windows如何查看nvidia显卡（GPU）的利用率和温度

最新推荐文章于 2024-12-10 16:08:14 发布

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最新推荐文章于 2024-12-10 16:08:14 发布

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原文链接：http://www.cnblogs.com/jins-note/p/9636805.html

本文详细介绍了如何在Windows系统中利用nvidia-smi工具查看NVIDIA显卡（GPU）的利用率和温度。由于不支持显示每个程序的显存占用，文章提供了通过切换到TCC模式来获取相关信息的方法。同时，对于高内存使用情况，解释了TensorFlow的内存分配策略，并提供了一种更细粒度的内存控制方式。

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windows如何查看nvidia显卡（GPU）的利用率和温度

nvidia-smi

只要在文件夹C:\Program Files\NVIDIA Corporation\NVSMI里找到文件nvidia-smi.exe，把该文件拖到命令提示符窗口（win+R，再输入‘CMD’进入），就可以显示关于GPU的信息，如下图所示：

Windows 上不显示每个程序显存占用 N/A nvidia-smi

主要原因是这个功能在显卡显示画面时不能用

Not available in WDDM driver model

If you perform the following : nvidia-smi -q you will see the following:

Processes
        Process ID                  : 6564
            Type                    : C+G
            Name                    : C:\Windows\explorer.exe
            Used GPU Memory         : Not available in WDDM driver model

Not available in WDDM driver model => WDDM stand for Windows Display Driver Model. You can switch to TCC and obtain the information with the command: nvidia-smi -dm 1, however this operation can only performed if you do not have any display attached to the GPU. So... It's mostly impossible...

By the way, don't worry about a high memory usage, Tensorflow reserve as much GPU memory as it can to speed up its processes. If you prefer a finer grained control on the memory taken use the following (it may slow down a little bit your computations):

config = tf.ConfigProto()
config.gpu_options.allow_growth = True
sess = tf.Session(config=config)

You can create a dual boot on Ubuntu or just forget about this.

来源： https://stackoverflow.com/questions/44227767/nvidia-smi-does-not-display-memory-usage

https://zhuanlan.zhihu.com/p/29005381

来自为知笔记(Wiz)

转载于:https://www.cnblogs.com/jins-note/p/9636805.html