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//
// Copyright © 2019 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "InstanceNormalizationLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <backendsCommon/WorkloadData.hpp>
#include <backendsCommon/WorkloadFactory.hpp>
namespace armnn
{
InstanceNormalizationLayer::InstanceNormalizationLayer(const InstanceNormalizationDescriptor& param, const char* name)
: LayerWithParameters(1, 1, LayerType::InstanceNormalization, param, name)
{
}
std::unique_ptr<IWorkload> InstanceNormalizationLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
InstanceNormalizationQueueDescriptor descriptor;
return factory.CreateInstanceNormalization(descriptor, PrepInfoAndDesc(descriptor));
}
InstanceNormalizationLayer* InstanceNormalizationLayer::Clone(Graph& graph) const
{
return CloneBase<InstanceNormalizationLayer>(graph, m_Param, GetName());
}
void InstanceNormalizationLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(1, CHECK_LOCATION());
auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
BOOST_ASSERT(inferredShapes.size() == 1);
ConditionalThrowIfNotEqual<LayerValidationException>(
"InstanceNormalizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
inferredShapes[0]);
}
void InstanceNormalizationLayer::Accept(ILayerVisitor& visitor) const
{
visitor.VisitInstanceNormalizationLayer(this, GetParameters(), GetName());
}
} // namespace armnn
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