Tuple<long, float> >, std::array<long, 1ul> const, Eigen::TensorMap<Eigen::Tensor<float const, 4, 1, long>, 0, Eigen::MakePointer> const> const> const&)
9 Eigen::internal::TensorExecutor<Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<int, 4, 1, long>, 0, Eigen::MakePointer>, Eigen::TensorConversionOp<int, Eigen::TensorTupleReducerOp<Eigen::internal::ArgMaxTupleReducer<Eigen::Tuple<long, float> >, std::array<long, 1ul> const, Eigen::TensorMap<Eigen::Tensor<float const, 4, 1, long>, 0, Eigen::MakePointer> const> const> const> const, Eigen::DefaultDevice, true, (Eigen::internal::TiledEvaluation)0>::run(Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<int, 4, 1, long>, 0, Eigen::MakePoint
er>, Eigen::TensorConversionOp<int, Eigen::TensorTupleReducerOp<Eigen::internal::ArgMaxTupleReducer<Eigen::Tuple<long, float> >, std::array<long, 1ul> const, Eigen::TensorMap<Eigen::Te
nsor<float const, 4, 1, long>, 0, Eigen::MakePointer> const> const> const> const&, Eigen::DefaultDevice const&)
10 Eigen::TensorEvaluator<Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<int, 4, 1, long>, 0, Eigen::MakePointer>, Eigen::TensorConversionOp<int, Eigen::TensorTupleReducerOp<Eig
en::internal::ArgMaxTupleReducer<Eigen::Tuple<long, float> >, std::array<long, 1ul> const, Eigen::TensorMap<Eigen::Tensor<float const, 4, 1, long>, 0, Eigen::MakePointer> const> const>
const> const, Eigen::DefaultDevice>::evalSubExprsIfNeeded(int*)
----------------------
Error Message Summary:
----------------------
FatalError: `Process abort signal` is detected by the operating system.
[TimeInfo: *** Aborted at 1664549691 (unix time) try "date -d @1664549691" if you are using GNU date ***]
[SignalInfo: *** SIGABRT (@0x3e8000dd076) received by PID 905334 (TID 0x7f4c01149340) from PID 905334 ***]
Aborted (core dumped)
Gdb shows this
where left dim is 1,1,720,1280 and right is 1,720,1280
from paddletest.
I have reinstalled everything and it still doesn't work.
from paddletest.
I will try on different machine
from paddletest.
It works on different machine so I will continue there
from paddletest.
Related Issues (7)
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from paddletest.