| // |
| // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #include "SwitchLayer.hpp" |
| |
| #include "LayerCloneBase.hpp" |
| |
| #include <armnn/backends/WorkloadData.hpp> |
| #include <armnn/backends/WorkloadFactory.hpp> |
| |
| namespace armnn |
| { |
| |
| SwitchLayer::SwitchLayer(const char* name) |
| : Layer(2, 2, LayerType::Switch, name) |
| {} |
| |
| std::unique_ptr<IWorkload> SwitchLayer::CreateWorkload(const IWorkloadFactory& factory) const |
| { |
| SwitchQueueDescriptor descriptor; |
| SetAdditionalInfo(descriptor); |
| |
| return factory.CreateWorkload(LayerType::Switch, descriptor, PrepInfoAndDesc(descriptor)); |
| } |
| |
| SwitchLayer* SwitchLayer::Clone(Graph& graph) const |
| { |
| return CloneBase<SwitchLayer>(graph, GetName()); |
| } |
| |
| void SwitchLayer::ValidateTensorShapesFromInputs() |
| { |
| VerifyLayerConnections(2, CHECK_LOCATION()); |
| |
| const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape(); |
| |
| VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod); |
| |
| ARMNN_ASSERT_MSG(GetNumOutputSlots() == 2, "SwitchLayer: The layer should return 2 outputs."); |
| |
| // Assuming first input is the Input and second input is the Constant |
| std::vector<TensorShape> inferredShapes = InferOutputShapes({ |
| GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape(), |
| GetInputSlot(1).GetConnection()->GetTensorInfo().GetShape()}); |
| |
| ARMNN_ASSERT(inferredShapes.size() == 2); |
| |
| ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "SwitchLayer"); |
| |
| ValidateAndCopyShape( |
| GetOutputSlot(1).GetTensorInfo().GetShape(), inferredShapes[1], m_ShapeInferenceMethod, "SwitchLayer", 1); |
| } |
| |
| ARMNN_NO_DEPRECATE_WARN_BEGIN |
| void SwitchLayer::Accept(ILayerVisitor& visitor) const |
| { |
| visitor.VisitSwitchLayer(this, GetName()); |
| } |
| ARMNN_NO_DEPRECATE_WARN_END |
| |
| } // namespace armnn |