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1. IntroductionBazel, a tool similar to make, is a tool that Google has tailored to the features of its in-house software development, which is now used by Google to build most of the software inside. Its features have many highlights: Multi-language support: Currently Bazel supports Java, objective-c, and C + + by default, but can be extended to any other language. Advanced Build Description Language: A project is described using a langu
Project WorkspaceThe folder that contains the workspace file, called a Bazel project workspace.The workspace file identifies the current folder as workspace and can be empty.BUILD fileThe folder that contains the build file is called a package. All the package is under the workspace.Contains many different types of directives. The main instruction is build rule.Build rule contains a target, a variety of inputs, and dependencies.Bazel builds dependency
2.7/3.* can use the TensorFlow APIJava Environment: JDKcan be installed with Apt-getadd Java to the environment by the way, modify BASHRC in Linux. Path path= "$PATH: $HOME/bin"This Part I will not repeat, anyway you want this will not Baidu basically say goodbye programming. 2. Project MagentaHttps://github.com/tensorflow/magenta.git3. Installation of TensorFlowhttps://www.tensorflow.org/versions/r0.9/get_started/os_setup.htmlThis is done by the members:$ sudo apt-get install Python-pip python
/.. Note that the specific installation process can refer to any of the above two blogs, the Linux system may not be the same, but the installation method is similar. But the most important thing is to downgrade the GCC version mentioned in the main second blog,because a temporary tensorflow GPU can only be used normally in GCC 5.0 and the following versions. Android platform porting specific process 1. Install Java 1.8 2. Install Bazel 3. Download
My device: Ubuntu14.04+gpu TensorFlow1.0.1 Related papers "Show and Tell:lessons learned from the Mscoco Image captioning Challenge" https://arxiv.org/abs/1609.06647 Last September, just open source Github:https://github.com/tensorflow/models/tree/master/im2txt#generating-captions According to GitHub's Readme Install related items First Bazel according to the official website $echo "Deb [arch=amd64] http://storage.googleapis.com/
1. Install the compilation tool Bazel, you can refer to the official tutorial. https://docs.bazel.build/versions/master/install-ubuntu.html 2. Configure the TensorFlow compilation environment Run the Configure file under the TensorFlow directory and configure it according to your environment. For example, the following: **root@fly-virtual-machine:/home/share/tensorflow#./configure** Please specify the location of Python. [Default Is/root/anaconda3
https://github.com/tensorflow/magenta.git 2. Install the required tools:Install Python, Bazel, and TensorFlow here (https://www.tensorflow.org/versions/r0.9/get_started/os_setup.html) Note : I have been in the installation of Bazel "Segmentation fault:11" error, Google a lot of solutions found to be a GCC installation version of the problem, if you are a Mac user, downloaded Xcode, Does not mean that you
required tools:Install Python, Bazel, and TensorFlow here (https://www.tensorflow.org/versions/r0.9/get_started/os_setup.html) Note : I have been in the installation of Bazel "Segmentation fault:11" error, Google a lot of solutions found to be a GCC installation version of the problem, if you are a Mac user, downloaded Xcode, Does not mean that you have GCC installed, you must also install command line t
TensorFlow Serving,gpu TensorFlow serving is an open source tool that is designed to deploy a trained model for inference.TensorFlow serving GitHub AddressThis paper mainly introduces the installation of TensorFlow serving and supports the GPU model. Install dependent Bazel TensorFlow serving requires 0.4.5 above Bazel. Bazel Installation instructions here to dow
Install TensorFlow source code in Ubuntu 15.04 This article describes how to install TensorFlow source code. The installed system is Ubuntu 15.04.Obtain TensorFlow source code 1 git clone --recurse-submodules https://github.com/tensorflow/tensorflow Use--recurse-submodulesTo obtain the protobuf library files that TensorFlow depends on.Install Bazel Follow the instructions below to install the baz
The first is tensorflow to clone to a local copy.git clone--recurse-submodules https://github.com/tensorflow/tensorflow.gitSince it is Google's official request, it is best to --recurse-submodules Add, the document said can avoid some data structure serialization when the problem of compilation.This is the GitHub homepage for Android demo.Preparing for compilation 1. Install BazelbazelIs Google's own build tool. tensorflowcan only be partially supported cmake or gradle , but
Installation Bazel,bazel is the Google Open Source build tool, similar to make tool, used to compile the build TensorFlow Http://bazel.io/docs/install.html Bazel Download Address: Https://github.com/bazelbuild/bazel/releases (bazel-0.2.2b-installer-linux-x86_64.sh) sudo a
This shows the process of compiling the TensorFlow from the source code.The original tutorial https://github.com/tensorflow/tensorflow/blob/master/tensorflow/g3doc/get_started/os_setup.md# on GitHub Installing-from-sourcesFirst, install the Build tool Bazel (Http://www.bazel.io/docs/install.html#install-on-ubuntu)Install on Ubuntuinstall JDK 8If is running Ubuntu wily (15.10), you can skip this step. But for Ubuntu trusty (14.04 LTS) users, since Open
Always have a habit, see open source code updated, always want to update to the latest version, if ignored, I feel lazy or some irresponsible, this may be a form of obsessive-compulsive disorder it; A few nights ago git pull tensorflow, after finished also did not go after it, these two days to think up or do things manage it, also want to focus on the study into the TensorFlow, do play to feel ^_^. According to image recognition Https://www.tensorflow.org/tutorials/image_recognition first co
Android development, to download and extract the entire folder assignment, or to move to the directory >/build-tools folder If you feel the hassle, you can install the Android Studio IDE and take advantage of the IDE's own Android Pakage Manager Help download. 3. Build the NDK Environment NDK, I found it in a Chinese address, download Android-ndk-r11b-linux-x86_64.zip in Ubuntu. http://www.androiddevtools.cn/ The NDK directory is full, self-extracting, no need to add any files. L Mounting
sent over with a USB stick) tar Xvzf Cudnn-8.0-linux-x64-v5.1-ga.tgz # (unzip this file) sudo cp cuda/include/cudnn.h/usr/local/cuda/include # (copy) sudo cp cuda/lib64/libcudnn*/usr/local/cuda/lib64 # (copy) sudo chmoda+r/usr/local/cuda/include/cudnn.h/usr/local/cuda/ lib64/libcudnn*4.4 Installing additional dependent 4.4.1 Configuration environment variables按照的教程，在terminal中输入以下命令：sudo gedit ~/.bash_profile #打开. bash_profileThen, at the end of the open text, add:Export ld_l
First-time experience of abseil [open-source google C ++ library] and first-time experience of abseil Google discloses a series of C ++ libraries used in its project. For details, refer: Http://www.infoq.com/cn/news/2017/10/abseil? Utm_source = infoq utm_medium = popular_widget utm_campaign = popular_content_list utm_content = homepage Official Code address Https://github.com/abseil/abseil-cppHttps://abseil.io Running examples and usage Https://abseil.io/docs/cpp/quickstartThis is a s
Just bought the new machine and installed the latest Ubuntu system. The GPU support is not selected according to the process installed on the official website. Download the source code. Git is required, and if you don't have Git installed you need to install it first. git clone --recurse-submodules https://github.com/tensorflow/tensorflow Installing BazelInstall dependencies First sudo apt-get install openjdk-8-jdk openjdk-8-source sudo apt-get install pkg-config zip
model that contains the diagram model can be read directly to the Android system or the Tensorflowlite call to the iOS system. The next step is to generate a. lite file: First, generate Lite file-supported operations and unsupported operations: (if there are unsupported operations in the diagram, an error will be generated when generating the. lite file) https://github.com/tensorflow/ Tensorflow/blob/master/tensorflow/contrib/lite/g3doc/tf_ops_compatibility.md There are two ways to build a. li
",Remote = "Https://github.com/doubler/boringssl-bazel.git",)????Note that you need to enter the TensorFlow path First./configure, please .????Bazel Build tensorflow_serving/...??Finally verify./bazel-bin/tensorflow_serving/example/mnist_inference--port=9000 ~/tmp/I tensorflow_serving/session_bundle/session_bundle.cc:109] Attempting to load a sessionbundle from:/home/gezi/tmp/E tensorflow_serving/example/mn
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