通过Anaconda安装TensorFlow环境

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安装 Anaconda :
参考 Anaconda安装

1、建立环境

建立一个 conda 计算环境名字叫tensorflow:
# Python 2.7$ conda create -n tensorflow python=2.7# Python 3.4$ conda create -n tensorflow python=3.4
2、激活
激活tensorflow环境,然后使用其中的 pip 安装 TensorFlow. 当使用easy_install使用–ignore-installed标记防止错误的产生。
URL of the TensorFlow Python package$ source activate tensorflow(tensorflow)$  # Your prompt should change# Ubuntu/Linux 64-bit, CPU only, Python 2.7:(tensorflow)$ pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0rc0-cp27-none-linux_x86_64.whl# Ubuntu/Linux 64-bit, GPU enabled, Python 2.7. Requires CUDA toolkit 7.5 and CuDNN v4.# For other versions, see "Install from sources" below.(tensorflow)$ pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.8.0rc0-cp27-none-linux_x86_64.whl# Mac OS X, CPU only:(tensorflow)$ pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.11.0rc0-py2-none-any.whl
对于 Python 3.x :
$ source activate tensorflow(tensorflow)$  # Your prompt should change# Ubuntu/Linux 64-bit, CPU only, Python 3.4:(tensorflow)$ pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0rc0-cp34-cp34m-linux_x86_64.whl# Ubuntu/Linux 64-bit, GPU enabled, Python 3.4. Requires CUDA toolkit 7.5 and CuDNN v4.# For other versions, see "Install from sources" below.(tensorflow)$ pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.8.0rc0-cp34-cp34m-linux_x86_64.whl# Mac OS X, CPU only:(tensorflow)$ pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/mac/tensorflow-0.8.0rc0-py3-none-any.whl
conda 环境激活后,你可以测试:
$ python>>> import tensorflow as tf>>> print(tf.__version__)# 0.11.0rc0
3、开启或关闭环境
当你不用 TensorFlow 的时候,关闭环境:
(tensorflow)$ source deactivate$ # Your prompt should change back
再次使用的时候再激活 :
$ source activate tensorflow(tensorflow)$  # Your prompt should change.# Run Python programs that use TensorFlow....# When you are done using TensorFlow, deactivate the environment.(tensorflow)$ source deactivate

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