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<div class="title">DepthwiseConvolution2dLayer.hpp</div> </div>
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<a href="_depthwise_convolution2d_layer_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;</div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_layer_with_parameters_8hpp.xhtml">LayerWithParameters.hpp</a>&quot;</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;</div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;{</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="keyword">class </span>ScopedCpuTensorHandle;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment">/// This layer represents a depthwise convolution 2d operation.</span></div><div class="line"><a name="l00015"></a><span class="lineno"><a class="line" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml"> 15</a></span>&#160;<span class="comment"></span><span class="keyword">class </span><a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml">DepthwiseConvolution2dLayer</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml">LayerWithParameters</a>&lt;DepthwiseConvolution2dDescriptor&gt;</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;{</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="comment"> /// A unique pointer to store Weight values.</span></div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a2664044e28e69309ea08ef385fe53903"> 19</a></span>&#160;<span class="comment"></span> std::unique_ptr&lt;ScopedCpuTensorHandle&gt; <a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a2664044e28e69309ea08ef385fe53903">m_Weight</a>;<span class="comment"></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"> /// A unique pointer to store Bias values.</span></div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a39925bc24d3afcfb322a46a5884fadb9"> 21</a></span>&#160;<span class="comment"></span> std::unique_ptr&lt;ScopedCpuTensorHandle&gt; <a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a39925bc24d3afcfb322a46a5884fadb9">m_Bias</a>;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> /// Makes a workload for the DepthwiseConvolution2d type.</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="comment"> /// @param [in] graph The graph where this layer can be found.</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="comment"> /// @param [in] factory The workload factory which will create the workload.</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="comment"> /// @return A pointer to the created workload, or nullptr if not created.</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="comment"></span> <span class="keyword">virtual</span> std::unique_ptr&lt;IWorkload&gt; <a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a>&amp; factory) <span class="keyword">const override</span>;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="comment"> /// Creates a dynamically-allocated copy of this layer.</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="comment"> /// @param [in] graph The graph into which this layer is being cloned.</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="comment"></span> <a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml">DepthwiseConvolution2dLayer</a>* <a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a6f56b4ee567a69e7daf2e9bd3053646c">Clone</a>(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>&amp; graph) <span class="keyword">const override</span>;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="comment"> /// Check if the input tensor shape(s)</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="comment"> /// will lead to a valid configuration of @ref DepthwiseConvolution2dLayer.</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">ValidateTensorShapesFromInputs</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;<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="l00038"></a><span class="lineno"> 38</span>&#160;<span class="comment"> /// otherwise infers the output shapes from given input shapes and layer properties.</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="comment"> /// @param [in] inputShapes The input shapes layer has.</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="comment"> /// @return A vector to the inferred output shape.</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="comment"></span> std::vector&lt;TensorShape&gt; <a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>(<span class="keyword">const</span> std::vector&lt;TensorShape&gt;&amp; inputShapes) <span class="keyword">const override</span>;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">Accept</a>(<a class="code" href="classarmnn_1_1_i_layer_visitor.xhtml">ILayerVisitor</a>&amp; visitor) <span class="keyword">const override</span>;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a2ca654770a1890f15e3c7aab98e434a5">SerializeLayerParameters</a>(<a class="code" href="namespacearmnn.xhtml#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a>&amp; fn) <span class="keyword">const override</span>;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;<span class="keyword">protected</span>:<span class="comment"></span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;<span class="comment"> /// Constructor to create a DepthwiseConvolution2dLayer.</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;<span class="comment"> /// @param [in] param DepthwiseConvolution2dDescriptor to configure the depthwise convolution2d.</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;<span class="comment"> /// @param [in] name Optional name for the layer.</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<span class="comment"></span> <a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#ae7927aab32dbcb1b0a6fb5e43bcd4419">DepthwiseConvolution2dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a>&amp; param, <span class="keyword">const</span> <span class="keywordtype">char</span>* name);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;<span class="comment"> /// Default destructor</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;<span class="comment"></span> <a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#aa083660358ea15446f823a38c1533698">~DepthwiseConvolution2dLayer</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;<span class="comment"> /// Retrieve the handles to the constant values stored by the layer.</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;<span class="comment"> /// @return A vector of the constant tensors stored by this layer.</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<span class="comment"></span> <a class="code" href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">ConstantTensors</a> <a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">GetConstantTensorsByRef</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;};</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;} <span class="comment">// namespace</span></div><div class="ttc" id="classarmnn_1_1_depthwise_convolution2d_layer_xhtml_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a65ca562c882ad619684445a1402f415a">armnn::DepthwiseConvolution2dLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector&lt; TensorShape &gt; InferOutputShapes(const std::vector&lt; TensorShape &gt; &amp;inputShapes) const override</div><div class="ttdoc">By default returns inputShapes if the number of inputs are equal to number of outputs, otherwise infers the output shapes from given input shapes and layer properties. </div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00082">DepthwiseConvolution2dLayer.cpp:82</a></div></div>
<div class="ttc" id="_layer_with_parameters_8hpp_xhtml"><div class="ttname"><a href="_layer_with_parameters_8hpp.xhtml">LayerWithParameters.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_depthwise_convolution2d_layer_xhtml_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::DepthwiseConvolution2dLayer::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateWorkload(const IWorkloadFactory &amp;factory) const override</div><div class="ttdoc">Makes a workload for the DepthwiseConvolution2d type. </div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00051">DepthwiseConvolution2dLayer.cpp:51</a></div></div>
<div class="ttc" id="classarmnn_1_1_depthwise_convolution2d_layer_xhtml_a6f56b4ee567a69e7daf2e9bd3053646c"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a6f56b4ee567a69e7daf2e9bd3053646c">armnn::DepthwiseConvolution2dLayer::Clone</a></div><div class="ttdeci">DepthwiseConvolution2dLayer * Clone(Graph &amp;graph) const override</div><div class="ttdoc">Creates a dynamically-allocated copy of this layer. </div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00068">DepthwiseConvolution2dLayer.cpp:68</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00021">WorkloadFactory.hpp:21</a></div></div>
<div class="ttc" id="classarmnn_1_1_depthwise_convolution2d_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml">armnn::DepthwiseConvolution2dLayer</a></div><div class="ttdoc">This layer represents a depthwise convolution 2d operation. </div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8hpp_source.xhtml#l00015">DepthwiseConvolution2dLayer.hpp:15</a></div></div>
<div class="ttc" id="classarmnn_1_1_depthwise_convolution2d_layer_xhtml_a39925bc24d3afcfb322a46a5884fadb9"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a39925bc24d3afcfb322a46a5884fadb9">armnn::DepthwiseConvolution2dLayer::m_Bias</a></div><div class="ttdeci">std::unique_ptr&lt; ScopedCpuTensorHandle &gt; m_Bias</div><div class="ttdoc">A unique pointer to store Bias values. </div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8hpp_source.xhtml#l00021">DepthwiseConvolution2dLayer.hpp:21</a></div></div>
<div class="ttc" id="classarmnn_1_1_depthwise_convolution2d_layer_xhtml_abe659a5afa7523f5dbc04bcba9b31f1a"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">armnn::DepthwiseConvolution2dLayer::GetConstantTensorsByRef</a></div><div class="ttdeci">ConstantTensors GetConstantTensorsByRef() override</div><div class="ttdoc">Retrieve the handles to the constant values stored by the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00142">DepthwiseConvolution2dLayer.cpp:142</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
<div class="ttc" id="classarmnn_1_1_depthwise_convolution2d_layer_xhtml_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">armnn::DepthwiseConvolution2dLayer::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 DepthwiseConvolution2dLayer...</div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00122">DepthwiseConvolution2dLayer.cpp:122</a></div></div>
<div class="ttc" id="classarmnn_1_1_depthwise_convolution2d_layer_xhtml_a2ca654770a1890f15e3c7aab98e434a5"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a2ca654770a1890f15e3c7aab98e434a5">armnn::DepthwiseConvolution2dLayer::SerializeLayerParameters</a></div><div class="ttdeci">void SerializeLayerParameters(ParameterStringifyFunction &amp;fn) const override</div><div class="ttdoc">Helper to serialize the layer parameters to string. </div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00029">DepthwiseConvolution2dLayer.cpp:29</a></div></div>
<div class="ttc" id="classarmnn_1_1_depthwise_convolution2d_layer_xhtml_ae7927aab32dbcb1b0a6fb5e43bcd4419"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#ae7927aab32dbcb1b0a6fb5e43bcd4419">armnn::DepthwiseConvolution2dLayer::DepthwiseConvolution2dLayer</a></div><div class="ttdeci">DepthwiseConvolution2dLayer(const DepthwiseConvolution2dDescriptor &amp;param, const char *name)</div><div class="ttdoc">Constructor to create a DepthwiseConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00023">DepthwiseConvolution2dLayer.cpp:23</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00029">Graph.hpp:29</a></div></div>
<div class="ttc" id="classarmnn_1_1_depthwise_convolution2d_layer_xhtml_aa083660358ea15446f823a38c1533698"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#aa083660358ea15446f823a38c1533698">armnn::DepthwiseConvolution2dLayer::~DepthwiseConvolution2dLayer</a></div><div class="ttdeci">~DepthwiseConvolution2dLayer()=default</div><div class="ttdoc">Default destructor. </div></div>
<div class="ttc" id="classarmnn_1_1_depthwise_convolution2d_layer_xhtml_a75a50f464326fefa605ea84ae2c9be85"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">armnn::DepthwiseConvolution2dLayer::Accept</a></div><div class="ttdeci">void Accept(ILayerVisitor &amp;visitor) const override</div><div class="ttdoc">Apply a visitor to this layer. </div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00147">DepthwiseConvolution2dLayer.cpp:147</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_layer_visitor_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_layer_visitor.xhtml">armnn::ILayerVisitor</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_visitor_8hpp_source.xhtml#l00016">ILayerVisitor.hpp:16</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_with_parameters_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml">armnn::LayerWithParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00013">LayerWithParameters.hpp:13</a></div></div>
<div class="ttc" id="classarmnn_1_1_depthwise_convolution2d_layer_xhtml_a2664044e28e69309ea08ef385fe53903"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a2664044e28e69309ea08ef385fe53903">armnn::DepthwiseConvolution2dLayer::m_Weight</a></div><div class="ttdeci">std::unique_ptr&lt; ScopedCpuTensorHandle &gt; m_Weight</div><div class="ttdoc">A unique pointer to store Weight values. </div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8hpp_source.xhtml#l00019">DepthwiseConvolution2dLayer.hpp:19</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a8c42c6647e31ebe525aeba878d133e45"><div class="ttname"><a href="namespacearmnn.xhtml#a8c42c6647e31ebe525aeba878d133e45">armnn::ParameterStringifyFunction</a></div><div class="ttdeci">std::function&lt; void(const std::string &amp;name, const std::string &amp;value)&gt; ParameterStringifyFunction</div><div class="ttdef"><b>Definition:</b> <a href="_serialize_layer_parameters_8hpp_source.xhtml#l00014">SerializeLayerParameters.hpp:14</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a585d59ec610af46a76487fd6c1c55ac1"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">armnn::Layer::ConstantTensors</a></div><div class="ttdeci">std::vector&lt; std::reference_wrapper&lt; std::unique_ptr&lt; ScopedCpuTensorHandle &gt; &gt;&gt; ConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00363">Layer.hpp:363</a></div></div>
<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00444">Descriptors.hpp:444</a></div></div>
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