/usr/share/doc/conky/convert.lua .conkyrc .conkyrc.new
Anglican wrote:Personally, I wouldn't bother. If there's anything in the themes that you like (there are jpeg files as previews so you can see what they look like) you could just copy those lines into your ~/.conkyrc which is the file conky uses by default for its configuration. This file needs to be in the new format or you'll get errors and conky probably wont start.
$ conky
conky: desktop window (260000b) is subwindow of root window (1dd)
conky: window type - desktop
conky: drawing to created window (0x8400001)
conky: Unknown setting 'out_to_ncurses'
Either:
conky -c conkyrc
or
conky -c conkyrc2
conky: Unknown setting 'out_to_ncurses'
out_to_ncurses true
conky: desktop window (260000b) is subwindow of root window (1dd)
conky: window type - desktop
conky: drawing to created window (0x6e00001)
conky: Unknown setting 'out_to_ncurses'
Linares wrote:Hello.
I have already get to convert the conkyrc and conkyrc2 files. I have both in /home/and/.conky. Neither of them contains the line "out_to_ncurses true", but the same error still appears:
- Code: Select all
conky: desktop window (260000b) is subwindow of root window (1dd)
conky: window type - desktop
conky: drawing to created window (0x6e00001)
conky: Unknown setting 'out_to_ncurses'
and, when I use "conky" at bash, the initial black and square conky still appears.
It's demoralizing. On a very old computer, which I have for testing, I have Ubuntu 18.04 and I have installed Conky without problems. Why?
conky -c .conky/conkyrc
${font Roboto:size=10}N V I D I A ${hr 2}${font}
${font Roboto:size=10,weight:bold}${color5}${execp nvidia-smi --query-supported-clocks=gpu_name --format=csv,noheader}${font}
${font StyleBats:size=20}u${font}${offset 8}${voffset -12}GPU Temp ${alignr}${execi 60 nvidia-smi --query-gpu=temperature.gpu --format=csv,noheader} °C
${offset 30}Fan Speed ${alignr}${execi 60 nvidia-settings -q [fan:0]/GPUCurrentFanSpeed -t} %
${offset 30}GPU Clock ${alignr}${execi 60 nvidia-settings -q GPUCurrentClockFreqs | grep -m 1 Attribute | awk '{print $4}' | sed -e 's/\.//' | cut -d, -f1} MHz
${offset 30}Mem Clock ${alignr}${execi 86400 nvidia-settings -q all| grep -m 1 GPUCurrentProcessorClockFreqs | awk '{print $4}' | sed 's/.$//'} MHz
${offset 30}Mem Used ${alignr}${execi 60 nvidia-settings -q [gpu:0]/UsedDedicatedGPUMemory -t} / ${exec nvidia-settings -q [gpu:0]/TotalDedicatedGPUMemory -t} MiB0
Linares wrote:${font Roboto:size=10,weight:bold}${color5}${execp nvidia-smi --query-supported-clocks=gpu_name --format=csv,noheader}${font}
${font StyleBats:size=20}u${font}${offset 8}${voffset -12}GPU Temp ${alignr}${execi 60 nvidia-smi --query-gpu=temperature.gpu --format=csv,noheader} °C
${offset 30}Fan Speed ${alignr}${execi 60 nvidia-settings -q [fan:0]/GPUCurrentFanSpeed -t} %
${offset 30}GPU Clock ${alignr}${execi 60 nvidia-settings -q GPUCurrentClockFreqs | grep -m 1 Attribute | awk '{print $4}' | sed -e 's/\.//' | cut -d, -f1} MHz
${offset 30}Mem Clock ${alignr}${execi 86400 nvidia-settings -q all| grep -m 1 GPUCurrentProcessorClockFreqs | awk '{print $4}' | sed 's/.$//'} MHz
${offset 30}Mem Used ${alignr}${execi 60 nvidia-settings -q [gpu:0]/UsedDedicatedGPUMemory -t} / ${exec nvidia-settings -q [gpu:0]/TotalDedicatedGPUMemory -t} MiB0
doktor5000 wrote:Linares wrote:${font Roboto:size=10,weight:bold}${color5}${execp nvidia-smi --query-supported-clocks=gpu_name --format=csv,noheader}${font}
${font StyleBats:size=20}u${font}${offset 8}${voffset -12}GPU Temp ${alignr}${execi 60 nvidia-smi --query-gpu=temperature.gpu --format=csv,noheader} °C
${offset 30}Fan Speed ${alignr}${execi 60 nvidia-settings -q [fan:0]/GPUCurrentFanSpeed -t} %
${offset 30}GPU Clock ${alignr}${execi 60 nvidia-settings -q GPUCurrentClockFreqs | grep -m 1 Attribute | awk '{print $4}' | sed -e 's/\.//' | cut -d, -f1} MHz
${offset 30}Mem Clock ${alignr}${execi 86400 nvidia-settings -q all| grep -m 1 GPUCurrentProcessorClockFreqs | awk '{print $4}' | sed 's/.$//'} MHz
${offset 30}Mem Used ${alignr}${execi 60 nvidia-settings -q [gpu:0]/UsedDedicatedGPUMemory -t} / ${exec nvidia-settings -q [gpu:0]/TotalDedicatedGPUMemory -t} MiB0
What output do you get when you run the commands in bold in a terminal ?
$ nvidia-smi --query-supported-clocks=gpu_name --format=csv,noheader
NVIDIA-SMI couldn't find libnvidia-ml.so library in your system. Please make sure that the NVIDIA Display Driver is properly installed and present in your system.
Please also try adding directory that contains libnvidia-ml.so to your system PATH.
Anglican wrote:I believe to get nvidia-smi working you also need to install nvidia-current-cuda-opencl or nvidia-current-devel which provide libnvidia-ml.so.
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