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84<a href="#pub-methods">Public Member Functions</a> &#124;
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86 <div class="headertitle">
87<div class="title">ResizeBilinearQueueDescriptor Struct Reference</div> </div>
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89<div class="contents">
90
91<p><code>#include &lt;<a class="el" href="_workload_data_8hpp_source.html">WorkloadData.hpp</a>&gt;</code></p>
92<div class="dynheader">
93Inheritance diagram for ResizeBilinearQueueDescriptor:</div>
94<div class="dyncontent">
95 <div class="center">
96 <img src="structarmnn_1_1_resize_bilinear_queue_descriptor.png" usemap="#ResizeBilinearQueueDescriptor_map" alt=""/>
97 <map id="ResizeBilinearQueueDescriptor_map" name="ResizeBilinearQueueDescriptor_map">
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102<table class="memberdecls">
103<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
104Public Member Functions</h2></td></tr>
105<tr class="memitem:a041e495449e22774a34d92b0904c10bf"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_resize_bilinear_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">Validate</a> (const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;workloadInfo) const</td></tr>
106<tr class="separator:a041e495449e22774a34d92b0904c10bf"><td class="memSeparator" colspan="2">&#160;</td></tr>
107<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="-"/>&#160;Public Member Functions inherited from <a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a></td></tr>
108<tr class="memitem:a765d2cee4ccce5b9467e0c2b6d25b84a inherit pub_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a> (const std::string &amp;descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</td></tr>
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110</table><table class="memberdecls">
111<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
112Additional Inherited Members</h2></td></tr>
113<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="-"/>&#160;Public Attributes inherited from <a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.html">QueueDescriptorWithParameters&lt; ResizeBilinearDescriptor &gt;</a></td></tr>
114<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_resize_bilinear_descriptor.html">ResizeBilinearDescriptor</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a></td></tr>
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116<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="-"/>&#160;Public Attributes inherited from <a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a></td></tr>
117<tr class="memitem:a4b50e46a6810018f3edecfb68b2a76b3 inherit pub_attribs_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a> * &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a></td></tr>
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119<tr class="memitem:a6abd491bb99ffe88bd472c1ae5a1ed1a inherit pub_attribs_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a> * &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a></td></tr>
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121<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="-"/>&#160;Protected Member Functions inherited from <a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.html">QueueDescriptorWithParameters&lt; ResizeBilinearDescriptor &gt;</a></td></tr>
122<tr class="memitem:a52679b441422256016dc6f5b5e9193d5 inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.html#a52679b441422256016dc6f5b5e9193d5">~QueueDescriptorWithParameters</a> ()=default</td></tr>
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124<tr class="memitem:a6f269eb32757efa5b203091c52e985fd inherit pro_methods_structarmnn_1_1_queue_descriptor_with_parameters"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.html#a6f269eb32757efa5b203091c52e985fd">QueueDescriptorWithParameters</a> ()=default</td></tr>
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128<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.html">QueueDescriptorWithParameters</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aa86bd03df9faf133a34e263f16486707">operator=</a> (<a class="el" href="structarmnn_1_1_queue_descriptor_with_parameters.html">QueueDescriptorWithParameters</a> const &amp;)=default</td></tr>
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130<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="-"/>&#160;Protected Member Functions inherited from <a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a></td></tr>
131<tr class="memitem:af67c3785421c91d37fb22132d441f704 inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.html#af67c3785421c91d37fb22132d441f704">~QueueDescriptor</a> ()=default</td></tr>
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135<tr class="memitem:a75d3b85e1e50b1dff74ee84a593d089e inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.html#a75d3b85e1e50b1dff74ee84a593d089e">QueueDescriptor</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> const &amp;)=default</td></tr>
136<tr class="separator:a75d3b85e1e50b1dff74ee84a593d089e inherit pro_methods_structarmnn_1_1_queue_descriptor"><td class="memSeparator" colspan="2">&#160;</td></tr>
137<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.html">QueueDescriptor</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_queue_descriptor.html#a1c928b975a0de05cf2536c721ba6b521">operator=</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a> const &amp;)=default</td></tr>
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139</table>
140<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
141<div class="textblock">
142<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.html#l00287">287</a> of file <a class="el" href="_workload_data_8hpp_source.html">WorkloadData.hpp</a>.</p>
143</div><h2 class="groupheader">Member Function Documentation</h2>
144<a id="a041e495449e22774a34d92b0904c10bf"></a>
145<h2 class="memtitle"><span class="permalink"><a href="#a041e495449e22774a34d92b0904c10bf">&#9670;&nbsp;</a></span>Validate()</h2>
146
147<div class="memitem">
148<div class="memproto">
149 <table class="memname">
150 <tr>
151 <td class="memname">void Validate </td>
152 <td>(</td>
153 <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;&#160;</td>
154 <td class="paramname"><em>workloadInfo</em></td><td>)</td>
155 <td> const</td>
156 </tr>
157 </table>
158</div><div class="memdoc">
159
160<p class="definition">Definition at line <a class="el" href="_workload_data_8cpp_source.html#l01327">1327</a> of file <a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a>.</p>
161
162<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_data_layout_indexed_8hpp_source.html#l00023">DataLayoutIndexed::GetChannelsIndex()</a>, <a class="el" href="_tensor_8hpp_source.html#l00088">TensorInfo::GetShape()</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00018">WorkloadInfo::m_InputTensorInfos</a>, <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00019">WorkloadInfo::m_OutputTensorInfos</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p>
163<div class="fragment"><div class="line"><a name="l01328"></a><span class="lineno"> 1328</span>&#160;{</div><div class="line"><a name="l01329"></a><span class="lineno"> 1329</span>&#160; <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">&quot;ResizeBilinearQueueDescriptor&quot;</span>};</div><div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>&#160;</div><div class="line"><a name="l01331"></a><span class="lineno"> 1331</span>&#160; ValidateNumInputs(workloadInfo, descriptorName, 1);</div><div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>&#160; ValidateNumOutputs(workloadInfo, descriptorName, 1);</div><div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>&#160;</div><div class="line"><a name="l01334"></a><span class="lineno"> 1334</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0];</div><div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputTensorInfo = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[0];</div><div class="line"><a name="l01336"></a><span class="lineno"> 1336</span>&#160;</div><div class="line"><a name="l01337"></a><span class="lineno"> 1337</span>&#160; ValidateTensorNumDimensions(inputTensorInfo, descriptorName, 4, <span class="stringliteral">&quot;input&quot;</span>);</div><div class="line"><a name="l01338"></a><span class="lineno"> 1338</span>&#160; ValidateTensorNumDimensions(outputTensorInfo, descriptorName, 4, <span class="stringliteral">&quot;output&quot;</span>);</div><div class="line"><a name="l01339"></a><span class="lineno"> 1339</span>&#160;</div><div class="line"><a name="l01340"></a><span class="lineno"> 1340</span>&#160; std::vector&lt;DataType&gt; supportedTypes =</div><div class="line"><a name="l01341"></a><span class="lineno"> 1341</span>&#160; {</div><div class="line"><a name="l01342"></a><span class="lineno"> 1342</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div><div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div><div class="line"><a name="l01344"></a><span class="lineno"> 1344</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div><div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div><div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>&#160; };</div><div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>&#160;</div><div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>&#160; ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div><div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>&#160; ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">&quot;input&quot;</span>, <span class="stringliteral">&quot;output&quot;</span>);</div><div class="line"><a name="l01350"></a><span class="lineno"> 1350</span>&#160;</div><div class="line"><a name="l01351"></a><span class="lineno"> 1351</span>&#160; <span class="comment">// ResizeBilinear only changes width and height: batch and channel count must match.</span></div><div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputBatchSize = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0];</div><div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputBatchSize = outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0];</div><div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>&#160; <span class="keywordflow">if</span> (inputBatchSize != outputBatchSize)</div><div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>&#160; {</div><div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div><div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>&#160; boost::str(boost::format(<span class="stringliteral">&quot;%1%: Input batch size (%2%) &quot;</span></div><div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>&#160; <span class="stringliteral">&quot;does not match output batch size (%3%)&quot;</span>) %</div><div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>&#160; descriptorName % inputBatchSize % outputBatchSize));</div><div class="line"><a name="l01360"></a><span class="lineno"> 1360</span>&#160; }</div><div class="line"><a name="l01361"></a><span class="lineno"> 1361</span>&#160;</div><div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>&#160; <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a> dimensionIndices(<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_resize_bilinear_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div><div class="line"><a name="l01363"></a><span class="lineno"> 1363</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannelCount = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[dimensionIndices.GetChannelsIndex()];</div><div class="line"><a name="l01364"></a><span class="lineno"> 1364</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannelCount = outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[dimensionIndices.GetChannelsIndex()];</div><div class="line"><a name="l01365"></a><span class="lineno"> 1365</span>&#160; <span class="keywordflow">if</span> (inputChannelCount != outputChannelCount)</div><div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>&#160; {</div><div class="line"><a name="l01367"></a><span class="lineno"> 1367</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div><div class="line"><a name="l01368"></a><span class="lineno"> 1368</span>&#160; boost::str(boost::format(<span class="stringliteral">&quot;%1%: Input channel count (%2%) &quot;</span></div><div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>&#160; <span class="stringliteral">&quot;does not match output channel count (%3%)&quot;</span>) %</div><div class="line"><a name="l01370"></a><span class="lineno"> 1370</span>&#160; descriptorName % inputChannelCount % outputChannelCount));</div><div class="line"><a name="l01371"></a><span class="lineno"> 1371</span>&#160; }</div><div class="line"><a name="l01372"></a><span class="lineno"> 1372</span>&#160;}</div><div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
164<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters&lt; ResizeBilinearDescriptor &gt;::m_Parameters</a></div><div class="ttdeci">ResizeBilinearDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div>
165<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
166<div class="ttc" id="structarmnn_1_1_workload_info_html_a67b178f8a836bc1e52b8de109760adfd"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">armnn::WorkloadInfo::m_OutputTensorInfos</a></div><div class="ttdeci">std::vector&lt; TensorInfo &gt; m_OutputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00019">WorkloadInfo.hpp:19</a></div></div>
167<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
168<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div>
169<div class="ttc" id="structarmnn_1_1_resize_bilinear_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_resize_bilinear_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::ResizeBilinearDescriptor::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.html#l00720">Descriptors.hpp:720</a></div></div>
170<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
171<div class="ttc" id="structarmnn_1_1_workload_info_html_ac97905bfa0daab357b91df1347600309"><div class="ttname"><a href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">armnn::WorkloadInfo::m_InputTensorInfos</a></div><div class="ttdeci">std::vector&lt; TensorInfo &gt; m_InputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00018">WorkloadInfo.hpp:18</a></div></div>
172<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div>
173<div class="ttc" id="classarmnn_utils_1_1_data_layout_indexed_html"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html">armnnUtils::DataLayoutIndexed</a></div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00017">DataLayoutIndexed.hpp:17</a></div></div>
174<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00088">Tensor.hpp:88</a></div></div>
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178<hr/>The documentation for this struct was generated from the following files:<ul>
179<li>src/backends/backendsCommon/<a class="el" href="_workload_data_8hpp_source.html">WorkloadData.hpp</a></li>
180<li>src/backends/backendsCommon/<a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a></li>
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