Can't determine number of cores. Unknown SM version 5.0!

[zhangxaochen]

I'm trying to build&run the project pcl_kinfu_app, building is OK, while running gets me the following error:

E:\AC++\l\p-m-6d0343d1b7\_b\bin> pcl_kinfu_app_debug.exe
[pcl::gpu::printShortCudaDeviceInfo] : Device 0:  "GeForce GTX 750 Ti"  2048Mb
Can't determine number of cores. Unknown SM version 5.0!
, sm_50, 0 cores, Driver/Runtime ver.6.50/6.50
Error: invalid device function  E:/ABOUT C++/libs/pcl-master-6d0343d1b7/gpu/kinfu/src
/cuda/tsdf_volume.cu:76

I googled but not found useful posts to solve this issue. Is that caused by my CUDA installation? Or because of my GTX 750 Ti architecture being MAXWELL?

I've found the code here: https://github.com/PointCloudLibrary/pcl/blob/master/gpu/containers/src/initialization.cpp

inline int convertSMVer2Cores(int major, int minor)
{
    // Defines for GPU Architecture types (using the SM version to determine the # of cores per SM
    typedef struct {
        int SM; // 0xMm (hexidecimal notation), M = SM Major version, and m = SM minor version
        int Cores;
    } SMtoCores;

    SMtoCores gpuArchCoresPerSM[] =  { { 0x10,  8 }, { 0x11,  8 }, { 0x12,  8 }, { 0x13,  8 }, { 0x20, 32 }, { 0x21, 48 }, {0x30, 192}, {0x35, 192}, { -1, -1 }  };

    int index = 0;
    while (gpuArchCoresPerSM[index].SM != -1) 
    {
        if (gpuArchCoresPerSM[index].SM == ((major << 4) + minor) ) 
            return gpuArchCoresPerSM[index].Cores;
        index++;
    }
    printf("\nCan't determine number of cores. Unknown SM version %d.%d!\n", major, minor);
    return 0;
}

Does that mean I should reinstall some other versions of CUDA?

[VictorLamoine]

Hello,

Here is a link description architectures / CUDA:
http://docs.nvidia.com/cuda/maxwell-compatibility-guide/index.html

The code was probably written to handle sm_30 architectures and not above.
It is not the version of CUDA but the architecture of your GPU that is a "problem" here.

You need to tweak:
if (gpuArchCoresPerSM[index].SM == ((major << 4) + minor) )

If you find a solution to this problem it would be nice to share it with by sending a pull request

Bye

[zhangxaochen]

@VictorLamoine I find my GTX 750TI has 5 SMs, each with 128 cores, so I added {0x50, 128} ahead of {-1, -1}, then the error Unknown SM version 5.0 is gone, yet the invalid device function is still there:

E:\AC++\l\p-m-6d0343d1b7\_b\bin> pcl_kinfu_app_debug.exe
[pcl::gpu::printShortCudaDeviceInfo] : Device 0:  "GeForce GTX 750 Ti"  2048Mb, sm_50
, 640 cores, Driver/Runtime ver.6.50/6.50
Error: invalid device function  E:/ABOUT C++/libs/pcl-master-6d0343d1b7/gpu/kinfu/src
/cuda/tsdf_volume.cu:76

[SteveSmithStyku]

Has there been any progress on this issue? I'm running into the same "invalid device function" issue in tsdf_volume.cu:76

I was previously able to compile in Visual Studio 2010 with CUDA 5.0 using the following cmake options:

CUDA_ARCH_BIN - 2.0 2.1(2.0) 3.0
CUDA_ARCH_PTX - 3.0

This allowed me to run kinfu on both Keppler and Maxwel GPUs.

However this is no longer working for me under Visual Studio 2013 and CUDA 6.5, and I get the run-time error "invalid device function", but only when attempting to run on a Maxwell GPU. It works fine on Keppler.

If I find out anything more I'll write it here. Thanks.

[tshimba]

Hi,

Do you have any progresses about this problem?
I got the same problem with you.

However if I build on Debug mode, the program works correctly, but I got the same error message 'Error: invalid device function' when I run the program built on Release mode.

It's looks strange behavior. I'm looking for the difference between release and debug on some settings (ex. cmake list), but still didn't find it.

I'm using
Windows 8.1
Visual Studio 2013
CUDA 6.5 with NVIDIA Quadro 4000
VTK 5.10
Boost 1.56.0
Eigen 3.2.2
FLANN 1.8.4
QHull 2012.1 for Windows

Thanks,

[MichaelKorn]

I get it working with Ubuntu 14.04 and a GTX 970:

• set CUDA_ARCH_BIN = 5.2
• set CUDA_ARCH_PTX = 5.2
• add {0x52, 128} in convertSMVer2Cores
• version 5.2 uses up to 255 registers per Thread, because of this I had to reduce the number of Threads in pcl::device::initVolume (dim3 block (16, 16);), otherwise I got "Error: too many resources requested for launch"

[ddetone]

I got KinFu working following MichaelKorn's steps with Ubuntu 14.04, GTX 980, CUDA 6.5 (using the special drivers for GTX9xx).

[Grandgarfield]

Hi,

If it may help, after searching a long time I managed to run the kinfu application with CUDA 6.5.
My OS is win7, and i'm using a laptop computer with nvidia 640M as GPU.
I had the same error in release mode and the application working fine in debug mode as f2um2326 described.
The problem seems to come from the /GL flag during compilation.
To make it work after generating the project files with cmake i manually removed the /GL flags in all .cmake files in : $(BUILD_DIR)\gpu\kinfu\CMakeFiles\cuda_compile.dir\src\cuda, there is a line setting CMAKE_HOST_FLAGS_RELEASE that is where i removed the flag.
This is no optimal solution since code is not properly optimized i guess but it may help some of you...

[QinZiwen]

I have gtx1070, cuda8.0, and have the same problem:

Device 0:  "GeForce GTX 1070"  8106Mb
Can't determine number of cores. Unknown SM version 6.1!
, sm_61, 0 cores, Driver/Runtime ver.8.0/8.0