安裝環境
ubuntu14.04
安裝java8
[code]$ sudo add-apt-repository ppa:webupd8team/java
$ sudo apt-get update
$ sudo apt-get install oracle-java8-installer
安裝其他的一些工具
[code]apt-get install pkg-config zip g++ zlib1g-dev unzip
安裝Bazel
下載安裝包
[code]$ chmod +x bazel-version-installer-os.sh
$ ./bazel-version-installer-os.sh --zhangjl
安裝其他需要的環境
[code]sudo apt-get install python-numpy swig python-dev python-wheel
配置參數
[code]$ ./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
編譯之後詞gpu的版本
[code]$ 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
注意事項
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.
