一：使用pip安裝Virtualenv：
~/Giant/webRTC_xCode on release/2.9! ⌚ 15:39:02
$ sudo pip install --upgrade virtualenv
Password:
The directory '/Users/along/Library/Caches/pip/http' or its parent directory is not owned by the current user and the cache has been disabled. Please check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.
You are using pip version 7.1.0, however version 9.0.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
The directory '/Users/along/Library/Caches/pip/http' or its parent directory is not owned by the current user and the cache has been disabled. Please check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.
Collecting virtualenv
Downloading virtualenv-15.1.0-py2.py3-none-any.whl (1.8MB)
100% |████████████████████████████████| 1.8MB 182kB/s
Installing collected packages: virtualenv
Successfully installed virtualenv-15.1.0
二：創建virtualenv環境到指定的目錄下：
~ ⌚ 15:43:20
$ virtualenv --system-site-package ~/ATest/TFTest
New python executable in /Users/along/ATest/TFTest/bin/python
Installing setuptools, pip, wheel...done.
~ ⌚ 15:43:34
$ ll ATest/TFTest
total 8
drwxr-xr-x 16 along staff 544B 10 13 15:43 bin
drwxr-xr-x 3 along staff 102B 10 13 15:43 include
drwxr-xr-x 3 along staff 102B 10 13 15:43 lib
-rw-r--r-- 1 along staff 60B 10 13 15:43 pip-selfcheck.json
三：激活virtualenv環境：
~ ⌚ 15:45:01
$ source ATest/TFTest/bin/activate
(TFTest)
四：在virtualenv環境中安裝tensorflow：
~ ⌚ 15:47:58
$ pip install --upgrade tensorflow
Collecting tensorflow
Retrying (Retry(total=1, connect=None, read=None, redirect=None)) after connection broken by 'NewConnectionError('<pip._vendor.requests.packages.urllib3.connection.VerifiedHTTPSConnection object at 0x10a78b410>: Failed to establish a new connection: [Errno 65] No route to host',)': /simple/tensorflow/
Downloading tensorflow-1.3.0-cp27-cp27m-macosx_10_11_x86_64.whl (39.4MB)
100% |████████████████████████████████| 39.4MB 26kB/s
Collecting protobuf>=3.3.0 (from tensorflow)
Downloading protobuf-3.4.0-py2.py3-none-any.whl (375kB)
100% |████████████████████████████████| 378kB 486kB/s
Collecting backports.weakref>=1.0rc1 (from tensorflow)
Downloading backports.weakref-1.0.post1-py2.py3-none-any.whl
Requirement already up-to-date: wheel in ./ATest/TFTest/lib/python2.7/site-packages (from tensorflow)
Collecting tensorflow-tensorboard<0.2.0,>=0.1.0 (from tensorflow)
Downloading tensorflow_tensorboard-0.1.8-py2-none-any.whl (1.6MB)
100% |████████████████████████████████| 1.6MB 407kB/s
Collecting mock>=2.0.0 (from tensorflow)
Downloading mock-2.0.0-py2.py3-none-any.whl (56kB)
100% |████████████████████████████████| 61kB 842kB/s
Collecting numpy>=1.11.0 (from tensorflow)
Downloading numpy-1.13.3-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (4.6MB)
100% |████████████████████████████████| 4.6MB 177kB/s
Collecting six>=1.10.0 (from tensorflow)
Downloading six-1.11.0-py2.py3-none-any.whl
Requirement already up-to-date: setuptools in ./ATest/TFTest/lib/python2.7/site-packages (from protobuf>=3.3.0->tensorflow)
Collecting bleach==1.5.0 (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow)
Downloading bleach-1.5.0-py2.py3-none-any.whl
Collecting markdown>=2.6.8 (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow)
Downloading Markdown-2.6.9.tar.gz (271kB)
100% |████████████████████████████████| 276kB 623kB/s
Collecting html5lib==0.9999999 (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow)
Downloading html5lib-0.9999999.tar.gz (889kB)
100% |████████████████████████████████| 890kB 507kB/s
Collecting werkzeug>=0.11.10 (from tensorflow-tensorboard<0.2.0,>=0.1.0->tensorflow)
Downloading Werkzeug-0.12.2-py2.py3-none-any.whl (312kB)
100% |████████████████████████████████| 317kB 553kB/s
Collecting funcsigs>=1; python_version < "3.3" (from mock>=2.0.0->tensorflow)
Downloading funcsigs-1.0.2-py2.py3-none-any.whl
Collecting pbr>=0.11 (from mock>=2.0.0->tensorflow)
Downloading pbr-3.1.1-py2.py3-none-any.whl (99kB)
100% |████████████████████████████████| 102kB 844kB/s
Building wheels for collected packages: markdown, html5lib
Running setup.py bdist_wheel for markdown ... done
Stored in directory: /Users/along/Library/Caches/pip/wheels/bf/46/10/c93e17ae86ae3b3a919c7b39dad3b5ccf09aeb066419e5c1e5
Running setup.py bdist_wheel for html5lib ... done
Stored in directory: /Users/along/Library/Caches/pip/wheels/6f/85/6c/56b8e1292c6214c4eb73b9dda50f53e8e977bf65989373c962
Successfully built markdown html5lib
Installing collected packages: six, protobuf, backports.weakref, html5lib, bleach, numpy, markdown, werkzeug, tensorflow-tensorboard, funcsigs, pbr, mock, tensorflow
Found existing installation: six 1.4.1
Not uninstalling six at /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python, outside environment /Users/along/ATest/TFTest
Found existing installation: numpy 1.8.0rc1
Not uninstalling numpy at /System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python, outside environment /Users/along/ATest/TFTest
Successfully installed backports.weakref-1.0.post1 bleach-1.5.0 funcsigs-1.0.2 html5lib-0.9999999 markdown-2.6.9 mock-2.0.0 numpy-1.13.3 pbr-3.1.1 protobuf-3.4.0 six-1.11.0 tensorflow-1.3.0 tensorflow-tensorboard-0.1.8 werkzeug-0.12.2
(TFTest)
五：python shell中運行TensorFlow:
~ ⌚ 15:52:29
$ python
Python 2.7.10 (default, Oct 23 2015, 19:19:21)
[GCC 4.2.1 Compatible Apple LLVM 7.0.0 (clang-700.0.59.5)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> hello = tf.constant('hello, TensorFlow!')
>>> sess = tf.Session()
2017-10-13 15:54:21.721091: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-10-13 15:54:21.721135: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-10-13 15:54:21.721140: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2017-10-13 15:54:21.721144: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
>>> print sess.run(hello)
hello, TensorFlow!
>>> a = tf.constant(10)
>>> b = tf.constant(32)
>>> print sess.run(a+b)
42
六：使用腳本運行tensorflow：
~/ATest ⌚ 15:58:02
$ vim tfTest.py
import tensorflow as tf
hello = tf.constant('hello,Tensorflow')
sess = tf.Session()
print sess.run(hello)
a = tf.constant(10)
b = tf.constant(32)
print sess.run(a+b)
~/ATest ⌚ 15:59:53
$ python tfTest.py
Traceback (most recent call last):
File "tfTest.py", line 1, in <module>
import tensorflow as tf
ImportError: No module named tensorflow
~/ATest ⌚ 16:00:01
$ source TFTest/bin/activate
(TFTest)
~/ATest ⌚ 16:01:12
$ python tfTest.py
2017-10-13 16:01:19.421796: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-10-13 16:01:19.421819: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-10-13 16:01:19.421824: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2017-10-13 16:01:19.421829: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
hello,Tensorflow
42
(TFTest)
官網需要翻牆：https://www.tensorflow.org/install/install_mac