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86<div class="title">SoftmaxTestImpl.cpp File Reference</div> </div>
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89<div class="textblock"><code>#include &quot;<a class="el" href="_softmax_test_impl_8hpp_source.html">SoftmaxTestImpl.hpp</a>&quot;</code><br />
90<code>#include &lt;<a class="el" href="_quantize_helper_8hpp_source.html">QuantizeHelper.hpp</a>&gt;</code><br />
91<code>#include &lt;<a class="el" href="_resolve_type_8hpp_source.html">ResolveType.hpp</a>&gt;</code><br />
92<code>#include &lt;<a class="el" href="_cpu_tensor_handle_8hpp_source.html">backendsCommon/CpuTensorHandle.hpp</a>&gt;</code><br />
93<code>#include &lt;<a class="el" href="_tensor_copy_utils_8hpp_source.html">backendsCommon/test/TensorCopyUtils.hpp</a>&gt;</code><br />
94<code>#include &lt;<a class="el" href="_workload_test_utils_8hpp_source.html">backendsCommon/test/WorkloadTestUtils.hpp</a>&gt;</code><br />
95<code>#include &lt;<a class="el" href="_tensor_helpers_8hpp_source.html">test/TensorHelpers.hpp</a>&gt;</code><br />
96<code>#include &lt;algorithm&gt;</code><br />
97</div>
98<p><a href="_softmax_test_impl_8cpp_source.html">Go to the source code of this file.</a></p>
99<table class="memberdecls">
100<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
101Functions</h2></td></tr>
102<tr class="memitem:a49081ef56cfc5fafad212dfbce4f259b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; float, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.html#a49081ef56cfc5fafad212dfbce4f259b">SimpleSoftmaxTest</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, float beta)</td></tr>
103<tr class="separator:a49081ef56cfc5fafad212dfbce4f259b"><td class="memSeparator" colspan="2">&#160;</td></tr>
104<tr class="memitem:a493bef3f5fc0d657b0a5fe29e58dcbdf"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; float, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.html#a493bef3f5fc0d657b0a5fe29e58dcbdf">SimpleAxisSoftmaxTest</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, float beta, int axis)</td></tr>
105<tr class="separator:a493bef3f5fc0d657b0a5fe29e58dcbdf"><td class="memSeparator" colspan="2">&#160;</td></tr>
106<tr class="memitem:a95c728251146e1f5bcddf8bd04927553"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; float, 3 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.html#a95c728251146e1f5bcddf8bd04927553">Simple3dSoftmaxTest</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, float beta)</td></tr>
107<tr class="separator:a95c728251146e1f5bcddf8bd04927553"><td class="memSeparator" colspan="2">&#160;</td></tr>
108<tr class="memitem:a1f0c412bd42fe4ef6b408d463a7a438f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; float, 3 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.html#a1f0c412bd42fe4ef6b408d463a7a438f">Simple3dAxisSoftmaxTest</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, float beta, int axis)</td></tr>
109<tr class="separator:a1f0c412bd42fe4ef6b408d463a7a438f"><td class="memSeparator" colspan="2">&#160;</td></tr>
110<tr class="memitem:a0d366093ec6ca27079466c811151665c"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; float, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.html#a0d366093ec6ca27079466c811151665c">Simple4dSoftmaxTest</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, float beta)</td></tr>
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114<tr class="memitem:ae89aa2e8ca6da83261a62781ad26352d"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; uint8_t, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.html#ae89aa2e8ca6da83261a62781ad26352d">SimpleSoftmaxUint8Test</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, float beta)</td></tr>
115<tr class="separator:ae89aa2e8ca6da83261a62781ad26352d"><td class="memSeparator" colspan="2">&#160;</td></tr>
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122<tr class="memitem:a2c83aa074ca45a521e8253ddf61cdeb2"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; <a class="el" href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>, 3 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.html#a2c83aa074ca45a521e8253ddf61cdeb2">Simple3dSoftmaxFloat16Test</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, float beta)</td></tr>
123<tr class="separator:a2c83aa074ca45a521e8253ddf61cdeb2"><td class="memSeparator" colspan="2">&#160;</td></tr>
124<tr class="memitem:a9457b55b18827c741d53f42e36d4a2d1"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; <a class="el" href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.html#a9457b55b18827c741d53f42e36d4a2d1">Simple4dSoftmaxFloat16Test</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, float beta)</td></tr>
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127<tr class="separator:a55ce19436218d7abbbc53b5f66c2b7fe"><td class="memSeparator" colspan="2">&#160;</td></tr>
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130<tr class="memitem:a418bae8de268bfed7d215c884c1373ea"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; int16_t, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.html#a418bae8de268bfed7d215c884c1373ea">Simple4dSoftmaxUint16Test</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, float beta)</td></tr>
131<tr class="separator:a418bae8de268bfed7d215c884c1373ea"><td class="memSeparator" colspan="2">&#160;</td></tr>
132<tr class="memitem:a19eddd116e2b25fe1e3f5dabe7811881"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; float, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.html#a19eddd116e2b25fe1e3f5dabe7811881">CompareSoftmaxTest</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, <a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;refWorkloadFactory, float beta)</td></tr>
133<tr class="separator:a19eddd116e2b25fe1e3f5dabe7811881"><td class="memSeparator" colspan="2">&#160;</td></tr>
134<tr class="memitem:a6e109a180e36e8184f3e6193110ce709"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; uint8_t, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_softmax_test_impl_8cpp.html#a6e109a180e36e8184f3e6193110ce709">CompareSoftmaxUint8Test</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, <a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;refWorkloadFactory, float beta)</td></tr>
135<tr class="separator:a6e109a180e36e8184f3e6193110ce709"><td class="memSeparator" colspan="2">&#160;</td></tr>
136</table>
137<h2 class="groupheader">Function Documentation</h2>
138<a id="a19eddd116e2b25fe1e3f5dabe7811881"></a>
139<h2 class="memtitle"><span class="permalink"><a href="#a19eddd116e2b25fe1e3f5dabe7811881">&#9670;&nbsp;</a></span>CompareSoftmaxTest()</h2>
140
141<div class="memitem">
142<div class="memproto">
143 <table class="memname">
144 <tr>
145 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float,2&gt; CompareSoftmaxTest </td>
146 <td>(</td>
147 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
148 <td class="paramname"><em>workloadFactory</em>, </td>
149 </tr>
150 <tr>
151 <td class="paramkey"></td>
152 <td></td>
153 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
154 <td class="paramname"><em>memoryManager</em>, </td>
155 </tr>
156 <tr>
157 <td class="paramkey"></td>
158 <td></td>
159 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
160 <td class="paramname"><em>refWorkloadFactory</em>, </td>
161 </tr>
162 <tr>
163 <td class="paramkey"></td>
164 <td></td>
165 <td class="paramtype">float&#160;</td>
166 <td class="paramname"><em>beta</em>&#160;</td>
167 </tr>
168 <tr>
169 <td></td>
170 <td>)</td>
171 <td></td><td></td>
172 </tr>
173 </table>
174</div><div class="memdoc">
175
176<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.html#l00690">690</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.html">SoftmaxTestImpl.cpp</a>.</p>
177<div class="fragment"><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>&#160;{</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>&#160; <span class="keywordflow">return</span> CompareSoftmaxTestImpl&lt;armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>&#160; workloadFactory, memoryManager, refWorkloadFactory, beta);</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>&#160;}</div></div><!-- fragment -->
178</div>
179</div>
180<a id="a6e109a180e36e8184f3e6193110ce709"></a>
181<h2 class="memtitle"><span class="permalink"><a href="#a6e109a180e36e8184f3e6193110ce709">&#9670;&nbsp;</a></span>CompareSoftmaxUint8Test()</h2>
182
183<div class="memitem">
184<div class="memproto">
185 <table class="memname">
186 <tr>
187 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t,2&gt; CompareSoftmaxUint8Test </td>
188 <td>(</td>
189 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
190 <td class="paramname"><em>workloadFactory</em>, </td>
191 </tr>
192 <tr>
193 <td class="paramkey"></td>
194 <td></td>
195 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
196 <td class="paramname"><em>memoryManager</em>, </td>
197 </tr>
198 <tr>
199 <td class="paramkey"></td>
200 <td></td>
201 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
202 <td class="paramname"><em>refWorkloadFactory</em>, </td>
203 </tr>
204 <tr>
205 <td class="paramkey"></td>
206 <td></td>
207 <td class="paramtype">float&#160;</td>
208 <td class="paramname"><em>beta</em>&#160;</td>
209 </tr>
210 <tr>
211 <td></td>
212 <td>)</td>
213 <td></td><td></td>
214 </tr>
215 </table>
216</div><div class="memdoc">
217
218<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.html#l00700">700</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.html">SoftmaxTestImpl.cpp</a>.</p>
219<div class="fragment"><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>&#160;{</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>&#160; <span class="keywordflow">return</span> CompareSoftmaxTestImpl&lt;armnn::DataType::QAsymmU8&gt;(</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>&#160; workloadFactory, memoryManager, refWorkloadFactory, beta);</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>&#160;}</div></div><!-- fragment -->
220</div>
221</div>
222<a id="a1f0c412bd42fe4ef6b408d463a7a438f"></a>
223<h2 class="memtitle"><span class="permalink"><a href="#a1f0c412bd42fe4ef6b408d463a7a438f">&#9670;&nbsp;</a></span>Simple3dAxisSoftmaxTest()</h2>
224
225<div class="memitem">
226<div class="memproto">
227 <table class="memname">
228 <tr>
229 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float,3&gt; Simple3dAxisSoftmaxTest </td>
230 <td>(</td>
231 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
232 <td class="paramname"><em>workloadFactory</em>, </td>
233 </tr>
234 <tr>
235 <td class="paramkey"></td>
236 <td></td>
237 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
238 <td class="paramname"><em>memoryManager</em>, </td>
239 </tr>
240 <tr>
241 <td class="paramkey"></td>
242 <td></td>
243 <td class="paramtype">float&#160;</td>
244 <td class="paramname"><em>beta</em>, </td>
245 </tr>
246 <tr>
247 <td class="paramkey"></td>
248 <td></td>
249 <td class="paramtype">int&#160;</td>
250 <td class="paramname"><em>axis</em>&#160;</td>
251 </tr>
252 <tr>
253 <td></td>
254 <td>)</td>
255 <td></td><td></td>
256 </tr>
257 </table>
258</div><div class="memdoc">
259
260<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.html#l00331">331</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.html">SoftmaxTestImpl.cpp</a>.</p>
261<div class="fragment"><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160;{</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputShape;</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; std::vector&lt;float&gt; inputData;</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; std::vector&lt;float&gt; outputData;</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; <span class="keywordflow">switch</span> (axis)</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; {</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; <span class="keywordflow">case</span> -3:</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; <span class="keywordflow">case</span> 0:</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; inputShape = {5, 2, 2};</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160;</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; inputData =</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; {</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160; 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>&#160;</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; 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>&#160; };</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160;</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>&#160; outputData =</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>&#160; {</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>&#160; 0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.643914213228014f,</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>&#160; 0.236882800924671f,</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>&#160; 0.236882800924671f, 0.236882800924671f, 0.236882800924671f, 0.087144312427294f,</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160; 0.087144312427294f,</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160;</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; 0.087144312427294f, 0.087144312427294f, 0.032058600957022f, 0.032058600957022f,</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160; 0.032058600957022f,</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>&#160; 0.032058600957022f, 7.246299848982885e-08f, 7.246299848982885e-08f, 7.246299848982885e-08f,</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>&#160; 7.246299848982885e-08f</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>&#160; };</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>&#160; }</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160; <span class="keywordflow">case</span> -2:</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; <span class="keywordflow">case</span> 1:</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; {</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160; inputShape = {2, 5, 2};</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>&#160;</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>&#160; inputData =</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>&#160; {</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>&#160; 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>&#160;</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160; 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>&#160; };</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160;</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160; outputData =</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>&#160; {</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>&#160; 0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>&#160; 0.087144312427294f,</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160; 0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f,</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160; 7.246299848982885e-08f,</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160;</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; 0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; 0.087144312427294f,</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; 0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f,</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; 7.246299848982885e-08f</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; };</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160; }</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160; <span class="keywordflow">case</span> -1:</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160; <span class="keywordflow">case</span> 2:</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160; {</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; inputShape = {2, 2, 5};</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160;</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160; inputData =</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160; {</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160; 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>&#160; 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>&#160; };</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160;</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; outputData =</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; {</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; 7.246299848982885e-08f,</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160; 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; 7.246299848982885e-08f,</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160;</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160; 7.246299848982885e-08f,</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; 7.246299848982885e-08f</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160; };</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; }</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160; }</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160;</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; <span class="keywordflow">return</span> Simple3dSoftmaxTestImpl&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, beta,</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160; inputShape, outputData, inputData, axis);</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
262</div><!-- fragment -->
263</div>
264</div>
265<a id="a2c83aa074ca45a521e8253ddf61cdeb2"></a>
266<h2 class="memtitle"><span class="permalink"><a href="#a2c83aa074ca45a521e8253ddf61cdeb2">&#9670;&nbsp;</a></span>Simple3dSoftmaxFloat16Test()</h2>
267
268<div class="memitem">
269<div class="memproto">
270 <table class="memname">
271 <tr>
272 <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; Simple3dSoftmaxFloat16Test </td>
273 <td>(</td>
274 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
275 <td class="paramname"><em>workloadFactory</em>, </td>
276 </tr>
277 <tr>
278 <td class="paramkey"></td>
279 <td></td>
280 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
281 <td class="paramname"><em>memoryManager</em>, </td>
282 </tr>
283 <tr>
284 <td class="paramkey"></td>
285 <td></td>
286 <td class="paramtype">float&#160;</td>
287 <td class="paramname"><em>beta</em>&#160;</td>
288 </tr>
289 <tr>
290 <td></td>
291 <td>)</td>
292 <td></td><td></td>
293 </tr>
294 </table>
295</div><div class="memdoc">
296
297<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.html#l00641">641</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.html">SoftmaxTestImpl.cpp</a>.</p>
298<div class="fragment"><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>&#160;{</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>&#160; Simple3dSoftmaxOutputData data;</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>&#160; <span class="keywordflow">return</span> Simple3dSoftmaxTestImpl&lt;armnn::DataType::Float16&gt;(workloadFactory, memoryManager, beta,</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>&#160; data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>&#160;}</div></div><!-- fragment -->
299</div>
300</div>
301<a id="a95c728251146e1f5bcddf8bd04927553"></a>
302<h2 class="memtitle"><span class="permalink"><a href="#a95c728251146e1f5bcddf8bd04927553">&#9670;&nbsp;</a></span>Simple3dSoftmaxTest()</h2>
303
304<div class="memitem">
305<div class="memproto">
306 <table class="memname">
307 <tr>
308 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float,3&gt; Simple3dSoftmaxTest </td>
309 <td>(</td>
310 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
311 <td class="paramname"><em>workloadFactory</em>, </td>
312 </tr>
313 <tr>
314 <td class="paramkey"></td>
315 <td></td>
316 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
317 <td class="paramname"><em>memoryManager</em>, </td>
318 </tr>
319 <tr>
320 <td class="paramkey"></td>
321 <td></td>
322 <td class="paramtype">float&#160;</td>
323 <td class="paramname"><em>beta</em>&#160;</td>
324 </tr>
325 <tr>
326 <td></td>
327 <td>)</td>
328 <td></td><td></td>
329 </tr>
330 </table>
331</div><div class="memdoc">
332
333<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.html#l00321">321</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.html">SoftmaxTestImpl.cpp</a>.</p>
334<div class="fragment"><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160;{</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; Simple3dSoftmaxOutputData data;</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; <span class="keywordflow">return</span> Simple3dSoftmaxTestImpl&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, beta,</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160; data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160;}</div></div><!-- fragment -->
335</div>
336</div>
337<a id="abde790042baa52b75247c30559840cbf"></a>
338<h2 class="memtitle"><span class="permalink"><a href="#abde790042baa52b75247c30559840cbf">&#9670;&nbsp;</a></span>Simple3dSoftmaxUint16Test()</h2>
339
340<div class="memitem">
341<div class="memproto">
342 <table class="memname">
343 <tr>
344 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;int16_t,3&gt; Simple3dSoftmaxUint16Test </td>
345 <td>(</td>
346 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
347 <td class="paramname"><em>workloadFactory</em>, </td>
348 </tr>
349 <tr>
350 <td class="paramkey"></td>
351 <td></td>
352 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
353 <td class="paramname"><em>memoryManager</em>, </td>
354 </tr>
355 <tr>
356 <td class="paramkey"></td>
357 <td></td>
358 <td class="paramtype">float&#160;</td>
359 <td class="paramname"><em>beta</em>&#160;</td>
360 </tr>
361 <tr>
362 <td></td>
363 <td>)</td>
364 <td></td><td></td>
365 </tr>
366 </table>
367</div><div class="memdoc">
368
369<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.html#l00669">669</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.html">SoftmaxTestImpl.cpp</a>.</p>
370<div class="fragment"><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>&#160;{</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>&#160; Simple3dSoftmaxOutputData data;</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>&#160; <span class="keywordflow">return</span> Simple3dSoftmaxTestImpl&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager, beta,</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>&#160; data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>&#160;}</div></div><!-- fragment -->
371</div>
372</div>
373<a id="a2363ddc02a7035b224ab4bbc548c7e35"></a>
374<h2 class="memtitle"><span class="permalink"><a href="#a2363ddc02a7035b224ab4bbc548c7e35">&#9670;&nbsp;</a></span>Simple3dSoftmaxUint8Test()</h2>
375
376<div class="memitem">
377<div class="memproto">
378 <table class="memname">
379 <tr>
380 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t,3&gt; Simple3dSoftmaxUint8Test </td>
381 <td>(</td>
382 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
383 <td class="paramname"><em>workloadFactory</em>, </td>
384 </tr>
385 <tr>
386 <td class="paramkey"></td>
387 <td></td>
388 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
389 <td class="paramname"><em>memoryManager</em>, </td>
390 </tr>
391 <tr>
392 <td class="paramkey"></td>
393 <td></td>
394 <td class="paramtype">float&#160;</td>
395 <td class="paramname"><em>beta</em>&#160;</td>
396 </tr>
397 <tr>
398 <td></td>
399 <td>)</td>
400 <td></td><td></td>
401 </tr>
402 </table>
403</div><div class="memdoc">
404
405<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.html#l00607">607</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.html">SoftmaxTestImpl.cpp</a>.</p>
406<div class="fragment"><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>&#160;{</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>&#160; Simple3dSoftmaxOutputData data;</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>&#160; <span class="keywordflow">return</span> Simple3dSoftmaxTestImpl&lt;armnn::DataType::QAsymmU8&gt;(</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>&#160; workloadFactory,</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>&#160; memoryManager,</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>&#160; beta,</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>&#160; data.inputShape,</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>&#160; data.outputData,</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>&#160; data.inputData);</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>&#160;}</div></div><!-- fragment -->
407</div>
408</div>
409<a id="a1dc1b7112df501f911a501ad40589215"></a>
410<h2 class="memtitle"><span class="permalink"><a href="#a1dc1b7112df501f911a501ad40589215">&#9670;&nbsp;</a></span>Simple4dAxisSoftmaxTest()</h2>
411
412<div class="memitem">
413<div class="memproto">
414 <table class="memname">
415 <tr>
416 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float,4&gt; Simple4dAxisSoftmaxTest </td>
417 <td>(</td>
418 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
419 <td class="paramname"><em>workloadFactory</em>, </td>
420 </tr>
421 <tr>
422 <td class="paramkey"></td>
423 <td></td>
424 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
425 <td class="paramname"><em>memoryManager</em>, </td>
426 </tr>
427 <tr>
428 <td class="paramkey"></td>
429 <td></td>
430 <td class="paramtype">float&#160;</td>
431 <td class="paramname"><em>beta</em>, </td>
432 </tr>
433 <tr>
434 <td class="paramkey"></td>
435 <td></td>
436 <td class="paramtype">int&#160;</td>
437 <td class="paramname"><em>axis</em>&#160;</td>
438 </tr>
439 <tr>
440 <td></td>
441 <td>)</td>
442 <td></td><td></td>
443 </tr>
444 </table>
445</div><div class="memdoc">
446
447<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.html#l00435">435</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.html">SoftmaxTestImpl.cpp</a>.</p>
448<div class="fragment"><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160;{</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputShape;</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160; std::vector&lt;float&gt; inputData;</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160; std::vector&lt;float&gt; outputData;</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160; <span class="keywordflow">switch</span> (axis)</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160; {</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160; <span class="keywordflow">case</span> -4:</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160; <span class="keywordflow">case</span> 0:</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; {</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; inputShape = {5, 2, 2, 2};</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160;</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160; inputData =</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>&#160; {</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160; 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>&#160; 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>&#160; 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>&#160; 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>&#160; };</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>&#160;</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>&#160; outputData =</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160; {</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>&#160; 0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.643914213228014f,</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160; 0.643914213228014f,</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>&#160; 0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.236882800924671f,</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160; 0.236882800924671f,</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>&#160; 0.236882800924671f, 0.236882800924671f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>&#160; 0.236882800924671f,</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>&#160; 0.236882800924671f, 0.087144312427294f, 0.087144312427294f, 0.087144312427294f,</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160; 0.087144312427294f,</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160;</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; 0.087144312427294f, 0.087144312427294f, 0.087144312427294f, 0.087144312427294f,</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160; 0.032058600957022f,</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160; 0.032058600957022f, 0.032058600957022f, 0.032058600957022f, 0.032058600957022f,</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160; 0.032058600957022f,</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160; 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f, 7.246299848982885e-08f,</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>&#160; 7.246299848982885e-08f,</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160; 7.246299848982885e-08f, 7.246299848982885e-08f, 7.246299848982885e-08f,</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160; 7.246299848982885e-08f, 7.246299848982885e-08f</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160; };</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160; }</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160; <span class="keywordflow">case</span> -3:</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>&#160; <span class="keywordflow">case</span> 1:</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160; {</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160; inputShape = {2, 5, 2, 2};</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160;</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>&#160; inputData =</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>&#160; {</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>&#160; 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>&#160; 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>&#160; 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>&#160; 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>&#160; };</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160;</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>&#160; outputData =</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160; {</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>&#160; 0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.643914213228014f,</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160; 0.236882800924671f,</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160; 0.236882800924671f, 0.236882800924671f, 0.236882800924671f, 0.087144312427294f,</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160; 0.087144312427294f,</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160; 0.087144312427294f, 0.087144312427294f, 0.032058600957022f, 0.032058600957022f,</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160; 0.032058600957022f,</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160; 0.032058600957022f, 7.246299848982885e-08f, 7.246299848982885e-08f, 7.246299848982885e-08f,</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160; 7.246299848982885e-08f,</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160;</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160;</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160; 0.643914213228014f, 0.643914213228014f, 0.643914213228014f, 0.643914213228014f,</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160; 0.236882800924671f,</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>&#160; 0.236882800924671f, 0.236882800924671f, 0.236882800924671f, 0.087144312427294f,</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160; 0.087144312427294f,</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>&#160; 0.087144312427294f, 0.087144312427294f, 0.032058600957022f, 0.032058600957022f,</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160; 0.032058600957022f,</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160; 0.032058600957022f, 7.246299848982885e-08f, 7.246299848982885e-08f, 7.246299848982885e-08f,</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>&#160; 7.246299848982885e-08f</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>&#160; };</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>&#160; }</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>&#160; <span class="keywordflow">case</span> -2:</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>&#160; <span class="keywordflow">case</span> 2:</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>&#160; {</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>&#160; inputShape = {2, 2, 5, 2};</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>&#160;</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>&#160; inputData =</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>&#160; {</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>&#160; 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>&#160; 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>&#160; 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>&#160; 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>&#160; };</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>&#160;</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>&#160; outputData =</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>&#160; {</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>&#160; 0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>&#160; 0.087144312427294f,</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>&#160; 0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f,</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>&#160; 7.246299848982885e-08f,</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>&#160; 0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>&#160; 0.087144312427294f,</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160; 0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f,</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160; 7.246299848982885e-08f,</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>&#160;</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>&#160; 0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>&#160; 0.087144312427294f,</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>&#160; 0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f,</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>&#160; 7.246299848982885e-08f,</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160; 0.643914213228014f, 0.643914213228014f, 0.236882800924671f, 0.236882800924671f,</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160; 0.087144312427294f,</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160; 0.087144312427294f, 0.032058600957022f, 0.032058600957022f, 7.246299848982885e-08f,</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>&#160; 7.246299848982885e-08f</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160; };</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160; }</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160; <span class="keywordflow">case</span> -1:</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160; <span class="keywordflow">case</span> 3:</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160; {</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160; inputShape = {2, 2, 2, 5};</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>&#160;</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>&#160; inputData =</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>&#160; {</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>&#160; 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>&#160; 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>&#160; 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>&#160; 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>&#160; };</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>&#160;</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>&#160; outputData =</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>&#160; {</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>&#160; 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160; 7.246299848982885e-08f,</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>&#160; 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>&#160; 7.246299848982885e-08f,</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>&#160; 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>&#160; 7.246299848982885e-08f,</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>&#160; 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>&#160; 7.246299848982885e-08f,</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>&#160;</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>&#160; 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>&#160; 7.246299848982885e-08f,</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>&#160; 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>&#160; 7.246299848982885e-08f,</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>&#160; 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>&#160; 7.246299848982885e-08f,</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>&#160; 0.643914213228014f, 0.236882800924671f, 0.087144312427294f, 0.032058600957022f,</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>&#160; 7.246299848982885e-08f</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>&#160; };</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>&#160; }</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>&#160; }</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>&#160;</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>&#160; <span class="keywordflow">return</span> Simple4dSoftmaxTestImpl&lt;armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>&#160; workloadFactory,</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>&#160; memoryManager,</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>&#160; beta,</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>&#160; inputShape,</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>&#160; outputData,</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>&#160; inputData,</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>&#160; axis);</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
449</div><!-- fragment -->
450</div>
451</div>
452<a id="a9457b55b18827c741d53f42e36d4a2d1"></a>
453<h2 class="memtitle"><span class="permalink"><a href="#a9457b55b18827c741d53f42e36d4a2d1">&#9670;&nbsp;</a></span>Simple4dSoftmaxFloat16Test()</h2>
454
455<div class="memitem">
456<div class="memproto">
457 <table class="memname">
458 <tr>
459 <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>,4&gt; Simple4dSoftmaxFloat16Test </td>
460 <td>(</td>
461 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
462 <td class="paramname"><em>workloadFactory</em>, </td>
463 </tr>
464 <tr>
465 <td class="paramkey"></td>
466 <td></td>
467 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
468 <td class="paramname"><em>memoryManager</em>, </td>
469 </tr>
470 <tr>
471 <td class="paramkey"></td>
472 <td></td>
473 <td class="paramtype">float&#160;</td>
474 <td class="paramname"><em>beta</em>&#160;</td>
475 </tr>
476 <tr>
477 <td></td>
478 <td>)</td>
479 <td></td><td></td>
480 </tr>
481 </table>
482</div><div class="memdoc">
483
484<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.html#l00651">651</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.html">SoftmaxTestImpl.cpp</a>.</p>
485<div class="fragment"><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>&#160;{</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>&#160; Simple4dSoftmaxData data;</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>&#160; <span class="keywordflow">return</span> Simple4dSoftmaxTestImpl&lt;armnn::DataType::Float16&gt;(workloadFactory, memoryManager, beta,</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>&#160; data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>&#160;}</div></div><!-- fragment -->
486</div>
487</div>
488<a id="a0d366093ec6ca27079466c811151665c"></a>
489<h2 class="memtitle"><span class="permalink"><a href="#a0d366093ec6ca27079466c811151665c">&#9670;&nbsp;</a></span>Simple4dSoftmaxTest()</h2>
490
491<div class="memitem">
492<div class="memproto">
493 <table class="memname">
494 <tr>
495 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float,4&gt; Simple4dSoftmaxTest </td>
496 <td>(</td>
497 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
498 <td class="paramname"><em>workloadFactory</em>, </td>
499 </tr>
500 <tr>
501 <td class="paramkey"></td>
502 <td></td>
503 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
504 <td class="paramname"><em>memoryManager</em>, </td>
505 </tr>
506 <tr>
507 <td class="paramkey"></td>
508 <td></td>
509 <td class="paramtype">float&#160;</td>
510 <td class="paramname"><em>beta</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="_softmax_test_impl_8cpp_source.html#l00425">425</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.html">SoftmaxTestImpl.cpp</a>.</p>
521<div class="fragment"><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160;{</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160; Simple4dSoftmaxData data;</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160; <span class="keywordflow">return</span> Simple4dSoftmaxTestImpl&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, beta, data.inputShape,</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160; data.outputData, data.inputData);</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160;}</div></div><!-- fragment -->
522</div>
523</div>
524<a id="a418bae8de268bfed7d215c884c1373ea"></a>
525<h2 class="memtitle"><span class="permalink"><a href="#a418bae8de268bfed7d215c884c1373ea">&#9670;&nbsp;</a></span>Simple4dSoftmaxUint16Test()</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;int16_t,4&gt; Simple4dSoftmaxUint16Test </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>, </td>
541 </tr>
542 <tr>
543 <td class="paramkey"></td>
544 <td></td>
545 <td class="paramtype">float&#160;</td>
546 <td class="paramname"><em>beta</em>&#160;</td>
547 </tr>
548 <tr>
549 <td></td>
550 <td>)</td>
551 <td></td><td></td>
552 </tr>
553 </table>
554</div><div class="memdoc">
555
556<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.html#l00679">679</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.html">SoftmaxTestImpl.cpp</a>.</p>
557<div class="fragment"><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>&#160;{</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>&#160; Simple4dSoftmaxData data;</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>&#160;</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>&#160; <span class="keywordflow">return</span> Simple4dSoftmaxTestImpl&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager, beta,</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>&#160; data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>&#160;}</div></div><!-- fragment -->
558</div>
559</div>
560<a id="abbe2d209a74d323f9243c1943dfd429e"></a>
561<h2 class="memtitle"><span class="permalink"><a href="#abbe2d209a74d323f9243c1943dfd429e">&#9670;&nbsp;</a></span>Simple4dSoftmaxUint8Test()</h2>
562
563<div class="memitem">
564<div class="memproto">
565 <table class="memname">
566 <tr>
567 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t,4&gt; Simple4dSoftmaxUint8Test </td>
568 <td>(</td>
569 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
570 <td class="paramname"><em>workloadFactory</em>, </td>
571 </tr>
572 <tr>
573 <td class="paramkey"></td>
574 <td></td>
575 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
576 <td class="paramname"><em>memoryManager</em>, </td>
577 </tr>
578 <tr>
579 <td class="paramkey"></td>
580 <td></td>
581 <td class="paramtype">float&#160;</td>
582 <td class="paramname"><em>beta</em>&#160;</td>
583 </tr>
584 <tr>
585 <td></td>
586 <td>)</td>
587 <td></td><td></td>
588 </tr>
589 </table>
590</div><div class="memdoc">
591
592<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.html#l00622">622</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.html">SoftmaxTestImpl.cpp</a>.</p>
593<div class="fragment"><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>&#160;{</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>&#160; Simple4dSoftmaxData data;</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>&#160;</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>&#160; <span class="keywordflow">return</span> Simple4dSoftmaxTestImpl&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, beta,</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>&#160; data.inputShape, data.outputData, data.inputData);</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>&#160;}</div></div><!-- fragment -->
594</div>
595</div>
596<a id="a493bef3f5fc0d657b0a5fe29e58dcbdf"></a>
597<h2 class="memtitle"><span class="permalink"><a href="#a493bef3f5fc0d657b0a5fe29e58dcbdf">&#9670;&nbsp;</a></span>SimpleAxisSoftmaxTest()</h2>
598
599<div class="memitem">
600<div class="memproto">
601 <table class="memname">
602 <tr>
603 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float,2&gt; SimpleAxisSoftmaxTest </td>
604 <td>(</td>
605 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
606 <td class="paramname"><em>workloadFactory</em>, </td>
607 </tr>
608 <tr>
609 <td class="paramkey"></td>
610 <td></td>
611 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
612 <td class="paramname"><em>memoryManager</em>, </td>
613 </tr>
614 <tr>
615 <td class="paramkey"></td>
616 <td></td>
617 <td class="paramtype">float&#160;</td>
618 <td class="paramname"><em>beta</em>, </td>
619 </tr>
620 <tr>
621 <td class="paramkey"></td>
622 <td></td>
623 <td class="paramtype">int&#160;</td>
624 <td class="paramname"><em>axis</em>&#160;</td>
625 </tr>
626 <tr>
627 <td></td>
628 <td>)</td>
629 <td></td><td></td>
630 </tr>
631 </table>
632</div><div class="memdoc">
633
634<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.html#l00312">312</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.html">SoftmaxTestImpl.cpp</a>.</p>
635<div class="fragment"><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160;{</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160; <span class="keywordflow">return</span> SimpleSoftmaxTestImpl&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, beta, axis);</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160;}</div></div><!-- fragment -->
636</div>
637</div>
638<a id="a28b9861c52ee758d11db282794b21306"></a>
639<h2 class="memtitle"><span class="permalink"><a href="#a28b9861c52ee758d11db282794b21306">&#9670;&nbsp;</a></span>SimpleSoftmaxFloat16Test()</h2>
640
641<div class="memitem">
642<div class="memproto">
643 <table class="memname">
644 <tr>
645 <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>,2&gt; SimpleSoftmaxFloat16Test </td>
646 <td>(</td>
647 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
648 <td class="paramname"><em>workloadFactory</em>, </td>
649 </tr>
650 <tr>
651 <td class="paramkey"></td>
652 <td></td>
653 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
654 <td class="paramname"><em>memoryManager</em>, </td>
655 </tr>
656 <tr>
657 <td class="paramkey"></td>
658 <td></td>
659 <td class="paramtype">float&#160;</td>
660 <td class="paramname"><em>beta</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="_softmax_test_impl_8cpp_source.html#l00633">633</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.html">SoftmaxTestImpl.cpp</a>.</p>
671<div class="fragment"><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>&#160;{</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>&#160; <span class="keywordflow">return</span> SimpleSoftmaxTestImpl&lt;armnn::DataType::Float16&gt;(workloadFactory, memoryManager, beta);</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>&#160;}</div></div><!-- fragment -->
672</div>
673</div>
674<a id="a49081ef56cfc5fafad212dfbce4f259b"></a>
675<h2 class="memtitle"><span class="permalink"><a href="#a49081ef56cfc5fafad212dfbce4f259b">&#9670;&nbsp;</a></span>SimpleSoftmaxTest()</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,2&gt; SimpleSoftmaxTest </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>, </td>
691 </tr>
692 <tr>
693 <td class="paramkey"></td>
694 <td></td>
695 <td class="paramtype">float&#160;</td>
696 <td class="paramname"><em>beta</em>&#160;</td>
697 </tr>
698 <tr>
699 <td></td>
700 <td>)</td>
701 <td></td><td></td>
702 </tr>
703 </table>
704</div><div class="memdoc">
705
706<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.html#l00304">304</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.html">SoftmaxTestImpl.cpp</a>.</p>
707<div class="fragment"><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160;{</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; <span class="keywordflow">return</span> SimpleSoftmaxTestImpl&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, beta);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160;}</div></div><!-- fragment -->
708</div>
709</div>
710<a id="a55ce19436218d7abbbc53b5f66c2b7fe"></a>
711<h2 class="memtitle"><span class="permalink"><a href="#a55ce19436218d7abbbc53b5f66c2b7fe">&#9670;&nbsp;</a></span>SimpleSoftmaxUint16Test()</h2>
712
713<div class="memitem">
714<div class="memproto">
715 <table class="memname">
716 <tr>
717 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;int16_t,2&gt; SimpleSoftmaxUint16Test </td>
718 <td>(</td>
719 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
720 <td class="paramname"><em>workloadFactory</em>, </td>
721 </tr>
722 <tr>
723 <td class="paramkey"></td>
724 <td></td>
725 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
726 <td class="paramname"><em>memoryManager</em>, </td>
727 </tr>
728 <tr>
729 <td class="paramkey"></td>
730 <td></td>
731 <td class="paramtype">float&#160;</td>
732 <td class="paramname"><em>beta</em>&#160;</td>
733 </tr>
734 <tr>
735 <td></td>
736 <td>)</td>
737 <td></td><td></td>
738 </tr>
739 </table>
740</div><div class="memdoc">
741
742<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.html#l00661">661</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.html">SoftmaxTestImpl.cpp</a>.</p>
743<div class="fragment"><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>&#160;{</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>&#160; <span class="keywordflow">return</span> SimpleSoftmaxTestImpl&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager, beta);</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>&#160;}</div></div><!-- fragment -->
744</div>
745</div>
746<a id="ae89aa2e8ca6da83261a62781ad26352d"></a>
747<h2 class="memtitle"><span class="permalink"><a href="#ae89aa2e8ca6da83261a62781ad26352d">&#9670;&nbsp;</a></span>SimpleSoftmaxUint8Test()</h2>
748
749<div class="memitem">
750<div class="memproto">
751 <table class="memname">
752 <tr>
753 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t,2&gt; SimpleSoftmaxUint8Test </td>
754 <td>(</td>
755 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
756 <td class="paramname"><em>workloadFactory</em>, </td>
757 </tr>
758 <tr>
759 <td class="paramkey"></td>
760 <td></td>
761 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
762 <td class="paramname"><em>memoryManager</em>, </td>
763 </tr>
764 <tr>
765 <td class="paramkey"></td>
766 <td></td>
767 <td class="paramtype">float&#160;</td>
768 <td class="paramname"><em>beta</em>&#160;</td>
769 </tr>
770 <tr>
771 <td></td>
772 <td>)</td>
773 <td></td><td></td>
774 </tr>
775 </table>
776</div><div class="memdoc">
777
778<p class="definition">Definition at line <a class="el" href="_softmax_test_impl_8cpp_source.html#l00599">599</a> of file <a class="el" href="_softmax_test_impl_8cpp_source.html">SoftmaxTestImpl.cpp</a>.</p>
779<div class="fragment"><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>&#160;{</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>&#160; <span class="keywordflow">return</span> SimpleSoftmaxTestImpl&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, beta);</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>&#160;}</div></div><!-- fragment -->
780</div>
781</div>
782</div><!-- contents -->
783</div><!-- doc-content -->
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