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100<div class="title">ConcatTestImpl.hpp File Reference</div> </div>
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103<div class="textblock"><code>#include &quot;<a class="el" href="_layer_test_result_8hpp_source.xhtml">LayerTestResult.hpp</a>&quot;</code><br />
104<code>#include &lt;<a class="el" href="_b_float16_8hpp_source.xhtml">BFloat16.hpp</a>&gt;</code><br />
105<code>#include &lt;<a class="el" href="_half_8hpp_source.xhtml">Half.hpp</a>&gt;</code><br />
106<code>#include &lt;<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>&gt;</code><br />
107<code>#include &lt;<a class="el" href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml">armnn/backends/IBackendInternal.hpp</a>&gt;</code><br />
108<code>#include &lt;<a class="el" href="_workload_factory_8hpp_source.xhtml">backendsCommon/WorkloadFactory.hpp</a>&gt;</code><br />
109</div>
110<p><a href="_concat_test_impl_8hpp_source.xhtml">Go to the source code of this file.</a></p>
111<table class="memberdecls">
112<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
113Functions</h2></td></tr>
114<tr class="memitem:a6e1f3186d22d87b9fd8cd165fc93dd8b"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
115<tr class="memitem:a6e1f3186d22d87b9fd8cd165fc93dd8b"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 3 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#a6e1f3186d22d87b9fd8cd165fc93dd8b">ConcatDifferentInputOutputQParamTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, bool useSubtensor)</td></tr>
116<tr class="separator:a6e1f3186d22d87b9fd8cd165fc93dd8b"><td class="memSeparator" colspan="2">&#160;</td></tr>
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123<tr class="memitem:a19e270fd900e0accead202fcda2b4c41"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 3 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#a19e270fd900e0accead202fcda2b4c41">ConcatUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
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125<tr class="memitem:aa214a90a240582b790648cf6c24607fb"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint16_t, 3 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#aa214a90a240582b790648cf6c24607fb">ConcatUint16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
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137<tr class="memitem:aaba4943ba1b775f7cff525e22a9baeab"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#aaba4943ba1b775f7cff525e22a9baeab">Concat2dDim1DiffInputDimsTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
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205<tr class="memitem:a88b13ea02655c7ab0624f9e96159e7e3"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 3 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#a88b13ea02655c7ab0624f9e96159e7e3">ConcatDifferentInputOutputQParamUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, bool useSubtensor)</td></tr>
206<tr class="separator:a88b13ea02655c7ab0624f9e96159e7e3"><td class="memSeparator" colspan="2">&#160;</td></tr>
207<tr class="memitem:a9a629ac7816072a161966298914ba9c4"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int16_t, 3 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.xhtml#a9a629ac7816072a161966298914ba9c4">ConcatDifferentInputOutputQParamInt16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, bool useSubtensor)</td></tr>
208<tr class="separator:a9a629ac7816072a161966298914ba9c4"><td class="memSeparator" colspan="2">&#160;</td></tr>
209</table>
210<h2 class="groupheader">Function Documentation</h2>
211<a id="ace6eb1fa88c75ef47905c000aa0504cb"></a>
212<h2 class="memtitle"><span class="permalink"><a href="#ace6eb1fa88c75ef47905c000aa0504cb">&#9670;&nbsp;</a></span>Concat1dTest()</h2>
213
214<div class="memitem">
215<div class="memproto">
216 <table class="memname">
217 <tr>
218 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 1&gt; Concat1dTest </td>
219 <td>(</td>
220 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
221 <td class="paramname"><em>workloadFactory</em>, </td>
222 </tr>
223 <tr>
224 <td class="paramkey"></td>
225 <td></td>
226 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
227 <td class="paramname"><em>memoryManager</em>&#160;</td>
228 </tr>
229 <tr>
230 <td></td>
231 <td>)</td>
232 <td></td><td></td>
233 </tr>
234 </table>
235</div><div class="memdoc">
236
237<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02197">2197</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
238<div class="fragment"><div class="line"><a name="l02200"></a><span class="lineno"> 2200</span>&#160;{</div><div class="line"><a name="l02201"></a><span class="lineno"> 2201</span>&#160; <span class="keywordflow">return</span> Concat1dTestImpl&lt;DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02202"></a><span class="lineno"> 2202</span>&#160;}</div></div><!-- fragment -->
239</div>
240</div>
241<a id="a52902ea9aac566d2c3424832876b659a"></a>
242<h2 class="memtitle"><span class="permalink"><a href="#a52902ea9aac566d2c3424832876b659a">&#9670;&nbsp;</a></span>Concat1dUint8Test()</h2>
243
244<div class="memitem">
245<div class="memproto">
246 <table class="memname">
247 <tr>
248 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 1&gt; Concat1dUint8Test </td>
249 <td>(</td>
250 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
251 <td class="paramname"><em>workloadFactory</em>, </td>
252 </tr>
253 <tr>
254 <td class="paramkey"></td>
255 <td></td>
256 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
257 <td class="paramname"><em>memoryManager</em>&#160;</td>
258 </tr>
259 <tr>
260 <td></td>
261 <td>)</td>
262 <td></td><td></td>
263 </tr>
264 </table>
265</div><div class="memdoc">
266
267<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02770">2770</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
268<div class="fragment"><div class="line"><a name="l02773"></a><span class="lineno"> 2773</span>&#160;{</div><div class="line"><a name="l02774"></a><span class="lineno"> 2774</span>&#160; <span class="keywordflow">return</span> Concat1dTestImpl&lt;DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02775"></a><span class="lineno"> 2775</span>&#160;}</div></div><!-- fragment -->
269</div>
270</div>
271<a id="a00b1147bce3c289666dafbd03115c78e"></a>
272<h2 class="memtitle"><span class="permalink"><a href="#a00b1147bce3c289666dafbd03115c78e">&#9670;&nbsp;</a></span>Concat2dDim0DiffInputDimsTest()</h2>
273
274<div class="memitem">
275<div class="memproto">
276 <table class="memname">
277 <tr>
278 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 2&gt; Concat2dDim0DiffInputDimsTest </td>
279 <td>(</td>
280 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
281 <td class="paramname"><em>workloadFactory</em>, </td>
282 </tr>
283 <tr>
284 <td class="paramkey"></td>
285 <td></td>
286 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
287 <td class="paramname"><em>memoryManager</em>&#160;</td>
288 </tr>
289 <tr>
290 <td></td>
291 <td>)</td>
292 <td></td><td></td>
293 </tr>
294 </table>
295</div><div class="memdoc">
296
297<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02218">2218</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
298<div class="fragment"><div class="line"><a name="l02221"></a><span class="lineno"> 2221</span>&#160;{</div><div class="line"><a name="l02222"></a><span class="lineno"> 2222</span>&#160; <span class="keywordflow">return</span> Concat2dDim0DiffInputDimsTestImpl&lt;DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02223"></a><span class="lineno"> 2223</span>&#160;}</div></div><!-- fragment -->
299</div>
300</div>
301<a id="aa46834685cb00a736be946761a6b4567"></a>
302<h2 class="memtitle"><span class="permalink"><a href="#aa46834685cb00a736be946761a6b4567">&#9670;&nbsp;</a></span>Concat2dDim0DiffInputDimsUint8Test()</h2>
303
304<div class="memitem">
305<div class="memproto">
306 <table class="memname">
307 <tr>
308 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 2&gt; Concat2dDim0DiffInputDimsUint8Test </td>
309 <td>(</td>
310 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
311 <td class="paramname"><em>workloadFactory</em>, </td>
312 </tr>
313 <tr>
314 <td class="paramkey"></td>
315 <td></td>
316 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
317 <td class="paramname"><em>memoryManager</em>&#160;</td>
318 </tr>
319 <tr>
320 <td></td>
321 <td>)</td>
322 <td></td><td></td>
323 </tr>
324 </table>
325</div><div class="memdoc">
326
327<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02791">2791</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
328<div class="fragment"><div class="line"><a name="l02794"></a><span class="lineno"> 2794</span>&#160;{</div><div class="line"><a name="l02795"></a><span class="lineno"> 2795</span>&#160; <span class="keywordflow">return</span> Concat2dDim0DiffInputDimsTestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02796"></a><span class="lineno"> 2796</span>&#160; workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02797"></a><span class="lineno"> 2797</span>&#160;}</div></div><!-- fragment -->
329</div>
330</div>
331<a id="a5116ffb2d2ac44c79210f32603098232"></a>
332<h2 class="memtitle"><span class="permalink"><a href="#a5116ffb2d2ac44c79210f32603098232">&#9670;&nbsp;</a></span>Concat2dDim0Test()</h2>
333
334<div class="memitem">
335<div class="memproto">
336 <table class="memname">
337 <tr>
338 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 2&gt; Concat2dDim0Test </td>
339 <td>(</td>
340 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
341 <td class="paramname"><em>workloadFactory</em>, </td>
342 </tr>
343 <tr>
344 <td class="paramkey"></td>
345 <td></td>
346 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
347 <td class="paramname"><em>memoryManager</em>&#160;</td>
348 </tr>
349 <tr>
350 <td></td>
351 <td>)</td>
352 <td></td><td></td>
353 </tr>
354 </table>
355</div><div class="memdoc">
356
357<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02204">2204</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
358<div class="fragment"><div class="line"><a name="l02207"></a><span class="lineno"> 2207</span>&#160;{</div><div class="line"><a name="l02208"></a><span class="lineno"> 2208</span>&#160; <span class="keywordflow">return</span> Concat2dDim0TestImpl&lt;DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02209"></a><span class="lineno"> 2209</span>&#160;}</div></div><!-- fragment -->
359</div>
360</div>
361<a id="a424424f61018121990c0bd7f215ba1a5"></a>
362<h2 class="memtitle"><span class="permalink"><a href="#a424424f61018121990c0bd7f215ba1a5">&#9670;&nbsp;</a></span>Concat2dDim0Uint8Test()</h2>
363
364<div class="memitem">
365<div class="memproto">
366 <table class="memname">
367 <tr>
368 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 2&gt; Concat2dDim0Uint8Test </td>
369 <td>(</td>
370 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
371 <td class="paramname"><em>workloadFactory</em>, </td>
372 </tr>
373 <tr>
374 <td class="paramkey"></td>
375 <td></td>
376 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
377 <td class="paramname"><em>memoryManager</em>&#160;</td>
378 </tr>
379 <tr>
380 <td></td>
381 <td>)</td>
382 <td></td><td></td>
383 </tr>
384 </table>
385</div><div class="memdoc">
386
387<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02777">2777</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
388<div class="fragment"><div class="line"><a name="l02780"></a><span class="lineno"> 2780</span>&#160;{</div><div class="line"><a name="l02781"></a><span class="lineno"> 2781</span>&#160; <span class="keywordflow">return</span> Concat2dDim0TestImpl&lt;DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02782"></a><span class="lineno"> 2782</span>&#160;}</div></div><!-- fragment -->
389</div>
390</div>
391<a id="aaba4943ba1b775f7cff525e22a9baeab"></a>
392<h2 class="memtitle"><span class="permalink"><a href="#aaba4943ba1b775f7cff525e22a9baeab">&#9670;&nbsp;</a></span>Concat2dDim1DiffInputDimsTest()</h2>
393
394<div class="memitem">
395<div class="memproto">
396 <table class="memname">
397 <tr>
398 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 2&gt; Concat2dDim1DiffInputDimsTest </td>
399 <td>(</td>
400 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
401 <td class="paramname"><em>workloadFactory</em>, </td>
402 </tr>
403 <tr>
404 <td class="paramkey"></td>
405 <td></td>
406 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
407 <td class="paramname"><em>memoryManager</em>&#160;</td>
408 </tr>
409 <tr>
410 <td></td>
411 <td>)</td>
412 <td></td><td></td>
413 </tr>
414 </table>
415</div><div class="memdoc">
416
417<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02225">2225</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
418<div class="fragment"><div class="line"><a name="l02228"></a><span class="lineno"> 2228</span>&#160;{</div><div class="line"><a name="l02229"></a><span class="lineno"> 2229</span>&#160; <span class="keywordflow">return</span> Concat2dDim1DiffInputDimsTestImpl&lt;DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02230"></a><span class="lineno"> 2230</span>&#160;}</div></div><!-- fragment -->
419</div>
420</div>
421<a id="ad3896522428eb3b6f106cb010910a761"></a>
422<h2 class="memtitle"><span class="permalink"><a href="#ad3896522428eb3b6f106cb010910a761">&#9670;&nbsp;</a></span>Concat2dDim1DiffInputDimsUint8Test()</h2>
423
424<div class="memitem">
425<div class="memproto">
426 <table class="memname">
427 <tr>
428 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 2&gt; Concat2dDim1DiffInputDimsUint8Test </td>
429 <td>(</td>
430 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
431 <td class="paramname"><em>workloadFactory</em>, </td>
432 </tr>
433 <tr>
434 <td class="paramkey"></td>
435 <td></td>
436 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
437 <td class="paramname"><em>memoryManager</em>&#160;</td>
438 </tr>
439 <tr>
440 <td></td>
441 <td>)</td>
442 <td></td><td></td>
443 </tr>
444 </table>
445</div><div class="memdoc">
446
447<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02799">2799</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
448<div class="fragment"><div class="line"><a name="l02802"></a><span class="lineno"> 2802</span>&#160;{</div><div class="line"><a name="l02803"></a><span class="lineno"> 2803</span>&#160; <span class="keywordflow">return</span> Concat2dDim1DiffInputDimsTestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02804"></a><span class="lineno"> 2804</span>&#160; workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02805"></a><span class="lineno"> 2805</span>&#160;}</div></div><!-- fragment -->
449</div>
450</div>
451<a id="a830930b6b71b1556a4694a72a280b9a9"></a>
452<h2 class="memtitle"><span class="permalink"><a href="#a830930b6b71b1556a4694a72a280b9a9">&#9670;&nbsp;</a></span>Concat2dDim1Test()</h2>
453
454<div class="memitem">
455<div class="memproto">
456 <table class="memname">
457 <tr>
458 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 2&gt; Concat2dDim1Test </td>
459 <td>(</td>
460 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
461 <td class="paramname"><em>workloadFactory</em>, </td>
462 </tr>
463 <tr>
464 <td class="paramkey"></td>
465 <td></td>
466 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
467 <td class="paramname"><em>memoryManager</em>&#160;</td>
468 </tr>
469 <tr>
470 <td></td>
471 <td>)</td>
472 <td></td><td></td>
473 </tr>
474 </table>
475</div><div class="memdoc">
476
477<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02211">2211</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
478<div class="fragment"><div class="line"><a name="l02214"></a><span class="lineno"> 2214</span>&#160;{</div><div class="line"><a name="l02215"></a><span class="lineno"> 2215</span>&#160; <span class="keywordflow">return</span> Concat2dDim1TestImpl&lt;DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02216"></a><span class="lineno"> 2216</span>&#160;}</div></div><!-- fragment -->
479</div>
480</div>
481<a id="a7ab301a0e129643c1b26b72d5161c12f"></a>
482<h2 class="memtitle"><span class="permalink"><a href="#a7ab301a0e129643c1b26b72d5161c12f">&#9670;&nbsp;</a></span>Concat2dDim1Uint8Test()</h2>
483
484<div class="memitem">
485<div class="memproto">
486 <table class="memname">
487 <tr>
488 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 2&gt; Concat2dDim1Uint8Test </td>
489 <td>(</td>
490 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
491 <td class="paramname"><em>workloadFactory</em>, </td>
492 </tr>
493 <tr>
494 <td class="paramkey"></td>
495 <td></td>
496 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
497 <td class="paramname"><em>memoryManager</em>&#160;</td>
498 </tr>
499 <tr>
500 <td></td>
501 <td>)</td>
502 <td></td><td></td>
503 </tr>
504 </table>
505</div><div class="memdoc">
506
507<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02784">2784</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
508<div class="fragment"><div class="line"><a name="l02787"></a><span class="lineno"> 2787</span>&#160;{</div><div class="line"><a name="l02788"></a><span class="lineno"> 2788</span>&#160; <span class="keywordflow">return</span> Concat2dDim1TestImpl&lt;DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02789"></a><span class="lineno"> 2789</span>&#160;}</div></div><!-- fragment -->
509</div>
510</div>
511<a id="aaf9c0655a933d37b9a367e03ec38cace"></a>
512<h2 class="memtitle"><span class="permalink"><a href="#aaf9c0655a933d37b9a367e03ec38cace">&#9670;&nbsp;</a></span>Concat3dDim0DiffInputDimsTest()</h2>
513
514<div class="memitem">
515<div class="memproto">
516 <table class="memname">
517 <tr>
518 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 3&gt; Concat3dDim0DiffInputDimsTest </td>
519 <td>(</td>
520 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
521 <td class="paramname"><em>workloadFactory</em>, </td>
522 </tr>
523 <tr>
524 <td class="paramkey"></td>
525 <td></td>
526 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
527 <td class="paramname"><em>memoryManager</em>&#160;</td>
528 </tr>
529 <tr>
530 <td></td>
531 <td>)</td>
532 <td></td><td></td>
533 </tr>
534 </table>
535</div><div class="memdoc">
536
537<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02254">2254</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
538<div class="fragment"><div class="line"><a name="l02257"></a><span class="lineno"> 2257</span>&#160;{</div><div class="line"><a name="l02258"></a><span class="lineno"> 2258</span>&#160; <span class="keywordflow">return</span> Concat3dDim0DiffInputDimsTestImpl&lt;DataType::Float32&gt;(</div><div class="line"><a name="l02259"></a><span class="lineno"> 2259</span>&#160; workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02260"></a><span class="lineno"> 2260</span>&#160;}</div></div><!-- fragment -->
539</div>
540</div>
541<a id="aa9e2dc53681ecf9ce6af4b06e055688c"></a>
542<h2 class="memtitle"><span class="permalink"><a href="#aa9e2dc53681ecf9ce6af4b06e055688c">&#9670;&nbsp;</a></span>Concat3dDim0DiffInputDimsUint8Test()</h2>
543
544<div class="memitem">
545<div class="memproto">
546 <table class="memname">
547 <tr>
548 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 3&gt; Concat3dDim0DiffInputDimsUint8Test </td>
549 <td>(</td>
550 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
551 <td class="paramname"><em>workloadFactory</em>, </td>
552 </tr>
553 <tr>
554 <td class="paramkey"></td>
555 <td></td>
556 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
557 <td class="paramname"><em>memoryManager</em>&#160;</td>
558 </tr>
559 <tr>
560 <td></td>
561 <td>)</td>
562 <td></td><td></td>
563 </tr>
564 </table>
565</div><div class="memdoc">
566
567<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02830">2830</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
568<div class="fragment"><div class="line"><a name="l02833"></a><span class="lineno"> 2833</span>&#160;{</div><div class="line"><a name="l02834"></a><span class="lineno"> 2834</span>&#160; <span class="keywordflow">return</span> Concat3dDim0TestImpl&lt;DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02835"></a><span class="lineno"> 2835</span>&#160;}</div></div><!-- fragment -->
569</div>
570</div>
571<a id="ac4e3934a8fcb88b2084446fc07a0476d"></a>
572<h2 class="memtitle"><span class="permalink"><a href="#ac4e3934a8fcb88b2084446fc07a0476d">&#9670;&nbsp;</a></span>Concat3dDim0Test()</h2>
573
574<div class="memitem">
575<div class="memproto">
576 <table class="memname">
577 <tr>
578 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 3&gt; Concat3dDim0Test </td>
579 <td>(</td>
580 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
581 <td class="paramname"><em>workloadFactory</em>, </td>
582 </tr>
583 <tr>
584 <td class="paramkey"></td>
585 <td></td>
586 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
587 <td class="paramname"><em>memoryManager</em>&#160;</td>
588 </tr>
589 <tr>
590 <td></td>
591 <td>)</td>
592 <td></td><td></td>
593 </tr>
594 </table>
595</div><div class="memdoc">
596
597<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02232">2232</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
598<div class="fragment"><div class="line"><a name="l02235"></a><span class="lineno"> 2235</span>&#160;{</div><div class="line"><a name="l02236"></a><span class="lineno"> 2236</span>&#160; <span class="keywordflow">return</span> Concat3dDim0TestImpl&lt;DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02237"></a><span class="lineno"> 2237</span>&#160;}</div></div><!-- fragment -->
599</div>
600</div>
601<a id="a9b7209c470ac887960444538aa829df4"></a>
602<h2 class="memtitle"><span class="permalink"><a href="#a9b7209c470ac887960444538aa829df4">&#9670;&nbsp;</a></span>Concat3dDim0Uint8Test()</h2>
603
604<div class="memitem">
605<div class="memproto">
606 <table class="memname">
607 <tr>
608 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 3&gt; Concat3dDim0Uint8Test </td>
609 <td>(</td>
610 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
611 <td class="paramname"><em>workloadFactory</em>, </td>
612 </tr>
613 <tr>
614 <td class="paramkey"></td>
615 <td></td>
616 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
617 <td class="paramname"><em>memoryManager</em>&#160;</td>
618 </tr>
619 <tr>
620 <td></td>
621 <td>)</td>
622 <td></td><td></td>
623 </tr>
624 </table>
625</div><div class="memdoc">
626
627<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02807">2807</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
628<div class="fragment"><div class="line"><a name="l02810"></a><span class="lineno"> 2810</span>&#160;{</div><div class="line"><a name="l02811"></a><span class="lineno"> 2811</span>&#160; <span class="keywordflow">return</span> Concat3dDim0TestImpl&lt;DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02812"></a><span class="lineno"> 2812</span>&#160;}</div></div><!-- fragment -->
629</div>
630</div>
631<a id="a90b656636d7820985cf434daff0bf022"></a>
632<h2 class="memtitle"><span class="permalink"><a href="#a90b656636d7820985cf434daff0bf022">&#9670;&nbsp;</a></span>Concat3dDim1DiffInputDimsTest()</h2>
633
634<div class="memitem">
635<div class="memproto">
636 <table class="memname">
637 <tr>
638 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 3&gt; Concat3dDim1DiffInputDimsTest </td>
639 <td>(</td>
640 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
641 <td class="paramname"><em>workloadFactory</em>, </td>
642 </tr>
643 <tr>
644 <td class="paramkey"></td>
645 <td></td>
646 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
647 <td class="paramname"><em>memoryManager</em>&#160;</td>
648 </tr>
649 <tr>
650 <td></td>
651 <td>)</td>
652 <td></td><td></td>
653 </tr>
654 </table>
655</div><div class="memdoc">
656
657<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02262">2262</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
658<div class="fragment"><div class="line"><a name="l02265"></a><span class="lineno"> 2265</span>&#160;{</div><div class="line"><a name="l02266"></a><span class="lineno"> 2266</span>&#160; <span class="keywordflow">return</span> Concat3dDim1DiffInputDimsTestImpl&lt;DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02267"></a><span class="lineno"> 2267</span>&#160;}</div></div><!-- fragment -->
659</div>
660</div>
661<a id="aea6832981f16a9ffddd97131d328f268"></a>
662<h2 class="memtitle"><span class="permalink"><a href="#aea6832981f16a9ffddd97131d328f268">&#9670;&nbsp;</a></span>Concat3dDim1DiffInputDimsUint8Test()</h2>
663
664<div class="memitem">
665<div class="memproto">
666 <table class="memname">
667 <tr>
668 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 3&gt; Concat3dDim1DiffInputDimsUint8Test </td>
669 <td>(</td>
670 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
671 <td class="paramname"><em>workloadFactory</em>, </td>
672 </tr>
673 <tr>
674 <td class="paramkey"></td>
675 <td></td>
676 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
677 <td class="paramname"><em>memoryManager</em>&#160;</td>
678 </tr>
679 <tr>
680 <td></td>
681 <td>)</td>
682 <td></td><td></td>
683 </tr>
684 </table>
685</div><div class="memdoc">
686
687<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02837">2837</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
688<div class="fragment"><div class="line"><a name="l02840"></a><span class="lineno"> 2840</span>&#160;{</div><div class="line"><a name="l02841"></a><span class="lineno"> 2841</span>&#160; <span class="keywordflow">return</span> Concat3dDim1DiffInputDimsTestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02842"></a><span class="lineno"> 2842</span>&#160; workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02843"></a><span class="lineno"> 2843</span>&#160;}</div></div><!-- fragment -->
689</div>
690</div>
691<a id="a7da0598a7223d89fa251ceb391e85bf1"></a>
692<h2 class="memtitle"><span class="permalink"><a href="#a7da0598a7223d89fa251ceb391e85bf1">&#9670;&nbsp;</a></span>Concat3dDim1Test()</h2>
693
694<div class="memitem">
695<div class="memproto">
696 <table class="memname">
697 <tr>
698 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 3&gt; Concat3dDim1Test </td>
699 <td>(</td>
700 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
701 <td class="paramname"><em>workloadFactory</em>, </td>
702 </tr>
703 <tr>
704 <td class="paramkey"></td>
705 <td></td>
706 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
707 <td class="paramname"><em>memoryManager</em>&#160;</td>
708 </tr>
709 <tr>
710 <td></td>
711 <td>)</td>
712 <td></td><td></td>
713 </tr>
714 </table>
715</div><div class="memdoc">
716
717<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02239">2239</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
718<div class="fragment"><div class="line"><a name="l02242"></a><span class="lineno"> 2242</span>&#160;{</div><div class="line"><a name="l02243"></a><span class="lineno"> 2243</span>&#160; <span class="keywordflow">return</span> Concat3dDim1TestImpl&lt;DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02244"></a><span class="lineno"> 2244</span>&#160;}</div></div><!-- fragment -->
719</div>
720</div>
721<a id="a03fdf8bb5372097f715b75b8ccc12dba"></a>
722<h2 class="memtitle"><span class="permalink"><a href="#a03fdf8bb5372097f715b75b8ccc12dba">&#9670;&nbsp;</a></span>Concat3dDim1Uint8Test()</h2>
723
724<div class="memitem">
725<div class="memproto">
726 <table class="memname">
727 <tr>
728 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 3&gt; Concat3dDim1Uint8Test </td>
729 <td>(</td>
730 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
731 <td class="paramname"><em>workloadFactory</em>, </td>
732 </tr>
733 <tr>
734 <td class="paramkey"></td>
735 <td></td>
736 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
737 <td class="paramname"><em>memoryManager</em>&#160;</td>
738 </tr>
739 <tr>
740 <td></td>
741 <td>)</td>
742 <td></td><td></td>
743 </tr>
744 </table>
745</div><div class="memdoc">
746
747<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02814">2814</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
748<div class="fragment"><div class="line"><a name="l02817"></a><span class="lineno"> 2817</span>&#160;{</div><div class="line"><a name="l02818"></a><span class="lineno"> 2818</span>&#160; <span class="keywordflow">return</span> Concat3dDim1TestImpl&lt;DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02819"></a><span class="lineno"> 2819</span>&#160;}</div></div><!-- fragment -->
749</div>
750</div>
751<a id="a05baeb269bad94f8f037865d4d62eff4"></a>
752<h2 class="memtitle"><span class="permalink"><a href="#a05baeb269bad94f8f037865d4d62eff4">&#9670;&nbsp;</a></span>Concat3dDim2DiffInputDimsTest()</h2>
753
754<div class="memitem">
755<div class="memproto">
756 <table class="memname">
757 <tr>
758 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 3&gt; Concat3dDim2DiffInputDimsTest </td>
759 <td>(</td>
760 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
761 <td class="paramname"><em>workloadFactory</em>, </td>
762 </tr>
763 <tr>
764 <td class="paramkey"></td>
765 <td></td>
766 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
767 <td class="paramname"><em>memoryManager</em>, </td>
768 </tr>
769 <tr>
770 <td class="paramkey"></td>
771 <td></td>
772 <td class="paramtype">bool&#160;</td>
773 <td class="paramname"><em>useSubtensor</em>&#160;</td>
774 </tr>
775 <tr>
776 <td></td>
777 <td>)</td>
778 <td></td><td></td>
779 </tr>
780 </table>
781</div><div class="memdoc">
782
783<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02269">2269</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
784<div class="fragment"><div class="line"><a name="l02273"></a><span class="lineno"> 2273</span>&#160;{</div><div class="line"><a name="l02274"></a><span class="lineno"> 2274</span>&#160; <span class="keywordflow">return</span> Concat3dDim2DiffInputDimsTestImpl&lt;DataType::Float32&gt;(</div><div class="line"><a name="l02275"></a><span class="lineno"> 2275</span>&#160; workloadFactory, memoryManager, useSubtensor, 0.0f, 0);</div><div class="line"><a name="l02276"></a><span class="lineno"> 2276</span>&#160;}</div></div><!-- fragment -->
785</div>
786</div>
787<a id="a867f229f80f1228ce240e5a5812ee0ed"></a>
788<h2 class="memtitle"><span class="permalink"><a href="#a867f229f80f1228ce240e5a5812ee0ed">&#9670;&nbsp;</a></span>Concat3dDim2DiffInputDimsUint8Test()</h2>
789
790<div class="memitem">
791<div class="memproto">
792 <table class="memname">
793 <tr>
794 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 3&gt; Concat3dDim2DiffInputDimsUint8Test </td>
795 <td>(</td>
796 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
797 <td class="paramname"><em>workloadFactory</em>, </td>
798 </tr>
799 <tr>
800 <td class="paramkey"></td>
801 <td></td>
802 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
803 <td class="paramname"><em>memoryManager</em>, </td>
804 </tr>
805 <tr>
806 <td class="paramkey"></td>
807 <td></td>
808 <td class="paramtype">bool&#160;</td>
809 <td class="paramname"><em>useSubtensor</em>&#160;</td>
810 </tr>
811 <tr>
812 <td></td>
813 <td>)</td>
814 <td></td><td></td>
815 </tr>
816 </table>
817</div><div class="memdoc">
818
819<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02845">2845</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
820<div class="fragment"><div class="line"><a name="l02849"></a><span class="lineno"> 2849</span>&#160;{</div><div class="line"><a name="l02850"></a><span class="lineno"> 2850</span>&#160; <span class="keywordflow">return</span> Concat3dDim2DiffInputDimsTestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02851"></a><span class="lineno"> 2851</span>&#160; workloadFactory, memoryManager, useSubtensor, 0.5f, -1);</div><div class="line"><a name="l02852"></a><span class="lineno"> 2852</span>&#160;}</div></div><!-- fragment -->
821</div>
822</div>
823<a id="a5d32ff8dbe6f998f7c0707ad94cc7353"></a>
824<h2 class="memtitle"><span class="permalink"><a href="#a5d32ff8dbe6f998f7c0707ad94cc7353">&#9670;&nbsp;</a></span>Concat3dDim2Test()</h2>
825
826<div class="memitem">
827<div class="memproto">
828 <table class="memname">
829 <tr>
830 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 3&gt; Concat3dDim2Test </td>
831 <td>(</td>
832 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
833 <td class="paramname"><em>workloadFactory</em>, </td>
834 </tr>
835 <tr>
836 <td class="paramkey"></td>
837 <td></td>
838 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
839 <td class="paramname"><em>memoryManager</em>, </td>
840 </tr>
841 <tr>
842 <td class="paramkey"></td>
843 <td></td>
844 <td class="paramtype">bool&#160;</td>
845 <td class="paramname"><em>useSubtensor</em>&#160;</td>
846 </tr>
847 <tr>
848 <td></td>
849 <td>)</td>
850 <td></td><td></td>
851 </tr>
852 </table>
853</div><div class="memdoc">
854
855<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02246">2246</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
856<div class="fragment"><div class="line"><a name="l02250"></a><span class="lineno"> 2250</span>&#160;{</div><div class="line"><a name="l02251"></a><span class="lineno"> 2251</span>&#160; <span class="keywordflow">return</span> Concat3dDim2TestImpl&lt;DataType::Float32&gt;(workloadFactory, memoryManager, useSubtensor, 0.0f, 0);</div><div class="line"><a name="l02252"></a><span class="lineno"> 2252</span>&#160;}</div></div><!-- fragment -->
857</div>
858</div>
859<a id="a47d14abe1ec27b0306f413d75b35581e"></a>
860<h2 class="memtitle"><span class="permalink"><a href="#a47d14abe1ec27b0306f413d75b35581e">&#9670;&nbsp;</a></span>Concat3dDim2Uint8Test()</h2>
861
862<div class="memitem">
863<div class="memproto">
864 <table class="memname">
865 <tr>
866 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 3&gt; Concat3dDim2Uint8Test </td>
867 <td>(</td>
868 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
869 <td class="paramname"><em>workloadFactory</em>, </td>
870 </tr>
871 <tr>
872 <td class="paramkey"></td>
873 <td></td>
874 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
875 <td class="paramname"><em>memoryManager</em>, </td>
876 </tr>
877 <tr>
878 <td class="paramkey"></td>
879 <td></td>
880 <td class="paramtype">bool&#160;</td>
881 <td class="paramname"><em>useSubtensor</em>&#160;</td>
882 </tr>
883 <tr>
884 <td></td>
885 <td>)</td>
886 <td></td><td></td>
887 </tr>
888 </table>
889</div><div class="memdoc">
890
891<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02821">2821</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
892<div class="fragment"><div class="line"><a name="l02825"></a><span class="lineno"> 2825</span>&#160;{</div><div class="line"><a name="l02826"></a><span class="lineno"> 2826</span>&#160; <span class="keywordflow">return</span> Concat3dDim2TestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02827"></a><span class="lineno"> 2827</span>&#160; workloadFactory, memoryManager, useSubtensor, 0.5f, -1);</div><div class="line"><a name="l02828"></a><span class="lineno"> 2828</span>&#160;}</div></div><!-- fragment -->
893</div>
894</div>
895<a id="ab620ad7838ebacd1a31c4e77f62bdbf1"></a>
896<h2 class="memtitle"><span class="permalink"><a href="#ab620ad7838ebacd1a31c4e77f62bdbf1">&#9670;&nbsp;</a></span>Concat4dDiffShapeDim0Test()</h2>
897
898<div class="memitem">
899<div class="memproto">
900 <table class="memname">
901 <tr>
902 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; Concat4dDiffShapeDim0Test </td>
903 <td>(</td>
904 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
905 <td class="paramname"><em>workloadFactory</em>, </td>
906 </tr>
907 <tr>
908 <td class="paramkey"></td>
909 <td></td>
910 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
911 <td class="paramname"><em>memoryManager</em>&#160;</td>
912 </tr>
913 <tr>
914 <td></td>
915 <td>)</td>
916 <td></td><td></td>
917 </tr>
918 </table>
919</div><div class="memdoc">
920
921<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02307">2307</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
922<div class="fragment"><div class="line"><a name="l02310"></a><span class="lineno"> 2310</span>&#160;{</div><div class="line"><a name="l02311"></a><span class="lineno"> 2311</span>&#160; <span class="keywordflow">return</span> Concat4dDiffShapeDim0TestImpl&lt;DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02312"></a><span class="lineno"> 2312</span>&#160;}</div></div><!-- fragment -->
923</div>
924</div>
925<a id="a6ffb413cd06fecd5c83ace0ab940aa2e"></a>
926<h2 class="memtitle"><span class="permalink"><a href="#a6ffb413cd06fecd5c83ace0ab940aa2e">&#9670;&nbsp;</a></span>Concat4dDiffShapeDim0Uint8Test()</h2>
927
928<div class="memitem">
929<div class="memproto">
930 <table class="memname">
931 <tr>
932 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; Concat4dDiffShapeDim0Uint8Test </td>
933 <td>(</td>
934 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
935 <td class="paramname"><em>workloadFactory</em>, </td>
936 </tr>
937 <tr>
938 <td class="paramkey"></td>
939 <td></td>
940 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
941 <td class="paramname"><em>memoryManager</em>&#160;</td>
942 </tr>
943 <tr>
944 <td></td>
945 <td>)</td>
946 <td></td><td></td>
947 </tr>
948 </table>
949</div><div class="memdoc">
950
951<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02883">2883</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
952<div class="fragment"><div class="line"><a name="l02886"></a><span class="lineno"> 2886</span>&#160;{</div><div class="line"><a name="l02887"></a><span class="lineno"> 2887</span>&#160; <span class="keywordflow">return</span> Concat4dDiffShapeDim0TestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02888"></a><span class="lineno"> 2888</span>&#160; workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02889"></a><span class="lineno"> 2889</span>&#160;}</div></div><!-- fragment -->
953</div>
954</div>
955<a id="ac3af065e8cbf4dc4eaf5d196e13a2023"></a>
956<h2 class="memtitle"><span class="permalink"><a href="#ac3af065e8cbf4dc4eaf5d196e13a2023">&#9670;&nbsp;</a></span>Concat4dDiffShapeDim1Test()</h2>
957
958<div class="memitem">
959<div class="memproto">
960 <table class="memname">
961 <tr>
962 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; Concat4dDiffShapeDim1Test </td>
963 <td>(</td>
964 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
965 <td class="paramname"><em>workloadFactory</em>, </td>
966 </tr>
967 <tr>
968 <td class="paramkey"></td>
969 <td></td>
970 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
971 <td class="paramname"><em>memoryManager</em>&#160;</td>
972 </tr>
973 <tr>
974 <td></td>
975 <td>)</td>
976 <td></td><td></td>
977 </tr>
978 </table>
979</div><div class="memdoc">
980
981<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02314">2314</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
982<div class="fragment"><div class="line"><a name="l02317"></a><span class="lineno"> 2317</span>&#160;{</div><div class="line"><a name="l02318"></a><span class="lineno"> 2318</span>&#160; <span class="keywordflow">return</span> Concat4dDiffShapeDim1TestImpl&lt;DataType::Float32&gt;(</div><div class="line"><a name="l02319"></a><span class="lineno"> 2319</span>&#160; workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02320"></a><span class="lineno"> 2320</span>&#160;}</div></div><!-- fragment -->
983</div>
984</div>
985<a id="aa5a76077ad1b8774f9382c7173adf2e9"></a>
986<h2 class="memtitle"><span class="permalink"><a href="#aa5a76077ad1b8774f9382c7173adf2e9">&#9670;&nbsp;</a></span>Concat4dDiffShapeDim1Uint8Test()</h2>
987
988<div class="memitem">
989<div class="memproto">
990 <table class="memname">
991 <tr>
992 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; Concat4dDiffShapeDim1Uint8Test </td>
993 <td>(</td>
994 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
995 <td class="paramname"><em>workloadFactory</em>, </td>
996 </tr>
997 <tr>
998 <td class="paramkey"></td>
999 <td></td>
1000 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1001 <td class="paramname"><em>memoryManager</em>&#160;</td>
1002 </tr>
1003 <tr>
1004 <td></td>
1005 <td>)</td>
1006 <td></td><td></td>
1007 </tr>
1008 </table>
1009</div><div class="memdoc">
1010
1011<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02891">2891</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1012<div class="fragment"><div class="line"><a name="l02894"></a><span class="lineno"> 2894</span>&#160;{</div><div class="line"><a name="l02895"></a><span class="lineno"> 2895</span>&#160; <span class="keywordflow">return</span> Concat4dDiffShapeDim1TestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02896"></a><span class="lineno"> 2896</span>&#160; workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02897"></a><span class="lineno"> 2897</span>&#160;}</div></div><!-- fragment -->
1013</div>
1014</div>
1015<a id="af4358e9d940374a966ab3bcf2133ac1d"></a>
1016<h2 class="memtitle"><span class="permalink"><a href="#af4358e9d940374a966ab3bcf2133ac1d">&#9670;&nbsp;</a></span>Concat4dDiffShapeDim2Test()</h2>
1017
1018<div class="memitem">
1019<div class="memproto">
1020 <table class="memname">
1021 <tr>
1022 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; Concat4dDiffShapeDim2Test </td>
1023 <td>(</td>
1024 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1025 <td class="paramname"><em>workloadFactory</em>, </td>
1026 </tr>
1027 <tr>
1028 <td class="paramkey"></td>
1029 <td></td>
1030 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1031 <td class="paramname"><em>memoryManager</em>&#160;</td>
1032 </tr>
1033 <tr>
1034 <td></td>
1035 <td>)</td>
1036 <td></td><td></td>
1037 </tr>
1038 </table>
1039</div><div class="memdoc">
1040
1041<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02322">2322</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1042<div class="fragment"><div class="line"><a name="l02325"></a><span class="lineno"> 2325</span>&#160;{</div><div class="line"><a name="l02326"></a><span class="lineno"> 2326</span>&#160; <span class="keywordflow">return</span> Concat4dDiffShapeDim2TestImpl&lt;DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02327"></a><span class="lineno"> 2327</span>&#160;}</div></div><!-- fragment -->
1043</div>
1044</div>
1045<a id="ad7fb75be2004b540f65e6bb4e2ee0754"></a>
1046<h2 class="memtitle"><span class="permalink"><a href="#ad7fb75be2004b540f65e6bb4e2ee0754">&#9670;&nbsp;</a></span>Concat4dDiffShapeDim2Uint8Test()</h2>
1047
1048<div class="memitem">
1049<div class="memproto">
1050 <table class="memname">
1051 <tr>
1052 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; Concat4dDiffShapeDim2Uint8Test </td>
1053 <td>(</td>
1054 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1055 <td class="paramname"><em>workloadFactory</em>, </td>
1056 </tr>
1057 <tr>
1058 <td class="paramkey"></td>
1059 <td></td>
1060 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1061 <td class="paramname"><em>memoryManager</em>&#160;</td>
1062 </tr>
1063 <tr>
1064 <td></td>
1065 <td>)</td>
1066 <td></td><td></td>
1067 </tr>
1068 </table>
1069</div><div class="memdoc">
1070
1071<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02899">2899</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1072<div class="fragment"><div class="line"><a name="l02902"></a><span class="lineno"> 2902</span>&#160;{</div><div class="line"><a name="l02903"></a><span class="lineno"> 2903</span>&#160; <span class="keywordflow">return</span> Concat4dDiffShapeDim2TestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02904"></a><span class="lineno"> 2904</span>&#160; workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02905"></a><span class="lineno"> 2905</span>&#160;}</div></div><!-- fragment -->
1073</div>
1074</div>
1075<a id="a07d403448ad4d550304727a960b02cf3"></a>
1076<h2 class="memtitle"><span class="permalink"><a href="#a07d403448ad4d550304727a960b02cf3">&#9670;&nbsp;</a></span>Concat4dDiffShapeDim3Test()</h2>
1077
1078<div class="memitem">
1079<div class="memproto">
1080 <table class="memname">
1081 <tr>
1082 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; Concat4dDiffShapeDim3Test </td>
1083 <td>(</td>
1084 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1085 <td class="paramname"><em>workloadFactory</em>, </td>
1086 </tr>
1087 <tr>
1088 <td class="paramkey"></td>
1089 <td></td>
1090 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1091 <td class="paramname"><em>memoryManager</em>, </td>
1092 </tr>
1093 <tr>
1094 <td class="paramkey"></td>
1095 <td></td>
1096 <td class="paramtype">bool&#160;</td>
1097 <td class="paramname"><em>useSubtensor</em>&#160;</td>
1098 </tr>
1099 <tr>
1100 <td></td>
1101 <td>)</td>
1102 <td></td><td></td>
1103 </tr>
1104 </table>
1105</div><div class="memdoc">
1106
1107<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02329">2329</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1108<div class="fragment"><div class="line"><a name="l02333"></a><span class="lineno"> 2333</span>&#160;{</div><div class="line"><a name="l02334"></a><span class="lineno"> 2334</span>&#160; <span class="keywordflow">return</span> Concat4dDiffShapeDim3TestImpl&lt;DataType::Float32&gt;(</div><div class="line"><a name="l02335"></a><span class="lineno"> 2335</span>&#160; workloadFactory, memoryManager, 0.0f, 0, useSubtensor);</div><div class="line"><a name="l02336"></a><span class="lineno"> 2336</span>&#160;}</div></div><!-- fragment -->
1109</div>
1110</div>
1111<a id="aa1dea5834c12d5826a81b98586ed9d0f"></a>
1112<h2 class="memtitle"><span class="permalink"><a href="#aa1dea5834c12d5826a81b98586ed9d0f">&#9670;&nbsp;</a></span>Concat4dDiffShapeDim3Uint8Test()</h2>
1113
1114<div class="memitem">
1115<div class="memproto">
1116 <table class="memname">
1117 <tr>
1118 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; Concat4dDiffShapeDim3Uint8Test </td>
1119 <td>(</td>
1120 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1121 <td class="paramname"><em>workloadFactory</em>, </td>
1122 </tr>
1123 <tr>
1124 <td class="paramkey"></td>
1125 <td></td>
1126 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1127 <td class="paramname"><em>memoryManager</em>, </td>
1128 </tr>
1129 <tr>
1130 <td class="paramkey"></td>
1131 <td></td>
1132 <td class="paramtype">bool&#160;</td>
1133 <td class="paramname"><em>useSubtensor</em>&#160;</td>
1134 </tr>
1135 <tr>
1136 <td></td>
1137 <td>)</td>
1138 <td></td><td></td>
1139 </tr>
1140 </table>
1141</div><div class="memdoc">
1142
1143<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02907">2907</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1144<div class="fragment"><div class="line"><a name="l02911"></a><span class="lineno"> 2911</span>&#160;{</div><div class="line"><a name="l02912"></a><span class="lineno"> 2912</span>&#160; <span class="keywordflow">return</span> Concat4dDiffShapeDim3TestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02913"></a><span class="lineno"> 2913</span>&#160; workloadFactory, memoryManager, 0.5f, -1, useSubtensor);</div><div class="line"><a name="l02914"></a><span class="lineno"> 2914</span>&#160;}</div></div><!-- fragment -->
1145</div>
1146</div>
1147<a id="a91909169e8ab38ece6d0f6ae0f1be139"></a>
1148<h2 class="memtitle"><span class="permalink"><a href="#a91909169e8ab38ece6d0f6ae0f1be139">&#9670;&nbsp;</a></span>Concat4dDim0Test()</h2>
1149
1150<div class="memitem">
1151<div class="memproto">
1152 <table class="memname">
1153 <tr>
1154 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; Concat4dDim0Test </td>
1155 <td>(</td>
1156 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1157 <td class="paramname"><em>workloadFactory</em>, </td>
1158 </tr>
1159 <tr>
1160 <td class="paramkey"></td>
1161 <td></td>
1162 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1163 <td class="paramname"><em>memoryManager</em>&#160;</td>
1164 </tr>
1165 <tr>
1166 <td></td>
1167 <td>)</td>
1168 <td></td><td></td>
1169 </tr>
1170 </table>
1171</div><div class="memdoc">
1172
1173<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02278">2278</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1174<div class="fragment"><div class="line"><a name="l02281"></a><span class="lineno"> 2281</span>&#160;{</div><div class="line"><a name="l02282"></a><span class="lineno"> 2282</span>&#160; <span class="keywordflow">return</span> Concat4dDim0TestImpl&lt;DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02283"></a><span class="lineno"> 2283</span>&#160;}</div></div><!-- fragment -->
1175</div>
1176</div>
1177<a id="a29fe68dfe18a76f541eb50788ce4e3ea"></a>
1178<h2 class="memtitle"><span class="permalink"><a href="#a29fe68dfe18a76f541eb50788ce4e3ea">&#9670;&nbsp;</a></span>Concat4dDim0Uint8Test()</h2>
1179
1180<div class="memitem">
1181<div class="memproto">
1182 <table class="memname">
1183 <tr>
1184 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; Concat4dDim0Uint8Test </td>
1185 <td>(</td>
1186 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1187 <td class="paramname"><em>workloadFactory</em>, </td>
1188 </tr>
1189 <tr>
1190 <td class="paramkey"></td>
1191 <td></td>
1192 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1193 <td class="paramname"><em>memoryManager</em>&#160;</td>
1194 </tr>
1195 <tr>
1196 <td></td>
1197 <td>)</td>
1198 <td></td><td></td>
1199 </tr>
1200 </table>
1201</div><div class="memdoc">
1202
1203<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02854">2854</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1204<div class="fragment"><div class="line"><a name="l02857"></a><span class="lineno"> 2857</span>&#160;{</div><div class="line"><a name="l02858"></a><span class="lineno"> 2858</span>&#160; <span class="keywordflow">return</span> Concat4dDim0TestImpl&lt;DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02859"></a><span class="lineno"> 2859</span>&#160;}</div></div><!-- fragment -->
1205</div>
1206</div>
1207<a id="aa0feb9fa1760053d01b12fdc1e07f332"></a>
1208<h2 class="memtitle"><span class="permalink"><a href="#aa0feb9fa1760053d01b12fdc1e07f332">&#9670;&nbsp;</a></span>Concat4dDim1Test()</h2>
1209
1210<div class="memitem">
1211<div class="memproto">
1212 <table class="memname">
1213 <tr>
1214 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; Concat4dDim1Test </td>
1215 <td>(</td>
1216 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1217 <td class="paramname"><em>workloadFactory</em>, </td>
1218 </tr>
1219 <tr>
1220 <td class="paramkey"></td>
1221 <td></td>
1222 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1223 <td class="paramname"><em>memoryManager</em>&#160;</td>
1224 </tr>
1225 <tr>
1226 <td></td>
1227 <td>)</td>
1228 <td></td><td></td>
1229 </tr>
1230 </table>
1231</div><div class="memdoc">
1232
1233<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02285">2285</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1234<div class="fragment"><div class="line"><a name="l02288"></a><span class="lineno"> 2288</span>&#160;{</div><div class="line"><a name="l02289"></a><span class="lineno"> 2289</span>&#160; <span class="keywordflow">return</span> Concat4dDim1TestImpl&lt;DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02290"></a><span class="lineno"> 2290</span>&#160;}</div></div><!-- fragment -->
1235</div>
1236</div>
1237<a id="a03be5345933e2183ccea0b4bdf760bc3"></a>
1238<h2 class="memtitle"><span class="permalink"><a href="#a03be5345933e2183ccea0b4bdf760bc3">&#9670;&nbsp;</a></span>Concat4dDim1Uint8Test()</h2>
1239
1240<div class="memitem">
1241<div class="memproto">
1242 <table class="memname">
1243 <tr>
1244 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; Concat4dDim1Uint8Test </td>
1245 <td>(</td>
1246 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1247 <td class="paramname"><em>workloadFactory</em>, </td>
1248 </tr>
1249 <tr>
1250 <td class="paramkey"></td>
1251 <td></td>
1252 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1253 <td class="paramname"><em>memoryManager</em>&#160;</td>
1254 </tr>
1255 <tr>
1256 <td></td>
1257 <td>)</td>
1258 <td></td><td></td>
1259 </tr>
1260 </table>
1261</div><div class="memdoc">
1262
1263<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02861">2861</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1264<div class="fragment"><div class="line"><a name="l02864"></a><span class="lineno"> 2864</span>&#160;{</div><div class="line"><a name="l02865"></a><span class="lineno"> 2865</span>&#160; <span class="keywordflow">return</span> Concat4dDim1TestImpl&lt;DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02866"></a><span class="lineno"> 2866</span>&#160;}</div></div><!-- fragment -->
1265</div>
1266</div>
1267<a id="a8fadb9250b570b73971c9e766b5602b3"></a>
1268<h2 class="memtitle"><span class="permalink"><a href="#a8fadb9250b570b73971c9e766b5602b3">&#9670;&nbsp;</a></span>Concat4dDim2Test()</h2>
1269
1270<div class="memitem">
1271<div class="memproto">
1272 <table class="memname">
1273 <tr>
1274 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; Concat4dDim2Test </td>
1275 <td>(</td>
1276 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1277 <td class="paramname"><em>workloadFactory</em>, </td>
1278 </tr>
1279 <tr>
1280 <td class="paramkey"></td>
1281 <td></td>
1282 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1283 <td class="paramname"><em>memoryManager</em>&#160;</td>
1284 </tr>
1285 <tr>
1286 <td></td>
1287 <td>)</td>
1288 <td></td><td></td>
1289 </tr>
1290 </table>
1291</div><div class="memdoc">
1292
1293<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02292">2292</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1294<div class="fragment"><div class="line"><a name="l02295"></a><span class="lineno"> 2295</span>&#160;{</div><div class="line"><a name="l02296"></a><span class="lineno"> 2296</span>&#160; <span class="keywordflow">return</span> Concat4dDim2TestImpl&lt;DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02297"></a><span class="lineno"> 2297</span>&#160;}</div></div><!-- fragment -->
1295</div>
1296</div>
1297<a id="acfb1d0401bb61e709639b969165afe4b"></a>
1298<h2 class="memtitle"><span class="permalink"><a href="#acfb1d0401bb61e709639b969165afe4b">&#9670;&nbsp;</a></span>Concat4dDim2Uint8Test()</h2>
1299
1300<div class="memitem">
1301<div class="memproto">
1302 <table class="memname">
1303 <tr>
1304 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; Concat4dDim2Uint8Test </td>
1305 <td>(</td>
1306 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1307 <td class="paramname"><em>workloadFactory</em>, </td>
1308 </tr>
1309 <tr>
1310 <td class="paramkey"></td>
1311 <td></td>
1312 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1313 <td class="paramname"><em>memoryManager</em>&#160;</td>
1314 </tr>
1315 <tr>
1316 <td></td>
1317 <td>)</td>
1318 <td></td><td></td>
1319 </tr>
1320 </table>
1321</div><div class="memdoc">
1322
1323<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02868">2868</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1324<div class="fragment"><div class="line"><a name="l02871"></a><span class="lineno"> 2871</span>&#160;{</div><div class="line"><a name="l02872"></a><span class="lineno"> 2872</span>&#160; <span class="keywordflow">return</span> Concat4dDim2TestImpl&lt;DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02873"></a><span class="lineno"> 2873</span>&#160;}</div></div><!-- fragment -->
1325</div>
1326</div>
1327<a id="ad08906b01cf2920530d60ac430e0e444"></a>
1328<h2 class="memtitle"><span class="permalink"><a href="#ad08906b01cf2920530d60ac430e0e444">&#9670;&nbsp;</a></span>Concat4dDim3Test()</h2>
1329
1330<div class="memitem">
1331<div class="memproto">
1332 <table class="memname">
1333 <tr>
1334 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; Concat4dDim3Test </td>
1335 <td>(</td>
1336 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1337 <td class="paramname"><em>workloadFactory</em>, </td>
1338 </tr>
1339 <tr>
1340 <td class="paramkey"></td>
1341 <td></td>
1342 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1343 <td class="paramname"><em>memoryManager</em>, </td>
1344 </tr>
1345 <tr>
1346 <td class="paramkey"></td>
1347 <td></td>
1348 <td class="paramtype">bool&#160;</td>
1349 <td class="paramname"><em>useSubtensor</em>&#160;</td>
1350 </tr>
1351 <tr>
1352 <td></td>
1353 <td>)</td>
1354 <td></td><td></td>
1355 </tr>
1356 </table>
1357</div><div class="memdoc">
1358
1359<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02299">2299</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1360<div class="fragment"><div class="line"><a name="l02303"></a><span class="lineno"> 2303</span>&#160;{</div><div class="line"><a name="l02304"></a><span class="lineno"> 2304</span>&#160; <span class="keywordflow">return</span> Concat4dDim3TestImpl&lt;DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0, useSubtensor);</div><div class="line"><a name="l02305"></a><span class="lineno"> 2305</span>&#160;}</div></div><!-- fragment -->
1361</div>
1362</div>
1363<a id="a6b98c51a5cba6f48dfdd2410a97f3892"></a>
1364<h2 class="memtitle"><span class="permalink"><a href="#a6b98c51a5cba6f48dfdd2410a97f3892">&#9670;&nbsp;</a></span>Concat4dDim3Uint8Test()</h2>
1365
1366<div class="memitem">
1367<div class="memproto">
1368 <table class="memname">
1369 <tr>
1370 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; Concat4dDim3Uint8Test </td>
1371 <td>(</td>
1372 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1373 <td class="paramname"><em>workloadFactory</em>, </td>
1374 </tr>
1375 <tr>
1376 <td class="paramkey"></td>
1377 <td></td>
1378 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1379 <td class="paramname"><em>memoryManager</em>, </td>
1380 </tr>
1381 <tr>
1382 <td class="paramkey"></td>
1383 <td></td>
1384 <td class="paramtype">bool&#160;</td>
1385 <td class="paramname"><em>useSubtensor</em>&#160;</td>
1386 </tr>
1387 <tr>
1388 <td></td>
1389 <td>)</td>
1390 <td></td><td></td>
1391 </tr>
1392 </table>
1393</div><div class="memdoc">
1394
1395<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02875">2875</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1396<div class="fragment"><div class="line"><a name="l02878"></a><span class="lineno"> 2878</span>&#160;{</div><div class="line"><a name="l02879"></a><span class="lineno"> 2879</span>&#160; <span class="keywordflow">return</span> Concat4dDim3TestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02880"></a><span class="lineno"> 2880</span>&#160; workloadFactory, memoryManager, 0.5f, -1, useSubtensor);</div><div class="line"><a name="l02881"></a><span class="lineno"> 2881</span>&#160;}</div></div><!-- fragment -->
1397</div>
1398</div>
1399<a id="ab5405ec3fef5df1cb61a99bc9e5f5121"></a>
1400<h2 class="memtitle"><span class="permalink"><a href="#ab5405ec3fef5df1cb61a99bc9e5f5121">&#9670;&nbsp;</a></span>ConcatBFloat16Test()</h2>
1401
1402<div class="memitem">
1403<div class="memproto">
1404 <table class="memname">
1405 <tr>
1406 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;<a class="el" href="classarmnn_1_1_b_float16.xhtml">armnn::BFloat16</a>, 3&gt; ConcatBFloat16Test </td>
1407 <td>(</td>
1408 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1409 <td class="paramname"><em>workloadFactory</em>, </td>
1410 </tr>
1411 <tr>
1412 <td class="paramkey"></td>
1413 <td></td>
1414 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1415 <td class="paramname"><em>memoryManager</em>&#160;</td>
1416 </tr>
1417 <tr>
1418 <td></td>
1419 <td>)</td>
1420 <td></td><td></td>
1421 </tr>
1422 </table>
1423</div><div class="memdoc">
1424
1425<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02345">2345</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1426<div class="fragment"><div class="line"><a name="l02348"></a><span class="lineno"> 2348</span>&#160;{</div><div class="line"><a name="l02349"></a><span class="lineno"> 2349</span>&#160; <span class="keywordflow">return</span> Concat3dDim1TestImpl&lt;DataType::BFloat16&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02350"></a><span class="lineno"> 2350</span>&#160;}</div></div><!-- fragment -->
1427</div>
1428</div>
1429<a id="a9a629ac7816072a161966298914ba9c4"></a>
1430<h2 class="memtitle"><span class="permalink"><a href="#a9a629ac7816072a161966298914ba9c4">&#9670;&nbsp;</a></span>ConcatDifferentInputOutputQParamInt16Test()</h2>
1431
1432<div class="memitem">
1433<div class="memproto">
1434 <table class="memname">
1435 <tr>
1436 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int16_t, 3&gt; ConcatDifferentInputOutputQParamInt16Test </td>
1437 <td>(</td>
1438 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1439 <td class="paramname"><em>workloadFactory</em>, </td>
1440 </tr>
1441 <tr>
1442 <td class="paramkey"></td>
1443 <td></td>
1444 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1445 <td class="paramname"><em>memoryManager</em>, </td>
1446 </tr>
1447 <tr>
1448 <td class="paramkey"></td>
1449 <td></td>
1450 <td class="paramtype">bool&#160;</td>
1451 <td class="paramname"><em>useSubtensor</em>&#160;</td>
1452 </tr>
1453 <tr>
1454 <td></td>
1455 <td>)</td>
1456 <td></td><td></td>
1457 </tr>
1458 </table>
1459</div><div class="memdoc">
1460
1461</div>
1462</div>
1463<a id="a6e1f3186d22d87b9fd8cd165fc93dd8b"></a>
1464<h2 class="memtitle"><span class="permalink"><a href="#a6e1f3186d22d87b9fd8cd165fc93dd8b">&#9670;&nbsp;</a></span>ConcatDifferentInputOutputQParamTest()</h2>
1465
1466<div class="memitem">
1467<div class="memproto">
1468 <table class="memname">
1469 <tr>
1470 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 3&gt; ConcatDifferentInputOutputQParamTest </td>
1471 <td>(</td>
1472 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1473 <td class="paramname"><em>workloadFactory</em>, </td>
1474 </tr>
1475 <tr>
1476 <td class="paramkey"></td>
1477 <td></td>
1478 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1479 <td class="paramname"><em>memoryManager</em>, </td>
1480 </tr>
1481 <tr>
1482 <td class="paramkey"></td>
1483 <td></td>
1484 <td class="paramtype">bool&#160;</td>
1485 <td class="paramname"><em>useSubtensor</em>&#160;</td>
1486 </tr>
1487 <tr>
1488 <td></td>
1489 <td>)</td>
1490 <td></td><td></td>
1491 </tr>
1492 </table>
1493</div><div class="memdoc">
1494
1495<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l01916">1916</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1496
1497<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01135">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00242">armnn::CreateDescriptorForConcatenation()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">IWorkloadFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00049">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00115">ConcatQueueDescriptor::m_ViewOrigins</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult&lt; T, n &gt;::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>, and <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">IWorkloadFactory::SupportsSubTensors()</a>.</p>
1498<div class="fragment"><div class="line"><a name="l01920"></a><span class="lineno"> 1920</span>&#160;{</div><div class="line"><a name="l01921"></a><span class="lineno"> 1921</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l01922"></a><span class="lineno"> 1922</span>&#160;</div><div class="line"><a name="l01923"></a><span class="lineno"> 1923</span>&#160; <span class="comment">// Defines the tensor descriptors.</span></div><div class="line"><a name="l01924"></a><span class="lineno"> 1924</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo({ 3, 6, 3 }, ArmnnType);</div><div class="line"><a name="l01925"></a><span class="lineno"> 1925</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo1({ 3, 6, 2 }, ArmnnType);</div><div class="line"><a name="l01926"></a><span class="lineno"> 1926</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo2({ 3, 6, 1 }, ArmnnType);</div><div class="line"><a name="l01927"></a><span class="lineno"> 1927</span>&#160;</div><div class="line"><a name="l01928"></a><span class="lineno"> 1928</span>&#160; std::vector&lt;TensorShape&gt; inputTensorShapes({inputTensorInfo1.GetShape(), inputTensorInfo2.GetShape()});</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; <span class="comment">// Quantized input1 tensor.</span></div><div class="line"><a name="l01931"></a><span class="lineno"> 1931</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> inputScale1 = 0.5f;</div><div class="line"><a name="l01932"></a><span class="lineno"> 1932</span>&#160; <span class="keyword">const</span> int32_t inputOffset1 = 5;</div><div class="line"><a name="l01933"></a><span class="lineno"> 1933</span>&#160;</div><div class="line"><a name="l01934"></a><span class="lineno"> 1934</span>&#160; <span class="keyword">auto</span> input1 = MakeTensor&lt;T, 3&gt;(inputTensorInfo1, std::vector&lt;T&gt;(</div><div class="line"><a name="l01935"></a><span class="lineno"> 1935</span>&#160; {</div><div class="line"><a name="l01936"></a><span class="lineno"> 1936</span>&#160; 1, 2, 3,</div><div class="line"><a name="l01937"></a><span class="lineno"> 1937</span>&#160; 4, 5, 6,</div><div class="line"><a name="l01938"></a><span class="lineno"> 1938</span>&#160; 7, 8, 9,</div><div class="line"><a name="l01939"></a><span class="lineno"> 1939</span>&#160; 10, 11, 12,</div><div class="line"><a name="l01940"></a><span class="lineno"> 1940</span>&#160; 13, 14, 15,</div><div class="line"><a name="l01941"></a><span class="lineno"> 1941</span>&#160; 16, 17, 18,</div><div class="line"><a name="l01942"></a><span class="lineno"> 1942</span>&#160;</div><div class="line"><a name="l01943"></a><span class="lineno"> 1943</span>&#160; 19, 20, 21,</div><div class="line"><a name="l01944"></a><span class="lineno"> 1944</span>&#160; 22, 23, 24,</div><div class="line"><a name="l01945"></a><span class="lineno"> 1945</span>&#160; 25, 26, 27,</div><div class="line"><a name="l01946"></a><span class="lineno"> 1946</span>&#160; 28, 29, 30,</div><div class="line"><a name="l01947"></a><span class="lineno"> 1947</span>&#160; 31, 32, 33,</div><div class="line"><a name="l01948"></a><span class="lineno"> 1948</span>&#160; 34, 35, 36</div><div class="line"><a name="l01949"></a><span class="lineno"> 1949</span>&#160; }));</div><div class="line"><a name="l01950"></a><span class="lineno"> 1950</span>&#160;</div><div class="line"><a name="l01951"></a><span class="lineno"> 1951</span>&#160; <span class="comment">// Quatized input2 tensor.</span></div><div class="line"><a name="l01952"></a><span class="lineno"> 1952</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> inputScale2 = 0.2f;</div><div class="line"><a name="l01953"></a><span class="lineno"> 1953</span>&#160; <span class="keyword">const</span> int32_t inputOffset2 = 10;</div><div class="line"><a name="l01954"></a><span class="lineno"> 1954</span>&#160;</div><div class="line"><a name="l01955"></a><span class="lineno"> 1955</span>&#160; <span class="keyword">auto</span> input2 = MakeTensor&lt;T, 3&gt;(inputTensorInfo2, std::vector&lt;T&gt;(</div><div class="line"><a name="l01956"></a><span class="lineno"> 1956</span>&#160; {</div><div class="line"><a name="l01957"></a><span class="lineno"> 1957</span>&#160; 37, 38, 39,</div><div class="line"><a name="l01958"></a><span class="lineno"> 1958</span>&#160; 40, 41, 42,</div><div class="line"><a name="l01959"></a><span class="lineno"> 1959</span>&#160; 43, 44, 45,</div><div class="line"><a name="l01960"></a><span class="lineno"> 1960</span>&#160; 46, 47, 48,</div><div class="line"><a name="l01961"></a><span class="lineno"> 1961</span>&#160; 49, 50, 51,</div><div class="line"><a name="l01962"></a><span class="lineno"> 1962</span>&#160; 52, 53, 54</div><div class="line"><a name="l01963"></a><span class="lineno"> 1963</span>&#160; }));</div><div class="line"><a name="l01964"></a><span class="lineno"> 1964</span>&#160;</div><div class="line"><a name="l01965"></a><span class="lineno"> 1965</span>&#160; <span class="comment">// Quantized output tensor.</span></div><div class="line"><a name="l01966"></a><span class="lineno"> 1966</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> outputScale = 0.1f;</div><div class="line"><a name="l01967"></a><span class="lineno"> 1967</span>&#160; <span class="keyword">const</span> int32_t outputOffset = 20;</div><div class="line"><a name="l01968"></a><span class="lineno"> 1968</span>&#160;</div><div class="line"><a name="l01969"></a><span class="lineno"> 1969</span>&#160; <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 3&gt;</a> ret(outputTensorInfo);</div><div class="line"><a name="l01970"></a><span class="lineno"> 1970</span>&#160;</div><div class="line"><a name="l01971"></a><span class="lineno"> 1971</span>&#160; ret.outputExpected = MakeTensor&lt;T, 3&gt;(outputTensorInfo, std::vector&lt;T&gt;(</div><div class="line"><a name="l01972"></a><span class="lineno"> 1972</span>&#160; {</div><div class="line"><a name="l01973"></a><span class="lineno"> 1973</span>&#160; 0, 5, 74,</div><div class="line"><a name="l01974"></a><span class="lineno"> 1974</span>&#160; 10, 15, 76,</div><div class="line"><a name="l01975"></a><span class="lineno"> 1975</span>&#160; 20, 25, 78,</div><div class="line"><a name="l01976"></a><span class="lineno"> 1976</span>&#160; 30, 35, 80,</div><div class="line"><a name="l01977"></a><span class="lineno"> 1977</span>&#160; 40, 45, 82,</div><div class="line"><a name="l01978"></a><span class="lineno"> 1978</span>&#160; 50, 55, 84,</div><div class="line"><a name="l01979"></a><span class="lineno"> 1979</span>&#160;</div><div class="line"><a name="l01980"></a><span class="lineno"> 1980</span>&#160; 60, 65, 86,</div><div class="line"><a name="l01981"></a><span class="lineno"> 1981</span>&#160; 70, 75, 88,</div><div class="line"><a name="l01982"></a><span class="lineno"> 1982</span>&#160; 80, 85, 90,</div><div class="line"><a name="l01983"></a><span class="lineno"> 1983</span>&#160; 90, 95, 92,</div><div class="line"><a name="l01984"></a><span class="lineno"> 1984</span>&#160; 100, 105, 94,</div><div class="line"><a name="l01985"></a><span class="lineno"> 1985</span>&#160; 110, 115, 96,</div><div class="line"><a name="l01986"></a><span class="lineno"> 1986</span>&#160;</div><div class="line"><a name="l01987"></a><span class="lineno"> 1987</span>&#160; 120, 125, 98,</div><div class="line"><a name="l01988"></a><span class="lineno"> 1988</span>&#160; 130, 135, 100,</div><div class="line"><a name="l01989"></a><span class="lineno"> 1989</span>&#160; 140, 145, 102,</div><div class="line"><a name="l01990"></a><span class="lineno"> 1990</span>&#160; 150, 155, 104,</div><div class="line"><a name="l01991"></a><span class="lineno"> 1991</span>&#160; 160, 165, 106,</div><div class="line"><a name="l01992"></a><span class="lineno"> 1992</span>&#160; 170, 175, 108</div><div class="line"><a name="l01993"></a><span class="lineno"> 1993</span>&#160; }));</div><div class="line"><a name="l01994"></a><span class="lineno"> 1994</span>&#160;</div><div class="line"><a name="l01995"></a><span class="lineno"> 1995</span>&#160; outputTensorInfo.SetQuantizationScale(outputScale);</div><div class="line"><a name="l01996"></a><span class="lineno"> 1996</span>&#160; outputTensorInfo.SetQuantizationOffset(outputOffset);</div><div class="line"><a name="l01997"></a><span class="lineno"> 1997</span>&#160; inputTensorInfo1.SetQuantizationScale(inputScale1);</div><div class="line"><a name="l01998"></a><span class="lineno"> 1998</span>&#160; inputTensorInfo1.SetQuantizationOffset(inputOffset1);</div><div class="line"><a name="l01999"></a><span class="lineno"> 1999</span>&#160; inputTensorInfo2.SetQuantizationScale(inputScale2);</div><div class="line"><a name="l02000"></a><span class="lineno"> 2000</span>&#160; inputTensorInfo2.SetQuantizationOffset(inputOffset2);</div><div class="line"><a name="l02001"></a><span class="lineno"> 2001</span>&#160;</div><div class="line"><a name="l02002"></a><span class="lineno"> 2002</span>&#160; std::vector&lt;unsigned int&gt; wOrigin1 = { 0, 0, 0 }; <span class="comment">//Extent of the window is defined by size of input[0].</span></div><div class="line"><a name="l02003"></a><span class="lineno"> 2003</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window1(wOrigin1);</div><div class="line"><a name="l02004"></a><span class="lineno"> 2004</span>&#160;</div><div class="line"><a name="l02005"></a><span class="lineno"> 2005</span>&#160; std::vector&lt;unsigned int&gt; wOrigin2 = { 0, 0, 2 }; <span class="comment">//Extent of the window is defined by size of input[1].</span></div><div class="line"><a name="l02006"></a><span class="lineno"> 2006</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window2(wOrigin2);</div><div class="line"><a name="l02007"></a><span class="lineno"> 2007</span>&#160;</div><div class="line"><a name="l02008"></a><span class="lineno"> 2008</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l02009"></a><span class="lineno"> 2009</span>&#160;</div><div class="line"><a name="l02010"></a><span class="lineno"> 2010</span>&#160; <span class="keywordtype">bool</span> subTensorsSupported = useSubtensor &amp;&amp; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">SupportsSubTensors</a>();</div><div class="line"><a name="l02011"></a><span class="lineno"> 2011</span>&#160;</div><div class="line"><a name="l02012"></a><span class="lineno"> 2012</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; inputHandle1 =</div><div class="line"><a name="l02013"></a><span class="lineno"> 2013</span>&#160; subTensorsSupported ?</div><div class="line"><a name="l02014"></a><span class="lineno"> 2014</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :</div><div class="line"><a name="l02015"></a><span class="lineno"> 2015</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l02016"></a><span class="lineno"> 2016</span>&#160;</div><div class="line"><a name="l02017"></a><span class="lineno"> 2017</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; inputHandle2 =</div><div class="line"><a name="l02018"></a><span class="lineno"> 2018</span>&#160; subTensorsSupported ?</div><div class="line"><a name="l02019"></a><span class="lineno"> 2019</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :</div><div class="line"><a name="l02020"></a><span class="lineno"> 2020</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l02021"></a><span class="lineno"> 2021</span>&#160;</div><div class="line"><a name="l02022"></a><span class="lineno"> 2022</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> data;</div><div class="line"><a name="l02023"></a><span class="lineno"> 2023</span>&#160; <a class="code" href="structarmnn_1_1_origins_descriptor.xhtml">OriginsDescriptor</a> desc = <a class="code" href="namespacearmnn.xhtml#a733ae6b70d0bfa43433c3e7606992328">CreateDescriptorForConcatenation</a>(</div><div class="line"><a name="l02024"></a><span class="lineno"> 2024</span>&#160; inputTensorShapes.begin(),inputTensorShapes.end(), 2);</div><div class="line"><a name="l02025"></a><span class="lineno"> 2025</span>&#160; data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a> = desc;</div><div class="line"><a name="l02026"></a><span class="lineno"> 2026</span>&#160;</div><div class="line"><a name="l02027"></a><span class="lineno"> 2027</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l02028"></a><span class="lineno"> 2028</span>&#160; AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l02029"></a><span class="lineno"> 2029</span>&#160; AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l02030"></a><span class="lineno"> 2030</span>&#160; AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l02031"></a><span class="lineno"> 2031</span>&#160;</div><div class="line"><a name="l02032"></a><span class="lineno"> 2032</span>&#160; data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window1);</div><div class="line"><a name="l02033"></a><span class="lineno"> 2033</span>&#160; data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window2);</div><div class="line"><a name="l02034"></a><span class="lineno"> 2034</span>&#160;</div><div class="line"><a name="l02035"></a><span class="lineno"> 2035</span>&#160; std::unique_ptr&lt;IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">CreateConcat</a>(data, info);</div><div class="line"><a name="l02036"></a><span class="lineno"> 2036</span>&#160;</div><div class="line"><a name="l02037"></a><span class="lineno"> 2037</span>&#160; inputHandle1-&gt;Allocate();</div><div class="line"><a name="l02038"></a><span class="lineno"> 2038</span>&#160; inputHandle2-&gt;Allocate();</div><div class="line"><a name="l02039"></a><span class="lineno"> 2039</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l02040"></a><span class="lineno"> 2040</span>&#160;</div><div class="line"><a name="l02041"></a><span class="lineno"> 2041</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), &amp;input1[0][0][0]);</div><div class="line"><a name="l02042"></a><span class="lineno"> 2042</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle2.get(), &amp;input2[0][0][0]);</div><div class="line"><a name="l02043"></a><span class="lineno"> 2043</span>&#160;</div><div class="line"><a name="l02044"></a><span class="lineno"> 2044</span>&#160; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l02045"></a><span class="lineno"> 2045</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l02046"></a><span class="lineno"> 2046</span>&#160;</div><div class="line"><a name="l02047"></a><span class="lineno"> 2047</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;ret.output[0][0][0], outputHandle.get());</div><div class="line"><a name="l02048"></a><span class="lineno"> 2048</span>&#160;</div><div class="line"><a name="l02049"></a><span class="lineno"> 2049</span>&#160; <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l02050"></a><span class="lineno"> 2050</span>&#160;}</div><div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">armnn::ConcatQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00104">WorkloadData.hpp:104</a></div></div>
1499<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
1500<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">armnn::IWorkloadFactory::CreateSubTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateSubTensorHandle(ITensorHandle &amp;parent, TensorShape const &amp;subTensorShape, unsigned int const *subTensorOrigin) const =0</div></div>
1501<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
1502<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00049">WorkloadData.hpp:49</a></div></div>
1503<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00102">WorkloadData.hpp:102</a></div></div>
1504<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a32bb8d6cf5fc028bf501252767c08b21"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">armnn::IWorkloadFactory::CreateConcat</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateConcat(const ConcatQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01135">WorkloadFactory.cpp:1135</a></div></div>
1505<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">armnn::ConcatQueueDescriptor::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.xhtml#l00115">WorkloadData.hpp:115</a></div></div>
1506<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00147">Descriptors.hpp:147</a></div></div>
1507<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div>
1508<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
1509<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
1510<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
1511<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div>
1512<div class="ttc" id="namespacearmnn_xhtml_a733ae6b70d0bfa43433c3e7606992328"><div class="ttname"><a href="namespacearmnn.xhtml#a733ae6b70d0bfa43433c3e7606992328">armnn::CreateDescriptorForConcatenation</a></div><div class="ttdeci">OriginsDescriptor CreateDescriptorForConcatenation(TensorShapeIt first, TensorShapeIt last, unsigned int concatenationDimension)</div><div class="ttdoc">Convenience template to create an OriginsDescriptor to use when creating a ConcatLayer for performing...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00242">Descriptors.hpp:242</a></div></div>
1513<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div>
1514<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a37f4eba7877deb34f4d8d64c9bcb9ab5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">armnn::IWorkloadFactory::SupportsSubTensors</a></div><div class="ttdeci">virtual bool SupportsSubTensors() const =0</div></div>
1515</div><!-- fragment -->
1516</div>
1517</div>
1518<a id="a88b13ea02655c7ab0624f9e96159e7e3"></a>
1519<h2 class="memtitle"><span class="permalink"><a href="#a88b13ea02655c7ab0624f9e96159e7e3">&#9670;&nbsp;</a></span>ConcatDifferentInputOutputQParamUint8Test()</h2>
1520
1521<div class="memitem">
1522<div class="memproto">
1523 <table class="memname">
1524 <tr>
1525 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 3&gt; ConcatDifferentInputOutputQParamUint8Test </td>
1526 <td>(</td>
1527 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1528 <td class="paramname"><em>workloadFactory</em>, </td>
1529 </tr>
1530 <tr>
1531 <td class="paramkey"></td>
1532 <td></td>
1533 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1534 <td class="paramname"><em>memoryManager</em>, </td>
1535 </tr>
1536 <tr>
1537 <td class="paramkey"></td>
1538 <td></td>
1539 <td class="paramtype">bool&#160;</td>
1540 <td class="paramname"><em>useSubtensor</em>&#160;</td>
1541 </tr>
1542 <tr>
1543 <td></td>
1544 <td>)</td>
1545 <td></td><td></td>
1546 </tr>
1547 </table>
1548</div><div class="memdoc">
1549
1550</div>
1551</div>
1552<a id="ab3f39ad4780f638a354331009785c4f6"></a>
1553<h2 class="memtitle"><span class="permalink"><a href="#ab3f39ad4780f638a354331009785c4f6">&#9670;&nbsp;</a></span>ConcatFloat16Test()</h2>
1554
1555<div class="memitem">
1556<div class="memproto">
1557 <table class="memname">
1558 <tr>
1559 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;<a class="el" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>, 3&gt; ConcatFloat16Test </td>
1560 <td>(</td>
1561 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1562 <td class="paramname"><em>workloadFactory</em>, </td>
1563 </tr>
1564 <tr>
1565 <td class="paramkey"></td>
1566 <td></td>
1567 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1568 <td class="paramname"><em>memoryManager</em>&#160;</td>
1569 </tr>
1570 <tr>
1571 <td></td>
1572 <td>)</td>
1573 <td></td><td></td>
1574 </tr>
1575 </table>
1576</div><div class="memdoc">
1577
1578<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02338">2338</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1579<div class="fragment"><div class="line"><a name="l02341"></a><span class="lineno"> 2341</span>&#160;{</div><div class="line"><a name="l02342"></a><span class="lineno"> 2342</span>&#160; <span class="keywordflow">return</span> Concat3dDim1TestImpl&lt;DataType::Float16&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l02343"></a><span class="lineno"> 2343</span>&#160;}</div></div><!-- fragment -->
1580</div>
1581</div>
1582<a id="a1349a36c2a1b0d894ba55b6ef2597ca3"></a>
1583<h2 class="memtitle"><span class="permalink"><a href="#a1349a36c2a1b0d894ba55b6ef2597ca3">&#9670;&nbsp;</a></span>ConcatTest()</h2>
1584
1585<div class="memitem">
1586<div class="memproto">
1587 <table class="memname">
1588 <tr>
1589 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 3&gt; ConcatTest </td>
1590 <td>(</td>
1591 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1592 <td class="paramname"><em>workloadFactory</em>, </td>
1593 </tr>
1594 <tr>
1595 <td class="paramkey"></td>
1596 <td></td>
1597 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1598 <td class="paramname"><em>memoryManager</em>&#160;</td>
1599 </tr>
1600 <tr>
1601 <td></td>
1602 <td>)</td>
1603 <td></td><td></td>
1604 </tr>
1605 </table>
1606</div><div class="memdoc">
1607
1608<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02072">2072</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1609
1610<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01135">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">IWorkloadFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00115">ConcatQueueDescriptor::m_ViewOrigins</a>, and <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">IWorkloadFactory::SupportsSubTensors()</a>.</p>
1611<div class="fragment"><div class="line"><a name="l02075"></a><span class="lineno"> 2075</span>&#160;{</div><div class="line"><a name="l02076"></a><span class="lineno"> 2076</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l02077"></a><span class="lineno"> 2077</span>&#160;</div><div class="line"><a name="l02078"></a><span class="lineno"> 2078</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = 3;</div><div class="line"><a name="l02079"></a><span class="lineno"> 2079</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = 6;</div><div class="line"><a name="l02080"></a><span class="lineno"> 2080</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = 3;</div><div class="line"><a name="l02081"></a><span class="lineno"> 2081</span>&#160;</div><div class="line"><a name="l02082"></a><span class="lineno"> 2082</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth1 = 3;</div><div class="line"><a name="l02083"></a><span class="lineno"> 2083</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight1 = 6;</div><div class="line"><a name="l02084"></a><span class="lineno"> 2084</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels1 = 2;</div><div class="line"><a name="l02085"></a><span class="lineno"> 2085</span>&#160;</div><div class="line"><a name="l02086"></a><span class="lineno"> 2086</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth2 = 3;</div><div class="line"><a name="l02087"></a><span class="lineno"> 2087</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight2 = 6;</div><div class="line"><a name="l02088"></a><span class="lineno"> 2088</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels2 = 1;</div><div class="line"><a name="l02089"></a><span class="lineno"> 2089</span>&#160;</div><div class="line"><a name="l02090"></a><span class="lineno"> 2090</span>&#160; <span class="comment">// Define the tensor descriptors.</span></div><div class="line"><a name="l02091"></a><span class="lineno"> 2091</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo({ outputChannels, outputHeight, outputWidth }, DataType::Float32);</div><div class="line"><a name="l02092"></a><span class="lineno"> 2092</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, DataType::Float32);</div><div class="line"><a name="l02093"></a><span class="lineno"> 2093</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, DataType::Float32);</div><div class="line"><a name="l02094"></a><span class="lineno"> 2094</span>&#160;</div><div class="line"><a name="l02095"></a><span class="lineno"> 2095</span>&#160; <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;float,3&gt;</a> ret(outputTensorInfo);</div><div class="line"><a name="l02096"></a><span class="lineno"> 2096</span>&#160;</div><div class="line"><a name="l02097"></a><span class="lineno"> 2097</span>&#160; ret.outputExpected = MakeTensor&lt;float, 3&gt;(outputTensorInfo, std::vector&lt;float&gt;(</div><div class="line"><a name="l02098"></a><span class="lineno"> 2098</span>&#160; {</div><div class="line"><a name="l02099"></a><span class="lineno"> 2099</span>&#160; 1.0f, 2.0f, 3.0f,</div><div class="line"><a name="l02100"></a><span class="lineno"> 2100</span>&#160; 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l02101"></a><span class="lineno"> 2101</span>&#160; 7.0f, 8.0f, 9.0f,</div><div class="line"><a name="l02102"></a><span class="lineno"> 2102</span>&#160; 10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l02103"></a><span class="lineno"> 2103</span>&#160; 13.0f, 14.0f, 15.0f,</div><div class="line"><a name="l02104"></a><span class="lineno"> 2104</span>&#160; 16.0f, 17.0f, 18.0f,</div><div class="line"><a name="l02105"></a><span class="lineno"> 2105</span>&#160;</div><div class="line"><a name="l02106"></a><span class="lineno"> 2106</span>&#160; 19.0f, 20.0f, 21.0f,</div><div class="line"><a name="l02107"></a><span class="lineno"> 2107</span>&#160; 22.0f, 23.0f, 24.0f,</div><div class="line"><a name="l02108"></a><span class="lineno"> 2108</span>&#160; 25.0f, 26.0f, 27.0f,</div><div class="line"><a name="l02109"></a><span class="lineno"> 2109</span>&#160; 28.0f, 29.0f, 30.0f,</div><div class="line"><a name="l02110"></a><span class="lineno"> 2110</span>&#160; 31.0f, 32.0f, 33.0f,</div><div class="line"><a name="l02111"></a><span class="lineno"> 2111</span>&#160; 34.0f, 35.0f, 36.0f,</div><div class="line"><a name="l02112"></a><span class="lineno"> 2112</span>&#160;</div><div class="line"><a name="l02113"></a><span class="lineno"> 2113</span>&#160; 37.0f, 38.0f, 39.0f,</div><div class="line"><a name="l02114"></a><span class="lineno"> 2114</span>&#160; 40.0f, 41.0f, 42.0f,</div><div class="line"><a name="l02115"></a><span class="lineno"> 2115</span>&#160; 43.0f, 44.0f, 45.0f,</div><div class="line"><a name="l02116"></a><span class="lineno"> 2116</span>&#160; 46.0f, 47.0f, 48.0f,</div><div class="line"><a name="l02117"></a><span class="lineno"> 2117</span>&#160; 49.0f, 50.0f, 51.0f,</div><div class="line"><a name="l02118"></a><span class="lineno"> 2118</span>&#160; 52.0f, 53.0f, 54.0f,</div><div class="line"><a name="l02119"></a><span class="lineno"> 2119</span>&#160; })</div><div class="line"><a name="l02120"></a><span class="lineno"> 2120</span>&#160; );</div><div class="line"><a name="l02121"></a><span class="lineno"> 2121</span>&#160;</div><div class="line"><a name="l02122"></a><span class="lineno"> 2122</span>&#160; <span class="keyword">auto</span> input1 = MakeTensor&lt;float, 3&gt;(inputTensorInfo1, std::vector&lt;float&gt;(</div><div class="line"><a name="l02123"></a><span class="lineno"> 2123</span>&#160; {</div><div class="line"><a name="l02124"></a><span class="lineno"> 2124</span>&#160; 1.0f, 2.0f, 3.0f,</div><div class="line"><a name="l02125"></a><span class="lineno"> 2125</span>&#160; 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l02126"></a><span class="lineno"> 2126</span>&#160; 7.0f, 8.0f, 9.0f,</div><div class="line"><a name="l02127"></a><span class="lineno"> 2127</span>&#160; 10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l02128"></a><span class="lineno"> 2128</span>&#160; 13.0f, 14.0f, 15.0f,</div><div class="line"><a name="l02129"></a><span class="lineno"> 2129</span>&#160; 16.0f, 17.0f, 18.0f,</div><div class="line"><a name="l02130"></a><span class="lineno"> 2130</span>&#160;</div><div class="line"><a name="l02131"></a><span class="lineno"> 2131</span>&#160; 19.0f, 20.0f, 21.0f,</div><div class="line"><a name="l02132"></a><span class="lineno"> 2132</span>&#160; 22.0f, 23.0f, 24.0f,</div><div class="line"><a name="l02133"></a><span class="lineno"> 2133</span>&#160; 25.0f, 26.0f, 27.0f,</div><div class="line"><a name="l02134"></a><span class="lineno"> 2134</span>&#160; 28.0f, 29.0f, 30.0f,</div><div class="line"><a name="l02135"></a><span class="lineno"> 2135</span>&#160; 31.0f, 32.0f, 33.0f,</div><div class="line"><a name="l02136"></a><span class="lineno"> 2136</span>&#160; 34.0f, 35.0f, 36.0f,</div><div class="line"><a name="l02137"></a><span class="lineno"> 2137</span>&#160; })</div><div class="line"><a name="l02138"></a><span class="lineno"> 2138</span>&#160; );</div><div class="line"><a name="l02139"></a><span class="lineno"> 2139</span>&#160;</div><div class="line"><a name="l02140"></a><span class="lineno"> 2140</span>&#160; <span class="keyword">auto</span> input2 = MakeTensor&lt;float, 3&gt;(inputTensorInfo2, std::vector&lt;float&gt;(</div><div class="line"><a name="l02141"></a><span class="lineno"> 2141</span>&#160; {</div><div class="line"><a name="l02142"></a><span class="lineno"> 2142</span>&#160; 37.0f, 38.0f, 39.0f,</div><div class="line"><a name="l02143"></a><span class="lineno"> 2143</span>&#160; 40.0f, 41.0f, 42.0f,</div><div class="line"><a name="l02144"></a><span class="lineno"> 2144</span>&#160; 43.0f, 44.0f, 45.0f,</div><div class="line"><a name="l02145"></a><span class="lineno"> 2145</span>&#160; 46.0f, 47.0f, 48.0f,</div><div class="line"><a name="l02146"></a><span class="lineno"> 2146</span>&#160; 49.0f, 50.0f, 51.0f,</div><div class="line"><a name="l02147"></a><span class="lineno"> 2147</span>&#160; 52.0f, 53.0f, 54.0f,</div><div class="line"><a name="l02148"></a><span class="lineno"> 2148</span>&#160; })</div><div class="line"><a name="l02149"></a><span class="lineno"> 2149</span>&#160; );</div><div class="line"><a name="l02150"></a><span class="lineno"> 2150</span>&#160;</div><div class="line"><a name="l02151"></a><span class="lineno"> 2151</span>&#160; std::vector&lt;unsigned int&gt; wOrigin1 = {0, 0, 0}; <span class="comment">//Extent of the window is defined by size of input[0].</span></div><div class="line"><a name="l02152"></a><span class="lineno"> 2152</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window1(wOrigin1);</div><div class="line"><a name="l02153"></a><span class="lineno"> 2153</span>&#160;</div><div class="line"><a name="l02154"></a><span class="lineno"> 2154</span>&#160; std::vector&lt;unsigned int&gt; wOrigin2 = {2, 0, 0}; <span class="comment">//Extent of the window is defined by size of input[1].</span></div><div class="line"><a name="l02155"></a><span class="lineno"> 2155</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window2(wOrigin2);</div><div class="line"><a name="l02156"></a><span class="lineno"> 2156</span>&#160;</div><div class="line"><a name="l02157"></a><span class="lineno"> 2157</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l02158"></a><span class="lineno"> 2158</span>&#160;</div><div class="line"><a name="l02159"></a><span class="lineno"> 2159</span>&#160; <span class="keywordtype">bool</span> subTensorsSupported = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">SupportsSubTensors</a>();</div><div class="line"><a name="l02160"></a><span class="lineno"> 2160</span>&#160;</div><div class="line"><a name="l02161"></a><span class="lineno"> 2161</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; inputHandle1 =</div><div class="line"><a name="l02162"></a><span class="lineno"> 2162</span>&#160; subTensorsSupported ?</div><div class="line"><a name="l02163"></a><span class="lineno"> 2163</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :</div><div class="line"><a name="l02164"></a><span class="lineno"> 2164</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l02165"></a><span class="lineno"> 2165</span>&#160;</div><div class="line"><a name="l02166"></a><span class="lineno"> 2166</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; inputHandle2 =</div><div class="line"><a name="l02167"></a><span class="lineno"> 2167</span>&#160; subTensorsSupported ?</div><div class="line"><a name="l02168"></a><span class="lineno"> 2168</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :</div><div class="line"><a name="l02169"></a><span class="lineno"> 2169</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l02170"></a><span class="lineno"> 2170</span>&#160;</div><div class="line"><a name="l02171"></a><span class="lineno"> 2171</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> data;</div><div class="line"><a name="l02172"></a><span class="lineno"> 2172</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l02173"></a><span class="lineno"> 2173</span>&#160; AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l02174"></a><span class="lineno"> 2174</span>&#160; AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l02175"></a><span class="lineno"> 2175</span>&#160; AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l02176"></a><span class="lineno"> 2176</span>&#160;</div><div class="line"><a name="l02177"></a><span class="lineno"> 2177</span>&#160; data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window1);</div><div class="line"><a name="l02178"></a><span class="lineno"> 2178</span>&#160; data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window2);</div><div class="line"><a name="l02179"></a><span class="lineno"> 2179</span>&#160;</div><div class="line"><a name="l02180"></a><span class="lineno"> 2180</span>&#160; std::unique_ptr&lt;IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">CreateConcat</a>(data, info);</div><div class="line"><a name="l02181"></a><span class="lineno"> 2181</span>&#160;</div><div class="line"><a name="l02182"></a><span class="lineno"> 2182</span>&#160; inputHandle1-&gt;Allocate();</div><div class="line"><a name="l02183"></a><span class="lineno"> 2183</span>&#160; inputHandle2-&gt;Allocate();</div><div class="line"><a name="l02184"></a><span class="lineno"> 2184</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l02185"></a><span class="lineno"> 2185</span>&#160;</div><div class="line"><a name="l02186"></a><span class="lineno"> 2186</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), &amp;input1[0][0][0]);</div><div class="line"><a name="l02187"></a><span class="lineno"> 2187</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle2.get(), &amp;input2[0][0][0]);</div><div class="line"><a name="l02188"></a><span class="lineno"> 2188</span>&#160;</div><div class="line"><a name="l02189"></a><span class="lineno"> 2189</span>&#160; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l02190"></a><span class="lineno"> 2190</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l02191"></a><span class="lineno"> 2191</span>&#160;</div><div class="line"><a name="l02192"></a><span class="lineno"> 2192</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;ret.output[0][0][0], outputHandle.get());</div><div class="line"><a name="l02193"></a><span class="lineno"> 2193</span>&#160;</div><div class="line"><a name="l02194"></a><span class="lineno"> 2194</span>&#160; <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l02195"></a><span class="lineno"> 2195</span>&#160;}</div><div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">armnn::ConcatQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00104">WorkloadData.hpp:104</a></div></div>
1612<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
1613<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">armnn::IWorkloadFactory::CreateSubTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateSubTensorHandle(ITensorHandle &amp;parent, TensorShape const &amp;subTensorShape, unsigned int const *subTensorOrigin) const =0</div></div>
1614<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
1615<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00102">WorkloadData.hpp:102</a></div></div>
1616<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a32bb8d6cf5fc028bf501252767c08b21"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">armnn::IWorkloadFactory::CreateConcat</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateConcat(const ConcatQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01135">WorkloadFactory.cpp:1135</a></div></div>
1617<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">armnn::ConcatQueueDescriptor::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.xhtml#l00115">WorkloadData.hpp:115</a></div></div>
1618<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div>
1619<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
1620<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
1621<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
1622<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div>
1623<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div>
1624<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a37f4eba7877deb34f4d8d64c9bcb9ab5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">armnn::IWorkloadFactory::SupportsSubTensors</a></div><div class="ttdeci">virtual bool SupportsSubTensors() const =0</div></div>
1625</div><!-- fragment -->
1626</div>
1627</div>
1628<a id="aa214a90a240582b790648cf6c24607fb"></a>
1629<h2 class="memtitle"><span class="permalink"><a href="#aa214a90a240582b790648cf6c24607fb">&#9670;&nbsp;</a></span>ConcatUint16Test()</h2>
1630
1631<div class="memitem">
1632<div class="memproto">
1633 <table class="memname">
1634 <tr>
1635 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint16_t, 3&gt; ConcatUint16Test </td>
1636 <td>(</td>
1637 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1638 <td class="paramname"><em>workloadFactory</em>, </td>
1639 </tr>
1640 <tr>
1641 <td class="paramkey"></td>
1642 <td></td>
1643 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1644 <td class="paramname"><em>memoryManager</em>&#160;</td>
1645 </tr>
1646 <tr>
1647 <td></td>
1648 <td>)</td>
1649 <td></td><td></td>
1650 </tr>
1651 </table>
1652</div><div class="memdoc">
1653
1654<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02635">2635</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1655
1656<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01135">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">IWorkloadFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00115">ConcatQueueDescriptor::m_ViewOrigins</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult&lt; T, n &gt;::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">IWorkloadFactory::SupportsSubTensors()</a>.</p>
1657<div class="fragment"><div class="line"><a name="l02638"></a><span class="lineno"> 2638</span>&#160;{</div><div class="line"><a name="l02639"></a><span class="lineno"> 2639</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l02640"></a><span class="lineno"> 2640</span>&#160;</div><div class="line"><a name="l02641"></a><span class="lineno"> 2641</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = 3;</div><div class="line"><a name="l02642"></a><span class="lineno"> 2642</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = 6;</div><div class="line"><a name="l02643"></a><span class="lineno"> 2643</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = 3;</div><div class="line"><a name="l02644"></a><span class="lineno"> 2644</span>&#160;</div><div class="line"><a name="l02645"></a><span class="lineno"> 2645</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth1 = 3;</div><div class="line"><a name="l02646"></a><span class="lineno"> 2646</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight1 = 6;</div><div class="line"><a name="l02647"></a><span class="lineno"> 2647</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels1 = 2;</div><div class="line"><a name="l02648"></a><span class="lineno"> 2648</span>&#160;</div><div class="line"><a name="l02649"></a><span class="lineno"> 2649</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth2 = 3;</div><div class="line"><a name="l02650"></a><span class="lineno"> 2650</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight2 = 6;</div><div class="line"><a name="l02651"></a><span class="lineno"> 2651</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels2 = 1;</div><div class="line"><a name="l02652"></a><span class="lineno"> 2652</span>&#160;</div><div class="line"><a name="l02653"></a><span class="lineno"> 2653</span>&#160; <span class="comment">// Defines the tensor descriptors.</span></div><div class="line"><a name="l02654"></a><span class="lineno"> 2654</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo({ outputChannels, outputHeight, outputWidth }, DataType::QSymmS16);</div><div class="line"><a name="l02655"></a><span class="lineno"> 2655</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, DataType::QSymmS16);</div><div class="line"><a name="l02656"></a><span class="lineno"> 2656</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, DataType::QSymmS16);</div><div class="line"><a name="l02657"></a><span class="lineno"> 2657</span>&#160;</div><div class="line"><a name="l02658"></a><span class="lineno"> 2658</span>&#160; <span class="comment">// Arbitrary scale and offsets. 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1, 2, 3,</div><div class="line"><a name="l02674"></a><span class="lineno"> 2674</span>&#160; 4, 5, 6,</div><div class="line"><a name="l02675"></a><span class="lineno"> 2675</span>&#160; 7, 8, 9,</div><div class="line"><a name="l02676"></a><span class="lineno"> 2676</span>&#160; 10, 11, 12,</div><div class="line"><a name="l02677"></a><span class="lineno"> 2677</span>&#160; 13, 14, 15,</div><div class="line"><a name="l02678"></a><span class="lineno"> 2678</span>&#160; 16, 17, 18,</div><div class="line"><a name="l02679"></a><span class="lineno"> 2679</span>&#160;</div><div class="line"><a name="l02680"></a><span class="lineno"> 2680</span>&#160; 19, 20, 21,</div><div class="line"><a name="l02681"></a><span class="lineno"> 2681</span>&#160; 22, 23, 24,</div><div class="line"><a name="l02682"></a><span class="lineno"> 2682</span>&#160; 25, 26, 27,</div><div class="line"><a name="l02683"></a><span class="lineno"> 2683</span>&#160; 28, 29, 30,</div><div class="line"><a name="l02684"></a><span class="lineno"> 2684</span>&#160; 31, 32, 33,</div><div class="line"><a name="l02685"></a><span class="lineno"> 2685</span>&#160; 34, 35, 36,</div><div class="line"><a name="l02686"></a><span class="lineno"> 2686</span>&#160;</div><div class="line"><a name="l02687"></a><span class="lineno"> 2687</span>&#160; 37, 38, 39,</div><div class="line"><a name="l02688"></a><span class="lineno"> 2688</span>&#160; 40, 41, 42,</div><div class="line"><a name="l02689"></a><span class="lineno"> 2689</span>&#160; 43, 44, 45,</div><div class="line"><a name="l02690"></a><span class="lineno"> 2690</span>&#160; 46, 47, 48,</div><div class="line"><a name="l02691"></a><span class="lineno"> 2691</span>&#160; 49, 50, 51,</div><div class="line"><a name="l02692"></a><span class="lineno"> 2692</span>&#160; 52, 53, 54,</div><div class="line"><a name="l02693"></a><span class="lineno"> 2693</span>&#160; }));</div><div class="line"><a name="l02694"></a><span class="lineno"> 2694</span>&#160;</div><div class="line"><a name="l02695"></a><span class="lineno"> 2695</span>&#160; <span class="keyword">auto</span> input1 = MakeTensor&lt;uint16_t, 3&gt;(inputTensorInfo1, std::vector&lt;uint16_t&gt;(</div><div class="line"><a name="l02696"></a><span class="lineno"> 2696</span>&#160; {</div><div class="line"><a name="l02697"></a><span class="lineno"> 2697</span>&#160; 1, 2, 3,</div><div class="line"><a name="l02698"></a><span class="lineno"> 2698</span>&#160; 4, 5, 6,</div><div class="line"><a name="l02699"></a><span class="lineno"> 2699</span>&#160; 7, 8, 9,</div><div class="line"><a name="l02700"></a><span class="lineno"> 2700</span>&#160; 10, 11, 12,</div><div class="line"><a name="l02701"></a><span class="lineno"> 2701</span>&#160; 13, 14, 15,</div><div class="line"><a name="l02702"></a><span class="lineno"> 2702</span>&#160; 16, 17, 18,</div><div class="line"><a name="l02703"></a><span class="lineno"> 2703</span>&#160;</div><div class="line"><a name="l02704"></a><span class="lineno"> 2704</span>&#160; 19, 20, 21,</div><div class="line"><a name="l02705"></a><span class="lineno"> 2705</span>&#160; 22, 23, 24,</div><div class="line"><a name="l02706"></a><span class="lineno"> 2706</span>&#160; 25, 26, 27,</div><div class="line"><a name="l02707"></a><span class="lineno"> 2707</span>&#160; 28, 29, 30,</div><div class="line"><a name="l02708"></a><span class="lineno"> 2708</span>&#160; 31, 32, 33,</div><div class="line"><a name="l02709"></a><span class="lineno"> 2709</span>&#160; 34, 35, 36,</div><div class="line"><a name="l02710"></a><span class="lineno"> 2710</span>&#160; }));</div><div class="line"><a name="l02711"></a><span class="lineno"> 2711</span>&#160;</div><div class="line"><a name="l02712"></a><span class="lineno"> 2712</span>&#160; <span class="keyword">auto</span> input2 = MakeTensor&lt;uint16_t, 3&gt;(inputTensorInfo2, std::vector&lt;uint16_t&gt;(</div><div class="line"><a name="l02713"></a><span class="lineno"> 2713</span>&#160; {</div><div class="line"><a name="l02714"></a><span class="lineno"> 2714</span>&#160; 37, 38, 39,</div><div class="line"><a name="l02715"></a><span class="lineno"> 2715</span>&#160; 40, 41, 42,</div><div class="line"><a name="l02716"></a><span class="lineno"> 2716</span>&#160; 43, 44, 45,</div><div class="line"><a name="l02717"></a><span class="lineno"> 2717</span>&#160; 46, 47, 48,</div><div class="line"><a name="l02718"></a><span class="lineno"> 2718</span>&#160; 49, 50, 51,</div><div class="line"><a name="l02719"></a><span class="lineno"> 2719</span>&#160; 52, 53, 54,</div><div class="line"><a name="l02720"></a><span class="lineno"> 2720</span>&#160; }));</div><div class="line"><a name="l02721"></a><span class="lineno"> 2721</span>&#160;</div><div class="line"><a name="l02722"></a><span class="lineno"> 2722</span>&#160; std::vector&lt;unsigned int&gt; wOrigin1 = { 0, 0, 0 }; <span class="comment">//Extent of the window is defined by size of input[0].</span></div><div class="line"><a name="l02723"></a><span class="lineno"> 2723</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window1(wOrigin1);</div><div class="line"><a name="l02724"></a><span class="lineno"> 2724</span>&#160;</div><div class="line"><a name="l02725"></a><span class="lineno"> 2725</span>&#160; std::vector&lt;unsigned int&gt; wOrigin2 = { 2, 0, 0 }; <span class="comment">//Extent of the window is defined by size of input[1].</span></div><div class="line"><a name="l02726"></a><span class="lineno"> 2726</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window2(wOrigin2);</div><div class="line"><a name="l02727"></a><span class="lineno"> 2727</span>&#160;</div><div class="line"><a name="l02728"></a><span class="lineno"> 2728</span>&#160;</div><div class="line"><a name="l02729"></a><span class="lineno"> 2729</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l02730"></a><span class="lineno"> 2730</span>&#160;</div><div class="line"><a name="l02731"></a><span class="lineno"> 2731</span>&#160; <span class="keywordtype">bool</span> subTensorsSupported = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">SupportsSubTensors</a>();</div><div class="line"><a name="l02732"></a><span class="lineno"> 2732</span>&#160;</div><div class="line"><a name="l02733"></a><span class="lineno"> 2733</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; inputHandle1 =</div><div class="line"><a name="l02734"></a><span class="lineno"> 2734</span>&#160; subTensorsSupported ?</div><div class="line"><a name="l02735"></a><span class="lineno"> 2735</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :</div><div class="line"><a name="l02736"></a><span class="lineno"> 2736</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l02737"></a><span class="lineno"> 2737</span>&#160;</div><div class="line"><a name="l02738"></a><span class="lineno"> 2738</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; inputHandle2 =</div><div class="line"><a name="l02739"></a><span class="lineno"> 2739</span>&#160; subTensorsSupported ?</div><div class="line"><a name="l02740"></a><span class="lineno"> 2740</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :</div><div class="line"><a name="l02741"></a><span class="lineno"> 2741</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l02742"></a><span class="lineno"> 2742</span>&#160;</div><div class="line"><a name="l02743"></a><span class="lineno"> 2743</span>&#160;</div><div class="line"><a name="l02744"></a><span class="lineno"> 2744</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> data;</div><div class="line"><a name="l02745"></a><span class="lineno"> 2745</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l02746"></a><span class="lineno"> 2746</span>&#160; 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std::unique_ptr&lt;IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">CreateConcat</a>(data, info);</div><div class="line"><a name="l02754"></a><span class="lineno"> 2754</span>&#160;</div><div class="line"><a name="l02755"></a><span class="lineno"> 2755</span>&#160; inputHandle1-&gt;Allocate();</div><div class="line"><a name="l02756"></a><span class="lineno"> 2756</span>&#160; inputHandle2-&gt;Allocate();</div><div class="line"><a name="l02757"></a><span class="lineno"> 2757</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l02758"></a><span class="lineno"> 2758</span>&#160;</div><div class="line"><a name="l02759"></a><span class="lineno"> 2759</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), &amp;input1[0][0][0]);</div><div class="line"><a name="l02760"></a><span class="lineno"> 2760</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle2.get(), &amp;input2[0][0][0]);</div><div class="line"><a name="l02761"></a><span class="lineno"> 2761</span>&#160;</div><div class="line"><a name="l02762"></a><span class="lineno"> 2762</span>&#160; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l02763"></a><span class="lineno"> 2763</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l02764"></a><span class="lineno"> 2764</span>&#160;</div><div class="line"><a name="l02765"></a><span class="lineno"> 2765</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;ret.output[0][0][0], outputHandle.get());</div><div class="line"><a name="l02766"></a><span class="lineno"> 2766</span>&#160;</div><div class="line"><a name="l02767"></a><span class="lineno"> 2767</span>&#160; <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l02768"></a><span class="lineno"> 2768</span>&#160;}</div><div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">armnn::ConcatQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00104">WorkloadData.hpp:104</a></div></div>
1658<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
1659<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">armnn::IWorkloadFactory::CreateSubTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateSubTensorHandle(ITensorHandle &amp;parent, TensorShape const &amp;subTensorShape, unsigned int const *subTensorOrigin) const =0</div></div>
1660<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
1661<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00102">WorkloadData.hpp:102</a></div></div>
1662<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a32bb8d6cf5fc028bf501252767c08b21"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">armnn::IWorkloadFactory::CreateConcat</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateConcat(const ConcatQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01135">WorkloadFactory.cpp:1135</a></div></div>
1663<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">armnn::ConcatQueueDescriptor::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.xhtml#l00115">WorkloadData.hpp:115</a></div></div>
1664<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00259">Tensor.cpp:259</a></div></div>
1665<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div>
1666<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
1667<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
1668<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
1669<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div>
1670<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div>
1671<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a37f4eba7877deb34f4d8d64c9bcb9ab5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">armnn::IWorkloadFactory::SupportsSubTensors</a></div><div class="ttdeci">virtual bool SupportsSubTensors() const =0</div></div>
1672</div><!-- fragment -->
1673</div>
1674</div>
1675<a id="a0d04be116485accf470201e79ea225d5"></a>
1676<h2 class="memtitle"><span class="permalink"><a href="#a0d04be116485accf470201e79ea225d5">&#9670;&nbsp;</a></span>ConcatUint8DifferentQParamsTest()</h2>
1677
1678<div class="memitem">
1679<div class="memproto">
1680 <table class="memname">
1681 <tr>
1682 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 3&gt; ConcatUint8DifferentQParamsTest </td>
1683 <td>(</td>
1684 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1685 <td class="paramname"><em>workloadFactory</em>, </td>
1686 </tr>
1687 <tr>
1688 <td class="paramkey"></td>
1689 <td></td>
1690 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1691 <td class="paramname"><em>memoryManager</em>&#160;</td>
1692 </tr>
1693 <tr>
1694 <td></td>
1695 <td>)</td>
1696 <td></td><td></td>
1697 </tr>
1698 </table>
1699</div><div class="memdoc">
1700
1701<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02352">2352</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1702
1703<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01135">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">IWorkloadFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00115">ConcatQueueDescriptor::m_ViewOrigins</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult&lt; T, n &gt;::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">IWorkloadFactory::SupportsSubTensors()</a>.</p>
1704<div class="fragment"><div class="line"><a name="l02355"></a><span class="lineno"> 2355</span>&#160;{</div><div class="line"><a name="l02356"></a><span class="lineno"> 2356</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l02357"></a><span class="lineno"> 2357</span>&#160;</div><div class="line"><a name="l02358"></a><span class="lineno"> 2358</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = 3;</div><div class="line"><a name="l02359"></a><span class="lineno"> 2359</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = 6;</div><div class="line"><a name="l02360"></a><span class="lineno"> 2360</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = 3;</div><div class="line"><a name="l02361"></a><span class="lineno"> 2361</span>&#160;</div><div class="line"><a name="l02362"></a><span class="lineno"> 2362</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth1 = 3;</div><div class="line"><a name="l02363"></a><span class="lineno"> 2363</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight1 = 6;</div><div class="line"><a name="l02364"></a><span class="lineno"> 2364</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels1 = 2;</div><div class="line"><a name="l02365"></a><span class="lineno"> 2365</span>&#160;</div><div class="line"><a name="l02366"></a><span class="lineno"> 2366</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth2 = 3;</div><div class="line"><a name="l02367"></a><span class="lineno"> 2367</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight2 = 6;</div><div class="line"><a name="l02368"></a><span class="lineno"> 2368</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels2 = 1;</div><div class="line"><a name="l02369"></a><span class="lineno"> 2369</span>&#160;</div><div class="line"><a name="l02370"></a><span class="lineno"> 2370</span>&#160; <span class="comment">// Defines the tensor descriptors.</span></div><div class="line"><a name="l02371"></a><span class="lineno"> 2371</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo({ outputChannels, outputHeight, outputWidth }, DataType::QAsymmU8);</div><div class="line"><a name="l02372"></a><span class="lineno"> 2372</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, DataType::QAsymmU8);</div><div class="line"><a name="l02373"></a><span class="lineno"> 2373</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, DataType::QAsymmU8);</div><div class="line"><a name="l02374"></a><span class="lineno"> 2374</span>&#160;</div><div class="line"><a name="l02375"></a><span class="lineno"> 2375</span>&#160; <span class="comment">// Quantized input1 tensor. Range [-3, 1]</span></div><div class="line"><a name="l02376"></a><span class="lineno"> 2376</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> inputScale1 = 0.015686f;</div><div class="line"><a name="l02377"></a><span class="lineno"> 2377</span>&#160; <span class="keyword">const</span> int32_t inputOffset1 = 192;</div><div class="line"><a name="l02378"></a><span class="lineno"> 2378</span>&#160;</div><div class="line"><a name="l02379"></a><span class="lineno"> 2379</span>&#160; <span class="keyword">auto</span> input1 = MakeTensor&lt;uint8_t, 3&gt;(inputTensorInfo1, std::vector&lt;uint8_t&gt;(</div><div class="line"><a name="l02380"></a><span class="lineno"> 2380</span>&#160; {</div><div class="line"><a name="l02381"></a><span class="lineno"> 2381</span>&#160; 1, 2, 3,</div><div class="line"><a name="l02382"></a><span class="lineno"> 2382</span>&#160; 4, 5, 6,</div><div class="line"><a name="l02383"></a><span class="lineno"> 2383</span>&#160; 7, 8, 9,</div><div class="line"><a name="l02384"></a><span class="lineno"> 2384</span>&#160; 10, 11, 12,</div><div class="line"><a name="l02385"></a><span class="lineno"> 2385</span>&#160; 13, 14, 15,</div><div class="line"><a name="l02386"></a><span class="lineno"> 2386</span>&#160; 16, 17, 18,</div><div class="line"><a name="l02387"></a><span class="lineno"> 2387</span>&#160;</div><div class="line"><a name="l02388"></a><span class="lineno"> 2388</span>&#160; 19, 20, 21,</div><div class="line"><a name="l02389"></a><span class="lineno"> 2389</span>&#160; 22, 23, 24,</div><div class="line"><a name="l02390"></a><span class="lineno"> 2390</span>&#160; 25, 26, 27,</div><div class="line"><a name="l02391"></a><span class="lineno"> 2391</span>&#160; 28, 29, 30,</div><div class="line"><a name="l02392"></a><span class="lineno"> 2392</span>&#160; 31, 32, 33,</div><div class="line"><a name="l02393"></a><span class="lineno"> 2393</span>&#160; 34, 35, 36,</div><div class="line"><a name="l02394"></a><span class="lineno"> 2394</span>&#160; })</div><div class="line"><a name="l02395"></a><span class="lineno"> 2395</span>&#160; );</div><div class="line"><a name="l02396"></a><span class="lineno"> 2396</span>&#160;</div><div class="line"><a name="l02397"></a><span class="lineno"> 2397</span>&#160; <span class="comment">// Quatized input2 tensor. Range [-1, 4]</span></div><div class="line"><a name="l02398"></a><span class="lineno"> 2398</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> inputScale2 = 0.019608f;</div><div class="line"><a name="l02399"></a><span class="lineno"> 2399</span>&#160; <span class="keyword">const</span> int32_t inputOffset2 = 50;</div><div class="line"><a name="l02400"></a><span class="lineno"> 2400</span>&#160;</div><div class="line"><a name="l02401"></a><span class="lineno"> 2401</span>&#160; <span class="keyword">auto</span> input2 = MakeTensor&lt;uint8_t, 3&gt;(inputTensorInfo2, std::vector&lt;uint8_t&gt;(</div><div class="line"><a name="l02402"></a><span class="lineno"> 2402</span>&#160; {</div><div class="line"><a name="l02403"></a><span class="lineno"> 2403</span>&#160; 37, 38, 39,</div><div class="line"><a name="l02404"></a><span class="lineno"> 2404</span>&#160; 40, 41, 42,</div><div class="line"><a name="l02405"></a><span class="lineno"> 2405</span>&#160; 43, 44, 45,</div><div class="line"><a name="l02406"></a><span class="lineno"> 2406</span>&#160; 46, 47, 48,</div><div class="line"><a name="l02407"></a><span class="lineno"> 2407</span>&#160; 49, 50, 51,</div><div class="line"><a name="l02408"></a><span class="lineno"> 2408</span>&#160; 52, 53, 54,</div><div class="line"><a name="l02409"></a><span class="lineno"> 2409</span>&#160; })</div><div class="line"><a name="l02410"></a><span class="lineno"> 2410</span>&#160; );</div><div class="line"><a name="l02411"></a><span class="lineno"> 2411</span>&#160;</div><div class="line"><a name="l02412"></a><span class="lineno"> 2412</span>&#160; <span class="comment">// Output has the same quantization parameters than input1,</span></div><div class="line"><a name="l02413"></a><span class="lineno"> 2413</span>&#160; <span class="comment">// so that only the requantization of input2 is required</span></div><div class="line"><a name="l02414"></a><span class="lineno"> 2414</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> outputScale = 0.015686f;</div><div class="line"><a name="l02415"></a><span class="lineno"> 2415</span>&#160; <span class="keyword">const</span> int32_t outputOffset = 192;</div><div class="line"><a name="l02416"></a><span class="lineno"> 2416</span>&#160;</div><div class="line"><a name="l02417"></a><span class="lineno"> 2417</span>&#160; <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;uint8_t, 3&gt;</a> ret(outputTensorInfo);</div><div class="line"><a name="l02418"></a><span class="lineno"> 2418</span>&#160;</div><div class="line"><a name="l02419"></a><span class="lineno"> 2419</span>&#160; ret.outputExpected = MakeTensor&lt;uint8_t, 3&gt;(outputTensorInfo, std::vector&lt;uint8_t&gt;(</div><div class="line"><a name="l02420"></a><span class="lineno"> 2420</span>&#160; {</div><div class="line"><a name="l02421"></a><span class="lineno"> 2421</span>&#160; 1, 2, 3,</div><div class="line"><a name="l02422"></a><span class="lineno"> 2422</span>&#160; 4, 5, 6,</div><div class="line"><a name="l02423"></a><span class="lineno"> 2423</span>&#160; 7, 8, 9,</div><div class="line"><a name="l02424"></a><span class="lineno"> 2424</span>&#160; 10, 11, 12,</div><div class="line"><a name="l02425"></a><span class="lineno"> 2425</span>&#160; 13, 14, 15,</div><div class="line"><a name="l02426"></a><span class="lineno"> 2426</span>&#160; 16, 17, 18,</div><div class="line"><a name="l02427"></a><span class="lineno"> 2427</span>&#160;</div><div class="line"><a name="l02428"></a><span class="lineno"> 2428</span>&#160; 19, 20, 21,</div><div class="line"><a name="l02429"></a><span class="lineno"> 2429</span>&#160; 22, 23, 24,</div><div class="line"><a name="l02430"></a><span class="lineno"> 2430</span>&#160; 25, 26, 27,</div><div class="line"><a name="l02431"></a><span class="lineno"> 2431</span>&#160; 28, 29, 30,</div><div class="line"><a name="l02432"></a><span class="lineno"> 2432</span>&#160; 31, 32, 33,</div><div class="line"><a name="l02433"></a><span class="lineno"> 2433</span>&#160; 34, 35, 36,</div><div class="line"><a name="l02434"></a><span class="lineno"> 2434</span>&#160;</div><div class="line"><a name="l02435"></a><span class="lineno"> 2435</span>&#160; 176, 177, 178,</div><div class="line"><a name="l02436"></a><span class="lineno"> 2436</span>&#160; 179, 181, 182,</div><div class="line"><a name="l02437"></a><span class="lineno"> 2437</span>&#160; 183, 184, 186,</div><div class="line"><a name="l02438"></a><span class="lineno"> 2438</span>&#160; 187, 188, 189,</div><div class="line"><a name="l02439"></a><span class="lineno"> 2439</span>&#160; 191, 192, 193,</div><div class="line"><a name="l02440"></a><span class="lineno"> 2440</span>&#160; 195, 196, 197,</div><div class="line"><a name="l02441"></a><span class="lineno"> 2441</span>&#160; })</div><div class="line"><a name="l02442"></a><span class="lineno"> 2442</span>&#160; );</div><div class="line"><a name="l02443"></a><span class="lineno"> 2443</span>&#160;</div><div class="line"><a name="l02444"></a><span class="lineno"> 2444</span>&#160; outputTensorInfo.SetQuantizationScale(outputScale);</div><div class="line"><a name="l02445"></a><span class="lineno"> 2445</span>&#160; outputTensorInfo.SetQuantizationOffset(outputOffset);</div><div class="line"><a name="l02446"></a><span class="lineno"> 2446</span>&#160; inputTensorInfo1.SetQuantizationScale(inputScale1);</div><div class="line"><a name="l02447"></a><span class="lineno"> 2447</span>&#160; inputTensorInfo1.SetQuantizationOffset(inputOffset1);</div><div class="line"><a name="l02448"></a><span class="lineno"> 2448</span>&#160; inputTensorInfo2.SetQuantizationScale(inputScale2);</div><div class="line"><a name="l02449"></a><span class="lineno"> 2449</span>&#160; inputTensorInfo2.SetQuantizationOffset(inputOffset2);</div><div class="line"><a name="l02450"></a><span class="lineno"> 2450</span>&#160;</div><div class="line"><a name="l02451"></a><span class="lineno"> 2451</span>&#160; std::vector&lt;unsigned int&gt; wOrigin1 = { 0, 0, 0 }; <span class="comment">//Extent of the window is defined by size of input[0].</span></div><div class="line"><a name="l02452"></a><span class="lineno"> 2452</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window1(wOrigin1);</div><div class="line"><a name="l02453"></a><span class="lineno"> 2453</span>&#160;</div><div class="line"><a name="l02454"></a><span class="lineno"> 2454</span>&#160; std::vector&lt;unsigned int&gt; wOrigin2 = { 2, 0, 0 }; <span class="comment">//Extent of the window is defined by size of input[1].</span></div><div class="line"><a name="l02455"></a><span class="lineno"> 2455</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window2(wOrigin2);</div><div class="line"><a name="l02456"></a><span class="lineno"> 2456</span>&#160;</div><div class="line"><a name="l02457"></a><span class="lineno"> 2457</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l02458"></a><span class="lineno"> 2458</span>&#160;</div><div class="line"><a name="l02459"></a><span class="lineno"> 2459</span>&#160; <span class="keywordtype">bool</span> subTensorsSupported = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">SupportsSubTensors</a>();</div><div class="line"><a name="l02460"></a><span class="lineno"> 2460</span>&#160;</div><div class="line"><a name="l02461"></a><span class="lineno"> 2461</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; inputHandle1 =</div><div class="line"><a name="l02462"></a><span class="lineno"> 2462</span>&#160; subTensorsSupported ?</div><div class="line"><a name="l02463"></a><span class="lineno"> 2463</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :</div><div class="line"><a name="l02464"></a><span class="lineno"> 2464</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l02465"></a><span class="lineno"> 2465</span>&#160;</div><div class="line"><a name="l02466"></a><span class="lineno"> 2466</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; inputHandle2 =</div><div class="line"><a name="l02467"></a><span class="lineno"> 2467</span>&#160; subTensorsSupported ?</div><div class="line"><a name="l02468"></a><span class="lineno"> 2468</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :</div><div class="line"><a name="l02469"></a><span class="lineno"> 2469</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l02470"></a><span class="lineno"> 2470</span>&#160;</div><div class="line"><a name="l02471"></a><span class="lineno"> 2471</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> data;</div><div class="line"><a name="l02472"></a><span class="lineno"> 2472</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l02473"></a><span class="lineno"> 2473</span>&#160; AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l02474"></a><span class="lineno"> 2474</span>&#160; AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l02475"></a><span class="lineno"> 2475</span>&#160; AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l02476"></a><span class="lineno"> 2476</span>&#160;</div><div class="line"><a name="l02477"></a><span class="lineno"> 2477</span>&#160; data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window1);</div><div class="line"><a name="l02478"></a><span class="lineno"> 2478</span>&#160; data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window2);</div><div class="line"><a name="l02479"></a><span class="lineno"> 2479</span>&#160;</div><div class="line"><a name="l02480"></a><span class="lineno"> 2480</span>&#160; std::unique_ptr&lt;IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">CreateConcat</a>(data, info);</div><div class="line"><a name="l02481"></a><span class="lineno"> 2481</span>&#160;</div><div class="line"><a name="l02482"></a><span class="lineno"> 2482</span>&#160; inputHandle1-&gt;Allocate();</div><div class="line"><a name="l02483"></a><span class="lineno"> 2483</span>&#160; inputHandle2-&gt;Allocate();</div><div class="line"><a name="l02484"></a><span class="lineno"> 2484</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l02485"></a><span class="lineno"> 2485</span>&#160;</div><div class="line"><a name="l02486"></a><span class="lineno"> 2486</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), &amp;input1[0][0][0]);</div><div class="line"><a name="l02487"></a><span class="lineno"> 2487</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle2.get(), &amp;input2[0][0][0]);</div><div class="line"><a name="l02488"></a><span class="lineno"> 2488</span>&#160;</div><div class="line"><a name="l02489"></a><span class="lineno"> 2489</span>&#160; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l02490"></a><span class="lineno"> 2490</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l02491"></a><span class="lineno"> 2491</span>&#160;</div><div class="line"><a name="l02492"></a><span class="lineno"> 2492</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;ret.output[0][0][0], outputHandle.get());</div><div class="line"><a name="l02493"></a><span class="lineno"> 2493</span>&#160;</div><div class="line"><a name="l02494"></a><span class="lineno"> 2494</span>&#160; <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l02495"></a><span class="lineno"> 2495</span>&#160;}</div><div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">armnn::ConcatQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00104">WorkloadData.hpp:104</a></div></div>
1705<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
1706<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">armnn::IWorkloadFactory::CreateSubTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateSubTensorHandle(ITensorHandle &amp;parent, TensorShape const &amp;subTensorShape, unsigned int const *subTensorOrigin) const =0</div></div>
1707<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
1708<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00102">WorkloadData.hpp:102</a></div></div>
1709<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a32bb8d6cf5fc028bf501252767c08b21"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">armnn::IWorkloadFactory::CreateConcat</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateConcat(const ConcatQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01135">WorkloadFactory.cpp:1135</a></div></div>
1710<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">armnn::ConcatQueueDescriptor::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.xhtml#l00115">WorkloadData.hpp:115</a></div></div>
1711<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div>
1712<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
1713<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
1714<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
1715<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div>
1716<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div>
1717<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a37f4eba7877deb34f4d8d64c9bcb9ab5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">armnn::IWorkloadFactory::SupportsSubTensors</a></div><div class="ttdeci">virtual bool SupportsSubTensors() const =0</div></div>
1718</div><!-- fragment -->
1719</div>
1720</div>
1721<a id="a19e270fd900e0accead202fcda2b4c41"></a>
1722<h2 class="memtitle"><span class="permalink"><a href="#a19e270fd900e0accead202fcda2b4c41">&#9670;&nbsp;</a></span>ConcatUint8Test()</h2>
1723
1724<div class="memitem">
1725<div class="memproto">
1726 <table class="memname">
1727 <tr>
1728 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 3&gt; ConcatUint8Test </td>
1729 <td>(</td>
1730 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1731 <td class="paramname"><em>workloadFactory</em>, </td>
1732 </tr>
1733 <tr>
1734 <td class="paramkey"></td>
1735 <td></td>
1736 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1737 <td class="paramname"><em>memoryManager</em>&#160;</td>
1738 </tr>
1739 <tr>
1740 <td></td>
1741 <td>)</td>
1742 <td></td><td></td>
1743 </tr>
1744 </table>
1745</div><div class="memdoc">
1746
1747<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l02497">2497</a> of file <a class="el" href="_concat_test_impl_8cpp_source.xhtml">ConcatTestImpl.cpp</a>.</p>
1748
1749<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01135">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">IWorkloadFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00115">ConcatQueueDescriptor::m_ViewOrigins</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult&lt; T, n &gt;::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">IWorkloadFactory::SupportsSubTensors()</a>.</p>
1750<div class="fragment"><div class="line"><a name="l02500"></a><span class="lineno"> 2500</span>&#160;{</div><div class="line"><a name="l02501"></a><span class="lineno"> 2501</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l02502"></a><span class="lineno"> 2502</span>&#160;</div><div class="line"><a name="l02503"></a><span class="lineno"> 2503</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = 3;</div><div class="line"><a name="l02504"></a><span class="lineno"> 2504</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = 6;</div><div class="line"><a name="l02505"></a><span class="lineno"> 2505</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = 3;</div><div class="line"><a name="l02506"></a><span class="lineno"> 2506</span>&#160;</div><div class="line"><a name="l02507"></a><span class="lineno"> 2507</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth1 = 3;</div><div class="line"><a name="l02508"></a><span class="lineno"> 2508</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight1 = 6;</div><div class="line"><a name="l02509"></a><span class="lineno"> 2509</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels1 = 2;</div><div class="line"><a name="l02510"></a><span class="lineno"> 2510</span>&#160;</div><div class="line"><a name="l02511"></a><span class="lineno"> 2511</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth2 = 3;</div><div class="line"><a name="l02512"></a><span class="lineno"> 2512</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight2 = 6;</div><div class="line"><a name="l02513"></a><span class="lineno"> 2513</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels2 = 1;</div><div class="line"><a name="l02514"></a><span class="lineno"> 2514</span>&#160;</div><div class="line"><a name="l02515"></a><span class="lineno"> 2515</span>&#160; <span class="comment">// Defines the tensor descriptors.</span></div><div class="line"><a name="l02516"></a><span class="lineno"> 2516</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo({ outputChannels, outputHeight, outputWidth }, DataType::QAsymmU8);</div><div class="line"><a name="l02517"></a><span class="lineno"> 2517</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, DataType::QAsymmU8);</div><div class="line"><a name="l02518"></a><span class="lineno"> 2518</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, DataType::QAsymmU8);</div><div class="line"><a name="l02519"></a><span class="lineno"> 2519</span>&#160;</div><div class="line"><a name="l02520"></a><span class="lineno"> 2520</span>&#160; <span class="comment">// Arbitrary scale and offsets. 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inputTensorInfo1.SetQuantizationOffset(offset);</div><div class="line"><a name="l02528"></a><span class="lineno"> 2528</span>&#160; inputTensorInfo2.SetQuantizationScale(scale);</div><div class="line"><a name="l02529"></a><span class="lineno"> 2529</span>&#160; inputTensorInfo2.SetQuantizationOffset(offset);</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; <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;uint8_t, 3&gt;</a> ret(outputTensorInfo);</div><div class="line"><a name="l02532"></a><span class="lineno"> 2532</span>&#160;</div><div class="line"><a name="l02533"></a><span class="lineno"> 2533</span>&#160; ret.outputExpected = MakeTensor&lt;uint8_t, 3&gt;(outputTensorInfo, std::vector&lt;uint8_t&gt;(</div><div class="line"><a name="l02534"></a><span class="lineno"> 2534</span>&#160; {</div><div class="line"><a name="l02535"></a><span class="lineno"> 2535</span>&#160; 1, 2, 3,</div><div class="line"><a name="l02536"></a><span class="lineno"> 2536</span>&#160; 4, 5, 6,</div><div class="line"><a name="l02537"></a><span class="lineno"> 2537</span>&#160; 7, 8, 9,</div><div class="line"><a name="l02538"></a><span class="lineno"> 2538</span>&#160; 10, 11, 12,</div><div class="line"><a name="l02539"></a><span class="lineno"> 2539</span>&#160; 13, 14, 15,</div><div class="line"><a name="l02540"></a><span class="lineno"> 2540</span>&#160; 16, 17, 18,</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; 19, 20, 21,</div><div class="line"><a name="l02543"></a><span class="lineno"> 2543</span>&#160; 22, 23, 24,</div><div class="line"><a name="l02544"></a><span class="lineno"> 2544</span>&#160; 25, 26, 27,</div><div class="line"><a name="l02545"></a><span class="lineno"> 2545</span>&#160; 28, 29, 30,</div><div class="line"><a name="l02546"></a><span class="lineno"> 2546</span>&#160; 31, 32, 33,</div><div class="line"><a name="l02547"></a><span class="lineno"> 2547</span>&#160; 34, 35, 36,</div><div class="line"><a name="l02548"></a><span class="lineno"> 2548</span>&#160;</div><div class="line"><a name="l02549"></a><span class="lineno"> 2549</span>&#160; 37, 38, 39,</div><div class="line"><a name="l02550"></a><span class="lineno"> 2550</span>&#160; 40, 41, 42,</div><div class="line"><a name="l02551"></a><span class="lineno"> 2551</span>&#160; 43, 44, 45,</div><div class="line"><a name="l02552"></a><span class="lineno"> 2552</span>&#160; 46, 47, 48,</div><div class="line"><a name="l02553"></a><span class="lineno"> 2553</span>&#160; 49, 50, 51,</div><div class="line"><a name="l02554"></a><span class="lineno"> 2554</span>&#160; 52, 53, 54,</div><div class="line"><a name="l02555"></a><span class="lineno"> 2555</span>&#160; })</div><div class="line"><a name="l02556"></a><span class="lineno"> 2556</span>&#160; );</div><div class="line"><a name="l02557"></a><span class="lineno"> 2557</span>&#160;</div><div class="line"><a name="l02558"></a><span class="lineno"> 2558</span>&#160; <span class="keyword">auto</span> input1 = MakeTensor&lt;uint8_t, 3&gt;(inputTensorInfo1, std::vector&lt;uint8_t&gt;(</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; 1, 2, 3,</div><div class="line"><a name="l02561"></a><span class="lineno"> 2561</span>&#160; 4, 5, 6,</div><div class="line"><a name="l02562"></a><span class="lineno"> 2562</span>&#160; 7, 8, 9,</div><div class="line"><a name="l02563"></a><span class="lineno"> 2563</span>&#160; 10, 11, 12,</div><div class="line"><a name="l02564"></a><span class="lineno"> 2564</span>&#160; 13, 14, 15,</div><div class="line"><a name="l02565"></a><span class="lineno"> 2565</span>&#160; 16, 17, 18,</div><div class="line"><a name="l02566"></a><span class="lineno"> 2566</span>&#160;</div><div class="line"><a name="l02567"></a><span class="lineno"> 2567</span>&#160; 19, 20, 21,</div><div class="line"><a name="l02568"></a><span class="lineno"> 2568</span>&#160; 22, 23, 24,</div><div class="line"><a name="l02569"></a><span class="lineno"> 2569</span>&#160; 25, 26, 27,</div><div class="line"><a name="l02570"></a><span class="lineno"> 2570</span>&#160; 28, 29, 30,</div><div class="line"><a name="l02571"></a><span class="lineno"> 2571</span>&#160; 31, 32, 33,</div><div class="line"><a name="l02572"></a><span class="lineno"> 2572</span>&#160; 34, 35, 36,</div><div class="line"><a name="l02573"></a><span class="lineno"> 2573</span>&#160; })</div><div class="line"><a name="l02574"></a><span class="lineno"> 2574</span>&#160; );</div><div class="line"><a name="l02575"></a><span class="lineno"> 2575</span>&#160;</div><div class="line"><a name="l02576"></a><span class="lineno"> 2576</span>&#160; <span class="keyword">auto</span> input2 = MakeTensor&lt;uint8_t, 3&gt;(inputTensorInfo2, std::vector&lt;uint8_t&gt;(</div><div class="line"><a name="l02577"></a><span class="lineno"> 2577</span>&#160; {</div><div class="line"><a name="l02578"></a><span class="lineno"> 2578</span>&#160; 37, 38, 39,</div><div class="line"><a name="l02579"></a><span class="lineno"> 2579</span>&#160; 40, 41, 42,</div><div class="line"><a name="l02580"></a><span class="lineno"> 2580</span>&#160; 43, 44, 45,</div><div class="line"><a name="l02581"></a><span class="lineno"> 2581</span>&#160; 46, 47, 48,</div><div class="line"><a name="l02582"></a><span class="lineno"> 2582</span>&#160; 49, 50, 51,</div><div class="line"><a name="l02583"></a><span class="lineno"> 2583</span>&#160; 52, 53, 54,</div><div class="line"><a name="l02584"></a><span class="lineno"> 2584</span>&#160; })</div><div class="line"><a name="l02585"></a><span class="lineno"> 2585</span>&#160; );</div><div class="line"><a name="l02586"></a><span class="lineno"> 2586</span>&#160;</div><div class="line"><a name="l02587"></a><span class="lineno"> 2587</span>&#160; std::vector&lt;unsigned int&gt; wOrigin1 = { 0, 0, 0 }; <span class="comment">//Extent of the window is defined by size of input[0].</span></div><div class="line"><a name="l02588"></a><span class="lineno"> 2588</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window1(wOrigin1);</div><div class="line"><a name="l02589"></a><span class="lineno"> 2589</span>&#160;</div><div class="line"><a name="l02590"></a><span class="lineno"> 2590</span>&#160; std::vector&lt;unsigned int&gt; wOrigin2 = { 2, 0, 0 }; <span class="comment">//Extent of the window is defined by size of input[1].</span></div><div class="line"><a name="l02591"></a><span class="lineno"> 2591</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">ConcatQueueDescriptor::ViewOrigin</a> window2(wOrigin2);</div><div class="line"><a name="l02592"></a><span class="lineno"> 2592</span>&#160;</div><div class="line"><a name="l02593"></a><span class="lineno"> 2593</span>&#160;</div><div class="line"><a name="l02594"></a><span class="lineno"> 2594</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l02595"></a><span class="lineno"> 2595</span>&#160;</div><div class="line"><a name="l02596"></a><span class="lineno"> 2596</span>&#160; <span class="keywordtype">bool</span> subTensorsSupported = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">SupportsSubTensors</a>();</div><div class="line"><a name="l02597"></a><span class="lineno"> 2597</span>&#160;</div><div class="line"><a name="l02598"></a><span class="lineno"> 2598</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; inputHandle1 =</div><div class="line"><a name="l02599"></a><span class="lineno"> 2599</span>&#160; subTensorsSupported ?</div><div class="line"><a name="l02600"></a><span class="lineno"> 2600</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :</div><div class="line"><a name="l02601"></a><span class="lineno"> 2601</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l02602"></a><span class="lineno"> 2602</span>&#160;</div><div class="line"><a name="l02603"></a><span class="lineno"> 2603</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; inputHandle2 =</div><div class="line"><a name="l02604"></a><span class="lineno"> 2604</span>&#160; subTensorsSupported ?</div><div class="line"><a name="l02605"></a><span class="lineno"> 2605</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :</div><div class="line"><a name="l02606"></a><span class="lineno"> 2606</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l02607"></a><span class="lineno"> 2607</span>&#160;</div><div class="line"><a name="l02608"></a><span class="lineno"> 2608</span>&#160;</div><div class="line"><a name="l02609"></a><span class="lineno"> 2609</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml">ConcatQueueDescriptor</a> data;</div><div class="line"><a name="l02610"></a><span class="lineno"> 2610</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l02611"></a><span class="lineno"> 2611</span>&#160; AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l02612"></a><span class="lineno"> 2612</span>&#160; AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l02613"></a><span class="lineno"> 2613</span>&#160; AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l02614"></a><span class="lineno"> 2614</span>&#160;</div><div class="line"><a name="l02615"></a><span class="lineno"> 2615</span>&#160; data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window1);</div><div class="line"><a name="l02616"></a><span class="lineno"> 2616</span>&#160; data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window2);</div><div class="line"><a name="l02617"></a><span class="lineno"> 2617</span>&#160;</div><div class="line"><a name="l02618"></a><span class="lineno"> 2618</span>&#160; std::unique_ptr&lt;IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">CreateConcat</a>(data, info);</div><div class="line"><a name="l02619"></a><span class="lineno"> 2619</span>&#160;</div><div class="line"><a name="l02620"></a><span class="lineno"> 2620</span>&#160; inputHandle1-&gt;Allocate();</div><div class="line"><a name="l02621"></a><span class="lineno"> 2621</span>&#160; inputHandle2-&gt;Allocate();</div><div class="line"><a name="l02622"></a><span class="lineno"> 2622</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l02623"></a><span class="lineno"> 2623</span>&#160;</div><div class="line"><a name="l02624"></a><span class="lineno"> 2624</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), &amp;input1[0][0][0]);</div><div class="line"><a name="l02625"></a><span class="lineno"> 2625</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle2.get(), &amp;input2[0][0][0]);</div><div class="line"><a name="l02626"></a><span class="lineno"> 2626</span>&#160;</div><div class="line"><a name="l02627"></a><span class="lineno"> 2627</span>&#160; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l02628"></a><span class="lineno"> 2628</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l02629"></a><span class="lineno"> 2629</span>&#160;</div><div class="line"><a name="l02630"></a><span class="lineno"> 2630</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;ret.output[0][0][0], outputHandle.get());</div><div class="line"><a name="l02631"></a><span class="lineno"> 2631</span>&#160;</div><div class="line"><a name="l02632"></a><span class="lineno"> 2632</span>&#160; <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l02633"></a><span class="lineno"> 2633</span>&#160;}</div><div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.xhtml">armnn::ConcatQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00104">WorkloadData.hpp:104</a></div></div>
1751<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
1752<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ac043991b839903b2ba9da884e4020848">armnn::IWorkloadFactory::CreateSubTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateSubTensorHandle(ITensorHandle &amp;parent, TensorShape const &amp;subTensorShape, unsigned int const *subTensorOrigin) const =0</div></div>
1753<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
1754<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00102">WorkloadData.hpp:102</a></div></div>
1755<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a32bb8d6cf5fc028bf501252767c08b21"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a32bb8d6cf5fc028bf501252767c08b21">armnn::IWorkloadFactory::CreateConcat</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateConcat(const ConcatQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01135">WorkloadFactory.cpp:1135</a></div></div>
1756<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_xhtml_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.xhtml#ab1794eb3e74c9700cd3d500fc06dc2e5">armnn::ConcatQueueDescriptor::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.xhtml#l00115">WorkloadData.hpp:115</a></div></div>
1757<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00259">Tensor.cpp:259</a></div></div>
1758<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div>
1759<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
1760<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
1761<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
1762<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div>
1763<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div>
1764<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a37f4eba7877deb34f4d8d64c9bcb9ab5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a37f4eba7877deb34f4d8d64c9bcb9ab5">armnn::IWorkloadFactory::SupportsSubTensors</a></div><div class="ttdeci">virtual bool SupportsSubTensors() const =0</div></div>
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1773 <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.xhtml">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.xhtml">test</a></li><li class="navelem"><a class="el" href="dir_99a30439342d160875b21dac3498ad7f.xhtml">layerTests</a></li><li class="navelem"><a class="el" href="_concat_test_impl_8hpp.xhtml">ConcatTestImpl.hpp</a></li>
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