Clone or download
Latest commit c577f2c Aug 31, 2018
Permalink
Failed to load latest commit information.
cmake Release 18.08 Aug 31, 2018
docs Release 18.02 Mar 9, 2018
include Release 18.08 Aug 31, 2018
samples Release 18.08 Aug 31, 2018
scripts Release 18.03 Mar 29, 2018
src Release 18.08 Aug 31, 2018
tests Release 18.08 Aug 31, 2018
third-party/half Release 18.08 Aug 31, 2018
Android.bp Release 18.05.02 Jul 5, 2018
Android.mk Release 18.08 Aug 31, 2018
BuildGuideAndroidNDK.md Release 18.08 Aug 31, 2018
BuildGuideCrossCompilation.md Release 18.08 Aug 31, 2018
CMakeLists.txt Release 18.08 Aug 31, 2018
LICENSE Release 18.05 May 23, 2018
README.md Release 18.08 Aug 31, 2018

README.md

Arm NN

For more information about Arm NN, see: https://developer.arm.com/products/processors/machine-learning/arm-nn

There is a getting started guide here using TensorFlow: https://developer.arm.com/technologies/machine-learning-on-arm/developer-material/how-to-guides/configuring-the-arm-nn-sdk-build-environment-for-tensorflow

There is a getting started guide here using TensorFlow Lite: TensorFlow Lite Support

There is a getting started guide here using Caffe: https://developer.arm.com/technologies/machine-learning-on-arm/developer-material/how-to-guides/configuring-the-arm-nn-sdk-build-environment-for-caffe

There is a getting started guide here using ONNX: ONNX Support

Build Instructions

Arm tests the build system of Arm NN with the following build environments:

Arm NN is written using portable C++14 and the build system uses CMake so it is possible to build for a wide variety of target platforms, from a wide variety of host environments.

The armnn/tests directory contains tests used during ArmNN development. Many of them depend on third-party IP, model protobufs and image files not distributed with ArmNN. The dependencies of some of the tests are available freely on the Internet, for those who wish to experiment.

The 'ExecuteNetwork' program, in armnn/tests/ExecuteNetwork, has no additional dependencies beyond those required by ArmNN and the model parsers. It takes any model and any input tensor, and simply prints out the output tensor. Run with no arguments to see command-line help.

The 'armnn/samples' directory contains SimpleSample.cpp. A very basic example of the ArmNN SDK API in use.