标签：opencl source swig ubuntu htm tor 源码 release strong
编译TensorFlow源码
参考：
https://www.tensorflow.org/install/install_sources
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/go/README.md
ubuntu 16.04.2 （virtualbox 虚拟机）
参考：https://docs.bazel.build/versions/master/install-ubuntu.html
Using Bazel custom APT repository (recommended)
Install JDK 8 by using:
sudo apt-get install openjdk-8-jdk
On Ubuntu 14.04 LTS you‘ll have to use a PPA:
sudo add-apt-repository ppa:webupd8team/java sudo apt-get update && sudo apt-get install oracle-java8-installer
echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | sudo tee /etc/apt/sources.list.d/bazel.list curl https://bazel.build/bazel-release.pub.gpg | sudo apt-key add -
If you want to install the testing version of Bazel, replace stable with testing.
sudo apt-get update && sudo apt-get install bazel
Once installed, you can upgrade to a newer version of Bazel with:
sudo apt-get upgrade bazel
sudo apt-get install python3-numpy python3-dev python3-pip python3-wheel swig
四 下载源码及编译TensorFlowgithub直接下载最新代码 https://github.com/tensorflow/tensorflow
终端切换到源码主目录，
./configure
涉及一些交互项
dell@dell-VirtualBox:~/tensorflow-master$ ./configure WARNING: ignoring http_proxy in environment. You have bazel 0.5.4 installed. Please specify the location of python. [Default is /usr/bin/python]: /usr/bin/python3.5 Found possible Python library paths: /usr/local/lib/python3.5/dist-packages /usr/lib/python3/dist-packages Please input the desired Python library path to use. Default is [/usr/local/lib/python3.5/dist-packages] Do you wish to build TensorFlow with jemalloc as malloc support? [Y/n]: y jemalloc as malloc support will be enabled for TensorFlow. Do you wish to build TensorFlow with Google Cloud Platform support? [y/N]: n No Google Cloud Platform support will be enabled for TensorFlow. Do you wish to build TensorFlow with Hadoop File System support? [y/N]: n No Hadoop File System support will be enabled for TensorFlow. Do you wish to build TensorFlow with XLA JIT support? [y/N]: n No XLA JIT support will be enabled for TensorFlow. Do you wish to build TensorFlow with GDR support? [y/N]: n No GDR support will be enabled for TensorFlow. Do you wish to build TensorFlow with VERBS support? [y/N]: n No VERBS support will be enabled for TensorFlow. Do you wish to build TensorFlow with OpenCL support? [y/N]: n No OpenCL support will be enabled for TensorFlow. Do you wish to build TensorFlow with CUDA support? [y/N]: n No CUDA support will be enabled for TensorFlow. Do you wish to build TensorFlow with MPI support? [y/N]: n No MPI support will be enabled for TensorFlow. Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native]: Add "--config=mkl" to your bazel command to build with MKL support. Please note that MKL on MacOS or windows is still not supported. If you would like to use a local MKL instead of downloading, please set the environment variable "TF_MKL_ROOT" every time before build. Configuration finished
开始编译
bazel build --config opt //tensorflow:libtensorflow.so
耗时比较长，用了90多分钟。
./tensorflow/core/framework/function.h:526:3: note: in expansion of macro ‘REGISTER_OP_GRADIENT_UNIQ‘ REGISTER_OP_GRADIENT_UNIQ(ctr, name, fn) ^ ./tensorflow/core/framework/function.h:520:3: note: in expansion of macro ‘REGISTER_OP_GRADIENT_UNIQ_HELPER‘ REGISTER_OP_GRADIENT_UNIQ_HELPER(__COUNTER__, name, fn) ^ tensorflow/core/ops/nn_grad.cc:182:1: note: in expansion of macro ‘REGISTER_OP_GRADIENT‘ REGISTER_OP_GRADIENT("MaxPool", MaxPoolGrad); ^ ./tensorflow/core/framework/function.h:529:15: warning: ‘tensorflow::unused_grad_6‘ defined but not used [-Wunused-variable] static bool unused_grad_##ctr = SHOULD_REGISTER_OP_GRADIENT && ^ ./tensorflow/core/framework/function.h:526:3: note: in expansion of macro ‘REGISTER_OP_GRADIENT_UNIQ‘ REGISTER_OP_GRADIENT_UNIQ(ctr, name, fn) ^ ./tensorflow/core/framework/function.h:520:3: note: in expansion of macro ‘REGISTER_OP_GRADIENT_UNIQ_HELPER‘ REGISTER_OP_GRADIENT_UNIQ_HELPER(__COUNTER__, name, fn) ^ tensorflow/core/ops/nn_grad.cc:208:1: note: in expansion of macro ‘REGISTER_OP_GRADIENT‘ REGISTER_OP_GRADIENT("AvgPool", AvgPoolGrad); ^ ./tensorflow/core/framework/function.h:529:15: warning: ‘tensorflow::unused_grad_7‘ defined but not used [-Wunused-variable] static bool unused_grad_##ctr = SHOULD_REGISTER_OP_GRADIENT && ^ ./tensorflow/core/framework/function.h:526:3: note: in expansion of macro ‘REGISTER_OP_GRADIENT_UNIQ‘ REGISTER_OP_GRADIENT_UNIQ(ctr, name, fn) ^ ./tensorflow/core/framework/function.h:520:3: note: in expansion of macro ‘REGISTER_OP_GRADIENT_UNIQ_HELPER‘ REGISTER_OP_GRADIENT_UNIQ_HELPER(__COUNTER__, name, fn) ^ tensorflow/core/ops/nn_grad.cc:239:1: note: in expansion of macro ‘REGISTER_OP_GRADIENT‘ REGISTER_OP_GRADIENT("MaxPoolGrad", MaxPoolGradGrad); ^ ./tensorflow/core/framework/function.h:529:15: warning: ‘tensorflow::unused_grad_8‘ defined but not used [-Wunused-variable] static bool unused_grad_##ctr = SHOULD_REGISTER_OP_GRADIENT && ^ ./tensorflow/core/framework/function.h:526:3: note: in expansion of macro ‘REGISTER_OP_GRADIENT_UNIQ‘ REGISTER_OP_GRADIENT_UNIQ(ctr, name, fn) ^ ./tensorflow/core/framework/function.h:520:3: note: in expansion of macro ‘REGISTER_OP_GRADIENT_UNIQ_HELPER‘ REGISTER_OP_GRADIENT_UNIQ_HELPER(__COUNTER__, name, fn) ^ tensorflow/core/ops/nn_grad.cc:260:1: note: in expansion of macro ‘REGISTER_OP_GRADIENT‘ REGISTER_OP_GRADIENT("BiasAdd", BiasAddGrad); ^ Target //tensorflow:libtensorflow.so up-to-date: bazel-bin/tensorflow/libtensorflow.so INFO: Elapsed time: 5544.039s, Critical Path: 63.77s INFO: Build completed successfully, 2293 total actions
标签：opencl source swig ubuntu htm tor 源码 release strong
原文地址：http://www.cnblogs.com/majianguo/p/7594505.html
