clinfo detects CPU and one other device but it does not detect intel GPU.
(py36) root#933ec02aa577:/home/user# clinfo -l
Platform #0: Intel(R) OpenCL
`-- Device #0: Genuine Intel(R) CPU $0000%#
Platform #1: Intel(R) FPGA Emulation Platform for OpenCL(TM)
`-- Device #0: Intel(R) FPGA Emulation Device
(py36) root#933ec02aa577:/home/user#
I have added user to video group, installed drivers mentioned here but still not able to detect Intel GPU https://dgpu-docs.intel.com/installation-guides/ubuntu/ubuntu-focal.html
what am I missing?
[Edit - Thank to Peter Cordes for pointing out, correcting my answer]
Able to resolve the this. Apparently root cause was incorrect drivers were installed. Reinstalling drivers fixed this issues.
As Peter Cordes, pointing out in comments. I verified that root user do not need to be added in video or render group. It is required if you are running as a non root user.
Related
I'm using an Asus Chromebook with a CPU(I think).
This is what the Error says:
Warning: Could not find a matching GPU name. Things may not behave as expected.
Detected OpenGL configuration:
Vendor: Red Hat
Renderer: virgl
/run/user/1000/gvfs/ non-existent directory
found bundled python: /home/sekhong5417/blender/2.90/python
This works on my Friend's Chromebook who has a GPU.
Also I am kinda young so I can't replace anything or buy a new device.
There are images at the bottom
If anyone still runs into this issue, there is an incompatibility with Blender and Intel ChromeOS GPU drivers.
See https://developer.blender.org/T77651#1172666 for more details and an updated working build of v2.93.
Hopefully, the fix gets included in the next release.
I use Acer Chromebook spin 13 and I just met the same issue with you. I think it is maybe the Debian within Chromebook don't have the driver that matches the Intel GPU. My Chromebook uses Intel HD graphics 620. I tried many ways to install the driver but they all failed. Linux works easier with Nvidia GPU though. So my idea is you can try to find intel a drive which matches your Graphic card and try again.
According to this Vulkan tutorial, I can use vkEnumeratePhysicalDevices to get a list of available GPUs. However, I don't see my external NVIDIA GPU in there, only my Intel iGPU.
This eGPU is connected via Thunderbolt and is running CUDA code just fine. Is there anything I might have missed? Is it supposed to work out of the box?
My machine is running Arch Linux with up-to-date proprietary NVIDIA drivers.
The eGPU is a NVIDIA GTX 1050 (Lenovo Graphics Dock). Is it possible that it just does not support Vulkan somehow?
Vulkan support should work just as well with external GPUs (eGPUs). Seeing the eGPU enumerated as a Vulkan device may require the eGPU to be recoznized by Xorg (or Wayland in the future).
See recently created https://wiki.archlinux.org/title/External_GPU#Xorg for changes probably required in Xorg config.
I would like to enable OpenCL for GPU Computing on my laptop.
Its specs are the following:
OS: Manjaro ( Archlinux )
CPU / GPU: Core-i7 4600U / Intel Graphics 4400
I'm really new to this. What I did so far is to install all required dependencies as described here including:
intel-opencl
ocl-icd
clinfo
Executing clinfo returns the following output:
Number of platforms 1
Platform Name Intel(R) OpenCL
Platform Vendor Intel(R) Corporation
Platform Version OpenCL 1.2
Platform Profile FULL_PROFILE
Platform Extensions cl_khr_3d_image_writes cl_khr_byte_addressable_store cl_khr_depth_images cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_icd cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_spir
Platform Extensions function suffix INTEL
Platform Name Intel(R) OpenCL
Number of devices 2
Device Name Intel(R) HD Graphics
Device Vendor Intel(R) Corporation
Device Vendor ID 0x8086
Device Version OpenCL 1.2
Driver Version r5.0.63503
Device OpenCL C Version OpenCL C 1.2
Device Type GPU
Device Profile FULL_PROFILE
Device Available Yes
Compiler Available Yes
Linker Available Yes
Max compute units 20
Max clock frequency 1100MHz
Device Partition (core)
Max number of sub-devices 0
Supported partition types by <unknown> (0x563e00000000)
Supported affinity domains (n/a)
Max work item dimensions 3
Max work item sizes 256x256x256
Max work group size 256
Speicherzugriffsfehler (Speicherabzug geschrieben)
Please notice the last line. I'm on a german working station so the last line stating a memory access error. I don't know how to fix it. Any advices would be really nice. Thanks in advance :-)
EDIT:
The exactly error message in english is:
segmentation error
Maybe that helps for further solutions...
It usually means some inconsistency between various pieces of hardware/software on your box. You have one platform (which is normal) with two devices - the first device has GPU type, but the clinfo couldn't request info about second device, which is probably your CPU.
I think you should develop a number of simple C/C++ programs to mimic what the clinfo does. It'll be very educational - anyway it's a first step any OpenCL program begin from. Use Khronos online manual:
clGetPlatformIds - to get list of platforms
clGetPlatformInfo - to request info about a platform
clDeviceIds - to get list of devices for a particular platform
clGetDeviceInfo - to request info about a device
and so on...
Hopefully, it will help you.
TensorFlow fails to use nvidia card though nvidia driver, cuda toolkit, cudnn installed and configured.
One thing that I suspect is the reason is the nvidia card on my laptop is connected to pci as 3d controller instead of VGA:
00:02.0 VGA compatible controller: Intel Corporation Sky Lake Integrated Graphics (rev 07)
Subsystem: ASUSTeK Computer Inc. Skylake Integrated Graphics
Kernel driver in use: i915_bpo
01:00.0 3D controller: NVIDIA Corporation GK208M [GeForce 920M] (rev a1)
Subsystem: ASUSTeK Computer Inc. GK208M [GeForce 920M]
Kernel modules: nvidiafb, nouveau, nvidia_304
Even the Nvidia xserver settings don't see the GPU:
Is this true that tensorflow can only use the graphic card as VGA?
After three month, I finally figured out even first what the issue is and resolved it. It turned out to be a nvidia issue with Secure Boot.
Feel obliged to thank jorgemf and Yao Zhang for your help at a time I couldn't even good articulate the problem.
Meanwhile I hope my case can help other people having a same problem.
All started with my attempt to install nvidia driver again today. The installation seemed successful but in the end, it says,
Unable to load the “nvidia-drm” kernel module.
So I thought maybe I could manually load the kernel with
modprobe mvidia-drm
but got an error says something like "required key not applicable". Wonder what that meant so googled a bit. It turned out to be application not registered! So that module has been stopped by Secure Boot!
Went back to boot settings and disabled secure boot. Installed nvidia driver again, successful! Now in Nvidia settings it looks like this:
See now the gpu device shows there.
Head further to install cuda and cudnn. Found this github gist super useful: https://gist.github.com/wangruohui/df039f0dc434d6486f5d4d098aa52d07
Last step, just followed the installation on Tensorflow home page. Tested it did run on GPU!
The take-home message is if you fail to install Nvidia driver on linux system, you probably need to disable Secure Boot. Personal opinion, Windows turned this good idea into a nightmare for linux users!
I'm new to Adobe Premiere and GPU acceleration. I started to follow simple tutorial on editing video with Premiere Pro CC that I had "Stopped Working" error after seconds when I hovered on my video or dragged it. Found that problem is because of OpenCL. So I put my settings to "Software Only" to have just CPU rendering.
My hardware and software:
HP ProBook 450 G1
Microsoft Windows 8.1 X64
AMD Radeon 8600/8700M
14.12 AMD Catalyst Omega Software
Intel HD 4600
AMD APP SDK 2.9
Microsoft Visual Studio Ultimate 2013
(For web developing. I'm not a CPP programmer.)
Adobe Premiere Pro CC
I used GPU-Z to have details about my AMD GPU and I saw that OpenCL is disabled and other one (Intel) is enabled.
Image
So I used /program files/adobe/adobe premiere pro cc/gpusniffer.exe and this is the output:
Found 2 devices supporting GPU computation.
OpenCL Device 0 -
Name: Intel(R) HD Graphics 4600
Vendor: Intel
Capability: 1.2
Driver: 1.2
Total Video Memory: 1348MB
* Not enabled by default because it did not match the named list of cards.
OpenCL Device 1 -
Name: Oland
Vendor: AMD
Capability: 2
Driver: 1.2
Total Video Memory: 2048MB
I read all the docs of APP SDK but I didn't find anything except this one:
Output of /windows/system32/clinfo.exe
Compiler available: Yes
Execution capabilities:
Execute OpenCL kernels: Yes
Execute native function: No
Queue properties:
Out-of-Order: No
Profiling : Yes
Platform ID: 00007FFBA45D6B60
Name: Oland
Vendor: Advanced Micro Devices, Inc.
Device OpenCL C version: OpenCL C 1.2
Driver version: 1642.5 (VM)
Profile: FULL_PROFILE
Version: OpenCL 1.2 AMD-APP (1642.5)
What should I do in order to enable OpenCL in GPU-Z for my AMD Radeon GPU?
Thanks.
After two weeks Googling for my problem I found my answer in playing with regedit.
To have fun with OpenCL on Windows 8.1 and AMD Radeon we must do these:
Only use AMD Catalyst Control Center downloaded from AMD official website. (For me, installer downloaded from HP Support Center didn't work. I think because it didn't contains some packages.)
Download and install AMD APP SDK from AMD Developers official website.
Go to C:\Program Files (x86)\AMD APP SDK\2.9\bin. (It will be different based on your version.)
Copy and replace files from x86 folder (OpenCL.dll and amdocl.dll) to C:\Windows\SysWOW64.
Copy and replace files from x86_64 folder (OpenCL.dll and amdocl64.dll) to C:\Windows\System32.
Note: OpenCL.dll files are different with each other. Pay attention.
Open Start and type regedit in search or RUN.
Go to Computer\HKEY_LOCAL_MACHINE\SOFTWARE\Khronos\OpenCL\Vendors\.
Add amdocl64.dll as DWORD (32-bit) Value. (Do not edit it after creation!)
Navigate to Computer\HKEY_LOCAL_MACHINE\SOFTWARE\Wow6432Node\Khronos\OpenCL\Vendors\.
Add amdocl.dll as DWORD (32-bit) Value.
Restart windows (Because of Catalyst) and start Catalyst.
In Premiere go to File -> Project Settings -> General -> Video Rendering and Playback and set Renderer to Mercury Playback Engine GPU Acceleration (OpenCL).
Note: In Registry Editor, 0 means true (enabled) and 1 means false (disabled) for OpenCL.
Note: regedit must run as administrator.
Done! Adobe Premiere Pro CC works fast and fine. Note: GPU-Z will not show OpenCL enabled. I think because its old version.
Image