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https://github.com/gpuopenanalytics/pynvml

Provide Python access to the NVML library for GPU diagnostics
https://github.com/gpuopenanalytics/pynvml

Last synced: 8 months ago
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Provide Python access to the NVML library for GPU diagnostics

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README

          

> [!WARNING]
>
> **This project has been deprecated.**
>
> **The `pynvml` module is NOT developed or maintained in this project!**
>
> This project provides unofficial NVML Python utilities (i.e. the `pynvml_utils` module).
> The `pynvml_utils` module is intended for demonstration purposes only.
> There is no guarantee for long-term maintenence or support.
>
> The `pynvml_utils` module depends on the official NVML bindings
> published by NVIDIA under a different `nvidia-ml-py` project
> (see: https://pypi.org/project/nvidia-ml-py/).
>

Python utilities for the NVIDIA Management Library
===============================================================

This project provides unofficial Python utilities for the
NVIDIA Management Library (NVML).

For information about the NVML library, see the NVML developer page
http://developer.nvidia.com/nvidia-management-library-nvml

Requires
--------
`nvidia-ml-py`.

Installation
------------

pip install .

Usage
-----

Bindings for the high-level `nvidia-smi` API are available
in `pynvml_utils.nvidia_smi`:

> [!WARNING]
> The `nvidia_smi` module is intended for demonstration purposes only.
> There is no guarantee for long-term maintenence or support.

```python
from pynvml_utils import nvidia_smi
nvsmi = nvidia_smi.getInstance()
nvsmi.DeviceQuery('memory.free, memory.total')
```

```python
from pynvml_utils import nvidia_smi
nvsmi = nvidia_smi.getInstance()
print(nvsmi.DeviceQuery('--help-query-gpu'), end='\n')
```

Release Notes
-------------

- Version 13.0.1
- Both pynvml and pynvml_utils are now deprecated.
- Pin to nvidia-ml-py>=12.0.0

Old Releases
------------

- Version 2.285.0
- Added new functions for NVML 2.285. See NVML documentation for more information.
- Ported to support Python 3.0 and Python 2.0 syntax.
- Added nvidia_smi.py tool as a sample app.
- Version 3.295.0
- Added new functions for NVML 3.295. See NVML documentation for more information.
- Updated nvidia_smi.py tool
- Includes additional error handling
- Version 4.304.0
- Added new functions for NVML 4.304. See NVML documentation for more information.
- Updated nvidia_smi.py tool
- Version 4.304.3
- Fixing nvmlUnitGetDeviceCount bug
- Version 5.319.0
- Added new functions for NVML 5.319. See NVML documentation for more information.
- Version 6.340.0
- Added new functions for NVML 6.340. See NVML documentation for more information.
- Version 7.346.0
- Added new functions for NVML 7.346. See NVML documentation for more information.
- Version 7.352.0
- Added new functions for NVML 7.352. See NVML documentation for more information.
- Version 8.0.0
- Refactor code to a nvidia_smi singleton class
- Added DeviceQuery that returns a dictionary of (name, value).
- Added filter parameters on DeviceQuery to match query api in nvidia-smi
- Added filter parameters on XmlDeviceQuery to match query api in nvidia-smi
- Added integer enumeration for filter strings to reduce overhead for performance monitoring.
- Added loop(filter) method with async and callback support
- Version 8.0.1
- Restructuring directories into two packages (pynvml and nvidia_smi)
- Adding initial tests for both packages
- Some name-convention cleanup in pynvml
- Version 8.0.2
- Added NVLink function wrappers for pynvml module
- Version 8.0.3
- Added versioneer
- Fixed nvmlDeviceGetNvLinkUtilizationCounter bug
- Version 8.0.4
- Added nvmlDeviceGetTotalEnergyConsumption
- Added notes about NVML permissions
- Fixed version-check testing
- Version 11.0.0
- Updated nvml.py to CUDA 11
- Updated smi.py DeviceQuery to R460
- Aligned nvml.py with latest nvidia-ml-py deployment
- Version 11.4.0
- Updated nvml.py to CUDA 11.4
- Updated smi.py NVML_BRAND_NAMES
- Aligned nvml.py with latest nvidia-ml-py deployment (11.495.46)
- Version 11.4.1
- Fix comma bugs in nvml.py
- Version 11.5.0
- Updated nvml.py to support CUDA 11.5 and CUDA 12
- Aligned with latest nvidia-ml-py deployment (11.525.84)
- Version 11.5.2
- Relocated smi bindings to new pynvml_utils module
- Updated README to encourage migration to nvidia-ml-py
- Version 11.5.3
- Update versioneer
- Version 12.0.0
- Remove pynvml module and depend on nvidia-ml-py instead
- Pin to nvidia-ml-py>=12.0.0,<13.0.0a0