meta-tensorflow
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
Last commit: 1 year, 1 month ago (mickledore branch)
Maintainer
- Hongxu Jia email
| Recipe name | Version | Description |
|---|---|---|
| bazel-native | 5.3.2 | Bazel build and test tool |
| keras | 2.12.0 | TensorFlow Keras is an implementation of the Keras API that uses TensorFlow as a backend. |
| openjdk-11-native | 11.0.15 | Java runtime based upon the OpenJDK Project, the community builds using source code from OpenJDK project |
| python3-astunparse | 1.6.3 | An AST unparser for Python |
| python3-gast | 0.4.0 | A generic AST to represent Python3's Abstract Syntax Tree(AST). |
| python3-google-auth | 2.0.0 | Google Authentication Library |
| python3-google-auth-oauthlib | 0.4.5 | The oauthlib integration for Google Auth |
| python3-google-pasta | 0.2.0 | The AST-based Python refactoring library |
| python3-opt-einsum | 3.3.0 | A tensor contraction order optimizer |
| tensorboard | 2.12.0 | A suite of web applications for inspecting and understanding your TensorFlow runs and graphs. |
| tensorflow | 2.12.0 | TensorFlow C/C++ Libraries |
| tensorflow-estimator | 2.12.0 | A high-level TensorFlow API that greatly simplifies machine learning programming. |
| tensorflow-for-poets | 2 | The code for the 'TensorFlow for poets 2' series of codelabs. In this demo, you could retrain your own image classification model |
| tensorflow-lite | 2.12.0 | TensorFlow C/C++ Libraries |
| tensorflow-native | 2.12.0 | TensorFlow C/C++ Libraries |