1、环境说明
硬件: Nvidia Orin NX 16GB
软件：Jetson Linux R35.3.1
2、工具安装部署
GPU的压力测试主要使用工具：
https://github.com/anseeto/jetson-gpu-burn
CPU的压力测试主要使用工具 stress
注意安装 jetson-gpu-burn需要在 /etc/apt/sources.list 添加如下源：
root@w:~# cat /etc/apt/sources.list.d/nvidia-l4t-apt-source.list
# SPDX-FileCopyrightText: Copyright (c) 2019-2021 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
#
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
# property and proprietary rights in and to this material, related
# documentation and any modifications thereto. Any use, reproduction,
# disclosure or distribution of this material and related documentation
# without an express license agreement from NVIDIA CORPORATION or
# its affiliates is strictly prohibited.
deb https://repo.download.nvidia.com/jetson/common r35.3 main
deb https://repo.download.nvidia.com/jetson/t234 r35.3 main
简单点操作：
cat /etc/apt/sources.list.d/nvidia-l4t-apt-source.list >> /etc/apt/sources.list
然后执行如下安装命令进行安装
sudo apt-get update
sudo apt-get install cuda-toolkit-11-4
sudo apt-get install stress
sudo apt-get -y install pip
sudo apt-get -y install python-pip
sudo -H pip install -U jetson-stats在设备上下载jetson-gpu-burn 源码进行编译
git clone https://github.com/anseeto/jetson-gpu-burn.git
cd jetson-gpu-burn
make
编译成功会生成一个 gpu_burn 的二进制可执行程序，执行该程序即可跑满gpu.
3、观测不同电源模式进行CPU、GPU性能和温度
跑满CPU：8个核
root@w:~# stress -c 8 &
[1] 3302
root@w:~# stress: info: [3302] dispatching hogs: 8 cpu, 0 io, 0 vm, 0 hdd
跑满GPU：
root@w:~/jetson-gpu-burn# ./gpu_burn 1000
Run length not specified in the command line. Burning for 10 secs执行jtop命令观察
![[Orin Nx] 如何跑满GPU和CPU，观察温度和散热性能？](https://imgs.yssmx.com/Uploads/2023/06/500663-1.png)
可以看到我们设备的电源模式是最大功率MAXN的模式，GPU 918MHz和CPU 2.0GHz 8个核都已经全负荷工作，此时实时的功率24.8W左右，CPU和GPU的温度可以实时看到。
如果设备的散热性能不好的话，CPU和GPU的温度会很高，可能会影响性能表现，比如GPU和CPU会在高温时出现降频。
下面是Orin Nx模块的最大性能和工作温度范围：
![[Orin Nx] 如何跑满GPU和CPU，观察温度和散热性能？](https://imgs.yssmx.com/Uploads/2023/06/500663-2.png)
![[Orin Nx] 如何跑满GPU和CPU，观察温度和散热性能？](https://imgs.yssmx.com/Uploads/2023/06/500663-3.png)
如果要Orin Nx达到最大性能，设备的散热问题做好设计是不可忽略的。
4、trouble-shot:
root@w:~# jtop
Traceback (most recent call last):
File "/usr/local/bin/jtop", line 8, in <module>
sys.exit(main())
File "/usr/local/lib/python3.8/dist-packages/jtop/__main__.py", line 159, in main
curses.wrapper(JTOPGUI, jetson, pages, init_page=args.page,
File "/usr/lib/python3.8/curses/__init__.py", line 105, in wrapper
return func(stdscr, *args, **kwds)
File "/usr/local/lib/python3.8/dist-packages/jtop/gui/jtopgui.py", line 79, in __init__
NColors(color_filter)
File "/usr/local/lib/python3.8/dist-packages/jtop/gui/lib/colors.py", line 43, in __init__
curses.init_pair(NColors.RED, curses.COLOR_RED if not color_filter else curses.COLOR_BLUE, curses.COLOR_BLACK)
_curses.error: init_pair() returned ERR
解决办法：
export TERM='xterm-256color'
root@w:~# jtop
The jtop.service is not active. Please run:
sudo systemctl restart jtop.service
解决方法：文章来源：https://www.toymoban.com/news/detail-500663.html
systemctl restart jtop.service 文章来源地址https://www.toymoban.com/news/detail-500663.html
到了这里，关于[Orin Nx] 如何跑满GPU和CPU，观察温度和散热性能？的文章就介绍完了。如果您还想了解更多内容，请在右上角搜索TOY模板网以前的文章或继续浏览下面的相关文章，希望大家以后多多支持TOY模板网！
