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<a href="#pub-methods">Public Member Functions</a> &#124;
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<div class="title">SpaceToBatchNdQueueDescriptor 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 SpaceToBatchNdQueueDescriptor:</div>
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Collaboration diagram for SpaceToBatchNdQueueDescriptor:</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_space_to_batch_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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<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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<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#l00385">385</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#l01848">1848</a> of file <a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l01849"></a><span class="lineno"> 1849</span>&#160;{</div>
<div class="line"><a name="l01850"></a><span class="lineno"> 1850</span>&#160; <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">&quot;SpaceToBatchNdQueueDescriptor&quot;</span>};</div>
<div class="line"><a name="l01851"></a><span class="lineno"> 1851</span>&#160; </div>
<div class="line"><a name="l01852"></a><span class="lineno"> 1852</span>&#160; ValidateNumInputs(workloadInfo, descriptorName, 1);</div>
<div class="line"><a name="l01853"></a><span class="lineno"> 1853</span>&#160; ValidateNumOutputs(workloadInfo, descriptorName, 1);</div>
<div class="line"><a name="l01854"></a><span class="lineno"> 1854</span>&#160; </div>
<div class="line"><a name="l01855"></a><span class="lineno"> 1855</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="l01856"></a><span class="lineno"> 1856</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="l01857"></a><span class="lineno"> 1857</span>&#160; </div>
<div class="line"><a name="l01858"></a><span class="lineno"> 1858</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_space_to_batch_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_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>.size())</div>
<div class="line"><a name="l01859"></a><span class="lineno"> 1859</span>&#160; {</div>
<div class="line"><a name="l01860"></a><span class="lineno"> 1860</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;: Pad List must contain the same number of &quot;</span></div>
<div class="line"><a name="l01861"></a><span class="lineno"> 1861</span>&#160; <span class="stringliteral">&quot;dimensions as Block Shape.&quot;</span>);</div>
<div class="line"><a name="l01862"></a><span class="lineno"> 1862</span>&#160; }</div>
<div class="line"><a name="l01863"></a><span class="lineno"> 1863</span>&#160; </div>
<div class="line"><a name="l01864"></a><span class="lineno"> 1864</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_space_to_batch_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>.size() == 2)</div>
<div class="line"><a name="l01865"></a><span class="lineno"> 1865</span>&#160; {</div>
<div class="line"><a name="l01866"></a><span class="lineno"> 1866</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="l01867"></a><span class="lineno"> 1867</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="l01868"></a><span class="lineno"> 1868</span>&#160; }</div>
<div class="line"><a name="l01869"></a><span class="lineno"> 1869</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_space_to_batch_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>.size() == 1)</div>
<div class="line"><a name="l01870"></a><span class="lineno"> 1870</span>&#160; {</div>
<div class="line"><a name="l01871"></a><span class="lineno"> 1871</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="l01872"></a><span class="lineno"> 1872</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="l01873"></a><span class="lineno"> 1873</span>&#160; }</div>
<div class="line"><a name="l01874"></a><span class="lineno"> 1874</span>&#160; <span class="keywordflow">else</span></div>
<div class="line"><a name="l01875"></a><span class="lineno"> 1875</span>&#160; {</div>
<div class="line"><a name="l01876"></a><span class="lineno"> 1876</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="l01877"></a><span class="lineno"> 1877</span>&#160; }</div>
<div class="line"><a name="l01878"></a><span class="lineno"> 1878</span>&#160; </div>
<div class="line"><a name="l01879"></a><span class="lineno"> 1879</span>&#160; <span class="comment">// Check input + padding and output have the same number of elements</span></div>
<div class="line"><a name="l01880"></a><span class="lineno"> 1880</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_space_to_batch_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div>
<div class="line"><a name="l01881"></a><span class="lineno"> 1881</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[dimensionIndices.GetHeightIndex()] +</div>
<div class="line"><a name="l01882"></a><span class="lineno"> 1882</span>&#160; <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[0].first + <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[0].second;</div>
<div class="line"><a name="l01883"></a><span class="lineno"> 1883</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth = (inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 3) ? 1 :</div>
<div class="line"><a name="l01884"></a><span class="lineno"> 1884</span>&#160; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[dimensionIndices.GetWidthIndex()] +</div>
<div class="line"><a name="l01885"></a><span class="lineno"> 1885</span>&#160; <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[1].first + <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[1].second;</div>
<div class="line"><a name="l01886"></a><span class="lineno"> 1886</span>&#160; </div>
<div class="line"><a name="l01887"></a><span class="lineno"> 1887</span>&#160; <span class="keyword">const</span> <span class="keywordtype">int</span> channelsIndex_int = (<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>) ? 1 : -1;</div>
<div class="line"><a name="l01888"></a><span class="lineno"> 1888</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channelsIndex = channelsIndex_int &lt; 0 ?</div>
<div class="line"><a name="l01889"></a><span class="lineno"> 1889</span>&#160; <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(channelsIndex_int) + inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()</div>
<div class="line"><a name="l01890"></a><span class="lineno"> 1890</span>&#160; : <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(channelsIndex_int);</div>
<div class="line"><a name="l01891"></a><span class="lineno"> 1891</span>&#160; </div>
<div class="line"><a name="l01892"></a><span class="lineno"> 1892</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputElements = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[0] *</div>
<div class="line"><a name="l01893"></a><span class="lineno"> 1893</span>&#160; inputHeight *</div>
<div class="line"><a name="l01894"></a><span class="lineno"> 1894</span>&#160; inputWidth *</div>
<div class="line"><a name="l01895"></a><span class="lineno"> 1895</span>&#160; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[channelsIndex];</div>
<div class="line"><a name="l01896"></a><span class="lineno"> 1896</span>&#160; </div>
<div class="line"><a name="l01897"></a><span class="lineno"> 1897</span>&#160; <span class="keywordflow">if</span> (outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() != numInputElements)</div>
<div class="line"><a name="l01898"></a><span class="lineno"> 1898</span>&#160; {</div>
<div class="line"><a name="l01899"></a><span class="lineno"> 1899</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;: Input tensor has &quot;</span> +</div>
<div class="line"><a name="l01900"></a><span class="lineno"> 1900</span>&#160; to_string(numInputElements) + <span class="stringliteral">&quot; after padding but output tensor has &quot;</span> +</div>
<div class="line"><a name="l01901"></a><span class="lineno"> 1901</span>&#160; to_string(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>()) + <span class="stringliteral">&quot; elements.&quot;</span>);</div>
<div class="line"><a name="l01902"></a><span class="lineno"> 1902</span>&#160; }</div>
<div class="line"><a name="l01903"></a><span class="lineno"> 1903</span>&#160; </div>
<div class="line"><a name="l01904"></a><span class="lineno"> 1904</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="l01905"></a><span class="lineno"> 1905</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="l01906"></a><span class="lineno"> 1906</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_space_to_batch_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="l01907"></a><span class="lineno"> 1907</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_space_to_batch_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>.size(); ++i)</div>
<div class="line"><a name="l01908"></a><span class="lineno"> 1908</span>&#160; {</div>
<div class="line"><a name="l01909"></a><span class="lineno"> 1909</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> spatialDimension = firstSpatialDimension + i;</div>
<div class="line"><a name="l01910"></a><span class="lineno"> 1910</span>&#160; <span class="keyword">auto</span> inputSize = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[spatialDimension] +</div>
<div class="line"><a name="l01911"></a><span class="lineno"> 1911</span>&#160; <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[i].first +</div>
<div class="line"><a name="l01912"></a><span class="lineno"> 1912</span>&#160; <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>[i].second;</div>
<div class="line"><a name="l01913"></a><span class="lineno"> 1913</span>&#160; <span class="keywordflow">if</span> (inputSize % <a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a>[i] != 0)</div>
<div class="line"><a name="l01914"></a><span class="lineno"> 1914</span>&#160; {</div>
<div class="line"><a name="l01915"></a><span class="lineno"> 1915</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;: Input dimension size after padding must be &quot;</span></div>
<div class="line"><a name="l01916"></a><span class="lineno"> 1916</span>&#160; <span class="stringliteral">&quot;divisible by Block Shape in dimension: &quot;</span> + to_string(spatialDimension) + <span class="stringliteral">&quot;.&quot;</span>);</div>
<div class="line"><a name="l01917"></a><span class="lineno"> 1917</span>&#160; }</div>
<div class="line"><a name="l01918"></a><span class="lineno"> 1918</span>&#160; }</div>
<div class="line"><a name="l01919"></a><span class="lineno"> 1919</span>&#160; </div>
<div class="line"><a name="l01920"></a><span class="lineno"> 1920</span>&#160; std::vector&lt;DataType&gt; supportedTypes =</div>
<div class="line"><a name="l01921"></a><span class="lineno"> 1921</span>&#160; {</div>
<div class="line"><a name="l01922"></a><span class="lineno"> 1922</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div>
<div class="line"><a name="l01923"></a><span class="lineno"> 1923</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div>
<div class="line"><a name="l01924"></a><span class="lineno"> 1924</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div>
<div class="line"><a name="l01925"></a><span class="lineno"> 1925</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div>
<div class="line"><a name="l01926"></a><span class="lineno"> 1926</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div>
<div class="line"><a name="l01927"></a><span class="lineno"> 1927</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div>
<div class="line"><a name="l01928"></a><span class="lineno"> 1928</span>&#160; };</div>
<div class="line"><a name="l01929"></a><span class="lineno"> 1929</span>&#160; </div>
<div class="line"><a name="l01930"></a><span class="lineno"> 1930</span>&#160; ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);</div>
<div class="line"><a name="l01931"></a><span class="lineno"> 1931</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="l01932"></a><span class="lineno"> 1932</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="_data_layout_indexed_8hpp_source.html#l00024">DataLayoutIndexed::GetHeightIndex()</a>, <a class="el" href="_tensor_8hpp_source.html#l00197">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00198">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_data_layout_indexed_8hpp_source.html#l00025">DataLayoutIndexed::GetWidthIndex()</a>, <a class="el" href="_descriptors_8hpp_source.html#l01066">SpaceToBatchNdDescriptor::m_BlockShape</a>, <a class="el" href="_descriptors_8hpp_source.html#l01071">SpaceToBatchNdDescriptor::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="_descriptors_8hpp_source.html#l01069">SpaceToBatchNdDescriptor::m_PadList</a>, <a class="el" href="_workload_data_8hpp_source.html#l00066">QueueDescriptorWithParameters&lt; SpaceToBatchNdDescriptor &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 -->
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<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00198">Tensor.hpp:198</a></div></div>
<div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::SpaceToBatchNdDescriptor::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#l01071">Descriptors.hpp:1071</a></div></div>
<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="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00197">Tensor.hpp:197</a></div></div>
<div class="ttc" id="aclassarmnn_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="ttdoc">Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout.</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00017">DataLayoutIndexed.hpp:17</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="astructarmnn_1_1_space_to_batch_nd_descriptor_html_a02e143524aefddd40b485fcf7dea6696"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a02e143524aefddd40b485fcf7dea6696">armnn::SpaceToBatchNdDescriptor::m_BlockShape</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_BlockShape</div><div class="ttdoc">Block shape value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01066">Descriptors.hpp:1066</a></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>
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<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="astructarmnn_1_1_space_to_batch_nd_descriptor_html_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">armnn::SpaceToBatchNdDescriptor::m_PadList</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt; &gt; m_PadList</div><div class="ttdoc">Specifies the padding values for the input dimension: heightPad{top, bottom} widthPad{left,...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01069">Descriptors.hpp:1069</a></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; SpaceToBatchNdDescriptor &gt;::m_Parameters</a></div><div class="ttdeci">SpaceToBatchNdDescriptor 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="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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