commit | ee5872d95455351458ad4373176360200594daa1 | [log] [tgz] |
---|---|---|
author | Teresa Charlin <teresa.charlinreyes@arm.com> | Fri Dec 03 16:07:42 2021 +0000 |
committer | Mike Kelly <mike.kelly@arm.com> | Tue Mar 14 18:30:34 2023 +0000 |
tree | 63207fa1e397e1c3cf87072d93c490a234935a8c | |
parent | de547168f108ec1494f18b3ab1ea50bd09f370c1 [diff] |
IVGCVSW-3809 Refactor Elementwise Binary ops to use ElementwiseBinaryLayer !armnn:9319 * Refactored all functions to convert Add, Div, Maximum, Minimum, Mul and Sub to use ElementwiseBinary layers instead. Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com> Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: Ic05885cd8692e7f1b7032862fb4a395af70e0bcd Signed-off-by: Mike Kelly <mike.kelly@arm.com> Change-Id: If9717d6ab236d97c76f6cd39b96bde86c81e4382
This directory contains the Arm NN driver for the Android Neural Networks API, implementing the android.hardware.neuralnetworks@1.0, android.hardware.neuralnetworks@1.1, android.hardware.neuralnetworks@1.2 and android.hardware.neuralnetworks@1.3 HALs.
For more information about supported operations and configurations, see NnapiSupport.txt
For documentation about integrating this driver into an Android tree, see Integrator Guide
For FAQs and troubleshooting advice, see FAQ.md
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/