# How do I output in a nice table in the terminal the mapping of the gpu id, the pid and the \*\*username\*\*? **URL:** \ **Category:** deployment\ **Created:** [February 7, 2023, 9:30pm UTC](https://discuss.pytorch.org/t/how-do-i-output-in-a-nice-table-in-the-terminal-the-mapping-of-the-gpu-id-the-pid-and-the-username/172043 "2023-02-07T21:30:22Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![Brando\_Miranda](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/brando_miranda/32/14355_2.png) [@Brando\_Miranda](https://discuss.pytorch.org/u/Brando_Miranda)\ **Post date:** [February 7, 2023, 9:30pm UTC](https://discuss.pytorch.org/t/how-do-i-output-in-a-nice-table-in-the-terminal-the-mapping-of-the-gpu-id-the-pid-and-the-username/172043/1 "2023-02-07T21:30:23Z")
I saw: [cuda - How do I customize nvidia-smi 's output to show PID username? - Stack Overflow](https://stackoverflow.com/questions/50264491/how-do-i-customize-nvidia-smi-s-output-to-show-pid-username) but doesn’t do what I want. I want the output to look: ```auto USER GPU PID hostname %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND brando9 0 1234 ampere3 ... etc... whatever don't really care ``` but instead I see: ```auto (metalearning_gpu) brando9~ $ nvidia-smi; ps -up `nvidia-smi -q -x | grep pid | sed -e 's///g' -e 's/<\/pid>//g' -e 's/^[[:space:]]*//'`; hostname Mon Feb 6 19:19:59 2023 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 515.43.04 Driver Version: 515.43.04 CUDA Version: 11.7 | |-------------------------------+----------------------+----------------------+ | 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 NVIDIA A100-SXM... On | 00000000:07:00.0 Off | 0 | | N/A 31C P0 67W / 400W | 2MiB / 81920MiB | 0% Default | | | | Disabled | +-------------------------------+----------------------+----------------------+ | 1 NVIDIA A100-SXM... On | 00000000:0A:00.0 Off | 0 | | N/A 28C P0 61W / 400W | 2MiB / 81920MiB | 0% Default | | | | Disabled | +-------------------------------+----------------------+----------------------+ | 2 NVIDIA A100-SXM... On | 00000000:44:00.0 Off | 0 | | N/A 29C P0 63W / 400W | 2MiB / 81920MiB | 0% Default | | | | Disabled | +-------------------------------+----------------------+----------------------+ | 3 NVIDIA A100-SXM... On | 00000000:4A:00.0 Off | 0 | | N/A 32C P0 65W / 400W | 2MiB / 81920MiB | 0% Default | | | | Disabled | +-------------------------------+----------------------+----------------------+ | 4 NVIDIA A100-SXM... On | 00000000:84:00.0 Off | 0 | | N/A 33C P0 65W / 400W | 2MiB / 81920MiB | 0% Default | | | | Disabled | +-------------------------------+----------------------+----------------------+ | 5 NVIDIA A100-SXM... On | 00000000:8A:00.0 Off | 0 | | N/A 30C P0 71W / 400W | 66729MiB / 81920MiB | 14% Default | | | | Disabled | +-------------------------------+----------------------+----------------------+ | 6 NVIDIA A100-SXM... On | 00000000:C0:00.0 Off | 0 | | N/A 30C P0 62W / 400W | 2MiB / 81920MiB | 0% Default | | | | Disabled | +-------------------------------+----------------------+----------------------+ | 7 NVIDIA A100-SXM... On | 00000000:C3:00.0 Off | 0 | | N/A 32C P0 64W / 400W | 2MiB / 81920MiB | 0% Default | | | | Disabled | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | 5 N/A N/A 49854 C .../envs/a100_env/bin/python 66727MiB | +-----------------------------------------------------------------------------+ USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND kexinh 49854 359 0.3 130510112 6749364 ? Rsl 18:16 226:30 /dfs/user/kexinh/miniconda3/envs/a100_env/bin/python -m ipykernel_launcher -f /afs/cs.stanford.edu/u/kexinh/.local/share/jupyter/runtime/kernel-bbc9f45e-4513-4643-82c3-0f67dde751 ampere3 ``` How do I add a column such that I can see the gpu id, pid and user name easily in bash/the terminal? Even a command using python is fine e.g. ```auto python -c 'some one liner python script that works' ``` * * * related: - related: [cuda - How do I customize nvidia-smi 's output to show PID username? - Stack Overflow](https://stackoverflow.com/questions/50264491/how-do-i-customize-nvidia-smi-s-output-to-show-pid-username?noredirect=1&lq=1) - cross: [https://www.reddit.com/r/nvidia/comments/10vr808/how\_do\_i\_output\_in\_a\_nice\_table\_in\_the\_terminal/](https://www.reddit.com/r/nvidia/comments/10vr808/how_do_i_output_in_a_nice_table_in_the_terminal/) ---
**Author:** ![Brando\_Miranda](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/brando_miranda/32/14355_2.png) [@Brando\_Miranda](https://discuss.pytorch.org/u/Brando_Miranda)\ **Post date:** [February 9, 2023, 8:10pm UTC](https://discuss.pytorch.org/t/how-do-i-output-in-a-nice-table-in-the-terminal-the-mapping-of-the-gpu-id-the-pid-and-the-username/172043/2 "2023-02-09T20:10:28Z")
Given my requirements that I want to display Pid, username, gpu id and process/app name, here is the solution: Answer: ```auto (echo "GPU_ID PID UID APP" ; for GPU in 0 1 2 3 ; do for PID in $( nvidia-smi -q --id=${GPU} --display=PIDS | awk '/Process ID/{print $NF}') ; do echo -n "${GPU} ${PID} " ; ps -up ${PID} | awk 'NR-1 {print $1,$NF}' ; done ; done) | column -t ``` credit: > **[r/HPC - How do I output in a nice table in the terminal the mapping of the...](https://www.reddit.com/r/HPC/comments/10x9w6x/comment/j7sg7w2/?utm_source=share&utm_medium=web2x&context=3)** > > 3 votes and 2 comments so far on Reddit