commit | 07dedda93954646d9ed8bf3d468a89634f88f112 | [log] [tgz] |
---|---|---|
author | jimfly01 <jim.flynn@arm.com> | Tue Oct 09 12:29:41 2018 +0100 |
committer | Matthew Bentham <matthew.bentham@arm.com> | Fri Oct 12 11:59:53 2018 +0100 |
tree | 2c44d598da80947eeaf5b3d3613c0cfbbaa7f2a3 | |
parent | 5602b1952c684514a13beb955123b0b46a58cde9 [diff] |
IVGCVSW-1929: Optimize function signature change * Optimize now returns reasons for failure !armnn:152481 Change-Id: I1cd7f5796b3c469e9baecbed80e392ac74e40ef4
This directory contains the ArmNN driver for the Android Neural Networks API, implementing the android.hardware.neuralnetworks@1.0 HAL and android.hardware.neuralnetworks@1.1 HAL.
For more information about supported operations and configurations, see NnapiSupport.txt
<ANDROID_ROOT>
<ANDROID_ROOT>/vendor/arm/android-nn-driver
system/vendor/bin/hw
directory in the Android image. To update the build environment, add to the contents of the variable PRODUCT_PACKAGES
within the device-specific makefile that is located in the <ANDROID_ROOT>/device/<manufacturer>/<product>
directory. This file is normally called device.mk
:For Android O or Android P, using NN API version (1.0), the following should be added to device.mk
:
For Android P, a new version of the NN API is available (1.1), thus the following should be added to device.mk
instead:
make
in <ANDROID_ROOT>
For example, if the ArmNN driver has been built with the NN API 1.0, check for the following file:
Please Note: Android O is only compatible with NN API version 1.0.
NeuralNetworksTest
unit tests (note this is an optional component that must be built).ArmnnDriver
tag.The GPU tuner is a feature of the Compute Library that finds optimum values for GPU acceleration tuning parameters. The recommended way of using it with ArmNN is to generate the tuning data during development of the Android image for a device, and use it in read-only mode during normal operation:
The android-nn-driver is provided under the MIT license. See LICENSE for more information. Contributions to this project are accepted under the same license.
Individual files contain the following tag instead of the full license text.
SPDX-License-Identifier: MIT
This enables machine processing of license information based on the SPDX License Identifiers that are available here: http://spdx.org/licenses/