1 // 2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. 3 // SPDX-License-Identifier: MIT 4 // 5 6 #pragma once 7 8 #include "LayerWithParameters.hpp" 9 10 namespace armnn 11 { 12 13 // This layer represents a PReLU activation operation. 14 class PreluLayer : public Layer 15 { 16 public: 17 /// Makes a workload for the PReLU type. 18 /// @param [in] graph The graph where this layer can be found. 19 /// @param [in] factory The workload factory which will create the workload. 20 /// @return A pointer to the created workload, or nullptr if not created. 21 virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override; 22 23 /// Creates a dynamically-allocated copy of this layer. 24 /// @param [in] graph The graph into which this layer is being cloned. 25 PreluLayer* Clone(Graph& graph) const override; 26 27 /// By default returns inputShapes if the number of inputs are equal to number of outputs, 28 /// otherwise infers the output shapes from given input shapes and layer properties. 29 /// @param [in] inputShapes The input shapes layer has. 30 /// @return A vector to the inferred output shape. 31 std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override; 32 33 /// Check if the input tensor shape(s) 34 /// will lead to a valid configuration of @ref PreluLayer. 35 /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated. 36 void ValidateTensorShapesFromInputs() override; 37 38 void ExecuteStrategy(IStrategy& strategy) const override; 39 40 41 protected: 42 /// Constructor to create a PreluLayer. 43 /// @param [in] name Optional name for the layer. 44 PreluLayer(const char* name); 45 46 /// Default destructor 47 ~PreluLayer() = default; 48 }; 49 50 } // namespace armnn 51