James Ward | 7435ecc | 2020-11-25 10:00:28 +0000 | [diff] [blame^] | 1 | <!-- Copyright (c) 2020 ARM Limited. --> |
| 2 | <!-- --> |
| 3 | <!-- SPDX-License-Identifier: MIT --> |
| 4 | <!-- --> |
| 5 | <!-- HTML header for doxygen 1.8.13--> |
| 6 | <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> |
| 7 | <html xmlns="http://www.w3.org/1999/xhtml"> |
| 8 | <head> |
| 9 | <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> |
| 10 | <meta http-equiv="X-UA-Compatible" content="IE=9"/> |
| 11 | <meta name="generator" content="Doxygen 1.8.13"/> |
| 12 | <meta name="robots" content="NOINDEX, NOFOLLOW" /> |
| 13 | <meta name="viewport" content="width=device-width, initial-scale=1"/> |
| 14 | <title>ArmNN: src/backends/backendsCommon/test/QuantizedLstmEndToEndTestImpl.cpp File Reference</title> |
| 15 | <link href="tabs.css" rel="stylesheet" type="text/css"/> |
| 16 | <script type="text/javascript" src="jquery.js"></script> |
| 17 | <script type="text/javascript" src="dynsections.js"></script> |
| 18 | <link href="navtree.css" rel="stylesheet" type="text/css"/> |
| 19 | <script type="text/javascript" src="resize.js"></script> |
| 20 | <script type="text/javascript" src="navtreedata.js"></script> |
| 21 | <script type="text/javascript" src="navtree.js"></script> |
| 22 | <script type="text/javascript"> |
| 23 | $(document).ready(initResizable); |
| 24 | </script> |
| 25 | <link href="search/search.css" rel="stylesheet" type="text/css"/> |
| 26 | <script type="text/javascript" src="search/searchdata.js"></script> |
| 27 | <script type="text/javascript" src="search/search.js"></script> |
| 28 | <script type="text/x-mathjax-config"> |
| 29 | MathJax.Hub.Config({ |
| 30 | extensions: ["tex2jax.js"], |
| 31 | jax: ["input/TeX","output/HTML-CSS"], |
| 32 | }); |
| 33 | </script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> |
| 34 | <link href="doxygen.css" rel="stylesheet" type="text/css" /> |
| 35 | <link href="stylesheet.css" rel="stylesheet" type="text/css"/> |
| 36 | </head> |
| 37 | <body> |
| 38 | <div id="top"><!-- do not remove this div, it is closed by doxygen! --> |
| 39 | <div id="titlearea"> |
| 40 | <table cellspacing="0" cellpadding="0"> |
| 41 | <tbody> |
| 42 | <tr style="height: 56px;"> |
| 43 | <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> |
| 44 | <td style="padding-left: 0.5em;"> |
| 45 | <div id="projectname"> |
| 46 |  <span id="projectnumber">20.11</span> |
| 47 | </div> |
| 48 | </td> |
| 49 | </tr> |
| 50 | </tbody> |
| 51 | </table> |
| 52 | </div> |
| 53 | <!-- end header part --> |
| 54 | <!-- Generated by Doxygen 1.8.13 --> |
| 55 | <script type="text/javascript"> |
| 56 | var searchBox = new SearchBox("searchBox", "search",false,'Search'); |
| 57 | </script> |
| 58 | <script type="text/javascript" src="menudata.js"></script> |
| 59 | <script type="text/javascript" src="menu.js"></script> |
| 60 | <script type="text/javascript"> |
| 61 | $(function() { |
| 62 | initMenu('',true,false,'search.php','Search'); |
| 63 | $(document).ready(function() { init_search(); }); |
| 64 | }); |
| 65 | </script> |
| 66 | <div id="main-nav"></div> |
| 67 | </div><!-- top --> |
| 68 | <div id="side-nav" class="ui-resizable side-nav-resizable"> |
| 69 | <div id="nav-tree"> |
| 70 | <div id="nav-tree-contents"> |
| 71 | <div id="nav-sync" class="sync"></div> |
| 72 | </div> |
| 73 | </div> |
| 74 | <div id="splitbar" style="-moz-user-select:none;" |
| 75 | class="ui-resizable-handle"> |
| 76 | </div> |
| 77 | </div> |
| 78 | <script type="text/javascript"> |
| 79 | $(document).ready(function(){initNavTree('_quantized_lstm_end_to_end_test_impl_8cpp.xhtml','');}); |
| 80 | </script> |
| 81 | <div id="doc-content"> |
| 82 | <!-- window showing the filter options --> |
| 83 | <div id="MSearchSelectWindow" |
| 84 | onmouseover="return searchBox.OnSearchSelectShow()" |
| 85 | onmouseout="return searchBox.OnSearchSelectHide()" |
| 86 | onkeydown="return searchBox.OnSearchSelectKey(event)"> |
| 87 | </div> |
| 88 | |
| 89 | <!-- iframe showing the search results (closed by default) --> |
| 90 | <div id="MSearchResultsWindow"> |
| 91 | <iframe src="javascript:void(0)" frameborder="0" |
| 92 | name="MSearchResults" id="MSearchResults"> |
| 93 | </iframe> |
| 94 | </div> |
| 95 | |
| 96 | <div class="header"> |
| 97 | <div class="summary"> |
| 98 | <a href="#func-members">Functions</a> </div> |
| 99 | <div class="headertitle"> |
| 100 | <div class="title">QuantizedLstmEndToEndTestImpl.cpp File Reference</div> </div> |
| 101 | </div><!--header--> |
| 102 | <div class="contents"> |
| 103 | <div class="textblock"><code>#include "<a class="el" href="_quantized_lstm_end_to_end_test_impl_8hpp_source.xhtml">QuantizedLstmEndToEndTestImpl.hpp</a>"</code><br /> |
| 104 | <code>#include "<a class="el" href="_common_test_utils_8hpp_source.xhtml">CommonTestUtils.hpp</a>"</code><br /> |
| 105 | <code>#include "<a class="el" href="_end_to_end_test_impl_8hpp_source.xhtml">EndToEndTestImpl.hpp</a>"</code><br /> |
| 106 | <code>#include <<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>></code><br /> |
| 107 | <code>#include <<a class="el" href="_i_network_8hpp_source.xhtml">armnn/INetwork.hpp</a>></code><br /> |
| 108 | <code>#include <<a class="el" href="_quantized_lstm_params_8hpp_source.xhtml">armnn/QuantizedLstmParams.hpp</a>></code><br /> |
| 109 | <code>#include <<a class="el" href="_numeric_cast_8hpp_source.xhtml">armnn/utility/NumericCast.hpp</a>></code><br /> |
| 110 | <code>#include <<a class="el" href="_tensor_helpers_8hpp_source.xhtml">test/TensorHelpers.hpp</a>></code><br /> |
| 111 | <code>#include <boost/test/unit_test.hpp></code><br /> |
| 112 | <code>#include <type_traits></code><br /> |
| 113 | </div> |
| 114 | <p><a href="_quantized_lstm_end_to_end_test_impl_8cpp_source.xhtml">Go to the source code of this file.</a></p> |
| 115 | <table class="memberdecls"> |
| 116 | <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> |
| 117 | Functions</h2></td></tr> |
| 118 | <tr class="memitem:a81b5bf2355bdbac79af06c1bc97adb52"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="_quantized_lstm_end_to_end_test_impl_8cpp.xhtml#a81b5bf2355bdbac79af06c1bc97adb52">QuantizedLstmEndToEnd</a> (const std::vector< <a class="el" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a> > &backends)</td></tr> |
| 119 | <tr class="separator:a81b5bf2355bdbac79af06c1bc97adb52"><td class="memSeparator" colspan="2"> </td></tr> |
| 120 | </table> |
| 121 | <h2 class="groupheader">Function Documentation</h2> |
| 122 | <a id="a81b5bf2355bdbac79af06c1bc97adb52"></a> |
| 123 | <h2 class="memtitle"><span class="permalink"><a href="#a81b5bf2355bdbac79af06c1bc97adb52">◆ </a></span>QuantizedLstmEndToEnd()</h2> |
| 124 | |
| 125 | <div class="memitem"> |
| 126 | <div class="memproto"> |
| 127 | <table class="memname"> |
| 128 | <tr> |
| 129 | <td class="memname">void QuantizedLstmEndToEnd </td> |
| 130 | <td>(</td> |
| 131 | <td class="paramtype">const std::vector< <a class="el" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a> > & </td> |
| 132 | <td class="paramname"><em>backends</em></td><td>)</td> |
| 133 | <td></td> |
| 134 | </tr> |
| 135 | </table> |
| 136 | </div><div class="memdoc"> |
| 137 | |
| 138 | <p class="definition">Definition at line <a class="el" href="_quantized_lstm_end_to_end_test_impl_8cpp_source.xhtml#l00181">181</a> of file <a class="el" href="_quantized_lstm_end_to_end_test_impl_8cpp_source.xhtml">QuantizedLstmEndToEndTestImpl.cpp</a>.</p> |
| 139 | |
| 140 | <p class="reference">References <a class="el" href="_network_8cpp_source.xhtml#l01011">armnn::Optimize()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> |
| 141 | |
| 142 | <p class="reference">Referenced by <a class="el" href="_cl_end_to_end_tests_8cpp_source.xhtml#l00406">BOOST_AUTO_TEST_CASE()</a>.</p> |
| 143 | <div class="fragment"><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> {</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  std::vector<uint8_t> inputVector = {166, 179, 50, 150};</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputDesc({2, 2}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  boost::multi_array<uint8_t, 2> input = MakeTensor<uint8_t, 2>(inputDesc, inputVector);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  std::vector<int16_t> cellStateInVector = {876, 1034, 955, -909, 761, 1029, 796, -1036};</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> cellStateInDesc({2, 4}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>);</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  boost::multi_array<int16_t, 2> cellStateIn = MakeTensor<int16_t, 2>(cellStateInDesc, cellStateInVector);</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> </div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  std::vector<uint8_t> outputStateInVector = {136, 150, 140, 115, 135, 152, 138, 112};</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputStateInDesc({2, 4}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>);</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  boost::multi_array<uint8_t, 2> outputStateIn = MakeTensor<uint8_t, 2>(outputStateInDesc, outputStateInVector);</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>  std::vector<int16_t> cellStateOutVector = {1485, 1177, 1373, -1023, 1019, 1355, 1097, -1235};</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> cellStateOutVectorDesc({2, 4}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>);</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  boost::multi_array<int16_t, 2> cellStateOut = MakeTensor<int16_t, 2>(cellStateOutVectorDesc, cellStateOutVector);</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> </div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  std::vector<uint8_t> outputStateOutVector = {140, 151, 146, 112, 136, 156, 142, 112};</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputDesc({2, 4}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  boost::multi_array<uint8_t, 2> outputStateOut = MakeTensor<uint8_t, 2>(outputDesc, outputStateOutVector);</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>  <span class="comment">// Builds up the structure of the network</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> net = CreateQuantizedLstmNetwork(input, outputStateOut);</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>  BOOST_TEST_CHECKPOINT(<span class="stringliteral">"create a network"</span>);</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>  <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">IRuntime::CreationOptions</a> options;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="namespacearmnn.xhtml#a150468a02bd7b2d2d061c4aaaee939f0">IRuntimePtr</a> runtime(IRuntime::Create(options));</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>  <span class="comment">// optimize the network</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a> optNet = <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">Optimize</a>(*net, backends, runtime->GetDeviceSpec());</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>  <span class="comment">// Loads it into the runtime.</span></div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <a class="code" href="namespacearmnn.xhtml#a83015160d8c67d5d77735eb0d4033d9a">NetworkId</a> netId;</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  runtime->LoadNetwork(netId, std::move(optNet));</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">InputTensors</a> inputTensors;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  inputTensors.reserve(3);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="comment">// input</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  inputTensors.push_back({0, <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>(runtime->GetInputTensorInfo(netId, 0), inputVector.data())});</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  inputTensors.push_back({1, <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>(runtime->GetInputTensorInfo(netId, 1), cellStateInVector.data())});</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  inputTensors.push_back({2, <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>(runtime->GetInputTensorInfo(netId, 2), outputStateInVector.data())});</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a> outputTensors;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  outputTensors.reserve(2);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="comment">//output</span></div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  std::vector<int16_t > cellStateOutResult(cellStateOutVector.size());</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  std::vector<uint8_t > outputStateOutResult(outputStateOutVector.size());</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  outputTensors.push_back({0, <a class="code" href="classarmnn_1_1_tensor.xhtml">Tensor</a>(runtime->GetOutputTensorInfo(netId, 0), cellStateOutResult.data())});</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  outputTensors.push_back({1, <a class="code" href="classarmnn_1_1_tensor.xhtml">Tensor</a>(runtime->GetOutputTensorInfo(netId, 1), outputStateOutResult.data())});</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>  <span class="comment">// Does the inference.</span></div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  runtime->EnqueueWorkload(netId, inputTensors, outputTensors);</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>  <span class="comment">// Checks the results</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  constexpr int16_t toleranceInt16 = 2;</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0u; i < cellStateOutResult.size(); ++i)</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>  BOOST_CHECK(IsCloseEnough(cellStateOutVector[i], cellStateOutResult[i], toleranceInt16));</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  }</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>  constexpr uint8_t toleranceUint8 = 1;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0u; i < outputStateOutResult.size(); ++i)</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  {</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  BOOST_TEST(IsCloseEnough(outputStateOutVector[i], outputStateOutResult[i], toleranceUint8));</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  }</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</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#l00152">Tensor.hpp:152</a></div></div> |
| 144 | <div class="ttc" id="namespacearmnn_xhtml_a150468a02bd7b2d2d061c4aaaee939f0"><div class="ttname"><a href="namespacearmnn.xhtml#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a></div><div class="ttdeci">std::unique_ptr< IRuntime, void(*)(IRuntime *runtime)> IRuntimePtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00025">IRuntime.hpp:25</a></div></div> |
| 145 | <div class="ttc" id="namespacearmnn_xhtml_aa01bce88f89975a5a031db4cc8861527"><div class="ttname"><a href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class ConstTensor > > InputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00340">Tensor.hpp:340</a></div></div> |
| 146 | <div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> |
| 147 | <div class="ttc" id="namespacearmnn_xhtml_a83015160d8c67d5d77735eb0d4033d9a"><div class="ttname"><a href="namespacearmnn.xhtml#a83015160d8c67d5d77735eb0d4033d9a">armnn::NetworkId</a></div><div class="ttdeci">int NetworkId</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00020">IRuntime.hpp:20</a></div></div> |
| 148 | <div class="ttc" id="classarmnn_1_1_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00306">Tensor.hpp:306</a></div></div> |
| 149 | <div class="ttc" id="namespacearmnn_xhtml_a82e98ef05fd67036d1195ba17174d685"><div class="ttname"><a href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a></div><div class="ttdeci">IOptimizedNetworkPtr Optimize(const INetwork &network, const std::vector< BackendId > &backendPreferences, const IDeviceSpec &deviceSpec, const OptimizerOptions &options=OptimizerOptions(), Optional< std::vector< std::string > &> messages=EmptyOptional())</div><div class="ttdoc">Create an optimized version of the network. </div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01011">Network.cpp:1011</a></div></div> |
| 150 | <div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> |
| 151 | <div class="ttc" id="classarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00314">Tensor.hpp:314</a></div></div> |
| 152 | <div class="ttc" id="namespacearmnn_xhtml_a8f091a512915d1cb29a4ebf13dfc53ea"><div class="ttname"><a href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class Tensor > > OutputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00341">Tensor.hpp:341</a></div></div> |
| 153 | <div class="ttc" id="namespacearmnn_xhtml_a674efcf6cbdb9e831d653ff0e821fb38"><div class="ttname"><a href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a></div><div class="ttdeci">std::unique_ptr< IOptimizedNetwork, void(*)(IOptimizedNetwork *network)> IOptimizedNetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00600">INetwork.hpp:600</a></div></div> |
| 154 | <div class="ttc" id="structarmnn_1_1_i_runtime_1_1_creation_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_i_runtime_1_1_creation_options.xhtml">armnn::IRuntime::CreationOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.xhtml#l00042">IRuntime.hpp:42</a></div></div> |
| 155 | <div class="ttc" id="namespacearmnn_xhtml_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a></div><div class="ttdeci">std::unique_ptr< INetwork, void(*)(INetwork *network)> INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00101">INetwork.hpp:101</a></div></div> |
| 156 | </div><!-- fragment --> |
| 157 | </div> |
| 158 | </div> |
| 159 | </div><!-- contents --> |
| 160 | </div><!-- doc-content --> |
| 161 | <!-- start footer part --> |
| 162 | <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> |
| 163 | <ul> |
| 164 | <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="_quantized_lstm_end_to_end_test_impl_8cpp.xhtml">QuantizedLstmEndToEndTestImpl.cpp</a></li> |
| 165 | <li class="footer">Generated on Wed Nov 25 2020 09:59:15 for ArmNN by |
| 166 | <a href="http://www.doxygen.org/index.html"> |
| 167 | <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> |
| 168 | </ul> |
| 169 | </div> |
| 170 | </body> |
| 171 | </html> |