• 学习tensorflow之mac上安装tensorflow


    tensorflow

    背景

    听说谷歌的第二代机器学习的框架tensorflow开源了,我也心血来潮去探探大牛的产品.怎奈安装就折腾了一天,现在整理出来备忘.

    tensorflow官方网站给出的安装步骤很简单:

    # Only CPU-version is available at the moment.
    $ pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-any.whl
    

    安装pip

    用到了一个pip的工具,查了一下pip类似RedHat里面的yum,安装Python包非常方便.

    好吧,那就装一个pip.pip的安装方法也很简单,就是前提需要先安装python.然后去下载pip的安装包,pip安装命令如下:

    qyfmac$ tar zxvf pip-7.1.2.tar.gz
    qyfmac$ cd pip-7.1.2
    qyfmac$ python setup.py install
    

    安装时报错了:

    qyfmac$ python setup.py install
    
    running install
    Checking .pth file support in /Library/Python/2.7/site-packages/
    error: can't create or remove files in install directory
    
    The following error occurred while trying to add or remove files in the
    installation directory:
    
        [Errno 13] Permission denied: '/Library/Python/2.7/site-packages/test-easy-install-38643.pth'
    
    The installation directory you specified (via --install-dir, --prefix, or
    the distutils default setting) was:
    
        /Library/Python/2.7/site-packages/
    
    Perhaps your account does not have write access to this directory?  If the
    installation directory is a system-owned directory, you may need to sign in
    as the administrator or "root" account.  If you do not have administrative
    access to this machine, you may wish to choose a different installation
    directory, preferably one that is listed in your PYTHONPATH environment
    variable.
    
    For information on other options, you may wish to consult the
    documentation at:
    
      https://pythonhosted.org/setuptools/easy_install.html
    
    Please make the appropriate changes for your system and try again.
    

    里面有个Permission denied意思是权限不足,我们加个sudo继续执行.

    qyfmac$ sudo python setup.py install
    

    安装完后执行命令pip freeze列出安装的packages验证一下pip安装好没.

    qyfmac$ pip freeze
    altgraph==0.10.2
    bdist-mpkg==0.5.0
    bonjour-py==0.3
    macholib==1.5.1
    matplotlib==1.3.1
    modulegraph==0.10.4
    numpy==1.10.1
    py2app==0.7.3
    ...
    
    

    列出了好多包,我唯一没搞懂的就是我什么时候装了这么多包.

    安装tensorflow

    到了我们的主角出场了.执行安装命令安装tensorflow.

    qyfmac$ pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-any.whl
    

    悲剧依旧发生了,googleapis.com这个鬼要弄把梯子才能访问,下载各种超时.

    黄天不负苦心人,有一有心人已经下好并上传的了百度云 http://pan.baidu.com/s/1ntjaMnf 密码:sznb.

    下载下来安装之.

    qyfmac$ pip install --upgrade tensorflow-0.5.0-py2-none-any.whl
    

    安装virtualenv

    virtualenv是python的沙箱工具.我们毕竟是在自己机器上做实验,为了不来回修改各种环境变量,我们一般还是弄个沙箱完比较好.测试完直接删除就行,不用再去改各种配置文件.

    用pip命令来安装:

    qyfmac$ sudo pip install --upgrade virtualenv
    

    安装好后创建一个工作目录,我直接在home里创建了个文件夹.

    qyfmac$ virtualenv --system-site-packages ~/tensorflow
    

    然后进入目录激活沙箱.

    qyfmac$ cd ~/tensorflow
    qyfmac$ source bin/activate 
    (tensorflow) qyfmac$ 
    

    在virtualenv里安装tensorflow

    把下载下来的tensorflow-0.5.0-py2-none-any.whl文件放到~/tensorflow目录里.
    进入沙箱后,执行命令来安装tensorflow在沙箱中.

    (tensorflow) qyfmac$ pip install --upgrade tensorflow-0.5.0-py2-none-any.whl
    

    运行tensorflow

    我是在virtualenv里运行的.直接在系统里执行方式是一样的.

    照着官方文档敲了个简单例子.

    (tensorflow) qyfmac$ python
    Python 2.7.10 (default, Aug 22 2015, 20:33:39)
    [GCC 4.2.1 Compatible Apple LLVM 7.0.0 (clang-700.0.59.1)] on darwin
    Type "help", "copyright", "credits" or "license" for more information.
    >>> import tensorflow as tf
    >>> hello = tf.constant('Hello,TensorFlow!')
    >>> sess = tf.Session()
    >>> print sess.run(hello)
    Hello, TensorFlow!
    >>> 
    
    

    在敲see = tf.Session()这行时会报一个错

    can't determine number of CPU cores: assuming 4 
    I tensorflow/core/common_runtime/local_device.cc:25] Local device intra op parallelism threads: 4
    can't determine number of CPU cores: assuming 4
    I tensorflow/core/common_runtime/local_session.cc:45] Local session inter op parallelism threads: 4
    

    可以先不用理会,不影响最终执行结果.

    参考

    pdf文件下载:http://pan.baidu.com/s/1c1corG8

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  • 原文地址:https://www.cnblogs.com/qyf404/p/4962342.html
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