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<div class="title">Convolution2dLayer.hpp</div> </div>
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<a href="_convolution2d_layer_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017,2022 Arm Ltd and Contributors. All rights reserved.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#pragma once</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>  </div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_layer_with_parameters_8hpp.html">LayerWithParameters.hpp</a>"</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>  </div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> {</div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>  </div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">class </span>ScopedTensorHandle;</div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"></span> </div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment">/// This layer represents a convolution 2d operation.</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"><a class="line" href="classarmnn_1_1_convolution2d_layer.html"> 15</a></span> <span class="comment"></span><span class="keyword">class </span><a class="code" href="classarmnn_1_1_convolution2d_layer.html">Convolution2dLayer</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_layer_with_parameters.html">LayerWithParameters</a><Convolution2dDescriptor></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"></span> </div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> /// Makes a workload for the Convolution2d type.</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> /// @param [in] graph The graph where this layer can be found.</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> /// @param [in] factory The workload factory which will create the workload.</span></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> /// @return A pointer to the created workload, or nullptr if not created.</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"></span> <span class="keyword">virtual</span> std::unique_ptr<IWorkload> <a class="code" href="classarmnn_1_1_convolution2d_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a>& factory) <span class="keyword">const override</span>;</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment"></span> </div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment"> /// Creates a dynamically-allocated copy of this layer.</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment"> /// @param [in] graph The graph into which this layer is being cloned.</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_convolution2d_layer.html">Convolution2dLayer</a>* <a class="code" href="classarmnn_1_1_convolution2d_layer.html#acf7bec8b795447d4b23e0339a6561044">Clone</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>& graph) <span class="keyword">const override</span>;</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment"></span> </div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment"> /// Check if the input tensor shape(s)</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment"> /// will lead to a valid configuration of @ref Convolution2dLayer.</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment"> /// @param [in] shapeInferenceMethod Indicates if output shape shall be overwritten or just validated.</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_convolution2d_layer.html#a8c8f543d7e9729362c266d12ec169966">ValidateTensorShapesFromInputs</a>() <span class="keyword">override</span>;</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"></span> </div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"> /// By default returns inputShapes if the number of inputs are equal to number of outputs,</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment"> /// otherwise infers the output shapes from given input shapes and layer properties.</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"> /// @param [in] inputShapes The input shapes layer has.</span></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment"> /// @return A vector to the inferred output shape.</span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"></span> std::vector<TensorShape> <a class="code" href="classarmnn_1_1_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(<span class="keyword">const</span> std::vector<TensorShape>& inputShapes) <span class="keyword">const override</span>;</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  </div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_convolution2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>& strategy) <span class="keyword">const override</span>;</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  </div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_convolution2d_layer.html#a2ca654770a1890f15e3c7aab98e434a5">SerializeLayerParameters</a>(<a class="code" href="namespacearmnn.html#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a>& fn) <span class="keyword">const override</span>;</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment"></span> </div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"> /// This layer does not have any data stored, weights and bias are now stored in constant layers.</span></div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"> /// We do not want to release the data in the constant layer, that is why we override with an empty function.</span></div>
<div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="classarmnn_1_1_convolution2d_layer.html#a49a08bdbd40e6913a9a3e1418aa1f43a"> 46</a></span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_convolution2d_layer.html#a49a08bdbd40e6913a9a3e1418aa1f43a">ReleaseConstantData</a>()<span class="keyword"> override </span>{}</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  </div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="keyword">protected</span>:<span class="comment"></span></div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"> /// Constructor to create a Convolution2dLayer.</span></div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> /// @param [in] param Convolution2dDescriptor to configure the convolution2d operation.</span></div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> /// @param [in] name Optional name for the layer.</span></div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_convolution2d_layer.html#ad026ad183e8c182f60d22a6cc39ae873">Convolution2dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_descriptor.html">Convolution2dDescriptor</a>& param, <span class="keyword">const</span> <span class="keywordtype">char</span>* name);</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"></span> </div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> /// Default destructor</span></div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_convolution2d_layer.html#af83688dfd5460d2f705f1ab60b8a216f">~Convolution2dLayer</a>() = <span class="keywordflow">default</span>;</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"></span> </div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> /// Retrieve the handles to the constant values connected to the layer.</span></div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> /// @return A vector of the constant tensors connected to the layer.</span></div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">ImmutableConstantTensors</a> <a class="code" href="classarmnn_1_1_convolution2d_layer.html#a29cc31172f6ab16ac931f90c667c092d">GetConstantTensorsByRef</a>() <span class="keyword">const override</span>;</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> };</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  </div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> } <span class="comment">// namespace</span></div>
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<div class="ttc" id="aclassarmnn_1_1_convolution2d_layer_html_a2ca654770a1890f15e3c7aab98e434a5"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.html#a2ca654770a1890f15e3c7aab98e434a5">armnn::Convolution2dLayer::SerializeLayerParameters</a></div><div class="ttdeci">void SerializeLayerParameters(ParameterStringifyFunction &fn) const override</div><div class="ttdoc">Helper to serialize the layer parameters to string.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution2d_layer_8cpp_source.html#l00029">Convolution2dLayer.cpp:29</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_convolution2d_layer_html_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.html#a8c8f543d7e9729362c266d12ec169966">armnn::Convolution2dLayer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">void ValidateTensorShapesFromInputs() override</div><div class="ttdoc">Check if the input tensor shape(s) will lead to a valid configuration of Convolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution2d_layer_8cpp_source.html#l00102">Convolution2dLayer.cpp:102</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_strategy_html"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.html#l00016">IStrategy.hpp:16</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html">armnn::LayerWithParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00014">LayerWithParameters.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_convolution2d_layer_html"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.html">armnn::Convolution2dLayer</a></div><div class="ttdoc">This layer represents a convolution 2d operation.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution2d_layer_8hpp_source.html#l00015">Convolution2dLayer.hpp:15</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_aba5c20cadbebd2e7ba67e20a47e31472"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">armnn::IConnectableLayer::ImmutableConstantTensors</a></div><div class="ttdeci">std::vector< std::reference_wrapper< const std::shared_ptr< ConstTensorHandle > >> ImmutableConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00141">INetwork.hpp:141</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_convolution2d_layer_html_af83688dfd5460d2f705f1ab60b8a216f"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.html#af83688dfd5460d2f705f1ab60b8a216f">armnn::Convolution2dLayer::~Convolution2dLayer</a></div><div class="ttdeci">~Convolution2dLayer()=default</div><div class="ttdoc">Default destructor.</div></div>
<div class="ttc" id="aclassarmnn_1_1_convolution2d_layer_html_a49a08bdbd40e6913a9a3e1418aa1f43a"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.html#a49a08bdbd40e6913a9a3e1418aa1f43a">armnn::Convolution2dLayer::ReleaseConstantData</a></div><div class="ttdeci">void ReleaseConstantData() override</div><div class="ttdoc">This layer does not have any data stored, weights and bias are now stored in constant layers.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution2d_layer_8hpp_source.html#l00046">Convolution2dLayer.hpp:46</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_convolution2d_layer_html_a29cc31172f6ab16ac931f90c667c092d"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.html#a29cc31172f6ab16ac931f90c667c092d">armnn::Convolution2dLayer::GetConstantTensorsByRef</a></div><div class="ttdeci">ImmutableConstantTensors GetConstantTensorsByRef() const override</div><div class="ttdoc">Retrieve the handles to the constant values connected to the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution2d_layer_8cpp_source.html#l00122">Convolution2dLayer.cpp:122</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.html#l00022">WorkloadFactory.hpp:22</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a8c42c6647e31ebe525aeba878d133e45"><div class="ttname"><a href="namespacearmnn.html#a8c42c6647e31ebe525aeba878d133e45">armnn::ParameterStringifyFunction</a></div><div class="ttdeci">std::function< void(const std::string &name, const std::string &value)> ParameterStringifyFunction</div><div class="ttdef"><b>Definition:</b> <a href="_serialize_layer_parameters_8hpp_source.html#l00014">SerializeLayerParameters.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_convolution2d_layer_html_ad026ad183e8c182f60d22a6cc39ae873"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.html#ad026ad183e8c182f60d22a6cc39ae873">armnn::Convolution2dLayer::Convolution2dLayer</a></div><div class="ttdeci">Convolution2dLayer(const Convolution2dDescriptor &param, const char *name)</div><div class="ttdoc">Constructor to create a Convolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution2d_layer_8cpp_source.html#l00023">Convolution2dLayer.cpp:23</a></div></div>
<div class="ttc" id="a_layer_with_parameters_8hpp_html"><div class="ttname"><a href="_layer_with_parameters_8hpp.html">LayerWithParameters.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00534">Descriptors.hpp:534</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_convolution2d_layer_html_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::Convolution2dLayer::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override</div><div class="ttdoc">Makes a workload for the Convolution2d type.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution2d_layer_8cpp_source.html#l00049">Convolution2dLayer.cpp:49</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_convolution2d_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">armnn::Convolution2dLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdoc">By default returns inputShapes if the number of inputs are equal to number of outputs,...</div><div class="ttdef"><b>Definition:</b> <a href="_convolution2d_layer_8cpp_source.html#l00064">Convolution2dLayer.cpp:64</a></div></div>
<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_convolution2d_layer_html_acf7bec8b795447d4b23e0339a6561044"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.html#acf7bec8b795447d4b23e0339a6561044">armnn::Convolution2dLayer::Clone</a></div><div class="ttdeci">Convolution2dLayer * Clone(Graph &graph) const override</div><div class="ttdoc">Creates a dynamically-allocated copy of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution2d_layer_8cpp_source.html#l00058">Convolution2dLayer.cpp:58</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_html"><div class="ttname"><a href="classarmnn_1_1_graph.html">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00030">Graph.hpp:30</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_convolution2d_layer_html_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::Convolution2dLayer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const override</div><div class="ttdoc">Apply a visitor to this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution2d_layer_8cpp_source.html#l00128">Convolution2dLayer.cpp:128</a></div></div>
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