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//
// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "SpaceToBatchNdLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <armnnUtils/DataLayoutIndexed.hpp>
#include <backendsCommon/WorkloadData.hpp>
#include <backendsCommon/WorkloadFactory.hpp>
#include <numeric>
using namespace armnnUtils;
namespace armnn
{
SpaceToBatchNdLayer::SpaceToBatchNdLayer(const SpaceToBatchNdDescriptor param, const char* name)
: LayerWithParameters(1, 1, LayerType::SpaceToBatchNd, param, name)
{}
std::unique_ptr<IWorkload> SpaceToBatchNdLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
SpaceToBatchNdQueueDescriptor descriptor;
descriptor.m_Parameters.m_BlockShape = m_Param.m_BlockShape;
descriptor.m_Parameters.m_PadList = m_Param.m_PadList;
SetAdditionalInfo(descriptor);
return factory.CreateSpaceToBatchNd(descriptor, PrepInfoAndDesc(descriptor));
}
SpaceToBatchNdLayer* SpaceToBatchNdLayer::Clone(Graph& graph) const
{
IgnoreUnused(graph);
return CloneBase<SpaceToBatchNdLayer>(graph, m_Param, GetName());
}
std::vector<TensorShape> SpaceToBatchNdLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
ARMNN_ASSERT(inputShapes.size() == 1);
TensorShape inputShape = inputShapes[0];
TensorShape outputShape(inputShape);
outputShape[0] = inputShape[0] * std::accumulate(m_Param.m_BlockShape.begin(),
m_Param.m_BlockShape.end(),
1U,
std::multiplies<>());
DataLayoutIndexed dimensionIndices = m_Param.m_DataLayout;
unsigned int heightIndex = dimensionIndices.GetHeightIndex();
unsigned int widthIndex = dimensionIndices.GetWidthIndex();
std::pair<unsigned int, unsigned int> heightPad = m_Param.m_PadList[0];
std::pair<unsigned int, unsigned int> widthPad = m_Param.m_PadList[1];
outputShape[heightIndex] =
(inputShape[heightIndex] + heightPad.first + heightPad.second) / m_Param.m_BlockShape[0];
outputShape[widthIndex] =
(inputShape[widthIndex] + widthPad.first + widthPad.second) / m_Param.m_BlockShape[1];
return std::vector<TensorShape>({ outputShape });
}
void SpaceToBatchNdLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(1, CHECK_LOCATION());
const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
std::vector<TensorShape> inferredShapes = InferOutputShapes({
GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
ARMNN_ASSERT(inferredShapes.size() == 1);
ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "SpaceToBatchNdLayer");
}
ARMNN_NO_DEPRECATE_WARN_BEGIN
void SpaceToBatchNdLayer::Accept(ILayerVisitor& visitor) const
{
visitor.VisitSpaceToBatchNdLayer(this, GetParameters(), GetName());
}
ARMNN_NO_DEPRECATE_WARN_END
} // namespace
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