-
Notifications
You must be signed in to change notification settings - Fork 99
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
GPU 0: no kernel image is available for execution on the device #159
Comments
Tried recompiling, this is the output: cmake3 -DCUDA_ARCH=60;61;62 . Don't know what the last two lines refer to. Or if it even is a problem. Then: make install Scanning dependencies of target xmr-stak-nvidiaCuda |
Saw I made a mistake with CUDA_ARCH flag. cmake3 -DCUDA_ARCH=50 . Note that the errors: are gone. But it will still not launch. |
K610M is sm_35. see https://developer.nvidia.com/cuda-gpus
This means you need cmake -DCUDA_ARCH=35
|
Thank you, that solved it for me. Sorry for any trouble caused. |
Thanks for this @hanserasmus, I was getting the same errors but for a different machine now I know what's up |
I have the same issue but on Window. Tried CUDA 8 and CUDA 9. |
I have got same problem using my nvdia gtx 560ti. I am using windows 10 and awesome miner as program. |
@psddp @VITALFORCE47 Try |
I have a nvdia gtx 560ti too, and it seems to be sm_21 ... (from https://developer.nvidia.com/cuda-gpus) With CUDA 9.1, I get a this error: "nvcc fatal : Unsupported gpu architecture 'compute_21' ". Which CUDA version would work? EDIT: Got it! http://arnon.dk/matching-sm-architectures-arch-and-gencode-for-various-nvidia-cards/ CUDA 8 seems to be the one! (deprecated from CUDA 9) |
you must compile https://github.com/fireice-uk/xmr-stak/releases with cuda
8. Our binaries requires cuda 9.0 for windows and cuda 9.2 for linux
precompiled binaries. Both will not support old fermi gpus
|
I'll give it a try :) thanks |
@Nik-Lz |
Hello I am facing the same issue. Below is the error log RuntimeError: cuda runtime error (48) : no kernel image is available for execution on the device at /pytorch/torch/lib/THCUNN/generic/SpatialDilatedMaxPooling.cu:152 I have a ubuntu 16.04, cuda 10, nvidia 410.79, gpu card Q1000 M compute capability 5.0. nvidia-docker2 installed. Please help me |
Bro how to do this all in windows, I'm having the same issue |
Hi Guys
I have built a new install on a notebook with a K610M GPU. Running CentOS7.4.
01:00.0 VGA compatible controller: NVIDIA Corporation GK208GLM [Quadro K610M] (rev a1)
No errors were seen during the install or build, and I get a basic config to insert into my config.txt, but upon launching the program (as root) I get the following output:
`XMR-Stak-NVIDIA mining software, NVIDIA Version.
NVIDIA mining code was written by KlausT and psychocrypt.
Brought to you by fireice_uk under GPLv3.
Configurable dev donation level is set to 1.0 %
You can use following keys to display reports:
'h' - hashrate
'r' - results
'c' - connection
[2017-10-17 11:59:43] : Connecting to pool pool.minemonero.pro:80 ...
[2017-10-17 11:59:44] : Connected. Logging in...
[2017-10-17 11:59:44] : Difficulty changed. Now: 5000.
[2017-10-17 11:59:44] : New block detected.
GPU 0: no kernel image is available for execution on the device
/opt/monero/xmr-stak-nvidia/nvcc_code/cuda_extra.cu line 226`
All drivers were successfully installed.
Using CUDA 9.
Any ideas would be welcome!
The text was updated successfully, but these errors were encountered: