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https://github.com/shunk031/nvhtop
A tool for enriching the output of nvidia-smi forked from peci1/nvidia-htop.
https://github.com/shunk031/nvhtop
command-line-tool htop nvidia nvidia-smi python3
Last synced: 3 months ago
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A tool for enriching the output of nvidia-smi forked from peci1/nvidia-htop.
- Host: GitHub
- URL: https://github.com/shunk031/nvhtop
- Owner: shunk031
- License: mit
- Created: 2019-12-10T16:15:41.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2019-12-11T05:45:37.000Z (about 5 years ago)
- Last Synced: 2024-10-04T03:13:16.106Z (4 months ago)
- Topics: command-line-tool, htop, nvidia, nvidia-smi, python3
- Language: Python
- Homepage:
- Size: 126 KB
- Stars: 22
- Watchers: 4
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# nvhtop
[](https://github.com/shunk031/nvhtop/actions)
A tool for enriching the output of `nvidia-smi` forked from [peci1/nvidia-htop](https://github.com/peci1/nvidia-htop).
## Install
```shell
$ pip install nvhtop
```
## Usage
```
usage: nvhtop [-h] [-l [COMMAND_LENGTH]] [-c]
print GPU utilization with usernames and CPU stats for each GPU-utilizing
process
optional arguments:
-h, --help show this help message and exit
-l [COMMAND_LENGTH], --command-length [COMMAND_LENGTH]
Print longer part of the commandline. If `length' is
provided, use it as the commandline length, otherwise
print first 100 characters.
-c, --color Colorize the output (green - free GPU, yellow -
moderately used GPU, red - fully used GPU)
```
Note: for backward compatibility, `nvidia-smi | nvhtop [-l [length]]` is also supported.
## Example output
```
$ nvhtop -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_classifier.py |
| 1 11021 cannotte 10765MiB 114 1.5 python3 ./train.py |
| 2 25544 nevermin 10775MiB 108 2.0 python -m xxxxxxxxxxxxxxxxxxxxx |
+-----------------------------------------------------------------------------+
```
## Screenshot with output coloring
