IVGCVSW-3726 Upload ArmNN Doxygen files
* Upload current ArmNN Doxygen files
Signed-off-by: Ryan OShea <Ryan.OShea2@arm.com>
Change-Id: I8989ed16ee40a99a4495b100bd009cf3e24a7285
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+<div class="textblock"><code>#include "<a class="el" href="_softmax_test_impl_8hpp_source.xhtml">SoftmaxTestImpl.hpp</a>"</code><br />
+<code>#include <<a class="el" href="_quantize_helper_8hpp_source.xhtml">QuantizeHelper.hpp</a>></code><br />
+<code>#include <<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>></code><br />
+<code>#include <<a class="el" href="_cpu_tensor_handle_8hpp_source.xhtml">backendsCommon/CpuTensorHandle.hpp</a>></code><br />
+<code>#include <<a class="el" href="_tensor_copy_utils_8hpp_source.xhtml">backendsCommon/test/TensorCopyUtils.hpp</a>></code><br />
+<code>#include <<a class="el" href="_workload_test_utils_8hpp_source.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>></code><br />
+<code>#include <<a class="el" href="_tensor_helpers_8hpp_source.xhtml">test/TensorHelpers.hpp</a>></code><br />
+<code>#include <algorithm></code><br />
+</div>
+<p><a href="_softmax_test_impl_8cpp_source.xhtml">Go to the source code of this file.</a></p>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
+Functions</h2></td></tr>
+<tr class="memitem:a49081ef56cfc5fafad212dfbce4f259b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.xhtml#a49081ef56cfc5fafad212dfbce4f259b">SimpleSoftmaxTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float beta)</td></tr>
+<tr class="separator:a49081ef56cfc5fafad212dfbce4f259b"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a493bef3f5fc0d657b0a5fe29e58dcbdf"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.xhtml#a493bef3f5fc0d657b0a5fe29e58dcbdf">SimpleAxisSoftmaxTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float beta, int axis)</td></tr>
+<tr class="separator:a493bef3f5fc0d657b0a5fe29e58dcbdf"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a95c728251146e1f5bcddf8bd04927553"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.xhtml#a95c728251146e1f5bcddf8bd04927553">Simple3dSoftmaxTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float beta)</td></tr>
+<tr class="separator:a95c728251146e1f5bcddf8bd04927553"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a1f0c412bd42fe4ef6b408d463a7a438f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.xhtml#a1f0c412bd42fe4ef6b408d463a7a438f">Simple3dAxisSoftmaxTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float beta, int axis)</td></tr>
+<tr class="separator:a1f0c412bd42fe4ef6b408d463a7a438f"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a0d366093ec6ca27079466c811151665c"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.xhtml#a0d366093ec6ca27079466c811151665c">Simple4dSoftmaxTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float beta)</td></tr>
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+<tr class="memitem:a28b9861c52ee758d11db282794b21306"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.xhtml#a28b9861c52ee758d11db282794b21306">SimpleSoftmaxFloat16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float beta)</td></tr>
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+<tr class="memitem:a2c83aa074ca45a521e8253ddf61cdeb2"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.xhtml#a2c83aa074ca45a521e8253ddf61cdeb2">Simple3dSoftmaxFloat16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float beta)</td></tr>
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+<tr class="memitem:a55ce19436218d7abbbc53b5f66c2b7fe"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.xhtml#a55ce19436218d7abbbc53b5f66c2b7fe">SimpleSoftmaxUint16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float beta)</td></tr>
+<tr class="separator:a55ce19436218d7abbbc53b5f66c2b7fe"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:abde790042baa52b75247c30559840cbf"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 3 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.xhtml#abde790042baa52b75247c30559840cbf">Simple3dSoftmaxUint16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float beta)</td></tr>
+<tr class="separator:abde790042baa52b75247c30559840cbf"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a418bae8de268bfed7d215c884c1373ea"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.xhtml#a418bae8de268bfed7d215c884c1373ea">Simple4dSoftmaxUint16Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, float beta)</td></tr>
+<tr class="separator:a418bae8de268bfed7d215c884c1373ea"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a19eddd116e2b25fe1e3f5dabe7811881"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.xhtml#a19eddd116e2b25fe1e3f5dabe7811881">CompareSoftmaxTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &refWorkloadFactory, float beta)</td></tr>
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+<tr class="memitem:a6e109a180e36e8184f3e6193110ce709"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.xhtml#a6e109a180e36e8184f3e6193110ce709">CompareSoftmaxUint8Test</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &refWorkloadFactory, float beta)</td></tr>
+<tr class="separator:a6e109a180e36e8184f3e6193110ce709"><td class="memSeparator" colspan="2"> </td></tr>
+</table>
+<h2 class="groupheader">Function Documentation</h2>
+<a id="a19eddd116e2b25fe1e3f5dabe7811881"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a19eddd116e2b25fe1e3f5dabe7811881">◆ </a></span>CompareSoftmaxTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float,2> CompareSoftmaxTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>refWorkloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>beta</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.xhtml#l00690">690</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00695"></a><span class="lineno"> 695</span> {</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  <span class="keywordflow">return</span> CompareSoftmaxTestImpl<armnn::DataType::Float32>(</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  workloadFactory, memoryManager, refWorkloadFactory, beta);</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span> }</div></div><!-- fragment -->
+</div>
+</div>
+<a id="a6e109a180e36e8184f3e6193110ce709"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a6e109a180e36e8184f3e6193110ce709">◆ </a></span>CompareSoftmaxUint8Test()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t,2> CompareSoftmaxUint8Test </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>refWorkloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>beta</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.xhtml#l00700">700</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00705"></a><span class="lineno"> 705</span> {</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <span class="keywordflow">return</span> CompareSoftmaxTestImpl<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  workloadFactory, memoryManager, refWorkloadFactory, beta);</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span> }</div></div><!-- fragment -->
+</div>
+</div>
+<a id="a1f0c412bd42fe4ef6b408d463a7a438f"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a1f0c412bd42fe4ef6b408d463a7a438f">◆ </a></span>Simple3dAxisSoftmaxTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float,3> Simple3dAxisSoftmaxTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>beta</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>axis</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.xhtml#l00331">331</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> {</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape;</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  std::vector<float> inputData;</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  std::vector<float> outputData;</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keywordflow">switch</span> (axis)</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  {</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keywordflow">case</span> -3:</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keywordflow">case</span> 0:</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  inputShape = {5, 2, 2};</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> </div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  inputData =</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  {</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  17.0f, -1.0f, 17.0f, -1.0f, 16.0f, -2.0f, 16.0f, -2.0f, 15.0f, -3.0f,</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span> </div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  15.0f, -3.0f, 14.0f, -4.0f, 14.0f, -4.0f, 1.0f, -17.0f, 1.0f, -17.0f</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  };</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span> </div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  outputData =</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  {</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.643914213228014f,</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  0.236882800924671f,</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  0.236882800924671f, 0.236882800924671f, 0.236882800924671f, 0.087144312427294f,</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  0.087144312427294f,</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> </div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  0.087144312427294f, 0.087144312427294f, 0.032058600957022f, 0.032058600957022f,</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  0.032058600957022f,</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  0.032058600957022f, 7.246299848982885e-08f, 7.246299848982885e-08f, 7.246299848982885e-08f,</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  7.246299848982885e-08f</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  };</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  }</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">case</span> -2:</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keywordflow">case</span> 1:</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  {</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  inputShape = {2, 5, 2};</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> </div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  inputData =</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  {</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  17.0f, -1.0f, 16.0f, -2.0f, 15.0f, -3.0f, 14.0f, -4.0f, 1.0f, -17.0f,</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  17.0f, -1.0f, 16.0f, -2.0f, 15.0f, -3.0f, 14.0f, -4.0f, 1.0f, -17.0f</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  };</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> </div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  outputData =</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  {</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  0.087144312427294f,</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f,</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span> </div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  0.087144312427294f,</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f,</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  7.246299848982885e-08f</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  };</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  }</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keywordflow">case</span> -1:</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keywordflow">case</span> 2:</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  {</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  inputShape = {2, 2, 5};</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  inputData =</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  {</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  17.0f, 16.0f, 15.0f, 14.0f, 1.0f, -1.0f, -2.0f, -3.0f, -4.0f, -17.0f,</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  17.0f, 16.0f, 15.0f, 14.0f, 1.0f, -1.0f, -2.0f, -3.0f, -4.0f, -17.0f</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  };</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  outputData =</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  {</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span> </div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  7.246299848982885e-08f</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  };</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  }</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  }</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> </div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keywordflow">return</span> Simple3dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta,</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  inputShape, outputData, inputData, axis);</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a2c83aa074ca45a521e8253ddf61cdeb2"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a2c83aa074ca45a521e8253ddf61cdeb2">◆ </a></span>Simple3dSoftmaxFloat16Test()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>,3> Simple3dSoftmaxFloat16Test </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>beta</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.xhtml#l00641">641</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00645"></a><span class="lineno"> 645</span> {</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  Simple3dSoftmaxOutputData data;</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  <span class="keywordflow">return</span> Simple3dSoftmaxTestImpl<armnn::DataType::Float16>(workloadFactory, memoryManager, beta,</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span> }</div></div><!-- fragment -->
+</div>
+</div>
+<a id="a95c728251146e1f5bcddf8bd04927553"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a95c728251146e1f5bcddf8bd04927553">◆ </a></span>Simple3dSoftmaxTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float,3> Simple3dSoftmaxTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>beta</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.xhtml#l00321">321</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> {</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  Simple3dSoftmaxOutputData data;</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keywordflow">return</span> Simple3dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta,</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> }</div></div><!-- fragment -->
+</div>
+</div>
+<a id="abde790042baa52b75247c30559840cbf"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#abde790042baa52b75247c30559840cbf">◆ </a></span>Simple3dSoftmaxUint16Test()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t,3> Simple3dSoftmaxUint16Test </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>beta</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.xhtml#l00669">669</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00673"></a><span class="lineno"> 673</span> {</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  Simple3dSoftmaxOutputData data;</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="keywordflow">return</span> Simple3dSoftmaxTestImpl<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, beta,</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span> }</div></div><!-- fragment -->
+</div>
+</div>
+<a id="a2363ddc02a7035b224ab4bbc548c7e35"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a2363ddc02a7035b224ab4bbc548c7e35">◆ </a></span>Simple3dSoftmaxUint8Test()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t,3> Simple3dSoftmaxUint8Test </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>beta</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.xhtml#l00607">607</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00611"></a><span class="lineno"> 611</span> {</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  Simple3dSoftmaxOutputData data;</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="keywordflow">return</span> Simple3dSoftmaxTestImpl<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  workloadFactory,</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  memoryManager,</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  beta,</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  data.inputShape,</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  data.outputData,</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  data.inputData);</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span> }</div></div><!-- fragment -->
+</div>
+</div>
+<a id="a1dc1b7112df501f911a501ad40589215"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a1dc1b7112df501f911a501ad40589215">◆ </a></span>Simple4dAxisSoftmaxTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float,4> Simple4dAxisSoftmaxTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>beta</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>axis</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.xhtml#l00435">435</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00440"></a><span class="lineno"> 440</span> {</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape;</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  std::vector<float> inputData;</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  std::vector<float> outputData;</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keywordflow">switch</span> (axis)</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  {</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordflow">case</span> -4:</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keywordflow">case</span> 0:</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  {</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  inputShape = {5, 2, 2, 2};</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span> </div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  inputData =</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  {</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  17.0f, -1.0f, 17.0f, -1.0f, 17.0f, -1.0f, 17.0f, -1.0f, 16.0f, -2.0f,</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  16.0f, -2.0f, 16.0f, -2.0f, 16.0f, -2.0f, 15.0f, -3.0f, 15.0f, -3.0f,</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  15.0f, -3.0f, 15.0f, -3.0f, 14.0f, -4.0f, 14.0f, -4.0f, 14.0f, -4.0f,</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  14.0f, -4.0f, 1.0f, -17.0f, 1.0f, -17.0f, 1.0f, -17.0f, 1.0f, -17.0f</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  };</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span> </div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  outputData =</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  {</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.643914213228014f,</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  0.643914213228014f,</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.236882800924671f,</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  0.236882800924671f,</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  0.236882800924671f, 0.236882800924671f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  0.236882800924671f,</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  0.236882800924671f, 0.087144312427294f, 0.087144312427294f, 0.087144312427294f,</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  0.087144312427294f,</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span> </div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  0.087144312427294f, 0.087144312427294f, 0.087144312427294f, 0.087144312427294f,</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  0.032058600957022f,</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  0.032058600957022f, 0.032058600957022f, 0.032058600957022f, 0.032058600957022f,</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  0.032058600957022f,</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f, 7.246299848982885e-08f,</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  7.246299848982885e-08f, 7.246299848982885e-08f, 7.246299848982885e-08f,</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  7.246299848982885e-08f, 7.246299848982885e-08f</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  };</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  }</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordflow">case</span> -3:</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keywordflow">case</span> 1:</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  {</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  inputShape = {2, 5, 2, 2};</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span> </div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  inputData =</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  {</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  17.0f, -1.0f, 17.0f, -1.0f, 16.0f, -2.0f, 16.0f, -2.0f, 15.0f, -3.0f,</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  15.0f, -3.0f, 14.0f, -4.0f, 14.0f, -4.0f, 1.0f, -17.0f, 1.0f, -17.0f,</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  17.0f, -1.0f, 17.0f, -1.0f, 16.0f, -2.0f, 16.0f, -2.0f, 15.0f, -3.0f,</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  15.0f, -3.0f, 14.0f, -4.0f, 14.0f, -4.0f, 1.0f, -17.0f, 1.0f, -17.0f</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  };</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> </div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  outputData =</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  {</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.643914213228014f,</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  0.236882800924671f,</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  0.236882800924671f, 0.236882800924671f, 0.236882800924671f, 0.087144312427294f,</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  0.087144312427294f,</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  0.087144312427294f, 0.087144312427294f, 0.032058600957022f, 0.032058600957022f,</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  0.032058600957022f,</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  0.032058600957022f, 7.246299848982885e-08f, 7.246299848982885e-08f, 7.246299848982885e-08f,</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span> </div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span> </div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.643914213228014f,</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  0.236882800924671f,</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  0.236882800924671f, 0.236882800924671f, 0.236882800924671f, 0.087144312427294f,</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  0.087144312427294f,</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  0.087144312427294f, 0.087144312427294f, 0.032058600957022f, 0.032058600957022f,</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  0.032058600957022f,</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  0.032058600957022f, 7.246299848982885e-08f, 7.246299848982885e-08f, 7.246299848982885e-08f,</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  7.246299848982885e-08f</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  };</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  }</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordflow">case</span> -2:</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordflow">case</span> 2:</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  {</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  inputShape = {2, 2, 5, 2};</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span> </div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  inputData =</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  {</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  17.0f, -1.0f, 16.0f, -2.0f, 15.0f, -3.0f, 14.0f, -4.0f, 1.0f, -17.0f,</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  17.0f, -1.0f, 16.0f, -2.0f, 15.0f, -3.0f, 14.0f, -4.0f, 1.0f, -17.0f,</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  17.0f, -1.0f, 16.0f, -2.0f, 15.0f, -3.0f, 14.0f, -4.0f, 1.0f, -17.0f,</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  17.0f, -1.0f, 16.0f, -2.0f, 15.0f, -3.0f, 14.0f, -4.0f, 1.0f, -17.0f</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  };</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span> </div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  outputData =</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  {</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  0.087144312427294f,</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f,</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  0.087144312427294f,</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f,</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span> </div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  0.087144312427294f,</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f,</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  0.087144312427294f,</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f,</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  7.246299848982885e-08f</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  };</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  }</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keywordflow">case</span> -1:</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="keywordflow">case</span> 3:</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  {</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  inputShape = {2, 2, 2, 5};</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> </div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  inputData =</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  {</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  17.0f, 16.0f, 15.0f, 14.0f, 1.0f, -1.0f, -2.0f, -3.0f, -4.0f, -17.0f,</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  17.0f, 16.0f, 15.0f, 14.0f, 1.0f, -1.0f, -2.0f, -3.0f, -4.0f, -17.0f,</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  17.0f, 16.0f, 15.0f, 14.0f, 1.0f, -1.0f, -2.0f, -3.0f, -4.0f, -17.0f,</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  17.0f, 16.0f, 15.0f, 14.0f, 1.0f, -1.0f, -2.0f, -3.0f, -4.0f, -17.0f</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  };</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span> </div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  outputData =</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  {</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span> </div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  7.246299848982885e-08f,</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  7.246299848982885e-08f</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  };</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  }</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  }</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span> </div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keywordflow">return</span> Simple4dSoftmaxTestImpl<armnn::DataType::Float32>(</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  workloadFactory,</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  memoryManager,</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  beta,</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  inputShape,</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  outputData,</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  inputData,</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  axis);</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a9457b55b18827c741d53f42e36d4a2d1"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a9457b55b18827c741d53f42e36d4a2d1">◆ </a></span>Simple4dSoftmaxFloat16Test()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>,4> Simple4dSoftmaxFloat16Test </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>beta</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.xhtml#l00651">651</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00655"></a><span class="lineno"> 655</span> {</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  Simple4dSoftmaxData data;</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <span class="keywordflow">return</span> Simple4dSoftmaxTestImpl<armnn::DataType::Float16>(workloadFactory, memoryManager, beta,</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span> }</div></div><!-- fragment -->
+</div>
+</div>
+<a id="a0d366093ec6ca27079466c811151665c"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a0d366093ec6ca27079466c811151665c">◆ </a></span>Simple4dSoftmaxTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float,4> Simple4dSoftmaxTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>beta</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.xhtml#l00425">425</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00429"></a><span class="lineno"> 429</span> {</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  Simple4dSoftmaxData data;</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="keywordflow">return</span> Simple4dSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta, data.inputShape,</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  data.outputData, data.inputData);</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> }</div></div><!-- fragment -->
+</div>
+</div>
+<a id="a418bae8de268bfed7d215c884c1373ea"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a418bae8de268bfed7d215c884c1373ea">◆ </a></span>Simple4dSoftmaxUint16Test()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t,4> Simple4dSoftmaxUint16Test </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>beta</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.xhtml#l00679">679</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00683"></a><span class="lineno"> 683</span> {</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  Simple4dSoftmaxData data;</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span> </div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  <span class="keywordflow">return</span> Simple4dSoftmaxTestImpl<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, beta,</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span> }</div></div><!-- fragment -->
+</div>
+</div>
+<a id="abbe2d209a74d323f9243c1943dfd429e"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#abbe2d209a74d323f9243c1943dfd429e">◆ </a></span>Simple4dSoftmaxUint8Test()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t,4> Simple4dSoftmaxUint8Test </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>beta</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.xhtml#l00622">622</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00626"></a><span class="lineno"> 626</span> {</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  Simple4dSoftmaxData data;</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span> </div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <span class="keywordflow">return</span> Simple4dSoftmaxTestImpl<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, beta,</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span> }</div></div><!-- fragment -->
+</div>
+</div>
+<a id="a493bef3f5fc0d657b0a5fe29e58dcbdf"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a493bef3f5fc0d657b0a5fe29e58dcbdf">◆ </a></span>SimpleAxisSoftmaxTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float,2> SimpleAxisSoftmaxTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>beta</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int </td>
+ <td class="paramname"><em>axis</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.xhtml#l00312">312</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00317"></a><span class="lineno"> 317</span> {</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keywordflow">return</span> SimpleSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta, axis);</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span> }</div></div><!-- fragment -->
+</div>
+</div>
+<a id="a28b9861c52ee758d11db282794b21306"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a28b9861c52ee758d11db282794b21306">◆ </a></span>SimpleSoftmaxFloat16Test()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><<a class="el" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>,2> SimpleSoftmaxFloat16Test </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>beta</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.xhtml#l00633">633</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00637"></a><span class="lineno"> 637</span> {</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <span class="keywordflow">return</span> SimpleSoftmaxTestImpl<armnn::DataType::Float16>(workloadFactory, memoryManager, beta);</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span> }</div></div><!-- fragment -->
+</div>
+</div>
+<a id="a49081ef56cfc5fafad212dfbce4f259b"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a49081ef56cfc5fafad212dfbce4f259b">◆ </a></span>SimpleSoftmaxTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><float,2> SimpleSoftmaxTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>beta</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.xhtml#l00304">304</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00308"></a><span class="lineno"> 308</span> {</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordflow">return</span> SimpleSoftmaxTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager, beta);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> }</div></div><!-- fragment -->
+</div>
+</div>
+<a id="a55ce19436218d7abbbc53b5f66c2b7fe"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a55ce19436218d7abbbc53b5f66c2b7fe">◆ </a></span>SimpleSoftmaxUint16Test()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int16_t,2> SimpleSoftmaxUint16Test </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>beta</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.xhtml#l00661">661</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00665"></a><span class="lineno"> 665</span> {</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="keywordflow">return</span> SimpleSoftmaxTestImpl<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, beta);</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span> }</div></div><!-- fragment -->
+</div>
+</div>
+<a id="ae89aa2e8ca6da83261a62781ad26352d"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ae89aa2e8ca6da83261a62781ad26352d">◆ </a></span>SimpleSoftmaxUint8Test()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><uint8_t,2> SimpleSoftmaxUint8Test </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>beta</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.xhtml#l00599">599</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.xhtml">SoftmaxTestImpl.cpp</a>.</p>
+<div class="fragment"><div class="line"><a name="l00603"></a><span class="lineno"> 603</span> {</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <span class="keywordflow">return</span> SimpleSoftmaxTestImpl<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, beta);</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span> }</div></div><!-- fragment -->
+</div>
+</div>
+</div><!-- contents -->
+</div><!-- doc-content -->
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+ <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.xhtml">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.xhtml">test</a></li><li class="navelem"><a class="el" href="dir_99a30439342d160875b21dac3498ad7f.xhtml">layerTests</a></li><li class="navelem"><a class="el" href="_softmax_test_impl_8cpp.xhtml">SoftmaxTestImpl.cpp</a></li>
+ <li class="footer">Generated on Fri Mar 13 2020 16:09:15 for ArmNN by
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+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
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