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86<div class="title">ConcatTestImpl.hpp File Reference</div> </div>
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89<div class="textblock"><code>#include &quot;<a class="el" href="_layer_test_result_8hpp_source.html">LayerTestResult.hpp</a>&quot;</code><br />
90<code>#include &lt;<a class="el" href="_resolve_type_8hpp_source.html">ResolveType.hpp</a>&gt;</code><br />
91<code>#include &lt;<a class="el" href="_half_8hpp_source.html">Half.hpp</a>&gt;</code><br />
92<code>#include &lt;<a class="el" href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.html">armnn/backends/IBackendInternal.hpp</a>&gt;</code><br />
93<code>#include &lt;<a class="el" href="_workload_factory_8hpp_source.html">backendsCommon/WorkloadFactory.hpp</a>&gt;</code><br />
94</div>
95<p><a href="_concat_test_impl_8hpp_source.html">Go to the source code of this file.</a></p>
96<table class="memberdecls">
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98Functions</h2></td></tr>
99<tr class="memitem:a6e1f3186d22d87b9fd8cd165fc93dd8b"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
100<tr class="memitem:a6e1f3186d22d87b9fd8cd165fc93dd8b"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; T, 3 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_concat_test_impl_8hpp.html#a6e1f3186d22d87b9fd8cd165fc93dd8b">ConcatDifferentInputOutputQParamTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, bool useSubtensor)</td></tr>
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192</table>
193<h2 class="groupheader">Function Documentation</h2>
194<a id="ace6eb1fa88c75ef47905c000aa0504cb"></a>
195<h2 class="memtitle"><span class="permalink"><a href="#ace6eb1fa88c75ef47905c000aa0504cb">&#9670;&nbsp;</a></span>Concat1dTest()</h2>
196
197<div class="memitem">
198<div class="memproto">
199 <table class="memname">
200 <tr>
201 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 1&gt; Concat1dTest </td>
202 <td>(</td>
203 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
204 <td class="paramname"><em>workloadFactory</em>, </td>
205 </tr>
206 <tr>
207 <td class="paramkey"></td>
208 <td></td>
209 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
210 <td class="paramname"><em>memoryManager</em>&#160;</td>
211 </tr>
212 <tr>
213 <td></td>
214 <td>)</td>
215 <td></td><td></td>
216 </tr>
217 </table>
218</div><div class="memdoc">
219
220<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02197">2197</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
221<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 -->
222</div>
223</div>
224<a id="a52902ea9aac566d2c3424832876b659a"></a>
225<h2 class="memtitle"><span class="permalink"><a href="#a52902ea9aac566d2c3424832876b659a">&#9670;&nbsp;</a></span>Concat1dUint8Test()</h2>
226
227<div class="memitem">
228<div class="memproto">
229 <table class="memname">
230 <tr>
231 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 1&gt; Concat1dUint8Test </td>
232 <td>(</td>
233 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
234 <td class="paramname"><em>workloadFactory</em>, </td>
235 </tr>
236 <tr>
237 <td class="paramkey"></td>
238 <td></td>
239 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
240 <td class="paramname"><em>memoryManager</em>&#160;</td>
241 </tr>
242 <tr>
243 <td></td>
244 <td>)</td>
245 <td></td><td></td>
246 </tr>
247 </table>
248</div><div class="memdoc">
249
250<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02763">2763</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
251<div class="fragment"><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> Concat1dTestImpl&lt;DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02768"></a><span class="lineno"> 2768</span>&#160;}</div></div><!-- fragment -->
252</div>
253</div>
254<a id="a00b1147bce3c289666dafbd03115c78e"></a>
255<h2 class="memtitle"><span class="permalink"><a href="#a00b1147bce3c289666dafbd03115c78e">&#9670;&nbsp;</a></span>Concat2dDim0DiffInputDimsTest()</h2>
256
257<div class="memitem">
258<div class="memproto">
259 <table class="memname">
260 <tr>
261 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 2&gt; Concat2dDim0DiffInputDimsTest </td>
262 <td>(</td>
263 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
264 <td class="paramname"><em>workloadFactory</em>, </td>
265 </tr>
266 <tr>
267 <td class="paramkey"></td>
268 <td></td>
269 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
270 <td class="paramname"><em>memoryManager</em>&#160;</td>
271 </tr>
272 <tr>
273 <td></td>
274 <td>)</td>
275 <td></td><td></td>
276 </tr>
277 </table>
278</div><div class="memdoc">
279
280<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02218">2218</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
281<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 -->
282</div>
283</div>
284<a id="aa46834685cb00a736be946761a6b4567"></a>
285<h2 class="memtitle"><span class="permalink"><a href="#aa46834685cb00a736be946761a6b4567">&#9670;&nbsp;</a></span>Concat2dDim0DiffInputDimsUint8Test()</h2>
286
287<div class="memitem">
288<div class="memproto">
289 <table class="memname">
290 <tr>
291 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 2&gt; Concat2dDim0DiffInputDimsUint8Test </td>
292 <td>(</td>
293 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
294 <td class="paramname"><em>workloadFactory</em>, </td>
295 </tr>
296 <tr>
297 <td class="paramkey"></td>
298 <td></td>
299 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
300 <td class="paramname"><em>memoryManager</em>&#160;</td>
301 </tr>
302 <tr>
303 <td></td>
304 <td>)</td>
305 <td></td><td></td>
306 </tr>
307 </table>
308</div><div class="memdoc">
309
310<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02784">2784</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
311<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> Concat2dDim0DiffInputDimsTestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02789"></a><span class="lineno"> 2789</span>&#160; workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02790"></a><span class="lineno"> 2790</span>&#160;}</div></div><!-- fragment -->
312</div>
313</div>
314<a id="a5116ffb2d2ac44c79210f32603098232"></a>
315<h2 class="memtitle"><span class="permalink"><a href="#a5116ffb2d2ac44c79210f32603098232">&#9670;&nbsp;</a></span>Concat2dDim0Test()</h2>
316
317<div class="memitem">
318<div class="memproto">
319 <table class="memname">
320 <tr>
321 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 2&gt; Concat2dDim0Test </td>
322 <td>(</td>
323 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
324 <td class="paramname"><em>workloadFactory</em>, </td>
325 </tr>
326 <tr>
327 <td class="paramkey"></td>
328 <td></td>
329 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
330 <td class="paramname"><em>memoryManager</em>&#160;</td>
331 </tr>
332 <tr>
333 <td></td>
334 <td>)</td>
335 <td></td><td></td>
336 </tr>
337 </table>
338</div><div class="memdoc">
339
340<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02204">2204</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
341<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 -->
342</div>
343</div>
344<a id="a424424f61018121990c0bd7f215ba1a5"></a>
345<h2 class="memtitle"><span class="permalink"><a href="#a424424f61018121990c0bd7f215ba1a5">&#9670;&nbsp;</a></span>Concat2dDim0Uint8Test()</h2>
346
347<div class="memitem">
348<div class="memproto">
349 <table class="memname">
350 <tr>
351 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 2&gt; Concat2dDim0Uint8Test </td>
352 <td>(</td>
353 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
354 <td class="paramname"><em>workloadFactory</em>, </td>
355 </tr>
356 <tr>
357 <td class="paramkey"></td>
358 <td></td>
359 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
360 <td class="paramname"><em>memoryManager</em>&#160;</td>
361 </tr>
362 <tr>
363 <td></td>
364 <td>)</td>
365 <td></td><td></td>
366 </tr>
367 </table>
368</div><div class="memdoc">
369
370<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02770">2770</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
371<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> Concat2dDim0TestImpl&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 -->
372</div>
373</div>
374<a id="aaba4943ba1b775f7cff525e22a9baeab"></a>
375<h2 class="memtitle"><span class="permalink"><a href="#aaba4943ba1b775f7cff525e22a9baeab">&#9670;&nbsp;</a></span>Concat2dDim1DiffInputDimsTest()</h2>
376
377<div class="memitem">
378<div class="memproto">
379 <table class="memname">
380 <tr>
381 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 2&gt; Concat2dDim1DiffInputDimsTest </td>
382 <td>(</td>
383 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
384 <td class="paramname"><em>workloadFactory</em>, </td>
385 </tr>
386 <tr>
387 <td class="paramkey"></td>
388 <td></td>
389 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
390 <td class="paramname"><em>memoryManager</em>&#160;</td>
391 </tr>
392 <tr>
393 <td></td>
394 <td>)</td>
395 <td></td><td></td>
396 </tr>
397 </table>
398</div><div class="memdoc">
399
400<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02225">2225</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
401<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 -->
402</div>
403</div>
404<a id="ad3896522428eb3b6f106cb010910a761"></a>
405<h2 class="memtitle"><span class="permalink"><a href="#ad3896522428eb3b6f106cb010910a761">&#9670;&nbsp;</a></span>Concat2dDim1DiffInputDimsUint8Test()</h2>
406
407<div class="memitem">
408<div class="memproto">
409 <table class="memname">
410 <tr>
411 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 2&gt; Concat2dDim1DiffInputDimsUint8Test </td>
412 <td>(</td>
413 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
414 <td class="paramname"><em>workloadFactory</em>, </td>
415 </tr>
416 <tr>
417 <td class="paramkey"></td>
418 <td></td>
419 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
420 <td class="paramname"><em>memoryManager</em>&#160;</td>
421 </tr>
422 <tr>
423 <td></td>
424 <td>)</td>
425 <td></td><td></td>
426 </tr>
427 </table>
428</div><div class="memdoc">
429
430<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02792">2792</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
431<div class="fragment"><div class="line"><a name="l02795"></a><span class="lineno"> 2795</span>&#160;{</div><div class="line"><a name="l02796"></a><span class="lineno"> 2796</span>&#160; <span class="keywordflow">return</span> Concat2dDim1DiffInputDimsTestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02797"></a><span class="lineno"> 2797</span>&#160; workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02798"></a><span class="lineno"> 2798</span>&#160;}</div></div><!-- fragment -->
432</div>
433</div>
434<a id="a830930b6b71b1556a4694a72a280b9a9"></a>
435<h2 class="memtitle"><span class="permalink"><a href="#a830930b6b71b1556a4694a72a280b9a9">&#9670;&nbsp;</a></span>Concat2dDim1Test()</h2>
436
437<div class="memitem">
438<div class="memproto">
439 <table class="memname">
440 <tr>
441 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 2&gt; Concat2dDim1Test </td>
442 <td>(</td>
443 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
444 <td class="paramname"><em>workloadFactory</em>, </td>
445 </tr>
446 <tr>
447 <td class="paramkey"></td>
448 <td></td>
449 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
450 <td class="paramname"><em>memoryManager</em>&#160;</td>
451 </tr>
452 <tr>
453 <td></td>
454 <td>)</td>
455 <td></td><td></td>
456 </tr>
457 </table>
458</div><div class="memdoc">
459
460<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02211">2211</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
461<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 -->
462</div>
463</div>
464<a id="a7ab301a0e129643c1b26b72d5161c12f"></a>
465<h2 class="memtitle"><span class="permalink"><a href="#a7ab301a0e129643c1b26b72d5161c12f">&#9670;&nbsp;</a></span>Concat2dDim1Uint8Test()</h2>
466
467<div class="memitem">
468<div class="memproto">
469 <table class="memname">
470 <tr>
471 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 2&gt; Concat2dDim1Uint8Test </td>
472 <td>(</td>
473 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
474 <td class="paramname"><em>workloadFactory</em>, </td>
475 </tr>
476 <tr>
477 <td class="paramkey"></td>
478 <td></td>
479 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
480 <td class="paramname"><em>memoryManager</em>&#160;</td>
481 </tr>
482 <tr>
483 <td></td>
484 <td>)</td>
485 <td></td><td></td>
486 </tr>
487 </table>
488</div><div class="memdoc">
489
490<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02777">2777</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
491<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> Concat2dDim1TestImpl&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 -->
492</div>
493</div>
494<a id="aaf9c0655a933d37b9a367e03ec38cace"></a>
495<h2 class="memtitle"><span class="permalink"><a href="#aaf9c0655a933d37b9a367e03ec38cace">&#9670;&nbsp;</a></span>Concat3dDim0DiffInputDimsTest()</h2>
496
497<div class="memitem">
498<div class="memproto">
499 <table class="memname">
500 <tr>
501 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 3&gt; Concat3dDim0DiffInputDimsTest </td>
502 <td>(</td>
503 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
504 <td class="paramname"><em>workloadFactory</em>, </td>
505 </tr>
506 <tr>
507 <td class="paramkey"></td>
508 <td></td>
509 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
510 <td class="paramname"><em>memoryManager</em>&#160;</td>
511 </tr>
512 <tr>
513 <td></td>
514 <td>)</td>
515 <td></td><td></td>
516 </tr>
517 </table>
518</div><div class="memdoc">
519
520<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02254">2254</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
521<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 -->
522</div>
523</div>
524<a id="aa9e2dc53681ecf9ce6af4b06e055688c"></a>
525<h2 class="memtitle"><span class="permalink"><a href="#aa9e2dc53681ecf9ce6af4b06e055688c">&#9670;&nbsp;</a></span>Concat3dDim0DiffInputDimsUint8Test()</h2>
526
527<div class="memitem">
528<div class="memproto">
529 <table class="memname">
530 <tr>
531 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 3&gt; Concat3dDim0DiffInputDimsUint8Test </td>
532 <td>(</td>
533 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
534 <td class="paramname"><em>workloadFactory</em>, </td>
535 </tr>
536 <tr>
537 <td class="paramkey"></td>
538 <td></td>
539 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
540 <td class="paramname"><em>memoryManager</em>&#160;</td>
541 </tr>
542 <tr>
543 <td></td>
544 <td>)</td>
545 <td></td><td></td>
546 </tr>
547 </table>
548</div><div class="memdoc">
549
550<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02823">2823</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
551<div class="fragment"><div class="line"><a name="l02826"></a><span class="lineno"> 2826</span>&#160;{</div><div class="line"><a name="l02827"></a><span class="lineno"> 2827</span>&#160; <span class="keywordflow">return</span> Concat3dDim0TestImpl&lt;DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02828"></a><span class="lineno"> 2828</span>&#160;}</div></div><!-- fragment -->
552</div>
553</div>
554<a id="ac4e3934a8fcb88b2084446fc07a0476d"></a>
555<h2 class="memtitle"><span class="permalink"><a href="#ac4e3934a8fcb88b2084446fc07a0476d">&#9670;&nbsp;</a></span>Concat3dDim0Test()</h2>
556
557<div class="memitem">
558<div class="memproto">
559 <table class="memname">
560 <tr>
561 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 3&gt; Concat3dDim0Test </td>
562 <td>(</td>
563 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
564 <td class="paramname"><em>workloadFactory</em>, </td>
565 </tr>
566 <tr>
567 <td class="paramkey"></td>
568 <td></td>
569 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
570 <td class="paramname"><em>memoryManager</em>&#160;</td>
571 </tr>
572 <tr>
573 <td></td>
574 <td>)</td>
575 <td></td><td></td>
576 </tr>
577 </table>
578</div><div class="memdoc">
579
580<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02232">2232</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
581<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 -->
582</div>
583</div>
584<a id="a9b7209c470ac887960444538aa829df4"></a>
585<h2 class="memtitle"><span class="permalink"><a href="#a9b7209c470ac887960444538aa829df4">&#9670;&nbsp;</a></span>Concat3dDim0Uint8Test()</h2>
586
587<div class="memitem">
588<div class="memproto">
589 <table class="memname">
590 <tr>
591 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 3&gt; Concat3dDim0Uint8Test </td>
592 <td>(</td>
593 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
594 <td class="paramname"><em>workloadFactory</em>, </td>
595 </tr>
596 <tr>
597 <td class="paramkey"></td>
598 <td></td>
599 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
600 <td class="paramname"><em>memoryManager</em>&#160;</td>
601 </tr>
602 <tr>
603 <td></td>
604 <td>)</td>
605 <td></td><td></td>
606 </tr>
607 </table>
608</div><div class="memdoc">
609
610<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02800">2800</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
611<div class="fragment"><div class="line"><a name="l02803"></a><span class="lineno"> 2803</span>&#160;{</div><div class="line"><a name="l02804"></a><span class="lineno"> 2804</span>&#160; <span class="keywordflow">return</span> Concat3dDim0TestImpl&lt;DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02805"></a><span class="lineno"> 2805</span>&#160;}</div></div><!-- fragment -->
612</div>
613</div>
614<a id="a90b656636d7820985cf434daff0bf022"></a>
615<h2 class="memtitle"><span class="permalink"><a href="#a90b656636d7820985cf434daff0bf022">&#9670;&nbsp;</a></span>Concat3dDim1DiffInputDimsTest()</h2>
616
617<div class="memitem">
618<div class="memproto">
619 <table class="memname">
620 <tr>
621 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 3&gt; Concat3dDim1DiffInputDimsTest </td>
622 <td>(</td>
623 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
624 <td class="paramname"><em>workloadFactory</em>, </td>
625 </tr>
626 <tr>
627 <td class="paramkey"></td>
628 <td></td>
629 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
630 <td class="paramname"><em>memoryManager</em>&#160;</td>
631 </tr>
632 <tr>
633 <td></td>
634 <td>)</td>
635 <td></td><td></td>
636 </tr>
637 </table>
638</div><div class="memdoc">
639
640<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02262">2262</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
641<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 -->
642</div>
643</div>
644<a id="aea6832981f16a9ffddd97131d328f268"></a>
645<h2 class="memtitle"><span class="permalink"><a href="#aea6832981f16a9ffddd97131d328f268">&#9670;&nbsp;</a></span>Concat3dDim1DiffInputDimsUint8Test()</h2>
646
647<div class="memitem">
648<div class="memproto">
649 <table class="memname">
650 <tr>
651 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 3&gt; Concat3dDim1DiffInputDimsUint8Test </td>
652 <td>(</td>
653 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
654 <td class="paramname"><em>workloadFactory</em>, </td>
655 </tr>
656 <tr>
657 <td class="paramkey"></td>
658 <td></td>
659 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
660 <td class="paramname"><em>memoryManager</em>&#160;</td>
661 </tr>
662 <tr>
663 <td></td>
664 <td>)</td>
665 <td></td><td></td>
666 </tr>
667 </table>
668</div><div class="memdoc">
669
670<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02830">2830</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
671<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> Concat3dDim1DiffInputDimsTestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02835"></a><span class="lineno"> 2835</span>&#160; workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02836"></a><span class="lineno"> 2836</span>&#160;}</div></div><!-- fragment -->
672</div>
673</div>
674<a id="a7da0598a7223d89fa251ceb391e85bf1"></a>
675<h2 class="memtitle"><span class="permalink"><a href="#a7da0598a7223d89fa251ceb391e85bf1">&#9670;&nbsp;</a></span>Concat3dDim1Test()</h2>
676
677<div class="memitem">
678<div class="memproto">
679 <table class="memname">
680 <tr>
681 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 3&gt; Concat3dDim1Test </td>
682 <td>(</td>
683 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
684 <td class="paramname"><em>workloadFactory</em>, </td>
685 </tr>
686 <tr>
687 <td class="paramkey"></td>
688 <td></td>
689 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
690 <td class="paramname"><em>memoryManager</em>&#160;</td>
691 </tr>
692 <tr>
693 <td></td>
694 <td>)</td>
695 <td></td><td></td>
696 </tr>
697 </table>
698</div><div class="memdoc">
699
700<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02239">2239</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
701<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 -->
702</div>
703</div>
704<a id="a03fdf8bb5372097f715b75b8ccc12dba"></a>
705<h2 class="memtitle"><span class="permalink"><a href="#a03fdf8bb5372097f715b75b8ccc12dba">&#9670;&nbsp;</a></span>Concat3dDim1Uint8Test()</h2>
706
707<div class="memitem">
708<div class="memproto">
709 <table class="memname">
710 <tr>
711 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 3&gt; Concat3dDim1Uint8Test </td>
712 <td>(</td>
713 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
714 <td class="paramname"><em>workloadFactory</em>, </td>
715 </tr>
716 <tr>
717 <td class="paramkey"></td>
718 <td></td>
719 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
720 <td class="paramname"><em>memoryManager</em>&#160;</td>
721 </tr>
722 <tr>
723 <td></td>
724 <td>)</td>
725 <td></td><td></td>
726 </tr>
727 </table>
728</div><div class="memdoc">
729
730<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02807">2807</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
731<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> Concat3dDim1TestImpl&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 -->
732</div>
733</div>
734<a id="a05baeb269bad94f8f037865d4d62eff4"></a>
735<h2 class="memtitle"><span class="permalink"><a href="#a05baeb269bad94f8f037865d4d62eff4">&#9670;&nbsp;</a></span>Concat3dDim2DiffInputDimsTest()</h2>
736
737<div class="memitem">
738<div class="memproto">
739 <table class="memname">
740 <tr>
741 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 3&gt; Concat3dDim2DiffInputDimsTest </td>
742 <td>(</td>
743 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
744 <td class="paramname"><em>workloadFactory</em>, </td>
745 </tr>
746 <tr>
747 <td class="paramkey"></td>
748 <td></td>
749 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
750 <td class="paramname"><em>memoryManager</em>, </td>
751 </tr>
752 <tr>
753 <td class="paramkey"></td>
754 <td></td>
755 <td class="paramtype">bool&#160;</td>
756 <td class="paramname"><em>useSubtensor</em>&#160;</td>
757 </tr>
758 <tr>
759 <td></td>
760 <td>)</td>
761 <td></td><td></td>
762 </tr>
763 </table>
764</div><div class="memdoc">
765
766<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02269">2269</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
767<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 -->
768</div>
769</div>
770<a id="a867f229f80f1228ce240e5a5812ee0ed"></a>
771<h2 class="memtitle"><span class="permalink"><a href="#a867f229f80f1228ce240e5a5812ee0ed">&#9670;&nbsp;</a></span>Concat3dDim2DiffInputDimsUint8Test()</h2>
772
773<div class="memitem">
774<div class="memproto">
775 <table class="memname">
776 <tr>
777 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 3&gt; Concat3dDim2DiffInputDimsUint8Test </td>
778 <td>(</td>
779 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
780 <td class="paramname"><em>workloadFactory</em>, </td>
781 </tr>
782 <tr>
783 <td class="paramkey"></td>
784 <td></td>
785 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
786 <td class="paramname"><em>memoryManager</em>, </td>
787 </tr>
788 <tr>
789 <td class="paramkey"></td>
790 <td></td>
791 <td class="paramtype">bool&#160;</td>
792 <td class="paramname"><em>useSubtensor</em>&#160;</td>
793 </tr>
794 <tr>
795 <td></td>
796 <td>)</td>
797 <td></td><td></td>
798 </tr>
799 </table>
800</div><div class="memdoc">
801
802<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02838">2838</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
803<div class="fragment"><div class="line"><a name="l02842"></a><span class="lineno"> 2842</span>&#160;{</div><div class="line"><a name="l02843"></a><span class="lineno"> 2843</span>&#160; <span class="keywordflow">return</span> Concat3dDim2DiffInputDimsTestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02844"></a><span class="lineno"> 2844</span>&#160; workloadFactory, memoryManager, useSubtensor, 0.5f, -1);</div><div class="line"><a name="l02845"></a><span class="lineno"> 2845</span>&#160;}</div></div><!-- fragment -->
804</div>
805</div>
806<a id="a5d32ff8dbe6f998f7c0707ad94cc7353"></a>
807<h2 class="memtitle"><span class="permalink"><a href="#a5d32ff8dbe6f998f7c0707ad94cc7353">&#9670;&nbsp;</a></span>Concat3dDim2Test()</h2>
808
809<div class="memitem">
810<div class="memproto">
811 <table class="memname">
812 <tr>
813 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 3&gt; Concat3dDim2Test </td>
814 <td>(</td>
815 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
816 <td class="paramname"><em>workloadFactory</em>, </td>
817 </tr>
818 <tr>
819 <td class="paramkey"></td>
820 <td></td>
821 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
822 <td class="paramname"><em>memoryManager</em>, </td>
823 </tr>
824 <tr>
825 <td class="paramkey"></td>
826 <td></td>
827 <td class="paramtype">bool&#160;</td>
828 <td class="paramname"><em>useSubtensor</em>&#160;</td>
829 </tr>
830 <tr>
831 <td></td>
832 <td>)</td>
833 <td></td><td></td>
834 </tr>
835 </table>
836</div><div class="memdoc">
837
838<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02246">2246</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
839<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 -->
840</div>
841</div>
842<a id="a47d14abe1ec27b0306f413d75b35581e"></a>
843<h2 class="memtitle"><span class="permalink"><a href="#a47d14abe1ec27b0306f413d75b35581e">&#9670;&nbsp;</a></span>Concat3dDim2Uint8Test()</h2>
844
845<div class="memitem">
846<div class="memproto">
847 <table class="memname">
848 <tr>
849 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 3&gt; Concat3dDim2Uint8Test </td>
850 <td>(</td>
851 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
852 <td class="paramname"><em>workloadFactory</em>, </td>
853 </tr>
854 <tr>
855 <td class="paramkey"></td>
856 <td></td>
857 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
858 <td class="paramname"><em>memoryManager</em>, </td>
859 </tr>
860 <tr>
861 <td class="paramkey"></td>
862 <td></td>
863 <td class="paramtype">bool&#160;</td>
864 <td class="paramname"><em>useSubtensor</em>&#160;</td>
865 </tr>
866 <tr>
867 <td></td>
868 <td>)</td>
869 <td></td><td></td>
870 </tr>
871 </table>
872</div><div class="memdoc">
873
874<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02814">2814</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
875<div class="fragment"><div class="line"><a name="l02818"></a><span class="lineno"> 2818</span>&#160;{</div><div class="line"><a name="l02819"></a><span class="lineno"> 2819</span>&#160; <span class="keywordflow">return</span> Concat3dDim2TestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02820"></a><span class="lineno"> 2820</span>&#160; workloadFactory, memoryManager, useSubtensor, 0.5f, -1);</div><div class="line"><a name="l02821"></a><span class="lineno"> 2821</span>&#160;}</div></div><!-- fragment -->
876</div>
877</div>
878<a id="ab620ad7838ebacd1a31c4e77f62bdbf1"></a>
879<h2 class="memtitle"><span class="permalink"><a href="#ab620ad7838ebacd1a31c4e77f62bdbf1">&#9670;&nbsp;</a></span>Concat4dDiffShapeDim0Test()</h2>
880
881<div class="memitem">
882<div class="memproto">
883 <table class="memname">
884 <tr>
885 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 4&gt; Concat4dDiffShapeDim0Test </td>
886 <td>(</td>
887 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
888 <td class="paramname"><em>workloadFactory</em>, </td>
889 </tr>
890 <tr>
891 <td class="paramkey"></td>
892 <td></td>
893 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
894 <td class="paramname"><em>memoryManager</em>&#160;</td>
895 </tr>
896 <tr>
897 <td></td>
898 <td>)</td>
899 <td></td><td></td>
900 </tr>
901 </table>
902</div><div class="memdoc">
903
904<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02307">2307</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
905<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 -->
906</div>
907</div>
908<a id="a6ffb413cd06fecd5c83ace0ab940aa2e"></a>
909<h2 class="memtitle"><span class="permalink"><a href="#a6ffb413cd06fecd5c83ace0ab940aa2e">&#9670;&nbsp;</a></span>Concat4dDiffShapeDim0Uint8Test()</h2>
910
911<div class="memitem">
912<div class="memproto">
913 <table class="memname">
914 <tr>
915 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 4&gt; Concat4dDiffShapeDim0Uint8Test </td>
916 <td>(</td>
917 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
918 <td class="paramname"><em>workloadFactory</em>, </td>
919 </tr>
920 <tr>
921 <td class="paramkey"></td>
922 <td></td>
923 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
924 <td class="paramname"><em>memoryManager</em>&#160;</td>
925 </tr>
926 <tr>
927 <td></td>
928 <td>)</td>
929 <td></td><td></td>
930 </tr>
931 </table>
932</div><div class="memdoc">
933
934<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02876">2876</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
935<div class="fragment"><div class="line"><a name="l02879"></a><span class="lineno"> 2879</span>&#160;{</div><div class="line"><a name="l02880"></a><span class="lineno"> 2880</span>&#160; <span class="keywordflow">return</span> Concat4dDiffShapeDim0TestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02881"></a><span class="lineno"> 2881</span>&#160; workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02882"></a><span class="lineno"> 2882</span>&#160;}</div></div><!-- fragment -->
936</div>
937</div>
938<a id="ac3af065e8cbf4dc4eaf5d196e13a2023"></a>
939<h2 class="memtitle"><span class="permalink"><a href="#ac3af065e8cbf4dc4eaf5d196e13a2023">&#9670;&nbsp;</a></span>Concat4dDiffShapeDim1Test()</h2>
940
941<div class="memitem">
942<div class="memproto">
943 <table class="memname">
944 <tr>
945 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 4&gt; Concat4dDiffShapeDim1Test </td>
946 <td>(</td>
947 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
948 <td class="paramname"><em>workloadFactory</em>, </td>
949 </tr>
950 <tr>
951 <td class="paramkey"></td>
952 <td></td>
953 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
954 <td class="paramname"><em>memoryManager</em>&#160;</td>
955 </tr>
956 <tr>
957 <td></td>
958 <td>)</td>
959 <td></td><td></td>
960 </tr>
961 </table>
962</div><div class="memdoc">
963
964<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02314">2314</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
965<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 -->
966</div>
967</div>
968<a id="aa5a76077ad1b8774f9382c7173adf2e9"></a>
969<h2 class="memtitle"><span class="permalink"><a href="#aa5a76077ad1b8774f9382c7173adf2e9">&#9670;&nbsp;</a></span>Concat4dDiffShapeDim1Uint8Test()</h2>
970
971<div class="memitem">
972<div class="memproto">
973 <table class="memname">
974 <tr>
975 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 4&gt; Concat4dDiffShapeDim1Uint8Test </td>
976 <td>(</td>
977 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
978 <td class="paramname"><em>workloadFactory</em>, </td>
979 </tr>
980 <tr>
981 <td class="paramkey"></td>
982 <td></td>
983 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
984 <td class="paramname"><em>memoryManager</em>&#160;</td>
985 </tr>
986 <tr>
987 <td></td>
988 <td>)</td>
989 <td></td><td></td>
990 </tr>
991 </table>
992</div><div class="memdoc">
993
994<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02884">2884</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
995<div class="fragment"><div class="line"><a name="l02887"></a><span class="lineno"> 2887</span>&#160;{</div><div class="line"><a name="l02888"></a><span class="lineno"> 2888</span>&#160; <span class="keywordflow">return</span> Concat4dDiffShapeDim1TestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02889"></a><span class="lineno"> 2889</span>&#160; workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02890"></a><span class="lineno"> 2890</span>&#160;}</div></div><!-- fragment -->
996</div>
997</div>
998<a id="af4358e9d940374a966ab3bcf2133ac1d"></a>
999<h2 class="memtitle"><span class="permalink"><a href="#af4358e9d940374a966ab3bcf2133ac1d">&#9670;&nbsp;</a></span>Concat4dDiffShapeDim2Test()</h2>
1000
1001<div class="memitem">
1002<div class="memproto">
1003 <table class="memname">
1004 <tr>
1005 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 4&gt; Concat4dDiffShapeDim2Test </td>
1006 <td>(</td>
1007 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1008 <td class="paramname"><em>workloadFactory</em>, </td>
1009 </tr>
1010 <tr>
1011 <td class="paramkey"></td>
1012 <td></td>
1013 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1014 <td class="paramname"><em>memoryManager</em>&#160;</td>
1015 </tr>
1016 <tr>
1017 <td></td>
1018 <td>)</td>
1019 <td></td><td></td>
1020 </tr>
1021 </table>
1022</div><div class="memdoc">
1023
1024<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02322">2322</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
1025<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 -->
1026</div>
1027</div>
1028<a id="ad7fb75be2004b540f65e6bb4e2ee0754"></a>
1029<h2 class="memtitle"><span class="permalink"><a href="#ad7fb75be2004b540f65e6bb4e2ee0754">&#9670;&nbsp;</a></span>Concat4dDiffShapeDim2Uint8Test()</h2>
1030
1031<div class="memitem">
1032<div class="memproto">
1033 <table class="memname">
1034 <tr>
1035 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 4&gt; Concat4dDiffShapeDim2Uint8Test </td>
1036 <td>(</td>
1037 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1038 <td class="paramname"><em>workloadFactory</em>, </td>
1039 </tr>
1040 <tr>
1041 <td class="paramkey"></td>
1042 <td></td>
1043 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1044 <td class="paramname"><em>memoryManager</em>&#160;</td>
1045 </tr>
1046 <tr>
1047 <td></td>
1048 <td>)</td>
1049 <td></td><td></td>
1050 </tr>
1051 </table>
1052</div><div class="memdoc">
1053
1054<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02892">2892</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
1055<div class="fragment"><div class="line"><a name="l02895"></a><span class="lineno"> 2895</span>&#160;{</div><div class="line"><a name="l02896"></a><span class="lineno"> 2896</span>&#160; <span class="keywordflow">return</span> Concat4dDiffShapeDim2TestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02897"></a><span class="lineno"> 2897</span>&#160; workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02898"></a><span class="lineno"> 2898</span>&#160;}</div></div><!-- fragment -->
1056</div>
1057</div>
1058<a id="a07d403448ad4d550304727a960b02cf3"></a>
1059<h2 class="memtitle"><span class="permalink"><a href="#a07d403448ad4d550304727a960b02cf3">&#9670;&nbsp;</a></span>Concat4dDiffShapeDim3Test()</h2>
1060
1061<div class="memitem">
1062<div class="memproto">
1063 <table class="memname">
1064 <tr>
1065 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 4&gt; Concat4dDiffShapeDim3Test </td>
1066 <td>(</td>
1067 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1068 <td class="paramname"><em>workloadFactory</em>, </td>
1069 </tr>
1070 <tr>
1071 <td class="paramkey"></td>
1072 <td></td>
1073 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1074 <td class="paramname"><em>memoryManager</em>, </td>
1075 </tr>
1076 <tr>
1077 <td class="paramkey"></td>
1078 <td></td>
1079 <td class="paramtype">bool&#160;</td>
1080 <td class="paramname"><em>useSubtensor</em>&#160;</td>
1081 </tr>
1082 <tr>
1083 <td></td>
1084 <td>)</td>
1085 <td></td><td></td>
1086 </tr>
1087 </table>
1088</div><div class="memdoc">
1089
1090<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02329">2329</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
1091<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 -->
1092</div>
1093</div>
1094<a id="aa1dea5834c12d5826a81b98586ed9d0f"></a>
1095<h2 class="memtitle"><span class="permalink"><a href="#aa1dea5834c12d5826a81b98586ed9d0f">&#9670;&nbsp;</a></span>Concat4dDiffShapeDim3Uint8Test()</h2>
1096
1097<div class="memitem">
1098<div class="memproto">
1099 <table class="memname">
1100 <tr>
1101 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 4&gt; Concat4dDiffShapeDim3Uint8Test </td>
1102 <td>(</td>
1103 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1104 <td class="paramname"><em>workloadFactory</em>, </td>
1105 </tr>
1106 <tr>
1107 <td class="paramkey"></td>
1108 <td></td>
1109 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1110 <td class="paramname"><em>memoryManager</em>, </td>
1111 </tr>
1112 <tr>
1113 <td class="paramkey"></td>
1114 <td></td>
1115 <td class="paramtype">bool&#160;</td>
1116 <td class="paramname"><em>useSubtensor</em>&#160;</td>
1117 </tr>
1118 <tr>
1119 <td></td>
1120 <td>)</td>
1121 <td></td><td></td>
1122 </tr>
1123 </table>
1124</div><div class="memdoc">
1125
1126<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02900">2900</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
1127<div class="fragment"><div class="line"><a name="l02904"></a><span class="lineno"> 2904</span>&#160;{</div><div class="line"><a name="l02905"></a><span class="lineno"> 2905</span>&#160; <span class="keywordflow">return</span> Concat4dDiffShapeDim3TestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02906"></a><span class="lineno"> 2906</span>&#160; workloadFactory, memoryManager, 0.5f, -1, useSubtensor);</div><div class="line"><a name="l02907"></a><span class="lineno"> 2907</span>&#160;}</div></div><!-- fragment -->
1128</div>
1129</div>
1130<a id="a91909169e8ab38ece6d0f6ae0f1be139"></a>
1131<h2 class="memtitle"><span class="permalink"><a href="#a91909169e8ab38ece6d0f6ae0f1be139">&#9670;&nbsp;</a></span>Concat4dDim0Test()</h2>
1132
1133<div class="memitem">
1134<div class="memproto">
1135 <table class="memname">
1136 <tr>
1137 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 4&gt; Concat4dDim0Test </td>
1138 <td>(</td>
1139 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1140 <td class="paramname"><em>workloadFactory</em>, </td>
1141 </tr>
1142 <tr>
1143 <td class="paramkey"></td>
1144 <td></td>
1145 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1146 <td class="paramname"><em>memoryManager</em>&#160;</td>
1147 </tr>
1148 <tr>
1149 <td></td>
1150 <td>)</td>
1151 <td></td><td></td>
1152 </tr>
1153 </table>
1154</div><div class="memdoc">
1155
1156<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02278">2278</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
1157<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 -->
1158</div>
1159</div>
1160<a id="a29fe68dfe18a76f541eb50788ce4e3ea"></a>
1161<h2 class="memtitle"><span class="permalink"><a href="#a29fe68dfe18a76f541eb50788ce4e3ea">&#9670;&nbsp;</a></span>Concat4dDim0Uint8Test()</h2>
1162
1163<div class="memitem">
1164<div class="memproto">
1165 <table class="memname">
1166 <tr>
1167 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 4&gt; Concat4dDim0Uint8Test </td>
1168 <td>(</td>
1169 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1170 <td class="paramname"><em>workloadFactory</em>, </td>
1171 </tr>
1172 <tr>
1173 <td class="paramkey"></td>
1174 <td></td>
1175 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1176 <td class="paramname"><em>memoryManager</em>&#160;</td>
1177 </tr>
1178 <tr>
1179 <td></td>
1180 <td>)</td>
1181 <td></td><td></td>
1182 </tr>
1183 </table>
1184</div><div class="memdoc">
1185
1186<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02847">2847</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
1187<div class="fragment"><div class="line"><a name="l02850"></a><span class="lineno"> 2850</span>&#160;{</div><div class="line"><a name="l02851"></a><span class="lineno"> 2851</span>&#160; <span class="keywordflow">return</span> Concat4dDim0TestImpl&lt;DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 0.5f, -1);</div><div class="line"><a name="l02852"></a><span class="lineno"> 2852</span>&#160;}</div></div><!-- fragment -->
1188</div>
1189</div>
1190<a id="aa0feb9fa1760053d01b12fdc1e07f332"></a>
1191<h2 class="memtitle"><span class="permalink"><a href="#aa0feb9fa1760053d01b12fdc1e07f332">&#9670;&nbsp;</a></span>Concat4dDim1Test()</h2>
1192
1193<div class="memitem">
1194<div class="memproto">
1195 <table class="memname">
1196 <tr>
1197 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 4&gt; Concat4dDim1Test </td>
1198 <td>(</td>
1199 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1200 <td class="paramname"><em>workloadFactory</em>, </td>
1201 </tr>
1202 <tr>
1203 <td class="paramkey"></td>
1204 <td></td>
1205 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1206 <td class="paramname"><em>memoryManager</em>&#160;</td>
1207 </tr>
1208 <tr>
1209 <td></td>
1210 <td>)</td>
1211 <td></td><td></td>
1212 </tr>
1213 </table>
1214</div><div class="memdoc">
1215
1216<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02285">2285</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
1217<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 -->
1218</div>
1219</div>
1220<a id="a03be5345933e2183ccea0b4bdf760bc3"></a>
1221<h2 class="memtitle"><span class="permalink"><a href="#a03be5345933e2183ccea0b4bdf760bc3">&#9670;&nbsp;</a></span>Concat4dDim1Uint8Test()</h2>
1222
1223<div class="memitem">
1224<div class="memproto">
1225 <table class="memname">
1226 <tr>
1227 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 4&gt; Concat4dDim1Uint8Test </td>
1228 <td>(</td>
1229 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1230 <td class="paramname"><em>workloadFactory</em>, </td>
1231 </tr>
1232 <tr>
1233 <td class="paramkey"></td>
1234 <td></td>
1235 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1236 <td class="paramname"><em>memoryManager</em>&#160;</td>
1237 </tr>
1238 <tr>
1239 <td></td>
1240 <td>)</td>
1241 <td></td><td></td>
1242 </tr>
1243 </table>
1244</div><div class="memdoc">
1245
1246<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02854">2854</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
1247<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> Concat4dDim1TestImpl&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 -->
1248</div>
1249</div>
1250<a id="a8fadb9250b570b73971c9e766b5602b3"></a>
1251<h2 class="memtitle"><span class="permalink"><a href="#a8fadb9250b570b73971c9e766b5602b3">&#9670;&nbsp;</a></span>Concat4dDim2Test()</h2>
1252
1253<div class="memitem">
1254<div class="memproto">
1255 <table class="memname">
1256 <tr>
1257 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 4&gt; Concat4dDim2Test </td>
1258 <td>(</td>
1259 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1260 <td class="paramname"><em>workloadFactory</em>, </td>
1261 </tr>
1262 <tr>
1263 <td class="paramkey"></td>
1264 <td></td>
1265 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1266 <td class="paramname"><em>memoryManager</em>&#160;</td>
1267 </tr>
1268 <tr>
1269 <td></td>
1270 <td>)</td>
1271 <td></td><td></td>
1272 </tr>
1273 </table>
1274</div><div class="memdoc">
1275
1276<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02292">2292</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
1277<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 -->
1278</div>
1279</div>
1280<a id="acfb1d0401bb61e709639b969165afe4b"></a>
1281<h2 class="memtitle"><span class="permalink"><a href="#acfb1d0401bb61e709639b969165afe4b">&#9670;&nbsp;</a></span>Concat4dDim2Uint8Test()</h2>
1282
1283<div class="memitem">
1284<div class="memproto">
1285 <table class="memname">
1286 <tr>
1287 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 4&gt; Concat4dDim2Uint8Test </td>
1288 <td>(</td>
1289 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1290 <td class="paramname"><em>workloadFactory</em>, </td>
1291 </tr>
1292 <tr>
1293 <td class="paramkey"></td>
1294 <td></td>
1295 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1296 <td class="paramname"><em>memoryManager</em>&#160;</td>
1297 </tr>
1298 <tr>
1299 <td></td>
1300 <td>)</td>
1301 <td></td><td></td>
1302 </tr>
1303 </table>
1304</div><div class="memdoc">
1305
1306<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02861">2861</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
1307<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> Concat4dDim2TestImpl&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 -->
1308</div>
1309</div>
1310<a id="ad08906b01cf2920530d60ac430e0e444"></a>
1311<h2 class="memtitle"><span class="permalink"><a href="#ad08906b01cf2920530d60ac430e0e444">&#9670;&nbsp;</a></span>Concat4dDim3Test()</h2>
1312
1313<div class="memitem">
1314<div class="memproto">
1315 <table class="memname">
1316 <tr>
1317 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 4&gt; Concat4dDim3Test </td>
1318 <td>(</td>
1319 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1320 <td class="paramname"><em>workloadFactory</em>, </td>
1321 </tr>
1322 <tr>
1323 <td class="paramkey"></td>
1324 <td></td>
1325 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1326 <td class="paramname"><em>memoryManager</em>, </td>
1327 </tr>
1328 <tr>
1329 <td class="paramkey"></td>
1330 <td></td>
1331 <td class="paramtype">bool&#160;</td>
1332 <td class="paramname"><em>useSubtensor</em>&#160;</td>
1333 </tr>
1334 <tr>
1335 <td></td>
1336 <td>)</td>
1337 <td></td><td></td>
1338 </tr>
1339 </table>
1340</div><div class="memdoc">
1341
1342<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02299">2299</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
1343<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 -->
1344</div>
1345</div>
1346<a id="a6b98c51a5cba6f48dfdd2410a97f3892"></a>
1347<h2 class="memtitle"><span class="permalink"><a href="#a6b98c51a5cba6f48dfdd2410a97f3892">&#9670;&nbsp;</a></span>Concat4dDim3Uint8Test()</h2>
1348
1349<div class="memitem">
1350<div class="memproto">
1351 <table class="memname">
1352 <tr>
1353 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 4&gt; Concat4dDim3Uint8Test </td>
1354 <td>(</td>
1355 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1356 <td class="paramname"><em>workloadFactory</em>, </td>
1357 </tr>
1358 <tr>
1359 <td class="paramkey"></td>
1360 <td></td>
1361 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1362 <td class="paramname"><em>memoryManager</em>, </td>
1363 </tr>
1364 <tr>
1365 <td class="paramkey"></td>
1366 <td></td>
1367 <td class="paramtype">bool&#160;</td>
1368 <td class="paramname"><em>useSubtensor</em>&#160;</td>
1369 </tr>
1370 <tr>
1371 <td></td>
1372 <td>)</td>
1373 <td></td><td></td>
1374 </tr>
1375 </table>
1376</div><div class="memdoc">
1377
1378<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02868">2868</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
1379<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> Concat4dDim3TestImpl&lt;DataType::QAsymmU8&gt;(</div><div class="line"><a name="l02873"></a><span class="lineno"> 2873</span>&#160; workloadFactory, memoryManager, 0.5f, -1, useSubtensor);</div><div class="line"><a name="l02874"></a><span class="lineno"> 2874</span>&#160;}</div></div><!-- fragment -->
1380</div>
1381</div>
1382<a id="a9a629ac7816072a161966298914ba9c4"></a>
1383<h2 class="memtitle"><span class="permalink"><a href="#a9a629ac7816072a161966298914ba9c4">&#9670;&nbsp;</a></span>ConcatDifferentInputOutputQParamInt16Test()</h2>
1384
1385<div class="memitem">
1386<div class="memproto">
1387 <table class="memname">
1388 <tr>
1389 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;int16_t, 3&gt; ConcatDifferentInputOutputQParamInt16Test </td>
1390 <td>(</td>
1391 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1392 <td class="paramname"><em>workloadFactory</em>, </td>
1393 </tr>
1394 <tr>
1395 <td class="paramkey"></td>
1396 <td></td>
1397 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1398 <td class="paramname"><em>memoryManager</em>, </td>
1399 </tr>
1400 <tr>
1401 <td class="paramkey"></td>
1402 <td></td>
1403 <td class="paramtype">bool&#160;</td>
1404 <td class="paramname"><em>useSubtensor</em>&#160;</td>
1405 </tr>
1406 <tr>
1407 <td></td>
1408 <td>)</td>
1409 <td></td><td></td>
1410 </tr>
1411 </table>
1412</div><div class="memdoc">
1413
1414</div>
1415</div>
1416<a id="a6e1f3186d22d87b9fd8cd165fc93dd8b"></a>
1417<h2 class="memtitle"><span class="permalink"><a href="#a6e1f3186d22d87b9fd8cd165fc93dd8b">&#9670;&nbsp;</a></span>ConcatDifferentInputOutputQParamTest()</h2>
1418
1419<div class="memitem">
1420<div class="memproto">
1421 <table class="memname">
1422 <tr>
1423 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;T, 3&gt; ConcatDifferentInputOutputQParamTest </td>
1424 <td>(</td>
1425 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1426 <td class="paramname"><em>workloadFactory</em>, </td>
1427 </tr>
1428 <tr>
1429 <td class="paramkey"></td>
1430 <td></td>
1431 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1432 <td class="paramname"><em>memoryManager</em>, </td>
1433 </tr>
1434 <tr>
1435 <td class="paramkey"></td>
1436 <td></td>
1437 <td class="paramtype">bool&#160;</td>
1438 <td class="paramname"><em>useSubtensor</em>&#160;</td>
1439 </tr>
1440 <tr>
1441 <td></td>
1442 <td>)</td>
1443 <td></td><td></td>
1444 </tr>
1445 </table>
1446</div><div class="memdoc">
1447
1448<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l01916">1916</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
1449
1450<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l01118">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00242">armnn::CreateDescriptorForConcatenation()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#ac043991b839903b2ba9da884e4020848">IWorkloadFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>, <a class="el" href="_workload_data_8hpp_source.html#l00115">ConcatQueueDescriptor::m_ViewOrigins</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00040">LayerTestResult&lt; T, n &gt;::output</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>, and <a class="el" href="classarmnn_1_1_i_workload_factory.html#a37f4eba7877deb34f4d8d64c9bcb9ab5">IWorkloadFactory::SupportsSubTensors()</a>.</p>
1451<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; boost::ignore_unused(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.html">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.html">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.html">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.html">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.html">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.html">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.html#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.html#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.html#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.html#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.html#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.html#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.html">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.html">OriginsDescriptor</a> desc = <a class="code" href="namespacearmnn.html#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.html#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.html">WorkloadInfo</a> <a class="code" href="namespacearmnn.html#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.html#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.html#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.html#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.html#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.html#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.html#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="namespacearmnn_html_a733ae6b70d0bfa43433c3e7606992328"><div class="ttname"><a href="namespacearmnn.html#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.html#l00242">Descriptors.hpp:242</a></div></div>
1452<div class="ttc" id="_tensor_copy_utils_8cpp_html_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00009">TensorCopyUtils.cpp:9</a></div></div>
1453<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
1454<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div>
1455<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
1456<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#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>
1457<div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div>
1458<div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00014">TensorCopyUtils.cpp:14</a></div></div>
1459<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
1460<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_html_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.html#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.html#l00115">WorkloadData.hpp:115</a></div></div>
1461<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#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>
1462<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a32bb8d6cf5fc028bf501252767c08b21"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#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.html#l01118">WorkloadFactory.cpp:1118</a></div></div>
1463<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a37f4eba7877deb34f4d8d64c9bcb9ab5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a37f4eba7877deb34f4d8d64c9bcb9ab5">armnn::IWorkloadFactory::SupportsSubTensors</a></div><div class="ttdeci">virtual bool SupportsSubTensors() const =0</div></div>
1464<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin_html"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html">armnn::ConcatQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00104">WorkloadData.hpp:104</a></div></div>
1465<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.html">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00102">WorkloadData.hpp:102</a></div></div>
1466<div class="ttc" id="structarmnn_1_1_origins_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer. Descriptor to configure the concatenation process...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00147">Descriptors.hpp:147</a></div></div>
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1471<h2 class="memtitle"><span class="permalink"><a href="#a88b13ea02655c7ab0624f9e96159e7e3">&#9670;&nbsp;</a></span>ConcatDifferentInputOutputQParamUint8Test()</h2>
1472
1473<div class="memitem">
1474<div class="memproto">
1475 <table class="memname">
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1477 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 3&gt; ConcatDifferentInputOutputQParamUint8Test </td>
1478 <td>(</td>
1479 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1480 <td class="paramname"><em>workloadFactory</em>, </td>
1481 </tr>
1482 <tr>
1483 <td class="paramkey"></td>
1484 <td></td>
1485 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1486 <td class="paramname"><em>memoryManager</em>, </td>
1487 </tr>
1488 <tr>
1489 <td class="paramkey"></td>
1490 <td></td>
1491 <td class="paramtype">bool&#160;</td>
1492 <td class="paramname"><em>useSubtensor</em>&#160;</td>
1493 </tr>
1494 <tr>
1495 <td></td>
1496 <td>)</td>
1497 <td></td><td></td>
1498 </tr>
1499 </table>
1500</div><div class="memdoc">
1501
1502</div>
1503</div>
1504<a id="ab3f39ad4780f638a354331009785c4f6"></a>
1505<h2 class="memtitle"><span class="permalink"><a href="#ab3f39ad4780f638a354331009785c4f6">&#9670;&nbsp;</a></span>ConcatFloat16Test()</h2>
1506
1507<div class="memitem">
1508<div class="memproto">
1509 <table class="memname">
1510 <tr>
1511 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;<a class="el" href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>, 3&gt; ConcatFloat16Test </td>
1512 <td>(</td>
1513 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1514 <td class="paramname"><em>workloadFactory</em>, </td>
1515 </tr>
1516 <tr>
1517 <td class="paramkey"></td>
1518 <td></td>
1519 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1520 <td class="paramname"><em>memoryManager</em>&#160;</td>
1521 </tr>
1522 <tr>
1523 <td></td>
1524 <td>)</td>
1525 <td></td><td></td>
1526 </tr>
1527 </table>
1528</div><div class="memdoc">
1529
1530<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02338">2338</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
1531<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 -->
1532</div>
1533</div>
1534<a id="a1349a36c2a1b0d894ba55b6ef2597ca3"></a>
1535<h2 class="memtitle"><span class="permalink"><a href="#a1349a36c2a1b0d894ba55b6ef2597ca3">&#9670;&nbsp;</a></span>ConcatTest()</h2>
1536
1537<div class="memitem">
1538<div class="memproto">
1539 <table class="memname">
1540 <tr>
1541 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 3&gt; ConcatTest </td>
1542 <td>(</td>
1543 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1544 <td class="paramname"><em>workloadFactory</em>, </td>
1545 </tr>
1546 <tr>
1547 <td class="paramkey"></td>
1548 <td></td>
1549 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1550 <td class="paramname"><em>memoryManager</em>&#160;</td>
1551 </tr>
1552 <tr>
1553 <td></td>
1554 <td>)</td>
1555 <td></td><td></td>
1556 </tr>
1557 </table>
1558</div><div class="memdoc">
1559
1560<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02072">2072</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
1561
1562<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l01118">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#ac043991b839903b2ba9da884e4020848">IWorkloadFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_data_8hpp_source.html#l00115">ConcatQueueDescriptor::m_ViewOrigins</a>, and <a class="el" href="classarmnn_1_1_i_workload_factory.html#a37f4eba7877deb34f4d8d64c9bcb9ab5">IWorkloadFactory::SupportsSubTensors()</a>.</p>
1563<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; boost::ignore_unused(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.html">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.html">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.html">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.html">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.html">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.html">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.html#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.html#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.html#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.html#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.html#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.html#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.html">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.html">WorkloadInfo</a> <a class="code" href="namespacearmnn.html#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.html#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.html#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.html#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.html#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.html#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.html#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="_tensor_copy_utils_8cpp_html_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00009">TensorCopyUtils.cpp:9</a></div></div>
1564<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
1565<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
1566<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#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>
1567<div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div>
1568<div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00014">TensorCopyUtils.cpp:14</a></div></div>
1569<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
1570<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_html_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.html#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.html#l00115">WorkloadData.hpp:115</a></div></div>
1571<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#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>
1572<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a32bb8d6cf5fc028bf501252767c08b21"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#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.html#l01118">WorkloadFactory.cpp:1118</a></div></div>
1573<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a37f4eba7877deb34f4d8d64c9bcb9ab5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a37f4eba7877deb34f4d8d64c9bcb9ab5">armnn::IWorkloadFactory::SupportsSubTensors</a></div><div class="ttdeci">virtual bool SupportsSubTensors() const =0</div></div>
1574<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin_html"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html">armnn::ConcatQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00104">WorkloadData.hpp:104</a></div></div>
1575<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.html">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00102">WorkloadData.hpp:102</a></div></div>
1576</div><!-- fragment -->
1577</div>
1578</div>
1579<a id="aa214a90a240582b790648cf6c24607fb"></a>
1580<h2 class="memtitle"><span class="permalink"><a href="#aa214a90a240582b790648cf6c24607fb">&#9670;&nbsp;</a></span>ConcatUint16Test()</h2>
1581
1582<div class="memitem">
1583<div class="memproto">
1584 <table class="memname">
1585 <tr>
1586 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint16_t, 3&gt; ConcatUint16Test </td>
1587 <td>(</td>
1588 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1589 <td class="paramname"><em>workloadFactory</em>, </td>
1590 </tr>
1591 <tr>
1592 <td class="paramkey"></td>
1593 <td></td>
1594 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1595 <td class="paramname"><em>memoryManager</em>&#160;</td>
1596 </tr>
1597 <tr>
1598 <td></td>
1599 <td>)</td>
1600 <td></td><td></td>
1601 </tr>
1602 </table>
1603</div><div class="memdoc">
1604
1605<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02628">2628</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
1606
1607<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l01118">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#ac043991b839903b2ba9da884e4020848">IWorkloadFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_data_8hpp_source.html#l00115">ConcatQueueDescriptor::m_ViewOrigins</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00040">LayerTestResult&lt; T, n &gt;::output</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="_tensor_8cpp_source.html#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="classarmnn_1_1_i_workload_factory.html#a37f4eba7877deb34f4d8d64c9bcb9ab5">IWorkloadFactory::SupportsSubTensors()</a>.</p>
1608<div class="fragment"><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; boost::ignore_unused(memoryManager);</div><div class="line"><a name="l02633"></a><span class="lineno"> 2633</span>&#160;</div><div class="line"><a name="l02634"></a><span class="lineno"> 2634</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = 3;</div><div class="line"><a name="l02635"></a><span class="lineno"> 2635</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = 6;</div><div class="line"><a name="l02636"></a><span class="lineno"> 2636</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = 3;</div><div class="line"><a name="l02637"></a><span class="lineno"> 2637</span>&#160;</div><div class="line"><a name="l02638"></a><span class="lineno"> 2638</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth1 = 3;</div><div class="line"><a name="l02639"></a><span class="lineno"> 2639</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight1 = 6;</div><div class="line"><a name="l02640"></a><span class="lineno"> 2640</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels1 = 2;</div><div class="line"><a name="l02641"></a><span class="lineno"> 2641</span>&#160;</div><div class="line"><a name="l02642"></a><span class="lineno"> 2642</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth2 = 3;</div><div class="line"><a name="l02643"></a><span class="lineno"> 2643</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight2 = 6;</div><div class="line"><a name="l02644"></a><span class="lineno"> 2644</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels2 = 1;</div><div class="line"><a name="l02645"></a><span class="lineno"> 2645</span>&#160;</div><div class="line"><a name="l02646"></a><span class="lineno"> 2646</span>&#160; <span class="comment">// Defines the tensor descriptors.</span></div><div class="line"><a name="l02647"></a><span class="lineno"> 2647</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> outputTensorInfo({ outputChannels, outputHeight, outputWidth }, DataType::QSymmS16);</div><div class="line"><a name="l02648"></a><span class="lineno"> 2648</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, DataType::QSymmS16);</div><div class="line"><a name="l02649"></a><span class="lineno"> 2649</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, DataType::QSymmS16);</div><div class="line"><a name="l02650"></a><span class="lineno"> 2650</span>&#160;</div><div class="line"><a name="l02651"></a><span class="lineno"> 2651</span>&#160; <span class="comment">// Arbitrary scale and offsets. They don&#39;t really matter as the Concat operator doesn&#39;t dequantize/quantize them.</span></div><div class="line"><a name="l02652"></a><span class="lineno"> 2652</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> scale = 0.13497836f;</div><div class="line"><a name="l02653"></a><span class="lineno"> 2653</span>&#160; <span class="keyword">const</span> int32_t offset = -7;</div><div class="line"><a name="l02654"></a><span class="lineno"> 2654</span>&#160;</div><div class="line"><a name="l02655"></a><span class="lineno"> 2655</span>&#160; outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(scale);</div><div class="line"><a name="l02656"></a><span class="lineno"> 2656</span>&#160; outputTensorInfo.SetQuantizationOffset(offset);</div><div class="line"><a name="l02657"></a><span class="lineno"> 2657</span>&#160; inputTensorInfo1.SetQuantizationScale(scale);</div><div class="line"><a name="l02658"></a><span class="lineno"> 2658</span>&#160; inputTensorInfo1.SetQuantizationOffset(offset);</div><div class="line"><a name="l02659"></a><span class="lineno"> 2659</span>&#160; inputTensorInfo2.SetQuantizationScale(scale);</div><div class="line"><a name="l02660"></a><span class="lineno"> 2660</span>&#160; inputTensorInfo2.SetQuantizationOffset(offset);</div><div class="line"><a name="l02661"></a><span class="lineno"> 2661</span>&#160;</div><div class="line"><a name="l02662"></a><span class="lineno"> 2662</span>&#160; <a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;uint16_t, 3&gt;</a> ret(outputTensorInfo);</div><div class="line"><a name="l02663"></a><span class="lineno"> 2663</span>&#160;</div><div class="line"><a name="l02664"></a><span class="lineno"> 2664</span>&#160; ret.outputExpected = MakeTensor&lt;uint16_t, 3&gt;(outputTensorInfo, std::vector&lt;uint16_t&gt;(</div><div class="line"><a name="l02665"></a><span class="lineno"> 2665</span>&#160; {</div><div class="line"><a name="l02666"></a><span class="lineno"> 2666</span>&#160; 1, 2, 3,</div><div class="line"><a name="l02667"></a><span class="lineno"> 2667</span>&#160; 4, 5, 6,</div><div class="line"><a name="l02668"></a><span class="lineno"> 2668</span>&#160; 7, 8, 9,</div><div class="line"><a name="l02669"></a><span class="lineno"> 2669</span>&#160; 10, 11, 12,</div><div class="line"><a name="l02670"></a><span class="lineno"> 2670</span>&#160; 13, 14, 15,</div><div class="line"><a name="l02671"></a><span class="lineno"> 2671</span>&#160; 16, 17, 18,</div><div class="line"><a name="l02672"></a><span class="lineno"> 2672</span>&#160;</div><div class="line"><a name="l02673"></a><span class="lineno"> 2673</span>&#160; 19, 20, 21,</div><div class="line"><a name="l02674"></a><span class="lineno"> 2674</span>&#160; 22, 23, 24,</div><div class="line"><a name="l02675"></a><span class="lineno"> 2675</span>&#160; 25, 26, 27,</div><div class="line"><a name="l02676"></a><span class="lineno"> 2676</span>&#160; 28, 29, 30,</div><div class="line"><a name="l02677"></a><span class="lineno"> 2677</span>&#160; 31, 32, 33,</div><div class="line"><a name="l02678"></a><span class="lineno"> 2678</span>&#160; 34, 35, 36,</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; 37, 38, 39,</div><div class="line"><a name="l02681"></a><span class="lineno"> 2681</span>&#160; 40, 41, 42,</div><div class="line"><a name="l02682"></a><span class="lineno"> 2682</span>&#160; 43, 44, 45,</div><div class="line"><a name="l02683"></a><span class="lineno"> 2683</span>&#160; 46, 47, 48,</div><div class="line"><a name="l02684"></a><span class="lineno"> 2684</span>&#160; 49, 50, 51,</div><div class="line"><a name="l02685"></a><span class="lineno"> 2685</span>&#160; 52, 53, 54,</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;</div><div class="line"><a name="l02688"></a><span class="lineno"> 2688</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="l02689"></a><span class="lineno"> 2689</span>&#160; {</div><div class="line"><a name="l02690"></a><span class="lineno"> 2690</span>&#160; 1, 2, 3,</div><div class="line"><a name="l02691"></a><span class="lineno"> 2691</span>&#160; 4, 5, 6,</div><div class="line"><a name="l02692"></a><span class="lineno"> 2692</span>&#160; 7, 8, 9,</div><div class="line"><a name="l02693"></a><span class="lineno"> 2693</span>&#160; 10, 11, 12,</div><div class="line"><a name="l02694"></a><span class="lineno"> 2694</span>&#160; 13, 14, 15,</div><div class="line"><a name="l02695"></a><span class="lineno"> 2695</span>&#160; 16, 17, 18,</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; 19, 20, 21,</div><div class="line"><a name="l02698"></a><span class="lineno"> 2698</span>&#160; 22, 23, 24,</div><div class="line"><a name="l02699"></a><span class="lineno"> 2699</span>&#160; 25, 26, 27,</div><div class="line"><a name="l02700"></a><span class="lineno"> 2700</span>&#160; 28, 29, 30,</div><div class="line"><a name="l02701"></a><span class="lineno"> 2701</span>&#160; 31, 32, 33,</div><div class="line"><a name="l02702"></a><span class="lineno"> 2702</span>&#160; 34, 35, 36,</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;</div><div class="line"><a name="l02705"></a><span class="lineno"> 2705</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="l02706"></a><span class="lineno"> 2706</span>&#160; {</div><div class="line"><a name="l02707"></a><span class="lineno"> 2707</span>&#160; 37, 38, 39,</div><div class="line"><a name="l02708"></a><span class="lineno"> 2708</span>&#160; 40, 41, 42,</div><div class="line"><a name="l02709"></a><span class="lineno"> 2709</span>&#160; 43, 44, 45,</div><div class="line"><a name="l02710"></a><span class="lineno"> 2710</span>&#160; 46, 47, 48,</div><div class="line"><a name="l02711"></a><span class="lineno"> 2711</span>&#160; 49, 50, 51,</div><div class="line"><a name="l02712"></a><span class="lineno"> 2712</span>&#160; 52, 53, 54,</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;</div><div class="line"><a name="l02715"></a><span class="lineno"> 2715</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="l02716"></a><span class="lineno"> 2716</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html">ConcatQueueDescriptor::ViewOrigin</a> window1(wOrigin1);</div><div class="line"><a name="l02717"></a><span class="lineno"> 2717</span>&#160;</div><div class="line"><a name="l02718"></a><span class="lineno"> 2718</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="l02719"></a><span class="lineno"> 2719</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html">ConcatQueueDescriptor::ViewOrigin</a> window2(wOrigin2);</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::unique_ptr&lt;ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l02723"></a><span class="lineno"> 2723</span>&#160;</div><div class="line"><a name="l02724"></a><span class="lineno"> 2724</span>&#160; <span class="keywordtype">bool</span> subTensorsSupported = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a37f4eba7877deb34f4d8d64c9bcb9ab5">SupportsSubTensors</a>();</div><div class="line"><a name="l02725"></a><span class="lineno"> 2725</span>&#160;</div><div class="line"><a name="l02726"></a><span class="lineno"> 2726</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; inputHandle1 =</div><div class="line"><a name="l02727"></a><span class="lineno"> 2727</span>&#160; subTensorsSupported ?</div><div class="line"><a name="l02728"></a><span class="lineno"> 2728</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :</div><div class="line"><a name="l02729"></a><span class="lineno"> 2729</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo1);</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; std::unique_ptr&lt;ITensorHandle&gt; inputHandle2 =</div><div class="line"><a name="l02732"></a><span class="lineno"> 2732</span>&#160; subTensorsSupported ?</div><div class="line"><a name="l02733"></a><span class="lineno"> 2733</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :</div><div class="line"><a name="l02734"></a><span class="lineno"> 2734</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l02735"></a><span class="lineno"> 2735</span>&#160;</div><div class="line"><a name="l02736"></a><span class="lineno"> 2736</span>&#160;</div><div class="line"><a name="l02737"></a><span class="lineno"> 2737</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor.html">ConcatQueueDescriptor</a> data;</div><div class="line"><a name="l02738"></a><span class="lineno"> 2738</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l02739"></a><span class="lineno"> 2739</span>&#160; AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l02740"></a><span class="lineno"> 2740</span>&#160; AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l02741"></a><span class="lineno"> 2741</span>&#160; AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</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; data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window1);</div><div class="line"><a name="l02744"></a><span class="lineno"> 2744</span>&#160; data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window2);</div><div class="line"><a name="l02745"></a><span class="lineno"> 2745</span>&#160;</div><div class="line"><a name="l02746"></a><span class="lineno"> 2746</span>&#160; std::unique_ptr&lt;IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a32bb8d6cf5fc028bf501252767c08b21">CreateConcat</a>(data, info);</div><div class="line"><a name="l02747"></a><span class="lineno"> 2747</span>&#160;</div><div class="line"><a name="l02748"></a><span class="lineno"> 2748</span>&#160; inputHandle1-&gt;Allocate();</div><div class="line"><a name="l02749"></a><span class="lineno"> 2749</span>&#160; inputHandle2-&gt;Allocate();</div><div class="line"><a name="l02750"></a><span class="lineno"> 2750</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l02751"></a><span class="lineno"> 2751</span>&#160;</div><div class="line"><a name="l02752"></a><span class="lineno"> 2752</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), &amp;input1[0][0][0]);</div><div class="line"><a name="l02753"></a><span class="lineno"> 2753</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle2.get(), &amp;input2[0][0][0]);</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; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l02756"></a><span class="lineno"> 2756</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l02757"></a><span class="lineno"> 2757</span>&#160;</div><div class="line"><a name="l02758"></a><span class="lineno"> 2758</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;ret.output[0][0][0], outputHandle.get());</div><div class="line"><a name="l02759"></a><span class="lineno"> 2759</span>&#160;</div><div class="line"><a name="l02760"></a><span class="lineno"> 2760</span>&#160; <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l02761"></a><span class="lineno"> 2761</span>&#160;}</div><div class="ttc" id="_tensor_copy_utils_8cpp_html_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00009">TensorCopyUtils.cpp:9</a></div></div>
1609<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
1610<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
1611<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#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>
1612<div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div>
1613<div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00014">TensorCopyUtils.cpp:14</a></div></div>
1614<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
1615<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_html_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.html#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.html#l00115">WorkloadData.hpp:115</a></div></div>
1616<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#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>
1617<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a32bb8d6cf5fc028bf501252767c08b21"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#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.html#l01118">WorkloadFactory.cpp:1118</a></div></div>
1618<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a37f4eba7877deb34f4d8d64c9bcb9ab5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a37f4eba7877deb34f4d8d64c9bcb9ab5">armnn::IWorkloadFactory::SupportsSubTensors</a></div><div class="ttdeci">virtual bool SupportsSubTensors() const =0</div></div>
1619<div class="ttc" id="classarmnn_1_1_tensor_info_html_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00259">Tensor.cpp:259</a></div></div>
1620<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin_html"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html">armnn::ConcatQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00104">WorkloadData.hpp:104</a></div></div>
1621<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.html">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00102">WorkloadData.hpp:102</a></div></div>
1622</div><!-- fragment -->
1623</div>
1624</div>
1625<a id="a0d04be116485accf470201e79ea225d5"></a>
1626<h2 class="memtitle"><span class="permalink"><a href="#a0d04be116485accf470201e79ea225d5">&#9670;&nbsp;</a></span>ConcatUint8DifferentQParamsTest()</h2>
1627
1628<div class="memitem">
1629<div class="memproto">
1630 <table class="memname">
1631 <tr>
1632 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 3&gt; ConcatUint8DifferentQParamsTest </td>
1633 <td>(</td>
1634 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1635 <td class="paramname"><em>workloadFactory</em>, </td>
1636 </tr>
1637 <tr>
1638 <td class="paramkey"></td>
1639 <td></td>
1640 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1641 <td class="paramname"><em>memoryManager</em>&#160;</td>
1642 </tr>
1643 <tr>
1644 <td></td>
1645 <td>)</td>
1646 <td></td><td></td>
1647 </tr>
1648 </table>
1649</div><div class="memdoc">
1650
1651<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02345">2345</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
1652
1653<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l01118">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#ac043991b839903b2ba9da884e4020848">IWorkloadFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_data_8hpp_source.html#l00115">ConcatQueueDescriptor::m_ViewOrigins</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00040">LayerTestResult&lt; T, n &gt;::output</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="classarmnn_1_1_i_workload_factory.html#a37f4eba7877deb34f4d8d64c9bcb9ab5">IWorkloadFactory::SupportsSubTensors()</a>.</p>
1654<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; boost::ignore_unused(memoryManager);</div><div class="line"><a name="l02350"></a><span class="lineno"> 2350</span>&#160;</div><div class="line"><a name="l02351"></a><span class="lineno"> 2351</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = 3;</div><div class="line"><a name="l02352"></a><span class="lineno"> 2352</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = 6;</div><div class="line"><a name="l02353"></a><span class="lineno"> 2353</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = 3;</div><div class="line"><a name="l02354"></a><span class="lineno"> 2354</span>&#160;</div><div class="line"><a name="l02355"></a><span class="lineno"> 2355</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth1 = 3;</div><div class="line"><a name="l02356"></a><span class="lineno"> 2356</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight1 = 6;</div><div class="line"><a name="l02357"></a><span class="lineno"> 2357</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels1 = 2;</div><div class="line"><a name="l02358"></a><span class="lineno"> 2358</span>&#160;</div><div class="line"><a name="l02359"></a><span class="lineno"> 2359</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth2 = 3;</div><div class="line"><a name="l02360"></a><span class="lineno"> 2360</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight2 = 6;</div><div class="line"><a name="l02361"></a><span class="lineno"> 2361</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels2 = 1;</div><div class="line"><a name="l02362"></a><span class="lineno"> 2362</span>&#160;</div><div class="line"><a name="l02363"></a><span class="lineno"> 2363</span>&#160; <span class="comment">// Defines the tensor descriptors.</span></div><div class="line"><a name="l02364"></a><span class="lineno"> 2364</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> outputTensorInfo({ outputChannels, outputHeight, outputWidth }, DataType::QAsymmU8);</div><div class="line"><a name="l02365"></a><span class="lineno"> 2365</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, DataType::QAsymmU8);</div><div class="line"><a name="l02366"></a><span class="lineno"> 2366</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, DataType::QAsymmU8);</div><div class="line"><a name="l02367"></a><span class="lineno"> 2367</span>&#160;</div><div class="line"><a name="l02368"></a><span class="lineno"> 2368</span>&#160; <span class="comment">// Quantized input1 tensor. Range [-3, 1]</span></div><div class="line"><a name="l02369"></a><span class="lineno"> 2369</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> inputScale1 = 0.015686f;</div><div class="line"><a name="l02370"></a><span class="lineno"> 2370</span>&#160; <span class="keyword">const</span> int32_t inputOffset1 = 192;</div><div class="line"><a name="l02371"></a><span class="lineno"> 2371</span>&#160;</div><div class="line"><a name="l02372"></a><span class="lineno"> 2372</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="l02373"></a><span class="lineno"> 2373</span>&#160; {</div><div class="line"><a name="l02374"></a><span class="lineno"> 2374</span>&#160; 1, 2, 3,</div><div class="line"><a name="l02375"></a><span class="lineno"> 2375</span>&#160; 4, 5, 6,</div><div class="line"><a name="l02376"></a><span class="lineno"> 2376</span>&#160; 7, 8, 9,</div><div class="line"><a name="l02377"></a><span class="lineno"> 2377</span>&#160; 10, 11, 12,</div><div class="line"><a name="l02378"></a><span class="lineno"> 2378</span>&#160; 13, 14, 15,</div><div class="line"><a name="l02379"></a><span class="lineno"> 2379</span>&#160; 16, 17, 18,</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; 19, 20, 21,</div><div class="line"><a name="l02382"></a><span class="lineno"> 2382</span>&#160; 22, 23, 24,</div><div class="line"><a name="l02383"></a><span class="lineno"> 2383</span>&#160; 25, 26, 27,</div><div class="line"><a name="l02384"></a><span class="lineno"> 2384</span>&#160; 28, 29, 30,</div><div class="line"><a name="l02385"></a><span class="lineno"> 2385</span>&#160; 31, 32, 33,</div><div class="line"><a name="l02386"></a><span class="lineno"> 2386</span>&#160; 34, 35, 36,</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; );</div><div class="line"><a name="l02389"></a><span class="lineno"> 2389</span>&#160;</div><div class="line"><a name="l02390"></a><span class="lineno"> 2390</span>&#160; <span class="comment">// Quatized input2 tensor. Range [-1, 4]</span></div><div class="line"><a name="l02391"></a><span class="lineno"> 2391</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> inputScale2 = 0.019608f;</div><div class="line"><a name="l02392"></a><span class="lineno"> 2392</span>&#160; <span class="keyword">const</span> int32_t inputOffset2 = 50;</div><div class="line"><a name="l02393"></a><span class="lineno"> 2393</span>&#160;</div><div class="line"><a name="l02394"></a><span class="lineno"> 2394</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="l02395"></a><span class="lineno"> 2395</span>&#160; {</div><div class="line"><a name="l02396"></a><span class="lineno"> 2396</span>&#160; 37, 38, 39,</div><div class="line"><a name="l02397"></a><span class="lineno"> 2397</span>&#160; 40, 41, 42,</div><div class="line"><a name="l02398"></a><span class="lineno"> 2398</span>&#160; 43, 44, 45,</div><div class="line"><a name="l02399"></a><span class="lineno"> 2399</span>&#160; 46, 47, 48,</div><div class="line"><a name="l02400"></a><span class="lineno"> 2400</span>&#160; 49, 50, 51,</div><div class="line"><a name="l02401"></a><span class="lineno"> 2401</span>&#160; 52, 53, 54,</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; );</div><div class="line"><a name="l02404"></a><span class="lineno"> 2404</span>&#160;</div><div class="line"><a name="l02405"></a><span class="lineno"> 2405</span>&#160; <span class="comment">// Output has the same quantization parameters than input1,</span></div><div class="line"><a name="l02406"></a><span class="lineno"> 2406</span>&#160; <span class="comment">// so that only the requantization of input2 is required</span></div><div class="line"><a name="l02407"></a><span class="lineno"> 2407</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> outputScale = 0.015686f;</div><div class="line"><a name="l02408"></a><span class="lineno"> 2408</span>&#160; <span class="keyword">const</span> int32_t outputOffset = 192;</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; <a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;uint8_t, 3&gt;</a> ret(outputTensorInfo);</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; ret.outputExpected = MakeTensor&lt;uint8_t, 3&gt;(outputTensorInfo, std::vector&lt;uint8_t&gt;(</div><div class="line"><a name="l02413"></a><span class="lineno"> 2413</span>&#160; {</div><div class="line"><a name="l02414"></a><span class="lineno"> 2414</span>&#160; 1, 2, 3,</div><div class="line"><a name="l02415"></a><span class="lineno"> 2415</span>&#160; 4, 5, 6,</div><div class="line"><a name="l02416"></a><span class="lineno"> 2416</span>&#160; 7, 8, 9,</div><div class="line"><a name="l02417"></a><span class="lineno"> 2417</span>&#160; 10, 11, 12,</div><div class="line"><a name="l02418"></a><span class="lineno"> 2418</span>&#160; 13, 14, 15,</div><div class="line"><a name="l02419"></a><span class="lineno"> 2419</span>&#160; 16, 17, 18,</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; 19, 20, 21,</div><div class="line"><a name="l02422"></a><span class="lineno"> 2422</span>&#160; 22, 23, 24,</div><div class="line"><a name="l02423"></a><span class="lineno"> 2423</span>&#160; 25, 26, 27,</div><div class="line"><a name="l02424"></a><span class="lineno"> 2424</span>&#160; 28, 29, 30,</div><div class="line"><a name="l02425"></a><span class="lineno"> 2425</span>&#160; 31, 32, 33,</div><div class="line"><a name="l02426"></a><span class="lineno"> 2426</span>&#160; 34, 35, 36,</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; 176, 177, 178,</div><div class="line"><a name="l02429"></a><span class="lineno"> 2429</span>&#160; 179, 181, 182,</div><div class="line"><a name="l02430"></a><span class="lineno"> 2430</span>&#160; 183, 184, 186,</div><div class="line"><a name="l02431"></a><span class="lineno"> 2431</span>&#160; 187, 188, 189,</div><div class="line"><a name="l02432"></a><span class="lineno"> 2432</span>&#160; 191, 192, 193,</div><div class="line"><a name="l02433"></a><span class="lineno"> 2433</span>&#160; 195, 196, 197,</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; );</div><div class="line"><a name="l02436"></a><span class="lineno"> 2436</span>&#160;</div><div class="line"><a name="l02437"></a><span class="lineno"> 2437</span>&#160; outputTensorInfo.SetQuantizationScale(outputScale);</div><div class="line"><a name="l02438"></a><span class="lineno"> 2438</span>&#160; outputTensorInfo.SetQuantizationOffset(outputOffset);</div><div class="line"><a name="l02439"></a><span class="lineno"> 2439</span>&#160; inputTensorInfo1.SetQuantizationScale(inputScale1);</div><div class="line"><a name="l02440"></a><span class="lineno"> 2440</span>&#160; inputTensorInfo1.SetQuantizationOffset(inputOffset1);</div><div class="line"><a name="l02441"></a><span class="lineno"> 2441</span>&#160; inputTensorInfo2.SetQuantizationScale(inputScale2);</div><div class="line"><a name="l02442"></a><span class="lineno"> 2442</span>&#160; inputTensorInfo2.SetQuantizationOffset(inputOffset2);</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; 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="l02445"></a><span class="lineno"> 2445</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html">ConcatQueueDescriptor::ViewOrigin</a> window1(wOrigin1);</div><div class="line"><a name="l02446"></a><span class="lineno"> 2446</span>&#160;</div><div class="line"><a name="l02447"></a><span class="lineno"> 2447</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="l02448"></a><span class="lineno"> 2448</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html">ConcatQueueDescriptor::ViewOrigin</a> window2(wOrigin2);</div><div class="line"><a name="l02449"></a><span class="lineno"> 2449</span>&#160;</div><div class="line"><a name="l02450"></a><span class="lineno"> 2450</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l02451"></a><span class="lineno"> 2451</span>&#160;</div><div class="line"><a name="l02452"></a><span class="lineno"> 2452</span>&#160; <span class="keywordtype">bool</span> subTensorsSupported = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a37f4eba7877deb34f4d8d64c9bcb9ab5">SupportsSubTensors</a>();</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; 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workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :</div><div class="line"><a name="l02462"></a><span class="lineno"> 2462</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l02463"></a><span class="lineno"> 2463</span>&#160;</div><div class="line"><a name="l02464"></a><span class="lineno"> 2464</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor.html">ConcatQueueDescriptor</a> data;</div><div class="line"><a name="l02465"></a><span class="lineno"> 2465</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l02466"></a><span class="lineno"> 2466</span>&#160; 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1655<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
1656<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
1657<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#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>
1658<div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div>
1659<div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00014">TensorCopyUtils.cpp:14</a></div></div>
1660<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
1661<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_html_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.html#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.html#l00115">WorkloadData.hpp:115</a></div></div>
1662<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#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>
1663<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a32bb8d6cf5fc028bf501252767c08b21"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#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.html#l01118">WorkloadFactory.cpp:1118</a></div></div>
1664<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a37f4eba7877deb34f4d8d64c9bcb9ab5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a37f4eba7877deb34f4d8d64c9bcb9ab5">armnn::IWorkloadFactory::SupportsSubTensors</a></div><div class="ttdeci">virtual bool SupportsSubTensors() const =0</div></div>
1665<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin_html"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html">armnn::ConcatQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00104">WorkloadData.hpp:104</a></div></div>
1666<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.html">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00102">WorkloadData.hpp:102</a></div></div>
1667</div><!-- fragment -->
1668</div>
1669</div>
1670<a id="a19e270fd900e0accead202fcda2b4c41"></a>
1671<h2 class="memtitle"><span class="permalink"><a href="#a19e270fd900e0accead202fcda2b4c41">&#9670;&nbsp;</a></span>ConcatUint8Test()</h2>
1672
1673<div class="memitem">
1674<div class="memproto">
1675 <table class="memname">
1676 <tr>
1677 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 3&gt; ConcatUint8Test </td>
1678 <td>(</td>
1679 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
1680 <td class="paramname"><em>workloadFactory</em>, </td>
1681 </tr>
1682 <tr>
1683 <td class="paramkey"></td>
1684 <td></td>
1685 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
1686 <td class="paramname"><em>memoryManager</em>&#160;</td>
1687 </tr>
1688 <tr>
1689 <td></td>
1690 <td>)</td>
1691 <td></td><td></td>
1692 </tr>
1693 </table>
1694</div><div class="memdoc">
1695
1696<p class="definition">Definition at line <a class="el" href="_concat_test_impl_8cpp_source.html#l02490">2490</a> of file <a class="el" href="_concat_test_impl_8cpp_source.html">ConcatTestImpl.cpp</a>.</p>
1697
1698<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l01118">IWorkloadFactory::CreateConcat()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#ac043991b839903b2ba9da884e4020848">IWorkloadFactory::CreateSubTensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_workload_data_8hpp_source.html#l00115">ConcatQueueDescriptor::m_ViewOrigins</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00040">LayerTestResult&lt; T, n &gt;::output</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="_tensor_8cpp_source.html#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="classarmnn_1_1_i_workload_factory.html#a37f4eba7877deb34f4d8d64c9bcb9ab5">IWorkloadFactory::SupportsSubTensors()</a>.</p>
1699<div class="fragment"><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; boost::ignore_unused(memoryManager);</div><div class="line"><a name="l02495"></a><span class="lineno"> 2495</span>&#160;</div><div class="line"><a name="l02496"></a><span class="lineno"> 2496</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputWidth = 3;</div><div class="line"><a name="l02497"></a><span class="lineno"> 2497</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputHeight = 6;</div><div class="line"><a name="l02498"></a><span class="lineno"> 2498</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputChannels = 3;</div><div class="line"><a name="l02499"></a><span class="lineno"> 2499</span>&#160;</div><div class="line"><a name="l02500"></a><span class="lineno"> 2500</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth1 = 3;</div><div class="line"><a name="l02501"></a><span class="lineno"> 2501</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight1 = 6;</div><div class="line"><a name="l02502"></a><span class="lineno"> 2502</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels1 = 2;</div><div class="line"><a name="l02503"></a><span class="lineno"> 2503</span>&#160;</div><div class="line"><a name="l02504"></a><span class="lineno"> 2504</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth2 = 3;</div><div class="line"><a name="l02505"></a><span class="lineno"> 2505</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight2 = 6;</div><div class="line"><a name="l02506"></a><span class="lineno"> 2506</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputChannels2 = 1;</div><div class="line"><a name="l02507"></a><span class="lineno"> 2507</span>&#160;</div><div class="line"><a name="l02508"></a><span class="lineno"> 2508</span>&#160; <span class="comment">// Defines the tensor descriptors.</span></div><div class="line"><a name="l02509"></a><span class="lineno"> 2509</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> outputTensorInfo({ outputChannels, outputHeight, outputWidth }, DataType::QAsymmU8);</div><div class="line"><a name="l02510"></a><span class="lineno"> 2510</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, DataType::QAsymmU8);</div><div class="line"><a name="l02511"></a><span class="lineno"> 2511</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, DataType::QAsymmU8);</div><div class="line"><a name="l02512"></a><span class="lineno"> 2512</span>&#160;</div><div class="line"><a name="l02513"></a><span class="lineno"> 2513</span>&#160; <span class="comment">// Arbitrary scale and offsets. They don&#39;t really matter as the Concat operator doesn&#39;t dequantize/quantize them.</span></div><div class="line"><a name="l02514"></a><span class="lineno"> 2514</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> scale = 0.13497836f;</div><div class="line"><a name="l02515"></a><span class="lineno"> 2515</span>&#160; <span class="keyword">const</span> int32_t offset = -7;</div><div class="line"><a name="l02516"></a><span class="lineno"> 2516</span>&#160;</div><div class="line"><a name="l02517"></a><span class="lineno"> 2517</span>&#160; outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(scale);</div><div class="line"><a name="l02518"></a><span class="lineno"> 2518</span>&#160; outputTensorInfo.SetQuantizationOffset(offset);</div><div class="line"><a name="l02519"></a><span class="lineno"> 2519</span>&#160; inputTensorInfo1.SetQuantizationScale(scale);</div><div class="line"><a name="l02520"></a><span class="lineno"> 2520</span>&#160; inputTensorInfo1.SetQuantizationOffset(offset);</div><div class="line"><a name="l02521"></a><span class="lineno"> 2521</span>&#160; inputTensorInfo2.SetQuantizationScale(scale);</div><div class="line"><a name="l02522"></a><span class="lineno"> 2522</span>&#160; inputTensorInfo2.SetQuantizationOffset(offset);</div><div class="line"><a name="l02523"></a><span class="lineno"> 2523</span>&#160;</div><div class="line"><a name="l02524"></a><span class="lineno"> 2524</span>&#160; <a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;uint8_t, 3&gt;</a> ret(outputTensorInfo);</div><div class="line"><a name="l02525"></a><span class="lineno"> 2525</span>&#160;</div><div class="line"><a name="l02526"></a><span class="lineno"> 2526</span>&#160; ret.outputExpected = MakeTensor&lt;uint8_t, 3&gt;(outputTensorInfo, std::vector&lt;uint8_t&gt;(</div><div class="line"><a name="l02527"></a><span class="lineno"> 2527</span>&#160; {</div><div class="line"><a name="l02528"></a><span class="lineno"> 2528</span>&#160; 1, 2, 3,</div><div class="line"><a name="l02529"></a><span class="lineno"> 2529</span>&#160; 4, 5, 6,</div><div class="line"><a name="l02530"></a><span class="lineno"> 2530</span>&#160; 7, 8, 9,</div><div class="line"><a name="l02531"></a><span class="lineno"> 2531</span>&#160; 10, 11, 12,</div><div class="line"><a name="l02532"></a><span class="lineno"> 2532</span>&#160; 13, 14, 15,</div><div class="line"><a name="l02533"></a><span class="lineno"> 2533</span>&#160; 16, 17, 18,</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; 19, 20, 21,</div><div class="line"><a name="l02536"></a><span class="lineno"> 2536</span>&#160; 22, 23, 24,</div><div class="line"><a name="l02537"></a><span class="lineno"> 2537</span>&#160; 25, 26, 27,</div><div class="line"><a name="l02538"></a><span class="lineno"> 2538</span>&#160; 28, 29, 30,</div><div class="line"><a name="l02539"></a><span class="lineno"> 2539</span>&#160; 31, 32, 33,</div><div class="line"><a name="l02540"></a><span class="lineno"> 2540</span>&#160; 34, 35, 36,</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; 37, 38, 39,</div><div class="line"><a name="l02543"></a><span class="lineno"> 2543</span>&#160; 40, 41, 42,</div><div class="line"><a name="l02544"></a><span class="lineno"> 2544</span>&#160; 43, 44, 45,</div><div class="line"><a name="l02545"></a><span class="lineno"> 2545</span>&#160; 46, 47, 48,</div><div class="line"><a name="l02546"></a><span class="lineno"> 2546</span>&#160; 49, 50, 51,</div><div class="line"><a name="l02547"></a><span class="lineno"> 2547</span>&#160; 52, 53, 54,</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; );</div><div class="line"><a name="l02550"></a><span class="lineno"> 2550</span>&#160;</div><div class="line"><a name="l02551"></a><span class="lineno"> 2551</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="l02552"></a><span class="lineno"> 2552</span>&#160; {</div><div class="line"><a name="l02553"></a><span class="lineno"> 2553</span>&#160; 1, 2, 3,</div><div class="line"><a name="l02554"></a><span class="lineno"> 2554</span>&#160; 4, 5, 6,</div><div class="line"><a name="l02555"></a><span class="lineno"> 2555</span>&#160; 7, 8, 9,</div><div class="line"><a name="l02556"></a><span class="lineno"> 2556</span>&#160; 10, 11, 12,</div><div class="line"><a name="l02557"></a><span class="lineno"> 2557</span>&#160; 13, 14, 15,</div><div class="line"><a name="l02558"></a><span class="lineno"> 2558</span>&#160; 16, 17, 18,</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; 19, 20, 21,</div><div class="line"><a name="l02561"></a><span class="lineno"> 2561</span>&#160; 22, 23, 24,</div><div class="line"><a name="l02562"></a><span class="lineno"> 2562</span>&#160; 25, 26, 27,</div><div class="line"><a name="l02563"></a><span class="lineno"> 2563</span>&#160; 28, 29, 30,</div><div class="line"><a name="l02564"></a><span class="lineno"> 2564</span>&#160; 31, 32, 33,</div><div class="line"><a name="l02565"></a><span class="lineno"> 2565</span>&#160; 34, 35, 36,</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; );</div><div class="line"><a name="l02568"></a><span class="lineno"> 2568</span>&#160;</div><div class="line"><a name="l02569"></a><span class="lineno"> 2569</span>&#160; <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="l02570"></a><span class="lineno"> 2570</span>&#160; {</div><div class="line"><a name="l02571"></a><span class="lineno"> 2571</span>&#160; 37, 38, 39,</div><div class="line"><a name="l02572"></a><span class="lineno"> 2572</span>&#160; 40, 41, 42,</div><div class="line"><a name="l02573"></a><span class="lineno"> 2573</span>&#160; 43, 44, 45,</div><div class="line"><a name="l02574"></a><span class="lineno"> 2574</span>&#160; 46, 47, 48,</div><div class="line"><a name="l02575"></a><span class="lineno"> 2575</span>&#160; 49, 50, 51,</div><div class="line"><a name="l02576"></a><span class="lineno"> 2576</span>&#160; 52, 53, 54,</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; );</div><div class="line"><a name="l02579"></a><span class="lineno"> 2579</span>&#160;</div><div class="line"><a name="l02580"></a><span class="lineno"> 2580</span>&#160; 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="l02581"></a><span class="lineno"> 2581</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html">ConcatQueueDescriptor::ViewOrigin</a> window1(wOrigin1);</div><div class="line"><a name="l02582"></a><span class="lineno"> 2582</span>&#160;</div><div class="line"><a name="l02583"></a><span class="lineno"> 2583</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="l02584"></a><span class="lineno"> 2584</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html">ConcatQueueDescriptor::ViewOrigin</a> window2(wOrigin2);</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::unique_ptr&lt;ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l02588"></a><span class="lineno"> 2588</span>&#160;</div><div class="line"><a name="l02589"></a><span class="lineno"> 2589</span>&#160; <span class="keywordtype">bool</span> subTensorsSupported = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a37f4eba7877deb34f4d8d64c9bcb9ab5">SupportsSubTensors</a>();</div><div class="line"><a name="l02590"></a><span class="lineno"> 2590</span>&#160;</div><div class="line"><a name="l02591"></a><span class="lineno"> 2591</span>&#160; std::unique_ptr&lt;ITensorHandle&gt; inputHandle1 =</div><div class="line"><a name="l02592"></a><span class="lineno"> 2592</span>&#160; subTensorsSupported ?</div><div class="line"><a name="l02593"></a><span class="lineno"> 2593</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) :</div><div class="line"><a name="l02594"></a><span class="lineno"> 2594</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo1);</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; std::unique_ptr&lt;ITensorHandle&gt; inputHandle2 =</div><div class="line"><a name="l02597"></a><span class="lineno"> 2597</span>&#160; subTensorsSupported ?</div><div class="line"><a name="l02598"></a><span class="lineno"> 2598</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#ac043991b839903b2ba9da884e4020848">CreateSubTensorHandle</a>(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) :</div><div class="line"><a name="l02599"></a><span class="lineno"> 2599</span>&#160; workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l02600"></a><span class="lineno"> 2600</span>&#160;</div><div class="line"><a name="l02601"></a><span class="lineno"> 2601</span>&#160;</div><div class="line"><a name="l02602"></a><span class="lineno"> 2602</span>&#160; <a class="code" href="structarmnn_1_1_concat_queue_descriptor.html">ConcatQueueDescriptor</a> data;</div><div class="line"><a name="l02603"></a><span class="lineno"> 2603</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l02604"></a><span class="lineno"> 2604</span>&#160; AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l02605"></a><span class="lineno"> 2605</span>&#160; AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l02606"></a><span class="lineno"> 2606</span>&#160; AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</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; data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window1);</div><div class="line"><a name="l02609"></a><span class="lineno"> 2609</span>&#160; data.<a class="code" href="structarmnn_1_1_concat_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>.push_back(window2);</div><div class="line"><a name="l02610"></a><span class="lineno"> 2610</span>&#160;</div><div class="line"><a name="l02611"></a><span class="lineno"> 2611</span>&#160; std::unique_ptr&lt;IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a32bb8d6cf5fc028bf501252767c08b21">CreateConcat</a>(data, info);</div><div class="line"><a name="l02612"></a><span class="lineno"> 2612</span>&#160;</div><div class="line"><a name="l02613"></a><span class="lineno"> 2613</span>&#160; inputHandle1-&gt;Allocate();</div><div class="line"><a name="l02614"></a><span class="lineno"> 2614</span>&#160; inputHandle2-&gt;Allocate();</div><div class="line"><a name="l02615"></a><span class="lineno"> 2615</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l02616"></a><span class="lineno"> 2616</span>&#160;</div><div class="line"><a name="l02617"></a><span class="lineno"> 2617</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), &amp;input1[0][0][0]);</div><div class="line"><a name="l02618"></a><span class="lineno"> 2618</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle2.get(), &amp;input2[0][0][0]);</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; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l02621"></a><span class="lineno"> 2621</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l02622"></a><span class="lineno"> 2622</span>&#160;</div><div class="line"><a name="l02623"></a><span class="lineno"> 2623</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;ret.output[0][0][0], outputHandle.get());</div><div class="line"><a name="l02624"></a><span class="lineno"> 2624</span>&#160;</div><div class="line"><a name="l02625"></a><span class="lineno"> 2625</span>&#160; <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l02626"></a><span class="lineno"> 2626</span>&#160;}</div><div class="ttc" id="_tensor_copy_utils_8cpp_html_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00009">TensorCopyUtils.cpp:9</a></div></div>
1700<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
1701<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
1702<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#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>
1703<div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div>
1704<div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00014">TensorCopyUtils.cpp:14</a></div></div>
1705<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
1706<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_html_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.html#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.html#l00115">WorkloadData.hpp:115</a></div></div>
1707<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_ac043991b839903b2ba9da884e4020848"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#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>
1708<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a32bb8d6cf5fc028bf501252767c08b21"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#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.html#l01118">WorkloadFactory.cpp:1118</a></div></div>
1709<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a37f4eba7877deb34f4d8d64c9bcb9ab5"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a37f4eba7877deb34f4d8d64c9bcb9ab5">armnn::IWorkloadFactory::SupportsSubTensors</a></div><div class="ttdeci">virtual bool SupportsSubTensors() const =0</div></div>
1710<div class="ttc" id="classarmnn_1_1_tensor_info_html_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00259">Tensor.cpp:259</a></div></div>
1711<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin_html"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor_1_1_view_origin.html">armnn::ConcatQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00104">WorkloadData.hpp:104</a></div></div>
1712<div class="ttc" id="structarmnn_1_1_concat_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_concat_queue_descriptor.html">armnn::ConcatQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00102">WorkloadData.hpp:102</a></div></div>
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