surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 4 | // |
| 5 | #pragma once |
| 6 | |
| 7 | #include "LayerWithParameters.hpp" |
| 8 | |
| 9 | namespace armnn |
| 10 | { |
| 11 | |
| 12 | class ScopedCpuTensorHandle; |
| 13 | |
Conor Kennedy | 35052ae | 2018-12-21 14:38:36 +0000 | [diff] [blame^] | 14 | /// This layer represents a convolution 2d operation. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 15 | class Convolution2dLayer : public LayerWithParameters<Convolution2dDescriptor> |
| 16 | { |
| 17 | public: |
Conor Kennedy | 35052ae | 2018-12-21 14:38:36 +0000 | [diff] [blame^] | 18 | /// A unique pointer to store Weight values. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 19 | std::unique_ptr<ScopedCpuTensorHandle> m_Weight; |
Conor Kennedy | 35052ae | 2018-12-21 14:38:36 +0000 | [diff] [blame^] | 20 | /// A unique pointer to store Bias values. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 21 | std::unique_ptr<ScopedCpuTensorHandle> m_Bias; |
| 22 | |
Conor Kennedy | 35052ae | 2018-12-21 14:38:36 +0000 | [diff] [blame^] | 23 | /// Makes a workload for the Convolution2d type. |
| 24 | /// @param [in] graph The graph where this layer can be found. |
| 25 | /// @param [in] factory The workload factory which will create the workload. |
| 26 | /// @return A pointer to the created workload, or nullptr if not created. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 27 | virtual std::unique_ptr<IWorkload> CreateWorkload(const Graph& graph, |
| 28 | const IWorkloadFactory& factory) const override; |
| 29 | |
Conor Kennedy | 35052ae | 2018-12-21 14:38:36 +0000 | [diff] [blame^] | 30 | /// Creates a dynamically-allocated copy of this layer. |
| 31 | /// @param [in] graph The graph into which this layer is being cloned. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 32 | Convolution2dLayer* Clone(Graph& graph) const override; |
| 33 | |
Conor Kennedy | 35052ae | 2018-12-21 14:38:36 +0000 | [diff] [blame^] | 34 | /// Check if the input tensor shape(s) |
| 35 | /// will lead to a valid configuration of @ref Convolution2dLayer. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 36 | void ValidateTensorShapesFromInputs() override; |
| 37 | |
Conor Kennedy | 35052ae | 2018-12-21 14:38:36 +0000 | [diff] [blame^] | 38 | /// By default returns inputShapes if the number of inputs are equal to number of outputs, |
| 39 | /// otherwise infers the output shapes from given input shapes and layer properties. |
| 40 | /// @param [in] inputShapes The input shapes layer has. |
| 41 | /// @return A vector to the inferred output shape. |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 42 | std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override; |
| 43 | |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 44 | protected: |
Conor Kennedy | 35052ae | 2018-12-21 14:38:36 +0000 | [diff] [blame^] | 45 | /// Constructor to create a Convolution2dLayer. |
| 46 | /// @param [in] param Convolution2dDescriptor to configure the convolution2d operation. |
| 47 | /// @param [in] name Optional name for the layer. |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 48 | Convolution2dLayer(const Convolution2dDescriptor& param, const char* name); |
Conor Kennedy | 35052ae | 2018-12-21 14:38:36 +0000 | [diff] [blame^] | 49 | |
| 50 | /// Default destructor |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 51 | ~Convolution2dLayer() = default; |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 52 | |
Conor Kennedy | 35052ae | 2018-12-21 14:38:36 +0000 | [diff] [blame^] | 53 | /// Retrieve the handles to the constant values stored by the layer. |
| 54 | /// @return A vector of the constant tensors stored by this layer. |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 55 | ConstantTensors GetConstantTensorsByRef() override; |
surmeh01 | 3537c2c | 2018-05-18 16:31:43 +0100 | [diff] [blame] | 56 | }; |
| 57 | |
| 58 | } // namespace |