thrust::system::system_error after align call in FAST_VGICP_CUDA

[KennyRotella]

My system info:

Ubuntu 18.0.4 (5.4.0-109-generic)
ROS melodic
NVIDIA GTX 950M (Compute capability (version) 5.0) Maxwell
Cuda 11.1.74
gcc 7.5.0
cmake version 3.10.2
ros-melodic-pcl-ros 1.7.4
eigen 3.3.4

---

Hello,
I'm trying to perform scan matching in hdl_graph_slam using CUDA, but right after the first call of void pcl::Registration<pcl::PointXYZI, pcl::PointXYZI>::align(pcl::PointCloud<pcl::PointXYZI> &output, const Eigen::Matrix4f &guess) I get this error:

terminate called after throwing an instance of 'thrust::system::system_error'
  what():  after reduction step 1: cudaErrorInvalidDeviceFunction: invalid device function

Any hint to get some insight about this?

[Gatsby23]

My system info:

Ubuntu 18.0.4 (5.4.0-109-generic) ROS melodic NVIDIA GTX 950M (Compute capability (version) 5.0) Maxwell Cuda 11.1.74 gcc 7.5.0 cmake version 3.10.2 ros-melodic-pcl-ros 1.7.4 eigen 3.3.4

Hello, I'm trying to perform scan matching in hdl_graph_slam using CUDA, but right after the first call of void pcl::Registration<pcl::PointXYZI, pcl::PointXYZI>::align(pcl::PointCloud<pcl::PointXYZI> &output, const Eigen::Matrix4f &guess) I get this error:

terminate called after throwing an instance of 'thrust::system::system_error'
  what():  after reduction step 1: cudaErrorInvalidDeviceFunction: invalid device function

Any hint to get some insight about this?

Sorry, I met the same problem as you. How to solve it, could you please help me with a more clearly command?

[KennyRotella]

hi @Gatsby23 I solved changing the nvcc compiler flag in CMakeLists.txt, I opened a pullrequest for this #92

[Gatsby23]

hi @Gatsby23 I solved changing the nvcc compiler flag in CMakeLists.txt, I opened a pullrequest for this #92

I changed like this. But I get this problem:
'''
nvcc fatal : Value 'native' is not defined for option 'gpu-architecture'
'''
I don't know what's wrong with it

[KennyRotella]

that's strange, what's your cuda version? try nvcc --version maybe this option does not apply to all cuda versions, mine now is 11.6.2, I updated it

[KennyRotella]

anyway what you should do, probably, is to tell your gpu computing capabilities to nvcc using some options before compiling. I used this to find the command https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/index.html#options-for-steering-gpu-code-generation-gpu-architecture

[Gatsby23]

that's strange, what's your cuda version? try nvcc --version maybe this option does not apply to all cuda versions, mine now is 11.6.2, I updated it

Sorry for that, my cuda is 11.2.

[KennyRotella]

that's strange, what's your cuda version? try nvcc --version maybe this option does not apply to all cuda versions, mine now is 11.6.2, I updated it

Sorry for that, my cuda is 11.2.

-gencode=arch=compute_xx,code=sm_xx where xx is your gpu compute capability in my case i have 5.0 and xx => 50

[NirvanaDragon]

that's strange, what's your cuda version? try nvcc --version maybe this option does not apply to all cuda versions, mine now is 11.6.2, I updated it

Sorry for that, my cuda is 11.2.

-gencode=arch=compute_xx,code=sm_xx where xx is your gpu compute capability in my case i have 5.0 and xx => 50

hello，I add "-gencode=arch=compute_xx,code=sm_xx" to CUDA_NVCC_FLAGS，but still meet this problem
terminate called after throwing an instance of 'thrust::system::system_error'
what(): for_each: failed to synchronize: cudaErrorIllegalAddress: an illegal memory access was encountered
Aborted (core dumped)
could you have other solutions, thanks