tensorflow源码安装

安装环境

ubuntu14.04

安装java8

$ sudo add-apt-repository ppa:webupd8team/java
$ sudo apt-get update
$ sudo apt-get install oracle-java8-installer

安装其他的一些工具

apt-get install pkg-config zip g++ zlib1g-dev unzip

安装Bazel

下载安装包

$ chmod +x bazel-version-installer-os.sh
$ ./bazel-version-installer-os.sh --zhangjl

安装其他需要的环境

sudo apt-get install python-numpy swig python-dev python-wheel

配置参数

$ ./configure
Please specify the location of python. [Default is /usr/bin/python]:
Do you wish to build TensorFlow with GPU support? [y/N] y GPU support will be enabled for TensorFlow Please specify which gcc nvcc should use as the host compiler. [Default is /usr/bin/gcc]: /usr/bin/gcc-4.9 Please specify the Cuda SDK version you want to use, e.g. 7.0. [Leave empty to use system default]: 7.5 Please specify the location where CUDA 7.5 toolkit is installed. Refer to README.md for more details. [default is: /usr/local/cuda]: /usr/local/cuda Please specify the Cudnn version you want to use. [Leave empty to use system default]: 4.0.4 Please specify the location where the cuDNN 4.0.4 library is installed. Refer to README.md for more details. [default is: /usr/local/cuda]: /usr/local/cudnn-r4-rc/ Please specify a list of comma-separated Cuda compute capabilities you want to build with. You can find the compute capability of your device at: https://developer.nvidia.com/cuda-gpus. Please note that each additional compute capability significantly increases your build time and binary size. [Default is: \"3.5,5.2\"]: 3.5 Setting up Cuda include Setting up Cuda lib64 Setting up Cuda bin Setting up Cuda nvvm Setting up CUPTI include Setting up CUPTI lib64 Configuration finished

编译之后词gpu的版本

$ bazel build -c opt --config=cuda //tensorflow/cc:tutorials_example_trainer

$ bazel-bin/tensorflow/cc/tutorials_example_trainer --use_gpu
# Lots of output. This tutorial iteratively calculates the major eigenvalue of
# a 2x2 matrix, on GPU. The last few lines look like this.
000009/000005 lambda = 2.000000 x = [0.894427 -0.447214] y = [1.788854 -0.894427]
000006/000001 lambda = 2.000000 x = [0.894427 -0.447214] y = [1.788854 -0.894427]
000009/000009 lambda = 2.000000 x = [0.894427 -0.447214] y = [1.788854 -0.894427]
Note that "--config=cuda" is needed to enable the GPU support

注意事项

• Although it is possible to build both Cuda and non-Cuda configs under the same source tree, we recommend to run bazel clean when switching between these two configs in the same source tree.
• You have to run configure before running bazel build. Otherwise, the build will fail with a clear error message. In the future, we might consider making this more convenient by including the configure step in our build process.