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Conky 不显示 Nvidia GPU 数据

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Conky 不显示 Nvidia GPU 数据

我正在使用下面的 conky 脚本，但它没有显示 Nvidia GPU 详细信息，如下面的屏幕截图所示：

override_utf8_locale yes
use_xft yes
xftfont ubuntu:size=10.5
xftalpha 0.5
uppercase no
no_buffers yes              # Subtract cached and buffered ram from memory usage.
short_units yes             # Use "G" instead of "GiB"

text_buffer_size 2048
update_interval 2.5          # change to .001 for 1000 times per second stress test
own_window_class Conky
own_window yes
own_window_type dock
own_window_transparent no
own_window_argb_visual yes
own_window_argb_value 145  # semi-transparent
own_window_hints undecorated,below,sticky,skip_taskbar,skip_pager
double_buffer yes
minimum_size 400
maximum_width 400
alignment top_right

draw_shades yes
# off-white
default_color ECEAE4
# blue
color1 1EB5FF
# light blue
color2 30DDFB
# dark blue
color3 0090ff
# lime
color4 98FF76
default_shade_color 000000

draw_outline no
draw_borders no
stippled_borders 0

TEXT
#------------+
# Distro     |
#------------+
${color}Today is:${color green}$alignr${time %A,}$alignr ${time %e %B %G}
${color}Distribution:${color green}$alignr ${execi 6300 cat /etc/issue.net} $machine
${color}Kernel:$alignr${color green} $kernel
${color orange}${voffset 2}${hr 1}
#------------+
# i7-6700 CPU|
#------------+
${color2}${voffset 5}Intel® i-7 6700HQ 3.5 GHz: ${color1}@  ${color green}${freq} MHz
${color}${goto 13}CPU 0 ${goto 81}${color green}${cpu cpu1}% ${goto 131}${color3}${cpubar cpu1 18}
#${cpugauge cpu1 20,40}
#${cpugraph 1 15,200 555555 AAAAAA -l}
${color}${goto 13}CPU 1 ${goto 81}${color green}${cpu cpu2}% ${goto 131}${color3}${cpubar cpu2 18}
${color}${goto 13}CPU 2 ${goto 81}${color green}${cpu cpu3}% ${goto 131}${color3}${cpubar cpu3 18}
${color}${goto 13}CPU 3 ${goto 81}${color green}${cpu cpu4}% ${goto 131}${color3}${cpubar cpu4 18}
${color}${goto 13}CPU 4 ${goto 81}${color green}${cpu cpu5}% ${goto 131}${color3}${cpubar cpu5 18}
${color}${goto 13}CPU 5 ${goto 81}${color green}${cpu cpu6}% ${goto 131}${color3}${cpubar cpu6 18}
${color}${goto 13}CPU 6 ${goto 81}${color green}${cpu cpu7}% ${goto 131}${color3}${cpubar cpu7 18}
${color}${goto 13}CPU 7 ${goto 81}${color green}${cpu cpu8}% ${goto 131}${color3}${cpubar cpu8 18}
#------------+
# Temperature|
#------------+
#${color1}All CPUs ${color green}${cpu}% ${goto 131}${color1}Temp: ${color green}${execpi .001 cat /sys/class/thermal/thermal_zone7/temp | cut -c1-2}°C ${alignr}${color1}Up: ${color green}$uptime
# Next line is for kernel >= 4.13.0-36-generic
${color1}All CPUs ${color green}${cpu}% ${goto 131}${color1}Temp: ${color green}${hwmon 1 temp 1}°C ${alignr}${color1}Up: ${color green}$uptime
# Next line is for temperature with Kerenel 4.4
#${color1}All CPUs ${color green}${cpu}% ${goto 131}${color1}Temp: ${color green}${hwmon 0 temp 1}°C ${alignr}${color1}Up: ${color green}$uptime
${color green}$running_processes ${color1}running of ${color green}$processes ${color1}loaded processes.
${color1}Load Average 1-5-15 minutes: ${alignr}${color green}${execpi .001 (awk '{printf "%s/", $1}' /proc/loadavg; grep -c processor /proc/cpuinfo;) | bc -l | cut -c1-4} ${execpi .001 (awk '{printf "%s/", $2}' /proc/loadavg; grep -c processor /proc/cpuinfo;) | bc -l | cut -c1-4} ${execpi .001 (awk '{printf "%s/", $3}' /proc/loadavg; grep -c processor /proc/cpuinfo;) | bc -l | cut -c1-4}
#------------+
# Intel iGPU |
#------------+
${color orange}${hr 1}${if_match "intel" == "${execpi 99999 prime-select query}"}
${color2}${voffset 5}Intel® Skylake GT2 HD 530 iGPU @${alignr}${color green}${execpi .001 (cat /sys/class/drm/card1/gt_cur_freq_mhz)} MHz
${color}${goto 13}Min. Freq:${goto 120}${color green}${execpi .001 (cat /sys/class/drm/card1/gt_min_freq_mhz)} MHz${color}${goto 210}Max. Freq:${alignr}${color green}${execpi .001 (cat /sys/class/drm/card1/gt_max_freq_mhz)} MHz
${color orange}${hr 1}${else}
#------------+
# Nvidia GPU |
#------------+
${color2}${voffset 5}${execpi .001 (nvidia-smi --query-gpu=gpu_name --format=csv,noheader)} ${color1}@ ${color green}${execpi .001 (nvidia-smi --query-gpu=clocks.sm --format=csv,noheader)} ${alignr}${color1}Temp: ${color green}${execpi .001 (nvidia-smi --query-gpu=temperature.gpu --format=csv,noheader)}°C
${color1}${voffset 5}Ver: ${color green}${execpi .001 (nvidia-smi --query-gpu=driver_version --format=csv,noheader)} ${color1} P-State: ${color green}${execpi .001 (nvidia-smi --query-gpu=pstate --format=csv,noheader)} ${alignr}${color1}BIOS: ${color green}${execpi .001 (nvidia-smi --query-gpu=vbios_version --format=csv,noheader)}
${color1}${voffset 5}GPU:${color green}${execpi .001 (nvidia-smi --query-gpu=utilization.gpu --format=csv,noheader)} ${color1}Ram:${color green}${execpi .001 (nvidia-smi --query-gpu=utilization.memory --format=csv,noheader)} ${color1}Pwr:${color green}${execpi .001 (nvidia-smi --query-gpu=power.draw --format=csv,noheader)} ${alignr}${color1}Freq: ${color green}${execpi .001 (nvidia-smi --query-gpu=clocks.mem --format=csv,noheader)}
${color orange}${hr 1}${endif}
#------------+
# Prcoesses  |
#------------+
${color1}${voffset 5}Process Name: ${goto 200}PID ${goto 265}CPU% ${alignr}Mem%
${color}${goto 13}${top name 1} ${goto 190}${top pid 1} ${goto 270}${color green}${top cpu 1} ${alignr}${top mem 1}
${color}${goto 13}${top name 2} ${goto 190}${top pid 2} ${goto 270}${color green}${top cpu 2} ${alignr}${top mem 2}
${color}${goto 13}${top name 3} ${goto 190}${top pid 3} ${goto 270}${color green}${top cpu 3} ${alignr}${top mem 3}
${color}${goto 13}${top name 4} ${goto 190}${top pid 4} ${goto 270}${color green}${top cpu 4} ${alignr}${top mem 4}
${color}${goto 13}${top name 5} ${goto 190}${top pid 5} ${goto 270}${color green}${top cpu 5} ${alignr}${top mem 5}
${color}${goto 13}${top name 6} ${goto 190}${top pid 6} ${goto 270}${color green}${top cpu 6} ${alignr}${top mem 6}
${color}${goto 13}${top name 7} ${goto 190}${top pid 7} ${goto 270}${color green}${top cpu 7} ${alignr}${top mem 7}
${color}${goto 13}${top name 8} ${goto 190}${top pid 8} ${goto 270}${color green}${top cpu 8} ${alignr}${top mem 8}
${color}${goto 13}${top name 9} ${goto 190}${top pid 9} ${goto 270}${color green}${top cpu 9} ${alignr}${top mem 9}
${color orange}${voffset 2}${hr 1}
#------------+
# Storage    |
#------------+
${color1}RAM Use/Free:${goto 148}${color red}$mem ${color red} ${goto 220}${membar 15,100} $alignr${color}${memeasyfree}
${color1}Linux Root:${goto 148}${color red}${fs_used /} ${color red} ${goto 220}${fs_bar 15,100 /} $alignr${color}${fs_free /}
${color1}Ubuntu 18.04:${goto 148}${if_mounted /mnt/clone}${color red} ${fs_used /mnt/clone} ${color red} ${goto 220}${fs_bar 15,100 /mnt/clone} $alignr${color}${fs_free /mnt/clone}${else} ${color yellow} /mnt/clone ${endif}
${color1}${if_mounted /mnt/old}Broken 16.04:${goto 148}${color red} ${fs_used /mnt/old} ${color red} ${goto 220}${fs_bar 15,100 /mnt/old} $alignr${color}${fs_free /mnt/old}${else}Cache RAM:${goto 148}${color green}${cached} ${color1} ${alignr}Buffers: ${color green} ${buffers}${endif}
${color1}${if_mounted /mnt/e}WSL+Linux:${goto 148}${color red}${fs_used /mnt/e} ${color red} ${goto 220}${fs_bar 15,100 /mnt/e} $alignr${color}${fs_free /mnt/e}${else}Swap:${goto 148}${color green}${swap} / ${swapmax} $alignr${color green}${swapperc}%${endif}
#${color}NVMe Win 10:${goto 148}${if_mounted /mnt/c}${color green} ${fs_used /mnt/c} / ${fs_size /mnt/c} $alignr${color green}${fs_used_perc /mnt/c}%${else}${color yellow}/mnt/c${endif}
#${color}${if_mounted /mnt/d}HGST_Win10:${goto 148}${color red} ${fs_used /mnt/d} / ${fs_size /mnt/d} $alignr${color green}${fs_used_perc /mnt/d}%${else}Cache RAM:${goto 148}${color green}${cached} ${color} Buffers: ${color green} ${buffers}${endif}
#${color}${if_mounted /mnt/e}WSL+Linux:${goto 148}${color red}${fs_used /mnt/e} / ${fs_size /mnt/e} $alignr${color red}${fs_used_perc /mnt/e}%${else}Swap:${goto 148}${color green}${swap} / ${swapmax} $alignr${color green}${swapperc}%${endif}
${color orange}${voffset 2}${hr 1}
#------------+
# Network    |
#------------+
#${color1}Network using vnStat "-i", "-w" and "-m"
${color}${goto 5}Today ${goto 100}Yesterday ${goto 225}Week ${goto 325}Month ${color green}
# vnstatd updates database every five minutes
${execi 300 vnstat -i enp59s0 | grep "today" | awk '{print $8" "substr ($9, 1, 1)}'} ${goto 110}${execi 300 vnstat -i enp59s0 | grep "yesterday" | awk '{print $8" "substr ($9, 1, 1)}'} ${goto 220}${execi 300 vnstat -i enp59s0 -w | grep "current week" | awk '{print $9" "substr ($10, 1, 1)}'} ${goto 315}${execi 300 vnstat -i enp59s0 -m | grep "`date +"%b '%y"`" | awk '{print $9" "substr ($10, 1, 1)}'}
${color}Down: ${color green}${downspeed enp59s0}/s ${color}${goto 220}Up: ${color green}${upspeed enp59s0}/s
${downspeedgraph enp59s0 25,190 000000 ff0000} ${alignr}${upspeedgraph enp59s0 25,190 000000 00ff00}$color
Total: ${color green}${totaldown enp59s0} $color${alignr}Total: ${color green}${totalup enp59s0}
#Bit Rate:$color ${wireless_bitrate wlp60s0}
#------------+
# Brightness |
#------------+
${color orange}${voffset 2}${hr 1}
${color1}${goto 5}Rise: ${color green}${execpi 300 cat /usr/local/bin/.eyesome-sunrise} ${goto 155}${color1}Set: ${color green}${execpi 300 cat /usr/local/bin/.eyesome-sunset} ${alignr}${color1}Level: ${color green}${execpi 10 cat /sys/class/backlight/intel_backlight/brightness}

在此处输入图片描述

这是我运行时的输出nvidia-smi：

在此处输入图片描述

如果我在终端中单独运行命令，它们会检索正确的信息，如下所示，所以我不确定哪里出了问题。

在此处输入图片描述

conky这是在终端中运行时的终端输出：

在此处输入图片描述

更新：

以下是我的文件的最小版本和最终的输出：

override_utf8_locale yes
use_xft yes
xftfont ubuntu:size=10.5
xftalpha 0.5
uppercase no
no_buffers yes              # Subtract cached and buffered ram from memory usage.
short_units yes             # Use "G" instead of "GiB"

text_buffer_size 2048
update_interval 2.5          # change to .001 for 1000 times per second stress test
own_window_class Conky
own_window yes
own_window_type dock
own_window_transparent no
own_window_argb_visual yes
own_window_argb_value 145  # semi-transparent
own_window_hints undecorated,below,sticky,skip_taskbar,skip_pager
double_buffer yes
minimum_size 400
maximum_width 400
alignment top_right

draw_shades yes
# off-white
default_color ECEAE4
# blue
color1 1EB5FF
# light blue
color2 30DDFB
# dark blue
color3 0090ff
# lime
color4 98FF76
default_shade_color 000000

draw_outline no
draw_borders no
stippled_borders 0
TEXT

#------------+
# Nvidia GPU |
#------------+
${color2}${voffset 5}${execpi .001 (nvidia-smi --query-gpu=gpu_name --format=csv,noheader)} ${color1}@ ${color green}${execpi .001 (nvidia-smi --query-gpu=clocks.sm --format=csv,noheader)} ${alignr}${color1}Temp: ${color green}${execpi .001 (nvidia-smi --query-gpu=temperature.gpu --format=csv,noheader)}°C
${color1}${voffset 5}Ver: ${color green}${execpi .001 (nvidia-smi --query-gpu=driver_version --format=csv,noheader)} ${color1} P-State: ${color green}${execpi .001 (nvidia-smi --query-gpu=pstate --format=csv,noheader)} ${alignr}${color1}BIOS: ${color green}${execpi .001 (nvidia-smi --query-gpu=vbios_version --format=csv,noheader)}
${color1}${voffset 5}GPU:${color green}${execpi .001 (nvidia-smi --query-gpu=utilization.gpu --format=csv,noheader)} ${color1}Ram:${color green}${execpi .001 (nvidia-smi --query-gpu=utilization.memory --format=csv,noheader)} ${color1}Pwr:${color green}${execpi .001 (nvidia-smi --query-gpu=power.draw --format=csv,noheader)} ${alignr}${color1}Freq: ${color green}${execpi .001 (nvidia-smi --query-gpu=clocks.mem --format=csv,noheader)}
${color orange}${hr 1}

得出的结果为：

conky 截图

答案1

我在您的文件中看到的一个明显问题是，您每 1/1000 秒运行一次这些命令！这是一个非常大的负载，可能会让您的机器崩溃。这也是毫无意义的，因为在大多数情况下，没有理由使用这种级别的细节，而在其他情况下，您将其用于输出永远不会改变的命令（例如您的卡的名称或其 BIOS 版本）。

因此，首先，仅execpi当您运行的命令的输出定期更改时才使用。其次，使用合理的间隔（例如 1 或 10）而不是 0.001。

答案2

我不知道你的 GPU 的答案，但我注意到你的温度是空白的。代码是：

#${color1}All CPUs ${color green}${cpu}% ${goto 131}${color1}Temp: ${color green}${execpi .001 cat /sys/class/thermal/thermal_zone7/temp | cut -c1-2}°C ${alignr}${color1}Up: ${color green}$uptime
# Next line is for kernel >= 4.13.0-36-generic
${color1}All CPUs ${color green}${cpu}% ${goto 131}${color1}Temp: ${color green}${hwmon 1 temp 1}°C ${alignr}${color1}Up: ${color green}$uptime
# Next line is for temperature with Kerenel 4.4
#${color1}All CPUs ${color green}${cpu}% ${goto 131}${color1}Temp: ${color green}${hwmon 0 temp 1}°C ${alignr}${color1}Up: ${color green}$uptime

删除第一行的注释（#），并在第三行前面添加注释。然后连续两次保存文件。这将重新加载 conky 配置，而无需手动终止并重新启动它。

如果这不起作用，则在第一行添加注释并从第五行删除注释。然后保存文件两次。

我还注意到您的系统没有显示 Ubuntu 字体，而是显示 Courier 字体的一个版本。似乎此行不起作用，或者您没有安装字体：

xftfont ubuntu:size=10.5

我想知道这是否可能是由于区域设置或语言设置造成的。

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