1.已经在Ubuntu下安装好了Anaconda。
2.创建TensorFlow环境,Python2.7
Conda create -n tensorflow python=2.7
此时会conda下载安装python2.7的环境
The following NEW packages will be INSTALLED: certifi: 2016.2.28-py27_0 openssl: 1.0.2l-0 pip: 9.0.1-py27_1 python: 2.7.13-0 readline: 6.2-2 setuptools: 36.4.0-py27_0 sqlite: 3.13.0-0 tk: 8.5.18-0 wheel: 0.29.0-py27_0 zlib: 1.2.11-0 Proceed ([y]/n)? y Fetching packages ... openssl-1.0.2l 100% |################################| Time: 0:00:01 1.77 MB/s zlib-1.2.11-0. 100% |################################| Time: 0:00:00 191.63 kB/s python-2.7.13- 100% |################################| Time: 0:00:05 2.31 MB/s certifi-2016.2 100% |################################| Time: 0:00:00 315.92 kB/s wheel-0.29.0-p 100% |################################| Time: 0:00:00 174.28 kB/s setuptools-36. 100% |################################| Time: 0:00:01 529.64 kB/s pip-9.0.1-py27 100% |################################| Time: 0:00:02 655.58 kB/s Extracting packages ... [ COMPLETE ]|###################################################| 100% Linking packages ... [ COMPLETE ]|###################################################| 100% # # To activate this environment, use: # > source activate tensorflow
# To deactivate this environment, use:
# > source deactivate tensorflow
#
此时在Anaconda的env文件夹下会安装好TensorFlow文件夹及环境软件。
3.按需要激活tensorflow环境,并在此环境下安装tensorflow:
wangjc@wangjc-Inspiron-3668:~$ source activate tensorflow (tensorflow) wangjc@wangjc-Inspiron-3668:~$ pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0rc0-cp27-none-linux_x86_64.whl
如果是Python3.5,则如下代码安装:
pip install --ignore-installed --upgrade https://mirrors.tuna.tsinghua.edu.cn/tensorflow/linux/cpu/tensorflow-0.12.0-cp35-cp35m-linux_x86_64.whl
安装成功:
Installing collected packages: numpy, six, wheel, setuptools, protobuf, tensorflow Successfully installed numpy-1.13.1 protobuf-3.0.0b2 setuptools-36.4.0 six-1.10.0 tensorflow-0.8.0rc0 wheel-0.29.0 (tensorflow) wangjc@wangjc-Inspiron-3668:~$
4.尝试加载tensorflow:需要先激活tensorflow环境
wangjc@wangjc-Inspiron-3668:~$ source activate tensorflow (tensorflow) wangjc@wangjc-Inspiron-3668:~$ python Python 2.7.13 |Continuum Analytics, Inc.| (default, Dec 20 2016, 23:09:15) [GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2 Type "help", "copyright", "credits" or "license" for more information. Anaconda is brought to you by Continuum Analytics. Please check out: http://continuum.io/thanks and https://anaconda.org >>> import tensorflow >>>
加载成功!
5.为了使用spyder,需要在tensorflow环境下安装spyder:
(tensorflow) wangjc@wangjc-Inspiron-3668:~$ conda install -n tensorflow spyder Fetching package metadata ....... Solving package specifications: .......... Package plan for installation in environment /home/wangjc/anaconda3/envs/tensorflow: The following packages will be downloaded:
安装成功之后在tensorflow环境下运行spyder即可:
如果不在tensorflow环境下安装spyder,直接运行spyder时打开的可能不是tensorflow对应的python内核。
wangjc@wangjc-Inspiron-3668:~$ source activate tensorflow (tensorflow) wangjc@wangjc-Inspiron-3668:~$ spyder
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