機器學習-TensorFlow安裝

環境準備
centos 7
python 2.7

[root@master ~]# uname -a
Linux master 3.10.0-229.el7.x86_64 #1 SMP Fri Mar 6 11:36:42 UTC 2015 x86_64 x86_64 x86_64 GNU/Linux

[root@master ~]# python -V
Python 2.7.5

安裝pip

[root@master ~]# yum update -y && yum install -y python python-devel epel-release.noarch python-pip

如果出現了安裝pip失敗了就用
yum install python-pip安裝
pip安裝成功會顯示

[root@master ~]# pip

Usage:   
  pip <command> [options]

Commands:
  install                     Install packages.
  download                    Download packages.
  uninstall                   Uninstall packages.
  freeze                      Output installed packages in requirements format.
  list                        List installed packages.
  show                        Show information about installed packages.
  search                      Search PyPI for packages.
  wheel                       Build wheels from your requirements.
  hash                        Compute hashes of package archives.
  completion                  A helper command used for command completion
  help                        Show help for commands.

使用pip安裝tensorflow
# 僅使用 CPU 的版本

$ pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl

# 開啟 GPU 支援的版本 (安裝該版本的前提是已經安裝了 CUDA sdk)

$ pip install https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl

安裝完成以後測試TensorFlow是否成功

[root@master ~]# python
Python 2.7.5 (default, Nov  6 2016, 00:28:07) 
[GCC 4.8.5 20150623 (Red Hat 4.8.5-11)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()
I tensorflow/core/common_runtime/local_device.cc:25] Local device intra op parallelism threads: 8
I tensorflow/core/common_runtime/local_session.cc:45] Local session inter op parallelism threads: 8
>>> print sess.run(hello)
Hello, TensorFlow!
>>> a = tf.constant(10)
>>> b = tf.constant(32)
>>> print sess.run(a+b)
42