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97<a href="#pub-methods">Public Member Functions</a> &#124;
98<a href="#pub-attribs">Public Attributes</a> &#124;
99<a href="structarmnn_1_1_splitter_queue_descriptor-members.html">List of all members</a> </div>
100 <div class="headertitle">
101<div class="title">SplitterQueueDescriptor Struct Reference</div> </div>
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103<div class="contents">
104
105<p><code>#include &lt;<a class="el" href="_workload_data_8hpp_source.html">WorkloadData.hpp</a>&gt;</code></p>
106<div class="dynheader">
107Inheritance diagram for SplitterQueueDescriptor:</div>
108<div class="dyncontent">
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112<div class="dynheader">
113Collaboration diagram for SplitterQueueDescriptor:</div>
114<div class="dyncontent">
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121<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_splitter_queue_descriptor_1_1_view_origin.html">ViewOrigin</a></td></tr>
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145Public Attributes</h2></td></tr>
146<tr class="memitem:ab1794eb3e74c9700cd3d500fc06dc2e5"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="structarmnn_1_1_splitter_queue_descriptor_1_1_view_origin.html">ViewOrigin</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a></td></tr>
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152<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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161<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
162Additional Inherited Members</h2></td></tr>
163<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; ViewsDescriptor &gt;</a></td></tr>
164<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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171<tr class="memitem:ab088ef357662bcea45cbd49674ad0ff7 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#ab088ef357662bcea45cbd49674ad0ff7">QueueDescriptor</a> ()</td></tr>
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177</table>
178<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
179<div class="textblock">
180<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.html#l00111">111</a> of file <a class="el" href="_workload_data_8hpp_source.html">WorkloadData.hpp</a>.</p>
181</div><h2 class="groupheader">Member Function Documentation</h2>
182<a id="a041e495449e22774a34d92b0904c10bf"></a>
183<h2 class="memtitle"><span class="permalink"><a href="#a041e495449e22774a34d92b0904c10bf">&#9670;&nbsp;</a></span>Validate()</h2>
184
185<div class="memitem">
186<div class="memproto">
187 <table class="memname">
188 <tr>
189 <td class="memname">void Validate </td>
190 <td>(</td>
191 <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> &amp;&#160;</td>
192 <td class="paramname"><em>workloadInfo</em></td><td>)</td>
193 <td> const</td>
194 </tr>
195 </table>
196</div><div class="memdoc">
197
198<p class="definition">Definition at line <a class="el" href="_workload_data_8cpp_source.html#l00748">748</a> of file <a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a>.</p>
199<div class="fragment"><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>&#160;{</div>
200<div class="line"><a name="l00750"></a><span class="lineno"> 750</span>&#160; <span class="keyword">const</span> std::string descriptorName{<span class="stringliteral">&quot;SplitterQueueDescriptor&quot;</span>};</div>
201<div class="line"><a name="l00751"></a><span class="lineno"> 751</span>&#160; </div>
202<div class="line"><a name="l00752"></a><span class="lineno"> 752</span>&#160; ValidateNumInputs(workloadInfo, descriptorName, 1);</div>
203<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>&#160; </div>
204<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>&#160; <span class="comment">// Check the supported data types</span></div>
205<div class="line"><a name="l00755"></a><span class="lineno"> 755</span>&#160; std::vector&lt;DataType&gt; supportedTypes =</div>
206<div class="line"><a name="l00756"></a><span class="lineno"> 756</span>&#160; {</div>
207<div class="line"><a name="l00757"></a><span class="lineno"> 757</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">DataType::BFloat16</a>,</div>
208<div class="line"><a name="l00758"></a><span class="lineno"> 758</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>,</div>
209<div class="line"><a name="l00759"></a><span class="lineno"> 759</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>,</div>
210<div class="line"><a name="l00760"></a><span class="lineno"> 760</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>,</div>
211<div class="line"><a name="l00761"></a><span class="lineno"> 761</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>,</div>
212<div class="line"><a name="l00762"></a><span class="lineno"> 762</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>,</div>
213<div class="line"><a name="l00763"></a><span class="lineno"> 763</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>,</div>
214<div class="line"><a name="l00764"></a><span class="lineno"> 764</span>&#160; <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a></div>
215<div class="line"><a name="l00765"></a><span class="lineno"> 765</span>&#160; };</div>
216<div class="line"><a name="l00766"></a><span class="lineno"> 766</span>&#160; </div>
217<div class="line"><a name="l00767"></a><span class="lineno"> 767</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>
218<div class="line"><a name="l00768"></a><span class="lineno"> 768</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">long</span> i = 0ul; i &lt; workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size(); ++i)</div>
219<div class="line"><a name="l00769"></a><span class="lineno"> 769</span>&#160; {</div>
220<div class="line"><a name="l00770"></a><span class="lineno"> 770</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>[i];</div>
221<div class="line"><a name="l00771"></a><span class="lineno"> 771</span>&#160; ValidateDataTypes(outputTensorInfo, supportedTypes, descriptorName);</div>
222<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>&#160; </div>
223<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>&#160; <span class="keyword">const</span> std::string outputName = <span class="stringliteral">&quot;output_&quot;</span> + std::to_string(i);</div>
224<div class="line"><a name="l00774"></a><span class="lineno"> 774</span>&#160; ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, <span class="stringliteral">&quot;input&quot;</span>, outputName);</div>
225<div class="line"><a name="l00775"></a><span class="lineno"> 775</span>&#160; }</div>
226<div class="line"><a name="l00776"></a><span class="lineno"> 776</span>&#160; </div>
227<div class="line"><a name="l00777"></a><span class="lineno"> 777</span>&#160; <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size() &lt;= 0)</div>
228<div class="line"><a name="l00778"></a><span class="lineno"> 778</span>&#160; {</div>
229<div class="line"><a name="l00779"></a><span class="lineno"> 779</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;: At least one output needs to be provided.&quot;</span>);</div>
230<div class="line"><a name="l00780"></a><span class="lineno"> 780</span>&#160; }</div>
231<div class="line"><a name="l00781"></a><span class="lineno"> 781</span>&#160; </div>
232<div class="line"><a name="l00782"></a><span class="lineno"> 782</span>&#160; <span class="keywordflow">if</span> (workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size() != <a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size())</div>
233<div class="line"><a name="l00783"></a><span class="lineno"> 783</span>&#160; {</div>
234<div class="line"><a name="l00784"></a><span class="lineno"> 784</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div>
235<div class="line"><a name="l00785"></a><span class="lineno"> 785</span>&#160; descriptorName + <span class="stringliteral">&quot;: Number of split windows &quot;</span></div>
236<div class="line"><a name="l00786"></a><span class="lineno"> 786</span>&#160; <span class="stringliteral">&quot;has to match number of workloadInfo.m_OutputTensorInfos. &quot;</span></div>
237<div class="line"><a name="l00787"></a><span class="lineno"> 787</span>&#160; <span class="stringliteral">&quot;Number of windows: &quot;</span> +</div>
238<div class="line"><a name="l00788"></a><span class="lineno"> 788</span>&#160; to_string(<a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size()) +</div>
239<div class="line"><a name="l00789"></a><span class="lineno"> 789</span>&#160; <span class="stringliteral">&quot;. Number of workloadInfo.m_OutputTensorInfos: &quot;</span> + to_string(workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>.size()));</div>
240<div class="line"><a name="l00790"></a><span class="lineno"> 790</span>&#160; }</div>
241<div class="line"><a name="l00791"></a><span class="lineno"> 791</span>&#160; </div>
242<div class="line"><a name="l00792"></a><span class="lineno"> 792</span>&#160; <span class="comment">//The dimensionality of all the windows has to match the dimensionality (not shape) of the input.</span></div>
243<div class="line"><a name="l00793"></a><span class="lineno"> 793</span>&#160; std::size_t inputDims = workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetNumDimensions();</div>
244<div class="line"><a name="l00794"></a><span class="lineno"> 794</span>&#160; <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> w = 0; w &lt; <a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.size(); ++w )</div>
245<div class="line"><a name="l00795"></a><span class="lineno"> 795</span>&#160; {</div>
246<div class="line"><a name="l00796"></a><span class="lineno"> 796</span>&#160; <span class="comment">//Checks that the dimensionality of input is same as the split windows.</span></div>
247<div class="line"><a name="l00797"></a><span class="lineno"> 797</span>&#160; ViewOrigin <span class="keyword">const</span>&amp; e = <a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>[w];</div>
248<div class="line"><a name="l00798"></a><span class="lineno"> 798</span>&#160; <span class="keywordflow">if</span> (e.m_Origin.size() != inputDims)</div>
249<div class="line"><a name="l00799"></a><span class="lineno"> 799</span>&#160; {</div>
250<div class="line"><a name="l00800"></a><span class="lineno"> 800</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;: Window origin have to &quot;</span></div>
251<div class="line"><a name="l00801"></a><span class="lineno"> 801</span>&#160; <span class="stringliteral">&quot;have the same dimensionality as the input tensor. &quot;</span></div>
252<div class="line"><a name="l00802"></a><span class="lineno"> 802</span>&#160; <span class="stringliteral">&quot;Window origin (index: &quot;</span> +</div>
253<div class="line"><a name="l00803"></a><span class="lineno"> 803</span>&#160; to_string(w) + <span class="stringliteral">&quot;) has &quot;</span> + to_string(e.m_Origin.size()) +</div>
254<div class="line"><a name="l00804"></a><span class="lineno"> 804</span>&#160; <span class="stringliteral">&quot; dimensions, the input &quot;</span></div>
255<div class="line"><a name="l00805"></a><span class="lineno"> 805</span>&#160; <span class="stringliteral">&quot;tensor has &quot;</span> +</div>
256<div class="line"><a name="l00806"></a><span class="lineno"> 806</span>&#160; to_string(inputDims) + <span class="stringliteral">&quot; dimensions.&quot;</span>);</div>
257<div class="line"><a name="l00807"></a><span class="lineno"> 807</span>&#160; }</div>
258<div class="line"><a name="l00808"></a><span class="lineno"> 808</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; e.m_Origin.size(); ++i)</div>
259<div class="line"><a name="l00809"></a><span class="lineno"> 809</span>&#160; {</div>
260<div class="line"><a name="l00810"></a><span class="lineno"> 810</span>&#160; <span class="keywordflow">if</span> (e.m_Origin[i] + workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#a67b178f8a836bc1e52b8de109760adfd">m_OutputTensorInfos</a>[w].GetShape()[i] &gt;</div>
261<div class="line"><a name="l00811"></a><span class="lineno"> 811</span>&#160; workloadInfo.<a class="code" href="structarmnn_1_1_workload_info.html#ac97905bfa0daab357b91df1347600309">m_InputTensorInfos</a>[0].GetShape()[i])</div>
262<div class="line"><a name="l00812"></a><span class="lineno"> 812</span>&#160; {</div>
263<div class="line"><a name="l00813"></a><span class="lineno"> 813</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;: Window extent coordinates have to &quot;</span></div>
264<div class="line"><a name="l00814"></a><span class="lineno"> 814</span>&#160; <span class="stringliteral">&quot;be smaller or equal than the size of the input in that coord.&quot;</span>);</div>
265<div class="line"><a name="l00815"></a><span class="lineno"> 815</span>&#160; }</div>
266<div class="line"><a name="l00816"></a><span class="lineno"> 816</span>&#160; }</div>
267<div class="line"><a name="l00817"></a><span class="lineno"> 817</span>&#160; }</div>
268<div class="line"><a name="l00818"></a><span class="lineno"> 818</span>&#160;}</div>
269</div><!-- fragment -->
270<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</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="_workload_info_8hpp_source.html#l00018">WorkloadInfo::m_InputTensorInfos</a>, <a class="el" href="_workload_data_8hpp_source.html#l00119">SplitterQueueDescriptor::ViewOrigin::m_Origin</a>, <a class="el" href="_workload_info_8hpp_source.html#l00019">WorkloadInfo::m_OutputTensorInfos</a>, <a class="el" href="_workload_data_8hpp_source.html#l00124">SplitterQueueDescriptor::m_ViewOrigins</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="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>
271
272</div>
273</div>
274<h2 class="groupheader">Member Data Documentation</h2>
275<a id="ab1794eb3e74c9700cd3d500fc06dc2e5"></a>
276<h2 class="memtitle"><span class="permalink"><a href="#ab1794eb3e74c9700cd3d500fc06dc2e5">&#9670;&nbsp;</a></span>m_ViewOrigins</h2>
277
278<div class="memitem">
279<div class="memproto">
280 <table class="memname">
281 <tr>
282 <td class="memname">std::vector&lt;<a class="el" href="structarmnn_1_1_splitter_queue_descriptor_1_1_view_origin.html">ViewOrigin</a>&gt; m_ViewOrigins</td>
283 </tr>
284 </table>
285</div><div class="memdoc">
286
287<p class="definition">Definition at line <a class="el" href="_workload_data_8hpp_source.html#l00124">124</a> of file <a class="el" href="_workload_data_8hpp_source.html">WorkloadData.hpp</a>.</p>
288
289<p class="reference">Referenced by <a class="el" href="_splitter_layer_8cpp_source.html#l00022">SplitterLayer::CreateWorkload()</a>, <a class="el" href="_splitter_8cpp_source.html#l00020">armnn::Split()</a>, <a class="el" href="_splitter_8hpp_source.html#l00017">armnn::Splitter()</a>, and <a class="el" href="_workload_data_8cpp_source.html#l00748">SplitterQueueDescriptor::Validate()</a>.</p>
290
291</div>
292</div>
293<hr/>The documentation for this struct was generated from the following files:<ul>
294<li>include/armnn/backends/<a class="el" href="_workload_data_8hpp_source.html">WorkloadData.hpp</a></li>
295<li>src/backends/backendsCommon/<a class="el" href="_workload_data_8cpp_source.html">WorkloadData.cpp</a></li>
296</ul>
297</div><!-- contents -->
298</div><!-- doc-content -->
299<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div><div class="ttdeci">@ Boolean</div></div>
300<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>
301<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>
302<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>
303<div class="ttc" id="astructarmnn_1_1_splitter_queue_descriptor_html_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">armnn::SplitterQueueDescriptor::m_ViewOrigins</a></div><div class="ttdeci">std::vector&lt; ViewOrigin &gt; m_ViewOrigins</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00124">WorkloadData.hpp:124</a></div></div>
304<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>
305<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>
306<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>
307<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>
308<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>
309<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div><div class="ttdeci">@ Signed32</div></div>
310<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>
311<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>
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