I have a problem when installing zabbix as follows. Can someone please point me in the direction how to fix this
dnf install zabbix-server-pgsql zabbix-web-pgsql zabbix-apache-conf zabbix-sql-scripts zabbix-agent
Extra Packages for Enterprise Linux 8 - x86_64 891 kB/s | 10 MB 00:11
Zabbix Official Repository - x86_64 19 kB/s | 29 kB 00:01
CentOS Linux 8 - BaseOS 246 kB/s | 2.6 MB 00:10
Extra Packages for Enterprise Linux Modular 8 - x86_64 429 kB/s | 663 kB 00:01
Zabbix Official Repository non-supported - x86_64 993 B/s | 1.2 kB 00:01
CentOS Linux 8 - AppStream 316 kB/s | 7.5 MB 00:24
CentOS Linux 8 - Extras 18 kB/s | 9.6 kB 00:00
Error:
Problem: conflicting requests
- package zabbix-server-pgsql-5.4.0-8.el8.x86_64 requires libodbc.so.2()(64bit), but none of the providers can be installed
- package zabbix-server-pgsql-5.4.1-1.el8.x86_64 requires libodbc.so.2()(64bit), but none of the providers can be installed
- package unixODBC-2.3.7-1.el8.x86_64 requires libreadline.so.7()(64bit), but none of the providers can be installed
- cannot install both readline-7.0-10.el8.x86_64 and readline-6.2-11.el7.x86_64
- package python-libs-2.7.5-90.el7.x86_64 requires libreadline.so.6()(64bit), but none of the providers can be installed
- problem with installed package python-libs-2.7.5-90.el7.x86_64
I resolved this by reinstalling the Centos 8 from scratch
Related
linux kernel 5.15 comes with new ntfs3 driver, I'm on fedora 34 with kernel 5.15.6, but when I mount a device using ntfs3, it reports error:
# uname -a
Linux fedora 5.15.6-100.fc34.x86_64 #1 SMP Wed Dec 1 13:41:51 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
# mount -t ntfs3 /dev/sda1 /run/media/sify/Elements\ SE
mount: /run/media/sify/Elements SE: wrong fs type, bad option, bad superblock on /dev/sda1, missing codepage or helper program, or other error.
do I need to do anything special to use the new ntfs3 driver?
I solved this by repairing the hard disk on windows using chkdisk, it took a whole day and I lost some data. But after that, I can mount the disk using ntfs3. I suspect I've saved some malformed data on that disk before.
I want to use gpu acceleration for my android emulator in a compute engine instance.
I added tesla t4 gpu and now trying to install the gpu grid driver according to here.
I use ubuntu 20. please advise
https://cloud.google.com/compute/docs/gpus/install-grid-drivers
I get an error:
in file included from /tmp/selfgz11598/NVIDIA-Linux-x86_64-410.92-grid/kernel/nvidia/nv-rsync.c:24:
/tmp/selfgz11598/NVIDIA-Linux-x86_64-410.92-grid/kernel/common/inc/nv-linux.h:1775:6: error: "NV_BUILD_MODULE_INSTA
NCES" is not defined, evaluates to 0 [-Werror=undef]
1775 | #if (NV_BUILD_MODULE_INSTANCES != 0)
| ^~~~~~~~~~~~~~~~~~~~~~~~~
c1: some warnings being treated as errors
make[2]: *** [scripts/Makefile.build:275: /tmp/selfgz11598/NVIDIA-Linux-x86_64-410.92-grid/kernel/nvidia/nv_uvm_int
erface.o] Error 1
/tmp/selfgz11598/NVIDIA-Linux-x86_64-410.92-grid/kernel/nvidia/nvlink_linux.c: In function ‘nvlink_sleep’:
/tmp/selfgz11598/NVIDIA-Linux-x86_64-410.92-grid/kernel/nvidia/nvlink_linux.c:570:5: error: implicit declaration of
function ‘do_gettimeofday’; did you mean ‘efi_gettimeofday’? [-Werror=implicit-function-declaration]
570 | do_gettimeofday(&tm_aux);
| ^~~~~~~~~~~~~~~
| efi_gettimeofday
cc1: some warnings being treated as errors
make[2]: *** [scripts/Makefile.build:275: /tmp/selfgz11598/NVIDIA-Linux-x86_64-410.92-grid/kernel/nvidia/nvlink_lin
ux.o] Error 1
make[2]: Target '__build' not remade because of errors.
make[1]: *** [Makefile:1731: /tmp/selfgz11598/NVIDIA-Linux-x86_64-410.92-grid/kernel] Error 2
make[1]: Target 'modules' not remade because of errors.
make[1]: Leaving directory '/usr/src/linux-headers-5.4.0-1021-gcp'
make: *** [Makefile:79: modules] Error 2
ERROR: The nvidia kernel module was not created.
ERROR: Installation has failed. Please see the file '/var/log/nvidia-installer.log' for details. You may find sug
gestions on fixing installation problems in the README available on the Linux driver download page at www.nvidia.co
m.
(END)
The document you are using to install NVIDIA GRID® drivers for virtual workstations, only contains examples of the commands needed to install the GRID drivers.
The example contained in that guide, is for installing the NVIDIA 410.92 driver, this driver is for GRID7.1, but I recommend to use the latest version of GRID, you can consult the following table to see the drivers available.
I’ve reproduced this scenario on my own project and I was able to install GRID11.0, using the NVIDIA 450.51.05 driver.
I’m using an instance with the following characteristics:
Machine type: n1-standard-1 (1 vCPU, 3.75 GB memory)
GPUs: 1 x NVIDIA Tesla T4
OS ubuntu-minimal-2004-focal-v20200702
Keep in mind that you need to have the option Enable Virtual Workstation (NVIDIA GRID) enabled at the creation moment to avoid issues.
I used the following commands for this installation:
user#instance-1:~$ curl -O https://storage.googleapis.com/nvidia-drivers-us-public/GRID/GRID11.0/NVIDIA-Lin
ux-x86_64-450.51.05-grid.run
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
100 139M 100 139M 0 0 72.2M 0 0:00:01 0:00:01 --:--:-- 72.1M
user#instance-1:~$ sudo bash NVIDIA-Linux-x86_64-450.51.05-grid.run
Verifying archive integrity... OK
Uncompressing NVIDIA Accelerated Graphics Driver for Linux-x86_64 450.51.05.....................................
................................................................................................................
................................................................................................................
................................................................................................................
................................................................................................................
........................................................................
user#instance-1:~$ nvidia-smi
Mon Jul 27 21:11:17 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 450.51.05 Driver Version: 450.51.05 CUDA Version: 11.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 Tesla T4 On | 00000000:00:04.0 Off | 0 |
| N/A 73C P8 21W / 70W | 0MiB / 15109MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
In my case I needed to install some dependencies like the gcc compiler, and I only used the command
$ sudo apt install build-essential
I hope this information is useful for you.
I ran sudo dnf install cuda on Fedora 27. The output is:
Last metadata expiration check: 0:01:05 ago on Thu 05 Jul 2018 10:32:51 AM CEST.
Package cuda-1:9.1.85.3-7.fc27.x86_64 is already installed, skipping.
Dependencies resolved.
Nothing to do.
Complete!
But when I do which cuda on the terminal, I get:
/usr/bin/which: no cuda in (/home/username/anaconda3/bin:/home/username/anaconda2/bin:/home/username/anaconda3/bin:/home/username/anaconda2/bin:/usr/local/bin:/usr/local/sbin:/usr/bin:/usr/sbin:/home/username/.local/bin:/home/username/bin)
Do I have cuda installed ?
Linux distribution :
x86_64
Fedora release 27 (Twenty Seven)
GPU available (output of lspci | grep -i nvidia):
01:00.0 3D controller: NVIDIA Corporation GP107M [GeForce GTX 1050 Mobile] (rev a1)
There is no executable called 'cuda'. The libraries get installed someplace like /usr/lib/x86_64-linux-gnu/libcuda.so.
You can try to run 'nvcc --version' but you can't be sure until you're able to run a cuda based application.
More details here:
https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#verify-installation
I'm using chromedriver with https://chrome.richardlloyd.org.uk/ solution for my CentOS 6.6 machine and found that for chromedriver 2.29 it is asking for GLIBC_2.14, but for 2.28 it is not. Is it an issue or jus as planned ?
Kernel: 2.6.32-573.26.1.el6.x86_64
Libstdc:
[mdvoryanchenko#serv ~]$ strings /opt/google/chrome/lib/libstdc++.so.6 | grep -e 'GLIBC*'
GLIBCXX_3.4
GLIBCXX_3.4.1
GLIBCXX_3.4.2
GLIBCXX_3.4.3
GLIBCXX_3.4.4
GLIBCXX_3.4.5
GLIBCXX_3.4.6
GLIBCXX_3.4.7
GLIBCXX_3.4.8
GLIBCXX_3.4.9
GLIBCXX_3.4.10
GLIBCXX_3.4.11
GLIBCXX_3.4.12
GLIBCXX_3.4.13
GLIBCXX_3.4.14
GLIBCXX_3.4.15
GLIBCXX_3.4.16
GLIBCXX_3.4.17
GLIBCXX_3.4.18
GLIBCXX_3.4.19
GLIBCXX_3.4.20
GLIBCXX_3.4.21
GLIBCXX_3.4.22
GLIBC_2.3
GLIBC_2.2.5
GLIBC_2.3.2
GLIBCXX_FORCE_NEW
GLIBCXX_DEBUG_MESSAGE_LENGTH
The Situation
I have a 2 gpu server (Ubuntu 12.04) where I switched a Tesla C1060 with a GTX 670. Than I installed CUDA 5.0 over the 4.2. Afterwards I compiled all examples execpt for simpleMPI without error. But when I run ./devicequery I get following error message:
foo#bar-serv2:~/NVIDIA_CUDA-5.0_Samples/bin/linux/release$ ./deviceQuery
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
cudaGetDeviceCount returned 38
-> no CUDA-capable device is detected
What I have tried
To solve this I tried all of the thinks recommended by CUDA-capable device, but to no avail:
/dev/nvidia* is there and the permissions are 666 (crw-rw-rw-) and owner root:root
foo#bar-serv2:/dev$ ls -l nvidia*
crw-rw-rw- 1 root root 195, 0 Oct 24 18:51 nvidia0
crw-rw-rw- 1 root root 195, 1 Oct 24 18:51 nvidia1
crw-rw-rw- 1 root root 195, 255 Oct 24 18:50 nvidiactl
I tried executing the code with sudo
CUDA 5.0 installs driver and libraries at the same time
PS here is lspci | grep -i nvidia:
foo#bar-serv2:/dev$ lspci | grep -i nvidia
03:00.0 VGA compatible controller: NVIDIA Corporation GK104 [GeForce GTX 670] (rev a1)
03:00.1 Audio device: NVIDIA Corporation GK104 HDMI Audio Controller (rev a1)
04:00.0 VGA compatible controller: NVIDIA Corporation G94 [Quadro FX 1800] (rev a1)
[update]
foo#bar-serv2:~/NVIDIA_CUDA-5.0_Samples/bin/linux/release$ nvidia-smi -a
NVIDIA: API mismatch: the NVIDIA kernel module has version 295.59,
but this NVIDIA driver component has version 304.54. Please make
sure that the kernel module and all NVIDIA driver components
have the same version.
Failed to initialize NVML: Unknown Error
How could that be, if I use the CUDA 5.0 installer to install driver and libs at the same time. Could the old 4.2 version, that is still lying around mess things up?
I came across this issue, and running
nvidia-smi
informed me of an API mismatch. The problem was that my Linux distro had installed updates that required a system restart, so restarting resolved the issue.
See this stack overflow question Installing cuda 5 samples in Ubuntu 12.10.
Ubuntu 12 is not a supported Linux distro (yet). For reference see CUDA 5.0 Toolkit Release Notes And Errata
** Distributions Currently Supported
Distribution 32 64 Kernel GCC GLIBC
----------------- -- -- --------------------- ---------- -------------
Fedora 16 X X 3.1.0-7.fc16 4.6.2 2.14.90
ICC Compiler 12.1 X
OpenSUSE 12.1 X 3.1.0-1.2-desktop 4.6.2 2.14.1
Red Hat RHEL 6.x X 2.6.32-131.0.15.el6 4.4.5 2.12
Red Hat RHEL 5.5+ X 2.6.18-238.el5 4.1.2 2.5
SUSE SLES 11 SP2 X 3.0.13-0.27-pae 4.3.4 2.11.3
SUSE SLES 11.1 X X 2.6.32.12-0.7-pae 4.3.4 2.11.1
Ubuntu 11.10 X X 3.0.0-19-generic-pae 4.6.1 2.13
Ubuntu 10.04 X X 2.6.35-23-generic 4.4.5 2.12.1
If you want to do it run on Ubuntu 12 anyway then see answer of rpardo. It looks like this distro instead of installing 64 bit libraries to /usr/lib64 installs them to /usr/lib/x86_64-linux-gnu/
I'd suggest searching for all instances of libcuda.so and libnvidia-ml.so on the system. Since the driver doesn't support this distro it might have installed libraries to a path that is not pointed by LD_LIBRARY_PATH. Then move the libraries around and/or change the LD_LIBRARY_PATH to point to this location (it should be the first path on the left). Then retry nvidia-smi or deviceQuery
Good luck
I got error 38 for cudaGetDeviceCount on a windows machine with GTX980 GPU.
After I downloaded the latest driver for GTX 980 fro the NVIDIA site, installed it and restarted, everything is fine. Looks like the CUDA installer is not installing the latest driver.
Try running the sample using sudo (or, you might do a 'sudo su', set LD_LIBRARY_PATH to the path of cuda libraries and run the sample while being root). Apparently, since you've probably installed CUDA 5.0 using sudo, the samples doesn't run with normal user. However, if you run a sample with root, then you'll be able to run samples with the regular user too! I've not yet restarted the system to see if samples work with normal user even after reboot, or each time you should run at least one CUDA application with root.
The problem might completely disappear if you install CUDA TookKit without using sudo.
I had very similar problem on Debian and it turns out that loaded nvidia module had different version than libcuda1.
To check for installed nvidia module you should do:
$ sudo modinfo nvidia-current | grep version
version: 319.82
If it doesn't match version of libcuda1 this the root of your problems.