From 03c7ff3f6188240baaeaeb405a357a0c58195fec Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Tue, 22 Aug 2023 12:00:04 +0100 Subject: IVGCVSW-7702 Update Doxygen Docu for 23.08 Signed-off-by: Nikhil Raj Change-Id: I357a9f7e47614589327c1ac5d95b6224ff77103d --- ..._depthwise_convolution2d_layer_8hpp_source.html | 193 +++++++++++++++++++++ 1 file changed, 193 insertions(+) create mode 100644 latest/_depthwise_convolution2d_layer_8hpp_source.html (limited to 'latest/_depthwise_convolution2d_layer_8hpp_source.html') diff --git a/latest/_depthwise_convolution2d_layer_8hpp_source.html b/latest/_depthwise_convolution2d_layer_8hpp_source.html new file mode 100644 index 0000000000..80edf6240a --- /dev/null +++ b/latest/_depthwise_convolution2d_layer_8hpp_source.html @@ -0,0 +1,193 @@ + + + + + + + + +Arm NN: src/armnn/layers/DepthwiseConvolution2dLayer.hpp Source File + + + + + + + + + + + + + + + + +
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DepthwiseConvolution2dLayer.hpp
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+Go to the documentation of this file.
1 //
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2 // Copyright © 2017,2022 Arm Ltd and Contributors. All rights reserved.
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3 // SPDX-License-Identifier: MIT
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4 //
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5 #pragma once
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6 
+
7 #include "LayerWithParameters.hpp"
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8 
+
9 namespace armnn
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10 {
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11 
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12 class ScopedTensorHandle;
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13 
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14 /// This layer represents a depthwise convolution 2d operation.
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15 class DepthwiseConvolution2dLayer : public LayerWithParameters<DepthwiseConvolution2dDescriptor>
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16 {
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17 public:
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18 
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19  /// Makes a workload for the DepthwiseConvolution2d type.
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20  /// @param [in] graph The graph where this layer can be found.
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21  /// @param [in] factory The workload factory which will create the workload.
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22  /// @return A pointer to the created workload, or nullptr if not created.
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23  virtual std::unique_ptr<IWorkload> CreateWorkload(const IWorkloadFactory& factory) const override;
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24 
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25  /// Creates a dynamically-allocated copy of this layer.
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26  /// @param [in] graph The graph into which this layer is being cloned.
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27  DepthwiseConvolution2dLayer* Clone(Graph& graph) const override;
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28 
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29  /// Check if the input tensor shape(s)
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30  /// will lead to a valid configuration of @ref DepthwiseConvolution2dLayer.
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31  /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.
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32  void ValidateTensorShapesFromInputs() override;
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33 
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34  /// By default returns inputShapes if the number of inputs are equal to number of outputs,
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35  /// otherwise infers the output shapes from given input shapes and layer properties.
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36  /// @param [in] inputShapes The input shapes layer has.
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37  /// @return A vector to the inferred output shape.
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38  std::vector<TensorShape> InferOutputShapes(const std::vector<TensorShape>& inputShapes) const override;
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39 
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40  void ExecuteStrategy(IStrategy& strategy) const override;
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41 
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42  void SerializeLayerParameters(ParameterStringifyFunction& fn) const override;
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43 
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44  /// This layer does not have any data stored, weights and bias are now stored in constant layers.
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45  /// We do not want to release the data in the constant layer, that is why we override with an empty function.
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46  void ReleaseConstantData() override {}
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47 
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48 protected:
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49  /// Constructor to create a DepthwiseConvolution2dLayer.
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50  /// @param [in] param DepthwiseConvolution2dDescriptor to configure the depthwise convolution2d.
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51  /// @param [in] name Optional name for the layer.
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52  DepthwiseConvolution2dLayer(const DepthwiseConvolution2dDescriptor& param, const char* name);
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53 
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54  /// Default destructor
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55  ~DepthwiseConvolution2dLayer() = default;
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56 
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57  /// Retrieve the handles to the constant values connected to the layer.
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58  /// @return A vector of the constant tensors connected to the layer.
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59  ImmutableConstantTensors GetConstantTensorsByRef() const override;
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60 };
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61 
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62 } // namespace
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armnn::DepthwiseConvolution2dLayer::~DepthwiseConvolution2dLayer
~DepthwiseConvolution2dLayer()=default
Default destructor.
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armnn::DepthwiseConvolution2dLayer
This layer represents a depthwise convolution 2d operation.
Definition: DepthwiseConvolution2dLayer.hpp:15
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armnn::DepthwiseConvolution2dLayer::CreateWorkload
virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override
Makes a workload for the DepthwiseConvolution2d type.
Definition: DepthwiseConvolution2dLayer.cpp:50
+ + +
armnn::IConnectableLayer::ImmutableConstantTensors
std::vector< std::reference_wrapper< const std::shared_ptr< ConstTensorHandle > >> ImmutableConstantTensors
Definition: INetwork.hpp:141
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armnn::DepthwiseConvolution2dLayer::Clone
DepthwiseConvolution2dLayer * Clone(Graph &graph) const override
Creates a dynamically-allocated copy of this layer.
Definition: DepthwiseConvolution2dLayer.cpp:58
+ +
armnn::DepthwiseConvolution2dLayer::ValidateTensorShapesFromInputs
void ValidateTensorShapesFromInputs() override
Check if the input tensor shape(s) will lead to a valid configuration of DepthwiseConvolution2dLayer.
Definition: DepthwiseConvolution2dLayer.cpp:105
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armnn::ParameterStringifyFunction
std::function< void(const std::string &name, const std::string &value)> ParameterStringifyFunction
Definition: SerializeLayerParameters.hpp:14
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armnn::DepthwiseConvolution2dLayer::GetConstantTensorsByRef
ImmutableConstantTensors GetConstantTensorsByRef() const override
Retrieve the handles to the constant values connected to the layer.
Definition: DepthwiseConvolution2dLayer.cpp:126
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armnn::DepthwiseConvolution2dLayer::ReleaseConstantData
void ReleaseConstantData() override
This layer does not have any data stored, weights and bias are now stored in constant layers.
Definition: DepthwiseConvolution2dLayer.hpp:46
+ +
armnn::DepthwiseConvolution2dLayer::ExecuteStrategy
void ExecuteStrategy(IStrategy &strategy) const override
Apply a visitor to this layer.
Definition: DepthwiseConvolution2dLayer.cpp:132
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armnn::DepthwiseConvolution2dLayer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
By default returns inputShapes if the number of inputs are equal to number of outputs,...
Definition: DepthwiseConvolution2dLayer.cpp:65
+
armnn
Copyright (c) 2021 ARM Limited and Contributors.
Definition: 01_00_quick_start.dox:6
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armnn::DepthwiseConvolution2dDescriptor
A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer.
Definition: Descriptors.hpp:659
+ +
armnn::DepthwiseConvolution2dLayer::SerializeLayerParameters
void SerializeLayerParameters(ParameterStringifyFunction &fn) const override
Helper to serialize the layer parameters to string.
Definition: DepthwiseConvolution2dLayer.cpp:29
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armnn::DepthwiseConvolution2dLayer::DepthwiseConvolution2dLayer
DepthwiseConvolution2dLayer(const DepthwiseConvolution2dDescriptor &param, const char *name)
Constructor to create a DepthwiseConvolution2dLayer.
Definition: DepthwiseConvolution2dLayer.cpp:23
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