标签：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 安装。
遇到如下问题：
tensorflow-1.1.0rc2-cp35-cp35m-linux_x86_64.whl is not a supported wheel on this platform.
试过好几个版本都报相同的错误，不支持平台。
2. 换命令 pip3 install tensorflow 安装。
遇到如下问题：
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) 有说tensorflow不支持32位系统只支持64位系统的，特意用命令sudo uname --m查看系统是x86_64，说明是64位。
另 查到这个问题原因是： 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)
参考：https://blog.csdn.net/sisiel/article/details/77540236， https://blog.csdn.net/zhangchuang601/article/details/79387725。
(2) 然后使用网上公认的升级命令： pip3 install --upgrade pip。
此次升级可行，如果不行可参考 https://blog.csdn.net/zhangchuang601/article/details/79387725 ：
$ sudo easy_install --upgrade pip #运行后解决问题。
$ sudo easy_install --upgrade six #这个不用也行
(3) 然后再执行 pip3 install tensorflow 可以顺利往下走了，然后遇到如下问题：
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 命令安装好six
此命令借鉴于：https://blog.csdn.net/xiaoxianerqq/article/details/80579113 。
然后继续 pip3 install tensorflow 终于安装完成了。
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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
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4. 测试
$ 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>
>>>
应该可以正常使用了。
python3安装tensorflow遇到的问题
标签：can mat down str load failure sdn 查看 director
原文地址：https://www.cnblogs.com/UFO-blogs/p/9542757.html
