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84<a href="#func-members">Functions</a> </div>
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86<div class="title">ArgMinMaxTestImpl.hpp File Reference</div> </div>
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88<div class="contents">
89<div class="textblock"><code>#include &quot;<a class="el" href="_layer_test_result_8hpp_source.html">LayerTestResult.hpp</a>&quot;</code><br />
90<code>#include &lt;<a class="el" href="_resolve_type_8hpp_source.html">ResolveType.hpp</a>&gt;</code><br />
91<code>#include &lt;<a class="el" href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.html">armnn/backends/IBackendInternal.hpp</a>&gt;</code><br />
92<code>#include &lt;<a class="el" href="_workload_factory_8hpp_source.html">backendsCommon/WorkloadFactory.hpp</a>&gt;</code><br />
93</div>
94<p><a href="_arg_min_max_test_impl_8hpp_source.html">Go to the source code of this file.</a></p>
95<table class="memberdecls">
96<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
97Functions</h2></td></tr>
98<tr class="memitem:a6e5d88259b3850369b5a20071011df8d"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
99<tr class="memitem:a6e5d88259b3850369b5a20071011df8d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; int32_t, 3 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8hpp.html#a6e5d88259b3850369b5a20071011df8d">ArgMaxSimpleTest</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)</td></tr>
100<tr class="separator:a6e5d88259b3850369b5a20071011df8d"><td class="memSeparator" colspan="2">&#160;</td></tr>
101<tr class="memitem:a1fc3e309bafd760c40cec0e98d995529"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
102<tr class="memitem:a1fc3e309bafd760c40cec0e98d995529"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; int32_t, 3 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8hpp.html#a1fc3e309bafd760c40cec0e98d995529">ArgMinSimpleTest</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)</td></tr>
103<tr class="separator:a1fc3e309bafd760c40cec0e98d995529"><td class="memSeparator" colspan="2">&#160;</td></tr>
104<tr class="memitem:ad1a3228fc6f2d00c816a6f11ff1092ec"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
105<tr class="memitem:ad1a3228fc6f2d00c816a6f11ff1092ec"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; int32_t, 3 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8hpp.html#ad1a3228fc6f2d00c816a6f11ff1092ec">ArgMinChannelTest</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)</td></tr>
106<tr class="separator:ad1a3228fc6f2d00c816a6f11ff1092ec"><td class="memSeparator" colspan="2">&#160;</td></tr>
107<tr class="memitem:abecc0d9c322f12e6318c71e1b2743c4d"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
108<tr class="memitem:abecc0d9c322f12e6318c71e1b2743c4d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; int32_t, 3 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8hpp.html#abecc0d9c322f12e6318c71e1b2743c4d">ArgMaxChannelTest</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)</td></tr>
109<tr class="separator:abecc0d9c322f12e6318c71e1b2743c4d"><td class="memSeparator" colspan="2">&#160;</td></tr>
110<tr class="memitem:a90b0a2e001da0237a81ea1ae918d767e"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
111<tr class="memitem:a90b0a2e001da0237a81ea1ae918d767e"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; int32_t, 3 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8hpp.html#a90b0a2e001da0237a81ea1ae918d767e">ArgMaxHeightTest</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)</td></tr>
112<tr class="separator:a90b0a2e001da0237a81ea1ae918d767e"><td class="memSeparator" colspan="2">&#160;</td></tr>
113<tr class="memitem:aba0c3336ffd8a44dc4ab7d61a32fd5c2"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
114<tr class="memitem:aba0c3336ffd8a44dc4ab7d61a32fd5c2"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; int32_t, 3 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_arg_min_max_test_impl_8hpp.html#aba0c3336ffd8a44dc4ab7d61a32fd5c2">ArgMinWidthTest</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)</td></tr>
115<tr class="separator:aba0c3336ffd8a44dc4ab7d61a32fd5c2"><td class="memSeparator" colspan="2">&#160;</td></tr>
116</table>
117<h2 class="groupheader">Function Documentation</h2>
118<a id="abecc0d9c322f12e6318c71e1b2743c4d"></a>
119<h2 class="memtitle"><span class="permalink"><a href="#abecc0d9c322f12e6318c71e1b2743c4d">&#9670;&nbsp;</a></span>ArgMaxChannelTest()</h2>
120
121<div class="memitem">
122<div class="memproto">
123 <table class="memname">
124 <tr>
125 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;int32_t, 3&gt; ArgMaxChannelTest </td>
126 <td>(</td>
127 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
128 <td class="paramname"><em>workloadFactory</em>, </td>
129 </tr>
130 <tr>
131 <td class="paramkey"></td>
132 <td></td>
133 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
134 <td class="paramname"><em>memoryManager</em>&#160;</td>
135 </tr>
136 <tr>
137 <td></td>
138 <td>)</td>
139 <td></td><td></td>
140 </tr>
141 </table>
142</div><div class="memdoc">
143
144<p class="definition">Definition at line <a class="el" href="_arg_min_max_test_impl_8cpp_source.html#l00153">153</a> of file <a class="el" href="_arg_min_max_test_impl_8cpp_source.html">ArgMinMaxTestImpl.cpp</a>.</p>
145
146<p class="reference">References <a class="el" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::Max</a>, <a class="el" href="_tensor_8cpp_source.html#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.html#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>
147<div class="fragment"><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;{</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputShape{ 1, 3, 2, 4};</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> outputShape{ 1, 2, 4 };</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <span class="keywordflow">if</span> (armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; {</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; }</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; std::vector&lt;float&gt; inputValues({ 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; 5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; 10.0f, 20.0f, 30.0f, 40.0f,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; 50.0f, 60.0f, 70.0f, 80.0f,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; 100.0f, 200.0f, 300.0f, 400.0f,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; 500.0f, 600.0f, 700.0f, 800.0f });</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; std::vector&lt;int32_t&gt; outputValues({ 2, 2, 2, 2,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; 2, 2, 2, 2 });</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160;</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; <span class="keywordflow">return</span> ArgMinMaxTestCommon&lt;ArmnnType&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; <a class="code" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a>,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; inputValues, outputValues, 1);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160;}</div><div class="ttc" id="namespacearmnn_html_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div></div>
148<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
149<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
150<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>
151</div><!-- fragment -->
152</div>
153</div>
154<a id="a90b0a2e001da0237a81ea1ae918d767e"></a>
155<h2 class="memtitle"><span class="permalink"><a href="#a90b0a2e001da0237a81ea1ae918d767e">&#9670;&nbsp;</a></span>ArgMaxHeightTest()</h2>
156
157<div class="memitem">
158<div class="memproto">
159 <table class="memname">
160 <tr>
161 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;int32_t, 3&gt; ArgMaxHeightTest </td>
162 <td>(</td>
163 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
164 <td class="paramname"><em>workloadFactory</em>, </td>
165 </tr>
166 <tr>
167 <td class="paramkey"></td>
168 <td></td>
169 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
170 <td class="paramname"><em>memoryManager</em>&#160;</td>
171 </tr>
172 <tr>
173 <td></td>
174 <td>)</td>
175 <td></td><td></td>
176 </tr>
177 </table>
178</div><div class="memdoc">
179
180<p class="definition">Definition at line <a class="el" href="_arg_min_max_test_impl_8cpp_source.html#l00188">188</a> of file <a class="el" href="_arg_min_max_test_impl_8cpp_source.html">ArgMinMaxTestImpl.cpp</a>.</p>
181
182<p class="reference">References <a class="el" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::Max</a>, <a class="el" href="_tensor_8cpp_source.html#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.html#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>
183<div class="fragment"><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160;{</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputShape{ 1, 3, 2, 4};</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> outputShape{ 1, 3, 4 };</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <span class="keywordflow">if</span> (armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; {</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; }</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; std::vector&lt;float&gt; inputValues({ 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; 5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160;</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; 10.0f, 20.0f, 30.0f, 40.0f,</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; 50.0f, 60.0f, 70.0f, 80.0f,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; 100.0f, 200.0f, 300.0f, 400.0f,</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; 500.0f, 600.0f, 700.0f, 800.0f });</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; std::vector&lt;int32_t&gt; outputValues({ 1, 1, 1, 1,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; 1, 1, 1, 1,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; 1, 1, 1, 1 });</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160;</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; <span class="keywordflow">return</span> ArgMinMaxTestCommon&lt;ArmnnType&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <a class="code" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a>,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; inputValues, outputValues, 2);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160;}</div><div class="ttc" id="namespacearmnn_html_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div></div>
184<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
185<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
186<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>
187</div><!-- fragment -->
188</div>
189</div>
190<a id="a6e5d88259b3850369b5a20071011df8d"></a>
191<h2 class="memtitle"><span class="permalink"><a href="#a6e5d88259b3850369b5a20071011df8d">&#9670;&nbsp;</a></span>ArgMaxSimpleTest()</h2>
192
193<div class="memitem">
194<div class="memproto">
195 <table class="memname">
196 <tr>
197 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;int32_t, 3&gt; ArgMaxSimpleTest </td>
198 <td>(</td>
199 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
200 <td class="paramname"><em>workloadFactory</em>, </td>
201 </tr>
202 <tr>
203 <td class="paramkey"></td>
204 <td></td>
205 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
206 <td class="paramname"><em>memoryManager</em>&#160;</td>
207 </tr>
208 <tr>
209 <td></td>
210 <td>)</td>
211 <td></td><td></td>
212 </tr>
213 </table>
214</div><div class="memdoc">
215
216<p class="definition">Definition at line <a class="el" href="_arg_min_max_test_impl_8cpp_source.html#l00064">64</a> of file <a class="el" href="_arg_min_max_test_impl_8cpp_source.html">ArgMinMaxTestImpl.cpp</a>.</p>
217
218<p class="reference">References <a class="el" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::Max</a>, <a class="el" href="_tensor_8cpp_source.html#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.html#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>
219<div class="fragment"><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;{</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputShape{ 1, 1, 1, 5 };</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> outputShape{ 1, 1, 1 };</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keywordflow">if</span> (armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; }</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; std::vector&lt;float&gt; inputValues({ 5.0f, 2.0f, 8.0f, 10.0f, 9.0f });</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; std::vector&lt;int32_t&gt; outputValues({ 3 });</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keywordflow">return</span> ArgMinMaxTestCommon&lt;ArmnnType&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <a class="code" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a>,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; inputValues, outputValues, -1); <span class="comment">// axis -1 === 3</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;}</div><div class="ttc" id="namespacearmnn_html_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div></div>
220<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
221<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
222<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>
223</div><!-- fragment -->
224</div>
225</div>
226<a id="ad1a3228fc6f2d00c816a6f11ff1092ec"></a>
227<h2 class="memtitle"><span class="permalink"><a href="#ad1a3228fc6f2d00c816a6f11ff1092ec">&#9670;&nbsp;</a></span>ArgMinChannelTest()</h2>
228
229<div class="memitem">
230<div class="memproto">
231 <table class="memname">
232 <tr>
233 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;int32_t, 3&gt; ArgMinChannelTest </td>
234 <td>(</td>
235 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
236 <td class="paramname"><em>workloadFactory</em>, </td>
237 </tr>
238 <tr>
239 <td class="paramkey"></td>
240 <td></td>
241 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
242 <td class="paramname"><em>memoryManager</em>&#160;</td>
243 </tr>
244 <tr>
245 <td></td>
246 <td>)</td>
247 <td></td><td></td>
248 </tr>
249 </table>
250</div><div class="memdoc">
251
252<p class="definition">Definition at line <a class="el" href="_arg_min_max_test_impl_8cpp_source.html#l00118">118</a> of file <a class="el" href="_arg_min_max_test_impl_8cpp_source.html">ArgMinMaxTestImpl.cpp</a>.</p>
253
254<p class="reference">References <a class="el" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::Min</a>, <a class="el" href="_tensor_8cpp_source.html#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.html#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>
255<div class="fragment"><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160;{</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputShape{ 1, 3, 2, 4};</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> outputShape{ 1, 2, 4 };</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keywordflow">if</span> (armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; }</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; std::vector&lt;float&gt; inputValues({ 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; 5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; 10.0f, 20.0f, 30.0f, 40.0f,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; 50.0f, 60.0f, 70.0f, 80.0f,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; 100.0f, 200.0f, 300.0f, 400.0f,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; 500.0f, 600.0f, 700.0f, 800.0f });</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; std::vector&lt;int32_t&gt; outputValues({ 0, 0, 0, 0,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; 0, 0, 0, 0 });</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keywordflow">return</span> ArgMinMaxTestCommon&lt;ArmnnType&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <a class="code" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a>,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; inputValues, outputValues, 1);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
256<div class="ttc" id="namespacearmnn_html_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div>
257<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
258<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>
259</div><!-- fragment -->
260</div>
261</div>
262<a id="a1fc3e309bafd760c40cec0e98d995529"></a>
263<h2 class="memtitle"><span class="permalink"><a href="#a1fc3e309bafd760c40cec0e98d995529">&#9670;&nbsp;</a></span>ArgMinSimpleTest()</h2>
264
265<div class="memitem">
266<div class="memproto">
267 <table class="memname">
268 <tr>
269 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;int32_t, 3&gt; ArgMinSimpleTest </td>
270 <td>(</td>
271 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
272 <td class="paramname"><em>workloadFactory</em>, </td>
273 </tr>
274 <tr>
275 <td class="paramkey"></td>
276 <td></td>
277 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
278 <td class="paramname"><em>memoryManager</em>&#160;</td>
279 </tr>
280 <tr>
281 <td></td>
282 <td>)</td>
283 <td></td><td></td>
284 </tr>
285 </table>
286</div><div class="memdoc">
287
288<p class="definition">Definition at line <a class="el" href="_arg_min_max_test_impl_8cpp_source.html#l00091">91</a> of file <a class="el" href="_arg_min_max_test_impl_8cpp_source.html">ArgMinMaxTestImpl.cpp</a>.</p>
289
290<p class="reference">References <a class="el" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::Min</a>, <a class="el" href="_tensor_8cpp_source.html#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.html#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>
291<div class="fragment"><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;{</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputShape{ 1, 1, 1, 5 };</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> outputShape{ 1, 1, 1 };</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keywordflow">if</span> (armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; std::vector&lt;float&gt; inputValues({ 5.0f, 2.0f, 8.0f, 10.0f, 9.0f });</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; std::vector&lt;int32_t&gt; outputValues({ 1 });</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keywordflow">return</span> ArgMinMaxTestCommon&lt;ArmnnType&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <a class="code" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a>,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; inputValues, outputValues, 3);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
292<div class="ttc" id="namespacearmnn_html_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div>
293<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
294<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>
295</div><!-- fragment -->
296</div>
297</div>
298<a id="aba0c3336ffd8a44dc4ab7d61a32fd5c2"></a>
299<h2 class="memtitle"><span class="permalink"><a href="#aba0c3336ffd8a44dc4ab7d61a32fd5c2">&#9670;&nbsp;</a></span>ArgMinWidthTest()</h2>
300
301<div class="memitem">
302<div class="memproto">
303 <table class="memname">
304 <tr>
305 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;int32_t, 3&gt; ArgMinWidthTest </td>
306 <td>(</td>
307 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
308 <td class="paramname"><em>workloadFactory</em>, </td>
309 </tr>
310 <tr>
311 <td class="paramkey"></td>
312 <td></td>
313 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
314 <td class="paramname"><em>memoryManager</em>&#160;</td>
315 </tr>
316 <tr>
317 <td></td>
318 <td>)</td>
319 <td></td><td></td>
320 </tr>
321 </table>
322</div><div class="memdoc">
323
324<p class="definition">Definition at line <a class="el" href="_arg_min_max_test_impl_8cpp_source.html#l00223">223</a> of file <a class="el" href="_arg_min_max_test_impl_8cpp_source.html">ArgMinMaxTestImpl.cpp</a>.</p>
325
326<p class="reference">References <a class="el" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::Min</a>, <a class="el" href="_tensor_8cpp_source.html#l00275">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.html#l00259">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>
327<div class="fragment"><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160;{</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputShape{ 1, 3, 2, 4};</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> outputShape{ 1, 3, 2 };</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160;</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; <span class="keywordflow">if</span> (armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; {</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; }</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; std::vector&lt;float&gt; inputValues({ 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; 5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; 10.0f, 20.0f, 30.0f, 40.0f,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; 50.0f, 60.0f, 70.0f, 80.0f,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160;</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; 100.0f, 200.0f, 300.0f, 400.0f,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; 500.0f, 600.0f, 700.0f, 800.0f });</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; std::vector&lt;int32_t&gt; outputValues({ 0, 0,</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; 0, 0,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; 0, 0 });</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; <span class="keywordflow">return</span> ArgMinMaxTestCommon&lt;ArmnnType&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; <a class="code" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a>,</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; inputValues, outputValues, 3);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
328<div class="ttc" id="namespacearmnn_html_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div>
329<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></div>
330<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>
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339 <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.html">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.html">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.html">test</a></li><li class="navelem"><a class="el" href="dir_99a30439342d160875b21dac3498ad7f.html">layerTests</a></li><li class="navelem"><a class="el" href="_arg_min_max_test_impl_8hpp.html">ArgMinMaxTestImpl.hpp</a></li>
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