ubuntu16.04 + CUDA8.0+cudnn5.0+tensorflow-GPU+python2.7

linux-CUDA8.0+tensorflow-GPU+python2.7

本Markdown编辑器使用[StackEdit][6]修改而来，用它写博客，将会带来全新的体验哦：

• ubuntu16.04
• cuda-8.0
• cudnn-v5.0
• tensorflow-GPU
• python2.7

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安装步骤

介绍一种使用预编译的tensorflow按转GPU版的简单教程。
1.下载预编译版本的tensorflow-GPU的.whl文件

# Python 2$ sudo pip install --upgrade $TF_BINARY_URL# Python 3$ sudo pip3 install --upgrade $TF_BINARY_URL其中环境变量 TF_BINARY_URL 根据你的环境进行设置，典型选项如下：# Ubuntu/Linux 64-bit, CPU only, Python 2.7$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp27-none-linux_x86_64.whl# Ubuntu/Linux 64-bit, GPU enabled, Python 2.7# 需要 CUDA toolkit 8.0 和 CuDNN v5. 其他版本只能用源码方式安装$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-0.12.1-cp27-none-linux_x86_64.whl# Mac OS X, CPU only, Python 2.7:$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.1-py2-none-any.whl# Mac OS X, GPU enabled, Python 2.7:$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow_gpu-0.12.1-py2-none-any.whl# Ubuntu/Linux 64-bit, CPU only, Python 3.4$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp34-cp34m-linux_x86_64.whl# Ubuntu/Linux 64-bit, GPU enabled, Python 3.4# 需要 CUDA toolkit 8.0 和 CuDNN v5. 其他版本只能用源码方式安装$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-0.12.1-cp34-cp34m-linux_x86_64.whl# Ubuntu/Linux 64-bit, CPU only, Python 3.5$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp35-cp35m-linux_x86_64.whl# Ubuntu/Linux 64-bit, GPU enabled, Python 3.5# Requires CUDA toolkit 8.0 and CuDNN v5. For other versions, see "Installing from sources" below.$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-0.12.1-cp35-cp35m-linux_x86_64.whl# Mac OS X, CPU only, Python 3.4 or 3.5:$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.1-py3-none-any.whl# Mac OS X, GPU enabled, Python 3.4 or 3.5:$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/mac/gpu/tensorflow_gpu-0.12.1-py3-none-any.whl

2.对文件进行pip安装

   sudo pip --upgrade ~/path/*.whl

提示：如果,cuda和cudnn版本不对，则不能使用预编译版本;
而使用编译版本一定要cuda8.0+cudnn6.0