IVGCVSW-3726 Upload ArmNN Doxygen files
* Upload current ArmNN Doxygen files
Signed-off-by: Ryan OShea <Ryan.OShea2@arm.com>
Change-Id: I8989ed16ee40a99a4495b100bd009cf3e24a7285
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+<div class="title">SpaceToDepthEndToEndTestImpl.cpp File Reference</div> </div>
+</div><!--header-->
+<div class="contents">
+<div class="textblock"><code>#include "<a class="el" href="_space_to_depth_end_to_end_test_impl_8hpp_source.xhtml">SpaceToDepthEndToEndTestImpl.hpp</a>"</code><br />
+<code>#include "<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>"</code><br />
+<code>#include "<a class="el" href="_end_to_end_test_impl_8hpp_source.xhtml">EndToEndTestImpl.hpp</a>"</code><br />
+<code>#include <<a class="el" href="_i_network_8hpp_source.xhtml">armnn/INetwork.hpp</a>></code><br />
+<code>#include <<a class="el" href="_permute_8hpp_source.xhtml">armnnUtils/Permute.hpp</a>></code><br />
+<code>#include <<a class="el" href="_data_layout_indexed_8hpp_source.xhtml">armnnUtils/DataLayoutIndexed.hpp</a>></code><br />
+<code>#include <<a class="el" href="_data_layout_utils_8hpp_source.xhtml">backendsCommon/test/DataLayoutUtils.hpp</a>></code><br />
+<code>#include <<a class="el" href="_test_utils_8hpp_source.xhtml">test/TestUtils.hpp</a>></code><br />
+<code>#include <boost/test/unit_test.hpp></code><br />
+</div>
+<p><a href="_space_to_depth_end_to_end_test_impl_8cpp_source.xhtml">Go to the source code of this file.</a></p>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
+Functions</h2></td></tr>
+<tr class="memitem:ae2aeba7e1195292ca5a000a81c145629"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="_space_to_depth_end_to_end_test_impl_8cpp.xhtml#ae2aeba7e1195292ca5a000a81c145629">SpaceToDepthNhwcEndToEndTest1</a> (const std::vector< <a class="el" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a> > &<a class="el" href="_ref_end_to_end_tests_8cpp.xhtml#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a>)</td></tr>
+<tr class="separator:ae2aeba7e1195292ca5a000a81c145629"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:aa539d7b30c0a8064ab301a61c5a90fed"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="_space_to_depth_end_to_end_test_impl_8cpp.xhtml#aa539d7b30c0a8064ab301a61c5a90fed">SpaceToDepthNchwEndToEndTest1</a> (const std::vector< <a class="el" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a> > &<a class="el" href="_ref_end_to_end_tests_8cpp.xhtml#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a>)</td></tr>
+<tr class="separator:aa539d7b30c0a8064ab301a61c5a90fed"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a2da64f8783ac838e5c4aa76c0d2de8cb"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="_space_to_depth_end_to_end_test_impl_8cpp.xhtml#a2da64f8783ac838e5c4aa76c0d2de8cb">SpaceToDepthNhwcEndToEndTest2</a> (const std::vector< <a class="el" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a> > &<a class="el" href="_ref_end_to_end_tests_8cpp.xhtml#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a>)</td></tr>
+<tr class="separator:a2da64f8783ac838e5c4aa76c0d2de8cb"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a00fc587ab0be7b4d988fcc1a9bdf5355"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="_space_to_depth_end_to_end_test_impl_8cpp.xhtml#a00fc587ab0be7b4d988fcc1a9bdf5355">SpaceToDepthNchwEndToEndTest2</a> (const std::vector< <a class="el" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a> > &<a class="el" href="_ref_end_to_end_tests_8cpp.xhtml#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a>)</td></tr>
+<tr class="separator:a00fc587ab0be7b4d988fcc1a9bdf5355"><td class="memSeparator" colspan="2"> </td></tr>
+</table>
+<h2 class="groupheader">Function Documentation</h2>
+<a id="aa539d7b30c0a8064ab301a61c5a90fed"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aa539d7b30c0a8064ab301a61c5a90fed">◆ </a></span>SpaceToDepthNchwEndToEndTest1()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void SpaceToDepthNchwEndToEndTest1 </td>
+ <td>(</td>
+ <td class="paramtype">const std::vector< <a class="el" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a> > & </td>
+ <td class="paramname"><em>defaultBackends</em></td><td>)</td>
+ <td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_space_to_depth_end_to_end_test_impl_8cpp_source.xhtml#l00129">129</a> of file <a class="el" href="_space_to_depth_end_to_end_test_impl_8cpp_source.xhtml">SpaceToDepthEndToEndTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, and <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_cl_end_to_end_tests_8cpp_source.xhtml#l00205">BOOST_AUTO_TEST_CASE()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a>;</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>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> blockSize = 2;</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>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> inputShape{1, 2, 2, 1};</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo(inputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</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>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> outputShape{1, 1, 1, 4};</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</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>  std::vector<float> inputData = std::vector<float>(</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  });</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>  std::vector<float> expectedOutputData = std::vector<float>(</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  {</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  });</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  SpaceToDepthEndToEnd(<a class="code" href="_cl_end_to_end_tests_8cpp.xhtml#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a>,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  inputTensorInfo,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  outputTensorInfo,</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  inputData,</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  expectedOutputData,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  blockSize);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> }</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#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
+<div class="ttc" id="_cl_end_to_end_tests_8cpp_xhtml_ab59caffe2ee6be46c08766c055420f17"><div class="ttname"><a href="_cl_end_to_end_tests_8cpp.xhtml#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a></div><div class="ttdeci">std::vector< armnn::BackendId > defaultBackends</div><div class="ttdef"><b>Definition:</b> <a href="_cl_end_to_end_tests_8cpp_source.xhtml#l00025">ClEndToEndTests.cpp:25</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a00fc587ab0be7b4d988fcc1a9bdf5355"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a00fc587ab0be7b4d988fcc1a9bdf5355">◆ </a></span>SpaceToDepthNchwEndToEndTest2()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void SpaceToDepthNchwEndToEndTest2 </td>
+ <td>(</td>
+ <td class="paramtype">const std::vector< <a class="el" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a> > & </td>
+ <td class="paramname"><em>defaultBackends</em></td><td>)</td>
+ <td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_space_to_depth_end_to_end_test_impl_8cpp_source.xhtml#l00191">191</a> of file <a class="el" href="_space_to_depth_end_to_end_test_impl_8cpp_source.xhtml">SpaceToDepthEndToEndTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, and <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_cl_end_to_end_tests_8cpp_source.xhtml#l00215">BOOST_AUTO_TEST_CASE()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> {</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a>;</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>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> blockSize = 2;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> inputShape{1, 2, 2, 2};</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> outputShape{1, 1, 1, 8};</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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo(inputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</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> inputData = std::vector<float>(</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  {</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  });</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  std::vector<float> expectedOutputData = std::vector<float>(</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  {</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  });</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> </div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  SpaceToDepthEndToEnd(<a class="code" href="_cl_end_to_end_tests_8cpp.xhtml#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a>,</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>,</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  inputTensorInfo,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  outputTensorInfo,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  inputData,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  expectedOutputData,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  blockSize);</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> }</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#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
+<div class="ttc" id="_cl_end_to_end_tests_8cpp_xhtml_ab59caffe2ee6be46c08766c055420f17"><div class="ttname"><a href="_cl_end_to_end_tests_8cpp.xhtml#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a></div><div class="ttdeci">std::vector< armnn::BackendId > defaultBackends</div><div class="ttdef"><b>Definition:</b> <a href="_cl_end_to_end_tests_8cpp_source.xhtml#l00025">ClEndToEndTests.cpp:25</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="ae2aeba7e1195292ca5a000a81c145629"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ae2aeba7e1195292ca5a000a81c145629">◆ </a></span>SpaceToDepthNhwcEndToEndTest1()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void SpaceToDepthNhwcEndToEndTest1 </td>
+ <td>(</td>
+ <td class="paramtype">const std::vector< <a class="el" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a> > & </td>
+ <td class="paramname"><em>defaultBackends</em></td><td>)</td>
+ <td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_space_to_depth_end_to_end_test_impl_8cpp_source.xhtml#l00098">98</a> of file <a class="el" href="_space_to_depth_end_to_end_test_impl_8cpp_source.xhtml">SpaceToDepthEndToEndTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, and <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_cl_end_to_end_tests_8cpp_source.xhtml#l00200">BOOST_AUTO_TEST_CASE()</a>.</p>
+<div class="fragment"><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="keyword">using namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a>;</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>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> blockSize = 2;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> inputShape{1, 2, 2, 1};</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo(inputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> outputShape{1, 1, 1, 4};</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  std::vector<float> inputData = std::vector<float>(</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  {</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  });</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  std::vector<float> expectedOutputData = std::vector<float>(</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  });</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  SpaceToDepthEndToEnd(<a class="code" href="_cl_end_to_end_tests_8cpp.xhtml#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a>,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  inputTensorInfo,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  outputTensorInfo,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  inputData,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  expectedOutputData,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  blockSize);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> }</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#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
+<div class="ttc" id="_cl_end_to_end_tests_8cpp_xhtml_ab59caffe2ee6be46c08766c055420f17"><div class="ttname"><a href="_cl_end_to_end_tests_8cpp.xhtml#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a></div><div class="ttdeci">std::vector< armnn::BackendId > defaultBackends</div><div class="ttdef"><b>Definition:</b> <a href="_cl_end_to_end_tests_8cpp_source.xhtml#l00025">ClEndToEndTests.cpp:25</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a2da64f8783ac838e5c4aa76c0d2de8cb"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a2da64f8783ac838e5c4aa76c0d2de8cb">◆ </a></span>SpaceToDepthNhwcEndToEndTest2()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void SpaceToDepthNhwcEndToEndTest2 </td>
+ <td>(</td>
+ <td class="paramtype">const std::vector< <a class="el" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a> > & </td>
+ <td class="paramname"><em>defaultBackends</em></td><td>)</td>
+ <td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_space_to_depth_end_to_end_test_impl_8cpp_source.xhtml#l00160">160</a> of file <a class="el" href="_space_to_depth_end_to_end_test_impl_8cpp_source.xhtml">SpaceToDepthEndToEndTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, and <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_cl_end_to_end_tests_8cpp_source.xhtml#l00210">BOOST_AUTO_TEST_CASE()</a>.</p>
+<div class="fragment"><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="keyword">using namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a>;</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>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> blockSize = 2;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> inputShape{1, 2, 2, 2};</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> outputShape{1, 1, 1, 8};</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> inputTensorInfo(inputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  std::vector<float> inputData = std::vector<float>(</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  {</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f</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> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  std::vector<float> expectedOutputData = std::vector<float>(</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  {</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  1.4f, 2.3f, 3.2f, 4.1f, 5.4f, 6.3f, 7.2f, 8.1f</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> </div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  SpaceToDepthEndToEnd(<a class="code" href="_cl_end_to_end_tests_8cpp.xhtml#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a>,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  inputTensorInfo,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  outputTensorInfo,</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  inputData,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  expectedOutputData,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  blockSize);</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> }</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#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
+<div class="ttc" id="_cl_end_to_end_tests_8cpp_xhtml_ab59caffe2ee6be46c08766c055420f17"><div class="ttname"><a href="_cl_end_to_end_tests_8cpp.xhtml#ab59caffe2ee6be46c08766c055420f17">defaultBackends</a></div><div class="ttdeci">std::vector< armnn::BackendId > defaultBackends</div><div class="ttdef"><b>Definition:</b> <a href="_cl_end_to_end_tests_8cpp_source.xhtml#l00025">ClEndToEndTests.cpp:25</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div>
+</div><!-- fragment -->
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+</div>
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+<!-- start footer part -->
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+ <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.xhtml">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.xhtml">test</a></li><li class="navelem"><a class="el" href="_space_to_depth_end_to_end_test_impl_8cpp.xhtml">SpaceToDepthEndToEndTestImpl.cpp</a></li>
+ <li class="footer">Generated on Fri Mar 13 2020 16:09:15 for ArmNN by
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