Description
Description
possibly related to #285 although the suggested solution didn't work for me and it crashes instantly on my machine instead of taking a "long time" like detailed in the old issue. i left a comment on the original post but these two factors make it seem like a separate issue so im filing this as well. feel free to close if you think its a duplicate.
attempting to run any code examples causes STATUS_STACK_BUFFER_OVERRUN
.
i tried updating my drivers and cuda and i tried both the 10.x and 11.x arrayfire binaries to no avail. i also tried manually setting the back-end like in #285 but it didn't seem to fix anything; OpenCL, CUDA, and CPU all throw STATUS_STACK_BUFFER_OVERRUN. in fact it appears simply running set_backend
causes an overrun.
Reproducible Code and/or Steps
use arrayfire::{set_backend, Backend};
fn main() {
// attempting arrayfire::info() or any other arrayfire call causes the same issue
set_backend(Backend::CPU);
}
D:\Work\rust_playground>cargo run
Compiling rust_playground v0.1.0 (D:\Work\rust_playground)
Finished dev [unoptimized + debuginfo] target(s) in 2.67s
Running `target\debug\rust_playground.exe`
error: process didn't exit successfully: `target\debug\rust_playground.exe` (exit code: 0xc0000409, STATUS_STACK_BUFFER_OVERRUN)
System Information
- ArrayFire version 3.8.1
- i have an rtx3090 and an i9-11900k running on windows 10
- couldnt run
af::info
as it crashes with the same error
the download link for the cinfo binary seems to be down. heres nvidia-smi:
Fri Feb 4 02:19:12 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 511.65 Driver Version: 511.65 CUDA Version: 11.6 |
|-------------------------------+----------------------+----------------------+
| GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA GeForce ... WDDM | 00000000:01:00.0 On | N/A |
| 0% 49C P0 126W / 350W | 1056MiB / 24576MiB | 2% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 1580 C+G N/A |
| 0 N/A N/A 2872 C+G ...icrosoft VS Code\Code.exe N/A |
| 0 N/A N/A 5536 C+G N/A |
| 0 N/A N/A 6932 C+G ...kyb3d8bbwe\Calculator.exe N/A |
| 0 N/A N/A 7884 C+G C:\Windows\explorer.exe N/A |
| 0 N/A N/A 12184 C+G ...artMenuExperienceHost.exe N/A |
| 0 N/A N/A 12364 C+G ...ekyb3d8bbwe\YourPhone.exe N/A |
| 0 N/A N/A 12584 C+G ...5n1h2txyewy\SearchApp.exe N/A |
| 0 N/A N/A 13440 C+G ...4__htrsf667h5kn2\AWCC.exe N/A |
| 0 N/A N/A 14248 C+G ...ekyb3d8bbwe\HxOutlook.exe N/A |
| 0 N/A N/A 15588 C+G ...108.43\msedgewebview2.exe N/A |
| 0 N/A N/A 16044 C+G ...perience\NVIDIA Share.exe N/A |
| 0 N/A N/A 16160 C+G ...perience\NVIDIA Share.exe N/A |
| 0 N/A N/A 16676 C+G N/A |
| 0 N/A N/A 16712 C+G ...zilla Firefox\firefox.exe N/A |
| 0 N/A N/A 16968 C+G ...nputApp\TextInputHost.exe N/A |
| 0 N/A N/A 21680 C+G ...lack\app-4.23.0\slack.exe N/A |
| 0 N/A N/A 22944 C+G ...zilla Firefox\firefox.exe N/A |
| 0 N/A N/A 23416 C+G ...y\ShellExperienceHost.exe N/A |
| 0 N/A N/A 23752 C+G ...lPanel\SystemSettings.exe N/A |
+-----------------------------------------------------------------------------+
and heres AF_TRACE=all
[unified][1643970448][5736] [ ..\src\api\unified\symbol_manager.cpp(141) ] Attempting: Default System Paths
[unified][1643970448][5736] [ ..\src\api\unified\symbol_manager.cpp(144) ] Found: afcpu.dll
[unified][1643970448][5736] [ ..\src\api\unified\symbol_manager.cpp(151) ] Device Count: 1.
[unified][1643970448][5736] [ ..\src\api\unified\symbol_manager.cpp(141) ] Attempting: Default System Paths
[unified][1643970448][5736] [ ..\src\api\unified\symbol_manager.cpp(144) ] Found: afopencl.dll
[platform][1643970448][5736] [ ..\src\backend\common\DependencyModule.cpp(99) ] Attempting to load: forge.dll
[platform][1643970448][5736] [ ..\src\backend\common\DependencyModule.cpp(102) ] Found: forge.dll
[platform][1643970448][5736] [ ..\src\backend\opencl\device_manager.cpp(218) ] Found 3 OpenCL platforms
[platform][1643970448][5736] [ ..\src\backend\opencl\device_manager.cpp(230) ] Found 1 devices on platform NVIDIA CUDA
[platform][1643970448][5736] [ ..\src\backend\opencl\device_manager.cpp(235) ] Found device NVIDIA GeForce RTX 3090 on platform NVIDIA CUDA
[platform][1643970448][5736] [ ..\src\backend\opencl\device_manager.cpp(230) ] Found 1 devices on platform Intel(R) OpenCL
[platform][1643970448][5736] [ ..\src\backend\opencl\device_manager.cpp(235) ] Found device 11th Gen Intel(R) Core(TM) i9-11900K @ 3.50GHz on platform Intel(R) OpenCL
[platform][1643970448][5736] [ ..\src\backend\opencl\device_manager.cpp(230) ] Found 1 devices on platform Experimental OpenCL 2.1 CPU Only Platform
[platform][1643970448][5736] [ ..\src\backend\opencl\device_manager.cpp(235) ] Found device 11th Gen Intel(R) Core(TM) i9-11900K @ 3.50GHz on platform Experimental OpenCL 2.1 CPU Only Platform
[platform][1643970448][5736] [ ..\src\backend\opencl\device_manager.cpp(240) ] Found 3 OpenCL devices
error: process didn't exit successfully: `target\debug\rust_playground.exe` (exit code: 0xc0000409, STATUS_STACK_BUFFER_OVERRUN)
Checklist
- Using the latest available ArrayFire releaseGPU drivers are up to date
Activity
9prady9 commentedon Feb 12, 2022
There has been new upstream release - arrayfire 3.8.1 Can you please try with that version of library and let me know if you still have the issue. Thank you.
0rphon commentedon Feb 13, 2022
@9prady9 oops thats my bad, im already using 3.8.1 i just accidentally typed 3.8.0 instead when i was making the post. i edited it to have the correct version
9prady9 commentedon Feb 19, 2022
That is interesting, can you please try running any of the cuda examples - https://github.com/NVIDIA/cuda-samples and see if you are able to run those. It is a C/C++ project, but it shouldn't be hard if you have cuda toolkit already installed. You can follow their instructions from this section - https://github.com/NVIDIA/cuda-samples#building-cuda-samples
0rphon commentedon Feb 23, 2022
@9prady9 ran the vectorAdd example and it seems to have worked fine