那棵树看起来生气了
源码编译TensorFlow with MKLDNN
05/14
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- 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
- 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.
- Download
$ wget -c https://github.com/bazelbuild/bazel/releases/download/0.13.1/bazel-0.13.1-installer-linux-x86_64.sh
- 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.
- Add environment
Add bazel enviroment to .bashrc file.
$ vim ~/.bashrcadd bazel Enviroment
export PATH="$INSTALL_HOME/bazel/bin:$PATH"
$ source ~/.bashrcInstall TensorFlow
- Download TensorFlow source code.
$ git clone https://github.com/tensorflow/tensorflow.git
$ cd tensorflow- 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- Generate install package
$ mkdir build_pip_package
$ bazel-bin/tensorflow/tools/pip_package/build_pip_package ./build_pip_package- 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
- 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
三合一收款
下面三种方式都支持哦
