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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "SpaceToBatchNdLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <backendsCommon/WorkloadData.hpp>
#include <backendsCommon/WorkloadFactory.hpp>
#include <numeric>
namespace armnn
{
SpaceToBatchNdLayer::SpaceToBatchNdLayer(const SpaceToBatchNdDescriptor param, const char* name)
: LayerWithParameters(1, 1, LayerType::SpaceToBatchNd, param, name)
{}
std::unique_ptr<IWorkload> SpaceToBatchNdLayer::CreateWorkload(const Graph& graph,
const IWorkloadFactory& factory) const
{
SpaceToBatchNdQueueDescriptor descriptor;
descriptor.m_Parameters.m_BlockShape = m_Param.m_BlockShape;
descriptor.m_Parameters.m_PadList = m_Param.m_PadList;
return factory.CreateSpaceToBatchNd(descriptor, PrepInfoAndDesc(descriptor, graph));
}
SpaceToBatchNdLayer* SpaceToBatchNdLayer::Clone(Graph& graph) const
{
return CloneBase<SpaceToBatchNdLayer>(graph, m_Param, GetName());
}
std::vector<TensorShape> SpaceToBatchNdLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
BOOST_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<>());
unsigned int heightIndex = m_Param.m_DataLayout.GetHeightIndex();
unsigned int widthIndex = m_Param.m_DataLayout.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());
std::vector<TensorShape> inferredShapes = InferOutputShapes({
GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
BOOST_ASSERT(inferredShapes.size() == 1);
ConditionalThrowIfNotEqual<LayerValidationException>(
"SpaceToBatchNdLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
inferredShapes[0]);
}
} // namespace
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