• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
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 depthwise convolution 2d operation.
15 class DepthwiseConvolution2dLayer : public LayerWithParameters<DepthwiseConvolution2dDescriptor>
16 {
17 public:
18     /// A unique pointer to store Weight values.
19     std::unique_ptr<ScopedCpuTensorHandle> m_Weight;
20     /// A unique pointer to store Bias values.
21     std::unique_ptr<ScopedCpuTensorHandle> m_Bias;
22 
23     /// Makes a workload for the DepthwiseConvolution2d 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.
27     virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
28 
29     /// Creates a dynamically-allocated copy of this layer.
30     /// @param [in] graph The graph into which this layer is being cloned.
31     DepthwiseConvolution2dLayer* Clone(Graph& graph) const override;
32 
33     /// Check if the input tensor shape(s)
34     /// will lead to a valid configuration of @ref DepthwiseConvolution2dLayer.
35     /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
36     void ValidateTensorShapesFromInputs() override;
37 
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.
42     std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
43 
44     void Accept(ILayerVisitor& visitor) const override;
45 
46     void SerializeLayerParameters(ParameterStringifyFunction& fn) const override;
47 
48 protected:
49     /// Constructor to create a DepthwiseConvolution2dLayer.
50     /// @param [in] param DepthwiseConvolution2dDescriptor to configure the depthwise convolution2d.
51     /// @param [in] name Optional name for the layer.
52     DepthwiseConvolution2dLayer(const DepthwiseConvolution2dDescriptor& param, const char* name);
53 
54     /// Default destructor
55     ~DepthwiseConvolution2dLayer() = default;
56 
57     /// Retrieve the handles to the constant values stored by the layer.
58     /// @return A vector of the constant tensors stored by this layer.
59     ConstantTensors GetConstantTensorsByRef() override;
60 };
61 
62 } // namespace
63