1 // 2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. 3 // SPDX-License-Identifier: MIT 4 // 5 6 #pragma once 7 8 #include <Layer.hpp> 9 10 namespace armnn 11 { 12 13 /// NOTE: this is an abstract class to encapsulate the element wise operations, it does not implement: 14 /// std::unique_ptr<IWorkload> Layer::CreateWorkload(const IWorkloadFactory& factory) const = 0; 15 /// Layer* Clone(Graph& graph) const = 0; 16 class ElementwiseBaseLayer : public Layer 17 { 18 public: 19 /// Check if the input tensor shape(s) 20 /// will lead to a valid configuration of the element wise operation. 21 /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated. 22 void ValidateTensorShapesFromInputs() override; 23 24 /// By default returns inputShapes if the number of inputs are equal to number of outputs, 25 /// otherwise infers the output shapes from given input shapes and layer properties. 26 /// @param [in] inputShapes The input shapes layer has. 27 /// @return A vector to the inferred output shape. 28 std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override; 29 30 protected: 31 /// @param numInputSlots The number of input slots for the layer. 32 /// @param numOutputSlots The number of output slots for the layer. 33 /// @param type The layer type. 34 /// @param name Optional name for the layer. 35 ElementwiseBaseLayer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char* name); 36 37 /// Default destructor 38 ~ElementwiseBaseLayer() = default; 39 }; 40 41 } // namespace 42