// // Copyright © 2021-2024 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // #include "ShapeLayer.hpp" #include "LayerCloneBase.hpp" #include #include #include #include namespace armnn { ShapeLayer::ShapeLayer(const char* name) : Layer(1, 1, LayerType::Shape, name) { } std::unique_ptr ShapeLayer::CreateWorkload(const IWorkloadFactory& factory) const { ShapeQueueDescriptor descriptor; SetAdditionalInfo(descriptor); return factory.CreateWorkload(LayerType::Shape, descriptor, PrepInfoAndDesc(descriptor)); } ShapeLayer* ShapeLayer::Clone(Graph& graph) const { return CloneBase(graph, GetName()); } void ShapeLayer::ValidateTensorShapesFromInputs() { VerifyLayerConnections(1, CHECK_LOCATION()); const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape(); VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod); auto inferredShape = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape() }); if (inferredShape.size() != 1) { throw armnn::LayerValidationException("inferredShape has " + std::to_string(inferredShape.size()) + " elements - should only have 1."); } ValidateAndCopyShape(outputShape, inferredShape[0], m_ShapeInferenceMethod, "ShapeLayer"); } std::vector ShapeLayer::InferOutputShapes(const std::vector& inputShapes) const { if (inputShapes.size() != 1) { throw armnn::Exception("inputShapes' size is \"" + std::to_string(inputShapes.size()) + "\" - should be \"1\"."); } TensorShape outputShape({ inputShapes[0].GetNumDimensions()} ); return std::vector({ outputShape }); } void ShapeLayer::ExecuteStrategy(IStrategy& strategy) const { strategy.ExecuteStrategy(this, BaseDescriptor(), {}, GetName()); } } // namespace armnn