blob: d905f5248ad34fdd4f3d9b51d9bd142644cce2ad [file] [log] [blame]
//
// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "SwitchLayer.hpp"
#include "LayerCloneBase.hpp"
#include <backendsCommon/WorkloadData.hpp>
#include <backendsCommon/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;
return factory.CreateSwitch(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);
ARMNN_ASSERT_MSG(GetNumOutputSlots() == 2, "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).GetConnection()->GetTensorInfo().GetShape(),
GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape()});
ARMNN_ASSERT(inferredShapes.size() == 2);
ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "SwitchLayer");
ValidateAndCopyShape(
GetOutputSlot(1).GetTensorInfo().GetShape(), inferredShapes[1], m_ShapeInferenceMethod, "SwitchLayer", 1);
}
void SwitchLayer::Accept(ILayerVisitor& visitor) const
{
visitor.VisitSwitchLayer(this, GetName());
}
} // namespace armnn