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//
// Copyright © 2021-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ChannelShuffleLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <armnn/backends/Workload.hpp>
#include <armnn/backends/WorkloadFactory.hpp>
namespace armnn
{
ChannelShuffleLayer::ChannelShuffleLayer(const ChannelShuffleDescriptor& param, const char* name)
: LayerWithParameters(1, 1, LayerType::ChannelShuffle, param, name)
{
}
std::unique_ptr<IWorkload> ChannelShuffleLayer::CreateWorkload(const IWorkloadFactory &factory) const
{
ChannelShuffleQueueDescriptor descriptor;
SetAdditionalInfo(descriptor);
return factory.CreateWorkload(LayerType::ChannelShuffle, descriptor, PrepInfoAndDesc(descriptor));
}
ChannelShuffleLayer* ChannelShuffleLayer::Clone(Graph& graph) const
{
return CloneBase<ChannelShuffleLayer>(graph, m_Param, GetName());
}
void ChannelShuffleLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(1, CHECK_LOCATION());
const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
auto inferredShapes = Layer::InferOutputShapes({GetInputSlot(0).GetTensorInfo().GetShape() });
ARMNN_ASSERT(inferredShapes.size() == 1);
ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ChannelShuffleLayer");
}
}
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