how do I get that? I am on fedora linux
It looks like you have a POCL installed?
Someone on another thread pointed out that F@H only works when there’s one, and only one entry in clinfo. Try uninstalling your other opencl provider.
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how do I uninstall it?
I don’t even know how to list all open cl installations
Oh yeah Fedora. Try running it explicitly with “python2 /usr/bin/FAHControl”
python2 /usr/bin/FAHControl
Traceback (most recent call last):
File "/usr/bin/FAHControl", line 25, in <module>
from fah import FAHControl, load_fahcontrol_db
ImportError: No module named fah
Ugh. I feel your pain. I had a similar problem, even though I am not on Fedora. They haven’t updated the fahcontrol in quite a while. That’s why I gave up and went to a remote machine to control it.
I suppose an alternative is to edit the config.xml file. Mine is in /etc/fahclient/config.xml although yours may be different.
Do you have a line like: <gpu v='true'/> in your config file? If not, try adding it and restart the fahclient service or just rebooting. It might be worth a try.
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clinfo will list all the OpenCL Info.
I think if you’re on Fedora dnf remove pocl will remove the Portable OpenCL package. Then you should be left with only the Nvidia.
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Again, not much help, but on MANJARO I had to download not only the drivers “opencl-nvidia-440x” but also the “opencl-headers”
Here is link to ARCHwiki entry on F@H:
https://wiki.archlinux.org/index.php/folding@home
You might spot something there rings a bell with Fedora
Good luck!
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<config>
<!-- Slot Control -->
<power v='FULL'/>
<gpu v='true'/>
<!-- User Information -->
<passkey v='mypascode'/>
<team v='level1'/>
<user v='myname'/>
<!-- Folding Slots -->
<slot id='0' type='CPU'/>
<slot id='1' type='GPU'/>
</config>
clinfo
Number of platforms 2
Platform Name NVIDIA CUDA
Platform Vendor NVIDIA Corporation
Platform Version OpenCL 1.2 CUDA 10.2.159
Platform Profile FULL_PROFILE
Platform Extensions cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_copy_opts cl_nv_create_buffer cl_khr_int64_base_atomics cl_khr_int64_extended_atomics
Platform Extensions function suffix NV
Platform Name Clover
Platform Vendor Mesa
Platform Version OpenCL 1.1 Mesa 19.2.8
Platform Profile FULL_PROFILE
Platform Extensions cl_khr_icd
Platform Extensions function suffix MESA
Platform Name NVIDIA CUDA
Number of devices 1
Device Name GeForce RTX 2070
Device Vendor NVIDIA Corporation
Device Vendor ID 0x10de
Device Version OpenCL 1.2 CUDA
Driver Version 440.82
Device OpenCL C Version OpenCL C 1.2
Device Type GPU
Device Topology (NV) PCI-E, 26:00.0
Device Profile FULL_PROFILE
Device Available Yes
Compiler Available Yes
Linker Available Yes
Max compute units 36
Max clock frequency 1620MHz
Compute Capability (NV) 7.5
Device Partition (core)
Max number of sub-devices 1
Supported partition types None
Supported affinity domains (n/a)
Max work item dimensions 3
Max work item sizes 1024x1024x64
Max work group size 1024
Preferred work group size multiple 32
Warp size (NV) 32
Preferred / native vector sizes
char 1 / 1
short 1 / 1
int 1 / 1
long 1 / 1
half 0 / 0 (n/a)
float 1 / 1
double 1 / 1 (cl_khr_fp64)
Half-precision Floating-point support (n/a)
Single-precision Floating-point support (core)
Denormals Yes
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add Yes
Support is emulated in software No
Correctly-rounded divide and sqrt operations Yes
Double-precision Floating-point support (cl_khr_fp64)
Denormals Yes
Infinity and NANs Yes
Round to nearest Yes
Round to zero Yes
Round to infinity Yes
IEEE754-2008 fused multiply-add Yes
Support is emulated in software No
Address bits 64, Little-Endian
Global memory size 8366784512 (7.792GiB)
Error Correction support No
Max memory allocation 2091696128 (1.948GiB)
Unified memory for Host and Device No
Integrated memory (NV) No
Minimum alignment for any data type 128 bytes
Alignment of base address 4096 bits (512 bytes)
Global Memory cache type Read/Write
Global Memory cache size 1179648 (1.125MiB)
Global Memory cache line size 128 bytes
Image support Yes
Max number of samplers per kernel 32
Max size for 1D images from buffer 268435456 pixels
Max 1D or 2D image array size 2048 images
Max 2D image size 32768x32768 pixels
Max 3D image size 16384x16384x16384 pixels
Max number of read image args 256
Max number of write image args 32
Local memory type Local
Local memory size 49152 (48KiB)
Registers per block (NV) 65536
Max number of constant args 9
Max constant buffer size 65536 (64KiB)
Max size of kernel argument 4352 (4.25KiB)
Queue properties
Out-of-order execution Yes
Profiling Yes
Prefer user sync for interop No
Profiling timer resolution 1000ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels No
Kernel execution timeout (NV) Yes
Concurrent copy and kernel execution (NV) Yes
Number of async copy engines 3
printf() buffer size 1048576 (1024KiB)
Built-in kernels (n/a)
Device Extensions cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_fp64 cl_khr_byte_addressable_store cl_khr_icd cl_khr_gl_sharing cl_nv_compiler_options cl_nv_device_attribute_query cl_nv_pragma_unroll cl_nv_copy_opts cl_nv_create_buffer cl_khr_int64_base_atomics cl_khr_int64_extended_atomics
Platform Name Clover
Number of devices 0
NULL platform behavior
clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) NVIDIA CUDA
clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) Success [NV]
clCreateContext(NULL, ...) [default] Success [NV]
clCreateContext(NULL, ...) [other] ����(V
clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) No platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) Invalid device type for platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) No platform
ICD loader properties
ICD loader Name OpenCL ICD Loader
ICD loader Vendor OCL Icd free software
ICD loader Version 2.2.12
ICD loader Profile OpenCL 2.2
running in terminal
FAHClient
04:07:05:INFO(1):Read GPUs.txt
04:07:06:Removing old file 'logs/log-20200412-020427.txt'
04:07:06:************************* Folding@home Client *************************
04:07:06: Website: https://foldingathome.org/
04:07:06: Copyright: (c) 2009-2018 foldingathome.org
04:07:06: Author: Joseph Coffland <[email protected]>
04:07:06: Args:
04:07:06: Config: /home/bedhedd/config.xml
04:07:06:******************************** Build ********************************
04:07:06: Version: 7.5.1
04:07:06: Date: May 12 2018
04:07:06: Time: 22:51:07
04:07:06: Repository: Git
04:07:06: Revision: 4705bf53c635f88b8fe85af7675557e15d491ff0
04:07:06: Branch: master
04:07:06: Compiler: GNU 4.4.7 20120313 (Red Hat 4.4.7-18)
04:07:06: Options: -std=gnu++98 -O3 -funroll-loops
04:07:06: Platform: linux2 4.14.0-3-amd64
04:07:06: Bits: 64
04:07:06: Mode: Release
04:07:06:******************************* System ********************************
04:07:06: CPU: AMD Ryzen 7 2700X Eight-Core Processor
04:07:06: CPU ID: AuthenticAMD Family 23 Model 8 Stepping 2
04:07:06: CPUs: 16
04:07:06: Memory: 15.64GiB
04:07:06: Free Memory: 9.84GiB
04:07:06: Threads: POSIX_THREADS
04:07:06: OS Version: 5.6
04:07:06: Has Battery: false
04:07:06: On Battery: false
04:07:06: UTC Offset: -5
04:07:06: PID: 5452
04:07:06: CWD: /home/bedhedd
04:07:06: OS: Linux 5.6.13-200.fc31.x86_64 x86_64
04:07:06: OS Arch: AMD64
04:07:06: GPUs: 1
04:07:06: GPU 0: Bus:38 Slot:0 Func:0 NVIDIA:7 TU106 [GeForce RTX 2070] M 6497
04:07:06:CUDA Device 0: Platform:0 Device:0 Bus:38 Slot:0 Compute:7.5 Driver:10.2
04:07:06: OpenCL: Not detected: clGetDeviceIDs() returned -1
04:07:06:***********************************************************************
04:07:06:<config>
04:07:06: <!-- Slot Control -->
04:07:06: <power v='FULL'/>
04:07:06:
04:07:06: <!-- User Information -->
04:07:06: <passkey v='********************************'/>
04:07:06: <team v='232084'/>
04:07:06: <user v='BedHedd'/>
04:07:06:
04:07:06: <!-- Folding Slots -->
04:07:06: <slot id='0' type='CPU'/>
04:07:06: <slot id='1' type='GPU'/>
04:07:06:</config>
04:07:06:Trying to access database...
04:07:06:Successfully acquired database lock
04:07:06:Enabled folding slot 00: READY cpu:15
04:07:06:Enabled folding slot 01: READY gpu:0:TU106 [GeForce RTX 2070] M 6497
04:07:06:ERROR:Exception: Could not bind socket to 0.0.0.0:7396: Address already in use
04:07:06:ERROR:Exception: Could not bind socket to 0.0.0.0:36330: Address already in use
04:07:06:WU00:FS00:Starting
04:07:06:WU00:FS00:Running FahCore: /usr/bin/FAHCoreWrapper /home/bedhedd/cores/cores.foldingathome.org/v7/lin/64bit/avx/Core_a7.fah/FahCore_a7 -dir 00 -suffix 01 -version 705 -lifeline 5452 -checkpoint 15 -np 15
04:07:06:WU00:FS00:Started FahCore on PID 5478
04:07:06:WU00:FS00:Core PID:5482
04:07:06:WU00:FS00:FahCore 0xa7 started
04:07:06:WU01:FS01:Connecting to 65.254.110.245:8080
04:07:06:WARNING:WU01:FS01:Failed to get assignment from '65.254.110.245:8080': No WUs available for this configuration
04:07:06:WU01:FS01:Connecting to 18.218.241.186:80
04:07:06:WU01:FS01:Assigned to work server 3.133.76.19
04:07:06:WU01:FS01:Requesting new work unit for slot 01: READY gpu:0:TU106 [GeForce RTX 2070] M 6497 from 3.133.76.19
04:07:06:WU01:FS01:Connecting to 3.133.76.19:8080
04:07:06:WU00:FS00:0xa7:*********************** Log Started 2020-05-28T04:07:06Z ***********************
04:07:06:WU00:FS00:0xa7:************************** Gromacs Folding@home Core ***************************
04:07:06:WU00:FS00:0xa7: Type: 0xa7
04:07:06:WU00:FS00:0xa7: Core: Gromacs
04:07:06:WU00:FS00:0xa7: Args: -dir 00 -suffix 01 -version 705 -lifeline 5478 -checkpoint 15 -np
04:07:06:WU00:FS00:0xa7: 15
04:07:06:WU00:FS00:0xa7:************************************ CBang *************************************
04:07:06:WU00:FS00:0xa7: Date: Nov 5 2019
04:07:06:WU00:FS00:0xa7: Time: 06:06:57
04:07:06:WU00:FS00:0xa7: Revision: 46c96f1aa8419571d83f3e63f9c99a0d602f6da9
04:07:06:WU00:FS00:0xa7: Branch: master
04:07:06:WU00:FS00:0xa7: Compiler: GNU 8.3.0
04:07:06:WU00:FS00:0xa7: Options: -std=c++11 -O3 -funroll-loops -fno-pie -fPIC
04:07:06:WU00:FS00:0xa7: Platform: linux2 4.19.0-5-amd64
04:07:06:WU00:FS00:0xa7: Bits: 64
04:07:06:WU00:FS00:0xa7: Mode: Release
04:07:06:WU00:FS00:0xa7:************************************ System ************************************
04:07:06:WU00:FS00:0xa7: CPU: AMD Ryzen 7 2700X Eight-Core Processor
04:07:06:WU00:FS00:0xa7: CPU ID: AuthenticAMD Family 23 Model 8 Stepping 2
04:07:06:WU00:FS00:0xa7: CPUs: 16
04:07:06:WU00:FS00:0xa7: Memory: 15.64GiB
04:07:06:WU00:FS00:0xa7:Free Memory: 9.82GiB
04:07:06:WU00:FS00:0xa7: Threads: POSIX_THREADS
04:07:06:WU00:FS00:0xa7: OS Version: 5.6
04:07:06:WU00:FS00:0xa7:Has Battery: false
04:07:06:WU00:FS00:0xa7: On Battery: false
04:07:06:WU00:FS00:0xa7: UTC Offset: -5
04:07:06:WU00:FS00:0xa7: PID: 5482
04:07:06:WU00:FS00:0xa7: CWD: /home/bedhedd/work
04:07:06:WU00:FS00:0xa7:******************************** Build - libFAH ********************************
04:07:06:WU00:FS00:0xa7: Version: 0.0.18
04:07:06:WU00:FS00:0xa7: Author: Joseph Coffland <[email protected]>
04:07:06:WU00:FS00:0xa7: Copyright: 2019 foldingathome.org
04:07:06:WU00:FS00:0xa7: Homepage: https://foldingathome.org/
04:07:06:WU00:FS00:0xa7: Date: Nov 5 2019
04:07:06:WU00:FS00:0xa7: Time: 06:13:26
04:07:06:WU00:FS00:0xa7: Revision: 490c9aa2957b725af319379424d5c5cb36efb656
04:07:06:WU00:FS00:0xa7: Branch: master
04:07:06:WU00:FS00:0xa7: Compiler: GNU 8.3.0
04:07:06:WU00:FS00:0xa7: Options: -std=c++11 -O3 -funroll-loops -fno-pie
04:07:06:WU00:FS00:0xa7: Platform: linux2 4.19.0-5-amd64
04:07:06:WU00:FS00:0xa7: Bits: 64
04:07:06:WU00:FS00:0xa7: Mode: Release
04:07:06:WU00:FS00:0xa7:************************************ Build *************************************
04:07:06:WU00:FS00:0xa7: SIMD: avx_256
04:07:06:WU00:FS00:0xa7:********************************************************************************
04:07:06:WU00:FS00:0xa7:Project: 16806 (Run 15, Clone 500, Gen 8)
04:07:06:WU00:FS00:0xa7:Unit: 0x0000000a82ed0b915eb41a34da56d2e0
04:07:06:WU00:FS00:0xa7:Digital signatures verified
04:07:06:WU00:FS00:0xa7:Calling: mdrun -s frame8.tpr -o frame8.trr -cpi state.cpt -cpt 15 -nt 15
04:07:06:WU00:FS00:0xa7:Steps: first=4000000 total=500000
04:07:08:WU00:FS00:0xa7:Completed 315367 out of 500000 steps (63%)
I dunno what this bind socket means
I wonder if it is opencl again @zlynx because it keeps spiting out opencl device issues
04:08:20:WU01:FS01:Received Unit: id:01 state:DOWNLOAD error:NO_ERROR project:14440 run:0 clone:741 gen:35 core:0x22 unit:0x0000003503854c135ea0a30138b78104
04:08:20:WU01:FS01:Starting
04:08:20:ERROR:WU01:FS01:Failed to start core: OpenCL device matching slot 1 not found, try setting 'opencl-index' manually
04:08:20:WU01:FS01:Starting
04:08:20:ERROR:WU01:FS01:Failed to start core: OpenCL device matching slot 1 not found, try setting 'opencl-index' manually
04:09:20:WU01:FS01:Starting
04:09:20:ERROR:WU01:FS01:Failed to start core: OpenCL device matching slot 1 not found, try setting 'opencl-index' manually
04:10:57:WU01:FS01:Starting
04:10:57:ERROR:WU01:FS01:Failed to start core: OpenCL device matching slot 1 not found, try setting 'opencl-index' manually
04:11:46:WU00:FS00:0xa7:Completed 320000 out of 500000 steps (64%)
04:13:34:WU01:FS01:Starting
04:13:34:ERROR:WU01:FS01:Failed to start core: OpenCL device matching slot 1 not found, try setting 'opencl-index' manually
https://wiki.archlinux.org/index.php/GPGPU#NVIDIA
looking over the openCl page, there are two versions on arch, OpenCl Runtime, and OpenCl ICD loader (libOpenCL.so)
in my config it looks like I have the ICD Loader, when I really need the Fedora equivalent of opencl-nvidia from the arch wiki
I think I need help figuring out which opencl package I need. @zlynx what open cl package did you use for your fedora configuration?
I’m not using any Nvidia / Linux combinations. All Linux machines are running AMD Vegas.
I had to use the AMD Pro drivers and the ROCm OpenCL from those.
The ICD loader didn’t cause a problem, other than having more than one provider installed had a problem.
so with my openCl configuration, how many providers do I have?
FAH keeps saying my openCl is not detected, what do I search for to find the right packages. I am hitting a wall with finding people with similar setups to mine
It looked like two.
Try ls -l /etc/OpenCL/vendors/
That’s the configuration file the OpenCL ICD loader reads to find OpenCL providers. Then maybe you can do rpm -qf /etc/OpenCL/vendors/mesa.icd or rpm -qf /etc/OpenCL/vendors/pocl.icd, for example, to find what RPM installed what provider.
1 Like
Aha! Because it was an acronym, I missed that I also had to install “ocl-icd” on Manjaro.
It’s on Github:
Good luck
1 Like
ls -l /etc/OpenCL/vendors/
total 8
-rw-r--r--. 1 root root 19 Dec 18 15:58 mesa.icd
-rw-r--r--. 1 root root 22 Mar 8 16:09 nvidia.icd
rpm -qf /etc/OpenCL/vendors/mesa.icd
mesa-libOpenCL-19.2.8-1.fc31.x86_64
rpm -qf /etc/OpenCL/vendors/nvidia.icd
xorg-x11-drv-nvidia-cuda-440.82-1.fc31.x86_64
should I remove the mesa open-cl?
Give it a try at least.
1 Like
Figured it out, going to mark this post as the solution!
The issue was the conflicting OpenCL libraries, I had installed. The toughest part of setting this up was figuring out what was broken. If you have similar issues to this viewing the outputs of FAHClient from terminal the terminal would help solve this issue. The types of OpenCL errors as seen below.
OpenCL: Not detected: clGetDeviceIDs() returned -1
this error I think combined with the other errors I think helped people determine my OpenCL was the issue.
Failed to start core: OpenCL device matching slot 1 not found, try setting 'opencl-index' manually
looking online for this error gave prompted either no results or results that were for different issues
Once we figured out it was a OpenCL was causing the issues, it was a matter of figuring out which were the specific packages
Turns out it was a issue with the mesa-libOpenCL, which was when installed Dec 18, when I installed the nvidia drivers from someone else’s packages instead of nvidia’s official packages.
running sudo dnf remove mesa-libOpenCL in the terminal uninstalled the mesa OpenCL libraries. Once I uninstalled the mesa OpenCL library, FAH automatically started folding on my nvidia 2070
If you have issues installing nvidia graphics drivers on fedora, try the installation guide from the fedora magazine
If you have issues installing cuda libraries on fedora try the installation guide from the wiki
https://fedoraproject.org/wiki/Cuda
https://rpmfusion.org/Howto/CUDA
I used the wiki guide when I installed the OpenCL packages
Massive thanks to @zlynx for helping me figure out how to interpret the output of clinfo from the terminal and which the OpenCL library was causing the errors.
Hopefully someone will find this post when searching for similar outputs
5 Likes
This will be very relevant considering that modern distros are far enough ahead of the legacy codebase that new users wanting to contribute will fall victim to this gotcha. Thanks for your tenacity in the wake of this issue!
1 Like
Bravo, BedHedd! Good on ya sticking with things and figuring it out.
I’m impressed! 
1 Like