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python版本的两款NVIDIA显卡管理查询工具

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本文所述如题; 给出两个python版本的NVIDIA显卡管理查询工具 1. py3nvml github下载地址: ​​https://github.com/fbcotter/py3nvml​​ Requires Python 3.5+. Installation From PyPi: $ pip install py3nvml From GitHub:

本文所述如题;

给出两个python版本的NVIDIA显卡管理查询工具


1.  py3nvml

github下载地址:

​​https://github.com/fbcotter/py3nvml​​


Requires

Python 3.5+.


Installation

From PyPi:

$ pip install py3nvml

From GitHub:

$ pip install -e git+https://github.com/fbcotter/py3nvml#egg=py3nvml

Or, download and pip install:

$ git clone https://github.com/fbcotter/py3nvml
$ cd py3nvml
$ pip install .


2.   pyvnml

github地址:

​​https://github.com/gpuopenanalytics/pynvml​​



Requires

Python 3, or an earlier version with the ctypes module.

Installation

pip install .

Usage

You can use the lower level nvml bindings

>>> from pynvml import *
>>> nvmlInit()
>>> print("Driver Version:", nvmlSystemGetDriverVersion())
Driver Version: 410.00
>>> deviceCount = nvmlDeviceGetCount()
>>> for i in range(deviceCount):
... handle = nvmlDeviceGetHandleByIndex(i)
... print("Device", i, ":", nvmlDeviceGetName(handle))
...
Device 0 : Tesla V100

>>> nvmlShutdown()

Or the higher level nvidia_smi API

from pynvml.smi import nvidia_smi
nvsmi = nvidia_smi.getInstance()
nvsmi.DeviceQuery('memory.free, memory.total')from pynvml.smi import nvidia_smi
nvsmi = nvidia_smi.getInstance()
print(nvsmi.DeviceQuery('--help-query-gpu'), end='\n')


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