Jetson Xavier NX成功配置TensorFlow 1.15

1、确定tensorfolw版本

首先根据 nx  系统版本安装匹配的tensorflow，参考官方给出的建议：链接


   我手上nx系统是JetPack4.5，所以装的1.15

2、安装相关 依赖

可以先按照官方给出的依赖包都安装一遍

sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran
sudo apt-get install python3-pip
sudo pip3 install -U pip testresources setuptools==49.6.0
sudo pip3 install -U numpy==1.16.1 future==0.18.2 mock==3.0.5 h5py==2.10.0 keras_preprocessing==1.1.1 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11

3、安装 tensorflow

因为我想装的tensorflow1.x

sudo pip3 install --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v45 'tensorflow<2'

假如tensorflow安装不成功，可以尝试参考博文的方法

sudo apt-get install python3-pip
python3 -m pip install --upgrade pip 
sudo vim /usr/bin/pip3

输入"i"进入编辑模式

//源文件
from pip import main
if __name__ == '__main__':
    sys.exit(main())

//修改后：
from pip import __main__
if __name__ == '__main__':
    sys.exit(__main__._main())

先按“Esc”，再输入“wq!”保存退出

   再把下面依赖都一一装上

sudo apt-get install python3-scipy 
sudo apt-get install python3-pandas
sudo apt-get install python3-sklearn
sudo apt-get install libhdf5-serial-dev hdf5-tools

sudo pip3 install Cython  -i http://pypi.douban.com/simple/ --trusted-host pypi.douban.com
sudo pip3 install absl-py==0.7.0
sudo pip3 install gast==0.2.2
sudo pip3 install protobuf==3.11.2
sudo pip3 install wrapt==1.11.2
sudo pip3 install astor==0.8.1
sudo pip3 install google-pasta=0.1.8
sudo pip3 install keras  -i http://pypi.douban.com/simple/ --trusted-host pypi.douban.com

sudo pip3 install --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v45 'tensorflow<2'

4、测试

nx@nx-desktop:~$ python3
Python 3.6.9 (default, Jan 26 2021, 15:33:00) 
[GCC 8.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
2021-05-20 20:02:20.848291: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.2
WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
>>> print(tf.__version__)
1.15.5
>>> 

5、报错 汇总

（1）tensorflow版本不匹配

nx@nx-desktop:~$ python3
Python 3.6.9 (default, Jan 26 2021, 15:33:00) 
[GCC 8.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
Illegal instruction (core dumped)

解决 方法：JetPack版本与tensorflow版本匹配，一开始我装的是tensorflow_gpu-1.14.0+nv19.10，卸载，重新装tensorflow1.15

sudo pip uninstall tensorflow

（2）缺失模块

No module named 'astor'
No module named 'termcolor'

解决方法：卸载重装

sudo pip3 uninstall astor
sudo pip3 uninstall termcolor
sudo pip install astor
sudo pip install termcolor

Ref:
Jetson nano 安装 TensorFlow

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