| // |
| // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "PadLayer.hpp" |
| #include "LayerCloneBase.hpp" |
| |
| #include <armnn/backends/TensorHandle.hpp> |
| #include <armnn/backends/WorkloadData.hpp> |
| #include <armnn/backends/WorkloadFactory.hpp> |
| |
| #include <cstring> |
| |
| namespace armnn |
| { |
| |
| PadLayer::PadLayer(const armnn::PadDescriptor& param, const char* name) |
| : LayerWithParameters(1, 1, LayerType::Pad, param, name) |
| {} |
| |
| std::unique_ptr<IWorkload> PadLayer::CreateWorkload(const armnn::IWorkloadFactory& factory) const |
| { |
| PadQueueDescriptor descriptor; |
| descriptor.m_Parameters.m_PadList = m_Param.m_PadList; |
| descriptor.m_Parameters.m_PaddingMode = m_Param.m_PaddingMode; |
| SetAdditionalInfo(descriptor); |
| |
| return factory.CreateWorkload(LayerType::Pad, descriptor, PrepInfoAndDesc(descriptor)); |
| } |
| |
| PadLayer* PadLayer::Clone(Graph& graph) const |
| { |
| auto layer = CloneBase<PadLayer>(graph, m_Param, GetName()); |
| |
| layer->m_Param.m_PadList = m_Param.m_PadList; |
| layer->m_Param.m_PaddingMode = m_Param.m_PaddingMode; |
| |
| return std::move(layer); |
| } |
| |
| std::vector<TensorShape> PadLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const |
| { |
| ARMNN_ASSERT(inputShapes.size() == 1); |
| const TensorShape& inputShape = inputShapes[0]; |
| |
| unsigned int rank = inputShape.GetNumDimensions(); |
| ARMNN_ASSERT(m_Param.m_PadList.size() == rank); |
| ARMNN_ASSERT(rank != 0); |
| |
| std::vector<unsigned int> outputDimensionSizes(rank); |
| for (unsigned int i = 0; i < rank; ++i) |
| { |
| outputDimensionSizes[i] = inputShape[i] + m_Param.m_PadList[i].first + m_Param.m_PadList[i].second; |
| } |
| |
| TensorShape tensorShape = TensorShape( rank, outputDimensionSizes.data()); |
| return std::vector<TensorShape>({ tensorShape }); |
| } |
| |
| void PadLayer::ValidateTensorShapesFromInputs() |
| { |
| VerifyLayerConnections(1, CHECK_LOCATION()); |
| |
| const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape(); |
| |
| VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod); |
| |
| auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() }); |
| |
| ARMNN_ASSERT(inferredShapes.size() == 1); |
| |
| ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "PadLayer"); |
| } |
| |
| void PadLayer::ExecuteStrategy(IStrategy& strategy) const |
| { |
| strategy.ExecuteStrategy(this, GetParameters(), {}, GetName()); |
| } |
| |
| } // namespace armnn |