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| <div class="title">ArgMinMaxTestImpl.hpp File Reference</div> </div> |
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| <div class="textblock"><code>#include "<a class="el" href="_layer_test_result_8hpp_source.html">LayerTestResult.hpp</a>"</code><br /> |
| <code>#include <<a class="el" href="_resolve_type_8hpp_source.html">ResolveType.hpp</a>></code><br /> |
| <code>#include <<a class="el" href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.html">armnn/backends/IBackendInternal.hpp</a>></code><br /> |
| <code>#include <<a class="el" href="_workload_factory_8hpp_source.html">backendsCommon/WorkloadFactory.hpp</a>></code><br /> |
| </div> |
| <p><a href="_arg_min_max_test_impl_8hpp_source.html">Go to the source code of this file.</a></p> |
| <table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> |
| Functions</h2></td></tr> |
| <tr class="memitem:a6e5d88259b3850369b5a20071011df8d"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| <tr class="memitem:a6e5d88259b3850369b5a20071011df8d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< int32_t, 3 > </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> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| <tr class="separator:a6e5d88259b3850369b5a20071011df8d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a1fc3e309bafd760c40cec0e98d995529"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| <tr class="memitem:a1fc3e309bafd760c40cec0e98d995529"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< int32_t, 3 > </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> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| <tr class="separator:a1fc3e309bafd760c40cec0e98d995529"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad1a3228fc6f2d00c816a6f11ff1092ec"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| <tr class="memitem:ad1a3228fc6f2d00c816a6f11ff1092ec"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< int32_t, 3 > </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> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| <tr class="separator:ad1a3228fc6f2d00c816a6f11ff1092ec"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:abecc0d9c322f12e6318c71e1b2743c4d"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| <tr class="memitem:abecc0d9c322f12e6318c71e1b2743c4d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< int32_t, 3 > </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> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| <tr class="separator:abecc0d9c322f12e6318c71e1b2743c4d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a90b0a2e001da0237a81ea1ae918d767e"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| <tr class="memitem:a90b0a2e001da0237a81ea1ae918d767e"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< int32_t, 3 > </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> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| <tr class="separator:a90b0a2e001da0237a81ea1ae918d767e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aba0c3336ffd8a44dc4ab7d61a32fd5c2"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> |
| <tr class="memitem:aba0c3336ffd8a44dc4ab7d61a32fd5c2"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>< int32_t, 3 > </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> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> |
| <tr class="separator:aba0c3336ffd8a44dc4ab7d61a32fd5c2"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <h2 class="groupheader">Function Documentation</h2> |
| <a id="abecc0d9c322f12e6318c71e1b2743c4d"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#abecc0d9c322f12e6318c71e1b2743c4d">◆ </a></span>ArgMaxChannelTest()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><int32_t, 3> ArgMaxChannelTest </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| <td class="paramname"><em>workloadFactory</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| <td class="paramname"><em>memoryManager</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_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> |
| |
| <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> |
| <div class="fragment"><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> {</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <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>  <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> </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <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> </div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  {</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  }</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <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> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  std::vector<float> inputValues({ 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  10.0f, 20.0f, 30.0f, 40.0f,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  50.0f, 60.0f, 70.0f, 80.0f,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  100.0f, 200.0f, 300.0f, 400.0f,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  500.0f, 600.0f, 700.0f, 800.0f });</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  std::vector<int32_t> outputValues({ 2, 2, 2, 2,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  2, 2, 2, 2 });</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">return</span> ArgMinMaxTestCommon<ArmnnType>(workloadFactory, memoryManager,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a>,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  inputValues, outputValues, 1);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> }</div><div class="ttc" id="namespacearmnn_html_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div></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> |
| <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></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> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a90b0a2e001da0237a81ea1ae918d767e"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a90b0a2e001da0237a81ea1ae918d767e">◆ </a></span>ArgMaxHeightTest()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><int32_t, 3> ArgMaxHeightTest </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| <td class="paramname"><em>workloadFactory</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| <td class="paramname"><em>memoryManager</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <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> |
| |
| <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> |
| <div class="fragment"><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> {</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <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>  <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> </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <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>  <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> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  {</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  }</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  std::vector<float> inputValues({ 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  10.0f, 20.0f, 30.0f, 40.0f,</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  50.0f, 60.0f, 70.0f, 80.0f,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  100.0f, 200.0f, 300.0f, 400.0f,</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  500.0f, 600.0f, 700.0f, 800.0f });</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  std::vector<int32_t> outputValues({ 1, 1, 1, 1,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  1, 1, 1, 1,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  1, 1, 1, 1 });</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">return</span> ArgMinMaxTestCommon<ArmnnType>(workloadFactory, memoryManager,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a>,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  inputValues, outputValues, 2);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> }</div><div class="ttc" id="namespacearmnn_html_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div></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> |
| <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></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> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a6e5d88259b3850369b5a20071011df8d"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a6e5d88259b3850369b5a20071011df8d">◆ </a></span>ArgMaxSimpleTest()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><int32_t, 3> ArgMaxSimpleTest </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| <td class="paramname"><em>workloadFactory</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| <td class="paramname"><em>memoryManager</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
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| <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> |
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| <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> |
| <div class="fragment"><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> {</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <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>  <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> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <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> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  }</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <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> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  std::vector<float> inputValues({ 5.0f, 2.0f, 8.0f, 10.0f, 9.0f });</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  std::vector<int32_t> outputValues({ 3 });</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">return</span> ArgMinMaxTestCommon<ArmnnType>(workloadFactory, memoryManager,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a>,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  inputValues, outputValues, -1); <span class="comment">// axis -1 === 3</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> }</div><div class="ttc" id="namespacearmnn_html_ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea6a061313d22e51e0f25b7cd4dc065233">armnn::ArgMinMaxFunction::Max</a></div></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> |
| <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></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> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a id="ad1a3228fc6f2d00c816a6f11ff1092ec"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad1a3228fc6f2d00c816a6f11ff1092ec">◆ </a></span>ArgMinChannelTest()</h2> |
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| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><int32_t, 3> ArgMinChannelTest </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| <td class="paramname"><em>workloadFactory</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| <td class="paramname"><em>memoryManager</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
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| <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> |
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| <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> |
| <div class="fragment"><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> {</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <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>  <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> </div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <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> </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  }</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <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> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  std::vector<float> inputValues({ 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  10.0f, 20.0f, 30.0f, 40.0f,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  50.0f, 60.0f, 70.0f, 80.0f,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  100.0f, 200.0f, 300.0f, 400.0f,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  500.0f, 600.0f, 700.0f, 800.0f });</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  std::vector<int32_t> outputValues({ 0, 0, 0, 0,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  0, 0, 0, 0 });</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">return</span> ArgMinMaxTestCommon<ArmnnType>(workloadFactory, memoryManager,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a>,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  inputValues, outputValues, 1);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> }</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> |
| <div class="ttc" id="namespacearmnn_html_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></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> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a1fc3e309bafd760c40cec0e98d995529"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a1fc3e309bafd760c40cec0e98d995529">◆ </a></span>ArgMinSimpleTest()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><int32_t, 3> ArgMinSimpleTest </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| <td class="paramname"><em>workloadFactory</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| <td class="paramname"><em>memoryManager</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
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| <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> |
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| <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> |
| <div class="fragment"><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> {</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <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>  <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> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <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> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  }</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <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> </div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  std::vector<float> inputValues({ 5.0f, 2.0f, 8.0f, 10.0f, 9.0f });</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  std::vector<int32_t> outputValues({ 1 });</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordflow">return</span> ArgMinMaxTestCommon<ArmnnType>(workloadFactory, memoryManager,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a>,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  inputValues, outputValues, 3);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> }</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> |
| <div class="ttc" id="namespacearmnn_html_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></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> |
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| <a id="aba0c3336ffd8a44dc4ab7d61a32fd5c2"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aba0c3336ffd8a44dc4ab7d61a32fd5c2">◆ </a></span>ArgMinWidthTest()</h2> |
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| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a><int32_t, 3> ArgMinWidthTest </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & </td> |
| <td class="paramname"><em>workloadFactory</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> |
| <td class="paramname"><em>memoryManager</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
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| <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> |
| |
| <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> |
| <div class="fragment"><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> {</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <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>  <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> </div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <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>  <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> </div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  {</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  }</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> </div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  std::vector<float> inputValues({ 1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  10.0f, 20.0f, 30.0f, 40.0f,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  50.0f, 60.0f, 70.0f, 80.0f,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  100.0f, 200.0f, 300.0f, 400.0f,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  500.0f, 600.0f, 700.0f, 800.0f });</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  std::vector<int32_t> outputValues({ 0, 0,</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  0, 0,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  0, 0 });</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> </div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">return</span> ArgMinMaxTestCommon<ArmnnType>(workloadFactory, memoryManager,</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a>,</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  inputTensorInfo, outputTensorInfo,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  inputValues, outputValues, 3);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> }</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> |
| <div class="ttc" id="namespacearmnn_html_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.html#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div></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> |
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