How to customize nvidia-smi 's output to show PID username
I created a script that takes nvidia-smi output and enriches it with some more information: https://github.com/peci1/nvidia-htop .
It is a python script that parses the GPU process list, parses the PIDs, runs them through ps
to gather more information, and then substitutes the nvidia-smi
's process list with the enriched listing.
Example of use:
$ nvidia-smi | nvidia-htop.py -l
Mon May 21 15:06:35 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 390.25 Driver Version: 390.25 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 108... Off | 00000000:04:00.0 Off | N/A |
| 53% 75C P2 174W / 250W | 10807MiB / 11178MiB | 97% Default |
+-------------------------------+----------------------+----------------------+
| 1 GeForce GTX 108... Off | 00000000:05:00.0 Off | N/A |
| 66% 82C P2 220W / 250W | 10783MiB / 11178MiB | 100% Default |
+-------------------------------+----------------------+----------------------+
| 2 GeForce GTX 108... Off | 00000000:08:00.0 Off | N/A |
| 45% 67C P2 85W / 250W | 10793MiB / 11178MiB | 51% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| GPU PID USER GPU MEM %MEM %CPU COMMAND |
| 0 1032 anonymou 10781MiB 308 3.7 python train_image_classifier.py --train_dir=/mnt/xxxxxxxx/xxxxxxxx/xxxxxxxx/xxxxxxx/xxxxxxxxxxxxxxx |
| 1 11021 cannotte 10765MiB 114 1.5 python3 ./train.py --flagfile /xxxxxxxx/xxxxxxxx/xxxxxxxx/xxxxxxxxx/xx/xxxxxxxxxxxxxxx |
| 2 25544 nevermin 10775MiB 108 2.0 python -m xxxxxxxxxxxxxxxxxxxxxxxxxxxxx |
+-----------------------------------------------------------------------------+
I did it with nvidia-smi -q -x
which is XML style output of nvidia-smi
ps -up `nvidia-smi -q -x | grep pid | sed -e 's/<pid>//g' -e 's/<\/pid>//g' -e 's/^[[:space:]]*//'`
This is the best I could come up with:
nvidia-smi
ps -up `nvidia-smi |tail -n +16 | head -n -1 | sed 's/\s\s*/ /g' | cut -d' ' -f3`
Sample output:
Thu May 10 15:23:08 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 384.111 Driver Version: 384.111 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 108... Off | 00000000:0A:00.0 Off | N/A |
| 41% 59C P2 251W / 250W | 5409MiB / 11172MiB | 100% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1606 C ...master_JPG/build/tools/program.bin 4862MiB |
| 0 15314 C python 537MiB |
+-----------------------------------------------------------------------------+
USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND
user111+ 1606 134 4.8 32980224 789164 pts/19 Rl+ 15:23 0:08 /home/user111
user2 15314 0.4 10.0 17936788 1647040 pts/16 Sl+ 10:41 1:20 python server_
Short explanation of the script:
Tail
andhead
to remove redundant linesSed
to remove spaces (after this, each column would only be separated by 1 space)Cut
to extract the relevant columns
The output is a list of PIDs, each occupying 1 line. We only need to use ps -up
to show the relevant information
UPDATE: A better solution:
ps -up `nvidia-smi |tee /dev/stderr |tail -n +16 | head -n -1 | sed 's/\s\s*/ /g' | cut -d' ' -f3`
This way, nvidia-smi
would have to be called only once.
See also:
How to output bash command to stdout and pipe to another command at the same time?
UPDATE 2: I've uploaded this to Github as a simple script for those who need detailed GPU information.
https://github.com/ManhTruongDang/check-gpu