diff options
Diffstat (limited to 'src/armnn/layers/NormalizationLayer.cpp')
-rw-r--r-- | src/armnn/layers/NormalizationLayer.cpp | 44 |
1 files changed, 44 insertions, 0 deletions
diff --git a/src/armnn/layers/NormalizationLayer.cpp b/src/armnn/layers/NormalizationLayer.cpp new file mode 100644 index 0000000000..cacd348444 --- /dev/null +++ b/src/armnn/layers/NormalizationLayer.cpp @@ -0,0 +1,44 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// +#include "NormalizationLayer.hpp" + +#include "LayerCloneBase.hpp" + +#include <armnn/TypesUtils.hpp> +#include <backends/WorkloadData.hpp> +#include <backends/WorkloadFactory.hpp> + +namespace armnn +{ + +NormalizationLayer::NormalizationLayer(const NormalizationDescriptor& param, const char* name) + : LayerWithParameters(1, 1, LayerType::Normalization, param, name) +{ +} + +std::unique_ptr<IWorkload> NormalizationLayer::CreateWorkload(const Graph& graph, const IWorkloadFactory& factory) const +{ + NormalizationQueueDescriptor descriptor; + return factory.CreateNormalization(descriptor, PrepInfoAndDesc(descriptor, graph)); +} + +NormalizationLayer* NormalizationLayer::Clone(Graph& graph) const +{ + return CloneBase<NormalizationLayer>(graph, m_Param, GetName()); +} + +void NormalizationLayer::ValidateTensorShapesFromInputs() +{ + ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection() != nullptr, + "NormalizationLayer: Input slot must be connected."); + + const TensorShape& outShape = GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(); + ConditionalThrowIfNotEqual<LayerValidationException>( + "NormalizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.", + GetOutputSlot(0).GetTensorInfo().GetShape(), + outShape); +} + +} // namespace armnn |