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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "L2NormalizationLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <backendsCommon/WorkloadData.hpp>
#include <backendsCommon/WorkloadFactory.hpp>
namespace armnn
{
L2NormalizationLayer::L2NormalizationLayer(const L2NormalizationDescriptor& param, const char* name)
: LayerWithParameters(1, 1, LayerType::L2Normalization, param, 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, m_Param, GetName());
}
void L2NormalizationLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(1, CHECK_LOCATION());
auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
BOOST_ASSERT(inferredShapes.size() == 1);
ConditionalThrowIfNotEqual<LayerValidationException>(
"L2NormalizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
inferredShapes[0]);
}
} // namespace armnn
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