在楼主写这篇教程贴的时候,距离tensorflow2.0发布已过去近6个月了。楼主在高三暑假时购入了jetson nano,但是由于学业比较繁忙,所以板子一直吃灰了。大一寒假正好时间比较多,所以开始继续折腾jetson nano了。并将自己学习jetson nano时的经验进行分享。这样既方便自己后期溯源,又能方便对jetson nano感兴趣的人快速入门,少走弯路。
开源地址:
gitee:www.gitee.com/xddcore/Jetson_Nano
github:www.github.com/xddcore/Jetson_Nano
PS:本篇教程基于目前(2020.1.20)我上传在gitee的教程整理,如需最新教程和代码,还请访问gitee或github。(喜欢的朋友可以点个Star呀,疯狂暗示)
教程正文开始(请大家原谅我三脚猫的英语水平QAQ)
tensorflow 2.0 pack
How to get tensorflow_gpu-2.0.0+nv19.11-cp36-cp36m-linux_aarch64.whl?
链接:https://pan.baidu.com/s/19YReceD2QxgcUwmxgZBqdA
提取码:o2yh
How to ues?
pip3 install tensorflow_gpu-2.0.0+nv19.11-cp36-cp36m-linux_aarch64.whl --user
PS:
0.The python version is must be 3.6
1.The pip version is must be 19.3.1
2.The python setuptools version is must be >=41.0.0
3.The pyasn1-moduled version is must be >=0.2.1
4.The grpcio version is must be >=1.24.3
These have some information to help your achieve above software’s evironment:
if your don’t have pip,you need run:
sudo apt-get install python3-pip python3-dev
if your pip version is too low, you can run:
pip install --upgrade pip --user
and then 1:
sudo vim /usr/bin/pip3
modified file to:
#!/usr/bin/python3
# GENERATED BY DEBIAN
import sys
# Run the main entry point, similarly to how setuptools does it, but because
# we didn't install the actual entry point from setup.py, don't use the
# pkg_resources API.
from pip import __main__
if __name__ == '__main__':
sys.exit(__main__._main())
and then 2:
sudo vim /usr/local/bin/pip3
modified file to:
#!/usr/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from pip import __main__
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(__main__._main())
If you run:
pip3 -V
and the terminal print:
pip 19.3.1 from xxxxx #the xxxxx is your url
and the pip 19.3.1 install is success!
if your python setuptools version is too low,you can run:
pip3 install --upgrade setuptools --user
and then the setuptools will be upgrade!
if your pyasn1-modules version is too low,you can run:
pip3 install --upgrade pyasn1-modules --user
and then the pyasn1-modules will be upgrade!
if your grpcio version is too low,you can run:
pip3 install --upgrade grpcio --user
and then the grpcio will be upgrade!
In the end, When you finish above step,and then enter code in terminal:
python3
import tensorflow as tf
tf.__version__
The terminal will print:
'2.0.0'