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| author | Mike Kelly <mike.kelly@arm.com> | 2023-03-08 13:47:17 +0000 |
|---|---|---|
| committer | Francis Murtagh <francis.murtagh@arm.com> | 2023-03-14 16:40:09 +0000 |
| commit | 3ec3077b4eaedcc0c20ab5774bdbe365da541445 (patch) | |
| tree | d601d2000897dec8691bf64cbddc9036f26b8034 /src/armnnTestUtils/MockBackend.cpp | |
| parent | a088cd00b3cce672d26cdcb4965fc2a86b48f339 (diff) | |
| download | armnn-3ec3077b4eaedcc0c20ab5774bdbe365da541445.tar.gz | |
IVGCVSW-3808 Add ElementwiseBinaryLayer
!android-nn-driver:9329
* Added ElementwiseBinaryLayer that can represent all ElementwiseBinary
operations including Add, Div, Sub, Maximum, Mul and Minimum.
* Updated Delegate to use ElementwiseBinaryLayer instead of the Add,
Div, Sub, Maximum, Mul and Minimum layers.
* Updated Deserializer to use ElementwiseBinaryLayer instead of the Add,
Div, Sub, Maximum, Mul and Minimum layers.
* Updated OnnxParser to use ElementwiseBinaryLayer instead of the Add
layer.
* Updated TfLiteParser to use ElementwiseBinaryLayer instead of the Add,
Div, Sub, Maximum, Mul and Minimum layers.
* Updated CL and Neon tests to use ElementwiseBinaryLayer.
* Updated CL and Neon Backend Specific Optimizations to accept
ElementBinaryLayers as well as Add, Div, Mul, Sub, Maximum and Minimum
layers.
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I7cbb96b60eb01f0e2b57b0541016d48a08b86c75
Diffstat (limited to 'src/armnnTestUtils/MockBackend.cpp')
| -rw-r--r-- | src/armnnTestUtils/MockBackend.cpp | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/src/armnnTestUtils/MockBackend.cpp b/src/armnnTestUtils/MockBackend.cpp index 5dfe9a3b8b..7441d0c487 100644 --- a/src/armnnTestUtils/MockBackend.cpp +++ b/src/armnnTestUtils/MockBackend.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2022 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -69,6 +69,7 @@ bool IsLayerSupported(const armnn::Layer* layer) case armnn::LayerType::Constant: case armnn::LayerType::Addition: case armnn::LayerType::Convolution2d: + case armnn::LayerType::ElementwiseBinary: // Layer supported return true; default: |