TensorFlow is an open source software library for high performance numerical computation primarily used in machine learning. Its flexible architecture allows easy deployment of computation across a variety of types of platforms (CPUs, GPUs, TPUs), and a range of systems from single desktops to clusters of servers to mobile and edge devices. (https://www.tensorflow.org/) The build system of TensorFlow is Bazel (https://bazel.build/). This layer integrates TensorFlow to OE/Yocto platform - Integrate Google's bazel to Yocto - Add Yocto toolchain for bazel to support cross compiling. - Replace python package system(pip/wheel) with Yocto package system(rpm/deb/ipk).

Setup information Mailing list

Git repository

git://git.yoctoproject.org/meta-tensorflow web repo


meta-demo web subdirectory

Last commit: 2 years, 3 months ago (master branch)



The meta-tensorflow layer depends upon:

Recipe name Version Description
core-image-x11-ts-demo 1.0 A very basic X11 image with a terminal
face-detection 0.1 A demo of human face recognition
python3-google-api-core 1.8.2 Google API client core library
python3-google-cloud-bigtable 0.32.1 Google Cloud Bigtable API client library
python3-google-cloud-core 0.29.1 Google Cloud API client core library
python3-googleapis-common-protos 1.5.9 Common protobufs used in Google APIs
python3-grpc-google-iam-v1 0.11.4 GRPC library for the google-iam-v1 service