📊 A simple command-line utility for querying and monitoring GPU status

Last update: Jan 04, 2023

Overview

`gpustat`

Just less than nvidia-smi?

NOTE: This works with NVIDIA Graphics Devices only, no AMD support as of now. Contributions are welcome!

Self-Promotion: A web interface of gpustat is available (in alpha)! Check out gpustat-web.

Usage

$ gpustat

Options:

--color : Force colored output (even when stdout is not a tty)
--no-color : Suppress colored output
-u, --show-user : Display username of the process owner
-c, --show-cmd : Display the process name
-f, --show-full-cmd : Display full command and cpu stats of running process
-p, --show-pid : Display PID of the process
-F, --show-fan : Display GPU fan speed
-e, --show-codec : Display encoder and/or decoder utilization
-P, --show-power : Display GPU power usage and/or limit (draw or draw,limit)
-a, --show-all : Display all gpu properties above
--watch, -i, --interval : Run in watch mode (equivalent to watch gpustat) if given. Denotes interval between updates. (#41)
--json : JSON Output (Experimental, #10)

Tips

To periodically watch, try gpustat --watch or gpustat -i (#41).
- For older versions, one may use watch --color -n1.0 gpustat --color.
Running nvidia-smi daemon (root privilege required) will make the query much faster and use less CPU (#54).
The GPU ID (index) shown by gpustat (and nvidia-smi) is PCI BUS ID, while CUDA differently assigns the fastest GPU with the lowest ID by default. Therefore, in order to make CUDA and gpustat use same GPU index, configure the CUDA_DEVICE_ORDER environment variable to PCI_BUS_ID (before setting CUDA_VISIBLE_DEVICES for your CUDA program): export CUDA_DEVICE_ORDER=PCI_BUS_ID.

Quick Installation

Install from PyPI:

pip install gpustat

If you don't have root privilege, please try to install on user namespace: pip install --user gpustat.

To install the latest version (master branch) via pip:

pip install git+https://github.com/wookayin/[email protected]

Note that starting from v1.0, gpustat will support only Python 3.4+. For older versions (python 2.7, <3.4), you can continue using gpustat v0.x.

Default display

[0] GeForce GTX Titan X | 77'C, 96 % | 11848 / 12287 MB | python/52046(11821M)

[0]: GPUindex (starts from 0) as PCI_BUS_ID
GeForce GTX Titan X: GPU name
77'C: Temperature
96 %: Utilization
11848 / 12287 MB: GPU Memory Usage
python/...: Running processes on GPU (and their memory usage)

Changelog

See CHANGELOG.md

License

MIT License

Comments

Error on calling nvidia-smi: Command 'ps ...' returned non-zero exit status 1

got above error msg when i run gpustat. but nvidia-smi works on my machine here are some details OS:Ubuntu 14.04.5 LTS Python Version: anaconda3.6

Error on calling nvidia-smi. Use --debug flag for details
Traceback (most recent call last):
  File "/usr/local/bin/gpustat", line 417, in print_gpustat                                                      gpu_stats = GPUStatCollection.new_query()
  File "/usr/local/bin/gpustat", line 245, in new_query
    return GPUStatCollection(gpu_list)
  File "/usr/local/bin/gpustat", line 218, in __init__
    self.update_process_information()
  File "/usr/local/bin/gpustat", line 316, in update_process_information
    processes = self.running_processes()
  File "/usr/local/bin/gpustat", line 275, in running_processes
    ','.join(map(str, pid_map.keys()))
  File "/usr/local/bin/gpustat", line 46, in execute_process
    stdout = check_output(command_shell, shell=True).strip()
  File "/home/xiyun/apps/anaconda3/lib/python3.6/subprocess.py", line 336, in check_output
    **kwargs).stdout
  File "/home/xiyun/apps/anaconda3/lib/python3.6/subprocess.py", line 418, in run
    output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command 'ps -o pid,user:16,comm -p1 -p 14471' returned non-zero exit status 1.

how can i fix this ?

bug

opened by feiwofeifeixiaowo 20

Faile to run ``gpustat --debug'': pynvml.NVMLError_LibraryNotFound: NVML Shared Library Not Found

Hi,

On Ubuntu 20.04 with Python 3.8.3, I failed to run gpustat --debug, as shown below:

$ gpustat --debug
Error on querying NVIDIA devices. Use --debug flag for details
Traceback (most recent call last):
  File "/home/werner/.pyenv/versions/3.8.3/envs/socks5-haproxy/lib/python3.8/site-packages/pynvml.py", line 644, in _LoadNvmlLibrary
    nvmlLib = CDLL("libnvidia-ml.so.1")
  File "/home/werner/.pyenv/versions/3.8.3/lib/python3.8/ctypes/__init__.py", line 373, in __init__
    self._handle = _dlopen(self._name, mode)
OSError: libnvidia-ml.so.1: cannot open shared object file: No such file or directory

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/werner/.pyenv/versions/3.8.3/envs/socks5-haproxy/lib/python3.8/site-packages/gpustat/__main__.py", line 19, in print_gpustat
    gpu_stats = GPUStatCollection.new_query()
  File "/home/werner/.pyenv/versions/3.8.3/envs/socks5-haproxy/lib/python3.8/site-packages/gpustat/core.py", line 281, in new_query
    N.nvmlInit()
  File "/home/werner/.pyenv/versions/3.8.3/envs/socks5-haproxy/lib/python3.8/site-packages/pynvml.py", line 608, in nvmlInit
    _LoadNvmlLibrary()
  File "/home/werner/.pyenv/versions/3.8.3/envs/socks5-haproxy/lib/python3.8/site-packages/pynvml.py", line 646, in _LoadNvmlLibrary
    _nvmlCheckReturn(NVML_ERROR_LIBRARY_NOT_FOUND)
  File "/home/werner/.pyenv/versions/3.8.3/envs/socks5-haproxy/lib/python3.8/site-packages/pynvml.py", line 310, in _nvmlCheckReturn
    raise NVMLError(ret)
pynvml.NVMLError_LibraryNotFound: NVML Shared Library Not Found

question documentation

opened by hongyi-zhao 18

Add full process info.

Fixes #50

I added -f, --show-full-cmd that show the full process info as discussed in #50.

Right now it shows the percent of CPU usage and the percent of system memory in use, but that can be changed.

Let me know what you think.

Example:

server1  Wed Jun 26 15:24:33 2019  418.67
[0] Tesla V100-SXM2-16GB | 34'C,  23 % |  1097 / 16130 MB | user1(1087M)
 └─ 72041 ( 80%,  0.24%): python /mnt/home/user1/git/horovod/examples/keras_mnist.py
[1] Tesla V100-SXM2-16GB | 36'C,  23 % |  1097 / 16130 MB | user1(1087M)
 └─ 72042 ( 80%,  0.24%): python /mnt/home/user1/git/horovod/examples/keras_mnist.py
[2] Tesla V100-SXM2-16GB | 35'C, 100 % |  2130 / 16130 MB | user2(777M) user1(1343M)
 ├─ 95638 (100%,  0.16%): /mnt/home/user2/anaconda3/envs/env/bin/python test_c10d.py
 └─ 72043 (100%,  0.24%): python /mnt/home/user1/git/horovod/examples/keras_mnist.py
[3] Tesla V100-SXM2-16GB | 34'C,  22 % |  1097 / 16130 MB | user1(1087M)
 └─ 72044 ( 40%,  0.24%): python /mnt/home/user1/git/horovod/examples/keras_mnist.py

new feature

opened by bethune-bryant 17

Extra character in watch colour mode on Ubuntu 17.10

When I use command watch --color -n1.0 gpustat --color I get a lot of extra ^: https://imgur.com/a/A9Fxc

This problem doesn't occur without watch. I'm on Ubuntu 17.10 with wayland.
bug

opened by Rizhiy 15

No such file or directory: '/proc/30094/stat'

I re-install gpustat by pip,it stall has error when I used gpustat:

root$ gpustat --debug
Error on querying NVIDIA devices. Use --debug flag for details
Traceback (most recent call last):
  File "/home/zhudd/anaconda3/lib/python3.7/site-packages/gpustat/__main__.py", line 19, in print_gpustat
    gpu_stats = GPUStatCollection.new_query()
  File "/home/zhudd/anaconda3/lib/python3.7/site-packages/gpustat/core.py", line 396, in new_query
    gpu_info = get_gpu_info(handle)
  File "/home/zhudd/anaconda3/lib/python3.7/site-packages/gpustat/core.py", line 365, in get_gpu_info
    process = get_process_info(nv_process)
  File "/home/zhudd/anaconda3/lib/python3.7/site-packages/gpustat/core.py", line 294, in get_process_info
    ps_process = psutil.Process(pid=nv_process.pid)
  File "/home/zhudd/anaconda3/lib/python3.7/site-packages/psutil/__init__.py", line 339, in __init__
    self._init(pid)
  File "/home/zhudd/anaconda3/lib/python3.7/site-packages/psutil/__init__.py", line 366, in _init
    self.create_time()
  File "/home/zhudd/anaconda3/lib/python3.7/site-packages/psutil/__init__.py", line 697, in create_time
    self._create_time = self._proc.create_time()
  File "/home/zhudd/anaconda3/lib/python3.7/site-packages/psutil/_pslinux.py", line 1459, in wrapper
    return fun(self, *args, **kwargs)
  File "/home/zhudd/anaconda3/lib/python3.7/site-packages/psutil/_pslinux.py", line 1641, in create_time
    values = self._parse_stat_file()
  File "/home/zhudd/anaconda3/lib/python3.7/site-packages/psutil/_common.py", line 340, in wrapper
    return fun(self)
  File "/home/zhudd/anaconda3/lib/python3.7/site-packages/psutil/_pslinux.py", line 1498, in _parse_stat_file
    with open_binary("%s/%s/stat" % (self._procfs_path, self.pid)) as f:
  File "/home/zhudd/anaconda3/lib/python3.7/site-packages/psutil/_pslinux.py", line 205, in open_binary
    return open(fname, "rb", **kwargs)
FileNotFoundError: [Errno 2] No such file or directory: '/proc/30094/stat'

so , what's wrong with my gpu,please help me

bug

opened by zhudd-hub 14

Use NVIDIA's official pynvml binding
Since 2021, NVIDIA provides an official python binding pynvml: https://pypi.org/project/nvidia-ml-py/#history which should replace a third-party community fork nvidia-ml-py3 that we have been using.

The main motivations are (1) to use an official library and (2) to add MIG support. See #102 for more details.

Need to test whether:

The new pynvml API works well on old & recent NVIDIA Drivers; maybe some monkey patching needed (see https://github.com/wookayin/gpustat/issues/102#issuecomment-892833816)

The new pynvml API works well on Windows (see #90)

/cc @XuehaiPan @Stonesjtu

Important Changes

The official python bindings nvidia-ml-py needs to be installed, not nvidia-ml-py3. When the legacy one is installed for some reason, an error will occur:

ImportError: pynvml is missing or an outdated version is installed.

To fix this error, please uninstall nvidia-ml-py3 and install nvidia-ml-py<=11.495.46 (please follow the instruction in the error message). Or you can [bypass] the validation if you really want.

Due to compatibility reasons, NVIDIA Driver version needs to be 450.66 or higher.

pynvml
opened by wookayin 13

pynvml not support lookup process info

When I call nvmlDeviceGetGraphicsRunningProcesses, raise below exception.

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
~/gitProject/venv/siren/lib64/python3.6/site-packages/pynvml/nvml.py in _nvmlGetFunctionPointer(name)
    759         try:
--> 760             _nvmlGetFunctionPointer_cache[name] = getattr(nvmlLib, name)
    761             return _nvmlGetFunctionPointer_cache[name]

/usr/lib64/python3.6/ctypes/__init__.py in __getattr__(self, name)
    355             raise AttributeError(name)
--> 356         func = self.__getitem__(name)
    357         setattr(self, name, func)

/usr/lib64/python3.6/ctypes/__init__.py in __getitem__(self, name_or_ordinal)
    360     def __getitem__(self, name_or_ordinal):
--> 361         func = self._FuncPtr((name_or_ordinal, self))
    362         if not isinstance(name_or_ordinal, int):

AttributeError: /lib64/libnvidia-ml.so.1: undefined symbol: nvmlDeviceGetGraphicsRunningProcesses_v2

During handling of the above exception, another exception occurred:

NVMLError_FunctionNotFound                Traceback (most recent call last)
<ipython-input-5-6d9d0902fdc2> in <module>
----> 1 nvmlDeviceGetGraphicsRunningProcesses(handle)

~/gitProject/venv/hstk/lib64/python3.6/site-packages/pynvml/nvml.py in nvmlDeviceGetGraphicsRunningProcesses(handle)
   2179
   2180 def nvmlDeviceGetGraphicsRunningProcesses(handle):
-> 2181     return nvmlDeviceGetGraphicsRunningProcesses_v2(handle)
   2182
   2183 def nvmlDeviceGetAutoBoostedClocksEnabled(handle):

~/gitProject/venv/hstk/lib64/python3.6/site-packages/pynvml/nvml.py in nvmlDeviceGetGraphicsRunningProcesses_v2(handle)
   2147     # first call to get the size
   2148     c_count = c_uint(0)
AttributeError                            Traceback (most recent call last)
~/gitProject/venv/hstk/lib64/python3.6/site-packages/pynvml/nvml.py in _nvmlGetFunctionPointer(name)
    759         try:
--> 760             _nvmlGetFunctionPointer_cache[name] = getattr(nvmlLib, name)
    761             return _nvmlGetFunctionPointer_cache[name]

/usr/lib64/python3.6/ctypes/__init__.py in __getattr__(self, name)
    355             raise AttributeError(name)
--> 356         func = self.__getitem__(name)
    357         setattr(self, name, func)

/usr/lib64/python3.6/ctypes/__init__.py in __getitem__(self, name_or_ordinal)
    360     def __getitem__(self, name_or_ordinal):
--> 361         func = self._FuncPtr((name_or_ordinal, self))
    362         if not isinstance(name_or_ordinal, int):

AttributeError: /lib64/libnvidia-ml.so.1: undefined symbol: nvmlDeviceGetGraphicsRunningProcesses_v2

During handling of the above exception, another exception occurred:

NVMLError_FunctionNotFound                Traceback (most recent call last)
<ipython-input-6-85e61951ad1d> in <module>
----> 1 nvmlDeviceGetGraphicsRunningProcesses_v2(handle)

~/gitProject/venv/hstk/lib64/python3.6/site-packages/pynvml/nvml.py in nvmlDeviceGetGraphicsRunningProcesses_v2(handle)
   2147     # first call to get the size
   2148     c_count = c_uint(0)
-> 2149     fn = _nvmlGetFunctionPointer("nvmlDeviceGetGraphicsRunningProcesses_v2")
   2150     ret = fn(handle, byref(c_count), None)
   2151

~/gitProject/venv/hstk/lib64/python3.6/site-packages/pynvml/nvml.py in _nvmlGetFunctionPointer(name)
    761             return _nvmlGetFunctionPointer_cache[name]
    762         except AttributeError:
--> 763             raise NVMLError(NVML_ERROR_FUNCTION_NOT_FOUND)
    764     finally:
    765         # lock is always freed

NVMLError_FunctionNotFound: Function Not Found

So, I guess may be is the pynvml change something lead to this problem #72

opened by hstk30 12

nvidia-smi is not recognized as an internal or external command: with 0.3.x versions on windows

C:>gpustat -cp 'nvidia-smi' is not recognized as an internal or external command, operable program or batch file. Error on calling nvidia-smi

C:>nvidia-smi --query-gpu=index,uuid,name,temperature.gpu,utilization.gpu,memory.used,memory.total --format=csv,noheader,nounits 0, GPU-9d01c9ef-1d73-7774-8b4f-5bee4b3bf644, GeForce GTX 1080 Ti, 28, 65, 9219, 11264 1, GPU-9da3de3f-cdf2-8ca9-504d-fd9bc414a78e, GeForce GTX 1080 Ti, 22, 0, 140, 11264

Any idea what might be the issue? Windows 10, Python 3.7.2, latest nvidia drivers, etc, as of the time of this post.
duplicate

opened by gotonickpappas 12
Not supported?

I tried it using

gpustat -cpFP --watch

I use Debian 11.

Here my result :

When I run something in gpu it sow me the amount of memory used only:

Any hints? I miss something?

Thanks.
invalid question

opened by git2013vb 11
Please make a new release
Hi!

I'm observing gpustat as a soft dependency for ray-project, and because currently released version (0.6.0) is not installable on Windows I'm facing hard times enabling this dependency in conda-forge.

Knowing the compatibility issue is fixed in master for quite some time, it would be really good if you could make a new release.

References:

PR to conda-forge feedstock of gpustat: https://github.com/conda-forge/gpustat-feedstock/pull/2

PR to add ray-project to conda-forge (where gpustat is needed): https://github.com/conda-forge/staged-recipes/pull/11160
opened by vnlitvinov 11
Add support for enc/dec gpu utilization (#79)

This PR only adds encoder and decoder utilization to --json from the cmdline, or to the GPUStat object if gpustat is used as a library.

The information is also exposed to the standard command line output via the -e or --show-codec flag

See issue #79
new feature

opened by ChaoticMind 11
Some low-level errors (like `pynvml.nvml.NVMLError_LibRmVersionMismatch`) result in nothing printed (std or diagnostic)
Describe the bug

Something caused a version mismatch somewhere and I can no longer use gpustat. Nothing at all is printed on stdout or stderr. Running with --debug prints nothing as well. I launched it as python -m pdb -m gpustat and stepped through until noticing an error raised in:

/opt/conda/lib/python3.8/site-packages/pynvml/nvml.py(718)

of type pynvml.nvml.NVMLError_LibRmVersionMismatch.

Screenshots or Program Output

Please provide the output of gpustat --debug and nvidia-smi. Or attach screenshots if applicable.

Environment information:

OS: Ubuntu 20.04

NVIDIA Driver version: 510.73.08

The name(s) of GPU card: Tesla V100-SXM2

gpustat version: 1.0.0

pynvml version: 11.495.46

Additional context

Add any other context about the problem here.
bug pynvml waiting for response
opened by munael 1
Add noexcept funcitons `gpu_count` and `is_available`

Commented in https://github.com/wookayin/gpustat/issues/142#issuecomment-1336066463, add new noexcept funcitons gpu_count and is_available.

Closes #142

opened by XuehaiPan 0

On windows, error is raised if nvidia query cannot find a card

Describe the bug

python -m gpustat errors if user is not admin or if nvidia drivers are installed but no NVidia card is available

Screenshots or Program Output

Please provide the output of gpustat --debug and nvidia-smi. Or attach screenshots if applicable.

As a regular user:

>python -m gpustat --debug
Error on querying NVIDIA devices. Use --debug flag for details
Traceback (most recent call last):
  File "d:\temp\ray_venv\lib\site-packages\gpustat\cli.py", line 20, in print_gpustat
    gpu_stats = GPUStatCollection.new_query(debug=debug)
  File "d:\temp\ray_venv\lib\site-packages\gpustat\core.py", line 362, in new_query
    N.nvmlInit()
  File "d:\temp\ray_venv\lib\site-packages\pynvml.py", line 1450, in nvmlInit
    nvmlInitWithFlags(0)
  File "d:\temp\ray_venv\lib\site-packages\pynvml.py", line 1440, in nvmlInitWithFlags
    _nvmlCheckReturn(ret)
  File "d:\temp\ray_venv\lib\site-packages\pynvml.py", line 765, in _nvmlCheckReturn
    raise NVMLError(ret)
pynvml.NVMLError_NoPermission: Insufficient Permissions

As an admin:

Error on querying NVIDIA devices. Use --debug flag for details
Traceback (most recent call last):
  File "d:\temp\ray_venv\lib\site-packages\gpustat\cli.py", line 18, in print_gpustat
    gpu_stats = GPUStatCollection.new_query(debug=debug)
  File "d:\temp\ray_venv\lib\site-packages\gpustat\core.py", line 370, in new_query
    N.nvmlInit()
  File "d:\temp\ray_venv\lib\site-packages\pynvml.py", line 1450, in nvmlInit
    nvmlInitWithFlags(0)
  File "d:\temp\ray_venv\lib\site-packages\pynvml.py", line 1440, in nvmlInitWithFlags
    _nvmlCheckReturn(ret)
  File "d:\temp\ray_venv\lib\site-packages\pynvml.py", line 765, in _nvmlCheckReturn
    raise NVMLError(ret)
pynvml.NVMLError_DriverNotLoaded: Driver Not Loaded

As a regular user

>nvidia-smi
NVIDIA-SMI has failed because you are not:
        a) running as an administrator or
        b) there is not at least one TCC device in the system

As an admin

>nvidia-smi
NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running. This can also be happening if non-NVIDIA GPU is running as primary display, and NVIDIA GPU is in WDDM mode.

Environment information:

OS: windows10
NVIDIA Driver version: 11.7 (Edit: changed from 11.3 to 11.7)
The name(s) of GPU card: None
gpustat version: 1.1.0
pynvml version: nvidia-ml-py 11.495.46

Additional context

Add any other context about the problem here.

enhancement

opened by mattip 8

Option to display a bar besides the number to indicate memory usage

Hi,

Thanks for the program, very useful. I was thinking a nice additional option could be to show the 'fullness' of the GPU ram with a bar instead of just with the number. This for the use case of quickly identifying (almost) empty GPUs when sharing a bunch of GPUs with labmates (eg see image: some of them are full, some have a lot of space left, a bar could show this more 'directly' I feel). See second image for roughly what I mean:
new feature

opened by Natithan 2

Display thermal throttles

nvidia-smi lists Max Clocks and current Clocks. It would be nice to be able to see these, and maybe display these in a % so you know how much you're throttled.

example:

    Clocks
        Graphics                          : 2025 MHz
        SM                                : 2025 MHz
        Memory                            : 10251 MHz
        Video                             : 1785 MHz
    Max Clocks
        Graphics                          : 2100 MHz
        SM                                : 2100 MHz
        Memory                            : 10501 MHz
        Video                             : 1950 MHz

new feature

opened by JohnCoates 0

Releases(v1.0)

v1.0(Sep 4, 2022)
Add windows support, retire Python 2.x, use official NVML bindings, etc. Github Milestone: https://github.com/wookayin/gpustat/issues?q=milestone%3A1.0

Breaking Changes

Retire Python 2 (#66). Add CI tests for python 3.8 and higher.

Use official nvidia python bindings (#107).

Due to API incompatibility issues, the nvidia driver version should be R450 or higher in order for process information to be correctly displayed.

NOTE: nvidia-ml-py<=11.495.46 is required (nvidia-ml-py3 shall not be used).

Use of '--gpuname-width' will truncate longer GPU names (#47).

New Feature and Enhancements

Add windows support again, by switching to blessed (#78, @skjerns)

Add '--show-codec (-e)' option: display encoder/decoder utilization (#79, @ChaoticMind)

Add full process information (-f) (#65, @bethune-bryant)

Add '--show-all (-a)' flag (#64, @Michaelvll)

'--debug' will show more detailed stacktrace/exception information

Use unicode symbols (#58, @arinbjornk)

Include nvidia driver version into JSON output (#10)

Bug Fixes

Fix color/highlight issues on power usage

Make color/highlight work correctly when TERM is not set

Do not list the same GPU process more than once (#84)

Fix a bug where querying zombie process can throw errors (#95)

Fix a bug where psutil may fail to get process info on Windows (#121, #123, @mattip)

Etc.

Internal improvements on code style and tests

CI: Use Github Actions

Source code(tar.gz)
Source code(zip)
v1.0.0rc1(Jul 5, 2022)
[Breaking changes] Retire Python 2 (#66). Add CI tests for python 3.8.

[Breaking changes] Backward-incompatible changes on JSON fields (#10)

[Breaking changes] Use official nvidia python bindings (#107).

Due to API incompatibility issues, the nvidia driver version should be R450 or higher in order for process information to be correctly displayed.

[New Feature] Add '--show-codec (-e)' option: display encoder/decoder utilization (#79)

[Enhancement] Re-add windows support, by switching to blessed (#78, @skjerns)

[Enhancement] Use unicode symbols (#58, @arinbjornk)

[Enhancement] Add full process information (-f) (#65, @bethune-bryant)

[Enhancement] Add '--show-all (-a)' flag (#64)

[Enhancement] '--debug' will show more stacktrace/exception information

[Bugfix] Fix color/highlight issues on power usage

[Bugfix] Make color/highlight work correctly when TERM is not set

[Bugfix] Do not list the same GPU process more than once (#84)

[Bugfix] Fix a bug where querying zombie process can throw errors (#95)

[Bugfix] Fix a bug where psutil may fail to get process info on Windows (#121, #123, @mattip)

[Etc] Internal improvements on code style and tests

[Etc] CI: Use Github Actions

Source code(tar.gz)
Source code(zip)
v0.6.0(Jul 22, 2019)
v0.6.0 (2019/07/22)

[Feature] Add a flag for fan speed (-F, --show-fan) (#62, #63), contributed by @bethune-bryant

[Enhancement] Align query datetime in the header with respect to --gpuname-width parameter.

[Enhancement] Alias gpustat --watch to -i/--interval option.

[Enhancement] Display NVIDIA driver version in the header (#53)

[Bugfix] Minor fixes on debug mode

[Etc] Travis: python 3.7

Note: This will be the last version that supports python 2.7 and <3.4.
Source code(tar.gz)
Source code(zip)
v0.5.0(Sep 10, 2018)
Changelog

[Feature] Built-in watch mode (gpustat -i) (#7, #41).

Contributed by @drons and @Stonesjtu, Thanks!

[Bug] Fix the problem extra character was showing (#32)

[Bug] Fix a bug in json mode where process information is unavailable (#45)

[Etc.] Refactoring of internal code structure: gpustat is now a package (#33)

[Etc.] More unit tests and better use of code styles (flake8)

See also: Milestone 0.5
Source code(tar.gz)
Source code(zip)
v0.4.1(Dec 2, 2017)

Changes since 0.4.0

Fix a bug that might happen when power_draw is not available (#16)
Source code(tar.gz)
Source code(zip)
v0.4.0(Nov 2, 2017)
Changelog

gpustat is no more a zero-dependency script and now depends on some packages. Please install using pip.

Use nvidia-ml-py bindings and psutil to replace command-line call of nvidia-smi and ps (#20, Thanks to @Stonesjtu).

A behavior on pipe is changed; it will not be in color by default, use --color explicitly. (e.g. watch --color -n1.0 gpustat --color)

Fix a bug in handling stale-state or zombie process (#16)

Include non-CUDA graphics applications in the process list (#18, Thanks to @kapsh)

Support power usage (#13, #28, Thanks to @cjw85)

Support --debug option

Source code(tar.gz)
Source code(zip)
v0.3.2(Sep 17, 2017)
Maintenance fix for python3. Changes after v0.3.1:

Support python3 in --json option (#21)

Source code(tar.gz)
Source code(zip)
v0.3.1(Apr 10, 2017)
Minor update. CHANGELOG:

Experimental JSON output feature (#10)

Add some properties and dict-style access for GPUStat class

Fix Python3 compatibility

Source code(tar.gz)
Source code(zip)
v0.2(Nov 19, 2016)
Changelog

New: --gpuname-width option

Display long usernames correctly

Support older NVIDIA cards (#6)

Source code(tar.gz)
Source code(zip)

Owner

Jongwook Choi

Researcher & Developer & Productivity Geek. PhD Student at @umich.

GitHub Repository https://pypi.python.org/pypi/gpustat

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Related tags

Overview

gpustat

Usage

Tips

Quick Installation

Default display

Changelog

License

Comments

Important Changes

Releases(v1.0)

v1.0(Sep 4, 2022)

Breaking Changes

New Feature and Enhancements

Bug Fixes

Etc.

v1.0.0rc1(Jul 5, 2022)

v0.6.0(Jul 22, 2019)

v0.6.0 (2019/07/22)

v0.5.0(Sep 10, 2018)

Changelog

v0.4.1(Dec 2, 2017)

Changes since 0.4.0

v0.4.0(Nov 2, 2017)

Changelog

v0.3.2(Sep 17, 2017)

v0.3.1(Apr 10, 2017)

v0.2(Nov 19, 2016)

Owner

Jongwook Choi

Python 3 Bindings for the NVIDIA Management Library

A NumPy-compatible array library accelerated by CUDA

A Python function for Slurm, to monitor the GPU information

QPT-Quick packaging tool 前项式Python环境快捷封装工具

A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

cuDF - GPU DataFrame Library

📊 A simple command-line utility for querying and monitoring GPU status

CUDA integration for Python, plus shiny features

Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.

Python interface to GPU-powered libraries

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Conda package for artifact creation that enables offline environments. Ideal for air-gapped deployments.

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

cuSignal - RAPIDS Signal Processing Library

cuML - RAPIDS Machine Learning Library

Library for faster pinned CPU <-> GPU transfer in Pytorch

ArrayFire: a general purpose GPU library.

General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases.

cuGraph - RAPIDS Graph Analytics Library

`gpustat`