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| author | Jan Eilers <jan.eilers@arm.com> | 2021-02-25 17:44:00 +0000 |
|---|---|---|
| committer | Jan Eilers <jan.eilers@arm.com> | 2021-02-25 18:27:49 +0000 |
| commit | fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf (patch) | |
| tree | eb4bc8f9b411f30c7655616142b5a4bdd3a1acd0 /21.02/armnn_tf_lite_parser_2test_2_conv2_d_8cpp.xhtml | |
| parent | fb14ebbd68e04876809145296af96f6f41857418 (diff) | |
| download | armnn-fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf.tar.gz | |
IVGCVSW-5687 Update Doxygen Docu
* Update Doxygen Documentation for 21.02 release
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5
Diffstat (limited to '21.02/armnn_tf_lite_parser_2test_2_conv2_d_8cpp.xhtml')
| -rw-r--r-- | 21.02/armnn_tf_lite_parser_2test_2_conv2_d_8cpp.xhtml | 323 |
1 files changed, 323 insertions, 0 deletions
diff --git a/21.02/armnn_tf_lite_parser_2test_2_conv2_d_8cpp.xhtml b/21.02/armnn_tf_lite_parser_2test_2_conv2_d_8cpp.xhtml new file mode 100644 index 0000000000..2528982a9c --- /dev/null +++ b/21.02/armnn_tf_lite_parser_2test_2_conv2_d_8cpp.xhtml @@ -0,0 +1,323 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/armnnTfLiteParser/test/Conv2D.cpp File Reference</title> +<link href="tabs.css" rel="stylesheet" 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rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">21.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('armnn_tf_lite_parser_2test_2_conv2_d_8cpp.xhtml','');}); +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="summary"> +<a href="#func-members">Functions</a> </div> + <div class="headertitle"> +<div class="title">Conv2D.cpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include <boost/test/unit_test.hpp></code><br /> +<code>#include "<a class="el" href="_parser_flatbuffers_fixture_8hpp_source.xhtml">ParserFlatbuffersFixture.hpp</a>"</code><br /> +<code>#include "<a class="el" href="_tf_lite_parser_8hpp_source.xhtml">../TfLiteParser.hpp</a>"</code><br /> +<code>#include <sstream></code><br /> +</div> +<p><a href="armnn_tf_lite_parser_2test_2_conv2_d_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:afcc317a537dfa8ab47071d5c464bad43"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp.xhtml#afcc317a537dfa8ab47071d5c464bad43">BOOST_FIXTURE_TEST_CASE</a> (ParseSimpleConv2D, SimpleConv2DFixture)</td></tr> +<tr class="separator:afcc317a537dfa8ab47071d5c464bad43"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1f8274795936acc6692b9e18a2d7f7a0"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp.xhtml#a1f8274795936acc6692b9e18a2d7f7a0">BOOST_FIXTURE_TEST_CASE</a> (ParseConv2DWithBias, SimpleConv2DWithBiasesFixture)</td></tr> +<tr class="separator:a1f8274795936acc6692b9e18a2d7f7a0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a481135481b21278d387ae784ef850fea"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp.xhtml#a481135481b21278d387ae784ef850fea">BOOST_FIXTURE_TEST_CASE</a> (ParseDynamicConv2DWithBias, DynamicConv2DWithBiasesFixture)</td></tr> +<tr class="separator:a481135481b21278d387ae784ef850fea"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a37807b86838def29aa4a342b5ee11a1e"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp.xhtml#a37807b86838def29aa4a342b5ee11a1e">BOOST_FIXTURE_TEST_CASE</a> (ParseConv2D_112x112_out, Conv2DShapeTestFixture)</td></tr> +<tr class="separator:a37807b86838def29aa4a342b5ee11a1e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aeae31b1eb962892a52153424119c87e9"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp.xhtml#aeae31b1eb962892a52153424119c87e9">BOOST_FIXTURE_TEST_CASE</a> (ParseConv2DAndReluWithBias, ReluConv2DWithBiasesFixture)</td></tr> +<tr class="separator:aeae31b1eb962892a52153424119c87e9"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a16517509d65fc4291eb40bcc285c03fd"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp.xhtml#a16517509d65fc4291eb40bcc285c03fd">BOOST_FIXTURE_TEST_CASE</a> (ParseConv2DAndRelu6WithBias, Relu6Conv2DWithBiasesFixture)</td></tr> +<tr class="separator:a16517509d65fc4291eb40bcc285c03fd"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="afcc317a537dfa8ab47071d5c464bad43"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afcc317a537dfa8ab47071d5c464bad43">◆ </a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[1/6]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_FIXTURE_TEST_CASE </td> + <td>(</td> + <td class="paramtype">ParseSimpleConv2D </td> + <td class="paramname">, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">SimpleConv2DFixture </td> + <td class="paramname"> </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="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml#l00090">90</a> of file <a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml">Conv2D.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> {</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  RunTest<4, armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  0,</div><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>  1, 2, 3,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  4, 5, 6,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  7, 8, 9,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  },</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="comment">// because of the output scaling we need to take half of the values</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  {</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  (1*2 + 2*1 + 3*0 +</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  4*6 + 5*2 + 6*1 +</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  7*4 + 8*1 + 9*2) /2</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><!-- fragment --> +</div> +</div> +<a id="a1f8274795936acc6692b9e18a2d7f7a0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1f8274795936acc6692b9e18a2d7f7a0">◆ </a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[2/6]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_FIXTURE_TEST_CASE </td> + <td>(</td> + <td class="paramtype">ParseConv2DWithBias </td> + <td class="paramname">, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">SimpleConv2DWithBiasesFixture </td> + <td class="paramname"> </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="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml#l00220">220</a> of file <a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml">Conv2D.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> {</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  RunTest<4, armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  0,</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  {</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  1, 2,</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  3, 4,</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  },</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="comment">// because of the output scaling we need to take half of the values</span></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>  (1*2 + 2*1 + 3*0 + 4*6 + 10)/2,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  (2*2 + 0*1 + 4*0 + 0*6 + 10)/2,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  (3*2 + 4*1 + 0*0 + 0*6 + 10)/2,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  (4*2 + 0*1 + 0*0 + 0*6 + 10)/2</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> }</div></div><!-- fragment --> +</div> +</div> +<a id="a481135481b21278d387ae784ef850fea"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a481135481b21278d387ae784ef850fea">◆ </a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[3/6]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_FIXTURE_TEST_CASE </td> + <td>(</td> + <td class="paramtype">ParseDynamicConv2DWithBias </td> + <td class="paramname">, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">DynamicConv2DWithBiasesFixture </td> + <td class="paramname"> </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="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml#l00250">250</a> of file <a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml">Conv2D.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>.</p> +<div class="fragment"><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> {</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  RunTest<4,</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  armnn::DataType::QAsymmU8>(0,</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  { { <span class="stringliteral">"inputTensor"</span>, { 1, 2, 3, 4, } } },</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  { { <span class="stringliteral">"outputTensor"</span>, { (1*2 + 2*1 + 3*0 + 4*6 + 10)/2,</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  (2*2 + 0*1 + 4*0 + 0*6 + 10)/2,</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  (3*2 + 4*1 + 0*0 + 0*6 + 10)/2,</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  (4*2 + 0*1 + 0*0 + 0*6 + 10)/2} } },</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keyword">true</span>);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a37807b86838def29aa4a342b5ee11a1e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a37807b86838def29aa4a342b5ee11a1e">◆ </a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[4/6]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_FIXTURE_TEST_CASE </td> + <td>(</td> + <td class="paramtype">ParseConv2D_112x112_out </td> + <td class="paramname">, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">Conv2DShapeTestFixture </td> + <td class="paramname"> </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="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml#l00291">291</a> of file <a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml">Conv2D.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> {</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aeae31b1eb962892a52153424119c87e9"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aeae31b1eb962892a52153424119c87e9">◆ </a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[5/6]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_FIXTURE_TEST_CASE </td> + <td>(</td> + <td class="paramtype">ParseConv2DAndReluWithBias </td> + <td class="paramname">, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">ReluConv2DWithBiasesFixture </td> + <td class="paramname"> </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="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml#l00313">313</a> of file <a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml">Conv2D.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00314"></a><span class="lineno"> 314</span> {</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  uint8_t bias = 16;</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  uint8_t outZero = 20;</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  uint8_t fz = 4; <span class="comment">// filter zero point</span></div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  RunTest<4, armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  0,</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  {</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  1, 2,</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  4, 8,</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  },</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="comment">// factors to consider:</span></div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="comment">// - the filter zero point is non zero, hence the (x-fz)</span></div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="comment">// - the output scale is 2 hence the /2</span></div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="comment">// - output zero point is non zero, hence the +outZero</span></div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="comment">// - RELU cuts negative values and then we add the output zero point</span></div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  {</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  std::max(outZero, static_cast<uint8_t>((1*(2-fz) + 2*(1-fz) + 4*(0-fz) + 8*(6-fz) + bias)/2 + outZero)),</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  std::max(outZero, static_cast<uint8_t>((2*(2-fz) + 0*(1-fz) + 8*(0-fz) + 0*(6-fz) + bias)/2 + outZero)),</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  std::max(outZero, static_cast<uint8_t>((4*(2-fz) + 8*(1-fz) + 0*(0-fz) + 0*(6-fz) + bias)/2 + outZero)),</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  std::max(outZero, static_cast<uint8_t>((8*(2-fz) + 0*(1-fz) + 0*(0-fz) + 0*(6-fz) + bias)/2 + outZero))</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  });</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a16517509d65fc4291eb40bcc285c03fd"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a16517509d65fc4291eb40bcc285c03fd">◆ </a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[6/6]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">BOOST_FIXTURE_TEST_CASE </td> + <td>(</td> + <td class="paramtype">ParseConv2DAndRelu6WithBias </td> + <td class="paramname">, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">Relu6Conv2DWithBiasesFixture </td> + <td class="paramname"> </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="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml#l00356">356</a> of file <a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml">Conv2D.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>.</p> +<div class="fragment"><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> {</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  uint8_t relu6Min = 6 / 2; <span class="comment">// divide by output scale</span></div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span> </div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  RunTest<4, armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  0,</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  {</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  1, 2,</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  4, 1,</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  },</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="comment">// factors to consider:</span></div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="comment">// - the output scale is 2 hence the /2</span></div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="comment">// - RELU6 cuts output values at +6</span></div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  {</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  std::min(relu6Min, static_cast<uint8_t>((1*2 + 2*1 + 4*0 + 1*6)/2)),</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  std::min(relu6Min, static_cast<uint8_t>((2*2 + 0*1 + 1*0 + 0*6)/2)),</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  std::min(relu6Min, static_cast<uint8_t>((4*2 + 1*1 + 0*0 + 0*6)/2)),</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  std::min(relu6Min, static_cast<uint8_t>((1*2 + 0*1 + 0*0 + 0*6)/2))</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  });</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> }</div></div><!-- fragment --> +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" 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