標籤：can mat down str load failure sdn 查看 director
1. 使用命令：sudo pip3 install --upgrade \ https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.1.0rc2-cp35-cp35m-linux_x86_64.whl 安裝。
遇到如下問題：
tensorflow-1.1.0rc2-cp35-cp35m-linux_x86_64.whl is not a supported wheel on this platform.
試過好幾個版本都報相同的錯誤，不支援平台。
2. 換命令 pip3 install tensorflow 安裝。
遇到如下問題：
Downloading/unpacking tensorflow
Could not find any downloads that satisfy the requirement tensorflow
Cleaning up...
No distributions at all found for tensorflow
Storing debug log for failure in /home/itcast/.pip/pip.log
(1) 有說tensorflow不支援32位系統只支援64位系統的，特意用命令sudo uname --m查看系統是x86_64，說明是64位。
另 查到這個問題原因是： pip3的版本太低。
使用命令 pip3 -V 可查看版本：pip 1.5.4 from /usr/lib/python3/dist-packages (python 3.4)
參考：77540236， 79387725。
(2) 然後使用網上公認的升級命令： pip3 install --upgrade pip。
此次升級可行，如果不行可參考 79387725 ：
$ sudo easy_install --upgrade pip #運行後解決問題。
$ sudo easy_install --upgrade six #這個不用也行
(3) 然後再執行 pip3 install tensorflow 可以順利往下走了，然後遇到如下問題：
Cannot uninstall ‘six‘. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.
3. 使用 sudo pip3 install --ignore-installed six 命令安裝好six
此命令借鑒於：80579113 。
然後繼續 pip3 install tensorflow 終於安裝完成了。
The directory ‘/home/itcast/.cache/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.
The directory ‘/home/itcast/.cache/pip‘ or its parent directory is not owned by the current user and caching wheels has been disabled. check the permissions and owner of that directory. If executing pip with sudo, you may want sudo‘s -H flag.
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting tensorflow
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/69/90/357f5f0e7da99bc314f84f01922d95f3d52b008ec3f70558886b14639820/tensorflow-1.10.1-cp34-cp34m-manylinux1_x86_64.whl (59.0MB)
100% |████████████████████████████████| 59.0MB 217kB/s
Collecting tensorboard<1.11.0,>=1.10.0 (from tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/c6/17/ecd918a004f297955c30b4fffbea100b1606c225dbf0443264012773c3ff/tensorboard-1.10.0-py3-none-any.whl (3.3MB)
100% |████████████████████████████████| 3.3MB 829kB/s
Collecting grpcio>=1.8.6 (from tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/48/ad/44d573b2ae87a12806827329e9d22331c1e27d227c20a878499accd06ee0/grpcio-1.14.1-cp34-cp34m-manylinux1_x86_64.whl (9.3MB)
100% |████████████████████████████████| 9.3MB 1.2MB/s
Collecting absl-py>=0.1.6 (from tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/cc/e6/6cc5c834023685dd83a28bdb5c1826d9340111493a447e9a9230269defa8/absl-py-0.4.0.tar.gz (88kB)
100% |████████████████████████████████| 92kB 1.5MB/s
Collecting wheel>=0.26 (from tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/81/30/e935244ca6165187ae8be876b6316ae201b71485538ffac1d718843025a9/wheel-0.31.1-py2.py3-none-any.whl (41kB)
100% |████████████████████████████████| 51kB 3.4MB/s
Requirement already satisfied: setuptools<=39.1.0 in /usr/lib/python3/dist-packages (from tensorflow) (3.3)
Collecting astor>=0.6.0 (from tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/35/6b/11530768cac581a12952a2aad00e1526b89d242d0b9f59534ef6e6a1752f/astor-0.7.1-py2.py3-none-any.whl
Requirement already satisfied: termcolor>=1.1.0 in /usr/local/lib/python3.4/dist-packages (from tensorflow) (1.1.0)
Requirement already satisfied: numpy<=1.14.5,>=1.13.3 in /usr/local/lib/python3.4/dist-packages (from tensorflow) (1.14.5)
Requirement already satisfied: six>=1.10.0 in /usr/local/lib/python3.4/dist-packages (from tensorflow) (1.11.0)
Collecting protobuf>=3.6.0 (from tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/61/52/463bac997cee19c74e1aa9153e4aef1af26737f90c91837c13efa0225c25/protobuf-3.6.1-cp34-cp34m-manylinux1_x86_64.whl (1.1MB)
100% |████████████████████████████████| 1.1MB 1.2MB/s
Requirement already satisfied: gast>=0.2.0 in /usr/local/lib/python3.4/dist-packages (from tensorflow) (0.2.0)
Collecting markdown>=2.6.8 (from tensorboard<1.11.0,>=1.10.0->tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/6d/7d/488b90f470b96531a3f5788cf12a93332f543dbab13c423a5e7ce96a0493/Markdown-2.6.11-py2.py3-none-any.whl (78kB)
100% |████████████████████████████████| 81kB 1.4MB/s
Collecting werkzeug>=0.11.10 (from tensorboard<1.11.0,>=1.10.0->tensorflow)
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/20/c4/12e3e56473e52375aa29c4764e70d1b8f3efa6682bef8d0aae04fe335243/Werkzeug-0.14.1-py2.py3-none-any.whl (322kB)
100% |████████████████████████████████| 327kB 1.0MB/s
Installing collected packages: markdown, wheel, protobuf, werkzeug, tensorboard, grpcio, absl-py, astor, tensorflow
Found existing installation: wheel 0.24.0
Uninstalling wheel-0.24.0:
Successfully uninstalled wheel-0.24.0
Running setup.py install for absl-py ... done
Successfully installed absl-py-0.4.0 astor-0.7.1 grpcio-1.14.1 markdown-2.6.11 protobuf-3.6.1 tensorboard-1.10.0 tensorflow-1.10.1 werkzeug-0.14.1 wheel-0.31.1 |
4. 測試
$ python3
Python 3.4.3 (default, Nov 28 2017, 16:41:13)
[GCC 4.8.4] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow
>>> tensorflow.constant(3)
<tf.Tensor ‘Const:0‘ shape=() dtype=int32>
>>>
應該可以正常使用了。
python3安裝tensorflow遇到的問題
