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<div class="title">ReshapeTestImpl.hpp File Reference</div> </div>
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<div class="textblock"><code>#include &quot;<a class="el" href="_layer_test_result_8hpp_source.xhtml">LayerTestResult.hpp</a>&quot;</code><br />
<code>#include &lt;<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml">armnn/backends/IBackendInternal.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="_workload_factory_8hpp_source.xhtml">backendsCommon/WorkloadFactory.hpp</a>&gt;</code><br />
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<p><a href="_reshape_test_impl_8hpp_source.xhtml">Go to the source code of this file.</a></p>
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Functions</h2></td></tr>
<tr class="memitem:abbb388623c736a39bbc9d81e2d54f0c1"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
<tr class="memitem:abbb388623c736a39bbc9d81e2d54f0c1"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_reshape_test_impl_8hpp.xhtml#abbb388623c736a39bbc9d81e2d54f0c1">SimpleReshapeTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory)</td></tr>
<tr class="separator:abbb388623c736a39bbc9d81e2d54f0c1"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3e0405da9aaae45a40114d7913df1dd6"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
<tr class="memitem:a3e0405da9aaae45a40114d7913df1dd6"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 5 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_reshape_test_impl_8hpp.xhtml#a3e0405da9aaae45a40114d7913df1dd6">Reshape5dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory)</td></tr>
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<tr class="memitem:a27004e00b2de40a51e36bc977c12d3cd"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_reshape_test_impl_8hpp.xhtml#a27004e00b2de40a51e36bc977c12d3cd">ReshapeBooleanTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory)</td></tr>
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<h2 class="groupheader">Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a3e0405da9aaae45a40114d7913df1dd6">&#9670;&nbsp;</a></span>Reshape5dTest()</h2>
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<td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 5&gt; Reshape5dTest </td>
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<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
<td class="paramname"><em>memoryManager</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
<td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
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<p class="definition">Definition at line <a class="el" href="_reshape_test_impl_8cpp_source.xhtml#l00111">111</a> of file <a class="el" href="_reshape_test_impl_8cpp_source.xhtml">ReshapeTestImpl.cpp</a>.</p>
<p class="reference">References <a class="el" href="_tensor_8cpp_source.xhtml#l00475">TensorInfo::SetQuantizationScale()</a>.</p>
<div class="fragment"><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;{</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 2, 2, 8, 1, 1 };</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 2, 2, 2, 2, 2 };</div><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; inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(5, inputShape, ArmnnType);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(5, outputShape, ArmnnType);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</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="keyword">auto</span> input = ConvertToDataType&lt;ArmnnType&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; 0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f,</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; 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; 24.0f, 25.0f, 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, 31.0f,</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; inputTensorInfo);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <span class="keyword">auto</span> outputExpected = ConvertToDataType&lt;ArmnnType&gt;(</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; 0.0f, 1.0f,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; 2.0f, 3.0f,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; 4.0f, 5.0f,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; 6.0f, 7.0f,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;</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; 8.0f, 9.0f,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; 10.0f, 11.0f,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; 12.0f, 13.0f,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; 14.0f, 15.0f,</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; 16.0f, 17.0f,</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; 18.0f, 19.0f,</div><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; 20.0f, 21.0f,</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; 22.0f, 23.0f,</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;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; 24.0f, 25.0f,</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; 26.0f, 27.0f,</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; 28.0f, 29.0f,</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; 30.0f, 31.0f,</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; outputTensorInfo);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <span class="keywordflow">return</span> SimpleReshapeTestImpl&lt;T, 5&gt;(</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; workloadFactory, memoryManager, tensorHandleFactory, inputTensorInfo, outputTensorInfo, input, outputExpected);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00475">Tensor.cpp:475</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a27004e00b2de40a51e36bc977c12d3cd">&#9670;&nbsp;</a></span>ReshapeBooleanTest()</h2>
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<td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 2&gt; ReshapeBooleanTest </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
<td class="paramname"><em>memoryManager</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
<td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
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<p class="definition">Definition at line <a class="el" href="_reshape_test_impl_8cpp_source.xhtml#l00173">173</a> of file <a class="el" href="_reshape_test_impl_8cpp_source.xhtml">ReshapeTestImpl.cpp</a>.</p>
<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00475">TensorInfo::SetQuantizationScale()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p>
<div class="fragment"><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160;{</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 1, 4 };</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 2, 2 };</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(2, inputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(2, outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160;</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; <span class="keyword">const</span> std::vector&lt;uint8_t&gt; input = { <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span> };</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160;</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; <span class="keyword">const</span> std::vector&lt;uint8_t&gt; outputExpected = { <span class="keyword">true</span>, <span class="keyword">false</span>, <span class="keyword">false</span>, <span class="keyword">true</span> };</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <span class="keywordflow">return</span> SimpleReshapeTestImpl&lt;uint8_t, 2&gt;(</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; workloadFactory, memoryManager, tensorHandleFactory, inputTensorInfo, outputTensorInfo, input, outputExpected);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00475">Tensor.cpp:475</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#abbb388623c736a39bbc9d81e2d54f0c1">&#9670;&nbsp;</a></span>SimpleReshapeTest()</h2>
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<td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; SimpleReshapeTest </td>
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<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
<td class="paramname"><em>memoryManager</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
<td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
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<p class="definition">Definition at line <a class="el" href="_reshape_test_impl_8cpp_source.xhtml#l00058">58</a> of file <a class="el" href="_reshape_test_impl_8cpp_source.xhtml">ReshapeTestImpl.cpp</a>.</p>
<p class="reference">References <a class="el" href="_tensor_8cpp_source.xhtml#l00475">TensorInfo::SetQuantizationScale()</a>.</p>
<div class="fragment"><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;{</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 2, 2, 3, 3 };</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 2, 2, 9, 1 };</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keyword">auto</span> input = ConvertToDataType&lt;ArmnnType&gt;(</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; 0.0f, 1.0f, 2.0f,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; 9.0f, 10.0f, 11.0f,</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; 12.0f, 13.0f, 14.0f,</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; 15.0f, 16.0f, 17.0f,</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; 18.0f, 19.0f, 20.0f,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; 21.0f, 22.0f, 23.0f,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; 24.0f, 25.0f, 26.0f,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; 27.0f, 28.0f, 29.0f,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; 30.0f, 31.0f, 32.0f,</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; 33.0f, 34.0f, 35.0f,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; },</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; inputTensorInfo);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keyword">auto</span> outputExpected = ConvertToDataType&lt;ArmnnType&gt;(</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; {</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; 0.0f, 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f,</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; 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f,</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; 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, 26.0f,</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; 27.0f, 28.0f, 29.0f, 30.0f, 31.0f, 32.0f, 33.0f, 34.0f, 35.0f,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; },</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; outputTensorInfo);</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; <span class="keywordflow">return</span> SimpleReshapeTestImpl&lt;T, 4&gt;(</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; workloadFactory, memoryManager, tensorHandleFactory, inputTensorInfo, outputTensorInfo, input, outputExpected);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00475">Tensor.cpp:475</a></div></div>
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