【linux 常用命令】查看gpu、显卡常用命令

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【linux 常用命令】查看gpu、显卡常用命令

2024-07-11 21:58| 来源: 网络整理| 查看: 265

1.查看显卡基本信息 lspci | grep -i nvidia 2.查看显卡驱动版本 nvidia-smi -a 3.查看gpu使用情况 nvidia-smi

(spam) [dongli@dt-gpu-1 train]$ nvidia-smi Fri Sep 27 16:42:33 2019 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 418.87.00 Driver Version: 418.87.00 CUDA Version: 10.1 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 Tesla P40 Off | 00000000:82:00.0 Off | 0 | | N/A 44C P0 54W / 250W | 22057MiB / 22919MiB | 0% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 125983 C python 22047MiB | +-----------------------------------------------------------------------------+ (spam) [dongli@dt-gpu-1 train]$ lspci |grep -i nvidia 82:00.0 3D controller: NVIDIA Corporation GP102GL [Tesla P40] (rev a1) (spam) [dongli@dt-gpu-1 train]$ lspci | grep -i nvidia 82:00.0 3D controller: NVIDIA Corporation GP102GL [Tesla P40] (rev a1) (spam) [dongli@dt-gpu-1 train]$

Drivers 驱动

CUDA-一种由Nvidia推出的通用并行计算架构和应用程序编程接口模型。02 cuDNN-一套Nvidia专门为深度神经网络设计的GPU计算加速库。

> nvidia-smi 展示nvidia显卡使用信息

4、动态查看gpu使用情况

watch -n 1 nvidia-smi +-----------------------------------------------------------------------------+ | NVIDIA-SMI 418.87.00 Driver Version: 418.87.00 CUDA Version: 10.1 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 Tesla P40 Off | 00000000:82:00.0 Off | 0 | | N/A 31C P0 47W / 250W | 0MiB / 22919MiB | 0% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+


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