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pyNVML

Note: I'm no longer maintaining this code, so please fork it and improve it even more!

Python bindings to the NVIDIA Management Library

Provides a Python interface to GPU management and monitoring functions.

This is a wrapper around the NVML library. For information about the NVML library, see the NVML developer page http://developer.nvidia.com/nvidia-management-library-nvml

Download the latest package from: http://pypi.python.org/pypi/nvidia-ml-py/

Note this file can be run with python -m doctest -v README.md although the results are system dependent

Requirements

Python 2.5+, or an earlier version with the ctypes module.

Installation

    sudo python setup.py install

Or locally:

    python setup.py install --user

Usage

    >>> from pynvml import *
    >>> nvmlInit()
    >>> print "Driver Version:", nvmlSystemGetDriverVersion()
    Driver Version: 352.00
    >>> deviceCount = nvmlDeviceGetCount()
    >>> for i in range(deviceCount):
    ...     handle = nvmlDeviceGetHandleByIndex(i)
    ...     print "Device", i, ":", nvmlDeviceGetName(handle)
    ... 
    Device 0 : Tesla K40c
    
    >>> nvmlShutdown()

Additionally, see nvidia_smi.py. A sample application.

Function

Python methods wrap NVML functions, implemented in a C shared library. Each function's use is the same with the following exceptions:

  • Instead of returning error codes, failing error codes are raised as Python exceptions.
    >>> try:
    ...     nvmlDeviceGetCount()
    ... except NVMLError as error:
    ...     print(error)
    ... 
    Uninitialized
  • C function output parameters are returned from the corresponding Python function left to right.
    nvmlReturn_t nvmlDeviceGetEccMode(nvmlDevice_t device,
                                      nvmlEnableState_t *current,
                                      nvmlEnableState_t *pending);
    >>> nvmlInit()
    >>> handle = nvmlDeviceGetHandleByIndex(0)
    >>> (current, pending) = nvmlDeviceGetEccMode(handle)
  • C structs are converted into Python classes.
    nvmlReturn_t DECLDIR nvmlDeviceGetMemoryInfo(nvmlDevice_t device,
                                                 nvmlMemory_t *memory);
    typedef struct nvmlMemory_st {
        unsigned long long total;
        unsigned long long free;
        unsigned long long used;
    } nvmlMemory_t;
    >>> info = nvmlDeviceGetMemoryInfo(handle)
    >>> print "Total memory:", info.total
    Total memory: 5636292608
    >>> print "Free memory:", info.free
    Free memory: 5578420224
    >>> print "Used memory:", info.used
    Used memory: 57872384
  • Python handles string buffer creation.
    nvmlReturn_t nvmlSystemGetDriverVersion(char* version,
                                            unsigned int length);
    >>> version = nvmlSystemGetDriverVersion();
    >>> nvmlShutdown()

For usage information see the NVML documentation.

Variables

All meaningful NVML constants and enums are exposed in Python.

The NVML_VALUE_NOT_AVAILABLE constant is not used. Instead None is mapped to the field.

Release Notes

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.

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Bugfixing fork of Python bindings for the NVIDIA GPU Management Library

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