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//
// Copyright © 2019-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "SwitchLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/backends/WorkloadFactory.hpp>
namespace armnn
{
SwitchLayer::SwitchLayer(const char* name)
: Layer(2, 2, LayerType::Switch, name)
{}
std::unique_ptr<IWorkload> SwitchLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
SwitchQueueDescriptor descriptor;
SetAdditionalInfo(descriptor);
return factory.CreateWorkload(LayerType::Switch, descriptor, PrepInfoAndDesc(descriptor));
}
SwitchLayer* SwitchLayer::Clone(Graph& graph) const
{
return CloneBase<SwitchLayer>(graph, GetName());
}
void SwitchLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(2, CHECK_LOCATION());
const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
if (GetNumOutputSlots() != 2)
{
throw armnn::LayerValidationException("SwitchLayer: The layer should return 2 outputs.");
}
// Assuming first input is the Input and second input is the Constant
std::vector<TensorShape> inferredShapes = InferOutputShapes({
GetInputSlot(0).GetTensorInfo().GetShape(),
GetInputSlot(1).GetTensorInfo().GetShape()});
if (inferredShapes.size() != 2)
{
throw armnn::LayerValidationException("inferredShapes has "
+ std::to_string(inferredShapes.size()) +
" element(s) - should only have 2.");
}
ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "SwitchLayer");
ValidateAndCopyShape(
GetOutputSlot(1).GetTensorInfo().GetShape(), inferredShapes[1], m_ShapeInferenceMethod, "SwitchLayer", 1);
}
void SwitchLayer::ExecuteStrategy(IStrategy& strategy) const
{
strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
}
} // namespace armnn
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