如何在Jetson上正确安装tensorflow

如何在Jetson上正确安装tensorflow

1. 安装系统包

sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg8-dev liblapack-dev libblas-dev gfortran
2. 安装pip3

sudo apt-get install python3-pip
3. pip3换源

https://www.cnblogs.com/gloria-zhang/p/12844017.html

4. 升级pip3

sudo pip3 install -U pip testresources setuptools
5. 安装python软件包依赖项

sudo pip3 install -U numpy==1.16.1 future==0.17.1 mock==3.0.5 h5py==2.9.0 keras_preprocessing==1.0.5 keras_applications==1.0.8 gast==0.2.2 futures protobuf pybind11
6. 安装TensorFlow

sudo pip3 install --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v$JP_VERSION tensorflow
JP_VERSION：JetPack版本，如42是JetPack 4.2.2。



参考：https://www.cnblogs.com/gloria-zhang/p/12837453.html

米饭力 发表于 2020-5-29 11:17
1. 安装系统包

sudo apt-get install libhdf5-serial-dev hdf5-tools libhdf5-dev zlib1g-dev zip libjpeg ...

对于在不同版本的Jetpack上安装不同版本的tensorflow，请参考如下链接。
https://docs.nvidia.com/deeplear ... platform/index.html

在当前版本上，具体步骤和上述页面描述一致。

但是请注意，上述命令只会安装到tensorflow的最新版本，如果需要制定tensorflow的版本，请使用：

1. sudo pip3 install --extra-index-url https://developer.download.nvidia.com/compute/redist/jp/v$JP_VERSION tensorflow==$TF_VERSION+nv$NV_VERSION

复制代码

JP_VERSION
The major and minor version of JetPack you are using, such as 42 for JetPack 4.2.2 or 33 for JetPack 3.3.1.
TF_VERSION
The released version of TensorFlow, for example, 1.13.1.
NV_VERSION
The monthly NVIDIA container version of TensorFlow, for example, 19.01.