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<title>ArmNN: DepthwiseConvolution2dQueueDescriptor Struct Reference</title>
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<div class="title">DepthwiseConvolution2dQueueDescriptor Struct Reference</div> </div>
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<p><code>#include <<a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>></code></p>
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Inheritance diagram for DepthwiseConvolution2dQueueDescriptor:</div>
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<img src="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.png" usemap="#DepthwiseConvolution2dQueueDescriptor_map" alt=""/>
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<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:ab9e53258c253442b468f1c94037bada3"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml#ab9e53258c253442b468f1c94037bada3">DepthwiseConvolution2dQueueDescriptor</a> ()</td></tr>
<tr class="separator:ab9e53258c253442b468f1c94037bada3"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a041e495449e22774a34d92b0904c10bf"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml#a041e495449e22774a34d92b0904c10bf">Validate</a> (const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &workloadInfo) const</td></tr>
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<tr class="inherit_header pub_methods_structarmnn_1_1_queue_descriptor"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_structarmnn_1_1_queue_descriptor')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a></td></tr>
<tr class="memitem:a765d2cee4ccce5b9467e0c2b6d25b84a inherit pub_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a> (const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</td></tr>
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<tr class="memitem:a0428f0a7927f8c29264d9c9a287840da inherit pub_methods_structarmnn_1_1_queue_descriptor"><td class="memTemplParams" colspan="2">template<typename T > </td></tr>
<tr class="memitem:a0428f0a7927f8c29264d9c9a287840da inherit pub_methods_structarmnn_1_1_queue_descriptor"><td class="memTemplItemLeft" align="right" valign="top">const T * </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#a0428f0a7927f8c29264d9c9a287840da">GetAdditionalInformation</a> () const</td></tr>
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Public Attributes</h2></td></tr>
<tr class="memitem:a3369b66d9316a773a41711e3f590c041"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml#a3369b66d9316a773a41711e3f590c041">m_Weight</a></td></tr>
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<tr class="memitem:ab3437cee6b0687812104fc1b37cbe8b3"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml#ab3437cee6b0687812104fc1b37cbe8b3">m_Bias</a></td></tr>
<tr class="separator:ab3437cee6b0687812104fc1b37cbe8b3"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="inherit_header pub_attribs_structarmnn_1_1_queue_descriptor_with_parameters"><td colspan="2" onclick="javascript:toggleInherit('pub_attribs_structarmnn_1_1_queue_descriptor_with_parameters')"><img src="closed.png" alt="-"/> Public Attributes inherited from <a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml">QueueDescriptorWithParameters< DepthwiseConvolution2dDescriptor ></a></td></tr>
<tr class="memitem:aad91b9bbf7aa365d304febe79a3d1333 inherit pub_attribs_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml">DepthwiseConvolution2dDescriptor</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a></td></tr>
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<tr class="inherit_header pub_attribs_structarmnn_1_1_queue_descriptor"><td colspan="2" onclick="javascript:toggleInherit('pub_attribs_structarmnn_1_1_queue_descriptor')"><img src="closed.png" alt="-"/> Public Attributes inherited from <a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a></td></tr>
<tr class="memitem:a4b50e46a6810018f3edecfb68b2a76b3 inherit pub_attribs_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> * > </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a></td></tr>
<tr class="separator:a4b50e46a6810018f3edecfb68b2a76b3 inherit pub_attribs_structarmnn_1_1_queue_descriptor"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a6abd491bb99ffe88bd472c1ae5a1ed1a inherit pub_attribs_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a> * > </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a></td></tr>
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<tr class="memitem:a2f2e6134cabedfc58aa53fe38a2b8a67 inherit pub_attribs_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">void * </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#a2f2e6134cabedfc58aa53fe38a2b8a67">m_AdditionalInfoObject</a></td></tr>
<tr class="separator:a2f2e6134cabedfc58aa53fe38a2b8a67 inherit pub_attribs_structarmnn_1_1_queue_descriptor"><td class="memSeparator" colspan="2"> </td></tr>
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Additional Inherited Members</h2></td></tr>
<tr class="inherit_header pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_structarmnn_1_1_queue_descriptor_with_parameters')"><img src="closed.png" alt="-"/> Protected Member Functions inherited from <a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml">QueueDescriptorWithParameters< DepthwiseConvolution2dDescriptor ></a></td></tr>
<tr class="memitem:a52679b441422256016dc6f5b5e9193d5 inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#a52679b441422256016dc6f5b5e9193d5">~QueueDescriptorWithParameters</a> ()=default</td></tr>
<tr class="separator:a52679b441422256016dc6f5b5e9193d5 inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a6f269eb32757efa5b203091c52e985fd inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#a6f269eb32757efa5b203091c52e985fd">QueueDescriptorWithParameters</a> ()=default</td></tr>
<tr class="separator:a6f269eb32757efa5b203091c52e985fd inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a6cbdcaa9cab857077a3810788e2cf489 inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#a6cbdcaa9cab857077a3810788e2cf489">QueueDescriptorWithParameters</a> (<a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml">QueueDescriptorWithParameters</a> const &)=default</td></tr>
<tr class="separator:a6cbdcaa9cab857077a3810788e2cf489 inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:aa86bd03df9faf133a34e263f16486707 inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml">QueueDescriptorWithParameters</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aa86bd03df9faf133a34e263f16486707">operator=</a> (<a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml">QueueDescriptorWithParameters</a> const &)=default</td></tr>
<tr class="separator:aa86bd03df9faf133a34e263f16486707 inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="inherit_header pro_methods_structarmnn_1_1_queue_descriptor"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_structarmnn_1_1_queue_descriptor')"><img src="closed.png" alt="-"/> Protected Member Functions inherited from <a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a></td></tr>
<tr class="memitem:af67c3785421c91d37fb22132d441f704 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#af67c3785421c91d37fb22132d441f704">~QueueDescriptor</a> ()=default</td></tr>
<tr class="separator:af67c3785421c91d37fb22132d441f704 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ab088ef357662bcea45cbd49674ad0ff7 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#ab088ef357662bcea45cbd49674ad0ff7">QueueDescriptor</a> ()</td></tr>
<tr class="separator:ab088ef357662bcea45cbd49674ad0ff7 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a75d3b85e1e50b1dff74ee84a593d089e inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#a75d3b85e1e50b1dff74ee84a593d089e">QueueDescriptor</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> const &)=default</td></tr>
<tr class="separator:a75d3b85e1e50b1dff74ee84a593d089e inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a1c928b975a0de05cf2536c721ba6b521 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml#a1c928b975a0de05cf2536c721ba6b521">operator=</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> const &)=default</td></tr>
<tr class="separator:a1c928b975a0de05cf2536c721ba6b521 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memSeparator" colspan="2"> </td></tr>
</table>
<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock">
<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00207">207</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
</div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
<a id="ab9e53258c253442b468f1c94037bada3"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ab9e53258c253442b468f1c94037bada3">◆ </a></span>DepthwiseConvolution2dQueueDescriptor()</h2>
<div class="memitem">
<div class="memproto">
<table class="mlabels">
<tr>
<td class="mlabels-left">
<table class="memname">
<tr>
<td class="memname"><a class="el" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml">DepthwiseConvolution2dQueueDescriptor</a> </td>
<td>(</td>
<td class="paramname"></td><td>)</td>
<td></td>
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<td class="mlabels-right">
<span class="mlabels"><span class="mlabel">inline</span></span> </td>
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<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00209">209</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  : <a class="code" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml#a3369b66d9316a773a41711e3f590c041">m_Weight</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  , <a class="code" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml#ab3437cee6b0687812104fc1b37cbe8b3">m_Bias</a>(<span class="keyword">nullptr</span>)</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  {</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  }</div><div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_queue_descriptor_xhtml_ab3437cee6b0687812104fc1b37cbe8b3"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml#ab3437cee6b0687812104fc1b37cbe8b3">armnn::DepthwiseConvolution2dQueueDescriptor::m_Bias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Bias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00216">WorkloadData.hpp:216</a></div></div>
<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_queue_descriptor_xhtml_a3369b66d9316a773a41711e3f590c041"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml#a3369b66d9316a773a41711e3f590c041">armnn::DepthwiseConvolution2dQueueDescriptor::m_Weight</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Weight</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00215">WorkloadData.hpp:215</a></div></div>
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<h2 class="groupheader">Member Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a041e495449e22774a34d92b0904c10bf">◆ </a></span>Validate()</h2>
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<td class="memname">void Validate </td>
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<td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td>
<td class="paramname"><em>workloadInfo</em></td><td>)</td>
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<p class="definition">Definition at line <a class="el" href="_workload_data_8cpp_source.xhtml#l01305">1305</a> of file <a class="el" href="_workload_data_8cpp_source.xhtml">WorkloadData.cpp</a>.</p>
<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l00025">armnn::GetBiasDataType()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00194">TensorInfo::GetDataType()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00187">TensorInfo::GetShape()</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00018">WorkloadInfo::m_InputTensorInfos</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00019">WorkloadInfo::m_OutputTensorInfos</a>, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="_optional_8hpp_source.xhtml#l00146">OptionalReferenceSwitch< std::is_reference< T >::value, T >::value()</a>.</p>
<div class="fragment"><div class="line"><a name="l01306"></a><span class="lineno"> 1306</span> {</div><div class="line"><a name="l01307"></a><span class="lineno"> 1307</span>  <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">"DepthwiseConvolution2dQueueDescriptor"</span>};</div><div class="line"><a name="l01308"></a><span class="lineno"> 1308</span> </div><div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>  ValidateNumInputs(workloadInfo, descriptorName, 1);</div><div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>  ValidateNumOutputs(workloadInfo, descriptorName, 1);</div><div class="line"><a name="l01311"></a><span class="lineno"> 1311</span> </div><div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div><div class="line"><a name="l01313"></a><span class="lineno"> 1313</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div><div class="line"><a name="l01314"></a><span class="lineno"> 1314</span> </div><div class="line"><a name="l01315"></a><span class="lineno"> 1315</span>  ValidateTensorNumDimensions(inputTensorInfo, descriptorName, 4, <span class="stringliteral">"input"</span>);</div><div class="line"><a name="l01316"></a><span class="lineno"> 1316</span>  ValidateTensorNumDimensions(outputTensorInfo, descriptorName, 4, <span class="stringliteral">"output"</span>);</div><div class="line"><a name="l01317"></a><span class="lineno"> 1317</span> </div><div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml#a3369b66d9316a773a41711e3f590c041">m_Weight</a>, descriptorName, <span class="stringliteral">"weight"</span>);</div><div class="line"><a name="l01319"></a><span class="lineno"> 1319</span> </div><div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& weightTensorInfo = <a class="code" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml#a3369b66d9316a773a41711e3f590c041">m_Weight</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>();</div><div class="line"><a name="l01321"></a><span class="lineno"> 1321</span>  ValidateTensorNumDimensions(weightTensorInfo, descriptorName, 4, <span class="stringliteral">"weight"</span>);</div><div class="line"><a name="l01322"></a><span class="lineno"> 1322</span> </div><div class="line"><a name="l01323"></a><span class="lineno"> 1323</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a> < 1 || <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a> < 1 )</div><div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>  {</div><div class="line"><a name="l01325"></a><span class="lineno"> 1325</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(</div><div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>  fmt::format(<span class="stringliteral">"{}: dilationX (provided {}) and dilationY (provided {}) "</span></div><div class="line"><a name="l01327"></a><span class="lineno"> 1327</span>  <span class="stringliteral">"cannot be smaller than 1."</span>,</div><div class="line"><a name="l01328"></a><span class="lineno"> 1328</span>  descriptorName, <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>, <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>));</div><div class="line"><a name="l01329"></a><span class="lineno"> 1329</span>  }</div><div class="line"><a name="l01330"></a><span class="lineno"> 1330</span> </div><div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> <= 0 || <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> <= 0 )</div><div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>  {</div><div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(</div><div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>  fmt::format(<span class="stringliteral">"{}: strideX (provided {}) and strideY (provided {}) "</span></div><div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>  <span class="stringliteral">"cannot be either negative or 0."</span>,</div><div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>  descriptorName, <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>, <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>));</div><div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>  }</div><div class="line"><a name="l01338"></a><span class="lineno"> 1338</span> </div><div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channelIndex = (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>) ? 1 : 3;</div><div class="line"><a name="l01340"></a><span class="lineno"> 1340</span> </div><div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>  <span class="comment">// Expected weight shape: [ M, I, H, W ] - This shape does NOT depend on the data layout</span></div><div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>  <span class="comment">// inputChannels * channelMultiplier should be equal to outputChannels.</span></div><div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numWeightChannelMultiplier = weightTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0];</div><div class="line"><a name="l01344"></a><span class="lineno"> 1344</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numWeightInputChannels = weightTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[1];</div><div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numWeightOutputChannels = outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[channelIndex];</div><div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>  <span class="keywordflow">if</span> (numWeightChannelMultiplier * numWeightInputChannels != numWeightOutputChannels)</div><div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>  {</div><div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(fmt::format(</div><div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>  <span class="stringliteral">"{0}: output_channels (provided {1}) should be equal to input_channels (provided {2}) "</span></div><div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>  <span class="stringliteral">"multiplied by channel_multiplier (provided {3})."</span>,</div><div class="line"><a name="l01351"></a><span class="lineno"> 1351</span>  descriptorName, numWeightOutputChannels, numWeightInputChannels, numWeightChannelMultiplier));</div><div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>  }</div><div class="line"><a name="l01353"></a><span class="lineno"> 1353</span> </div><div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>  ValidateWeightDataType(inputTensorInfo, weightTensorInfo, descriptorName);</div><div class="line"><a name="l01355"></a><span class="lineno"> 1355</span> </div><div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">Optional<TensorInfo></a> optionalBiasTensorInfo;</div><div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>  <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div><div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>  {</div><div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>  ValidatePointer(<a class="code" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml#ab3437cee6b0687812104fc1b37cbe8b3">m_Bias</a>, descriptorName, <span class="stringliteral">"bias"</span>);</div><div class="line"><a name="l01360"></a><span class="lineno"> 1360</span> </div><div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>  optionalBiasTensorInfo = MakeOptional<TensorInfo>(<a class="code" href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml#ab3437cee6b0687812104fc1b37cbe8b3">m_Bias</a>-><a class="code" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>());</div><div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>& biasTensorInfo = optionalBiasTensorInfo.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>();</div><div class="line"><a name="l01363"></a><span class="lineno"> 1363</span> </div><div class="line"><a name="l01364"></a><span class="lineno"> 1364</span>  ValidateBiasTensorQuantization(biasTensorInfo, inputTensorInfo, weightTensorInfo, descriptorName);</div><div class="line"><a name="l01365"></a><span class="lineno"> 1365</span>  ValidateTensorDataType(biasTensorInfo, <a class="code" href="namespacearmnn.xhtml#a872803f5667392efc3c8e5607bd453ad">GetBiasDataType</a>(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>()), descriptorName, <span class="stringliteral">"bias"</span>);</div><div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>  }</div><div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>  ValidatePerAxisQuantization(inputTensorInfo,</div><div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>  outputTensorInfo,</div><div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>  weightTensorInfo,</div><div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>  optionalBiasTensorInfo,</div><div class="line"><a name="l01371"></a><span class="lineno"> 1371</span>  descriptorName);</div><div class="line"><a name="l01372"></a><span class="lineno"> 1372</span> </div><div class="line"><a name="l01373"></a><span class="lineno"> 1373</span>  std::vector<DataType> supportedTypes =</div><div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>  {</div><div class="line"><a name="l01375"></a><span class="lineno"> 1375</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div><div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div><div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01380"></a><span class="lineno"> 1380</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>  };</div><div class="line"><a name="l01382"></a><span class="lineno"> 1382</span> </div><div class="line"><a name="l01383"></a><span class="lineno"> 1383</span>  ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div><div class="line"><a name="l01384"></a><span class="lineno"> 1384</span>  ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">"input"</span>, <span class="stringliteral">"output"</span>);</div><div class="line"><a name="l01385"></a><span class="lineno"> 1385</span> }</div><div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aea202e14d8874cefd9a0f778022b7e25">armnn::DepthwiseConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00506">Descriptors.hpp:506</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00187">Tensor.hpp:187</a></div></div>
<div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00270">Optional.hpp:270</a></div></div>
<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::DepthwiseConvolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00508">Descriptors.hpp:508</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_queue_descriptor_xhtml_ab3437cee6b0687812104fc1b37cbe8b3"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml#ab3437cee6b0687812104fc1b37cbe8b3">armnn::DepthwiseConvolution2dQueueDescriptor::m_Bias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Bias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00216">WorkloadData.hpp:216</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
<div class="ttc" id="classarmnn_1_1_optional_reference_switch_xhtml_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch< std::is_reference< T >::value, T >::value</a></div><div class="ttdeci">const T & value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00146">Optional.hpp:146</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters< DepthwiseConvolution2dDescriptor >::m_Parameters</a></div><div class="ttdeci">DepthwiseConvolution2dDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00057">WorkloadData.hpp:57</a></div></div>
<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#a302b688d88dd73cde0fb1faef6679907">armnn::DepthwiseConvolution2dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation factor value for height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00504">Descriptors.hpp:504</a></div></div>
<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_queue_descriptor_xhtml_a3369b66d9316a773a41711e3f590c041"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_queue_descriptor.xhtml#a3369b66d9316a773a41711e3f590c041">armnn::DepthwiseConvolution2dQueueDescriptor::m_Weight</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Weight</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00215">WorkloadData.hpp:215</a></div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_xhtml_ac97905bfa0daab357b91df1347600309"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml#ac97905bfa0daab357b91df1347600309">armnn::WorkloadInfo::m_InputTensorInfos</a></div><div class="ttdeci">std::vector< TensorInfo > m_InputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00018">WorkloadInfo.hpp:18</a></div></div>
<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::DepthwiseConvolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00498">Descriptors.hpp:498</a></div></div>
<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::DepthwiseConvolution2dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation factor value for width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00502">Descriptors.hpp:502</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00194">Tensor.hpp:194</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_xhtml_a67b178f8a836bc1e52b8de109760adfd"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml#a67b178f8a836bc1e52b8de109760adfd">armnn::WorkloadInfo::m_OutputTensorInfos</a></div><div class="ttdeci">std::vector< TensorInfo > m_OutputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00019">WorkloadInfo.hpp:19</a></div></div>
<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a872803f5667392efc3c8e5607bd453ad"><div class="ttname"><a href="namespacearmnn.xhtml#a872803f5667392efc3c8e5607bd453ad">armnn::GetBiasDataType</a></div><div class="ttdeci">DataType GetBiasDataType(DataType inputDataType)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.xhtml#l00025">WorkloadData.cpp:25</a></div></div>
<div class="ttc" id="structarmnn_1_1_depthwise_convolution2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::DepthwiseConvolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00500">Descriptors.hpp:500</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_cpu_tensor_handle_xhtml_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_const_cpu_tensor_handle.xhtml#a66e8f43a5b42b500871ed96e15419567">armnn::ConstCpuTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.xhtml#l00037">CpuTensorHandle.hpp:37</a></div></div>
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<h2 class="groupheader">Member Data Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#ab3437cee6b0687812104fc1b37cbe8b3">◆ </a></span>m_Bias</h2>
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<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_Bias</td>
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<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00216">216</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l02936">CompareDepthwiseConvolution2dTestImpl()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00051">DepthwiseConvolution2dLayer::CreateWorkload()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01627">DepthwiseConvolution2dAsymmetricTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01765">DepthwiseConvolution2dDepthMul1TestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01919">DepthwiseConvolution2dTestImpl()</a>, and <a class="el" href="_ref_depthwise_convolution2d_workload_8cpp_source.xhtml#l00018">RefDepthwiseConvolution2dWorkload::RefDepthwiseConvolution2dWorkload()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#a3369b66d9316a773a41711e3f590c041">◆ </a></span>m_Weight</h2>
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<td class="memname">const <a class="el" href="classarmnn_1_1_const_cpu_tensor_handle.xhtml">ConstCpuTensorHandle</a>* m_Weight</td>
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<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.xhtml#l00215">215</a> of file <a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_cl_depthwise_convolution_workload_8cpp_source.xhtml#l00076">ClDepthwiseConvolutionWorkload::ClDepthwiseConvolutionWorkload()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l02936">CompareDepthwiseConvolution2dTestImpl()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00051">DepthwiseConvolution2dLayer::CreateWorkload()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01627">DepthwiseConvolution2dAsymmetricTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01765">DepthwiseConvolution2dDepthMul1TestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01919">DepthwiseConvolution2dTestImpl()</a>, <a class="el" href="_neon_depthwise_convolution_workload_8cpp_source.xhtml#l00077">NeonDepthwiseConvolutionWorkload::NeonDepthwiseConvolutionWorkload()</a>, and <a class="el" href="_ref_depthwise_convolution2d_workload_8cpp_source.xhtml#l00018">RefDepthwiseConvolution2dWorkload::RefDepthwiseConvolution2dWorkload()</a>.</p>
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<hr/>The documentation for this struct was generated from the following files:<ul>
<li>src/backends/backendsCommon/<a class="el" href="_workload_data_8hpp_source.xhtml">WorkloadData.hpp</a></li>
<li>src/backends/backendsCommon/<a class="el" href="_workload_data_8cpp_source.xhtml">WorkloadData.cpp</a></li>
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