一. 安装Python3
1. 从https://www.python.org/downloads/,下载Python3.6.7
2. 编译python3.6.7
$ ./configure --prefix=/usr/local/python3 --enable-optimizations
$ make
3. 安装python3.6.7
# rm /usr/bin/python
# rm /usr/bin/python-config
# make install
# ln -s /usr/local/python3/bin/python3.6 /usr/bin/python3
# ln -s /usr/bin/python3 /usr/bin/python
# ln /usr/local/python3/bin/python3.6m-config /usr/bin/python3-config
# ln -s /usr/bin/python3-config /usr/bin/python-config
# ln -s usr/local/python3/bin/pip3.6 /usr/bin/pip3
# ln -s /usr/bin/pip3 /usr/bin/pip
二. 安装bazel
1. 检查Java版本
$ rpm -qa | grep java
java-1.8.0-openjdk-headless-1.8.0.161-2.b14.el7.x86_64
java-1.8.0-openjdk-devel-1.8.0.161-2.b14.el7.x86_64
java-1.8.0-openjdk-1.8.0.161-2.b14.el7.x86_64
2. 下载Bazel(如果是tensorflow2.0版本,需要下载bazel2.0.0版本)
在https://github.com/bazelbuild/bazel/releases,下载bazel-0.15.0-dist.zip
3. 编译与安装Bazel
1)解压缩bazel-0.15.0-dist.zip
$ unzip bazel-0.15.0-dist.zip
2)编译bazel
$ ./compile.sh
3)复制bazel到系统目录
$ cd output
$ su
# cp bazel /usr/local/bin
三. 安装TensorFlow
1. 从https://github.com/tensorflow/tensorflow/releases下载tensorflow-1.12.0.tar.gz
2. 安装相关依赖软件
$ python3 -m pip install --user numpy scipy keras wheel
$ cd $HOME/.local
$ su
# cp –r * /usr/local/python3
或者:
# python3 –m pip install numpy scipy keras wheel
3. 编译与安装tensorflow-1.12.0.tar.gz
1)解压缩tensorflow-1.12.0.tar.gz
$ tar zxvf tensorflow-1.12.0.tar.gz
2)配置TensorLlow
$ cd tensorflow
$ ./configure
均选择默认选项即可。
3)编译tensorflow
a)编译支持CPU的软件包
$ bazel build --config=opt --copt=-msse4.1 --copt=-msse4.2 --copt=-mavx --copt=-mavx2 --copt=-mfma //tensorflow/tools/pip_package:build_pip_package
b)编译支持GPU的软件包
# bazel build --config=opt --config=cuda //tensorflow/tools/pip_package:build_pip_package
4)生成whl软件包
$ bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
5)安装TensorFlow软件包
# python3 -m pip install /tmp/tensorflow_pkg/tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl
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原文链接:https://blog.csdn.net/weixin_43138209/article/details/88202742