学习tensorflow之mac上安装tensorflow

2022-02-06

我听说谷歌的第二代机器学习框架是开源的。我还突发奇想去探索的产品，然而，安装一整天都很麻烦。现在我已经把备忘录整理好了

官方网站上给出的安装步骤非常简单：

# 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

使用PIP工具。检查PIP中的yum。安装包非常方便

好的，然后安装一个pip。pip的安装方法也很简单，即需要先安装，然后再下载。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

安装时间错误：

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.

这意味着许可是不够的。我们添加sudo以继续

qyfmac$ sudo python setup.py install

安装后，执行命令pip列出已安装的，并验证是否安装了pip

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

...

列出了许多包。我唯一不明白的是当我加载了这么多包时

安装

现在是主角出现的时候了执行安装命令来安装

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

悲剧仍在发生。鬼魂必须用梯子才能接近它。下载各种超时

黄天尽了最大努力。一个有爱心的男人已经发布并上传了百度云密码：sznb

下载并安装

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

安装沙盒工具毕竟，我们正在自己的机器上做实验。为了不来回修改各种环境变量，我们通常最好在测试后制作一个沙盒，您可以直接删除它，而无需更改各种配置文件

使用PIP命令安装：

qyfmac$ sudo pip install --upgrade virtualenv

安装后创建一个工作目录，我直接在home中创建一个文件夹

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

然后输入激活沙盒的目录

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

安装

下载的-0.5.0-py2-none-any将WHL文件放在~/目录中

进入沙盒后，执行命令在沙盒中安装

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

运行

我在运行时，它以相同的方式直接在系统中实现

根据官方文件

(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!
>>> 

敲打see=tf（）此行将报告一个错误

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

您可以先忽略它，并且不会影响最终的执行结果

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