ubuntu 16.04

anaconda install tensorflow-gpu教程

Installing with Anaconda

Take the following steps to install TensorFlow in an Anaconda environment:

1. Follow the instructions on the Anaconda download site to download and install Anaconda.

2. Create a conda environment named tensorflow to run a version of Python by invoking the following command:

   $ conda create -n tensorflow

3. Activate the conda environment by issuing the following command:

   $ source activate tensorflow (tensorflow)$ # Your prompt should change

4. Issue a command of the following format to install TensorFlow inside your conda environment:

   (tensorflow)$ pip install --ignore-installed --upgrade
   tfBinaryURL

   where tfBinaryURL is the URL of the TensorFlow Python package. For example, the following command installs the CPU-only version of TensorFlow for Python 3.4:

   (tensorflow)$ pip install --ignore-installed --upgrade \ https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.3.0-cp34-cp34m-linux_x86_64.whl

Python 2.7

CPU only:

https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.3.0-cp27-none-linux_x86_64.whl

GPU support:

https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.3.0-cp27-none-linux_x86_64.whl

Python 3.4

CPU only:

https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.3.0-cp34-cp34m-linux_x86_64.whl

GPU support:

https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.3.0-cp34-cp34m-linux_x86_64.whl

Python 3.5

CPU only:

https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.3.0-cp35-cp35m-linux_x86_64.whl

GPU support:

https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.3.0-cp35-cp35m-linux_x86_64.whl

Python 3.6

CPU only:

https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.3.0-cp36-cp36m-linux_x86_64.whl

GPU support:

https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.3.0-cp36-cp36m-linux_x86_64.whl

需要安裝哪個版本的，用下面的地址替換掉第四步的地址就行了