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<div class="title">BatchToSpaceNdQueueDescriptor Struct Reference</div> </div>
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<p><code>#include &lt;<a class="el" href="_workload_data_8hpp_source.html">WorkloadData.hpp</a>&gt;</code></p>
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Inheritance diagram for BatchToSpaceNdQueueDescriptor:</div>
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Public Member Functions</h2></td></tr>
<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_batch_to_space_nd_queue_descriptor.html#a041e495449e22774a34d92b0904c10bf">Validate</a> (const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;workloadInfo) const</td></tr>
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<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.html#l00462">462</a> of file <a class="el" href="_workload_data_8hpp_source.html">WorkloadData.hpp</a>.</p>
</div><h2 class="groupheader">Member Function Documentation</h2>
<a id="a041e495449e22774a34d92b0904c10bf"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a041e495449e22774a34d92b0904c10bf">&#9670;&nbsp;</a></span>Validate()</h2>
<div class="memitem">
<div class="memproto">
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<td class="memname">void Validate </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;&#160;</td>
<td class="paramname"><em>workloadInfo</em></td><td>)</td>
<td> const</td>
</tr>
</table>
</div><div class="memdoc">
<p class="definition">Definition at line <a class="el" href="_workload_data_8cpp_source.html#l02524">2524</a> of file <a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l02525"></a><span class="lineno"> 2525</span>&#160;{</div>
<div class="line"><a name="l02526"></a><span class="lineno"> 2526</span>&#160; <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">&quot;BatchToSpaceNdQueueDescriptor&quot;</span>};</div>
<div class="line"><a name="l02527"></a><span class="lineno"> 2527</span>&#160; </div>
<div class="line"><a name="l02528"></a><span class="lineno"> 2528</span>&#160; ValidateNumInputs(workloadInfo, descriptorName, 1);</div>
<div class="line"><a name="l02529"></a><span class="lineno"> 2529</span>&#160; ValidateNumOutputs(workloadInfo, descriptorName, 1);</div>
<div class="line"><a name="l02530"></a><span class="lineno"> 2530</span>&#160; </div>
<div class="line"><a name="l02531"></a><span class="lineno"> 2531</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="l02532"></a><span class="lineno"> 2532</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="l02533"></a><span class="lineno"> 2533</span>&#160; </div>
<div class="line"><a name="l02534"></a><span class="lineno"> 2534</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>.size() != <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a3941f674c071c9503e00d2b59e92e454">m_Crops</a>.size())</div>
<div class="line"><a name="l02535"></a><span class="lineno"> 2535</span>&#160; {</div>
<div class="line"><a name="l02536"></a><span class="lineno"> 2536</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: Crops must contain the same number of &quot;</span></div>
<div class="line"><a name="l02537"></a><span class="lineno"> 2537</span>&#160; <span class="stringliteral">&quot;dimensions as Block Shape.&quot;</span>);</div>
<div class="line"><a name="l02538"></a><span class="lineno"> 2538</span>&#160; }</div>
<div class="line"><a name="l02539"></a><span class="lineno"> 2539</span>&#160; </div>
<div class="line"><a name="l02540"></a><span class="lineno"> 2540</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>.size() == 2)</div>
<div class="line"><a name="l02541"></a><span class="lineno"> 2541</span>&#160; {</div>
<div class="line"><a name="l02542"></a><span class="lineno"> 2542</span>&#160; <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputTensorInfo, descriptorName, 4, <span class="stringliteral">&quot;input&quot;</span>);</div>
<div class="line"><a name="l02543"></a><span class="lineno"> 2543</span>&#160; <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 4, <span class="stringliteral">&quot;output&quot;</span>);</div>
<div class="line"><a name="l02544"></a><span class="lineno"> 2544</span>&#160; }</div>
<div class="line"><a name="l02545"></a><span class="lineno"> 2545</span>&#160; <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>.size() == 1)</div>
<div class="line"><a name="l02546"></a><span class="lineno"> 2546</span>&#160; {</div>
<div class="line"><a name="l02547"></a><span class="lineno"> 2547</span>&#160; <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(inputTensorInfo, descriptorName, 3, <span class="stringliteral">&quot;input&quot;</span>);</div>
<div class="line"><a name="l02548"></a><span class="lineno"> 2548</span>&#160; <a class="code" href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">ValidateTensorNumDimensions</a>(outputTensorInfo, descriptorName, 3, <span class="stringliteral">&quot;output&quot;</span>);</div>
<div class="line"><a name="l02549"></a><span class="lineno"> 2549</span>&#160; }</div>
<div class="line"><a name="l02550"></a><span class="lineno"> 2550</span>&#160; <span class="keywordflow">else</span></div>
<div class="line"><a name="l02551"></a><span class="lineno"> 2551</span>&#160; {</div>
<div class="line"><a name="l02552"></a><span class="lineno"> 2552</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: Invalid Block and Crops size.&quot;</span>);</div>
<div class="line"><a name="l02553"></a><span class="lineno"> 2553</span>&#160; }</div>
<div class="line"><a name="l02554"></a><span class="lineno"> 2554</span>&#160; </div>
<div class="line"><a name="l02555"></a><span class="lineno"> 2555</span>&#160; <span class="comment">// In a 4D tensor, there will be 2 spatialDimensions (H and W), and the for loop will run twice.</span></div>
<div class="line"><a name="l02556"></a><span class="lineno"> 2556</span>&#160; <span class="comment">// In a 3D tensor, there will be 1 spatialDimensions, and the for loop will run once.</span></div>
<div class="line"><a name="l02557"></a><span class="lineno"> 2557</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> firstSpatialDimension = <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a> ? 2 : 1;</div>
<div class="line"><a name="l02558"></a><span class="lineno"> 2558</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>.size(); ++i)</div>
<div class="line"><a name="l02559"></a><span class="lineno"> 2559</span>&#160; {</div>
<div class="line"><a name="l02560"></a><span class="lineno"> 2560</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> spatialDimension = firstSpatialDimension + i;</div>
<div class="line"><a name="l02561"></a><span class="lineno"> 2561</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> cropSize = <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a3941f674c071c9503e00d2b59e92e454">m_Crops</a>[i].first + <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a3941f674c071c9503e00d2b59e92e454">m_Crops</a>[i].second;</div>
<div class="line"><a name="l02562"></a><span class="lineno"> 2562</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputSize = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[spatialDimension] * <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>[i];</div>
<div class="line"><a name="l02563"></a><span class="lineno"> 2563</span>&#160; <span class="keywordflow">if</span> (cropSize &gt; outputSize)</div>
<div class="line"><a name="l02564"></a><span class="lineno"> 2564</span>&#160; {</div>
<div class="line"><a name="l02565"></a><span class="lineno"> 2565</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(descriptorName + <span class="stringliteral">&quot;: CropSize must be less than or equal to the uncropped&quot;</span></div>
<div class="line"><a name="l02566"></a><span class="lineno"> 2566</span>&#160; <span class="stringliteral">&quot;outputSize in dimension: &quot;</span> + to_string(spatialDimension) + <span class="stringliteral">&quot;.&quot;</span>);</div>
<div class="line"><a name="l02567"></a><span class="lineno"> 2567</span>&#160; }</div>
<div class="line"><a name="l02568"></a><span class="lineno"> 2568</span>&#160; }</div>
<div class="line"><a name="l02569"></a><span class="lineno"> 2569</span>&#160; </div>
<div class="line"><a name="l02570"></a><span class="lineno"> 2570</span>&#160; std::vector&lt;DataType&gt; supportedTypes =</div>
<div class="line"><a name="l02571"></a><span class="lineno"> 2571</span>&#160; {</div>
<div class="line"><a name="l02572"></a><span class="lineno"> 2572</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div>
<div class="line"><a name="l02573"></a><span class="lineno"> 2573</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div>
<div class="line"><a name="l02574"></a><span class="lineno"> 2574</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div>
<div class="line"><a name="l02575"></a><span class="lineno"> 2575</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div>
<div class="line"><a name="l02576"></a><span class="lineno"> 2576</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div>
<div class="line"><a name="l02577"></a><span class="lineno"> 2577</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div>
<div class="line"><a name="l02578"></a><span class="lineno"> 2578</span>&#160; };</div>
<div class="line"><a name="l02579"></a><span class="lineno"> 2579</span>&#160; </div>
<div class="line"><a name="l02580"></a><span class="lineno"> 2580</span>&#160; ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div>
<div class="line"><a name="l02581"></a><span class="lineno"> 2581</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="l02582"></a><span class="lineno"> 2582</span>&#160;}</div>
</div><!-- fragment -->
<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00898">BatchToSpaceNdDescriptor::m_BlockShape</a>, <a class="el" href="_descriptors_8hpp_source.html#l00900">BatchToSpaceNdDescriptor::m_Crops</a>, <a class="el" href="_descriptors_8hpp_source.html#l00902">BatchToSpaceNdDescriptor::m_DataLayout</a>, <a class="el" href="_workload_info_8hpp_source.html#l00018">WorkloadInfo::m_InputTensorInfos</a>, <a class="el" href="_workload_info_8hpp_source.html#l00019">WorkloadInfo::m_OutputTensorInfos</a>, <a class="el" href="_workload_data_8hpp_source.html#l00066">QueueDescriptorWithParameters&lt; BatchToSpaceNdDescriptor &gt;::m_Parameters</a>, <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, and <a class="el" href="_workload_data_8cpp_source.html#l00397">QueueDescriptor::ValidateTensorNumDimensions()</a>.</p>
</div>
</div>
<hr/>The documentation for this struct was generated from the following files:<ul>
<li>include/armnn/backends/<a class="el" href="_workload_data_8hpp_source.html">WorkloadData.hpp</a></li>
<li>src/backends/backendsCommon/<a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a></li>
</ul>
</div><!-- contents -->
</div><!-- doc-content -->
<div class="ttc" id="aclassarmnn_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#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_html_a02e143524aefddd40b485fcf7dea6696"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">armnn::BatchToSpaceNdDescriptor::m_BlockShape</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_BlockShape</div><div class="ttdoc">Block shape values.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00898">Descriptors.hpp:898</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div><div class="ttdeci">@ QAsymmU8</div></div>
<div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_html_a3941f674c071c9503e00d2b59e92e454"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a3941f674c071c9503e00d2b59e92e454">armnn::BatchToSpaceNdDescriptor::m_Crops</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt; &gt; m_Crops</div><div class="ttdoc">The values to crop from the input dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00900">Descriptors.hpp:900</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div><div class="ttdeci">@ QSymmS16</div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::DataType::BFloat16</a></div><div class="ttdeci">@ BFloat16</div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div><div class="ttdeci">@ Float16</div></div>
<div class="ttc" id="astructarmnn_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="_workload_info_8hpp_source.html#l00019">WorkloadInfo.hpp:19</a></div></div>
<div class="ttc" id="astructarmnn_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; BatchToSpaceNdDescriptor &gt;::m_Parameters</a></div><div class="ttdeci">BatchToSpaceNdDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00066">WorkloadData.hpp:66</a></div></div>
<div class="ttc" id="aclassarmnn_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>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div><div class="ttdeci">@ QAsymmS8</div></div>
<div class="ttc" id="aclassarmnn_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#l00193">Tensor.hpp:193</a></div></div>
<div class="ttc" id="astructarmnn_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="_workload_info_8hpp_source.html#l00018">WorkloadInfo.hpp:18</a></div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a089f647d882d65f657d7984e5f505f7c"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a089f647d882d65f657d7984e5f505f7c">armnn::QueueDescriptor::ValidateTensorNumDimensions</a></div><div class="ttdeci">void ValidateTensorNumDimensions(const TensorInfo &amp;tensor, std::string const &amp;descName, unsigned int numDimensions, std::string const &amp;tensorName) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00397">WorkloadData.cpp:397</a></div></div>
<div class="ttc" id="astructarmnn_1_1_batch_to_space_nd_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::BatchToSpaceNdDescriptor::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#l00902">Descriptors.hpp:902</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div><div class="ttdeci">@ NCHW</div></div>
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