1 // 2 // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. 3 // SPDX-License-Identifier: MIT 4 // 5 #pragma once 6 7 #include "LayerWithParameters.hpp" 8 9 namespace armnn 10 { 11 12 class ScopedCpuTensorHandle; 13 14 /// This layer represents a convolution 2d operation. 15 class Convolution2dLayer : public LayerWithParameters<Convolution2dDescriptor> 16 { 17 public: 18 19 /// A unique pointer to store Weight values. 20 std::unique_ptr<ScopedCpuTensorHandle> m_Weight; 21 /// A unique pointer to store Bias values. 22 std::unique_ptr<ScopedCpuTensorHandle> m_Bias; 23 24 /// Makes a workload for the Convolution2d type. 25 /// @param [in] graph The graph where this layer can be found. 26 /// @param [in] factory The workload factory which will create the workload. 27 /// @return A pointer to the created workload, or nullptr if not created. 28 virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override; 29 30 /// Creates a dynamically-allocated copy of this layer. 31 /// @param [in] graph The graph into which this layer is being cloned. 32 Convolution2dLayer* Clone(Graph& graph) const override; 33 34 /// Check if the input tensor shape(s) 35 /// will lead to a valid configuration of @ref Convolution2dLayer. 36 /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated. 37 void ValidateTensorShapesFromInputs() override; 38 39 /// By default returns inputShapes if the number of inputs are equal to number of outputs, 40 /// otherwise infers the output shapes from given input shapes and layer properties. 41 /// @param [in] inputShapes The input shapes layer has. 42 /// @return A vector to the inferred output shape. 43 std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override; 44 45 void Accept(ILayerVisitor& visitor) const override; 46 47 void SerializeLayerParameters(ParameterStringifyFunction& fn) const override; 48 49 protected: 50 /// Constructor to create a Convolution2dLayer. 51 /// @param [in] param Convolution2dDescriptor to configure the convolution2d operation. 52 /// @param [in] name Optional name for the layer. 53 Convolution2dLayer(const Convolution2dDescriptor& param, const char* name); 54 55 /// Default destructor 56 ~Convolution2dLayer() = default; 57 58 /// Retrieve the handles to the constant values stored by the layer. 59 /// @return A vector of the constant tensors stored by this layer. 60 ConstantTensors GetConstantTensorsByRef() override; 61 }; 62 63 } // namespace 64