README.md

Android Neural Networks HAL with OpenVINO supporting hardware accelerators such as /

Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN)

Introduction

The Android Neural Network Hardware Abstraction Layer(NN HAL) provides the hardware accelration for Android Neural Networks (NN) API. Intel NN-HAL takes the advantage of the Intel MKLD-DNN, enables high performance and low power implementation of Neural Networks API. Intel MKL-DNN https://github.com/intel/mkl-dnn & https://01.org/mkl-dnn Android NN API is on [Neural Networks API] (https://developer.android.com/ndk/guides/neuralnetworks/index.html). OpenVINO deep learning framework https://github.com/opencv/dldt & https://01.org/openvinotoolkit

Supported Operations

Following operations are currently supported by Android Neural Networks HAL for Intel MKL-DNN.

• ANEURALNETWORKS_CONV_2D
• ANEURALNETWORKS_ADD

Known issues

Support for Multiple Tensor inputs at runtime to model/network is ongoing

License

Android Neural Networks HAL is distributed under the Apache License, Version 2.0 You may obtain a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0 Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel® architecture.

How to provide feedback

By default, please submit an issue using native github.com interface: https://github.com/intel/nn-hal/issues

How to contribute

Create a pull request on github.com with your patch. Make sure your change is cleanly building and passing ULTs.

A maintainer will contact you if there are questions or concerns.