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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/backends/aclCommon | |
| 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/backends/aclCommon')
| -rw-r--r-- | src/backends/aclCommon/ArmComputeSubgraphUtils.hpp | 23 |
1 files changed, 22 insertions, 1 deletions
diff --git a/src/backends/aclCommon/ArmComputeSubgraphUtils.hpp b/src/backends/aclCommon/ArmComputeSubgraphUtils.hpp index c9d6c71f18..599d3538eb 100644 --- a/src/backends/aclCommon/ArmComputeSubgraphUtils.hpp +++ b/src/backends/aclCommon/ArmComputeSubgraphUtils.hpp @@ -1,5 +1,5 @@ // -// Copyright © 2020,2022 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2020-2023 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -147,6 +147,27 @@ LayerType* FuseMultiplicationLayer(OptimizationViews& optimizationViews, } template<typename LayerType> +LayerType* FuseElementwiseBinaryLayer(OptimizationViews& optimizationViews, + LayerType* baseLayer, + ActivationLayer* activationLayer, + ActivationDescriptor& activationDesc, + BinaryOperation operation, + std::string name) +{ + IConnectableLayer* replacement = optimizationViews.GetINetwork()->AddElementwiseBinaryLayer(operation, + name.c_str()); + LayerType* replacementLayer = PolymorphicDowncast<LayerType*>(replacement); + + FuseLayer(optimizationViews, + baseLayer, + replacementLayer, + activationLayer, + activationDesc); + + return replacementLayer; +} + +template<typename LayerType> LayerType* FuseBatchNormalizationLayer(OptimizationViews& optimizationViews, LayerType* baseLayer, ActivationLayer* activationLayer, |