| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "SpaceToBatchNdLayer.hpp" |
| |
| #include "LayerCloneBase.hpp" |
| |
| #include <armnn/TypesUtils.hpp> |
| |
| #include <backendsCommon/DataLayoutIndexed.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<>()); |
| |
| 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()); |
| |
| 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 |