commit | bbd4061da3094e1eec61fcdb6297f626ff025ba2 | [log] [tgz] |
---|---|---|
author | saoste01 <saoirse.stewart@arm.com> | Tue Aug 28 15:41:51 2018 +0100 |
committer | Matthew Bentham <matthew.bentham@arm.com> | Mon Sep 17 17:21:25 2018 +0100 |
tree | c51c1d2a62e6ccc86c913b5d20b9f3eba314d759 | |
parent | 8c5e3dc9f04ac15aa926d1a1214610760830dbe2 [diff] |
IVGCVSW-1779: Updating TF Parser to include the RealDiv operator Change-Id: I4b193d9119f5aaf41081335df043352953364c87
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
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.