Install TensorFlow

Operating Systems:

• Ubuntu* 16.04.3 long-term support (LTS), 64-bit
• CentOS* 7.4, 64-bit
• Yocto Project Poky Jethro v2.0.3, 64-bit (for target only)

Install Python Environment

Anaconda includes 250+ popular data science packages and the conda package and virtual environment manager for Windows, Linux, and MacOS. Conda makes it quick and easy to install, run, and upgrade complex data science and machine learning environments like Scikit-learn, TensorFlow, and SciPy. Anaconda Distribution is the foundation of millions of data science projects as well as Amazon Web.

please use root rights

$ su

1. Download

$ wget -c https://repo.anaconda.com/archive/Anaconda3-5.1.0-Linux-x86_64.sh
$ wget -c https://repo.anaconda.com/archive/Anaconda2-5.3.0-Linux-x86_64.sh

1. Install Anaconda

$ chmod +x Anaconda3-5.1.0-Linux-x86_64.sh
$ ./Anaconda3-5.1.0-Linux-x86_64.sh
$ source ~/.bashrc

Install Bazel

Bazel is the common build tool. It's necessary to build TensorFlow source code.

1. Download

$ wget -c https://github.com/bazelbuild/bazel/releases/download/0.13.1/bazel-0.13.1-installer-linux-x86_64.sh

1. Install

$ chmod +x bazel-0.13.1-installer-linux-x86_64.sh
$ ./bazel-0.13.1-installer-linux-x86_64.sh --prefix=$INSTALL_HOME/bazel

NOTE: "INSTALL_HOME" is your install directory.

1. Add environment

Add bazel enviroment to .bashrc file.

$ vim ~/.bashrc

add bazel Enviroment

export PATH="$INSTALL_HOME/bazel/bin:$PATH"

$ source ~/.bashrc

Install TensorFlow

1. Download TensorFlow source code.

$ git clone https://github.com/tensorflow/tensorflow.git
$ cd tensorflow

1. Build

Choose what you need tools.

$ ./configure

# it may for a long time.
$ bazel build --config=mkl --copt="-DEIGEN_USE_VML" -c opt //tensorflow/tools/pip_package:build_pip_package

$ bazel build --copt=-mavx2 --copt=-mfma --copt=-mavx --copt=-msse4.2 --copt=-msse4.1 --copt=-msse3 --copt="-DEIGEN_USE_VML" -c opt //tensorflow/tools/pip_package:build_pip_package

1. Generate install package

$ mkdir build_pip_package
$ bazel-bin/tensorflow/tools/pip_package/build_pip_package ./build_pip_package

1. Install TensorFlow pip package

$ sudo pip install ./build_pip_package/tensorflow-1.8.0-cp36-cp36m-linux_x86_64.whl

NOTE: It may need root rights

1. Validate

$ python
# input "import tensorflow as tf",it should be have no error.
>>> import tensorflow as tf

End

编译TensorFlow 1.10需要安装如下

pip install keras_applications==1.0.4 --no-deps
pip install keras_preprocessing==1.0.2 --no-deps
pip install h5py==2.8.0

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