Python 使用 pip、Mac OSX 安装 tensorflow 的文件夹在哪里？
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Where is the folder for Installing tensorflow with pip, Mac OSX?
提问by eleijonmarck
just installed tensorflow using pip with the command:
刚刚使用 pip 和命令安装了 tensorflow：
$ pip install tensorflow
$ pip install tensorflow
On the "Getting Started" for Tensorflowthey have an example for convolutional neural networks
在Tensorflow的“入门”中，他们有一个卷积神经网络的例子
$ python tensorflow/models/image/mnist/convolutional.py
$ python tensorflow/models/image/mnist/convolutional.py
Where is that directory located when installing with pip?
使用 pip 安装时该目录位于何处？
采纳答案by eleijonmarck
Installing with pip, installs the packages to the directory "site-packages".
使用 pip 安装，将软件包安装到目录“site-packages”。
The following code shows the location of tensorflow as well as where pip installs the packages:
以下代码显示了 tensorflow 的位置以及 pip 安装包的位置：
$ pip show tensorflow
Which return:
哪个返回：
Metadata-Version: 2.0
Name: tensorflow
Version: 0.5.0
Summary: TensorFlow helps the tensors flow
Home-page: http://tensorflow.com/
Author: Google Inc.
Author-email: [email protected]
License: Apache 2.0
Location: /usr/local/lib/python2.7/site-packages
Requires: six, numpy
here Location:shows where the package is installed with
这里Location:显示了软件包的安装位置
$ cd /usr/local/lib/python2.7/site-packages/tensorflow
EDIT:
编辑：
As some people pointed out in the newer versions of tensorflow and depending on the $ echo $TENSORFLOWyou need to look in either
正如某些人在较新版本的 tensorflow 中指出的那样，根据$ echo $TENSORFLOW您需要查看
$ cd /usr/local/lib/python{2,3}.X/{site,dist}-packages/tensorflow
Or
或者
$ cd /usr/local/lib/python2.7/dist-packages/tensorflow/include/tensorflow/core/framework
回答by Hemant K.
It depends on where is $TENSORFLOW environment variable is set. Lets help it setup.
这取决于 $TENSORFLOW 环境变量的设置位置。让我们帮助它设置。
First check,
$ echo $TENSORFLOWif it return blank, you need to setup to access from any directory from your console.
首先检查，
$ echo $TENSORFLOW如果它返回空白，您需要设置从您的控制台从任何目录访问。
Case-1) In case you have python from anaconda library/environment (let say you have anaconda2)
案例1）如果你有来自anaconda库/环境的python（假设你有anaconda2）
Usually installed location: ~/anaconda2/lib/python2.7/site-package/tensorflow
通常安装位置：~/anaconda2/lib/python2.7/site-package/tensorflow
case-2.)
In case of Python2.x or Python3.x, x = is subversion like 2.7 or 3.5
Usually installed location:
/usr/local/lib/python2.x/site-packages/tensorflow
case-2.) 在 Python2.x 或 Python3.x 的情况下，x = 是像 2.7 或 3.5 这样的 subversion 通常安装位置：
/usr/local/lib/python2.x/site-packages/tensorflow
Now you have identified python version. Use it as onetime path in bash or profile.
现在您已经确定了 python 版本。将其用作 bash 或配置文件中的一次性路径。
$ vi ~/.bashrc
$ vi ~/.bashrc
add this line in the bottom of the basrc file.
在 basrc 文件的底部添加这一行。
$ export $TENSORFLOW="~/anaconda2/lib/python2.7/site-packages/tensorflow:$PATH"
$ export $TENSORFLOW="~/anaconda2/lib/python2.7/site-packages/tensorflow:$PATH"
check again in a new terminal
在新终端中再次检查
$ echo $TENSORFLOW
$ echo $TENSORFLOW
now you can use
现在你可以使用
$ python tensorflow/models/image/mnist/convolutional.py
$ python tensorflow/models/image/mnist/convolutional.py
directly by
直接通过
$ python -m tensorflow.models.image.mnist.convolutional.py
$ python -m tensorflow.models.image.mnist.convolutional.py
Now your program as per description in TensorFlow tutorial will search these path with period (.) instead of "/" with -m argument.
现在，您的程序按照 TensorFlow 教程中的描述将使用句点 (.) 而不是带有 -m 参数的“/”搜索这些路径。
