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author | surmeh01 <surabhi.mehta@arm.com> | 2018-05-18 16:31:43 +0100 |
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committer | telsoa01 <telmo.soares@arm.com> | 2018-05-23 13:09:07 +0100 |
commit | 3537c2ca7ebf31c1673b9ec2bb0c17b0406bbae0 (patch) | |
tree | 5950603ad78ec3fe56fb31ddc7f4d52a19f5bc60 /src/armnn/layers/L2NormalizationLayer.cpp | |
parent | bceff2fb3fc68bb0aa88b886900c34b77340c826 (diff) | |
download | armnn-3537c2ca7ebf31c1673b9ec2bb0c17b0406bbae0.tar.gz |
Release 18.05
Diffstat (limited to 'src/armnn/layers/L2NormalizationLayer.cpp')
-rw-r--r-- | src/armnn/layers/L2NormalizationLayer.cpp | 50 |
1 files changed, 50 insertions, 0 deletions
diff --git a/src/armnn/layers/L2NormalizationLayer.cpp b/src/armnn/layers/L2NormalizationLayer.cpp new file mode 100644 index 0000000000..07020bfdca --- /dev/null +++ b/src/armnn/layers/L2NormalizationLayer.cpp @@ -0,0 +1,50 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// +#include "L2NormalizationLayer.hpp" + +#include "LayerCloneBase.hpp" + +#include <armnn/TypesUtils.hpp> +#include <backends/WorkloadData.hpp> +#include <backends/WorkloadFactory.hpp> + +namespace armnn +{ + +L2NormalizationLayer::L2NormalizationLayer(const char* name) + : Layer(1, 1, LayerType::L2Normalization, name) +{ +} + +std::unique_ptr<IWorkload> L2NormalizationLayer::CreateWorkload(const Graph& graph, + const IWorkloadFactory& factory) const +{ + L2NormalizationQueueDescriptor descriptor; + return factory.CreateL2Normalization(descriptor, PrepInfoAndDesc(descriptor, graph)); +} + +L2NormalizationLayer* L2NormalizationLayer::Clone(Graph& graph) const +{ + return CloneBase<L2NormalizationLayer>(graph, GetName()); +} + +void L2NormalizationLayer::ValidateTensorShapesFromInputs() +{ + ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection() != nullptr, + "L2NormalizationLayer: InputSlot must be connected to an OutputSlot"); + ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection()->IsTensorInfoSet(), + "L2NormalizationLayer: TensorInfo must be set on connected OutputSlot."); + + IOutputSlot* input = GetInputSlot(0).GetConnection(); + + // input and output shapes are the same + TensorShape const& outShape = input->GetTensorInfo().GetShape(); + ConditionalThrowIfNotEqual<LayerValidationException>( + "L2NormalizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", + GetOutputSlot(0).GetTensorInfo().GetShape(), + outShape); +} + +} // namespace armnn |