请问有哪些Python版本的NVIDIA显卡管理查询工具可供选择？

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原文：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](https://github.com/fbcotter/py3nvml)

Requires Python 3.5+. Installation From PyPi: $ pip install py3nvml From GitHub: “

改写后：本文主要介绍NVIDIA显卡管理查询工具。以下提供两种Python版本的工具：

1.py3nvml：可在GitHub下载，地址为[此处](https://github.com/fbcotter/py3nvml)。需要Python 3.5或更高版本。

在PyPi安装：`pip install py3nvml` GitHub安装方式：[请参考](https://github.com/fbcotter/py3nvml)。

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：

​​github.com/fbcotter/py3nvml​​

Requires

Python 3.5+.

Installation

From PyPi:

$ pip install py3nvml

From GitHub:

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

Or, download and pip install:

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

2. pyvnml

github地址：

​​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')