// // Copyright © 2020-2024 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // #include "ElementwiseUnaryLayer.hpp" #include "LayerCloneBase.hpp" #include #include #include namespace armnn { ElementwiseUnaryLayer::ElementwiseUnaryLayer(const ElementwiseUnaryDescriptor& param, const char* name) : LayerWithParameters(1, 1, LayerType::ElementwiseUnary, param, name) { } std::unique_ptr ElementwiseUnaryLayer::CreateWorkload(const IWorkloadFactory& factory) const { ElementwiseUnaryQueueDescriptor descriptor; return factory.CreateWorkload(LayerType::ElementwiseUnary, descriptor, PrepInfoAndDesc(descriptor)); } ElementwiseUnaryLayer* ElementwiseUnaryLayer::Clone(Graph& graph) const { return CloneBase(graph, m_Param, GetName()); } std::vector ElementwiseUnaryLayer::InferOutputShapes(const std::vector& inputShapes) const { // Should return the shape of the input tensor if (inputShapes.size() != 1) { throw armnn::Exception("inputShapes' size is \"" + std::to_string(inputShapes.size()) + "\" - should be \"1\"."); } const TensorShape& input = inputShapes[0]; return std::vector({ input }); } void ElementwiseUnaryLayer::ValidateTensorShapesFromInputs() { VerifyLayerConnections(1, CHECK_LOCATION()); const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape(); VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod); std::vector inferredShapes = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape()}); if (inferredShapes.size() != 1) { throw armnn::Exception("inferredShapes has " + std::to_string(inferredShapes.size()) + " elements - should only have 1."); } ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, GetLayerTypeAsCString(GetType())); } void ElementwiseUnaryLayer::ExecuteStrategy(IStrategy& strategy) const { strategy.ExecuteStrategy(this, GetParameters(), {}, GetName()); } } // namespace armnn