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-rw-r--r--docs/NN/html/gru_2readme_8txt.html129
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diff --git a/docs/NN/html/CIFAR10_CNN.gif b/docs/NN/html/CIFAR10_CNN.gif
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@@ -0,0 +1,147 @@
+<!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"/>
+<title>Revision History of CMSIS-NN</title>
+<title>CMSIS-NN: Revision History of CMSIS-NN</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<link href="cmsis.css" rel="stylesheet" type="text/css" />
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="printComponentTabs.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript">
+ $(document).ready(initResizable);
+ $(window).load(resizeHeight);
+</script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/search.js"></script>
+<script type="text/javascript">
+ $(document).ready(function() { searchBox.OnSelectItem(0); });
+</script>
+</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: 46px;">
+ <td id="projectlogo"><img alt="Logo" src="CMSIS_Logo_Final.png"/></td>
+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
+ </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<div id="CMSISnav" class="tabs1">
+ <ul class="tablist">
+ <script type="text/javascript">
+ <!--
+ writeComponentTabs.call(this);
+ //-->
+ </script>
+ </ul>
+</div>
+<!-- Generated by Doxygen 1.8.6 -->
+<script type="text/javascript">
+var searchBox = new SearchBox("searchBox", "search",false,'Search');
+</script>
+ <div id="navrow1" class="tabs">
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+<tr class="memitem:ga110adcfdaab356c750c6270aa5e05f29"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga110adcfdaab356c750c6270aa5e05f29">arm_convolve_1x1_HWC_q7_fast_nonsquare</a> (const q7_t *Im_in, const uint16_t dim_im_in_x, const uint16_t dim_im_in_y, const uint16_t ch_im_in, const q7_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel_x, const uint16_t dim_kernel_y, const uint16_t padding_x, const uint16_t padding_y, const uint16_t stride_x, const uint16_t stride_y, const q7_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q7_t *Im_out, const uint16_t dim_im_out_x, const uint16_t dim_im_out_y, q15_t *bufferA, q7_t *bufferB)</td></tr>
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+<tr class="separator:ga110adcfdaab356c750c6270aa5e05f29"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
+Functions</h2></td></tr>
+<tr class="memitem:abc4fb258cfe8500ee68e812a293a80a3"><td class="memItemLeft" align="right" valign="top">q7_t *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nn__mat__mult__kernel__q7__q15_8c.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nn_mat_mult_kernel_q7_q15</a> (const q7_t *pA, const q15_t *pInBuffer, const uint16_t ch_im_out, const uint16_t numCol_A, const uint16_t bias_shift, const uint16_t out_shift, const q7_t *bias, q7_t *pOut)</td></tr>
+<tr class="memdesc:abc4fb258cfe8500ee68e812a293a80a3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Matrix-multiplication function for convolution. <a href="#abc4fb258cfe8500ee68e812a293a80a3">More...</a><br/></td></tr>
+<tr class="separator:abc4fb258cfe8500ee68e812a293a80a3"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<h2 class="groupheader">Function Documentation</h2>
+<a class="anchor" id="abc4fb258cfe8500ee68e812a293a80a3"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t* arm_nn_mat_mult_kernel_q7_q15 </td>
+ <td>(</td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>pA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>pInBuffer</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>numCol_A</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>pOut</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<p>Matrix-Multiplication Kernels for Convolution.</p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">pA</td><td>pointer to operand A </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">pInBuffer</td><td>pointer to operand B, always conssists of 2 vectors </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>numRow of A </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">numCol_A</td><td>numCol of A </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>the bias </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">pOut</td><td>pointer to output </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns the incremented output pointer</dd></dl>
+<p>This function does the matrix multiplication with weight matrix and 2 columns from im2col. </p>
+
+<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+<p>Referenced by <a class="el" href="group__NNConv.html#ga210ae8d8fc1d12ee15b41f1fa6947681">arm_convolve_HWC_q7_basic()</a>, <a class="el" href="group__NNConv.html#ga4501fa22c0836002aa47ccc313dce252">arm_convolve_HWC_q7_basic_nonsquare()</a>, and <a class="el" href="group__NNConv.html#ga98f2ead67d7cbdf558b0cd8a3b8fc148">arm_convolve_HWC_q7_RGB()</a>.</p>
+
+</div>
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diff --git a/docs/NN/html/arm__nn__mat__mult__kernel__q7__q15__reordered_8c.html b/docs/NN/html/arm__nn__mat__mult__kernel__q7__q15__reordered_8c.html
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+<div class="title">arm_nn_mat_mult_kernel_q7_q15_reordered.c File Reference</div> </div>
+</div><!--header-->
+<div class="contents">
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
+Functions</h2></td></tr>
+<tr class="memitem:aefe9c7ce9a65060a244b06dffe74c4b3"><td class="memItemLeft" align="right" valign="top">q7_t *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nn__mat__mult__kernel__q7__q15__reordered_8c.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nn_mat_mult_kernel_q7_q15_reordered</a> (const q7_t *pA, const q15_t *pInBuffer, const uint16_t ch_im_out, const uint16_t numCol_A, const uint16_t bias_shift, const uint16_t out_shift, const q7_t *bias, q7_t *pOut)</td></tr>
+<tr class="memdesc:aefe9c7ce9a65060a244b06dffe74c4b3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Matrix-multiplication function for convolution with reordered columns. <a href="#aefe9c7ce9a65060a244b06dffe74c4b3">More...</a><br/></td></tr>
+<tr class="separator:aefe9c7ce9a65060a244b06dffe74c4b3"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<h2 class="groupheader">Function Documentation</h2>
+<a class="anchor" id="aefe9c7ce9a65060a244b06dffe74c4b3"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t* arm_nn_mat_mult_kernel_q7_q15_reordered </td>
+ <td>(</td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>pA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>pInBuffer</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>numCol_A</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>pOut</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">pA</td><td>pointer to operand A </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">pInBuffer</td><td>pointer to operand B, always conssists of 2 vectors </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>numRow of A </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">numCol_A</td><td>numCol of A </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>the bias </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">pOut</td><td>pointer to output </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns the incremented output pointer</dd></dl>
+<p>This function assumes that data in pInBuffer are reordered </p>
+
+<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+<p>Referenced by <a class="el" href="group__NNConv.html#ga110adcfdaab356c750c6270aa5e05f29">arm_convolve_1x1_HWC_q7_fast_nonsquare()</a>, <a class="el" href="group__NNConv.html#gae00d3c1285907d59657369fc98bcc83f">arm_convolve_HWC_q7_fast()</a>, and <a class="el" href="group__NNConv.html#gabc6d6b991024e9e5c5cdbd7489de88ef">arm_convolve_HWC_q7_fast_nonsquare()</a>.</p>
+
+</div>
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+<tr class="memdesc:ga08f8340aa6533271b3aa6d211614fe22"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 vector multiplication with variable output shifts. <a href="group__NNBasicMath.html#ga08f8340aa6533271b3aa6d211614fe22">More...</a><br/></td></tr>
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+<tr class="memitem:gad46c9ab012cceda8ce6681c687a58c70"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNBasicMath.html#gad46c9ab012cceda8ce6681c687a58c70">arm_nn_mult_q7</a> (q7_t *pSrcA, q7_t *pSrcB, q7_t *pDst, const uint16_t out_shift, uint32_t blockSize)</td></tr>
+<tr class="memdesc:gad46c9ab012cceda8ce6681c687a58c70"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 vector multiplication with variable output shifts. <a href="group__NNBasicMath.html#gad46c9ab012cceda8ce6681c687a58c70">More...</a><br/></td></tr>
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+ name="MSearchResults" id="MSearchResults">
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+
+<div class="header">
+ <div class="summary">
+<a href="#var-members">Variables</a> </div>
+ <div class="headertitle">
+<div class="title">arm_nn_tables.h File Reference</div> </div>
+</div><!--header-->
+<div class="contents">
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="var-members"></a>
+Variables</h2></td></tr>
+<tr class="memitem:ab4d7b07c387a3537d4efe21da86115b0"><td class="memItemLeft" align="right" valign="top">const q15_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nn__tables_8h.html#ab4d7b07c387a3537d4efe21da86115b0">sigmoidTable_q15</a> [256]</td></tr>
+<tr class="memdesc:ab4d7b07c387a3537d4efe21da86115b0"><td class="mdescLeft">&#160;</td><td class="mdescRight">tables for various activation functions <a href="#ab4d7b07c387a3537d4efe21da86115b0">More...</a><br/></td></tr>
+<tr class="separator:ab4d7b07c387a3537d4efe21da86115b0"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ae2ff3f4e7014f535358167150bdd544f"><td class="memItemLeft" align="right" valign="top">const q7_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nn__tables_8h.html#ae2ff3f4e7014f535358167150bdd544f">sigmoidTable_q7</a> [256]</td></tr>
+<tr class="memdesc:ae2ff3f4e7014f535358167150bdd544f"><td class="mdescLeft">&#160;</td><td class="mdescRight">tables for various activation functions <a href="#ae2ff3f4e7014f535358167150bdd544f">More...</a><br/></td></tr>
+<tr class="separator:ae2ff3f4e7014f535358167150bdd544f"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4f854bdf13f630ec21b3ad074491e32f"><td class="memItemLeft" align="right" valign="top">const q7_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nn__tables_8h.html#a4f854bdf13f630ec21b3ad074491e32f">tanhTable_q7</a> [256]</td></tr>
+<tr class="separator:a4f854bdf13f630ec21b3ad074491e32f"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6faad2fec173b2702fd0f219a83ca320"><td class="memItemLeft" align="right" valign="top">const q15_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nn__tables_8h.html#a6faad2fec173b2702fd0f219a83ca320">tanhTable_q15</a> [256]</td></tr>
+<tr class="separator:a6faad2fec173b2702fd0f219a83ca320"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab5096856d08f98c906b9b02e6c6a8bdf"><td class="memItemLeft" align="right" valign="top">const q15_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nn__tables_8h.html#ab5096856d08f98c906b9b02e6c6a8bdf">sigmoidHTable_q15</a> [192]</td></tr>
+<tr class="memdesc:ab5096856d08f98c906b9b02e6c6a8bdf"><td class="mdescLeft">&#160;</td><td class="mdescRight">2-way tables for various activation functions <a href="#ab5096856d08f98c906b9b02e6c6a8bdf">More...</a><br/></td></tr>
+<tr class="separator:ab5096856d08f98c906b9b02e6c6a8bdf"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:add5ca535701805d3cb61287219975838"><td class="memItemLeft" align="right" valign="top">const q15_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nn__tables_8h.html#add5ca535701805d3cb61287219975838">sigmoidLTable_q15</a> [128]</td></tr>
+<tr class="separator:add5ca535701805d3cb61287219975838"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<h2 class="groupheader">Variable Documentation</h2>
+<a class="anchor" id="ab5096856d08f98c906b9b02e6c6a8bdf"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">const q15_t sigmoidHTable_q15</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<p>2-way table, H table for value larger than 1/4 L table for value smaller than 1/4, H table for remaining We have this only for the q15_t version. It does not make sense to have it for q7_t type </p>
+
+</div>
+</div>
+<a class="anchor" id="add5ca535701805d3cb61287219975838"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">const q15_t sigmoidLTable_q15</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a class="anchor" id="ab4d7b07c387a3537d4efe21da86115b0"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">const q15_t sigmoidTable_q15[256]</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="group__Acti.html#ga8932b57c8d0ee757511af2d40dcc11e7">arm_nn_activations_direct_q15()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ae2ff3f4e7014f535358167150bdd544f"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">const q7_t sigmoidTable_q7[256]</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<p>This file include the declaration of common tables. Most of them are used for activation functions</p>
+<p>Assumption: Unified table: input is 3.x format, i.e, range of [-8, 8) sigmoid(8) = 0.9996646498695336 tanh(8) = 0.9999997749296758 The accuracy here should be good enough</p>
+<p>2-stage HL table:</p>
+<p>The entire input range is divided into two parts:</p>
+<p>Low range table: 0x000x xxxx or 0x111x xxxx table entry will be the binary number excluding the first two digits, i.e., 0x0x xxxx or 0x1x xxxx</p>
+<p>High range table 0x0010 0000 &ndash; 0x0111 1111 0x1000 0000 &ndash; 0x1101 1111</p>
+<p>For positive numbers, table entry will be 0x0010 0000 &ndash; 0x0111 1111 minus 0x0010 0000 i.e., 0x0000 0000 - 0x0101 11111</p>
+<p>same thing for the negative numbers, table entry will be 0x1000 0000 &ndash; 0x1101 1111 minux 0x0010 0000 i.e., 0x0110 0000 - 0x1011 1111 </p>
+
+<p>Referenced by <a class="el" href="group__Acti.html#ga79f11131ae6767d60e03b1f6506b1af8">arm_nn_activations_direct_q7()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a6faad2fec173b2702fd0f219a83ca320"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">const q15_t tanhTable_q15[256]</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="group__Acti.html#ga8932b57c8d0ee757511af2d40dcc11e7">arm_nn_activations_direct_q15()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a4f854bdf13f630ec21b3ad074491e32f"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">const q7_t tanhTable_q7[256]</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="group__Acti.html#ga79f11131ae6767d60e03b1f6506b1af8">arm_nn_activations_direct_q7()</a>.</p>
+
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+Functions</h2></td></tr>
+<tr class="memitem:ae66f6b31b5ad750f1fe042a706a4e3d4"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main</a> ()</td></tr>
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+Variables</h2></td></tr>
+<tr class="memitem:a230b7412ffaaa297340ddcb49c828b4b"><td class="memItemLeft" align="right" valign="top">static q7_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnexamples__cifar10_8cpp.html#a230b7412ffaaa297340ddcb49c828b4b">conv1_wt</a> [<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#aea8b1c41a63cf63eb6e7f049e84f22f7">CONV1_IM_CH</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#ad51c611a952fac7102ca15a06eabb908">CONV1_KER_DIM</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#ad51c611a952fac7102ca15a06eabb908">CONV1_KER_DIM</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a3c1777ba8f883a5490beb3d79050c8dc">CONV1_OUT_CH</a>]</td></tr>
+<tr class="separator:a230b7412ffaaa297340ddcb49c828b4b"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2dd28923edd6ae13ec6e61e1d876650c"><td class="memItemLeft" align="right" valign="top">static q7_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnexamples__cifar10_8cpp.html#a2dd28923edd6ae13ec6e61e1d876650c">conv1_bias</a> [<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a3c1777ba8f883a5490beb3d79050c8dc">CONV1_OUT_CH</a>]</td></tr>
+<tr class="separator:a2dd28923edd6ae13ec6e61e1d876650c"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a52875a8218c39da056e6d5bfb2030230"><td class="memItemLeft" align="right" valign="top">static q7_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnexamples__cifar10_8cpp.html#a52875a8218c39da056e6d5bfb2030230">conv2_wt</a> [<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a060a8a5766a5eecaff9294f57301c99c">CONV2_IM_CH</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a95b397cea14323e9037604cfcd245c26">CONV2_KER_DIM</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a95b397cea14323e9037604cfcd245c26">CONV2_KER_DIM</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a3be645ea438c983786878c0198ed9ae8">CONV2_OUT_CH</a>]</td></tr>
+<tr class="separator:a52875a8218c39da056e6d5bfb2030230"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+<tr class="separator:a686e558e4de77f778c775c9f0c9866d0"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+<tr class="separator:a174a146d0ffaa32b073c84d95c489fed"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+<tr class="separator:a244dc5b6679b33a0a85b55adbe969208"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:af715ce48798db09f3bed1753fed5c5fb"><td class="memItemLeft" align="right" valign="top">static q7_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnexamples__cifar10_8cpp.html#af715ce48798db09f3bed1753fed5c5fb">ip1_bias</a> [<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#aa7cda996b7185414b1af9762e37ac66f">IP1_OUT</a>]</td></tr>
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+<tr class="memitem:aafa3e1726dde028f2dcce4febc1e9197"><td class="memItemLeft" align="right" valign="top">uint8_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnexamples__cifar10_8cpp.html#aafa3e1726dde028f2dcce4febc1e9197">image_data</a> [<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#aea8b1c41a63cf63eb6e7f049e84f22f7">CONV1_IM_CH</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a23ded220d27415ee1f6d9ac0bfdf38cb">CONV1_IM_DIM</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a23ded220d27415ee1f6d9ac0bfdf38cb">CONV1_IM_DIM</a>]</td></tr>
+<tr class="separator:aafa3e1726dde028f2dcce4febc1e9197"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a75c8e3727f7d3637f03ffb1d9f727313"><td class="memItemLeft" align="right" valign="top">q7_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnexamples__cifar10_8cpp.html#a75c8e3727f7d3637f03ffb1d9f727313">output_data</a> [<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#aa7cda996b7185414b1af9762e37ac66f">IP1_OUT</a>]</td></tr>
+<tr class="separator:a75c8e3727f7d3637f03ffb1d9f727313"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a1f988afc6d7fe29ded1eafbf79a70386"><td class="memItemLeft" align="right" valign="top">q7_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnexamples__cifar10_8cpp.html#a1f988afc6d7fe29ded1eafbf79a70386">col_buffer</a> [2 *5 *5 *32 *2]</td></tr>
+<tr class="separator:a1f988afc6d7fe29ded1eafbf79a70386"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a19548b1fad7cb85d95f5f276873a5de3"><td class="memItemLeft" align="right" valign="top">q7_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnexamples__cifar10_8cpp.html#a19548b1fad7cb85d95f5f276873a5de3">scratch_buffer</a> [32 *32 *10 *4]</td></tr>
+<tr class="separator:a19548b1fad7cb85d95f5f276873a5de3"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<h2 class="groupheader">Function Documentation</h2>
+<a class="anchor" id="ae66f6b31b5ad750f1fe042a706a4e3d4"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">int main </td>
+ <td>(</td>
+ <td class="paramname"></td><td>)</td>
+ <td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>References <a class="el" href="group__NNConv.html#gae00d3c1285907d59657369fc98bcc83f">arm_convolve_HWC_q7_fast()</a>, <a class="el" href="group__NNConv.html#ga98f2ead67d7cbdf558b0cd8a3b8fc148">arm_convolve_HWC_q7_RGB()</a>, <a class="el" href="group__FC.html#gaf82b71ef472a38f8fc9ac414d9d07e67">arm_fully_connected_q7_opt()</a>, <a class="el" href="group__Pooling.html#ga99afcdcc61eaf429ab3ee823702e44ce">arm_maxpool_q7_HWC()</a>, <a class="el" href="group__Acti.html#ga638e803b4fe00426f401783a6255ca30">arm_relu_q7()</a>, <a class="el" href="group__Softmax.html#ga89aff212a97a3cf32d9d7ddf11a8f43e">arm_softmax_q7()</a>, <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a1f988afc6d7fe29ded1eafbf79a70386">col_buffer</a>, <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a2dd28923edd6ae13ec6e61e1d876650c">conv1_bias</a>, <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a4150dd1364fd3534561c5c6e530f9bfb">CONV1_BIAS_LSHIFT</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#aea8b1c41a63cf63eb6e7f049e84f22f7">CONV1_IM_CH</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a23ded220d27415ee1f6d9ac0bfdf38cb">CONV1_IM_DIM</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#ad51c611a952fac7102ca15a06eabb908">CONV1_KER_DIM</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a3c1777ba8f883a5490beb3d79050c8dc">CONV1_OUT_CH</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a6262e2cd96ec12681024ab4ac73d607b">CONV1_OUT_DIM</a>, <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#aa8f89682da16a15a092d06097a5696d3">CONV1_OUT_RSHIFT</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a2bb0fafdfd2c283df4708ec53f3d90f7">CONV1_PADDING</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a596cdcf742e142edc29a0a0e44496c7c">CONV1_STRIDE</a>, <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a230b7412ffaaa297340ddcb49c828b4b">conv1_wt</a>, <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a686e558e4de77f778c775c9f0c9866d0">conv2_bias</a>, <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#afa70cc595390d9205c78a58795f070f4">CONV2_BIAS_LSHIFT</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a060a8a5766a5eecaff9294f57301c99c">CONV2_IM_CH</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a832f71006d5c1e2bedbbcf192308d40e">CONV2_IM_DIM</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a95b397cea14323e9037604cfcd245c26">CONV2_KER_DIM</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a3be645ea438c983786878c0198ed9ae8">CONV2_OUT_CH</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a9953ead804e13dcd90d96dda64a330a4">CONV2_OUT_DIM</a>, <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#ad872d34bfa54d86f9e5177dd2ff40d79">CONV2_OUT_RSHIFT</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a39c1c3497169012a512219446613be0c">CONV2_PADDING</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a04f3292f8c8bac6dab973fb74eab2aa1">CONV2_STRIDE</a>, <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a52875a8218c39da056e6d5bfb2030230">conv2_wt</a>, <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a70b571cac288e0d371eb9f5e7c3ccbdd">conv3_bias</a>, <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a5457926e12a9e6b0ae9754d509fb7918">CONV3_BIAS_LSHIFT</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a1d0f9b2d219527c5070e20c50c0ced41">CONV3_IM_CH</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a04ab2b7e8de2668e0087448664814f87">CONV3_IM_DIM</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a045174d68a25bfd7691303f1a063ac72">CONV3_KER_DIM</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a2ab3ad342128296bb1102c3632131fd7">CONV3_OUT_CH</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#acf75167523a29737f045cc2280ce0914">CONV3_OUT_DIM</a>, <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#ae38425db927f582d7b5edfcfaa03c676">CONV3_OUT_RSHIFT</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#af7824a30efdeefbf468c24a70678131a">CONV3_PADDING</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#af6ff8c82aa2d1f58a125fe71169b7cc1">CONV3_STRIDE</a>, <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a174a146d0ffaa32b073c84d95c489fed">conv3_wt</a>, <a class="el" href="arm__nnexamples__cifar10_8cpp.html#aafa3e1726dde028f2dcce4febc1e9197">image_data</a>, <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a476266acb4adb419f566006dce8829c3">INPUT_MEAN_SHIFT</a>, <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a4205de60010d416664775e3aa0f9ec62">INPUT_RIGHT_SHIFT</a>, <a class="el" href="arm__nnexamples__cifar10_8cpp.html#af715ce48798db09f3bed1753fed5c5fb">ip1_bias</a>, <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a3a98024d4e4c7fa2fbbc216812fb9b35">IP1_BIAS_LSHIFT</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a5777b4b3cc406dc06397ba2d5bed9fda">IP1_DIM</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#aa7cda996b7185414b1af9762e37ac66f">IP1_OUT</a>, <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a67fad411ab3695e450e62ad0509a7eec">IP1_OUT_RSHIFT</a>, <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a244dc5b6679b33a0a85b55adbe969208">ip1_wt</a>, <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a75c8e3727f7d3637f03ffb1d9f727313">output_data</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a5324f2e7e894dd4c9eb2f3b92dd5516c">POOL1_KER_DIM</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a13553cac577d5430e3e43508c5ab6b7b">POOL1_OUT_DIM</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a537abddfc374d05a2513d1cc74b5721b">POOL1_PADDING</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#acad52b60f0a0457ffb643cef69df0c0c">POOL1_STRIDE</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a1b0c6e280d189658130b8b81c6991425">POOL2_KER_DIM</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#ada358cd9b0a9b48a2666e9bfcee90aef">POOL2_OUT_DIM</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a9508f70a2798099db07a6d9b8f892126">POOL2_PADDING</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a158e111c343e144ec2461ea94ab11ab2">POOL2_STRIDE</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a32a30cfd6d89ab4fdbfad9732d71297d">POOL3_KER_DIM</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#ae4a4616060ad43b06d5c1aea834a25e5">POOL3_OUT_DIM</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#aac063e83339cc89308fb23a6922a5d98">POOL3_PADDING</a>, <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a74efaa8ffffc0437b54143878ac8cde7">POOL3_STRIDE</a>, and <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a19548b1fad7cb85d95f5f276873a5de3">scratch_buffer</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Variable Documentation</h2>
+<a class="anchor" id="a1f988afc6d7fe29ded1eafbf79a70386"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t col_buffer[2 *5 *5 *32 *2]</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a2dd28923edd6ae13ec6e61e1d876650c"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t conv1_bias[<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a3c1777ba8f883a5490beb3d79050c8dc">CONV1_OUT_CH</a>]</td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a230b7412ffaaa297340ddcb49c828b4b"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t conv1_wt[<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#aea8b1c41a63cf63eb6e7f049e84f22f7">CONV1_IM_CH</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#ad51c611a952fac7102ca15a06eabb908">CONV1_KER_DIM</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#ad51c611a952fac7102ca15a06eabb908">CONV1_KER_DIM</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a3c1777ba8f883a5490beb3d79050c8dc">CONV1_OUT_CH</a>]</td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a686e558e4de77f778c775c9f0c9866d0"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t conv2_bias[<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a3be645ea438c983786878c0198ed9ae8">CONV2_OUT_CH</a>]</td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a52875a8218c39da056e6d5bfb2030230"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t conv2_wt[<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a060a8a5766a5eecaff9294f57301c99c">CONV2_IM_CH</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a95b397cea14323e9037604cfcd245c26">CONV2_KER_DIM</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a95b397cea14323e9037604cfcd245c26">CONV2_KER_DIM</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a3be645ea438c983786878c0198ed9ae8">CONV2_OUT_CH</a>]</td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a70b571cac288e0d371eb9f5e7c3ccbdd"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t conv3_bias[<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a2ab3ad342128296bb1102c3632131fd7">CONV3_OUT_CH</a>]</td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a174a146d0ffaa32b073c84d95c489fed"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t conv3_wt[<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a1d0f9b2d219527c5070e20c50c0ced41">CONV3_IM_CH</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a045174d68a25bfd7691303f1a063ac72">CONV3_KER_DIM</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a045174d68a25bfd7691303f1a063ac72">CONV3_KER_DIM</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a2ab3ad342128296bb1102c3632131fd7">CONV3_OUT_CH</a>]</td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="aafa3e1726dde028f2dcce4febc1e9197"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">uint8_t image_data[<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#aea8b1c41a63cf63eb6e7f049e84f22f7">CONV1_IM_CH</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a23ded220d27415ee1f6d9ac0bfdf38cb">CONV1_IM_DIM</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a23ded220d27415ee1f6d9ac0bfdf38cb">CONV1_IM_DIM</a>]</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="af715ce48798db09f3bed1753fed5c5fb"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t ip1_bias[<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#aa7cda996b7185414b1af9762e37ac66f">IP1_OUT</a>]</td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a244dc5b6679b33a0a85b55adbe969208"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t ip1_wt[<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a5777b4b3cc406dc06397ba2d5bed9fda">IP1_DIM</a> *<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#aa7cda996b7185414b1af9762e37ac66f">IP1_OUT</a>]</td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a75c8e3727f7d3637f03ffb1d9f727313"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t output_data[<a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#aa7cda996b7185414b1af9762e37ac66f">IP1_OUT</a>]</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a19548b1fad7cb85d95f5f276873a5de3"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t scratch_buffer[32 *32 *10 *4]</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
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+ <li class="navelem"><a class="el" href="dir_06560e3359c5da94845158f0031c08e8.html">NN</a></li><li class="navelem"><a class="el" href="dir_42ee8ba91ca7a55df66538ce31ddec49.html">Examples</a></li><li class="navelem"><a class="el" href="dir_1c6ec18b156ae6affcf9513e9ed30cbf.html">ARM</a></li><li class="navelem"><a class="el" href="dir_b7d5e60e0ec4c139f7aa9a155c284f70.html">arm_nn_examples</a></li><li class="navelem"><a class="el" href="dir_21d6d99be497a80d1e903a1ff5a6bb5a.html">cifar10</a></li><li class="navelem"><a class="el" href="arm__nnexamples__cifar10_8cpp.html">arm_nnexamples_cifar10.cpp</a></li>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+ </tr>
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+</div><div class="memdoc">
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+</div>
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+ <tr>
+ <td class="memname">#define POOL1_KER_DIM</td>
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+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+</div><div class="memdoc">
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+</div><div class="memdoc">
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+ <td class="memname">#define POOL2_OUT_DIM</td>
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+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
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+ <td class="memname">#define POOL2_PADDING</td>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+</table>
+<h2 class="groupheader">Macro Definition Documentation</h2>
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+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
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+ <td class="memname">#define CONV1_BIAS</td>
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+
+</div>
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+ <tr>
+ <td class="memname">#define CONV1_BIAS_LSHIFT</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
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+ <tr>
+ <td class="memname">#define CONV1_OUT_RSHIFT</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
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+ <td class="memname">#define CONV1_WT</td>
+ </tr>
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+</div>
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+ <td class="memname">#define CONV2_BIAS</td>
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+</div>
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+ <tr>
+ <td class="memname">#define CONV2_BIAS_LSHIFT</td>
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+ </table>
+</div><div class="memdoc">
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
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+ <tr>
+ <td class="memname">#define CONV2_OUT_RSHIFT</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
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+ <td class="memname">#define CONV2_WT</td>
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+ <td class="memname">#define CONV3_BIAS</td>
+ </tr>
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+ <tr>
+ <td class="memname">#define CONV3_BIAS_LSHIFT</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
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+<div class="memitem">
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+ <tr>
+ <td class="memname">#define CONV3_OUT_RSHIFT</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
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+ <td class="memname">#define CONV3_WT</td>
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+ <td class="memname">#define INPUT_MEAN_SHIFT</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a4205de60010d416664775e3aa0f9ec62"></a>
+<div class="memitem">
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+ <tr>
+ <td class="memname">#define INPUT_RIGHT_SHIFT</td>
+ </tr>
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+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
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+ <td class="memname">#define IP1_BIAS_LSHIFT</td>
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
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+ <td class="memname">#define IP1_OUT_RSHIFT</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
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+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
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+<tr class="separator:ac327d41d23812b53d83c2da91971cbfe"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a935afa741bcc39e4c4c48b019d415d97"><td class="memItemLeft" align="right" valign="top">q15_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnexamples__gru_8cpp.html#a935afa741bcc39e4c4c48b019d415d97">scratch_buffer</a> [<a class="el" href="arm__nnexamples__gru_8cpp.html#ad9fde6ff501c9cd8a6cfc45949464c49">DIM_HISTORY</a> *4+<a class="el" href="arm__nnexamples__gru_8cpp.html#ac8ab7c242bba66633b8c06966da6c9bc">DIM_INPUT</a>]</td></tr>
+<tr class="separator:a935afa741bcc39e4c4c48b019d415d97"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<h2 class="groupheader">Macro Definition Documentation</h2>
+<a class="anchor" id="ad9fde6ff501c9cd8a6cfc45949464c49"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">#define DIM_HISTORY</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__gru_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ac8ab7c242bba66633b8c06966da6c9bc"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">#define DIM_INPUT</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__gru_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a9b4b56c701e4258f8f6c87f225fbcebc"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">#define DIM_VEC</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a class="anchor" id="a206812c9f4afd792e23a8d842ffa2984"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">#define USE_X4</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<h2 class="groupheader">Function Documentation</h2>
+<a class="anchor" id="ac71a806472c7c0c284a2253e71a6a27b"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void gru_example </td>
+ <td>(</td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>scratch_input</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint16_t&#160;</td>
+ <td class="paramname"><em>input_size</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint16_t&#160;</td>
+ <td class="paramname"><em>history_size</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>weights_update</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>weights_reset</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>weights_hidden_state</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>bias_update</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>bias_reset</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>bias_hidden_state</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>References <a class="el" href="group__FC.html#ga4a1521e7532a1e62d71f3b12762016e2">arm_fully_connected_mat_q7_vec_q15()</a>, <a class="el" href="group__FC.html#gae3857bb6375692e81dde8cbd70adec08">arm_fully_connected_mat_q7_vec_q15_opt()</a>, <a class="el" href="group__Acti.html#ga8932b57c8d0ee757511af2d40dcc11e7">arm_nn_activations_direct_q15()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0a49b307e029715fbaa6f3101c806b8c54">ARM_SIGMOID</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0ac24e4db95c986f16c10dca71a4b4e1c5">ARM_TANH</a>.</p>
+
+<p>Referenced by <a class="el" href="arm__nnexamples__gru_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ae66f6b31b5ad750f1fe042a706a4e3d4"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">int main </td>
+ <td>(</td>
+ <td class="paramname"></td><td>)</td>
+ <td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>References <a class="el" href="arm__nnexamples__gru_8cpp.html#ad9fde6ff501c9cd8a6cfc45949464c49">DIM_HISTORY</a>, <a class="el" href="arm__nnexamples__gru_8cpp.html#ac8ab7c242bba66633b8c06966da6c9bc">DIM_INPUT</a>, <a class="el" href="arm__nnexamples__gru_8cpp.html#ac71a806472c7c0c284a2253e71a6a27b">gru_example()</a>, <a class="el" href="arm__nnexamples__gru_8cpp.html#a40dda695923891899cb86b2f01bfd98a">hidden_state_bias</a>, <a class="el" href="arm__nnexamples__gru_8cpp.html#ab18783e8d8449d7222ec4a64dfcc92e6">hidden_state_weights</a>, <a class="el" href="arm__nnexamples__gru_8cpp.html#a2a9d5c9f16ee778ecc8170d8664722c7">reset_gate_bias</a>, <a class="el" href="arm__nnexamples__gru_8cpp.html#ac2ae1ff19167c2bb359db2b319ca1060">reset_gate_weights</a>, <a class="el" href="arm__nnexamples__gru_8cpp.html#a935afa741bcc39e4c4c48b019d415d97">scratch_buffer</a>, <a class="el" href="arm__nnexamples__gru_8cpp.html#ac327d41d23812b53d83c2da91971cbfe">test_history</a>, <a class="el" href="arm__nnexamples__gru_8cpp.html#a8b0acc149c9bd4aadfb9c1fa8345f57a">test_input1</a>, <a class="el" href="arm__nnexamples__gru_8cpp.html#aad5944359ea4a426550a87efd0d90b02">test_input2</a>, <a class="el" href="arm__nnexamples__gru_8cpp.html#ac5569d687768d693618f987a91e8aee5">update_gate_bias</a>, and <a class="el" href="arm__nnexamples__gru_8cpp.html#aa2fc9b2b0449790ed7c37bab7fd3093e">update_gate_weights</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Variable Documentation</h2>
+<a class="anchor" id="a40dda695923891899cb86b2f01bfd98a"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t hidden_state_bias[<a class="el" href="arm__nnexamples__gru_8cpp.html#ad9fde6ff501c9cd8a6cfc45949464c49">DIM_HISTORY</a>]</td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__gru_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ab18783e8d8449d7222ec4a64dfcc92e6"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t hidden_state_weights[<a class="el" href="arm__nnexamples__gru_8cpp.html#a9b4b56c701e4258f8f6c87f225fbcebc">DIM_VEC</a> *<a class="el" href="arm__nnexamples__gru_8cpp.html#ad9fde6ff501c9cd8a6cfc45949464c49">DIM_HISTORY</a>]</td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__gru_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a2a9d5c9f16ee778ecc8170d8664722c7"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t reset_gate_bias[<a class="el" href="arm__nnexamples__gru_8cpp.html#ad9fde6ff501c9cd8a6cfc45949464c49">DIM_HISTORY</a>]</td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__gru_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ac2ae1ff19167c2bb359db2b319ca1060"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t reset_gate_weights[<a class="el" href="arm__nnexamples__gru_8cpp.html#a9b4b56c701e4258f8f6c87f225fbcebc">DIM_VEC</a> *<a class="el" href="arm__nnexamples__gru_8cpp.html#ad9fde6ff501c9cd8a6cfc45949464c49">DIM_HISTORY</a>]</td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__gru_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a935afa741bcc39e4c4c48b019d415d97"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">q15_t scratch_buffer[<a class="el" href="arm__nnexamples__gru_8cpp.html#ad9fde6ff501c9cd8a6cfc45949464c49">DIM_HISTORY</a> *4+<a class="el" href="arm__nnexamples__gru_8cpp.html#ac8ab7c242bba66633b8c06966da6c9bc">DIM_INPUT</a>]</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__gru_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ac327d41d23812b53d83c2da91971cbfe"></a>
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
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+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__gru_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a8b0acc149c9bd4aadfb9c1fa8345f57a"></a>
+<div class="memitem">
+<div class="memproto">
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+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
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+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__gru_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
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+<div class="memitem">
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+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
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+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__gru_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
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+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t update_gate_bias[<a class="el" href="arm__nnexamples__gru_8cpp.html#ad9fde6ff501c9cd8a6cfc45949464c49">DIM_HISTORY</a>]</td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">static</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="arm__nnexamples__gru_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
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+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t update_gate_weights[<a class="el" href="arm__nnexamples__gru_8cpp.html#a9b4b56c701e4258f8f6c87f225fbcebc">DIM_VEC</a> *<a class="el" href="arm__nnexamples__gru_8cpp.html#ad9fde6ff501c9cd8a6cfc45949464c49">DIM_HISTORY</a>]</td>
+ </tr>
+ </table>
+ </td>
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+<tr class="memitem:a710b6e009261290c6151f329cf409530"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnfunctions_8h.html#a710b6e009261290c6151f329cf409530">USE_INTRINSIC</a></td></tr>
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+<tr class="separator:ga98f2ead67d7cbdf558b0cd8a3b8fc148"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+<tr class="separator:ga614ec3b71eb96e29952ec3f09e7b9c3c"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+<tr class="separator:gad3d21b3bc6dbd6f3b97d01104349cb0a"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+<tr class="separator:ga32ac508c5467813a84f74f96655dc697"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga8b7e0c2e989e8c75f0dc789f3115323d"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__FC.html#ga8b7e0c2e989e8c75f0dc789f3115323d">arm_fully_connected_q7</a> (const q7_t *pV, const q7_t *pM, const uint16_t dim_vec, const uint16_t num_of_rows, const uint16_t bias_shift, const uint16_t out_shift, const q7_t *bias, q7_t *pOut, q15_t *vec_buffer)</td></tr>
+<tr class="memdesc:ga8b7e0c2e989e8c75f0dc789f3115323d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 basic fully-connected layer function. <a href="group__FC.html#ga8b7e0c2e989e8c75f0dc789f3115323d">More...</a><br/></td></tr>
+<tr class="separator:ga8b7e0c2e989e8c75f0dc789f3115323d"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+<tr class="separator:gaf82b71ef472a38f8fc9ac414d9d07e67"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+<tr class="separator:gaac666c212b209e636c2369dd5c75d0dc"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+<tr class="memdesc:ga062912078da113f5dd2004fd919a0ff2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q15 opt fully-connected layer function. <a href="group__FC.html#ga062912078da113f5dd2004fd919a0ff2">More...</a><br/></td></tr>
+<tr class="separator:ga062912078da113f5dd2004fd919a0ff2"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+<tr class="memdesc:ga4a1521e7532a1e62d71f3b12762016e2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Mixed Q15-Q7 fully-connected layer function. <a href="group__FC.html#ga4a1521e7532a1e62d71f3b12762016e2">More...</a><br/></td></tr>
+<tr class="separator:ga4a1521e7532a1e62d71f3b12762016e2"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:gae3857bb6375692e81dde8cbd70adec08"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__FC.html#gae3857bb6375692e81dde8cbd70adec08">arm_fully_connected_mat_q7_vec_q15_opt</a> (const q15_t *pV, const q7_t *pM, const uint16_t dim_vec, const uint16_t num_of_rows, const uint16_t bias_shift, const uint16_t out_shift, const q7_t *bias, q15_t *pOut, q15_t *vec_buffer)</td></tr>
+<tr class="memdesc:gae3857bb6375692e81dde8cbd70adec08"><td class="mdescLeft">&#160;</td><td class="mdescRight">Mixed Q15-Q7 opt fully-connected layer function. <a href="group__FC.html#gae3857bb6375692e81dde8cbd70adec08">More...</a><br/></td></tr>
+<tr class="separator:gae3857bb6375692e81dde8cbd70adec08"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:abc4fb258cfe8500ee68e812a293a80a3"><td class="memItemLeft" align="right" valign="top">q7_t *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnfunctions_8h.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nn_mat_mult_kernel_q7_q15</a> (const q7_t *pA, const q15_t *pInBuffer, const uint16_t ch_im_out, const uint16_t numCol_A, const uint16_t bias_shift, const uint16_t out_shift, const q7_t *bias, q7_t *pOut)</td></tr>
+<tr class="memdesc:abc4fb258cfe8500ee68e812a293a80a3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Matrix-Multiplication Kernels for Convolution. <a href="#abc4fb258cfe8500ee68e812a293a80a3">More...</a><br/></td></tr>
+<tr class="separator:abc4fb258cfe8500ee68e812a293a80a3"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aefe9c7ce9a65060a244b06dffe74c4b3"><td class="memItemLeft" align="right" valign="top">q7_t *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnfunctions_8h.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nn_mat_mult_kernel_q7_q15_reordered</a> (const q7_t *pA, const q15_t *pInBuffer, const uint16_t ch_im_out, const uint16_t numCol_A, const uint16_t bias_shift, const uint16_t out_shift, const q7_t *bias, q7_t *pOut)</td></tr>
+<tr class="memdesc:aefe9c7ce9a65060a244b06dffe74c4b3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Matrix-multiplication function for convolution with reordered columns. <a href="#aefe9c7ce9a65060a244b06dffe74c4b3">More...</a><br/></td></tr>
+<tr class="separator:aefe9c7ce9a65060a244b06dffe74c4b3"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga638e803b4fe00426f401783a6255ca30"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Acti.html#ga638e803b4fe00426f401783a6255ca30">arm_relu_q7</a> (q7_t *data, uint16_t size)</td></tr>
+<tr class="memdesc:ga638e803b4fe00426f401783a6255ca30"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 RELU function. <a href="group__Acti.html#ga638e803b4fe00426f401783a6255ca30">More...</a><br/></td></tr>
+<tr class="separator:ga638e803b4fe00426f401783a6255ca30"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga53bcc00e54b802919bb3c89c143ee5ba"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Acti.html#ga53bcc00e54b802919bb3c89c143ee5ba">arm_relu_q15</a> (q15_t *data, uint16_t size)</td></tr>
+<tr class="memdesc:ga53bcc00e54b802919bb3c89c143ee5ba"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q15 RELU function. <a href="group__Acti.html#ga53bcc00e54b802919bb3c89c143ee5ba">More...</a><br/></td></tr>
+<tr class="separator:ga53bcc00e54b802919bb3c89c143ee5ba"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga79f11131ae6767d60e03b1f6506b1af8"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Acti.html#ga79f11131ae6767d60e03b1f6506b1af8">arm_nn_activations_direct_q7</a> (q7_t *data, uint16_t size, uint16_t int_width, <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0">arm_nn_activation_type</a> type)</td></tr>
+<tr class="memdesc:ga79f11131ae6767d60e03b1f6506b1af8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 neural network activation function using direct table look-up. <a href="group__Acti.html#ga79f11131ae6767d60e03b1f6506b1af8">More...</a><br/></td></tr>
+<tr class="separator:ga79f11131ae6767d60e03b1f6506b1af8"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga8932b57c8d0ee757511af2d40dcc11e7"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Acti.html#ga8932b57c8d0ee757511af2d40dcc11e7">arm_nn_activations_direct_q15</a> (q15_t *data, uint16_t size, uint16_t int_width, <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0">arm_nn_activation_type</a> type)</td></tr>
+<tr class="memdesc:ga8932b57c8d0ee757511af2d40dcc11e7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q15 neural network activation function using direct table look-up. <a href="group__Acti.html#ga8932b57c8d0ee757511af2d40dcc11e7">More...</a><br/></td></tr>
+<tr class="separator:ga8932b57c8d0ee757511af2d40dcc11e7"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga99afcdcc61eaf429ab3ee823702e44ce"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Pooling.html#ga99afcdcc61eaf429ab3ee823702e44ce">arm_maxpool_q7_HWC</a> (q7_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const uint16_t dim_im_out, q7_t *bufferA, q7_t *Im_out)</td></tr>
+<tr class="memdesc:ga99afcdcc61eaf429ab3ee823702e44ce"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 max pooling function. <a href="group__Pooling.html#ga99afcdcc61eaf429ab3ee823702e44ce">More...</a><br/></td></tr>
+<tr class="separator:ga99afcdcc61eaf429ab3ee823702e44ce"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:gae4a7b07f97ec4313524c9fb9fbcb1f6a"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Pooling.html#gae4a7b07f97ec4313524c9fb9fbcb1f6a">arm_avepool_q7_HWC</a> (q7_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const uint16_t dim_im_out, q7_t *bufferA, q7_t *Im_out)</td></tr>
+<tr class="memdesc:gae4a7b07f97ec4313524c9fb9fbcb1f6a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 average pooling function. <a href="group__Pooling.html#gae4a7b07f97ec4313524c9fb9fbcb1f6a">More...</a><br/></td></tr>
+<tr class="separator:gae4a7b07f97ec4313524c9fb9fbcb1f6a"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga89aff212a97a3cf32d9d7ddf11a8f43e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Softmax.html#ga89aff212a97a3cf32d9d7ddf11a8f43e">arm_softmax_q7</a> (const q7_t *vec_in, const uint16_t dim_vec, q7_t *p_out)</td></tr>
+<tr class="memdesc:ga89aff212a97a3cf32d9d7ddf11a8f43e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 softmax function. <a href="group__Softmax.html#ga89aff212a97a3cf32d9d7ddf11a8f43e">More...</a><br/></td></tr>
+<tr class="separator:ga89aff212a97a3cf32d9d7ddf11a8f43e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga1cacd8b84b8363079311987d0016ebe5"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Softmax.html#ga1cacd8b84b8363079311987d0016ebe5">arm_softmax_q15</a> (const q15_t *vec_in, const uint16_t dim_vec, q15_t *p_out)</td></tr>
+<tr class="memdesc:ga1cacd8b84b8363079311987d0016ebe5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q15 softmax function. <a href="group__Softmax.html#ga1cacd8b84b8363079311987d0016ebe5">More...</a><br/></td></tr>
+<tr class="separator:ga1cacd8b84b8363079311987d0016ebe5"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<h2 class="groupheader">Macro Definition Documentation</h2>
+<a class="anchor" id="a710b6e009261290c6151f329cf409530"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">#define USE_INTRINSIC</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<h2 class="groupheader">Function Documentation</h2>
+<a class="anchor" id="abc4fb258cfe8500ee68e812a293a80a3"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t* arm_nn_mat_mult_kernel_q7_q15 </td>
+ <td>(</td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>pA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>pInBuffer</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>numCol_A</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>pOut</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<p>These functions are used within convolution layer functions for matrix multiplication.</p>
+<p>The implementation is similar to CMSIS-DSP arm_mat_mult functions with one Q7 and one Q15 operands. The Q15 operand is the im2col output which is always with 2 columns. Matrix-multiplication function for convolution </p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">pA</td><td>pointer to operand A </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">pInBuffer</td><td>pointer to operand B, always conssists of 2 vectors </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>numRow of A </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">numCol_A</td><td>numCol of A </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>the bias </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">pOut</td><td>pointer to output </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns the incremented output pointer</dd></dl>
+<p>Matrix-Multiplication Kernels for Convolution.</p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">pA</td><td>pointer to operand A </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">pInBuffer</td><td>pointer to operand B, always conssists of 2 vectors </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>numRow of A </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">numCol_A</td><td>numCol of A </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>the bias </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">pOut</td><td>pointer to output </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns the incremented output pointer</dd></dl>
+<p>This function does the matrix multiplication with weight matrix and 2 columns from im2col. </p>
+
+<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+<p>Referenced by <a class="el" href="group__NNConv.html#ga210ae8d8fc1d12ee15b41f1fa6947681">arm_convolve_HWC_q7_basic()</a>, <a class="el" href="group__NNConv.html#ga4501fa22c0836002aa47ccc313dce252">arm_convolve_HWC_q7_basic_nonsquare()</a>, and <a class="el" href="group__NNConv.html#ga98f2ead67d7cbdf558b0cd8a3b8fc148">arm_convolve_HWC_q7_RGB()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="aefe9c7ce9a65060a244b06dffe74c4b3"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">q7_t* arm_nn_mat_mult_kernel_q7_q15_reordered </td>
+ <td>(</td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>pA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>pInBuffer</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>numCol_A</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>pOut</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">pA</td><td>pointer to operand A </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">pInBuffer</td><td>pointer to operand B, always conssists of 2 vectors </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>numRow of A </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">numCol_A</td><td>numCol of A </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>the bias </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">pOut</td><td>pointer to output </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns the incremented output pointer</dd></dl>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">pA</td><td>pointer to operand A </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">pInBuffer</td><td>pointer to operand B, always conssists of 2 vectors </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>numRow of A </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">numCol_A</td><td>numCol of A </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>the bias </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">pOut</td><td>pointer to output </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns the incremented output pointer</dd></dl>
+<p>This function assumes that data in pInBuffer are reordered </p>
+
+<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+<p>Referenced by <a class="el" href="group__NNConv.html#ga110adcfdaab356c750c6270aa5e05f29">arm_convolve_1x1_HWC_q7_fast_nonsquare()</a>, <a class="el" href="group__NNConv.html#gae00d3c1285907d59657369fc98bcc83f">arm_convolve_HWC_q7_fast()</a>, and <a class="el" href="group__NNConv.html#gabc6d6b991024e9e5c5cdbd7489de88ef">arm_convolve_HWC_q7_fast_nonsquare()</a>.</p>
+
+</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" href="dir_06560e3359c5da94845158f0031c08e8.html">NN</a></li><li class="navelem"><a class="el" href="dir_17aeddf785065efc95337b880bac512b.html">Include</a></li><li class="navelem"><a class="el" href="arm__nnfunctions_8h.html">arm_nnfunctions.h</a></li>
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+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a>
+Data Structures</h2></td></tr>
+<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">union &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="unionarm__nnword.html">arm_nnword</a></td></tr>
+<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Union for SIMD access of Q31/Q15/Q7 types. <a href="unionarm__nnword.html#details">More...</a><br/></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="define-members"></a>
+Macros</h2></td></tr>
+<tr class="memitem:a4cbd428a2b4a4f6b2a6e4219520c7ce0"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>(out_shift)</td></tr>
+<tr class="memdesc:a4cbd428a2b4a4f6b2a6e4219520c7ce0"><td class="mdescLeft">&#160;</td><td class="mdescRight">defition to adding rouding offset <a href="#a4cbd428a2b4a4f6b2a6e4219520c7ce0">More...</a><br/></td></tr>
+<tr class="separator:a4cbd428a2b4a4f6b2a6e4219520c7ce0"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="enum-members"></a>
+Enumerations</h2></td></tr>
+<tr class="memitem:a7f41aa78cd9a0552fae9b348ee4831a0"><td class="memItemLeft" align="right" valign="top">enum &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0">arm_nn_activation_type</a> </td></tr>
+<tr class="memdesc:a7f41aa78cd9a0552fae9b348ee4831a0"><td class="mdescLeft">&#160;</td><td class="mdescRight">Struct for specifying activation function types. <a href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0">More...</a><br/></td></tr>
+<tr class="separator:a7f41aa78cd9a0552fae9b348ee4831a0"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
+Functions</h2></td></tr>
+<tr class="memitem:gae349de4dba8d253c89d45794ccf05680"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__nndata__convert.html#gae349de4dba8d253c89d45794ccf05680">arm_q7_to_q15_no_shift</a> (const q7_t *pSrc, q15_t *pDst, uint32_t blockSize)</td></tr>
+<tr class="memdesc:gae349de4dba8d253c89d45794ccf05680"><td class="mdescLeft">&#160;</td><td class="mdescRight">Converts the elements of the Q7 vector to Q15 vector without left-shift. <a href="group__nndata__convert.html#gae349de4dba8d253c89d45794ccf05680">More...</a><br/></td></tr>
+<tr class="separator:gae349de4dba8d253c89d45794ccf05680"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:gaba8fd446d5f54760b406ee63b25d1aee"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">arm_q7_to_q15_reordered_no_shift</a> (const q7_t *pSrc, q15_t *pDst, uint32_t blockSize)</td></tr>
+<tr class="memdesc:gaba8fd446d5f54760b406ee63b25d1aee"><td class="mdescLeft">&#160;</td><td class="mdescRight">Converts the elements of the Q7 vector to reordered Q15 vector without left-shift. <a href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">More...</a><br/></td></tr>
+<tr class="separator:gaba8fd446d5f54760b406ee63b25d1aee"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga08f8340aa6533271b3aa6d211614fe22"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNBasicMath.html#ga08f8340aa6533271b3aa6d211614fe22">arm_nn_mult_q15</a> (q15_t *pSrcA, q15_t *pSrcB, q15_t *pDst, const uint16_t out_shift, uint32_t blockSize)</td></tr>
+<tr class="memdesc:ga08f8340aa6533271b3aa6d211614fe22"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 vector multiplication with variable output shifts. <a href="group__NNBasicMath.html#ga08f8340aa6533271b3aa6d211614fe22">More...</a><br/></td></tr>
+<tr class="separator:ga08f8340aa6533271b3aa6d211614fe22"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:gad46c9ab012cceda8ce6681c687a58c70"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNBasicMath.html#gad46c9ab012cceda8ce6681c687a58c70">arm_nn_mult_q7</a> (q7_t *pSrcA, q7_t *pSrcB, q7_t *pDst, const uint16_t out_shift, uint32_t blockSize)</td></tr>
+<tr class="memdesc:gad46c9ab012cceda8ce6681c687a58c70"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 vector multiplication with variable output shifts. <a href="group__NNBasicMath.html#gad46c9ab012cceda8ce6681c687a58c70">More...</a><br/></td></tr>
+<tr class="separator:gad46c9ab012cceda8ce6681c687a58c70"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<h2 class="groupheader">Macro Definition Documentation</h2>
+<a class="anchor" id="a4cbd428a2b4a4f6b2a6e4219520c7ce0"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">#define NN_ROUND</td>
+ <td>(</td>
+ <td class="paramtype">&#160;</td>
+ <td class="paramname">out_shift</td><td>)</td>
+ <td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="group__NNConv.html#ga110adcfdaab356c750c6270aa5e05f29">arm_convolve_1x1_HWC_q7_fast_nonsquare()</a>, <a class="el" href="group__NNConv.html#ga55701f213b198084b52eab53097f1f58">arm_convolve_HWC_q15_basic()</a>, <a class="el" href="group__NNConv.html#ga4efb1ccbbaa7dd936961989dcb443f50">arm_convolve_HWC_q15_fast()</a>, <a class="el" href="group__NNConv.html#ga614ec3b71eb96e29952ec3f09e7b9c3c">arm_convolve_HWC_q15_fast_nonsquare()</a>, <a class="el" href="group__NNConv.html#ga210ae8d8fc1d12ee15b41f1fa6947681">arm_convolve_HWC_q7_basic()</a>, <a class="el" href="group__NNConv.html#ga4501fa22c0836002aa47ccc313dce252">arm_convolve_HWC_q7_basic_nonsquare()</a>, <a class="el" href="group__NNConv.html#gae00d3c1285907d59657369fc98bcc83f">arm_convolve_HWC_q7_fast()</a>, <a class="el" href="group__NNConv.html#gabc6d6b991024e9e5c5cdbd7489de88ef">arm_convolve_HWC_q7_fast_nonsquare()</a>, <a class="el" href="group__NNConv.html#ga98f2ead67d7cbdf558b0cd8a3b8fc148">arm_convolve_HWC_q7_RGB()</a>, <a class="el" href="group__NNConv.html#gad3d21b3bc6dbd6f3b97d01104349cb0a">arm_depthwise_separable_conv_HWC_q7()</a>, <a class="el" href="group__NNConv.html#ga32ac508c5467813a84f74f96655dc697">arm_depthwise_separable_conv_HWC_q7_nonsquare()</a>, <a class="el" href="group__FC.html#ga4a1521e7532a1e62d71f3b12762016e2">arm_fully_connected_mat_q7_vec_q15()</a>, <a class="el" href="group__FC.html#gae3857bb6375692e81dde8cbd70adec08">arm_fully_connected_mat_q7_vec_q15_opt()</a>, <a class="el" href="group__FC.html#gaac666c212b209e636c2369dd5c75d0dc">arm_fully_connected_q15()</a>, <a class="el" href="group__FC.html#ga062912078da113f5dd2004fd919a0ff2">arm_fully_connected_q15_opt()</a>, <a class="el" href="group__FC.html#ga8b7e0c2e989e8c75f0dc789f3115323d">arm_fully_connected_q7()</a>, <a class="el" href="group__FC.html#gaf82b71ef472a38f8fc9ac414d9d07e67">arm_fully_connected_q7_opt()</a>, <a class="el" href="arm__nn__mat__mult__kernel__q7__q15_8c.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nn_mat_mult_kernel_q7_q15()</a>, <a class="el" href="arm__nn__mat__mult__kernel__q7__q15__reordered_8c.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nn_mat_mult_kernel_q7_q15_reordered()</a>, <a class="el" href="group__NNBasicMath.html#ga08f8340aa6533271b3aa6d211614fe22">arm_nn_mult_q15()</a>, and <a class="el" href="group__NNBasicMath.html#gad46c9ab012cceda8ce6681c687a58c70">arm_nn_mult_q7()</a>.</p>
+
+</div>
+</div>
+<h2 class="groupheader">Enumeration Type Documentation</h2>
+<a class="anchor" id="a7f41aa78cd9a0552fae9b348ee4831a0"></a>
+<div class="memitem">
+<div class="memproto">
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+ <tr>
+ <td class="memname">enum <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0">arm_nn_activation_type</a></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<table class="fieldtable">
+<tr><th colspan="2">Enumerator</th></tr><tr><td class="fieldname"><em><a class="anchor" id="a7f41aa78cd9a0552fae9b348ee4831a0a49b307e029715fbaa6f3101c806b8c54"></a>ARM_SIGMOID</em>&#160;</td><td class="fielddoc">
+<p>Sigmoid activation function </p>
+</td></tr>
+<tr><td class="fieldname"><em><a class="anchor" id="a7f41aa78cd9a0552fae9b348ee4831a0ac24e4db95c986f16c10dca71a4b4e1c5"></a>ARM_TANH</em>&#160;</td><td class="fielddoc">
+<p>Tanh activation function </p>
+</td></tr>
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+Variables</h2></td></tr>
+<tr class="memitem:ae2ff3f4e7014f535358167150bdd544f"><td class="memItemLeft" align="right" valign="top">const q7_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nntables_8c.html#ae2ff3f4e7014f535358167150bdd544f">sigmoidTable_q7</a> [256]</td></tr>
+<tr class="memdesc:ae2ff3f4e7014f535358167150bdd544f"><td class="mdescLeft">&#160;</td><td class="mdescRight">tables for various activation functions <a href="#ae2ff3f4e7014f535358167150bdd544f">More...</a><br/></td></tr>
+<tr class="separator:ae2ff3f4e7014f535358167150bdd544f"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab4d7b07c387a3537d4efe21da86115b0"><td class="memItemLeft" align="right" valign="top">const q15_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nntables_8c.html#ab4d7b07c387a3537d4efe21da86115b0">sigmoidTable_q15</a> [256]</td></tr>
+<tr class="memdesc:ab4d7b07c387a3537d4efe21da86115b0"><td class="mdescLeft">&#160;</td><td class="mdescRight">tables for various activation functions <a href="#ab4d7b07c387a3537d4efe21da86115b0">More...</a><br/></td></tr>
+<tr class="separator:ab4d7b07c387a3537d4efe21da86115b0"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a69dc528cb377690d5b37accfdfd226b1"><td class="memItemLeft" align="right" valign="top">const q15_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nntables_8c.html#a69dc528cb377690d5b37accfdfd226b1">sigmoidLTable_q15</a> [128]</td></tr>
+<tr class="separator:a69dc528cb377690d5b37accfdfd226b1"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a107a16eaa36f4392fa3ed3792ad6c2cb"><td class="memItemLeft" align="right" valign="top">const q15_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nntables_8c.html#a107a16eaa36f4392fa3ed3792ad6c2cb">sigmoidHTable_q15</a> [192]</td></tr>
+<tr class="memdesc:a107a16eaa36f4392fa3ed3792ad6c2cb"><td class="mdescLeft">&#160;</td><td class="mdescRight">2-way tables for various activation functions <a href="#a107a16eaa36f4392fa3ed3792ad6c2cb">More...</a><br/></td></tr>
+<tr class="separator:a107a16eaa36f4392fa3ed3792ad6c2cb"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4f854bdf13f630ec21b3ad074491e32f"><td class="memItemLeft" align="right" valign="top">const q7_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nntables_8c.html#a4f854bdf13f630ec21b3ad074491e32f">tanhTable_q7</a> [256]</td></tr>
+<tr class="separator:a4f854bdf13f630ec21b3ad074491e32f"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6faad2fec173b2702fd0f219a83ca320"><td class="memItemLeft" align="right" valign="top">const q15_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nntables_8c.html#a6faad2fec173b2702fd0f219a83ca320">tanhTable_q15</a> [256]</td></tr>
+<tr class="separator:a6faad2fec173b2702fd0f219a83ca320"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a7cb5ad2fff7e241d09024332488a706e"><td class="memItemLeft" align="right" valign="top">const q15_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nntables_8c.html#a7cb5ad2fff7e241d09024332488a706e">tanhLTable_q15</a> [128]</td></tr>
+<tr class="separator:a7cb5ad2fff7e241d09024332488a706e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a4d093f7b0dc798d4898ff4fd125b21a6"><td class="memItemLeft" align="right" valign="top">const q15_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nntables_8c.html#a4d093f7b0dc798d4898ff4fd125b21a6">tanhHTable_q15</a> [192]</td></tr>
+<tr class="separator:a4d093f7b0dc798d4898ff4fd125b21a6"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<h2 class="groupheader">Variable Documentation</h2>
+<a class="anchor" id="a107a16eaa36f4392fa3ed3792ad6c2cb"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">const q15_t sigmoidHTable_q15[192]</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<p>2-way table, H table for value larger than 1/4 L table for value smaller than 1/4, H table for remaining We have this only for the q15_t version. It does not make sense to have it for q7_t type </p>
+
+</div>
+</div>
+<a class="anchor" id="a69dc528cb377690d5b37accfdfd226b1"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">const q15_t sigmoidLTable_q15[128]</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a class="anchor" id="ab4d7b07c387a3537d4efe21da86115b0"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">const q15_t sigmoidTable_q15[256]</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="group__Acti.html#ga8932b57c8d0ee757511af2d40dcc11e7">arm_nn_activations_direct_q15()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ae2ff3f4e7014f535358167150bdd544f"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">const q7_t sigmoidTable_q7[256]</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<p>This file include the declaration of common tables. Most of them are used for activation functions</p>
+<p>Assumption: Unified table: input is 3.x format, i.e, range of [-8, 8) sigmoid(8) = 0.9996646498695336 tanh(8) = 0.9999997749296758 The accuracy here should be good enough</p>
+<p>2-stage HL table:</p>
+<p>The entire input range is divided into two parts:</p>
+<p>Low range table: 0x000x xxxx or 0x111x xxxx table entry will be the binary number excluding the first two digits, i.e., 0x0x xxxx or 0x1x xxxx</p>
+<p>High range table 0x0010 0000 &ndash; 0x0111 1111 0x1000 0000 &ndash; 0x1101 1111</p>
+<p>For positive numbers, table entry will be 0x0010 0000 &ndash; 0x0111 1111 minus 0x0010 0000 i.e., 0x0000 0000 - 0x0101 11111</p>
+<p>same thing for the negative numbers, table entry will be 0x1000 0000 &ndash; 0x1101 1111 minux 0x0010 0000 i.e., 0x0110 0000 - 0x1011 1111 </p>
+
+<p>Referenced by <a class="el" href="group__Acti.html#ga79f11131ae6767d60e03b1f6506b1af8">arm_nn_activations_direct_q7()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a4d093f7b0dc798d4898ff4fd125b21a6"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">const q15_t tanhHTable_q15[192]</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a class="anchor" id="a7cb5ad2fff7e241d09024332488a706e"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">const q15_t tanhLTable_q15[128]</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a class="anchor" id="a6faad2fec173b2702fd0f219a83ca320"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">const q15_t tanhTable_q15[256]</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="group__Acti.html#ga8932b57c8d0ee757511af2d40dcc11e7">arm_nn_activations_direct_q15()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="a4f854bdf13f630ec21b3ad074491e32f"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">const q7_t tanhTable_q7[256]</td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p>Referenced by <a class="el" href="group__Acti.html#ga79f11131ae6767d60e03b1f6506b1af8">arm_nn_activations_direct_q7()</a>.</p>
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+<div class="contents">
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+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
+Functions</h2></td></tr>
+<tr class="memitem:ga99afcdcc61eaf429ab3ee823702e44ce"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Pooling.html#ga99afcdcc61eaf429ab3ee823702e44ce">arm_maxpool_q7_HWC</a> (q7_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const uint16_t dim_im_out, q7_t *bufferA, q7_t *Im_out)</td></tr>
+<tr class="memdesc:ga99afcdcc61eaf429ab3ee823702e44ce"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 max pooling function. <a href="group__Pooling.html#ga99afcdcc61eaf429ab3ee823702e44ce">More...</a><br/></td></tr>
+<tr class="separator:ga99afcdcc61eaf429ab3ee823702e44ce"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:gae4a7b07f97ec4313524c9fb9fbcb1f6a"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Pooling.html#gae4a7b07f97ec4313524c9fb9fbcb1f6a">arm_avepool_q7_HWC</a> (q7_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const uint16_t dim_im_out, q7_t *bufferA, q7_t *Im_out)</td></tr>
+<tr class="memdesc:gae4a7b07f97ec4313524c9fb9fbcb1f6a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 average pooling function. <a href="group__Pooling.html#gae4a7b07f97ec4313524c9fb9fbcb1f6a">More...</a><br/></td></tr>
+<tr class="separator:gae4a7b07f97ec4313524c9fb9fbcb1f6a"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+ margin: 4px 8px 4px 2px;
+ overflow: auto;
+ word-wrap: break-word;
+ font-size: 9pt;
+ line-height: 125%;
+ font-family: monospace, fixed;
+ font-size: 105%;
+}
+
+div.fragment {
+ padding: 4px;
+ margin: 4px;
+ background-color: #FBFCFD;
+ border: 1px solid #C3CFE6;
+}
+
+div.line {
+ font-family: monospace, fixed;
+ font-size: 13px;
+ line-height: 1.0;
+ text-wrap: unrestricted;
+ white-space: -moz-pre-wrap; /* Moz */
+ white-space: -pre-wrap; /* Opera 4-6 */
+ white-space: -o-pre-wrap; /* Opera 7 */
+ white-space: pre-wrap; /* CSS3 */
+ word-wrap: break-word; /* IE 5.5+ */
+ text-indent: -53px;
+ padding-left: 53px;
+ padding-bottom: 0px;
+ margin: 0px;
+}
+
+span.lineno {
+ padding-right: 4px;
+ text-align: right;
+ border-right: 2px solid #0F0;
+ background-color: #E8E8E8;
+ white-space: pre;
+}
+span.lineno a {
+ background-color: #D8D8D8;
+}
+
+span.lineno a:hover {
+ background-color: #C8C8C8;
+}
+
+div.ah {
+ background-color: black;
+ font-weight: bold;
+ color: #ffffff;
+ margin-bottom: 3px;
+ margin-top: 3px;
+ padding: 0.2em;
+ border: solid thin #333;
+ border-radius: 0.5em;
+ -webkit-border-radius: .5em;
+ -moz-border-radius: .5em;
+ box-shadow: 2px 2px 3px #999;
+ -webkit-box-shadow: 2px 2px 3px #999;
+ -moz-box-shadow: rgba(0, 0, 0, 0.15) 2px 2px 2px;
+ background-image: -webkit-gradient(linear, left top, left bottom, from(#eee), to(#000),color-stop(0.3, #444));
+ background-image: -moz-linear-gradient(center top, #eee 0%, #444 40%, #000);
+}
+
+div.groupHeader {
+ margin-left: 16px;
+ margin-top: 12px;
+ font-weight: bold;
+}
+
+div.groupText {
+ margin-left: 16px;
+ font-style: italic;
+}
+
+body {
+ background-color: white;
+ color: black;
+ margin: 0;
+}
+
+div.contents {
+ margin-top: 10px;
+ margin-left: 12px;
+ margin-right: 8px;
+}
+
+td.indexkey {
+ background-color: #EBEFF6;
+ font-weight: bold;
+ border: 1px solid #C3CFE6;
+ margin: 2px 0px 2px 0;
+ padding: 2px 10px;
+ white-space: nowrap;
+ vertical-align: top;
+}
+
+td.indexvalue {
+ background-color: #EBEFF6;
+ border: 1px solid #C3CFE6;
+ padding: 2px 10px;
+ margin: 2px 0px;
+}
+
+tr.memlist {
+ background-color: #EDF1F7;
+}
+
+p.formulaDsp {
+ text-align: center;
+}
+
+img.formulaDsp {
+
+}
+
+img.formulaInl {
+ vertical-align: middle;
+}
+
+div.center {
+ text-align: center;
+ margin-top: 0px;
+ margin-bottom: 0px;
+ padding: 0px;
+}
+
+div.center img {
+ border: 0px;
+}
+
+address.footer {
+ text-align: right;
+ padding-right: 12px;
+}
+
+img.footer {
+ border: 0px;
+ vertical-align: middle;
+}
+
+/* @group Code Colorization */
+
+span.keyword {
+ color: #008000
+}
+
+span.keywordtype {
+ color: #604020
+}
+
+span.keywordflow {
+ color: #e08000
+}
+
+span.comment {
+ color: #800000
+}
+
+span.preprocessor {
+ color: #806020
+}
+
+span.stringliteral {
+ color: #002080
+}
+
+span.charliteral {
+ color: #008080
+}
+
+span.vhdldigit {
+ color: #ff00ff
+}
+
+span.vhdlchar {
+ color: #000000
+}
+
+span.vhdlkeyword {
+ color: #700070
+}
+
+span.vhdllogic {
+ color: #ff0000
+}
+
+blockquote {
+ background-color: #F7F8FB;
+ border-left: 2px solid #9AAED5;
+ margin: 0 24px 0 4px;
+ padding: 0 12px 0 16px;
+}
+
+/* @end */
+
+/*
+.search {
+ color: #003399;
+ font-weight: bold;
+}
+
+form.search {
+ margin-bottom: 0px;
+ margin-top: 0px;
+}
+
+input.search {
+ font-size: 75%;
+ color: #000080;
+ font-weight: normal;
+ background-color: #e8eef2;
+}
+*/
+
+td.tiny {
+ font-size: 75%;
+}
+
+.dirtab {
+ padding: 4px;
+ border-collapse: collapse;
+ border: 1px solid #A2B4D8;
+}
+
+th.dirtab {
+ background: #EBEFF6;
+ font-weight: bold;
+}
+
+hr {
+ height: 0px;
+ border: none;
+ border-top: 1px solid #4769AD;
+}
+
+hr.footer {
+ height: 1px;
+}
+
+/* @group Member Descriptions */
+
+table.memberdecls {
+ border-spacing: 0px;
+ padding: 0px;
+}
+
+.memberdecls td {
+ -webkit-transition-property: background-color, box-shadow;
+ -webkit-transition-duration: 0.5s;
+ -moz-transition-property: background-color, box-shadow;
+ -moz-transition-duration: 0.5s;
+ -ms-transition-property: background-color, box-shadow;
+ -ms-transition-duration: 0.5s;
+ -o-transition-property: background-color, box-shadow;
+ -o-transition-duration: 0.5s;
+ transition-property: background-color, box-shadow;
+ transition-duration: 0.5s;
+}
+
+.memberdecls td.glow {
+ background-color: cyan;
+ box-shadow: 0 0 15px cyan;
+}
+
+.mdescLeft, .mdescRight,
+.memItemLeft, .memItemRight,
+.memTemplItemLeft, .memTemplItemRight, .memTemplParams {
+ background-color: #F9FAFC;
+ border: none;
+ margin: 4px;
+ padding: 1px 0 0 8px;
+}
+
+.mdescLeft, .mdescRight {
+ padding: 0px 8px 4px 8px;
+ color: #555;
+}
+
+.memItemLeft, .memItemRight, .memTemplParams {
+ border-top: 1px solid #C3CFE6;
+}
+
+.memItemLeft, .memTemplItemLeft {
+ white-space: nowrap;
+}
+
+.memItemRight {
+ width: 100%;
+}
+
+.memTemplParams {
+ color: #4464A5;
+ white-space: nowrap;
+}
+
+/* @end */
+
+/* @group Member Details */
+
+/* Styles for detailed member documentation */
+
+.memtemplate {
+ font-size: 80%;
+ color: #4464A5;
+ font-weight: normal;
+ margin-left: 9px;
+}
+
+.memnav {
+ background-color: #EBEFF6;
+ border: 1px solid #A2B4D8;
+ text-align: center;
+ margin: 2px;
+ margin-right: 15px;
+ padding: 2px;
+}
+
+.mempage {
+ width: 100%;
+}
+
+.memitem {
+ padding: 0;
+ margin-bottom: 10px;
+ margin-right: 5px;
+ -webkit-transition: box-shadow 0.5s linear;
+ -moz-transition: box-shadow 0.5s linear;
+ -ms-transition: box-shadow 0.5s linear;
+ -o-transition: box-shadow 0.5s linear;
+ transition: box-shadow 0.5s linear;
+}
+
+.memitem.glow {
+ box-shadow: 0 0 15px cyan;
+}
+
+.memname {
+ font-weight: bold;
+ margin-left: 6px;
+}
+
+.memname td {
+ vertical-align: bottom;
+}
+
+.memproto, dl.reflist dt {
+ border-top: 1px solid #A7B8DA;
+ border-left: 1px solid #A7B8DA;
+ border-right: 1px solid #A7B8DA;
+ padding: 6px 0px 6px 0px;
+ color: #233456;
+ font-weight: bold;
+ text-shadow: 0px 1px 1px rgba(255, 255, 255, 0.9);
+ background-image:url('nav_f.png');
+ background-repeat:repeat-x;
+ background-color: #E2E7F3;
+ /* opera specific markup */
+ box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
+ border-top-right-radius: 4px;
+ border-top-left-radius: 4px;
+ /* firefox specific markup */
+ -moz-box-shadow: rgba(0, 0, 0, 0.15) 5px 5px 5px;
+ -moz-border-radius-topright: 4px;
+ -moz-border-radius-topleft: 4px;
+ /* webkit specific markup */
+ -webkit-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
+ -webkit-border-top-right-radius: 4px;
+ -webkit-border-top-left-radius: 4px;
+
+}
+
+.memdoc, dl.reflist dd {
+ border-bottom: 1px solid #A7B8DA;
+ border-left: 1px solid #A7B8DA;
+ border-right: 1px solid #A7B8DA;
+ padding: 6px 10px 2px 10px;
+ background-color: #FBFCFD;
+ border-top-width: 0;
+ background-image:url('nav_g.png');
+ background-repeat:repeat-x;
+ background-color: #FFFFFF;
+ /* opera specific markup */
+ border-bottom-left-radius: 4px;
+ border-bottom-right-radius: 4px;
+ box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
+ /* firefox specific markup */
+ -moz-border-radius-bottomleft: 4px;
+ -moz-border-radius-bottomright: 4px;
+ -moz-box-shadow: rgba(0, 0, 0, 0.15) 5px 5px 5px;
+ /* webkit specific markup */
+ -webkit-border-bottom-left-radius: 4px;
+ -webkit-border-bottom-right-radius: 4px;
+ -webkit-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
+}
+
+dl.reflist dt {
+ padding: 5px;
+}
+
+dl.reflist dd {
+ margin: 0px 0px 10px 0px;
+ padding: 5px;
+}
+
+.paramkey {
+ text-align: right;
+}
+
+.paramtype {
+ white-space: nowrap;
+}
+
+.paramname {
+ color: #602020;
+ white-space: nowrap;
+}
+.paramname em {
+ font-style: normal;
+}
+
+.params, .retval, .exception, .tparams {
+ margin-left: 0px;
+ padding-left: 0px;
+}
+
+.params .paramname, .retval .paramname {
+ font-weight: bold;
+ vertical-align: top;
+}
+
+.params .paramtype {
+ font-style: italic;
+ vertical-align: top;
+}
+
+.params .paramdir {
+ font-family: "courier new",courier,monospace;
+ vertical-align: top;
+}
+
+table.mlabels {
+ border-spacing: 0px;
+}
+
+td.mlabels-left {
+ width: 100%;
+ padding: 0px;
+}
+
+td.mlabels-right {
+ vertical-align: bottom;
+ padding: 0px;
+ white-space: nowrap;
+}
+
+span.mlabels {
+ margin-left: 8px;
+}
+
+span.mlabel {
+ background-color: #708CC4;
+ border-top:1px solid #5072B7;
+ border-left:1px solid #5072B7;
+ border-right:1px solid #C3CFE6;
+ border-bottom:1px solid #C3CFE6;
+ text-shadow: none;
+ color: white;
+ margin-right: 4px;
+ padding: 2px 3px;
+ border-radius: 3px;
+ font-size: 7pt;
+ white-space: nowrap;
+}
+
+
+
+/* @end */
+
+/* these are for tree view when not used as main index */
+
+div.directory {
+ margin: 10px 0px;
+ border-top: 1px solid #A8B8D9;
+ border-bottom: 1px solid #A8B8D9;
+ width: 100%;
+}
+
+.directory table {
+ border-collapse:collapse;
+}
+
+.directory td {
+ margin: 0px;
+ padding: 0px;
+ vertical-align: top;
+}
+
+.directory td.entry {
+ white-space: nowrap;
+ padding-right: 6px;
+}
+
+.directory td.entry a {
+ outline:none;
+}
+
+.directory td.desc {
+ width: 100%;
+ padding-left: 6px;
+ padding-right: 6px;
+ border-left: 1px solid rgba(0,0,0,0.05);
+}
+
+.directory tr.even {
+ padding-left: 6px;
+ background-color: #F7F8FB;
+}
+
+.directory img {
+ vertical-align: -30%;
+}
+
+.directory .levels {
+ white-space: nowrap;
+ width: 100%;
+ text-align: right;
+ font-size: 9pt;
+}
+
+.directory .levels span {
+ cursor: pointer;
+ padding-left: 2px;
+ padding-right: 2px;
+ color: #3A568E;
+}
+
+div.dynheader {
+ margin-top: 8px;
+ -webkit-touch-callout: none;
+ -webkit-user-select: none;
+ -khtml-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+address {
+ font-style: normal;
+ color: #293C63;
+}
+
+table.doxtable {
+ border-collapse:collapse;
+ margin-top: 4px;
+ margin-bottom: 4px;
+}
+
+table.doxtable td, table.doxtable th {
+ border: 1px solid #2B4069;
+ padding: 3px 7px 2px;
+}
+
+table.doxtable th {
+ background-color: #EBEFF6;
+ color: #000000;
+ font-size: 110%;
+ padding-bottom: 4px;
+ padding-top: 5px;
+}
+
+table.fieldtable {
+ width: 100%;
+ margin-bottom: 10px;
+ border: 1px solid #A7B8DA;
+ border-spacing: 0px;
+ -moz-border-radius: 4px;
+ -webkit-border-radius: 4px;
+ border-radius: 4px;
+ -moz-box-shadow: rgba(0, 0, 0, 0.15) 2px 2px 2px;
+ -webkit-box-shadow: 2px 2px 2px rgba(0, 0, 0, 0.15);
+ box-shadow: 2px 2px 2px rgba(0, 0, 0, 0.15);
+}
+
+.fieldtable td, .fieldtable th {
+ padding: 3px 7px 2px;
+}
+
+.fieldtable td.fieldtype, .fieldtable td.fieldname {
+ white-space: nowrap;
+ border-right: 1px solid #A7B8DA;
+ border-bottom: 1px solid #A7B8DA;
+ vertical-align: top;
+}
+
+.fieldtable td.fielddoc {
+ border-bottom: 1px solid #A7B8DA;
+ width: 100%;
+}
+
+.fieldtable tr:last-child td {
+ border-bottom: none;
+}
+
+.fieldtable th {
+ background-image:url('nav_f.png');
+ background-repeat:repeat-x;
+ background-color: #E2E7F3;
+ font-size: 90%;
+ color: #233456;
+ padding-bottom: 4px;
+ padding-top: 5px;
+ text-align:left;
+ -moz-border-radius-topleft: 4px;
+ -moz-border-radius-topright: 4px;
+ -webkit-border-top-left-radius: 4px;
+ -webkit-border-top-right-radius: 4px;
+ border-top-left-radius: 4px;
+ border-top-right-radius: 4px;
+ border-bottom: 1px solid #A7B8DA;
+}
+
+
+.tabsearch {
+ top: 0px;
+ left: 10px;
+ height: 36px;
+ background-image: url('tab_b.png');
+ z-index: 101;
+ overflow: hidden;
+ font-size: 13px;
+}
+
+.navpath ul
+{
+ font-size: 11px;
+ background-image:url('tab_b.png');
+ background-repeat:repeat-x;
+ height:30px;
+ line-height:30px;
+ color:#889FCE;
+ border:solid 1px #C1CDE5;
+ overflow:hidden;
+ margin:0px;
+ padding:0px;
+}
+
+.navpath li
+{
+ list-style-type:none;
+ float:left;
+ padding-left:10px;
+ padding-right:15px;
+ background-image:url('bc_s.png');
+ background-repeat:no-repeat;
+ background-position:right;
+ color:#344D7E;
+}
+
+.navpath li.navelem a
+{
+ height:32px;
+ display:block;
+ text-decoration: none;
+ outline: none;
+}
+
+.navpath li.navelem a:hover
+{
+ color:#6583BF;
+}
+
+.navpath li.footer
+{
+ list-style-type:none;
+ float:right;
+ padding-left:10px;
+ padding-right:15px;
+ background-image:none;
+ background-repeat:no-repeat;
+ background-position:right;
+ color:#344D7E;
+ font-size: 8pt;
+}
+
+
+div.summary
+{
+ float: right;
+ font-size: 8pt;
+ padding-right: 5px;
+ width: 50%;
+ text-align: right;
+}
+
+div.summary a
+{
+ white-space: nowrap;
+}
+
+div.ingroups
+{
+ margin-left: 5px;
+ font-size: 8pt;
+ padding-left: 5px;
+ width: 50%;
+ text-align: left;
+}
+
+div.ingroups a
+{
+ white-space: nowrap;
+}
+
+div.header
+{
+ background-image:url('nav_h.png');
+ background-repeat:repeat-x;
+ background-color: #F9FAFC;
+ margin: 0px;
+ border-bottom: 1px solid #C3CFE6;
+}
+
+div.headertitle
+{
+ padding: 5px 5px 5px 7px;
+}
+
+dl
+{
+ padding: 0 0 0 10px;
+}
+
+/* dl.note, dl.warning, dl.attention, dl.pre, dl.post, dl.invariant, dl.deprecated, dl.todo, dl.test, dl.bug */
+dl.section
+{
+ margin-left: 0px;
+ padding-left: 0px;
+}
+
+dl.note
+{
+ margin-left:-7px;
+ padding-left: 3px;
+ border-left:4px solid;
+ border-color: #D0C000;
+}
+
+dl.warning, dl.attention
+{
+ margin-left:-7px;
+ padding-left: 3px;
+ border-left:4px solid;
+ border-color: #FF0000;
+}
+
+dl.pre, dl.post, dl.invariant
+{
+ margin-left:-7px;
+ padding-left: 3px;
+ border-left:4px solid;
+ border-color: #00D000;
+}
+
+dl.deprecated
+{
+ margin-left:-7px;
+ padding-left: 3px;
+ border-left:4px solid;
+ border-color: #505050;
+}
+
+dl.todo
+{
+ margin-left:-7px;
+ padding-left: 3px;
+ border-left:4px solid;
+ border-color: #00C0E0;
+}
+
+dl.test
+{
+ margin-left:-7px;
+ padding-left: 3px;
+ border-left:4px solid;
+ border-color: #3030E0;
+}
+
+dl.bug
+{
+ margin-left:-7px;
+ padding-left: 3px;
+ border-left:4px solid;
+ border-color: #C08050;
+}
+
+dl.section dd {
+ margin-bottom: 6px;
+}
+
+
+#projectlogo
+{
+ text-align: center;
+ vertical-align: bottom;
+ border-collapse: separate;
+}
+
+#projectlogo img
+{
+ border: 0px none;
+}
+
+#projectname
+{
+ font: 300% Tahoma, Arial,sans-serif;
+ margin: 0px;
+ padding: 2px 0px;
+}
+
+#projectbrief
+{
+ font: 120% Tahoma, Arial,sans-serif;
+ margin: 0px;
+ padding: 0px;
+}
+
+#projectnumber
+{
+ font: 50% Tahoma, Arial,sans-serif;
+ margin: 0px;
+ padding: 0px;
+}
+
+#titlearea
+{
+ padding: 0px;
+ margin: 0px;
+ width: 100%;
+ border-bottom: 1px solid #5072B7;
+}
+
+.image
+{
+ text-align: center;
+}
+
+.dotgraph
+{
+ text-align: center;
+}
+
+.mscgraph
+{
+ text-align: center;
+}
+
+.caption
+{
+ font-weight: bold;
+}
+
+div.zoom
+{
+ border: 1px solid #8EA4D0;
+}
+
+dl.citelist {
+ margin-bottom:50px;
+}
+
+dl.citelist dt {
+ color:#314877;
+ float:left;
+ font-weight:bold;
+ margin-right:10px;
+ padding:5px;
+}
+
+dl.citelist dd {
+ margin:2px 0;
+ padding:5px 0;
+}
+
+div.toc {
+ padding: 14px 25px;
+ background-color: #F4F6FA;
+ border: 1px solid #D7DFEE;
+ border-radius: 7px 7px 7px 7px;
+ float: right;
+ height: auto;
+ margin: 0 20px 10px 10px;
+ width: 200px;
+}
+
+div.toc li {
+ background: url("bdwn.png") no-repeat scroll 0 5px transparent;
+ font: 10px/1.2 Verdana,DejaVu Sans,Geneva,sans-serif;
+ margin-top: 5px;
+ padding-left: 10px;
+ padding-top: 2px;
+}
+
+div.toc h3 {
+ font: bold 12px/1.2 Arial,FreeSans,sans-serif;
+ color: #4464A5;
+ border-bottom: 0 none;
+ margin: 0;
+}
+
+div.toc ul {
+ list-style: none outside none;
+ border: medium none;
+ padding: 0px;
+}
+
+div.toc li.level1 {
+ margin-left: 0px;
+}
+
+div.toc li.level2 {
+ margin-left: 15px;
+}
+
+div.toc li.level3 {
+ margin-left: 30px;
+}
+
+div.toc li.level4 {
+ margin-left: 45px;
+}
+
+.inherit_header {
+ font-weight: bold;
+ color: gray;
+ cursor: pointer;
+ -webkit-touch-callout: none;
+ -webkit-user-select: none;
+ -khtml-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.inherit_header td {
+ padding: 6px 0px 2px 5px;
+}
+
+.inherit {
+ display: none;
+}
+
+tr.heading h2 {
+ margin-top: 12px;
+ margin-bottom: 4px;
+}
+
+@media print
+{
+ #top { display: none; }
+ #side-nav { display: none; }
+ #nav-path { display: none; }
+ body { overflow:visible; }
+ h1, h2, h3, h4, h5, h6 { page-break-after: avoid; }
+ .summary { display: none; }
+ .memitem { page-break-inside: avoid; }
+ #doc-content
+ {
+ margin-left:0 !important;
+ height:auto !important;
+ width:auto !important;
+ overflow:inherit;
+ display:inline;
+ }
+}
+
diff --git a/docs/NN/html/dir_06560e3359c5da94845158f0031c08e8.html b/docs/NN/html/dir_06560e3359c5da94845158f0031c08e8.html
new file mode 100644
index 0000000..c96f28d
--- /dev/null
+++ b/docs/NN/html/dir_06560e3359c5da94845158f0031c08e8.html
@@ -0,0 +1,139 @@
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diff --git a/docs/NN/html/doxygen.png b/docs/NN/html/doxygen.png
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diff --git a/docs/NN/html/dynsections.js b/docs/NN/html/dynsections.js
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+ a.attr('src','ftv2mnode.png');
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+ a.attr('src','ftv2pnode.png');
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+ } else {
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+}
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+ var childRows = rows.filter(function() {
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+ return this.id.match(re);
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+ //First row is visible we are HIDING
+ if (childRows.filter(':first').is(':visible')===true) {
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+ var childArr = childImages.filter("[id^=arr]");
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+ childArr.attr('src','ftv2pnode.png'); //children closed
+ childRows.show(); //show all children
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+ updateStripes();
+}
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+
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+ $(img).attr('src',src.substring(0,src.length-8)+'closed.png');
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+ $(img).attr('src',src.substring(0,src.length-10)+'open.png');
+ }
+}
+
diff --git a/docs/NN/html/files.html b/docs/NN/html/files.html
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+++ b/docs/NN/html/files.html
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+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=9"/>
+<title>File List</title>
+<title>CMSIS-NN: File List</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<link href="cmsis.css" rel="stylesheet" type="text/css" />
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="printComponentTabs.js"></script>
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+<script type="text/javascript">
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+<table cellspacing="0" cellpadding="0">
+ <tbody>
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+ <td id="projectlogo"><img alt="Logo" src="CMSIS_Logo_Final.png"/></td>
+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
+ </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<div id="CMSISnav" class="tabs1">
+ <ul class="tablist">
+ <script type="text/javascript">
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+ <div id="navrow1" class="tabs">
+ <ul class="tablist">
+ <li><a href="index.html"><span>Main&#160;Page</span></a></li>
+ <li><a href="pages.html"><span>Usage&#160;and&#160;Description</span></a></li>
+ <li><a href="modules.html"><span>Reference</span></a></li>
+ <li>
+ <div id="MSearchBox" class="MSearchBoxInactive">
+ <span class="left">
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+</div><!-- directory -->
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+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+ <ul>
+ <li class="footer">Generated on Wed Aug 1 2018 17:12:32 for CMSIS-NN by Arm Ltd. All rights reserved.
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+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=9"/>
+<title>Data Fields</title>
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+<link href="tabs.css" rel="stylesheet" type="text/css"/>
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+<script type="text/javascript" src="jquery.js"></script>
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+ <tbody>
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+ <td id="projectlogo"><img alt="Logo" src="CMSIS_Logo_Final.png"/></td>
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+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
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+ <div id="projectbrief">CMSIS NN Software Library</div>
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+
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+ name="MSearchResults" id="MSearchResults">
+</iframe>
+</div>
+
+<div class="contents">
+<div class="textblock">Here is a list of all struct and union fields with links to the structures/unions they belong to:</div><ul>
+<li>bytes
+: <a class="el" href="unionarm__nnword.html#ac7cff6480a8e29d95f29b73cb1267249">arm_nnword</a>
+</li>
+<li>half_words
+: <a class="el" href="unionarm__nnword.html#a9b5e49e4e2c4b7203e07b305386bb2ba">arm_nnword</a>
+</li>
+<li>word
+: <a class="el" href="unionarm__nnword.html#a35c7b2ae25e35e0ddcd9ec0a1a6f8d18">arm_nnword</a>
+</li>
+</ul>
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+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
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+ <!--
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+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6
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+<!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"/>
+<title>Data Fields - Variables</title>
+<title>CMSIS-NN: Data Fields - Variables</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<link href="cmsis.css" rel="stylesheet" type="text/css" />
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="printComponentTabs.js"></script>
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+<script type="text/javascript" src="search/search.js"></script>
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+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr style="height: 46px;">
+ <td id="projectlogo"><img alt="Logo" src="CMSIS_Logo_Final.png"/></td>
+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
+ </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<div id="CMSISnav" class="tabs1">
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+ <li><a href="pages.html"><span>Usage&#160;and&#160;Description</span></a></li>
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+ <ul class="tablist">
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+
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+ name="MSearchResults" id="MSearchResults">
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+&#160;<ul>
+<li>bytes
+: <a class="el" href="unionarm__nnword.html#ac7cff6480a8e29d95f29b73cb1267249">arm_nnword</a>
+</li>
+<li>half_words
+: <a class="el" href="unionarm__nnword.html#a9b5e49e4e2c4b7203e07b305386bb2ba">arm_nnword</a>
+</li>
+<li>word
+: <a class="el" href="unionarm__nnword.html#a35c7b2ae25e35e0ddcd9ec0a1a6f8d18">arm_nnword</a>
+</li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+ <ul>
+ <li class="footer">Generated on Wed Aug 1 2018 17:12:32 for CMSIS-NN by Arm Ltd. All rights reserved.
+ <!--
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+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6
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+ </li>
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diff --git a/docs/NN/html/globals.html b/docs/NN/html/globals.html
new file mode 100644
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--- /dev/null
+++ b/docs/NN/html/globals.html
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+<!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"/>
+<title>Globals</title>
+<title>CMSIS-NN: Globals</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<link href="cmsis.css" rel="stylesheet" type="text/css" />
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="printComponentTabs.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="resize.js"></script>
+<script type="text/javascript" src="navtree.js"></script>
+<script type="text/javascript">
+ $(document).ready(initResizable);
+ $(window).load(resizeHeight);
+</script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/search.js"></script>
+<script type="text/javascript">
+ $(document).ready(function() { searchBox.OnSelectItem(0); });
+</script>
+</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: 46px;">
+ <td id="projectlogo"><img alt="Logo" src="CMSIS_Logo_Final.png"/></td>
+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
+ </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<div id="CMSISnav" class="tabs1">
+ <ul class="tablist">
+ <script type="text/javascript">
+ <!--
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+<script type="text/javascript">
+var searchBox = new SearchBox("searchBox", "search",false,'Search');
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+ <li><a href="index.html"><span>Main&#160;Page</span></a></li>
+ <li><a href="pages.html"><span>Usage&#160;and&#160;Description</span></a></li>
+ <li><a href="modules.html"><span>Reference</span></a></li>
+ <li>
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+ <span class="left">
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+ </div>
+ <div id="navrow3" class="tabs2">
+ <ul class="tablist">
+ <li class="current"><a href="globals.html"><span>All</span></a></li>
+ <li><a href="globals_func.html"><span>Functions</span></a></li>
+ <li><a href="globals_vars.html"><span>Variables</span></a></li>
+ <li><a href="globals_enum.html"><span>Enumerations</span></a></li>
+ <li><a href="globals_eval.html"><span>Enumerator</span></a></li>
+ <li><a href="globals_defs.html"><span>Macros</span></a></li>
+ </ul>
+ </div>
+ <div id="navrow4" class="tabs3">
+ <ul class="tablist">
+ <li><a href="#index_a"><span>a</span></a></li>
+ <li><a href="#index_c"><span>c</span></a></li>
+ <li><a href="#index_d"><span>d</span></a></li>
+ <li><a href="#index_f"><span>f</span></a></li>
+ <li><a href="#index_g"><span>g</span></a></li>
+ <li><a href="#index_h"><span>h</span></a></li>
+ <li><a href="#index_i"><span>i</span></a></li>
+ <li><a href="#index_m"><span>m</span></a></li>
+ <li><a href="#index_n"><span>n</span></a></li>
+ <li><a href="#index_o"><span>o</span></a></li>
+ <li><a href="#index_p"><span>p</span></a></li>
+ <li><a href="#index_q"><span>q</span></a></li>
+ <li><a href="#index_r"><span>r</span></a></li>
+ <li><a href="#index_s"><span>s</span></a></li>
+ <li><a href="#index_t"><span>t</span></a></li>
+ <li class="current"><a href="#index_u"><span>u</span></a></li>
+ </ul>
+ </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('globals.html','');});
+</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)">
+<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark">&#160;</span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark">&#160;</span>Data Structures</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark">&#160;</span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark">&#160;</span>Files</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark">&#160;</span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark">&#160;</span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark">&#160;</span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark">&#160;</span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark">&#160;</span>Macros</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark">&#160;</span>Groups</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark">&#160;</span>Pages</a></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="contents">
+<div class="textblock">Here is a list of all functions, variables, defines, enums, and typedefs with links to the files they belong to:</div>
+
+<h3><a class="anchor" id="index_a"></a>- a -</h3><ul>
+<li>arm_avepool_q7_HWC()
+: <a class="el" href="group__Pooling.html#gae4a7b07f97ec4313524c9fb9fbcb1f6a">arm_nnfunctions.h</a>
+, <a class="el" href="group__Pooling.html#gae4a7b07f97ec4313524c9fb9fbcb1f6a">arm_pool_q7_HWC.c</a>
+</li>
+<li>ARM_SIGMOID
+: <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0a49b307e029715fbaa6f3101c806b8c54">arm_nnsupportfunctions.h</a>
+</li>
+<li>ARM_TANH
+: <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0ac24e4db95c986f16c10dca71a4b4e1c5">arm_nnsupportfunctions.h</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_c"></a>- c -</h3><ul>
+<li>arm_convolve_1x1_HWC_q7_fast_nonsquare()
+: <a class="el" href="group__NNConv.html#ga110adcfdaab356c750c6270aa5e05f29">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#ga110adcfdaab356c750c6270aa5e05f29">arm_convolve_1x1_HWC_q7_fast_nonsquare.c</a>
+</li>
+<li>arm_convolve_HWC_q15_basic()
+: <a class="el" href="group__NNConv.html#ga55701f213b198084b52eab53097f1f58">arm_convolve_HWC_q15_basic.c</a>
+, <a class="el" href="group__NNConv.html#ga55701f213b198084b52eab53097f1f58">arm_nnfunctions.h</a>
+</li>
+<li>arm_convolve_HWC_q15_fast()
+: <a class="el" href="group__NNConv.html#ga4efb1ccbbaa7dd936961989dcb443f50">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#ga4efb1ccbbaa7dd936961989dcb443f50">arm_convolve_HWC_q15_fast.c</a>
+</li>
+<li>arm_convolve_HWC_q15_fast_nonsquare()
+: <a class="el" href="group__NNConv.html#ga614ec3b71eb96e29952ec3f09e7b9c3c">arm_convolve_HWC_q15_fast_nonsquare.c</a>
+, <a class="el" href="group__NNConv.html#ga614ec3b71eb96e29952ec3f09e7b9c3c">arm_nnfunctions.h</a>
+</li>
+<li>arm_convolve_HWC_q7_basic()
+: <a class="el" href="group__NNConv.html#ga210ae8d8fc1d12ee15b41f1fa6947681">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#ga210ae8d8fc1d12ee15b41f1fa6947681">arm_convolve_HWC_q7_basic.c</a>
+</li>
+<li>arm_convolve_HWC_q7_basic_nonsquare()
+: <a class="el" href="group__NNConv.html#ga4501fa22c0836002aa47ccc313dce252">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#ga4501fa22c0836002aa47ccc313dce252">arm_convolve_HWC_q7_basic_nonsquare.c</a>
+</li>
+<li>arm_convolve_HWC_q7_fast()
+: <a class="el" href="group__NNConv.html#gae00d3c1285907d59657369fc98bcc83f">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#gae00d3c1285907d59657369fc98bcc83f">arm_convolve_HWC_q7_fast.c</a>
+</li>
+<li>arm_convolve_HWC_q7_fast_nonsquare()
+: <a class="el" href="group__NNConv.html#gabc6d6b991024e9e5c5cdbd7489de88ef">arm_convolve_HWC_q7_fast_nonsquare.c</a>
+, <a class="el" href="group__NNConv.html#gabc6d6b991024e9e5c5cdbd7489de88ef">arm_nnfunctions.h</a>
+</li>
+<li>arm_convolve_HWC_q7_RGB()
+: <a class="el" href="group__NNConv.html#ga98f2ead67d7cbdf558b0cd8a3b8fc148">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#ga98f2ead67d7cbdf558b0cd8a3b8fc148">arm_convolve_HWC_q7_RGB.c</a>
+</li>
+<li>col_buffer
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a1f988afc6d7fe29ded1eafbf79a70386">arm_nnexamples_cifar10.cpp</a>
+</li>
+<li>CONV1_BIAS
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a4cb0cfbbb61aa122890a656646532eeb">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>conv1_bias
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a2dd28923edd6ae13ec6e61e1d876650c">arm_nnexamples_cifar10.cpp</a>
+</li>
+<li>CONV1_BIAS_LSHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a4150dd1364fd3534561c5c6e530f9bfb">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV1_IM_CH
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#aea8b1c41a63cf63eb6e7f049e84f22f7">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV1_IM_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a23ded220d27415ee1f6d9ac0bfdf38cb">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV1_KER_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#ad51c611a952fac7102ca15a06eabb908">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV1_OUT_CH
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a3c1777ba8f883a5490beb3d79050c8dc">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV1_OUT_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a6262e2cd96ec12681024ab4ac73d607b">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV1_OUT_RSHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#aa8f89682da16a15a092d06097a5696d3">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV1_PADDING
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a2bb0fafdfd2c283df4708ec53f3d90f7">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV1_STRIDE
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a596cdcf742e142edc29a0a0e44496c7c">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>conv1_wt
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a230b7412ffaaa297340ddcb49c828b4b">arm_nnexamples_cifar10.cpp</a>
+</li>
+<li>CONV1_WT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a257ee65177e8e51191b5204f3fda8dca">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV2_BIAS
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#adbdb9a359c8e4104203e3783d8c1adb1">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>conv2_bias
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a686e558e4de77f778c775c9f0c9866d0">arm_nnexamples_cifar10.cpp</a>
+</li>
+<li>CONV2_BIAS_LSHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#afa70cc595390d9205c78a58795f070f4">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV2_IM_CH
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a060a8a5766a5eecaff9294f57301c99c">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV2_IM_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a832f71006d5c1e2bedbbcf192308d40e">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV2_KER_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a95b397cea14323e9037604cfcd245c26">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV2_OUT_CH
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a3be645ea438c983786878c0198ed9ae8">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV2_OUT_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a9953ead804e13dcd90d96dda64a330a4">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV2_OUT_RSHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#ad872d34bfa54d86f9e5177dd2ff40d79">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV2_PADDING
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a39c1c3497169012a512219446613be0c">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV2_STRIDE
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a04f3292f8c8bac6dab973fb74eab2aa1">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>conv2_wt
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a52875a8218c39da056e6d5bfb2030230">arm_nnexamples_cifar10.cpp</a>
+</li>
+<li>CONV2_WT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a9fd43e19e65f000a8b28d9f3505f0f6f">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>conv3_bias
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a70b571cac288e0d371eb9f5e7c3ccbdd">arm_nnexamples_cifar10.cpp</a>
+</li>
+<li>CONV3_BIAS
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a8047897a26edb638e4f8c01734eb969b">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV3_BIAS_LSHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a5457926e12a9e6b0ae9754d509fb7918">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV3_IM_CH
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a1d0f9b2d219527c5070e20c50c0ced41">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV3_IM_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a04ab2b7e8de2668e0087448664814f87">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV3_KER_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a045174d68a25bfd7691303f1a063ac72">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV3_OUT_CH
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a2ab3ad342128296bb1102c3632131fd7">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV3_OUT_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#acf75167523a29737f045cc2280ce0914">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV3_OUT_RSHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#ae38425db927f582d7b5edfcfaa03c676">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV3_PADDING
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#af7824a30efdeefbf468c24a70678131a">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV3_STRIDE
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#af6ff8c82aa2d1f58a125fe71169b7cc1">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>conv3_wt
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a174a146d0ffaa32b073c84d95c489fed">arm_nnexamples_cifar10.cpp</a>
+</li>
+<li>CONV3_WT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#aa3605f1b1fafb1612311727d9b97b0f2">arm_nnexamples_cifar10_weights.h</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_d"></a>- d -</h3><ul>
+<li>arm_depthwise_separable_conv_HWC_q7()
+: <a class="el" href="group__NNConv.html#gad3d21b3bc6dbd6f3b97d01104349cb0a">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#gad3d21b3bc6dbd6f3b97d01104349cb0a">arm_depthwise_separable_conv_HWC_q7.c</a>
+</li>
+<li>arm_depthwise_separable_conv_HWC_q7_nonsquare()
+: <a class="el" href="group__NNConv.html#ga32ac508c5467813a84f74f96655dc697">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#ga32ac508c5467813a84f74f96655dc697">arm_depthwise_separable_conv_HWC_q7_nonsquare.c</a>
+</li>
+<li>DIM_HISTORY
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#ad9fde6ff501c9cd8a6cfc45949464c49">arm_nnexamples_gru.cpp</a>
+</li>
+<li>DIM_INPUT
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#ac8ab7c242bba66633b8c06966da6c9bc">arm_nnexamples_gru.cpp</a>
+</li>
+<li>DIM_VEC
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#a9b4b56c701e4258f8f6c87f225fbcebc">arm_nnexamples_gru.cpp</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_f"></a>- f -</h3><ul>
+<li>arm_fully_connected_mat_q7_vec_q15()
+: <a class="el" href="group__FC.html#ga4a1521e7532a1e62d71f3b12762016e2">arm_nnfunctions.h</a>
+, <a class="el" href="group__FC.html#ga4a1521e7532a1e62d71f3b12762016e2">arm_fully_connected_mat_q7_vec_q15.c</a>
+</li>
+<li>arm_fully_connected_mat_q7_vec_q15_opt()
+: <a class="el" href="group__FC.html#gae3857bb6375692e81dde8cbd70adec08">arm_nnfunctions.h</a>
+, <a class="el" href="group__FC.html#gae3857bb6375692e81dde8cbd70adec08">arm_fully_connected_mat_q7_vec_q15_opt.c</a>
+</li>
+<li>arm_fully_connected_q15()
+: <a class="el" href="group__FC.html#gaac666c212b209e636c2369dd5c75d0dc">arm_nnfunctions.h</a>
+, <a class="el" href="group__FC.html#gaac666c212b209e636c2369dd5c75d0dc">arm_fully_connected_q15.c</a>
+</li>
+<li>arm_fully_connected_q15_opt()
+: <a class="el" href="group__FC.html#ga062912078da113f5dd2004fd919a0ff2">arm_nnfunctions.h</a>
+, <a class="el" href="group__FC.html#ga062912078da113f5dd2004fd919a0ff2">arm_fully_connected_q15_opt.c</a>
+</li>
+<li>arm_fully_connected_q7()
+: <a class="el" href="group__FC.html#ga8b7e0c2e989e8c75f0dc789f3115323d">arm_nnfunctions.h</a>
+, <a class="el" href="group__FC.html#ga8b7e0c2e989e8c75f0dc789f3115323d">arm_fully_connected_q7.c</a>
+</li>
+<li>arm_fully_connected_q7_opt()
+: <a class="el" href="group__FC.html#gaf82b71ef472a38f8fc9ac414d9d07e67">arm_nnfunctions.h</a>
+, <a class="el" href="group__FC.html#gaf82b71ef472a38f8fc9ac414d9d07e67">arm_fully_connected_q7_opt.c</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_g"></a>- g -</h3><ul>
+<li>gru_example()
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#ac71a806472c7c0c284a2253e71a6a27b">arm_nnexamples_gru.cpp</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_h"></a>- h -</h3><ul>
+<li>hidden_state_bias
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#a40dda695923891899cb86b2f01bfd98a">arm_nnexamples_gru.cpp</a>
+</li>
+<li>HIDDEN_STATE_BIAS
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#a73d4e38a4aa9fa9d761d08d33b3a07fd">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>HIDDEN_STATE_WEIGHT_X2
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#a9ab9fa603208647d992b3367a757979b">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>HIDDEN_STATE_WEIGHT_X4
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#a619947523492a72ab306da514e843ae3">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>hidden_state_weights
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#ab18783e8d8449d7222ec4a64dfcc92e6">arm_nnexamples_gru.cpp</a>
+</li>
+<li>HISTORY_DATA
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#a55c93e4e823bca1e77f4487d1ab9c056">arm_nnexamples_gru_test_data.h</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_i"></a>- i -</h3><ul>
+<li>image_data
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#aafa3e1726dde028f2dcce4febc1e9197">arm_nnexamples_cifar10.cpp</a>
+</li>
+<li>IMG_DATA
+: <a class="el" href="arm__nnexamples__cifar10__inputs_8h.html#a82161fe5498521048731fc21a04577c3">arm_nnexamples_cifar10_inputs.h</a>
+</li>
+<li>INPUT_DATA1
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#a1b0f5149443198bdde521a0a06c453c1">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>INPUT_DATA2
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#ae0d8a5f051f29980e62884ec34668026">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>INPUT_MEAN_SHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a476266acb4adb419f566006dce8829c3">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>INPUT_RIGHT_SHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a4205de60010d416664775e3aa0f9ec62">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>ip1_bias
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#af715ce48798db09f3bed1753fed5c5fb">arm_nnexamples_cifar10.cpp</a>
+</li>
+<li>IP1_BIAS
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#ac88810411c45272e8f9144682b9d85bc">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>IP1_BIAS_LSHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a3a98024d4e4c7fa2fbbc216812fb9b35">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>IP1_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a5777b4b3cc406dc06397ba2d5bed9fda">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>IP1_IM_CH
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a3e4df285b7ca272ee897be69575ab6c5">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>IP1_IM_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a4c4ae51cf7195762dd43ea13825277be">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>IP1_OUT
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#aa7cda996b7185414b1af9762e37ac66f">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>IP1_OUT_RSHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a67fad411ab3695e450e62ad0509a7eec">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>ip1_wt
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a244dc5b6679b33a0a85b55adbe969208">arm_nnexamples_cifar10.cpp</a>
+</li>
+<li>IP1_WT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#ad77644a78b16c4bd9f7a12a0406004ed">arm_nnexamples_cifar10_weights.h</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_m"></a>- m -</h3><ul>
+<li>arm_maxpool_q7_HWC()
+: <a class="el" href="group__Pooling.html#ga99afcdcc61eaf429ab3ee823702e44ce">arm_nnfunctions.h</a>
+, <a class="el" href="group__Pooling.html#ga99afcdcc61eaf429ab3ee823702e44ce">arm_pool_q7_HWC.c</a>
+</li>
+<li>main()
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">arm_nnexamples_cifar10.cpp</a>
+, <a class="el" href="arm__nnexamples__gru_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">arm_nnexamples_gru.cpp</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_n"></a>- n -</h3><ul>
+<li>arm_nn_activation_type
+: <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0">arm_nnsupportfunctions.h</a>
+</li>
+<li>arm_nn_activations_direct_q15()
+: <a class="el" href="group__Acti.html#ga8932b57c8d0ee757511af2d40dcc11e7">arm_nnfunctions.h</a>
+, <a class="el" href="group__Acti.html#ga8932b57c8d0ee757511af2d40dcc11e7">arm_nn_activations_q15.c</a>
+</li>
+<li>arm_nn_activations_direct_q7()
+: <a class="el" href="group__Acti.html#ga79f11131ae6767d60e03b1f6506b1af8">arm_nnfunctions.h</a>
+, <a class="el" href="group__Acti.html#ga79f11131ae6767d60e03b1f6506b1af8">arm_nn_activations_q7.c</a>
+</li>
+<li>arm_nn_mat_mult_kernel_q7_q15()
+: <a class="el" href="arm__nnfunctions_8h.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nnfunctions.h</a>
+, <a class="el" href="arm__nn__mat__mult__kernel__q7__q15_8c.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nn_mat_mult_kernel_q7_q15.c</a>
+</li>
+<li>arm_nn_mat_mult_kernel_q7_q15_reordered()
+: <a class="el" href="arm__nnfunctions_8h.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nnfunctions.h</a>
+, <a class="el" href="arm__nn__mat__mult__kernel__q7__q15__reordered_8c.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nn_mat_mult_kernel_q7_q15_reordered.c</a>
+</li>
+<li>arm_nn_mult_q15()
+: <a class="el" href="group__NNBasicMath.html#ga08f8340aa6533271b3aa6d211614fe22">arm_nnsupportfunctions.h</a>
+, <a class="el" href="group__NNBasicMath.html#ga08f8340aa6533271b3aa6d211614fe22">arm_nn_mult_q15.c</a>
+</li>
+<li>arm_nn_mult_q7()
+: <a class="el" href="group__NNBasicMath.html#gad46c9ab012cceda8ce6681c687a58c70">arm_nnsupportfunctions.h</a>
+, <a class="el" href="group__NNBasicMath.html#gad46c9ab012cceda8ce6681c687a58c70">arm_nn_mult_q7.c</a>
+</li>
+<li>NN_ROUND
+: <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">arm_nnsupportfunctions.h</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_o"></a>- o -</h3><ul>
+<li>output_data
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a75c8e3727f7d3637f03ffb1d9f727313">arm_nnexamples_cifar10.cpp</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_p"></a>- p -</h3><ul>
+<li>POOL1_KER_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a5324f2e7e894dd4c9eb2f3b92dd5516c">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL1_OUT_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a13553cac577d5430e3e43508c5ab6b7b">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL1_PADDING
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a537abddfc374d05a2513d1cc74b5721b">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL1_STRIDE
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#acad52b60f0a0457ffb643cef69df0c0c">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL2_KER_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a1b0c6e280d189658130b8b81c6991425">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL2_OUT_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#ada358cd9b0a9b48a2666e9bfcee90aef">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL2_PADDING
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a9508f70a2798099db07a6d9b8f892126">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL2_STRIDE
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a158e111c343e144ec2461ea94ab11ab2">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL3_KER_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a32a30cfd6d89ab4fdbfad9732d71297d">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL3_OUT_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#ae4a4616060ad43b06d5c1aea834a25e5">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL3_PADDING
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#aac063e83339cc89308fb23a6922a5d98">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL3_STRIDE
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a74efaa8ffffc0437b54143878ac8cde7">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_q"></a>- q -</h3><ul>
+<li>arm_q7_to_q15_no_shift()
+: <a class="el" href="group__nndata__convert.html#gae349de4dba8d253c89d45794ccf05680">arm_nnsupportfunctions.h</a>
+, <a class="el" href="group__nndata__convert.html#gae349de4dba8d253c89d45794ccf05680">arm_q7_to_q15_no_shift.c</a>
+</li>
+<li>arm_q7_to_q15_reordered_no_shift()
+: <a class="el" href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">arm_nnsupportfunctions.h</a>
+, <a class="el" href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">arm_q7_to_q15_reordered_no_shift.c</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_r"></a>- r -</h3><ul>
+<li>arm_relu_q15()
+: <a class="el" href="group__Acti.html#ga53bcc00e54b802919bb3c89c143ee5ba">arm_nnfunctions.h</a>
+, <a class="el" href="group__Acti.html#ga53bcc00e54b802919bb3c89c143ee5ba">arm_relu_q15.c</a>
+</li>
+<li>arm_relu_q7()
+: <a class="el" href="group__Acti.html#ga638e803b4fe00426f401783a6255ca30">arm_nnfunctions.h</a>
+, <a class="el" href="group__Acti.html#ga638e803b4fe00426f401783a6255ca30">arm_relu_q7.c</a>
+</li>
+<li>reset_gate_bias
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#a2a9d5c9f16ee778ecc8170d8664722c7">arm_nnexamples_gru.cpp</a>
+</li>
+<li>RESET_GATE_BIAS
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#a8b4b6522d1ab0d6c51a1fe3c51d0020d">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>RESET_GATE_WEIGHT_X2
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#a52f158cb32bf2b46e3d2c4b94876db75">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>RESET_GATE_WEIGHT_X4
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#a177dc986b0c728df8628a205719be0ee">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>reset_gate_weights
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#ac2ae1ff19167c2bb359db2b319ca1060">arm_nnexamples_gru.cpp</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_s"></a>- s -</h3><ul>
+<li>arm_softmax_q15()
+: <a class="el" href="group__Softmax.html#ga1cacd8b84b8363079311987d0016ebe5">arm_nnfunctions.h</a>
+, <a class="el" href="group__Softmax.html#ga1cacd8b84b8363079311987d0016ebe5">arm_softmax_q15.c</a>
+</li>
+<li>arm_softmax_q7()
+: <a class="el" href="group__Softmax.html#ga89aff212a97a3cf32d9d7ddf11a8f43e">arm_softmax_q7.c</a>
+, <a class="el" href="group__Softmax.html#ga89aff212a97a3cf32d9d7ddf11a8f43e">arm_nnfunctions.h</a>
+</li>
+<li>scratch_buffer
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a19548b1fad7cb85d95f5f276873a5de3">arm_nnexamples_cifar10.cpp</a>
+, <a class="el" href="arm__nnexamples__gru_8cpp.html#a935afa741bcc39e4c4c48b019d415d97">arm_nnexamples_gru.cpp</a>
+</li>
+<li>sigmoidHTable_q15
+: <a class="el" href="arm__nn__tables_8h.html#ab5096856d08f98c906b9b02e6c6a8bdf">arm_nn_tables.h</a>
+, <a class="el" href="arm__nntables_8c.html#a107a16eaa36f4392fa3ed3792ad6c2cb">arm_nntables.c</a>
+</li>
+<li>sigmoidLTable_q15
+: <a class="el" href="arm__nn__tables_8h.html#add5ca535701805d3cb61287219975838">arm_nn_tables.h</a>
+, <a class="el" href="arm__nntables_8c.html#a69dc528cb377690d5b37accfdfd226b1">arm_nntables.c</a>
+</li>
+<li>sigmoidTable_q15
+: <a class="el" href="arm__nn__tables_8h.html#ab4d7b07c387a3537d4efe21da86115b0">arm_nn_tables.h</a>
+, <a class="el" href="arm__nntables_8c.html#ab4d7b07c387a3537d4efe21da86115b0">arm_nntables.c</a>
+</li>
+<li>sigmoidTable_q7
+: <a class="el" href="arm__nn__tables_8h.html#ae2ff3f4e7014f535358167150bdd544f">arm_nn_tables.h</a>
+, <a class="el" href="arm__nntables_8c.html#ae2ff3f4e7014f535358167150bdd544f">arm_nntables.c</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_t"></a>- t -</h3><ul>
+<li>tanhHTable_q15
+: <a class="el" href="arm__nntables_8c.html#a4d093f7b0dc798d4898ff4fd125b21a6">arm_nntables.c</a>
+</li>
+<li>tanhLTable_q15
+: <a class="el" href="arm__nntables_8c.html#a7cb5ad2fff7e241d09024332488a706e">arm_nntables.c</a>
+</li>
+<li>tanhTable_q15
+: <a class="el" href="arm__nn__tables_8h.html#a6faad2fec173b2702fd0f219a83ca320">arm_nn_tables.h</a>
+, <a class="el" href="arm__nntables_8c.html#a6faad2fec173b2702fd0f219a83ca320">arm_nntables.c</a>
+</li>
+<li>tanhTable_q7
+: <a class="el" href="arm__nn__tables_8h.html#a4f854bdf13f630ec21b3ad074491e32f">arm_nn_tables.h</a>
+, <a class="el" href="arm__nntables_8c.html#a4f854bdf13f630ec21b3ad074491e32f">arm_nntables.c</a>
+</li>
+<li>test_history
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#ac327d41d23812b53d83c2da91971cbfe">arm_nnexamples_gru.cpp</a>
+</li>
+<li>test_input1
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#a8b0acc149c9bd4aadfb9c1fa8345f57a">arm_nnexamples_gru.cpp</a>
+</li>
+<li>test_input2
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#aad5944359ea4a426550a87efd0d90b02">arm_nnexamples_gru.cpp</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_u"></a>- u -</h3><ul>
+<li>UPDATE_GATE_BIAS
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#a89f5a888f55a353a914ccf6542c41f0b">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>update_gate_bias
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#ac5569d687768d693618f987a91e8aee5">arm_nnexamples_gru.cpp</a>
+</li>
+<li>UPDATE_GATE_WEIGHT_X2
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#ab753489637dfba855233303733416a73">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>UPDATE_GATE_WEIGHT_X4
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#abb89228c76ad50a997938f676153b77f">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>update_gate_weights
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#aa2fc9b2b0449790ed7c37bab7fd3093e">arm_nnexamples_gru.cpp</a>
+</li>
+<li>USE_INTRINSIC
+: <a class="el" href="arm__nnfunctions_8h.html#a710b6e009261290c6151f329cf409530">arm_nnfunctions.h</a>
+</li>
+<li>USE_X4
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#a206812c9f4afd792e23a8d842ffa2984">arm_nnexamples_gru.cpp</a>
+</li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
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+ <li class="footer">Generated on Wed Aug 1 2018 17:12:32 for CMSIS-NN by Arm Ltd. All rights reserved.
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+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6
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+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=9"/>
+<title>Globals</title>
+<title>CMSIS-NN: Globals</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<link href="cmsis.css" rel="stylesheet" type="text/css" />
+<script type="text/javascript" src="jquery.js"></script>
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+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
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+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr style="height: 46px;">
+ <td id="projectlogo"><img alt="Logo" src="CMSIS_Logo_Final.png"/></td>
+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
+ </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
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+ <li><a href="index.html"><span>Main&#160;Page</span></a></li>
+ <li><a href="pages.html"><span>Usage&#160;and&#160;Description</span></a></li>
+ <li><a href="modules.html"><span>Reference</span></a></li>
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+ </div>
+ <div id="navrow3" class="tabs2">
+ <ul class="tablist">
+ <li><a href="globals.html"><span>All</span></a></li>
+ <li><a href="globals_func.html"><span>Functions</span></a></li>
+ <li><a href="globals_vars.html"><span>Variables</span></a></li>
+ <li><a href="globals_enum.html"><span>Enumerations</span></a></li>
+ <li><a href="globals_eval.html"><span>Enumerator</span></a></li>
+ <li class="current"><a href="globals_defs.html"><span>Macros</span></a></li>
+ </ul>
+ </div>
+ <div id="navrow4" class="tabs3">
+ <ul class="tablist">
+ <li><a href="#index_c"><span>c</span></a></li>
+ <li><a href="#index_d"><span>d</span></a></li>
+ <li><a href="#index_h"><span>h</span></a></li>
+ <li><a href="#index_i"><span>i</span></a></li>
+ <li><a href="#index_n"><span>n</span></a></li>
+ <li><a href="#index_p"><span>p</span></a></li>
+ <li><a href="#index_r"><span>r</span></a></li>
+ <li class="current"><a href="#index_u"><span>u</span></a></li>
+ </ul>
+ </div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
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+<div id="doc-content">
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+ onmouseover="return searchBox.OnSearchSelectShow()"
+ onmouseout="return searchBox.OnSearchSelectHide()"
+ onkeydown="return searchBox.OnSearchSelectKey(event)">
+<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark">&#160;</span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark">&#160;</span>Data Structures</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark">&#160;</span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark">&#160;</span>Files</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark">&#160;</span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark">&#160;</span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark">&#160;</span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark">&#160;</span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark">&#160;</span>Macros</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark">&#160;</span>Groups</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark">&#160;</span>Pages</a></div>
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+<iframe src="javascript:void(0)" frameborder="0"
+ name="MSearchResults" id="MSearchResults">
+</iframe>
+</div>
+
+<div class="contents">
+&#160;
+
+<h3><a class="anchor" id="index_c"></a>- c -</h3><ul>
+<li>CONV1_BIAS
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a4cb0cfbbb61aa122890a656646532eeb">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV1_BIAS_LSHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a4150dd1364fd3534561c5c6e530f9bfb">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV1_IM_CH
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#aea8b1c41a63cf63eb6e7f049e84f22f7">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV1_IM_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a23ded220d27415ee1f6d9ac0bfdf38cb">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV1_KER_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#ad51c611a952fac7102ca15a06eabb908">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV1_OUT_CH
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a3c1777ba8f883a5490beb3d79050c8dc">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV1_OUT_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a6262e2cd96ec12681024ab4ac73d607b">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV1_OUT_RSHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#aa8f89682da16a15a092d06097a5696d3">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV1_PADDING
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a2bb0fafdfd2c283df4708ec53f3d90f7">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV1_STRIDE
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a596cdcf742e142edc29a0a0e44496c7c">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV1_WT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a257ee65177e8e51191b5204f3fda8dca">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV2_BIAS
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#adbdb9a359c8e4104203e3783d8c1adb1">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV2_BIAS_LSHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#afa70cc595390d9205c78a58795f070f4">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV2_IM_CH
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a060a8a5766a5eecaff9294f57301c99c">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV2_IM_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a832f71006d5c1e2bedbbcf192308d40e">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV2_KER_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a95b397cea14323e9037604cfcd245c26">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV2_OUT_CH
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a3be645ea438c983786878c0198ed9ae8">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV2_OUT_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a9953ead804e13dcd90d96dda64a330a4">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV2_OUT_RSHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#ad872d34bfa54d86f9e5177dd2ff40d79">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV2_PADDING
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a39c1c3497169012a512219446613be0c">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV2_STRIDE
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a04f3292f8c8bac6dab973fb74eab2aa1">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV2_WT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a9fd43e19e65f000a8b28d9f3505f0f6f">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV3_BIAS
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a8047897a26edb638e4f8c01734eb969b">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV3_BIAS_LSHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a5457926e12a9e6b0ae9754d509fb7918">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV3_IM_CH
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a1d0f9b2d219527c5070e20c50c0ced41">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV3_IM_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a04ab2b7e8de2668e0087448664814f87">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV3_KER_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a045174d68a25bfd7691303f1a063ac72">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV3_OUT_CH
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a2ab3ad342128296bb1102c3632131fd7">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV3_OUT_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#acf75167523a29737f045cc2280ce0914">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV3_OUT_RSHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#ae38425db927f582d7b5edfcfaa03c676">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>CONV3_PADDING
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#af7824a30efdeefbf468c24a70678131a">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV3_STRIDE
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#af6ff8c82aa2d1f58a125fe71169b7cc1">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>CONV3_WT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#aa3605f1b1fafb1612311727d9b97b0f2">arm_nnexamples_cifar10_weights.h</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_d"></a>- d -</h3><ul>
+<li>DIM_HISTORY
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#ad9fde6ff501c9cd8a6cfc45949464c49">arm_nnexamples_gru.cpp</a>
+</li>
+<li>DIM_INPUT
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#ac8ab7c242bba66633b8c06966da6c9bc">arm_nnexamples_gru.cpp</a>
+</li>
+<li>DIM_VEC
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#a9b4b56c701e4258f8f6c87f225fbcebc">arm_nnexamples_gru.cpp</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_h"></a>- h -</h3><ul>
+<li>HIDDEN_STATE_BIAS
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#a73d4e38a4aa9fa9d761d08d33b3a07fd">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>HIDDEN_STATE_WEIGHT_X2
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#a9ab9fa603208647d992b3367a757979b">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>HIDDEN_STATE_WEIGHT_X4
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#a619947523492a72ab306da514e843ae3">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>HISTORY_DATA
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#a55c93e4e823bca1e77f4487d1ab9c056">arm_nnexamples_gru_test_data.h</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_i"></a>- i -</h3><ul>
+<li>IMG_DATA
+: <a class="el" href="arm__nnexamples__cifar10__inputs_8h.html#a82161fe5498521048731fc21a04577c3">arm_nnexamples_cifar10_inputs.h</a>
+</li>
+<li>INPUT_DATA1
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#a1b0f5149443198bdde521a0a06c453c1">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>INPUT_DATA2
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#ae0d8a5f051f29980e62884ec34668026">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>INPUT_MEAN_SHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a476266acb4adb419f566006dce8829c3">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>INPUT_RIGHT_SHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a4205de60010d416664775e3aa0f9ec62">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>IP1_BIAS
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#ac88810411c45272e8f9144682b9d85bc">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>IP1_BIAS_LSHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a3a98024d4e4c7fa2fbbc216812fb9b35">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>IP1_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a5777b4b3cc406dc06397ba2d5bed9fda">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>IP1_IM_CH
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a3e4df285b7ca272ee897be69575ab6c5">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>IP1_IM_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a4c4ae51cf7195762dd43ea13825277be">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>IP1_OUT
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#aa7cda996b7185414b1af9762e37ac66f">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>IP1_OUT_RSHIFT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#a67fad411ab3695e450e62ad0509a7eec">arm_nnexamples_cifar10_weights.h</a>
+</li>
+<li>IP1_WT
+: <a class="el" href="arm__nnexamples__cifar10__weights_8h.html#ad77644a78b16c4bd9f7a12a0406004ed">arm_nnexamples_cifar10_weights.h</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_n"></a>- n -</h3><ul>
+<li>NN_ROUND
+: <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">arm_nnsupportfunctions.h</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_p"></a>- p -</h3><ul>
+<li>POOL1_KER_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a5324f2e7e894dd4c9eb2f3b92dd5516c">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL1_OUT_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a13553cac577d5430e3e43508c5ab6b7b">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL1_PADDING
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a537abddfc374d05a2513d1cc74b5721b">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL1_STRIDE
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#acad52b60f0a0457ffb643cef69df0c0c">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL2_KER_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a1b0c6e280d189658130b8b81c6991425">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL2_OUT_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#ada358cd9b0a9b48a2666e9bfcee90aef">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL2_PADDING
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a9508f70a2798099db07a6d9b8f892126">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL2_STRIDE
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a158e111c343e144ec2461ea94ab11ab2">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL3_KER_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a32a30cfd6d89ab4fdbfad9732d71297d">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL3_OUT_DIM
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#ae4a4616060ad43b06d5c1aea834a25e5">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL3_PADDING
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#aac063e83339cc89308fb23a6922a5d98">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+<li>POOL3_STRIDE
+: <a class="el" href="arm__nnexamples__cifar10__parameter_8h.html#a74efaa8ffffc0437b54143878ac8cde7">arm_nnexamples_cifar10_parameter.h</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_r"></a>- r -</h3><ul>
+<li>RESET_GATE_BIAS
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#a8b4b6522d1ab0d6c51a1fe3c51d0020d">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>RESET_GATE_WEIGHT_X2
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#a52f158cb32bf2b46e3d2c4b94876db75">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>RESET_GATE_WEIGHT_X4
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#a177dc986b0c728df8628a205719be0ee">arm_nnexamples_gru_test_data.h</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_u"></a>- u -</h3><ul>
+<li>UPDATE_GATE_BIAS
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#a89f5a888f55a353a914ccf6542c41f0b">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>UPDATE_GATE_WEIGHT_X2
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#ab753489637dfba855233303733416a73">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>UPDATE_GATE_WEIGHT_X4
+: <a class="el" href="arm__nnexamples__gru__test__data_8h.html#abb89228c76ad50a997938f676153b77f">arm_nnexamples_gru_test_data.h</a>
+</li>
+<li>USE_INTRINSIC
+: <a class="el" href="arm__nnfunctions_8h.html#a710b6e009261290c6151f329cf409530">arm_nnfunctions.h</a>
+</li>
+<li>USE_X4
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#a206812c9f4afd792e23a8d842ffa2984">arm_nnexamples_gru.cpp</a>
+</li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
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+ <!--
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+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6
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+</html>
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+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=9"/>
+<title>Globals</title>
+<title>CMSIS-NN: Globals</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<link href="cmsis.css" rel="stylesheet" type="text/css" />
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="printComponentTabs.js"></script>
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+<script type="text/javascript" src="search/search.js"></script>
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+ $(document).ready(function() { searchBox.OnSelectItem(0); });
+</script>
+</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: 46px;">
+ <td id="projectlogo"><img alt="Logo" src="CMSIS_Logo_Final.png"/></td>
+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
+ </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<div id="CMSISnav" class="tabs1">
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+var searchBox = new SearchBox("searchBox", "search",false,'Search');
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+ <div id="navrow1" class="tabs">
+ <ul class="tablist">
+ <li><a href="index.html"><span>Main&#160;Page</span></a></li>
+ <li><a href="pages.html"><span>Usage&#160;and&#160;Description</span></a></li>
+ <li><a href="modules.html"><span>Reference</span></a></li>
+ <li>
+ <div id="MSearchBox" class="MSearchBoxInactive">
+ <span class="left">
+ <img id="MSearchSelect" src="search/mag_sel.png"
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+ <a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.png" alt=""/></a>
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+ </div>
+ <div id="navrow3" class="tabs2">
+ <ul class="tablist">
+ <li><a href="globals.html"><span>All</span></a></li>
+ <li><a href="globals_func.html"><span>Functions</span></a></li>
+ <li><a href="globals_vars.html"><span>Variables</span></a></li>
+ <li class="current"><a href="globals_enum.html"><span>Enumerations</span></a></li>
+ <li><a href="globals_eval.html"><span>Enumerator</span></a></li>
+ <li><a href="globals_defs.html"><span>Macros</span></a></li>
+ </ul>
+ </div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
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+ name="MSearchResults" id="MSearchResults">
+</iframe>
+</div>
+
+<div class="contents">
+&#160;<ul>
+<li>arm_nn_activation_type
+: <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0">arm_nnsupportfunctions.h</a>
+</li>
+</ul>
+</div><!-- contents -->
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+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=9"/>
+<title>Globals</title>
+<title>CMSIS-NN: Globals</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<link href="cmsis.css" rel="stylesheet" type="text/css" />
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+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
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+ </tbody>
+</table>
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+ <li><a href="pages.html"><span>Usage&#160;and&#160;Description</span></a></li>
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+ <li><a href="globals.html"><span>All</span></a></li>
+ <li><a href="globals_func.html"><span>Functions</span></a></li>
+ <li><a href="globals_vars.html"><span>Variables</span></a></li>
+ <li><a href="globals_enum.html"><span>Enumerations</span></a></li>
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+
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+ name="MSearchResults" id="MSearchResults">
+</iframe>
+</div>
+
+<div class="contents">
+&#160;<ul>
+<li>ARM_SIGMOID
+: <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0a49b307e029715fbaa6f3101c806b8c54">arm_nnsupportfunctions.h</a>
+</li>
+<li>ARM_TANH
+: <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0ac24e4db95c986f16c10dca71a4b4e1c5">arm_nnsupportfunctions.h</a>
+</li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
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+ <li class="footer">Generated on Wed Aug 1 2018 17:12:32 for CMSIS-NN by Arm Ltd. All rights reserved.
+ <!--
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+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6
+ -->
+ </li>
+ </ul>
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+<!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"/>
+<title>Globals</title>
+<title>CMSIS-NN: Globals</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<link href="cmsis.css" rel="stylesheet" type="text/css" />
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
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+</head>
+<body>
+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
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+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr style="height: 46px;">
+ <td id="projectlogo"><img alt="Logo" src="CMSIS_Logo_Final.png"/></td>
+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
+ </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<div id="CMSISnav" class="tabs1">
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+ <li><a href="pages.html"><span>Usage&#160;and&#160;Description</span></a></li>
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+ <li><a href="globals.html"><span>All</span></a></li>
+ <li class="current"><a href="globals_func.html"><span>Functions</span></a></li>
+ <li><a href="globals_vars.html"><span>Variables</span></a></li>
+ <li><a href="globals_enum.html"><span>Enumerations</span></a></li>
+ <li><a href="globals_eval.html"><span>Enumerator</span></a></li>
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+ <div id="navrow4" class="tabs3">
+ <ul class="tablist">
+ <li><a href="#index_a"><span>a</span></a></li>
+ <li><a href="#index_c"><span>c</span></a></li>
+ <li><a href="#index_d"><span>d</span></a></li>
+ <li><a href="#index_f"><span>f</span></a></li>
+ <li><a href="#index_g"><span>g</span></a></li>
+ <li><a href="#index_m"><span>m</span></a></li>
+ <li><a href="#index_n"><span>n</span></a></li>
+ <li><a href="#index_q"><span>q</span></a></li>
+ <li><a href="#index_r"><span>r</span></a></li>
+ <li class="current"><a href="#index_s"><span>s</span></a></li>
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+$(document).ready(function(){initNavTree('globals_func.html','');});
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+<div id="MSearchSelectWindow"
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+ onmouseout="return searchBox.OnSearchSelectHide()"
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+<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark">&#160;</span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark">&#160;</span>Data Structures</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark">&#160;</span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark">&#160;</span>Files</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark">&#160;</span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark">&#160;</span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark">&#160;</span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark">&#160;</span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark">&#160;</span>Macros</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark">&#160;</span>Groups</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark">&#160;</span>Pages</a></div>
+
+<!-- iframe showing the search results (closed by default) -->
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+<iframe src="javascript:void(0)" frameborder="0"
+ name="MSearchResults" id="MSearchResults">
+</iframe>
+</div>
+
+<div class="contents">
+&#160;
+
+<h3><a class="anchor" id="index_a"></a>- a -</h3><ul>
+<li>arm_avepool_q7_HWC()
+: <a class="el" href="group__Pooling.html#gae4a7b07f97ec4313524c9fb9fbcb1f6a">arm_nnfunctions.h</a>
+, <a class="el" href="group__Pooling.html#gae4a7b07f97ec4313524c9fb9fbcb1f6a">arm_pool_q7_HWC.c</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_c"></a>- c -</h3><ul>
+<li>arm_convolve_1x1_HWC_q7_fast_nonsquare()
+: <a class="el" href="group__NNConv.html#ga110adcfdaab356c750c6270aa5e05f29">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#ga110adcfdaab356c750c6270aa5e05f29">arm_convolve_1x1_HWC_q7_fast_nonsquare.c</a>
+</li>
+<li>arm_convolve_HWC_q15_basic()
+: <a class="el" href="group__NNConv.html#ga55701f213b198084b52eab53097f1f58">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#ga55701f213b198084b52eab53097f1f58">arm_convolve_HWC_q15_basic.c</a>
+</li>
+<li>arm_convolve_HWC_q15_fast()
+: <a class="el" href="group__NNConv.html#ga4efb1ccbbaa7dd936961989dcb443f50">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#ga4efb1ccbbaa7dd936961989dcb443f50">arm_convolve_HWC_q15_fast.c</a>
+</li>
+<li>arm_convolve_HWC_q15_fast_nonsquare()
+: <a class="el" href="group__NNConv.html#ga614ec3b71eb96e29952ec3f09e7b9c3c">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#ga614ec3b71eb96e29952ec3f09e7b9c3c">arm_convolve_HWC_q15_fast_nonsquare.c</a>
+</li>
+<li>arm_convolve_HWC_q7_basic()
+: <a class="el" href="group__NNConv.html#ga210ae8d8fc1d12ee15b41f1fa6947681">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#ga210ae8d8fc1d12ee15b41f1fa6947681">arm_convolve_HWC_q7_basic.c</a>
+</li>
+<li>arm_convolve_HWC_q7_basic_nonsquare()
+: <a class="el" href="group__NNConv.html#ga4501fa22c0836002aa47ccc313dce252">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#ga4501fa22c0836002aa47ccc313dce252">arm_convolve_HWC_q7_basic_nonsquare.c</a>
+</li>
+<li>arm_convolve_HWC_q7_fast()
+: <a class="el" href="group__NNConv.html#gae00d3c1285907d59657369fc98bcc83f">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#gae00d3c1285907d59657369fc98bcc83f">arm_convolve_HWC_q7_fast.c</a>
+</li>
+<li>arm_convolve_HWC_q7_fast_nonsquare()
+: <a class="el" href="group__NNConv.html#gabc6d6b991024e9e5c5cdbd7489de88ef">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#gabc6d6b991024e9e5c5cdbd7489de88ef">arm_convolve_HWC_q7_fast_nonsquare.c</a>
+</li>
+<li>arm_convolve_HWC_q7_RGB()
+: <a class="el" href="group__NNConv.html#ga98f2ead67d7cbdf558b0cd8a3b8fc148">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#ga98f2ead67d7cbdf558b0cd8a3b8fc148">arm_convolve_HWC_q7_RGB.c</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_d"></a>- d -</h3><ul>
+<li>arm_depthwise_separable_conv_HWC_q7()
+: <a class="el" href="group__NNConv.html#gad3d21b3bc6dbd6f3b97d01104349cb0a">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#gad3d21b3bc6dbd6f3b97d01104349cb0a">arm_depthwise_separable_conv_HWC_q7.c</a>
+</li>
+<li>arm_depthwise_separable_conv_HWC_q7_nonsquare()
+: <a class="el" href="group__NNConv.html#ga32ac508c5467813a84f74f96655dc697">arm_nnfunctions.h</a>
+, <a class="el" href="group__NNConv.html#ga32ac508c5467813a84f74f96655dc697">arm_depthwise_separable_conv_HWC_q7_nonsquare.c</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_f"></a>- f -</h3><ul>
+<li>arm_fully_connected_mat_q7_vec_q15()
+: <a class="el" href="group__FC.html#ga4a1521e7532a1e62d71f3b12762016e2">arm_nnfunctions.h</a>
+, <a class="el" href="group__FC.html#ga4a1521e7532a1e62d71f3b12762016e2">arm_fully_connected_mat_q7_vec_q15.c</a>
+</li>
+<li>arm_fully_connected_mat_q7_vec_q15_opt()
+: <a class="el" href="group__FC.html#gae3857bb6375692e81dde8cbd70adec08">arm_nnfunctions.h</a>
+, <a class="el" href="group__FC.html#gae3857bb6375692e81dde8cbd70adec08">arm_fully_connected_mat_q7_vec_q15_opt.c</a>
+</li>
+<li>arm_fully_connected_q15()
+: <a class="el" href="group__FC.html#gaac666c212b209e636c2369dd5c75d0dc">arm_nnfunctions.h</a>
+, <a class="el" href="group__FC.html#gaac666c212b209e636c2369dd5c75d0dc">arm_fully_connected_q15.c</a>
+</li>
+<li>arm_fully_connected_q15_opt()
+: <a class="el" href="group__FC.html#ga062912078da113f5dd2004fd919a0ff2">arm_nnfunctions.h</a>
+, <a class="el" href="group__FC.html#ga062912078da113f5dd2004fd919a0ff2">arm_fully_connected_q15_opt.c</a>
+</li>
+<li>arm_fully_connected_q7()
+: <a class="el" href="group__FC.html#ga8b7e0c2e989e8c75f0dc789f3115323d">arm_nnfunctions.h</a>
+, <a class="el" href="group__FC.html#ga8b7e0c2e989e8c75f0dc789f3115323d">arm_fully_connected_q7.c</a>
+</li>
+<li>arm_fully_connected_q7_opt()
+: <a class="el" href="group__FC.html#gaf82b71ef472a38f8fc9ac414d9d07e67">arm_nnfunctions.h</a>
+, <a class="el" href="group__FC.html#gaf82b71ef472a38f8fc9ac414d9d07e67">arm_fully_connected_q7_opt.c</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_g"></a>- g -</h3><ul>
+<li>gru_example()
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#ac71a806472c7c0c284a2253e71a6a27b">arm_nnexamples_gru.cpp</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_m"></a>- m -</h3><ul>
+<li>arm_maxpool_q7_HWC()
+: <a class="el" href="group__Pooling.html#ga99afcdcc61eaf429ab3ee823702e44ce">arm_nnfunctions.h</a>
+, <a class="el" href="group__Pooling.html#ga99afcdcc61eaf429ab3ee823702e44ce">arm_pool_q7_HWC.c</a>
+</li>
+<li>main()
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">arm_nnexamples_cifar10.cpp</a>
+, <a class="el" href="arm__nnexamples__gru_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">arm_nnexamples_gru.cpp</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_n"></a>- n -</h3><ul>
+<li>arm_nn_activations_direct_q15()
+: <a class="el" href="group__Acti.html#ga8932b57c8d0ee757511af2d40dcc11e7">arm_nnfunctions.h</a>
+, <a class="el" href="group__Acti.html#ga8932b57c8d0ee757511af2d40dcc11e7">arm_nn_activations_q15.c</a>
+</li>
+<li>arm_nn_activations_direct_q7()
+: <a class="el" href="group__Acti.html#ga79f11131ae6767d60e03b1f6506b1af8">arm_nnfunctions.h</a>
+, <a class="el" href="group__Acti.html#ga79f11131ae6767d60e03b1f6506b1af8">arm_nn_activations_q7.c</a>
+</li>
+<li>arm_nn_mat_mult_kernel_q7_q15()
+: <a class="el" href="arm__nnfunctions_8h.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nnfunctions.h</a>
+, <a class="el" href="arm__nn__mat__mult__kernel__q7__q15_8c.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nn_mat_mult_kernel_q7_q15.c</a>
+</li>
+<li>arm_nn_mat_mult_kernel_q7_q15_reordered()
+: <a class="el" href="arm__nnfunctions_8h.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nnfunctions.h</a>
+, <a class="el" href="arm__nn__mat__mult__kernel__q7__q15__reordered_8c.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nn_mat_mult_kernel_q7_q15_reordered.c</a>
+</li>
+<li>arm_nn_mult_q15()
+: <a class="el" href="group__NNBasicMath.html#ga08f8340aa6533271b3aa6d211614fe22">arm_nnsupportfunctions.h</a>
+, <a class="el" href="group__NNBasicMath.html#ga08f8340aa6533271b3aa6d211614fe22">arm_nn_mult_q15.c</a>
+</li>
+<li>arm_nn_mult_q7()
+: <a class="el" href="group__NNBasicMath.html#gad46c9ab012cceda8ce6681c687a58c70">arm_nnsupportfunctions.h</a>
+, <a class="el" href="group__NNBasicMath.html#gad46c9ab012cceda8ce6681c687a58c70">arm_nn_mult_q7.c</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_q"></a>- q -</h3><ul>
+<li>arm_q7_to_q15_no_shift()
+: <a class="el" href="group__nndata__convert.html#gae349de4dba8d253c89d45794ccf05680">arm_nnsupportfunctions.h</a>
+, <a class="el" href="group__nndata__convert.html#gae349de4dba8d253c89d45794ccf05680">arm_q7_to_q15_no_shift.c</a>
+</li>
+<li>arm_q7_to_q15_reordered_no_shift()
+: <a class="el" href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">arm_nnsupportfunctions.h</a>
+, <a class="el" href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">arm_q7_to_q15_reordered_no_shift.c</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_r"></a>- r -</h3><ul>
+<li>arm_relu_q15()
+: <a class="el" href="group__Acti.html#ga53bcc00e54b802919bb3c89c143ee5ba">arm_nnfunctions.h</a>
+, <a class="el" href="group__Acti.html#ga53bcc00e54b802919bb3c89c143ee5ba">arm_relu_q15.c</a>
+</li>
+<li>arm_relu_q7()
+: <a class="el" href="group__Acti.html#ga638e803b4fe00426f401783a6255ca30">arm_nnfunctions.h</a>
+, <a class="el" href="group__Acti.html#ga638e803b4fe00426f401783a6255ca30">arm_relu_q7.c</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_s"></a>- s -</h3><ul>
+<li>arm_softmax_q15()
+: <a class="el" href="group__Softmax.html#ga1cacd8b84b8363079311987d0016ebe5">arm_nnfunctions.h</a>
+, <a class="el" href="group__Softmax.html#ga1cacd8b84b8363079311987d0016ebe5">arm_softmax_q15.c</a>
+</li>
+<li>arm_softmax_q7()
+: <a class="el" href="group__Softmax.html#ga89aff212a97a3cf32d9d7ddf11a8f43e">arm_nnfunctions.h</a>
+, <a class="el" href="group__Softmax.html#ga89aff212a97a3cf32d9d7ddf11a8f43e">arm_softmax_q7.c</a>
+</li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
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+ <li class="footer">Generated on Wed Aug 1 2018 17:12:32 for CMSIS-NN by Arm Ltd. All rights reserved.
+ <!--
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+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6
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+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=9"/>
+<title>Globals</title>
+<title>CMSIS-NN: Globals</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<link href="cmsis.css" rel="stylesheet" type="text/css" />
+<script type="text/javascript" src="jquery.js"></script>
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+ $(document).ready(function() { searchBox.OnSelectItem(0); });
+</script>
+</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: 46px;">
+ <td id="projectlogo"><img alt="Logo" src="CMSIS_Logo_Final.png"/></td>
+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
+ </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
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+var searchBox = new SearchBox("searchBox", "search",false,'Search');
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+ <div id="navrow1" class="tabs">
+ <ul class="tablist">
+ <li><a href="index.html"><span>Main&#160;Page</span></a></li>
+ <li><a href="pages.html"><span>Usage&#160;and&#160;Description</span></a></li>
+ <li><a href="modules.html"><span>Reference</span></a></li>
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+ onfocus="searchBox.OnSearchFieldFocus(true)"
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+ <a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.png" alt=""/></a>
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+ </div>
+ <div id="navrow3" class="tabs2">
+ <ul class="tablist">
+ <li><a href="globals.html"><span>All</span></a></li>
+ <li><a href="globals_func.html"><span>Functions</span></a></li>
+ <li class="current"><a href="globals_vars.html"><span>Variables</span></a></li>
+ <li><a href="globals_enum.html"><span>Enumerations</span></a></li>
+ <li><a href="globals_eval.html"><span>Enumerator</span></a></li>
+ <li><a href="globals_defs.html"><span>Macros</span></a></li>
+ </ul>
+ </div>
+ <div id="navrow4" class="tabs3">
+ <ul class="tablist">
+ <li><a href="#index_c"><span>c</span></a></li>
+ <li><a href="#index_h"><span>h</span></a></li>
+ <li><a href="#index_i"><span>i</span></a></li>
+ <li><a href="#index_o"><span>o</span></a></li>
+ <li><a href="#index_r"><span>r</span></a></li>
+ <li><a href="#index_s"><span>s</span></a></li>
+ <li><a href="#index_t"><span>t</span></a></li>
+ <li class="current"><a href="#index_u"><span>u</span></a></li>
+ </ul>
+ </div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
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+$(document).ready(function(){initNavTree('globals_vars.html','');});
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+ onmouseover="return searchBox.OnSearchSelectShow()"
+ onmouseout="return searchBox.OnSearchSelectHide()"
+ onkeydown="return searchBox.OnSearchSelectKey(event)">
+<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark">&#160;</span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark">&#160;</span>Data Structures</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark">&#160;</span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark">&#160;</span>Files</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark">&#160;</span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark">&#160;</span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark">&#160;</span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark">&#160;</span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark">&#160;</span>Macros</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark">&#160;</span>Groups</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark">&#160;</span>Pages</a></div>
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+<iframe src="javascript:void(0)" frameborder="0"
+ name="MSearchResults" id="MSearchResults">
+</iframe>
+</div>
+
+<div class="contents">
+&#160;
+
+<h3><a class="anchor" id="index_c"></a>- c -</h3><ul>
+<li>col_buffer
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a1f988afc6d7fe29ded1eafbf79a70386">arm_nnexamples_cifar10.cpp</a>
+</li>
+<li>conv1_bias
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a2dd28923edd6ae13ec6e61e1d876650c">arm_nnexamples_cifar10.cpp</a>
+</li>
+<li>conv1_wt
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a230b7412ffaaa297340ddcb49c828b4b">arm_nnexamples_cifar10.cpp</a>
+</li>
+<li>conv2_bias
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a686e558e4de77f778c775c9f0c9866d0">arm_nnexamples_cifar10.cpp</a>
+</li>
+<li>conv2_wt
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a52875a8218c39da056e6d5bfb2030230">arm_nnexamples_cifar10.cpp</a>
+</li>
+<li>conv3_bias
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a70b571cac288e0d371eb9f5e7c3ccbdd">arm_nnexamples_cifar10.cpp</a>
+</li>
+<li>conv3_wt
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a174a146d0ffaa32b073c84d95c489fed">arm_nnexamples_cifar10.cpp</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_h"></a>- h -</h3><ul>
+<li>hidden_state_bias
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#a40dda695923891899cb86b2f01bfd98a">arm_nnexamples_gru.cpp</a>
+</li>
+<li>hidden_state_weights
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#ab18783e8d8449d7222ec4a64dfcc92e6">arm_nnexamples_gru.cpp</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_i"></a>- i -</h3><ul>
+<li>image_data
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#aafa3e1726dde028f2dcce4febc1e9197">arm_nnexamples_cifar10.cpp</a>
+</li>
+<li>ip1_bias
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#af715ce48798db09f3bed1753fed5c5fb">arm_nnexamples_cifar10.cpp</a>
+</li>
+<li>ip1_wt
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a244dc5b6679b33a0a85b55adbe969208">arm_nnexamples_cifar10.cpp</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_o"></a>- o -</h3><ul>
+<li>output_data
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a75c8e3727f7d3637f03ffb1d9f727313">arm_nnexamples_cifar10.cpp</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_r"></a>- r -</h3><ul>
+<li>reset_gate_bias
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#a2a9d5c9f16ee778ecc8170d8664722c7">arm_nnexamples_gru.cpp</a>
+</li>
+<li>reset_gate_weights
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#ac2ae1ff19167c2bb359db2b319ca1060">arm_nnexamples_gru.cpp</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_s"></a>- s -</h3><ul>
+<li>scratch_buffer
+: <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a19548b1fad7cb85d95f5f276873a5de3">arm_nnexamples_cifar10.cpp</a>
+, <a class="el" href="arm__nnexamples__gru_8cpp.html#a935afa741bcc39e4c4c48b019d415d97">arm_nnexamples_gru.cpp</a>
+</li>
+<li>sigmoidHTable_q15
+: <a class="el" href="arm__nn__tables_8h.html#ab5096856d08f98c906b9b02e6c6a8bdf">arm_nn_tables.h</a>
+, <a class="el" href="arm__nntables_8c.html#a107a16eaa36f4392fa3ed3792ad6c2cb">arm_nntables.c</a>
+</li>
+<li>sigmoidLTable_q15
+: <a class="el" href="arm__nn__tables_8h.html#add5ca535701805d3cb61287219975838">arm_nn_tables.h</a>
+, <a class="el" href="arm__nntables_8c.html#a69dc528cb377690d5b37accfdfd226b1">arm_nntables.c</a>
+</li>
+<li>sigmoidTable_q15
+: <a class="el" href="arm__nn__tables_8h.html#ab4d7b07c387a3537d4efe21da86115b0">arm_nn_tables.h</a>
+, <a class="el" href="arm__nntables_8c.html#ab4d7b07c387a3537d4efe21da86115b0">arm_nntables.c</a>
+</li>
+<li>sigmoidTable_q7
+: <a class="el" href="arm__nn__tables_8h.html#ae2ff3f4e7014f535358167150bdd544f">arm_nn_tables.h</a>
+, <a class="el" href="arm__nntables_8c.html#ae2ff3f4e7014f535358167150bdd544f">arm_nntables.c</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_t"></a>- t -</h3><ul>
+<li>tanhHTable_q15
+: <a class="el" href="arm__nntables_8c.html#a4d093f7b0dc798d4898ff4fd125b21a6">arm_nntables.c</a>
+</li>
+<li>tanhLTable_q15
+: <a class="el" href="arm__nntables_8c.html#a7cb5ad2fff7e241d09024332488a706e">arm_nntables.c</a>
+</li>
+<li>tanhTable_q15
+: <a class="el" href="arm__nn__tables_8h.html#a6faad2fec173b2702fd0f219a83ca320">arm_nn_tables.h</a>
+, <a class="el" href="arm__nntables_8c.html#a6faad2fec173b2702fd0f219a83ca320">arm_nntables.c</a>
+</li>
+<li>tanhTable_q7
+: <a class="el" href="arm__nn__tables_8h.html#a4f854bdf13f630ec21b3ad074491e32f">arm_nn_tables.h</a>
+, <a class="el" href="arm__nntables_8c.html#a4f854bdf13f630ec21b3ad074491e32f">arm_nntables.c</a>
+</li>
+<li>test_history
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#ac327d41d23812b53d83c2da91971cbfe">arm_nnexamples_gru.cpp</a>
+</li>
+<li>test_input1
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#a8b0acc149c9bd4aadfb9c1fa8345f57a">arm_nnexamples_gru.cpp</a>
+</li>
+<li>test_input2
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#aad5944359ea4a426550a87efd0d90b02">arm_nnexamples_gru.cpp</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_u"></a>- u -</h3><ul>
+<li>update_gate_bias
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#ac5569d687768d693618f987a91e8aee5">arm_nnexamples_gru.cpp</a>
+</li>
+<li>update_gate_weights
+: <a class="el" href="arm__nnexamples__gru_8cpp.html#aa2fc9b2b0449790ed7c37bab7fd3093e">arm_nnexamples_gru.cpp</a>
+</li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+ <ul>
+ <li class="footer">Generated on Wed Aug 1 2018 17:12:32 for CMSIS-NN by Arm Ltd. All rights reserved.
+ <!--
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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+<title>CMSIS-NN: Neural Network Activation Functions</title>
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+ <td id="projectlogo"><img alt="Logo" src="CMSIS_Logo_Final.png"/></td>
+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
+ </td>
+ </tr>
+ </tbody>
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+<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark">&#160;</span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark">&#160;</span>Data Structures</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark">&#160;</span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark">&#160;</span>Files</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark">&#160;</span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark">&#160;</span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark">&#160;</span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark">&#160;</span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark">&#160;</span>Macros</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark">&#160;</span>Groups</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark">&#160;</span>Pages</a></div>
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+<a href="#func-members">Functions</a> </div>
+ <div class="headertitle">
+<div class="title">Neural Network Activation Functions<div class="ingroups"><a class="el" href="group__groupNN.html">Neural Network Functions</a></div></div> </div>
+</div><!--header-->
+<div class="contents">
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
+Functions</h2></td></tr>
+<tr class="memitem:ga8932b57c8d0ee757511af2d40dcc11e7"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Acti.html#ga8932b57c8d0ee757511af2d40dcc11e7">arm_nn_activations_direct_q15</a> (q15_t *data, uint16_t size, uint16_t int_width, <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0">arm_nn_activation_type</a> type)</td></tr>
+<tr class="memdesc:ga8932b57c8d0ee757511af2d40dcc11e7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q15 neural network activation function using direct table look-up. <a href="#ga8932b57c8d0ee757511af2d40dcc11e7">More...</a><br/></td></tr>
+<tr class="separator:ga8932b57c8d0ee757511af2d40dcc11e7"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga79f11131ae6767d60e03b1f6506b1af8"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Acti.html#ga79f11131ae6767d60e03b1f6506b1af8">arm_nn_activations_direct_q7</a> (q7_t *data, uint16_t size, uint16_t int_width, <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0">arm_nn_activation_type</a> type)</td></tr>
+<tr class="memdesc:ga79f11131ae6767d60e03b1f6506b1af8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 neural network activation function using direct table look-up. <a href="#ga79f11131ae6767d60e03b1f6506b1af8">More...</a><br/></td></tr>
+<tr class="separator:ga79f11131ae6767d60e03b1f6506b1af8"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga53bcc00e54b802919bb3c89c143ee5ba"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Acti.html#ga53bcc00e54b802919bb3c89c143ee5ba">arm_relu_q15</a> (q15_t *data, uint16_t size)</td></tr>
+<tr class="memdesc:ga53bcc00e54b802919bb3c89c143ee5ba"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q15 RELU function. <a href="#ga53bcc00e54b802919bb3c89c143ee5ba">More...</a><br/></td></tr>
+<tr class="separator:ga53bcc00e54b802919bb3c89c143ee5ba"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga638e803b4fe00426f401783a6255ca30"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Acti.html#ga638e803b4fe00426f401783a6255ca30">arm_relu_q7</a> (q7_t *data, uint16_t size)</td></tr>
+<tr class="memdesc:ga638e803b4fe00426f401783a6255ca30"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 RELU function. <a href="#ga638e803b4fe00426f401783a6255ca30">More...</a><br/></td></tr>
+<tr class="separator:ga638e803b4fe00426f401783a6255ca30"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Description</h2>
+<p>Perform activation layers, including ReLU (Rectified Linear Unit), sigmoid and tanh </p>
+<h2 class="groupheader">Function Documentation</h2>
+<a class="anchor" id="ga8932b57c8d0ee757511af2d40dcc11e7"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void arm_nn_activations_direct_q15 </td>
+ <td>(</td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>data</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint16_t&#160;</td>
+ <td class="paramname"><em>size</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint16_t&#160;</td>
+ <td class="paramname"><em>int_width</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype"><a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0">arm_nn_activation_type</a>&#160;</td>
+ <td class="paramname"><em>type</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">data</td><td>pointer to input </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">size</td><td>number of elements </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">int_width</td><td>bit-width of the integer part, assume to be smaller than 3 </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">type</td><td>type of activation functions </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>none.</dd></dl>
+<p>This is the direct table look-up approach.</p>
+<p>Assume here the integer part of the fixed-point is &lt;= 3. More than 3 just not making much sense, makes no difference with saturation followed by any of these activation functions. </p>
+
+<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0a49b307e029715fbaa6f3101c806b8c54">ARM_SIGMOID</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0ac24e4db95c986f16c10dca71a4b4e1c5">ARM_TANH</a>, <a class="el" href="arm__nn__tables_8h.html#ab4d7b07c387a3537d4efe21da86115b0">sigmoidTable_q15</a>, and <a class="el" href="arm__nn__tables_8h.html#a6faad2fec173b2702fd0f219a83ca320">tanhTable_q15</a>.</p>
+
+<p>Referenced by <a class="el" href="arm__nnexamples__gru_8cpp.html#ac71a806472c7c0c284a2253e71a6a27b">gru_example()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ga79f11131ae6767d60e03b1f6506b1af8"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void arm_nn_activations_direct_q7 </td>
+ <td>(</td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>data</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint16_t&#160;</td>
+ <td class="paramname"><em>size</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint16_t&#160;</td>
+ <td class="paramname"><em>int_width</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype"><a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0">arm_nn_activation_type</a>&#160;</td>
+ <td class="paramname"><em>type</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">data</td><td>pointer to input </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">size</td><td>number of elements </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">int_width</td><td>bit-width of the integer part, assume to be smaller than 3 </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">type</td><td>type of activation functions </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>none.</dd></dl>
+<p>This is the direct table look-up approach.</p>
+<p>Assume here the integer part of the fixed-point is &lt;= 3. More than 3 just not making much sense, makes no difference with saturation followed by any of these activation functions. </p>
+
+<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0a49b307e029715fbaa6f3101c806b8c54">ARM_SIGMOID</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0ac24e4db95c986f16c10dca71a4b4e1c5">ARM_TANH</a>, <a class="el" href="arm__nn__tables_8h.html#ae2ff3f4e7014f535358167150bdd544f">sigmoidTable_q7</a>, and <a class="el" href="arm__nn__tables_8h.html#a4f854bdf13f630ec21b3ad074491e32f">tanhTable_q7</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ga53bcc00e54b802919bb3c89c143ee5ba"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void arm_relu_q15 </td>
+ <td>(</td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>data</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint16_t&#160;</td>
+ <td class="paramname"><em>size</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">data</td><td>pointer to input </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">size</td><td>number of elements </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>none.</dd></dl>
+<p>Optimized relu with QSUB instructions. </p>
+
+</div>
+</div>
+<a class="anchor" id="ga638e803b4fe00426f401783a6255ca30"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void arm_relu_q7 </td>
+ <td>(</td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>data</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint16_t&#160;</td>
+ <td class="paramname"><em>size</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">data</td><td>pointer to input </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">size</td><td>number of elements </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>none.</dd></dl>
+<p>Optimized relu with QSUB instructions. </p>
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</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="footer">Generated on Wed Aug 1 2018 17:12:32 for CMSIS-NN by Arm Ltd. All rights reserved.
+ <!--
+ <a href="http://www.doxygen.org/index.html">
+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6
+ -->
+ </li>
+ </ul>
+</div>
+</body>
+</html>
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+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
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+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
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+<title>Convolutional Neural Network Example</title>
+<title>CMSIS-NN: Convolutional Neural Network Example</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
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+ <td id="projectlogo"><img alt="Logo" src="CMSIS_Logo_Final.png"/></td>
+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
+ </td>
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+ </tbody>
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+ <div class="headertitle">
+<div class="title">Convolutional Neural Network Example</div> </div>
+</div><!--header-->
+<div class="contents">
+<dl class="section user"><dt>Description:</dt><dd></dd></dl>
+<dl class="section user"><dt></dt><dd>Demonstrates a convolutional neural network (CNN) example with the use of convolution, ReLU activation, pooling and fully-connected functions.</dd></dl>
+<dl class="section user"><dt>Model definition:</dt><dd></dd></dl>
+<dl class="section user"><dt></dt><dd>The CNN used in this example is based on CIFAR-10 example from Caffe [1]. The neural network consists of 3 convolution layers interspersed by ReLU activation and max pooling layers, followed by a fully-connected layer at the end. The input to the network is a 32x32 pixel color image, which will be classified into one of the 10 output classes. This example model implementation needs 32.3 KB to store weights, 40 KB for activations and 3.1 KB for storing the <code>im2col</code> data.</dd></dl>
+<div class="image">
+<img src="CIFAR10_CNN.gif" alt="CIFAR10_CNN.gif"/>
+<div class="caption">
+Neural Network model definition</div></div>
+ <dl class="section user"><dt>Variables Description:</dt><dd></dd></dl>
+<dl class="section user"><dt></dt><dd><ul>
+<li><code>conv1_wt</code>, <code>conv2_wt</code>, <code>conv3_wt</code> are convolution layer weight matrices </li>
+<li><code>conv1_bias</code>, <code>conv2_bias</code>, <code>conv3_bias</code> are convolution layer bias arrays </li>
+<li><code>ip1_wt</code>, ip1_bias point to fully-connected layer weights and biases </li>
+<li><code>input_data</code> points to the input image data </li>
+<li><code>output_data</code> points to the classification output </li>
+<li><code>col_buffer</code> is a buffer to store the <code>im2col</code> output </li>
+<li><code>scratch_buffer</code> is used to store the activation data (intermediate layer outputs)</li>
+</ul>
+</dd></dl>
+<dl class="section user"><dt>CMSIS DSP Software Library Functions Used:</dt><dd></dd></dl>
+<dl class="section user"><dt></dt><dd><ul>
+<li><a class="el" href="group__NNConv.html#ga98f2ead67d7cbdf558b0cd8a3b8fc148" title="Q7 version of convolution for RGB image. ">arm_convolve_HWC_q7_RGB()</a></li>
+<li><a class="el" href="group__NNConv.html#gae00d3c1285907d59657369fc98bcc83f" title="Fast Q7 convolution function. ">arm_convolve_HWC_q7_fast()</a></li>
+<li><a class="el" href="group__Acti.html#ga638e803b4fe00426f401783a6255ca30" title="Q7 RELU function. ">arm_relu_q7()</a></li>
+<li><a class="el" href="group__Pooling.html#ga99afcdcc61eaf429ab3ee823702e44ce" title="Q7 max pooling function. ">arm_maxpool_q7_HWC()</a></li>
+<li><a class="el" href="group__Pooling.html#gae4a7b07f97ec4313524c9fb9fbcb1f6a" title="Q7 average pooling function. ">arm_avepool_q7_HWC()</a></li>
+<li><a class="el" href="group__FC.html#gaf82b71ef472a38f8fc9ac414d9d07e67" title="Q7 opt fully-connected layer function. ">arm_fully_connected_q7_opt()</a></li>
+<li><a class="el" href="group__FC.html#ga8b7e0c2e989e8c75f0dc789f3115323d" title="Q7 basic fully-connected layer function. ">arm_fully_connected_q7()</a></li>
+</ul>
+</dd></dl>
+<p><b> Refer </b> <a class="el" href="arm__nnexamples__cifar10_8cpp.html">arm_nnexamples_cifar10.cpp</a></p>
+<dl class="section user"><dt>[1] https://github.com/BVLC/caffe</dt><dd></dd></dl>
+</div><!-- contents -->
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+<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark">&#160;</span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark">&#160;</span>Data Structures</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark">&#160;</span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark">&#160;</span>Files</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark">&#160;</span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark">&#160;</span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark">&#160;</span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark">&#160;</span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark">&#160;</span>Macros</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark">&#160;</span>Groups</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark">&#160;</span>Pages</a></div>
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+<a href="#func-members">Functions</a> </div>
+ <div class="headertitle">
+<div class="title">Fully-connected Layer Functions<div class="ingroups"><a class="el" href="group__groupNN.html">Neural Network Functions</a></div></div> </div>
+</div><!--header-->
+<div class="contents">
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
+Functions</h2></td></tr>
+<tr class="memitem:ga4a1521e7532a1e62d71f3b12762016e2"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__FC.html#ga4a1521e7532a1e62d71f3b12762016e2">arm_fully_connected_mat_q7_vec_q15</a> (const q15_t *pV, const q7_t *pM, const uint16_t dim_vec, const uint16_t num_of_rows, const uint16_t bias_shift, const uint16_t out_shift, const q7_t *bias, q15_t *pOut, q15_t *vec_buffer)</td></tr>
+<tr class="memdesc:ga4a1521e7532a1e62d71f3b12762016e2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Mixed Q15-Q7 fully-connected layer function. <a href="#ga4a1521e7532a1e62d71f3b12762016e2">More...</a><br/></td></tr>
+<tr class="separator:ga4a1521e7532a1e62d71f3b12762016e2"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:gae3857bb6375692e81dde8cbd70adec08"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__FC.html#gae3857bb6375692e81dde8cbd70adec08">arm_fully_connected_mat_q7_vec_q15_opt</a> (const q15_t *pV, const q7_t *pM, const uint16_t dim_vec, const uint16_t num_of_rows, const uint16_t bias_shift, const uint16_t out_shift, const q7_t *bias, q15_t *pOut, q15_t *vec_buffer)</td></tr>
+<tr class="memdesc:gae3857bb6375692e81dde8cbd70adec08"><td class="mdescLeft">&#160;</td><td class="mdescRight">Mixed Q15-Q7 opt fully-connected layer function. <a href="#gae3857bb6375692e81dde8cbd70adec08">More...</a><br/></td></tr>
+<tr class="separator:gae3857bb6375692e81dde8cbd70adec08"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:gaac666c212b209e636c2369dd5c75d0dc"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__FC.html#gaac666c212b209e636c2369dd5c75d0dc">arm_fully_connected_q15</a> (const q15_t *pV, const q15_t *pM, const uint16_t dim_vec, const uint16_t num_of_rows, const uint16_t bias_shift, const uint16_t out_shift, const q15_t *bias, q15_t *pOut, q15_t *vec_buffer)</td></tr>
+<tr class="memdesc:gaac666c212b209e636c2369dd5c75d0dc"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q15 opt fully-connected layer function. <a href="#gaac666c212b209e636c2369dd5c75d0dc">More...</a><br/></td></tr>
+<tr class="separator:gaac666c212b209e636c2369dd5c75d0dc"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga062912078da113f5dd2004fd919a0ff2"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__FC.html#ga062912078da113f5dd2004fd919a0ff2">arm_fully_connected_q15_opt</a> (const q15_t *pV, const q15_t *pM, const uint16_t dim_vec, const uint16_t num_of_rows, const uint16_t bias_shift, const uint16_t out_shift, const q15_t *bias, q15_t *pOut, q15_t *vec_buffer)</td></tr>
+<tr class="memdesc:ga062912078da113f5dd2004fd919a0ff2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q15 opt fully-connected layer function. <a href="#ga062912078da113f5dd2004fd919a0ff2">More...</a><br/></td></tr>
+<tr class="separator:ga062912078da113f5dd2004fd919a0ff2"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga8b7e0c2e989e8c75f0dc789f3115323d"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__FC.html#ga8b7e0c2e989e8c75f0dc789f3115323d">arm_fully_connected_q7</a> (const q7_t *pV, const q7_t *pM, const uint16_t dim_vec, const uint16_t num_of_rows, const uint16_t bias_shift, const uint16_t out_shift, const q7_t *bias, q7_t *pOut, q15_t *vec_buffer)</td></tr>
+<tr class="memdesc:ga8b7e0c2e989e8c75f0dc789f3115323d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 basic fully-connected layer function. <a href="#ga8b7e0c2e989e8c75f0dc789f3115323d">More...</a><br/></td></tr>
+<tr class="separator:ga8b7e0c2e989e8c75f0dc789f3115323d"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:gaf82b71ef472a38f8fc9ac414d9d07e67"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__FC.html#gaf82b71ef472a38f8fc9ac414d9d07e67">arm_fully_connected_q7_opt</a> (const q7_t *pV, const q7_t *pM, const uint16_t dim_vec, const uint16_t num_of_rows, const uint16_t bias_shift, const uint16_t out_shift, const q7_t *bias, q7_t *pOut, q15_t *vec_buffer)</td></tr>
+<tr class="memdesc:gaf82b71ef472a38f8fc9ac414d9d07e67"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 opt fully-connected layer function. <a href="#gaf82b71ef472a38f8fc9ac414d9d07e67">More...</a><br/></td></tr>
+<tr class="separator:gaf82b71ef472a38f8fc9ac414d9d07e67"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Description</h2>
+<p>Perform fully-connected layer</p>
+<p>Fully-connected layer is basically a matrix-vector multiplication with bias. The matrix is the weights and the input/output vectors are the activation values. Supported {weight, activation} precisions include {8-bit, 8-bit}, {16-bit, 16-bit}, and {8-bit, 16-bit}.</p>
+<p>Here we have two types of kernel functions. The basic function implements the function using regular GEMV approach. The opt functions operates with weights in interleaved formats. </p>
+<h2 class="groupheader">Function Documentation</h2>
+<a class="anchor" id="ga4a1521e7532a1e62d71f3b12762016e2"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">arm_status arm_fully_connected_mat_q7_vec_q15 </td>
+ <td>(</td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>pV</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>pM</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_vec</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>num_of_rows</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>pOut</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>vec_buffer</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">pV</td><td>pointer to input vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">pM</td><td>pointer to matrix weights </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_vec</td><td>length of the vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">num_of_rows</td><td>number of rows in weight matrix </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">pOut</td><td>pointer to output vector </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">vec_buffer</td><td>pointer to buffer space for input </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns <code>ARM_MATH_SUCCESS</code></dd></dl>
+<p><b>Buffer size:</b></p>
+<p>vec_buffer size: 0</p>
+<p>Q7_Q15 version of the fully connected layer</p>
+<p>Weights are in q7_t and Activations are in q15_t </p>
+
+<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+<p>Referenced by <a class="el" href="arm__nnexamples__gru_8cpp.html#ac71a806472c7c0c284a2253e71a6a27b">gru_example()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="gae3857bb6375692e81dde8cbd70adec08"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">arm_status arm_fully_connected_mat_q7_vec_q15_opt </td>
+ <td>(</td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>pV</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>pM</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_vec</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>num_of_rows</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>pOut</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>vec_buffer</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">pV</td><td>pointer to input vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">pM</td><td>pointer to matrix weights </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_vec</td><td>length of the vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">num_of_rows</td><td>number of rows in weight matrix </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">pOut</td><td>pointer to output vector </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">vec_buffer</td><td>pointer to buffer space for input </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns <code>ARM_MATH_SUCCESS</code></dd></dl>
+<p><b>Buffer size:</b></p>
+<p>vec_buffer size: 0</p>
+<p>Q7_Q15 version of the fully connected layer</p>
+<p>Weights are in q7_t and Activations are in q15_t</p>
+<p>Limitation: x4 version requires weight reordering to work</p>
+<p>Here we use only one pointer to read 4 rows in the weight matrix. So if the original q7_t matrix looks like this:</p>
+<p>| a11 | a12 | a13 | a14 | a15 | a16 | a17 |</p>
+<p>| a21 | a22 | a23 | a24 | a25 | a26 | a27 |</p>
+<p>| a31 | a32 | a33 | a34 | a35 | a36 | a37 |</p>
+<p>| a41 | a42 | a43 | a44 | a45 | a46 | a47 |</p>
+<p>| a51 | a52 | a53 | a54 | a55 | a56 | a57 |</p>
+<p>| a61 | a62 | a63 | a64 | a65 | a66 | a67 |</p>
+<p>We operates on multiple-of-4 rows, so the first four rows becomes</p>
+<p>| a11 | a21 | a12 | a22 | a31 | a41 | a32 | a42 |</p>
+<p>| a13 | a23 | a14 | a24 | a33 | a43 | a34 | a44 |</p>
+<p>| a15 | a25 | a16 | a26 | a35 | a45 | a36 | a46 |</p>
+<p>The column left over will be in-order. which is: | a17 | a27 | a37 | a47 |</p>
+<p>For the left-over rows, we do 1x1 computation, so the data remains as its original order.</p>
+<p>So the stored weight matrix looks like this:</p>
+<p>| a11 | a21 | a12 | a22 | a31 | a41 |</p>
+<p>| a32 | a42 | a13 | a23 | a14 | a24 |</p>
+<p>| a33 | a43 | a34 | a44 | a15 | a25 |</p>
+<p>| a16 | a26 | a35 | a45 | a36 | a46 |</p>
+<p>| a17 | a27 | a37 | a47 | a51 | a52 |</p>
+<p>| a53 | a54 | a55 | a56 | a57 | a61 |</p>
+<p>| a62 | a63 | a64 | a65 | a66 | a67 | </p>
+
+<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+<p>Referenced by <a class="el" href="arm__nnexamples__gru_8cpp.html#ac71a806472c7c0c284a2253e71a6a27b">gru_example()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="gaac666c212b209e636c2369dd5c75d0dc"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">arm_status arm_fully_connected_q15 </td>
+ <td>(</td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>pV</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>pM</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_vec</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>num_of_rows</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>pOut</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>vec_buffer</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<p>Q15 basic fully-connected layer function.</p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">pV</td><td>pointer to input vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">pM</td><td>pointer to matrix weights </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_vec</td><td>length of the vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">num_of_rows</td><td>number of rows in weight matrix </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">pOut</td><td>pointer to output vector </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">vec_buffer</td><td>pointer to buffer space for input </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns <code>ARM_MATH_SUCCESS</code></dd></dl>
+<p><b>Buffer size:</b></p>
+<p>vec_buffer size: 0 </p>
+
+<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ga062912078da113f5dd2004fd919a0ff2"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">arm_status arm_fully_connected_q15_opt </td>
+ <td>(</td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>pV</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>pM</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_vec</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>num_of_rows</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>pOut</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>vec_buffer</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">pV</td><td>pointer to input vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">pM</td><td>pointer to matrix weights </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_vec</td><td>length of the vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">num_of_rows</td><td>number of rows in weight matrix </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">pOut</td><td>pointer to output vector </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">vec_buffer</td><td>pointer to buffer space for input </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns <code>ARM_MATH_SUCCESS</code></dd></dl>
+<p><b>Buffer size:</b></p>
+<p>vec_buffer size: 0</p>
+<p>Here we use only one pointer to read 4 rows in the weight matrix. So if the original matrix looks like this:</p>
+<p>| a11 | a12 | a13 |</p>
+<p>| a21 | a22 | a23 |</p>
+<p>| a31 | a32 | a33 |</p>
+<p>| a41 | a42 | a43 |</p>
+<p>| a51 | a52 | a53 |</p>
+<p>| a61 | a62 | a63 |</p>
+<p>We operates on multiple-of-4 rows, so the first four rows becomes</p>
+<p>| a11 | a12 | a21 | a22 | a31 | a32 | a41 | a42 |</p>
+<p>| a13 | a23 | a33 | a43 |</p>
+<p>Remaining rows are kept the same original order.</p>
+<p>So the stored weight matrix looks like this:</p>
+<p>| a11 | a12 | a21 | a22 | a31 | a32 | a41 | a42 |</p>
+<p>| a13 | a23 | a33 | a43 | a51 | a52 | a53 | a61 |</p>
+<p>| a62 | a63 | </p>
+
+<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ga8b7e0c2e989e8c75f0dc789f3115323d"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">arm_status arm_fully_connected_q7 </td>
+ <td>(</td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>pV</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>pM</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_vec</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>num_of_rows</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>pOut</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>vec_buffer</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">pV</td><td>pointer to input vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">pM</td><td>pointer to matrix weights </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_vec</td><td>length of the vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">num_of_rows</td><td>number of rows in weight matrix </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">pOut</td><td>pointer to output vector </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">vec_buffer</td><td>pointer to buffer space for input </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns <code>ARM_MATH_SUCCESS</code></dd></dl>
+<p><b>Buffer size:</b></p>
+<p>vec_buffer size: dim_vec</p>
+<p>This basic function is designed to work with regular weight matrix without interleaving. </p>
+
+<p>References <a class="el" href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">arm_q7_to_q15_reordered_no_shift()</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="gaf82b71ef472a38f8fc9ac414d9d07e67"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">arm_status arm_fully_connected_q7_opt </td>
+ <td>(</td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>pV</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>pM</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_vec</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>num_of_rows</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>pOut</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>vec_buffer</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">pV</td><td>pointer to input vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">pM</td><td>pointer to matrix weights </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_vec</td><td>length of the vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">num_of_rows</td><td>number of rows in weight matrix </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">pOut</td><td>pointer to output vector </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">vec_buffer</td><td>pointer to buffer space for input </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns <code>ARM_MATH_SUCCESS</code></dd></dl>
+<p><b>Buffer size:</b></p>
+<p>vec_buffer size: dim_vec</p>
+<p>This opt function is designed to work with interleaved weight matrix. The vector input is assumed in q7_t format, we call arm_q7_to_q15_no_shift_shuffle function to expand into q15_t format with certain weight re-ordering, refer to the function comments for more details. Here we use only one pointer to read 4 rows in the weight matrix. So if the original q7_t matrix looks like this:</p>
+<p>| a11 | a12 | a13 | a14 | a15 | a16 | a17 |</p>
+<p>| a21 | a22 | a23 | a24 | a25 | a26 | a27 |</p>
+<p>| a31 | a32 | a33 | a34 | a35 | a36 | a37 |</p>
+<p>| a41 | a42 | a43 | a44 | a45 | a46 | a47 |</p>
+<p>| a51 | a52 | a53 | a54 | a55 | a56 | a57 |</p>
+<p>| a61 | a62 | a63 | a64 | a65 | a66 | a67 |</p>
+<p>We operates on multiple-of-4 rows, so the first four rows becomes</p>
+<p>| a11 | a21 | a13 | a23 | a31 | a41 | a33 | a43 |</p>
+<p>| a12 | a22 | a14 | a24 | a32 | a42 | a34 | a44 |</p>
+<p>| a15 | a25 | a35 | a45 | a16 | a26 | a36 | a46 |</p>
+<p>So within the kernel, we first read the re-ordered vector in as:</p>
+<p>| b1 | b3 | and | b2 | b4 |</p>
+<p>the four q31_t weights will look like</p>
+<p>| a11 | a13 |, | a21 | a23 |, | a31 | a33 |, | a41 | a43 |</p>
+<p>| a12 | a14 |, | a22 | a24 |, | a32 | a34 |, | a42 | a44 |</p>
+<p>The column left over will be in-order. which is:</p>
+<p>| a17 | a27 | a37 | a47 |</p>
+<p>For the left-over rows, we do 1x1 computation, so the data remains as its original order.</p>
+<p>So the stored weight matrix looks like this:</p>
+<p>| a11 | a21 | a13 | a23 | a31 | a41 |</p>
+<p>| a33 | a43 | a12 | a22 | a14 | a24 |</p>
+<p>| a32 | a42 | a34 | a44 | a15 | a25 |</p>
+<p>| a35 | a45 | a16 | a26 | a36 | a46 |</p>
+<p>| a17 | a27 | a37 | a47 | a51 | a52 |</p>
+<p>| a53 | a54 | a55 | a56 | a57 | a61 |</p>
+<p>| a62 | a63 | a64 | a65 | a66 | a67 | </p>
+
+<p>References <a class="el" href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">arm_q7_to_q15_reordered_no_shift()</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
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diff --git a/docs/NN/html/group__GRUExample.html b/docs/NN/html/group__GRUExample.html
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+<div class="title">Gated Recurrent Unit Example</div> </div>
+</div><!--header-->
+<div class="contents">
+<dl class="section user"><dt>Description:</dt><dd></dd></dl>
+<dl class="section user"><dt></dt><dd>Demonstrates a gated recurrent unit (GRU) example with the use of fully-connected, Tanh/Sigmoid activation functions.</dd></dl>
+<dl class="section user"><dt>Model definition:</dt><dd></dd></dl>
+<dl class="section user"><dt></dt><dd>GRU is a type of recurrent neural network (RNN). It contains two sigmoid gates and one hidden state. </dd></dl>
+<dl class="section user"><dt></dt><dd>The computation can be summarized as: <pre>z[t] = sigmoid( W_z &sdot; {h[t-1],x[t]} )
+r[t] = sigmoid( W_r &sdot; {h[t-1],x[t]} )
+n[t] = tanh( W_n &sdot; [r[t] &times; {h[t-1], x[t]} )
+h[t] = (1 - z[t]) &times; h[t-1] + z[t] &times; n[t] </pre> <div class="image">
+<img src="GRU.gif" alt="GRU.gif"/>
+<div class="caption">
+Gate Recurrent Unit Diagram</div></div>
+ </dd></dl>
+<dl class="section user"><dt>Variables Description:</dt><dd></dd></dl>
+<dl class="section user"><dt></dt><dd><ul>
+<li><code>update_gate_weights</code>, <code>reset_gate_weights</code>, <code>hidden_state_weights</code> are weights corresponding to update gate (W_z), reset gate (W_r), and hidden state (W_n). </li>
+<li><code>update_gate_bias</code>, <code>reset_gate_bias</code>, <code>hidden_state_bias</code> are layer bias arrays </li>
+<li><code>test_input1</code>, <code>test_input2</code>, <code>test_history</code> are the inputs and initial history</li>
+</ul>
+</dd></dl>
+<dl class="section user"><dt></dt><dd>The buffer is allocated as: </dd></dl>
+<dl class="section user"><dt></dt><dd>| reset | input | history | update | hidden_state | </dd></dl>
+<dl class="section user"><dt></dt><dd>In this way, the concatination is automatically done since (reset, input) and (input, history) are physically concatinated in memory. </dd></dl>
+<dl class="section user"><dt></dt><dd>The ordering of the weight matrix should be adjusted accordingly.</dd></dl>
+<dl class="section user"><dt>CMSIS DSP Software Library Functions Used:</dt><dd></dd></dl>
+<dl class="section user"><dt></dt><dd><ul>
+<li><a class="el" href="group__FC.html#gae3857bb6375692e81dde8cbd70adec08" title="Mixed Q15-Q7 opt fully-connected layer function. ">arm_fully_connected_mat_q7_vec_q15_opt()</a></li>
+<li><a class="el" href="group__Acti.html#ga8932b57c8d0ee757511af2d40dcc11e7" title="Q15 neural network activation function using direct table look-up. ">arm_nn_activations_direct_q15()</a></li>
+<li>arm_mult_q15()</li>
+<li>arm_offset_q15()</li>
+<li>arm_sub_q15()</li>
+<li>arm_copy_q15()</li>
+</ul>
+</dd></dl>
+<p><b> Refer </b> <a class="el" href="arm__nnexamples__gru_8cpp.html">arm_nnexamples_gru.cpp</a> </p>
+</div><!-- contents -->
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+<div class="title">Basic Math Functions for Neural Network Computation</div> </div>
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+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
+Functions</h2></td></tr>
+<tr class="memitem:ga08f8340aa6533271b3aa6d211614fe22"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNBasicMath.html#ga08f8340aa6533271b3aa6d211614fe22">arm_nn_mult_q15</a> (q15_t *pSrcA, q15_t *pSrcB, q15_t *pDst, const uint16_t out_shift, uint32_t blockSize)</td></tr>
+<tr class="memdesc:ga08f8340aa6533271b3aa6d211614fe22"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 vector multiplication with variable output shifts. <a href="#ga08f8340aa6533271b3aa6d211614fe22">More...</a><br/></td></tr>
+<tr class="separator:ga08f8340aa6533271b3aa6d211614fe22"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:gad46c9ab012cceda8ce6681c687a58c70"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNBasicMath.html#gad46c9ab012cceda8ce6681c687a58c70">arm_nn_mult_q7</a> (q7_t *pSrcA, q7_t *pSrcB, q7_t *pDst, const uint16_t out_shift, uint32_t blockSize)</td></tr>
+<tr class="memdesc:gad46c9ab012cceda8ce6681c687a58c70"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 vector multiplication with variable output shifts. <a href="#gad46c9ab012cceda8ce6681c687a58c70">More...</a><br/></td></tr>
+<tr class="separator:gad46c9ab012cceda8ce6681c687a58c70"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Description</h2>
+<p>Basic Math Functions for Neural Network Computation </p>
+<h2 class="groupheader">Function Documentation</h2>
+<a class="anchor" id="ga08f8340aa6533271b3aa6d211614fe22"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void arm_nn_mult_q15 </td>
+ <td>(</td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>pSrcA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>pSrcB</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>pDst</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint32_t&#160;</td>
+ <td class="paramname"><em>blockSize</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">*pSrcA</td><td>pointer to the first input vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">*pSrcB</td><td>pointer to the second input vector </td></tr>
+ <tr><td class="paramdir">[out]</td><td class="paramname">*pDst</td><td>pointer to the output vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>number of samples in each vector </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>none.</dd></dl>
+<p><b>Scaling and Overflow Behavior:</b> </p>
+<dl class="section user"><dt></dt><dd>The function uses saturating arithmetic. Results outside of the allowable Q15 range [0x8000 0x7FFF] will be saturated. </dd></dl>
+
+<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="gad46c9ab012cceda8ce6681c687a58c70"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void arm_nn_mult_q7 </td>
+ <td>(</td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>pSrcA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>pSrcB</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>pDst</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint32_t&#160;</td>
+ <td class="paramname"><em>blockSize</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">*pSrcA</td><td>pointer to the first input vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">*pSrcB</td><td>pointer to the second input vector </td></tr>
+ <tr><td class="paramdir">[out]</td><td class="paramname">*pDst</td><td>pointer to the output vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>number of samples in each vector </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>none.</dd></dl>
+<p><b>Scaling and Overflow Behavior:</b> </p>
+<dl class="section user"><dt></dt><dd>The function uses saturating arithmetic. Results outside of the allowable Q7 range [0x80 0x7F] will be saturated. </dd></dl>
+
+<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+</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="footer">Generated on Wed Aug 1 2018 17:12:32 for CMSIS-NN by Arm Ltd. All rights reserved.
+ <!--
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+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6
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+<title>Neural Network Convolution Functions</title>
+<title>CMSIS-NN: Neural Network Convolution Functions</title>
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+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
+ </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
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+<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark">&#160;</span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark">&#160;</span>Data Structures</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark">&#160;</span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark">&#160;</span>Files</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark">&#160;</span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark">&#160;</span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark">&#160;</span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark">&#160;</span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark">&#160;</span>Macros</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark">&#160;</span>Groups</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark">&#160;</span>Pages</a></div>
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+<a href="#func-members">Functions</a> </div>
+ <div class="headertitle">
+<div class="title">Neural Network Convolution Functions<div class="ingroups"><a class="el" href="group__groupNN.html">Neural Network Functions</a></div></div> </div>
+</div><!--header-->
+<div class="contents">
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
+Functions</h2></td></tr>
+<tr class="memitem:ga110adcfdaab356c750c6270aa5e05f29"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga110adcfdaab356c750c6270aa5e05f29">arm_convolve_1x1_HWC_q7_fast_nonsquare</a> (const q7_t *Im_in, const uint16_t dim_im_in_x, const uint16_t dim_im_in_y, const uint16_t ch_im_in, const q7_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel_x, const uint16_t dim_kernel_y, const uint16_t padding_x, const uint16_t padding_y, const uint16_t stride_x, const uint16_t stride_y, const q7_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q7_t *Im_out, const uint16_t dim_im_out_x, const uint16_t dim_im_out_y, q15_t *bufferA, q7_t *bufferB)</td></tr>
+<tr class="memdesc:ga110adcfdaab356c750c6270aa5e05f29"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fast Q7 version of 1x1 convolution (non-sqaure shape) <a href="#ga110adcfdaab356c750c6270aa5e05f29">More...</a><br/></td></tr>
+<tr class="separator:ga110adcfdaab356c750c6270aa5e05f29"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga55701f213b198084b52eab53097f1f58"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga55701f213b198084b52eab53097f1f58">arm_convolve_HWC_q15_basic</a> (const q15_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const q15_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const q15_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q15_t *Im_out, const uint16_t dim_im_out, q15_t *bufferA, q7_t *bufferB)</td></tr>
+<tr class="memdesc:ga55701f213b198084b52eab53097f1f58"><td class="mdescLeft">&#160;</td><td class="mdescRight">Basic Q15 convolution function. <a href="#ga55701f213b198084b52eab53097f1f58">More...</a><br/></td></tr>
+<tr class="separator:ga55701f213b198084b52eab53097f1f58"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga4efb1ccbbaa7dd936961989dcb443f50"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga4efb1ccbbaa7dd936961989dcb443f50">arm_convolve_HWC_q15_fast</a> (const q15_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const q15_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const q15_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q15_t *Im_out, const uint16_t dim_im_out, q15_t *bufferA, q7_t *bufferB)</td></tr>
+<tr class="memdesc:ga4efb1ccbbaa7dd936961989dcb443f50"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fast Q15 convolution function. <a href="#ga4efb1ccbbaa7dd936961989dcb443f50">More...</a><br/></td></tr>
+<tr class="separator:ga4efb1ccbbaa7dd936961989dcb443f50"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga614ec3b71eb96e29952ec3f09e7b9c3c"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga614ec3b71eb96e29952ec3f09e7b9c3c">arm_convolve_HWC_q15_fast_nonsquare</a> (const q15_t *Im_in, const uint16_t dim_im_in_x, const uint16_t dim_im_in_y, const uint16_t ch_im_in, const q15_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel_x, const uint16_t dim_kernel_y, const uint16_t padding_x, const uint16_t padding_y, const uint16_t stride_x, const uint16_t stride_y, const q15_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q15_t *Im_out, const uint16_t dim_im_out_x, const uint16_t dim_im_out_y, q15_t *bufferA, q7_t *bufferB)</td></tr>
+<tr class="memdesc:ga614ec3b71eb96e29952ec3f09e7b9c3c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fast Q15 convolution function (non-sqaure shape) <a href="#ga614ec3b71eb96e29952ec3f09e7b9c3c">More...</a><br/></td></tr>
+<tr class="separator:ga614ec3b71eb96e29952ec3f09e7b9c3c"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga210ae8d8fc1d12ee15b41f1fa6947681"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga210ae8d8fc1d12ee15b41f1fa6947681">arm_convolve_HWC_q7_basic</a> (const q7_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const q7_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const q7_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q7_t *Im_out, const uint16_t dim_im_out, q15_t *bufferA, q7_t *bufferB)</td></tr>
+<tr class="memdesc:ga210ae8d8fc1d12ee15b41f1fa6947681"><td class="mdescLeft">&#160;</td><td class="mdescRight">Basic Q7 convolution function. <a href="#ga210ae8d8fc1d12ee15b41f1fa6947681">More...</a><br/></td></tr>
+<tr class="separator:ga210ae8d8fc1d12ee15b41f1fa6947681"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga4501fa22c0836002aa47ccc313dce252"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga4501fa22c0836002aa47ccc313dce252">arm_convolve_HWC_q7_basic_nonsquare</a> (const q7_t *Im_in, const uint16_t dim_im_in_x, const uint16_t dim_im_in_y, const uint16_t ch_im_in, const q7_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel_x, const uint16_t dim_kernel_y, const uint16_t padding_x, const uint16_t padding_y, const uint16_t stride_x, const uint16_t stride_y, const q7_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q7_t *Im_out, const uint16_t dim_im_out_x, const uint16_t dim_im_out_y, q15_t *bufferA, q7_t *bufferB)</td></tr>
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+<tr class="separator:ga4501fa22c0836002aa47ccc313dce252"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:gae00d3c1285907d59657369fc98bcc83f"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#gae00d3c1285907d59657369fc98bcc83f">arm_convolve_HWC_q7_fast</a> (const q7_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const q7_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const q7_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q7_t *Im_out, const uint16_t dim_im_out, q15_t *bufferA, q7_t *bufferB)</td></tr>
+<tr class="memdesc:gae00d3c1285907d59657369fc98bcc83f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fast Q7 convolution function. <a href="#gae00d3c1285907d59657369fc98bcc83f">More...</a><br/></td></tr>
+<tr class="separator:gae00d3c1285907d59657369fc98bcc83f"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:gabc6d6b991024e9e5c5cdbd7489de88ef"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#gabc6d6b991024e9e5c5cdbd7489de88ef">arm_convolve_HWC_q7_fast_nonsquare</a> (const q7_t *Im_in, const uint16_t dim_im_in_x, const uint16_t dim_im_in_y, const uint16_t ch_im_in, const q7_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel_x, const uint16_t dim_kernel_y, const uint16_t padding_x, const uint16_t padding_y, const uint16_t stride_x, const uint16_t stride_y, const q7_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q7_t *Im_out, const uint16_t dim_im_out_x, const uint16_t dim_im_out_y, q15_t *bufferA, q7_t *bufferB)</td></tr>
+<tr class="memdesc:gabc6d6b991024e9e5c5cdbd7489de88ef"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fast Q7 convolution function (non-sqaure shape) <a href="#gabc6d6b991024e9e5c5cdbd7489de88ef">More...</a><br/></td></tr>
+<tr class="separator:gabc6d6b991024e9e5c5cdbd7489de88ef"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga98f2ead67d7cbdf558b0cd8a3b8fc148"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga98f2ead67d7cbdf558b0cd8a3b8fc148">arm_convolve_HWC_q7_RGB</a> (const q7_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const q7_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const q7_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q7_t *Im_out, const uint16_t dim_im_out, q15_t *bufferA, q7_t *bufferB)</td></tr>
+<tr class="memdesc:ga98f2ead67d7cbdf558b0cd8a3b8fc148"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 convolution function for RGB image. <a href="#ga98f2ead67d7cbdf558b0cd8a3b8fc148">More...</a><br/></td></tr>
+<tr class="separator:ga98f2ead67d7cbdf558b0cd8a3b8fc148"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:gad3d21b3bc6dbd6f3b97d01104349cb0a"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#gad3d21b3bc6dbd6f3b97d01104349cb0a">arm_depthwise_separable_conv_HWC_q7</a> (const q7_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const q7_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const q7_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q7_t *Im_out, const uint16_t dim_im_out, q15_t *bufferA, q7_t *bufferB)</td></tr>
+<tr class="memdesc:gad3d21b3bc6dbd6f3b97d01104349cb0a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 depthwise separable convolution function. <a href="#gad3d21b3bc6dbd6f3b97d01104349cb0a">More...</a><br/></td></tr>
+<tr class="separator:gad3d21b3bc6dbd6f3b97d01104349cb0a"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga32ac508c5467813a84f74f96655dc697"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga32ac508c5467813a84f74f96655dc697">arm_depthwise_separable_conv_HWC_q7_nonsquare</a> (const q7_t *Im_in, const uint16_t dim_im_in_x, const uint16_t dim_im_in_y, const uint16_t ch_im_in, const q7_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel_x, const uint16_t dim_kernel_y, const uint16_t padding_x, const uint16_t padding_y, const uint16_t stride_x, const uint16_t stride_y, const q7_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q7_t *Im_out, const uint16_t dim_im_out_x, const uint16_t dim_im_out_y, q15_t *bufferA, q7_t *bufferB)</td></tr>
+<tr class="memdesc:ga32ac508c5467813a84f74f96655dc697"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 depthwise separable convolution function (non-square shape) <a href="#ga32ac508c5467813a84f74f96655dc697">More...</a><br/></td></tr>
+<tr class="separator:ga32ac508c5467813a84f74f96655dc697"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Description</h2>
+<p>Perform convolution layer</p>
+<p>The convolution is implemented in 2 steps: im2col and GEMM</p>
+<p>im2col is a process of converting each patch of image data into a column. After im2col, the convolution is computed as matrix-matrix multiplication.</p>
+<p>To reduce the memory footprint, the im2col is performed partially. Each iteration, only a few column (i.e., patches) are generated and computed with GEMM kernels similar to CMSIS-DSP arm_mat_mult functions. </p>
+<h2 class="groupheader">Function Documentation</h2>
+<a class="anchor" id="ga110adcfdaab356c750c6270aa5e05f29"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">arm_status arm_convolve_1x1_HWC_q7_fast_nonsquare </td>
+ <td>(</td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>Im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_in_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_in_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>wt</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_kernel_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_kernel_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>padding_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>padding_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>stride_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>stride_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>Im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_out_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_out_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>bufferA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>bufferB</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_x</td><td>input tensor dimention x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_y</td><td>input tensor dimention y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_x</td><td>filter kernel size x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_y</td><td>filter kernel size y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">padding_x</td><td>padding size x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">padding_y</td><td>padding size y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_x</td><td>output tensor dimension x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_y</td><td>output tensor dimension y </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns either <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.</dd></dl>
+<p>This function is optimized for convolution with 1x1 kernel size (i.e., dim_kernel_x=1 and dim_kernel_y=1). It can be used for the second half of MobileNets [1] after depthwise separable convolution.</p>
+<p>This function is the version with full list of optimization tricks, but with some contraints: ch_im_in is multiple of 4 ch_im_out is multiple of 2</p>
+<p>[1] MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications <a href="https://arxiv.org/abs/1704.04861">https://arxiv.org/abs/1704.04861</a> </p>
+
+<p>References <a class="el" href="arm__nnfunctions_8h.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nn_mat_mult_kernel_q7_q15_reordered()</a>, <a class="el" href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">arm_q7_to_q15_reordered_no_shift()</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ga55701f213b198084b52eab53097f1f58"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">arm_status arm_convolve_HWC_q15_basic </td>
+ <td>(</td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>Im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>wt</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_kernel</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>padding</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>stride</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>Im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>bufferA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>bufferB</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns <code>ARM_MATH_SUCCESS</code></dd></dl>
+<p><b>Buffer size:</b></p>
+<p>bufferA size: ch_im_in*dim_kernel*dim_kernel</p>
+<p>bufferB size: 0</p>
+<p>This basic version is designed to work for any input tensor and weight dimension. </p>
+
+<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ga4efb1ccbbaa7dd936961989dcb443f50"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">arm_status arm_convolve_HWC_q15_fast </td>
+ <td>(</td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>Im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>wt</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_kernel</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>padding</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>stride</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>Im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>bufferA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>bufferB</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns either <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.</dd></dl>
+<p><b>Buffer size:</b></p>
+<p>bufferA size: 2*ch_im_in*dim_kernel*dim_kernel</p>
+<p>bufferB size: 0</p>
+<p><b>Input dimension constraints:</b></p>
+<p>ch_im_in is multiple of 2</p>
+<p>ch_im_out is multipe of 2 </p>
+
+<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ga614ec3b71eb96e29952ec3f09e7b9c3c"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">arm_status arm_convolve_HWC_q15_fast_nonsquare </td>
+ <td>(</td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>Im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_in_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_in_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>wt</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_kernel_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_kernel_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>padding_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>padding_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>stride_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>stride_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>Im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_out_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_out_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>bufferA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>bufferB</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_x</td><td>input tensor dimention x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_y</td><td>input tensor dimention y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_x</td><td>filter kernel size x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_y</td><td>filter kernel size y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">padding_x</td><td>padding size x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">padding_y</td><td>padding size y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_x</td><td>output tensor dimension x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_y</td><td>output tensor dimension y </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns either <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.</dd></dl>
+<p><b>Buffer size:</b></p>
+<p>bufferA size: 2*ch_im_in*dim_kernel*dim_kernel</p>
+<p>bufferB size: 0</p>
+<p><b>Input dimension constraints:</b></p>
+<p>ch_im_in is multiple of 2</p>
+<p>ch_im_out is multipe of 2 </p>
+
+<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ga210ae8d8fc1d12ee15b41f1fa6947681"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">arm_status arm_convolve_HWC_q7_basic </td>
+ <td>(</td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>Im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>wt</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_kernel</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>padding</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>stride</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>Im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>bufferA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>bufferB</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns <code>ARM_MATH_SUCCESS</code></dd></dl>
+<p><b>Buffer size:</b></p>
+<p>bufferA size: 2*ch_im_in*dim_kernel*dim_kernel</p>
+<p>bufferB size: 0</p>
+<p>This basic version is designed to work for any input tensor and weight dimension. </p>
+
+<p>References <a class="el" href="arm__nnfunctions_8h.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nn_mat_mult_kernel_q7_q15()</a>, <a class="el" href="group__nndata__convert.html#gae349de4dba8d253c89d45794ccf05680">arm_q7_to_q15_no_shift()</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ga4501fa22c0836002aa47ccc313dce252"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">arm_status arm_convolve_HWC_q7_basic_nonsquare </td>
+ <td>(</td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>Im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_in_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_in_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>wt</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_kernel_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_kernel_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>padding_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>padding_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>stride_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>stride_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>Im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_out_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_out_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>bufferA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>bufferB</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_x</td><td>input tensor dimention x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_y</td><td>input tensor dimention y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_x</td><td>filter kernel size x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_y</td><td>filter kernel size y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">padding_x</td><td>padding size x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">padding_y</td><td>padding size y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_x</td><td>output tensor dimension x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_y</td><td>output tensor dimension y </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns <code>ARM_MATH_SUCCESS</code> </dd></dl>
+
+<p>References <a class="el" href="arm__nnfunctions_8h.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nn_mat_mult_kernel_q7_q15()</a>, <a class="el" href="group__nndata__convert.html#gae349de4dba8d253c89d45794ccf05680">arm_q7_to_q15_no_shift()</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="gae00d3c1285907d59657369fc98bcc83f"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">arm_status arm_convolve_HWC_q7_fast </td>
+ <td>(</td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>Im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>wt</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_kernel</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>padding</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>stride</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>Im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>bufferA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>bufferB</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns either <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.</dd></dl>
+<p><b>Buffer size:</b></p>
+<p>bufferA size: 2*ch_im_in*dim_kernel*dim_kernel</p>
+<p>bufferB size: 0</p>
+<p><b>Input dimension constraints:</b></p>
+<p>ch_im_in is multiple of 4 ( because of the SIMD32 read and swap )</p>
+<p>ch_im_out is multipe of 2 ( bacause 2x2 mat_mult kernel )</p>
+<p>The im2col converts the Q7 tensor input into Q15 column, which is stored in bufferA. There is reordering happenning during this im2col process with arm_q7_to_q15_reordered_no_shift. For every four elements, the second and third elements are swapped.</p>
+<p>The computation kernel arm_nn_mat_mult_kernel_q7_q15_reordered does the GEMM computation with the reordered columns.</p>
+<p>To speed-up the determination of the padding condition, we split the computation into 3x3 parts, i.e., {top, mid, bottom} X {left, mid, right}. This reduces the total number of boundary condition checks and improves the data copying performance. </p>
+
+<p>References <a class="el" href="arm__nnfunctions_8h.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nn_mat_mult_kernel_q7_q15_reordered()</a>, <a class="el" href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">arm_q7_to_q15_reordered_no_shift()</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="gabc6d6b991024e9e5c5cdbd7489de88ef"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">arm_status arm_convolve_HWC_q7_fast_nonsquare </td>
+ <td>(</td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>Im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_in_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_in_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>wt</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_kernel_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_kernel_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>padding_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>padding_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>stride_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>stride_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>Im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_out_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_out_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>bufferA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>bufferB</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_x</td><td>input tensor dimention x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_y</td><td>input tensor dimention y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_x</td><td>filter kernel size x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_y</td><td>filter kernel size y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">padding_x</td><td>padding size x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">padding_y</td><td>padding size y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_x</td><td>output tensor dimension x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_y</td><td>output tensor dimension y </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns either <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.</dd></dl>
+<p>This function is the version with full list of optimization tricks, but with some contraints: ch_im_in is multiple of 4 ch_im_out is multiple of 2 </p>
+
+<p>References <a class="el" href="arm__nnfunctions_8h.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nn_mat_mult_kernel_q7_q15_reordered()</a>, <a class="el" href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">arm_q7_to_q15_reordered_no_shift()</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ga98f2ead67d7cbdf558b0cd8a3b8fc148"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">arm_status arm_convolve_HWC_q7_RGB </td>
+ <td>(</td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>Im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>wt</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_kernel</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>padding</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>stride</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>Im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>bufferA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>bufferB</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<p>Q7 version of convolution for RGB image.</p>
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns either <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.</dd></dl>
+<p><b>Buffer size:</b></p>
+<p>bufferA size: 2*ch_im_in*dim_kernel*dim_kernel</p>
+<p>bufferB size: 0</p>
+<p><b>Input dimension constraints:</b></p>
+<p>ch_im_in equals 3</p>
+<p>This kernel is written exclusively for convolution with ch_im_in equals 3. This applies on the first layer of CNNs which has input image with RGB format. </p>
+
+<p>References <a class="el" href="arm__nnfunctions_8h.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nn_mat_mult_kernel_q7_q15()</a>, <a class="el" href="unionarm__nnword.html#a9b5e49e4e2c4b7203e07b305386bb2ba">arm_nnword::half_words</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>, and <a class="el" href="unionarm__nnword.html#a35c7b2ae25e35e0ddcd9ec0a1a6f8d18">arm_nnword::word</a>.</p>
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="gad3d21b3bc6dbd6f3b97d01104349cb0a"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">arm_status arm_depthwise_separable_conv_HWC_q7 </td>
+ <td>(</td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>Im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>wt</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_kernel</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>padding</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>stride</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>Im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>bufferA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>bufferB</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns either <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.</dd></dl>
+<p><b>Buffer size:</b></p>
+<p>bufferA size: 2*ch_im_in*dim_kernel*dim_kernel</p>
+<p>bufferB size: 0</p>
+<p><b>Input dimension constraints:</b></p>
+<p>ch_im_in equals ch_im_out</p>
+<p>Implementation: There are 3 nested loop here: Inner loop: calculate each output value with MAC instruction over an accumulator Mid loop: loop over different output channel Outer loop: loop over different output (x, y) </p>
+
+<p>References <a class="el" href="unionarm__nnword.html#ac7cff6480a8e29d95f29b73cb1267249">arm_nnword::bytes</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>, and <a class="el" href="unionarm__nnword.html#a35c7b2ae25e35e0ddcd9ec0a1a6f8d18">arm_nnword::word</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ga32ac508c5467813a84f74f96655dc697"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">arm_status arm_depthwise_separable_conv_HWC_q7_nonsquare </td>
+ <td>(</td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>Im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_in_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_in_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>wt</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_kernel_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_kernel_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>padding_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>padding_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>stride_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>stride_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>bias</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>bias_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>out_shift</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>Im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_out_x</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_out_y</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>bufferA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>bufferB</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_x</td><td>input tensor dimention x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_y</td><td>input tensor dimention y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_x</td><td>filter kernel size x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_y</td><td>filter kernel size y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">padding_x</td><td>padding sizes x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">padding_y</td><td>padding sizes y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride y </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_x</td><td>output tensor dimension x </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_y</td><td>output tensor dimension y </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>The function returns either <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.</dd></dl>
+<p>This function is the version with full list of optimization tricks, but with some contraints: ch_im_in is multiple of 2 ch_im_out is multiple of 2 </p>
+
+<p>References <a class="el" href="unionarm__nnword.html#ac7cff6480a8e29d95f29b73cb1267249">arm_nnword::bytes</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>, and <a class="el" href="unionarm__nnword.html#a35c7b2ae25e35e0ddcd9ec0a1a6f8d18">arm_nnword::word</a>.</p>
+
+</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="footer">Generated on Wed Aug 1 2018 17:12:32 for CMSIS-NN by Arm Ltd. All rights reserved.
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+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=9"/>
+<title>Neural Network Pooling Functions</title>
+<title>CMSIS-NN: Neural Network Pooling Functions</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<link href="cmsis.css" rel="stylesheet" type="text/css" />
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+ <td id="projectlogo"><img alt="Logo" src="CMSIS_Logo_Final.png"/></td>
+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
+ </td>
+ </tr>
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+
+<div class="header">
+ <div class="summary">
+<a href="#func-members">Functions</a> </div>
+ <div class="headertitle">
+<div class="title">Neural Network Pooling Functions<div class="ingroups"><a class="el" href="group__groupNN.html">Neural Network Functions</a></div></div> </div>
+</div><!--header-->
+<div class="contents">
+<table class="memberdecls">
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+Functions</h2></td></tr>
+<tr class="memitem:ga99afcdcc61eaf429ab3ee823702e44ce"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Pooling.html#ga99afcdcc61eaf429ab3ee823702e44ce">arm_maxpool_q7_HWC</a> (q7_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const uint16_t dim_im_out, q7_t *bufferA, q7_t *Im_out)</td></tr>
+<tr class="memdesc:ga99afcdcc61eaf429ab3ee823702e44ce"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 max pooling function. <a href="#ga99afcdcc61eaf429ab3ee823702e44ce">More...</a><br/></td></tr>
+<tr class="separator:ga99afcdcc61eaf429ab3ee823702e44ce"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:gae4a7b07f97ec4313524c9fb9fbcb1f6a"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Pooling.html#gae4a7b07f97ec4313524c9fb9fbcb1f6a">arm_avepool_q7_HWC</a> (q7_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const uint16_t dim_im_out, q7_t *bufferA, q7_t *Im_out)</td></tr>
+<tr class="memdesc:gae4a7b07f97ec4313524c9fb9fbcb1f6a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 average pooling function. <a href="#gae4a7b07f97ec4313524c9fb9fbcb1f6a">More...</a><br/></td></tr>
+<tr class="separator:gae4a7b07f97ec4313524c9fb9fbcb1f6a"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Description</h2>
+<p>Perform pooling functions, including max pooling and average pooling </p>
+<h2 class="groupheader">Function Documentation</h2>
+<a class="anchor" id="gae4a7b07f97ec4313524c9fb9fbcb1f6a"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void arm_avepool_q7_HWC </td>
+ <td>(</td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>Im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_kernel</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>padding</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>stride</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>bufferA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>Im_out</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>none.</dd></dl>
+<p><b>Buffer size:</b></p>
+<p>bufferA size: 2*dim_im_out*ch_im_in</p>
+<p>The pooling function is implemented as split x-pooling then y-pooling.</p>
+<p>This pooling function is input-destructive. Input data is undefined after calling this function. </p>
+
+<p>References <a class="el" href="group__nndata__convert.html#gae349de4dba8d253c89d45794ccf05680">arm_q7_to_q15_no_shift()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="ga99afcdcc61eaf429ab3ee823702e44ce"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void arm_maxpool_q7_HWC </td>
+ <td>(</td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>Im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>ch_im_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_kernel</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>padding</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>stride</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_im_out</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>bufferA</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>Im_out</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
+ <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>none.</dd></dl>
+<p><b>Buffer size:</b></p>
+<p>bufferA size: 0</p>
+<p>The pooling function is implemented as split x-pooling then y-pooling.</p>
+<p>This pooling function is input-destructive. Input data is undefined after calling this function. </p>
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</div>
+</div>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
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+ [ "arm_maxpool_q7_HWC", "group__Pooling.html#ga99afcdcc61eaf429ab3ee823702e44ce", null ]
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diff --git a/docs/NN/html/group__Softmax.html b/docs/NN/html/group__Softmax.html
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+ <td id="projectlogo"><img alt="Logo" src="CMSIS_Logo_Final.png"/></td>
+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
+ </td>
+ </tr>
+ </tbody>
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+<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark">&#160;</span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark">&#160;</span>Data Structures</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark">&#160;</span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark">&#160;</span>Files</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark">&#160;</span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark">&#160;</span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark">&#160;</span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark">&#160;</span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark">&#160;</span>Macros</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark">&#160;</span>Groups</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark">&#160;</span>Pages</a></div>
+
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+ 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">Softmax Functions<div class="ingroups"><a class="el" href="group__groupNN.html">Neural Network Functions</a></div></div> </div>
+</div><!--header-->
+<div class="contents">
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
+Functions</h2></td></tr>
+<tr class="memitem:ga1cacd8b84b8363079311987d0016ebe5"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Softmax.html#ga1cacd8b84b8363079311987d0016ebe5">arm_softmax_q15</a> (const q15_t *vec_in, const uint16_t dim_vec, q15_t *p_out)</td></tr>
+<tr class="memdesc:ga1cacd8b84b8363079311987d0016ebe5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q15 softmax function. <a href="#ga1cacd8b84b8363079311987d0016ebe5">More...</a><br/></td></tr>
+<tr class="separator:ga1cacd8b84b8363079311987d0016ebe5"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ga89aff212a97a3cf32d9d7ddf11a8f43e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Softmax.html#ga89aff212a97a3cf32d9d7ddf11a8f43e">arm_softmax_q7</a> (const q7_t *vec_in, const uint16_t dim_vec, q7_t *p_out)</td></tr>
+<tr class="memdesc:ga89aff212a97a3cf32d9d7ddf11a8f43e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 softmax function. <a href="#ga89aff212a97a3cf32d9d7ddf11a8f43e">More...</a><br/></td></tr>
+<tr class="separator:ga89aff212a97a3cf32d9d7ddf11a8f43e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Description</h2>
+<p>EXP(2) based softmax function </p>
+<h2 class="groupheader">Function Documentation</h2>
+<a class="anchor" id="ga1cacd8b84b8363079311987d0016ebe5"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void arm_softmax_q15 </td>
+ <td>(</td>
+ <td class="paramtype">const q15_t *&#160;</td>
+ <td class="paramname"><em>vec_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_vec</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>p_out</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">vec_in</td><td>pointer to input vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_vec</td><td>input vector dimention </td></tr>
+ <tr><td class="paramdir">[out]</td><td class="paramname">p_out</td><td>pointer to output vector </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>none.</dd></dl>
+<p>Here, instead of typical e based softmax, we use 2-based softmax, i.e.,:</p>
+<p>y_i = 2^(x_i) / sum(2^x_j)</p>
+<p>The relative output will be different here. But mathematically, the gradient will be the same with a log(2) scaling factor. </p>
+
+</div>
+</div>
+<a class="anchor" id="ga89aff212a97a3cf32d9d7ddf11a8f43e"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void arm_softmax_q7 </td>
+ <td>(</td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>vec_in</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const uint16_t&#160;</td>
+ <td class="paramname"><em>dim_vec</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q7_t *&#160;</td>
+ <td class="paramname"><em>p_out</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">vec_in</td><td>pointer to input vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">dim_vec</td><td>input vector dimention </td></tr>
+ <tr><td class="paramdir">[out]</td><td class="paramname">p_out</td><td>pointer to output vector </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>none.</dd></dl>
+<p>Here, instead of typical natural logarithm e based softmax, we use 2-based softmax here, i.e.,:</p>
+<p>y_i = 2^(x_i) / sum(2^x_j)</p>
+<p>The relative output will be different here. But mathematically, the gradient will be the same with a log(2) scaling factor. </p>
+
+<p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
+
+</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="footer">Generated on Wed Aug 1 2018 17:12:32 for CMSIS-NN by Arm Ltd. All rights reserved.
+ <!--
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+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6
+ -->
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+ </ul>
+</div>
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+</html>
diff --git a/docs/NN/html/group__Softmax.js b/docs/NN/html/group__Softmax.js
new file mode 100644
index 0000000..c190510
--- /dev/null
+++ b/docs/NN/html/group__Softmax.js
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+var group__Softmax =
+[
+ [ "arm_softmax_q15", "group__Softmax.html#ga1cacd8b84b8363079311987d0016ebe5", null ],
+ [ "arm_softmax_q7", "group__Softmax.html#ga89aff212a97a3cf32d9d7ddf11a8f43e", null ]
+]; \ No newline at end of file
diff --git a/docs/NN/html/group__groupNN.html b/docs/NN/html/group__groupNN.html
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+ <div id="projectbrief">CMSIS NN Software Library</div>
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+ <div class="headertitle">
+<div class="title">Neural Network Functions</div> </div>
+</div><!--header-->
+<div class="contents">
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="groups"></a>
+Content</h2></td></tr>
+<tr class="memitem:group__Acti"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Acti.html">Neural Network Activation Functions</a></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:group__NNConv"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html">Neural Network Convolution Functions</a></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:group__FC"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__FC.html">Fully-connected Layer Functions</a></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:group__Pooling"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Pooling.html">Neural Network Pooling Functions</a></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:group__Softmax"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Softmax.html">Softmax Functions</a></td></tr>
+<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Description</h2>
+<p>These functions perform basic operations for neural network layers. </p>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+ <ul>
+ <li class="footer">Generated on Wed Aug 1 2018 17:12:32 for CMSIS-NN by Arm Ltd. All rights reserved.
+ <!--
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+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6
+ -->
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+ </ul>
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+</html>
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+[
+ [ "Neural Network Activation Functions", "group__Acti.html", "group__Acti" ],
+ [ "Neural Network Convolution Functions", "group__NNConv.html", "group__NNConv" ],
+ [ "Fully-connected Layer Functions", "group__FC.html", "group__FC" ],
+ [ "Neural Network Pooling Functions", "group__Pooling.html", "group__Pooling" ],
+ [ "Softmax Functions", "group__Softmax.html", "group__Softmax" ]
+]; \ No newline at end of file
diff --git a/docs/NN/html/group__nndata__convert.html b/docs/NN/html/group__nndata__convert.html
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+++ b/docs/NN/html/group__nndata__convert.html
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+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
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+<title>CMSIS-NN: Neural Network Data Conversion Functions</title>
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+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
+ </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<div id="CMSISnav" class="tabs1">
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+
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+</iframe>
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+
+<div class="header">
+ <div class="summary">
+<a href="#func-members">Functions</a> </div>
+ <div class="headertitle">
+<div class="title">Neural Network Data Conversion Functions</div> </div>
+</div><!--header-->
+<div class="contents">
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
+Functions</h2></td></tr>
+<tr class="memitem:gae349de4dba8d253c89d45794ccf05680"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__nndata__convert.html#gae349de4dba8d253c89d45794ccf05680">arm_q7_to_q15_no_shift</a> (const q7_t *pSrc, q15_t *pDst, uint32_t blockSize)</td></tr>
+<tr class="memdesc:gae349de4dba8d253c89d45794ccf05680"><td class="mdescLeft">&#160;</td><td class="mdescRight">Converts the elements of the Q7 vector to Q15 vector without left-shift. <a href="#gae349de4dba8d253c89d45794ccf05680">More...</a><br/></td></tr>
+<tr class="separator:gae349de4dba8d253c89d45794ccf05680"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:gaba8fd446d5f54760b406ee63b25d1aee"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">arm_q7_to_q15_reordered_no_shift</a> (const q7_t *pSrc, q15_t *pDst, uint32_t blockSize)</td></tr>
+<tr class="memdesc:gaba8fd446d5f54760b406ee63b25d1aee"><td class="mdescLeft">&#160;</td><td class="mdescRight">Converts the elements of the Q7 vector to reordered Q15 vector without left-shift. <a href="#gaba8fd446d5f54760b406ee63b25d1aee">More...</a><br/></td></tr>
+<tr class="separator:gaba8fd446d5f54760b406ee63b25d1aee"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Description</h2>
+<p>Perform data type conversion in-between neural network operations </p>
+<h2 class="groupheader">Function Documentation</h2>
+<a class="anchor" id="gae349de4dba8d253c89d45794ccf05680"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void arm_q7_to_q15_no_shift </td>
+ <td>(</td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>pSrc</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>pDst</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint32_t&#160;</td>
+ <td class="paramname"><em>blockSize</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">*pSrc</td><td>points to the Q7 input vector </td></tr>
+ <tr><td class="paramdir">[out]</td><td class="paramname">*pDst</td><td>points to the Q15 output vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>length of the input vector </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>none.</dd></dl>
+<dl class="section user"><dt>Description: </dt><dd></dd></dl>
+<p>The equation used for the conversion process is:</p>
+<pre>
+ pDst[n] = (q15_t) pSrc[n]; 0 &lt;= n &lt; blockSize.
+</pre>
+<p>Referenced by <a class="el" href="group__Pooling.html#gae4a7b07f97ec4313524c9fb9fbcb1f6a">arm_avepool_q7_HWC()</a>, <a class="el" href="group__NNConv.html#ga210ae8d8fc1d12ee15b41f1fa6947681">arm_convolve_HWC_q7_basic()</a>, and <a class="el" href="group__NNConv.html#ga4501fa22c0836002aa47ccc313dce252">arm_convolve_HWC_q7_basic_nonsquare()</a>.</p>
+
+</div>
+</div>
+<a class="anchor" id="gaba8fd446d5f54760b406ee63b25d1aee"></a>
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">void arm_q7_to_q15_reordered_no_shift </td>
+ <td>(</td>
+ <td class="paramtype">const q7_t *&#160;</td>
+ <td class="paramname"><em>pSrc</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">q15_t *&#160;</td>
+ <td class="paramname"><em>pDst</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint32_t&#160;</td>
+ <td class="paramname"><em>blockSize</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+<dl class="params"><dt>Parameters</dt><dd>
+ <table class="params">
+ <tr><td class="paramdir">[in]</td><td class="paramname">*pSrc</td><td>points to the Q7 input vector </td></tr>
+ <tr><td class="paramdir">[out]</td><td class="paramname">*pDst</td><td>points to the Q15 output vector </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">blockSize</td><td>length of the input vector </td></tr>
+ </table>
+ </dd>
+</dl>
+<dl class="section return"><dt>Returns</dt><dd>none.</dd></dl>
+<p>This function does the q7 to q15 expansion with re-ordering</p>
+<pre>
+ | A1 | A2 | A3 | A4 |</pre><pre> 0 7 8 15 16 23 24 31
+</pre><p>is converted into:</p>
+<pre>
+ | A1 | A3 | and | A2 | A4 |</pre><pre> 0 15 16 31 0 15 16 31
+</pre><p>This looks strange but is natural considering how sign-extension is done at assembly level.</p>
+<p>The expansion of other other oprand will follow the same rule so that the end results are the same.</p>
+<p>The tail (i.e., last (N % 4) elements) will still be in original order. </p>
+
+<p>Referenced by <a class="el" href="group__NNConv.html#ga110adcfdaab356c750c6270aa5e05f29">arm_convolve_1x1_HWC_q7_fast_nonsquare()</a>, <a class="el" href="group__NNConv.html#gae00d3c1285907d59657369fc98bcc83f">arm_convolve_HWC_q7_fast()</a>, <a class="el" href="group__NNConv.html#gabc6d6b991024e9e5c5cdbd7489de88ef">arm_convolve_HWC_q7_fast_nonsquare()</a>, <a class="el" href="group__FC.html#ga8b7e0c2e989e8c75f0dc789f3115323d">arm_fully_connected_q7()</a>, and <a class="el" href="group__FC.html#gaf82b71ef472a38f8fc9ac414d9d07e67">arm_fully_connected_q7_opt()</a>.</p>
+
+</div>
+</div>
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+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
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+ <!--
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+ [ "arm_q7_to_q15_reordered_no_shift", "group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee", null ]
+]; \ No newline at end of file
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+ <td style="padding-left: 0.5em;">
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+ &#160;<span id="projectnumber">Version 1.1.0</span>
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+ <div id="projectbrief">CMSIS NN Software Library</div>
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+<div class="title">CMSIS NN Software Library </div> </div>
+</div><!--header-->
+<div class="contents">
+<div class="textblock"><h2>Introduction </h2>
+<p>This user manual describes the CMSIS NN software library, a collection of efficient neural network kernels developed to maximize the performance and minimize the memory footprint of neural networks on Cortex-M processor cores.</p>
+<p>The library is divided into a number of functions each covering a specific category:</p>
+<ul>
+<li>Neural Network Convolution Functions</li>
+<li>Neural Network Activation Functions</li>
+<li>Fully-connected Layer Functions</li>
+<li>Neural Network Pooling Functions</li>
+<li>Softmax Functions</li>
+<li>Neural Network Support Functions</li>
+</ul>
+<p>The library has separate functions for operating on different weight and activation data types including 8-bit integers (q7_t) and 16-bit integers (q15_t). The descrition of the kernels are included in the function description. The implementation details are also described in this paper [1].</p>
+<h2>Block Diagram </h2>
+<div class="image">
+<img src="CMSIS-NN-OVERVIEW.PNG" alt="CMSIS-NN-OVERVIEW.PNG"/>
+</div>
+<h2>Examples </h2>
+<p>The library ships with a number of examples which demonstrate how to use the library functions.</p>
+<h2>Pre-processor Macros </h2>
+<p>Each library project have differant pre-processor macros.</p>
+<ul>
+<li>ARM_MATH_DSP:</li>
+</ul>
+<p>Define macro ARM_MATH_DSP, If the silicon supports DSP instructions.</p>
+<ul>
+<li>ARM_MATH_BIG_ENDIAN:</li>
+</ul>
+<p>Define macro ARM_MATH_BIG_ENDIAN to build the library for big endian targets. By default library builds for little endian targets.</p>
+<ul>
+<li>ARM_NN_TRUNCATE:</li>
+</ul>
+<p>Define macro ARM_NN_TRUNCATE to use floor instead of round-to-the-nearest-int for the computation.</p>
+<h2>Copyright Notice </h2>
+<p>Copyright (C) 2010-2018 Arm Limited. All rights reserved.</p>
+<p>[1] CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs <a href="https://arxiv.org/abs/1801.06601">https://arxiv.org/abs/1801.06601</a> </p>
+</div></div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+ <ul>
+ <li class="footer">Generated on Wed Aug 1 2018 17:12:32 for CMSIS-NN by Arm Ltd. All rights reserved.
+ <!--
+ <a href="http://www.doxygen.org/index.html">
+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6
+ -->
+ </li>
+ </ul>
+</div>
+</body>
+</html>
diff --git a/docs/NN/html/jquery.js b/docs/NN/html/jquery.js
new file mode 100644
index 0000000..3db33e6
--- /dev/null
+++ b/docs/NN/html/jquery.js
@@ -0,0 +1,72 @@
+/*!
+ * jQuery JavaScript Library v1.7.1
+ * http://jquery.com/
+ *
+ * Copyright 2011, John Resig
+ * Dual licensed under the MIT or GPL Version 2 licenses.
+ * http://jquery.org/license
+ *
+ * Includes Sizzle.js
+ * http://sizzlejs.com/
+ * Copyright 2011, The Dojo Foundation
+ * Released under the MIT, BSD, and GPL Licenses.
+ *
+ * Date: Mon Nov 21 21:11:03 2011 -0500
+ */
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+/*!
+ * Sizzle CSS Selector Engine
+ * Copyright 2011, The Dojo Foundation
+ * Released under the MIT, BSD, and GPL Licenses.
+ * More information: http://sizzlejs.com/
+ */
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+})}})(window);
+/*!
+ * jQuery UI 1.8.18
+ *
+ * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
+ * Dual licensed under the MIT or GPL Version 2 licenses.
+ * http://jquery.org/license
+ *
+ * http://docs.jquery.com/UI
+ */
+(function(a,d){a.ui=a.ui||{};if(a.ui.version){return}a.extend(a.ui,{version:"1.8.18",keyCode:{ALT:18,BACKSPACE:8,CAPS_LOCK:20,COMMA:188,COMMAND:91,COMMAND_LEFT:91,COMMAND_RIGHT:93,CONTROL:17,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,HOME:36,INSERT:45,LEFT:37,MENU:93,NUMPAD_ADD:107,NUMPAD_DECIMAL:110,NUMPAD_DIVIDE:111,NUMPAD_ENTER:108,NUMPAD_MULTIPLY:106,NUMPAD_SUBTRACT:109,PAGE_DOWN:34,PAGE_UP:33,PERIOD:190,RIGHT:39,SHIFT:16,SPACE:32,TAB:9,UP:38,WINDOWS:91}});a.fn.extend({propAttr:a.fn.prop||a.fn.attr,_focus:a.fn.focus,focus:function(e,f){return typeof e==="number"?this.each(function(){var g=this;setTimeout(function(){a(g).focus();if(f){f.call(g)}},e)}):this._focus.apply(this,arguments)},scrollParent:function(){var e;if((a.browser.msie&&(/(static|relative)/).test(this.css("position")))||(/absolute/).test(this.css("position"))){e=this.parents().filter(function(){return(/(relative|absolute|fixed)/).test(a.curCSS(this,"position",1))&&(/(auto|scroll)/).test(a.curCSS(this,"overflow",1)+a.curCSS(this,"overflow-y",1)+a.curCSS(this,"overflow-x",1))}).eq(0)}else{e=this.parents().filter(function(){return(/(auto|scroll)/).test(a.curCSS(this,"overflow",1)+a.curCSS(this,"overflow-y",1)+a.curCSS(this,"overflow-x",1))}).eq(0)}return(/fixed/).test(this.css("position"))||!e.length?a(document):e},zIndex:function(h){if(h!==d){return this.css("zIndex",h)}if(this.length){var f=a(this[0]),e,g;while(f.length&&f[0]!==document){e=f.css("position");if(e==="absolute"||e==="relative"||e==="fixed"){g=parseInt(f.css("zIndex"),10);if(!isNaN(g)&&g!==0){return g}}f=f.parent()}}return 0},disableSelection:function(){return this.bind((a.support.selectstart?"selectstart":"mousedown")+".ui-disableSelection",function(e){e.preventDefault()})},enableSelection:function(){return this.unbind(".ui-disableSelection")}});a.each(["Width","Height"],function(g,e){var f=e==="Width"?["Left","Right"]:["Top","Bottom"],h=e.toLowerCase(),k={innerWidth:a.fn.innerWidth,innerHeight:a.fn.innerHeight,outerWidth:a.fn.outerWidth,outerHeight:a.fn.outerHeight};function j(m,l,i,n){a.each(f,function(){l-=parseFloat(a.curCSS(m,"padding"+this,true))||0;if(i){l-=parseFloat(a.curCSS(m,"border"+this+"Width",true))||0}if(n){l-=parseFloat(a.curCSS(m,"margin"+this,true))||0}});return l}a.fn["inner"+e]=function(i){if(i===d){return k["inner"+e].call(this)}return this.each(function(){a(this).css(h,j(this,i)+"px")})};a.fn["outer"+e]=function(i,l){if(typeof i!=="number"){return k["outer"+e].call(this,i)}return this.each(function(){a(this).css(h,j(this,i,true,l)+"px")})}});function c(g,e){var j=g.nodeName.toLowerCase();if("area"===j){var i=g.parentNode,h=i.name,f;if(!g.href||!h||i.nodeName.toLowerCase()!=="map"){return false}f=a("img[usemap=#"+h+"]")[0];return !!f&&b(f)}return(/input|select|textarea|button|object/.test(j)?!g.disabled:"a"==j?g.href||e:e)&&b(g)}function b(e){return !a(e).parents().andSelf().filter(function(){return a.curCSS(this,"visibility")==="hidden"||a.expr.filters.hidden(this)}).length}a.extend(a.expr[":"],{data:function(g,f,e){return !!a.data(g,e[3])},focusable:function(e){return c(e,!isNaN(a.attr(e,"tabindex")))},tabbable:function(g){var e=a.attr(g,"tabindex"),f=isNaN(e);return(f||e>=0)&&c(g,!f)}});a(function(){var e=document.body,f=e.appendChild(f=document.createElement("div"));f.offsetHeight;a.extend(f.style,{minHeight:"100px",height:"auto",padding:0,borderWidth:0});a.support.minHeight=f.offsetHeight===100;a.support.selectstart="onselectstart" in f;e.removeChild(f).style.display="none"});a.extend(a.ui,{plugin:{add:function(f,g,j){var h=a.ui[f].prototype;for(var e in j){h.plugins[e]=h.plugins[e]||[];h.plugins[e].push([g,j[e]])}},call:function(e,g,f){var j=e.plugins[g];if(!j||!e.element[0].parentNode){return}for(var h=0;h<j.length;h++){if(e.options[j[h][0]]){j[h][1].apply(e.element,f)}}}},contains:function(f,e){return document.compareDocumentPosition?f.compareDocumentPosition(e)&16:f!==e&&f.contains(e)},hasScroll:function(h,f){if(a(h).css("overflow")==="hidden"){return false}var e=(f&&f==="left")?"scrollLeft":"scrollTop",g=false;if(h[e]>0){return true}h[e]=1;g=(h[e]>0);h[e]=0;return g},isOverAxis:function(f,e,g){return(f>e)&&(f<(e+g))},isOver:function(j,f,i,h,e,g){return a.ui.isOverAxis(j,i,e)&&a.ui.isOverAxis(f,h,g)}})})(jQuery);/*!
+ * jQuery UI Widget 1.8.18
+ *
+ * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
+ * Dual licensed under the MIT or GPL Version 2 licenses.
+ * http://jquery.org/license
+ *
+ * http://docs.jquery.com/UI/Widget
+ */
+(function(b,d){if(b.cleanData){var c=b.cleanData;b.cleanData=function(f){for(var g=0,h;(h=f[g])!=null;g++){try{b(h).triggerHandler("remove")}catch(j){}}c(f)}}else{var a=b.fn.remove;b.fn.remove=function(e,f){return this.each(function(){if(!f){if(!e||b.filter(e,[this]).length){b("*",this).add([this]).each(function(){try{b(this).triggerHandler("remove")}catch(g){}})}}return a.call(b(this),e,f)})}}b.widget=function(f,h,e){var g=f.split(".")[0],j;f=f.split(".")[1];j=g+"-"+f;if(!e){e=h;h=b.Widget}b.expr[":"][j]=function(k){return !!b.data(k,f)};b[g]=b[g]||{};b[g][f]=function(k,l){if(arguments.length){this._createWidget(k,l)}};var i=new h();i.options=b.extend(true,{},i.options);b[g][f].prototype=b.extend(true,i,{namespace:g,widgetName:f,widgetEventPrefix:b[g][f].prototype.widgetEventPrefix||f,widgetBaseClass:j},e);b.widget.bridge(f,b[g][f])};b.widget.bridge=function(f,e){b.fn[f]=function(i){var g=typeof i==="string",h=Array.prototype.slice.call(arguments,1),j=this;i=!g&&h.length?b.extend.apply(null,[true,i].concat(h)):i;if(g&&i.charAt(0)==="_"){return j}if(g){this.each(function(){var k=b.data(this,f),l=k&&b.isFunction(k[i])?k[i].apply(k,h):k;if(l!==k&&l!==d){j=l;return false}})}else{this.each(function(){var k=b.data(this,f);if(k){k.option(i||{})._init()}else{b.data(this,f,new e(i,this))}})}return j}};b.Widget=function(e,f){if(arguments.length){this._createWidget(e,f)}};b.Widget.prototype={widgetName:"widget",widgetEventPrefix:"",options:{disabled:false},_createWidget:function(f,g){b.data(g,this.widgetName,this);this.element=b(g);this.options=b.extend(true,{},this.options,this._getCreateOptions(),f);var e=this;this.element.bind("remove."+this.widgetName,function(){e.destroy()});this._create();this._trigger("create");this._init()},_getCreateOptions:function(){return b.metadata&&b.metadata.get(this.element[0])[this.widgetName]},_create:function(){},_init:function(){},destroy:function(){this.element.unbind("."+this.widgetName).removeData(this.widgetName);this.widget().unbind("."+this.widgetName).removeAttr("aria-disabled").removeClass(this.widgetBaseClass+"-disabled ui-state-disabled")},widget:function(){return this.element},option:function(f,g){var e=f;if(arguments.length===0){return b.extend({},this.options)}if(typeof f==="string"){if(g===d){return this.options[f]}e={};e[f]=g}this._setOptions(e);return this},_setOptions:function(f){var e=this;b.each(f,function(g,h){e._setOption(g,h)});return this},_setOption:function(e,f){this.options[e]=f;if(e==="disabled"){this.widget()[f?"addClass":"removeClass"](this.widgetBaseClass+"-disabled ui-state-disabled").attr("aria-disabled",f)}return this},enable:function(){return this._setOption("disabled",false)},disable:function(){return this._setOption("disabled",true)},_trigger:function(e,f,g){var j,i,h=this.options[e];g=g||{};f=b.Event(f);f.type=(e===this.widgetEventPrefix?e:this.widgetEventPrefix+e).toLowerCase();f.target=this.element[0];i=f.originalEvent;if(i){for(j in i){if(!(j in f)){f[j]=i[j]}}}this.element.trigger(f,g);return !(b.isFunction(h)&&h.call(this.element[0],f,g)===false||f.isDefaultPrevented())}}})(jQuery);/*!
+ * jQuery UI Mouse 1.8.18
+ *
+ * Copyright 2011, AUTHORS.txt (http://jqueryui.com/about)
+ * Dual licensed under the MIT or GPL Version 2 licenses.
+ * http://jquery.org/license
+ *
+ * http://docs.jquery.com/UI/Mouse
+ *
+ * Depends:
+ * jquery.ui.widget.js
+ */
+(function(b,c){var a=false;b(document).mouseup(function(d){a=false});b.widget("ui.mouse",{options:{cancel:":input,option",distance:1,delay:0},_mouseInit:function(){var d=this;this.element.bind("mousedown."+this.widgetName,function(e){return d._mouseDown(e)}).bind("click."+this.widgetName,function(e){if(true===b.data(e.target,d.widgetName+".preventClickEvent")){b.removeData(e.target,d.widgetName+".preventClickEvent");e.stopImmediatePropagation();return false}});this.started=false},_mouseDestroy:function(){this.element.unbind("."+this.widgetName)},_mouseDown:function(f){if(a){return}(this._mouseStarted&&this._mouseUp(f));this._mouseDownEvent=f;var e=this,g=(f.which==1),d=(typeof this.options.cancel=="string"&&f.target.nodeName?b(f.target).closest(this.options.cancel).length:false);if(!g||d||!this._mouseCapture(f)){return true}this.mouseDelayMet=!this.options.delay;if(!this.mouseDelayMet){this._mouseDelayTimer=setTimeout(function(){e.mouseDelayMet=true},this.options.delay)}if(this._mouseDistanceMet(f)&&this._mouseDelayMet(f)){this._mouseStarted=(this._mouseStart(f)!==false);if(!this._mouseStarted){f.preventDefault();return true}}if(true===b.data(f.target,this.widgetName+".preventClickEvent")){b.removeData(f.target,this.widgetName+".preventClickEvent")}this._mouseMoveDelegate=function(h){return e._mouseMove(h)};this._mouseUpDelegate=function(h){return e._mouseUp(h)};b(document).bind("mousemove."+this.widgetName,this._mouseMoveDelegate).bind("mouseup."+this.widgetName,this._mouseUpDelegate);f.preventDefault();a=true;return true},_mouseMove:function(d){if(b.browser.msie&&!(document.documentMode>=9)&&!d.button){return this._mouseUp(d)}if(this._mouseStarted){this._mouseDrag(d);return d.preventDefault()}if(this._mouseDistanceMet(d)&&this._mouseDelayMet(d)){this._mouseStarted=(this._mouseStart(this._mouseDownEvent,d)!==false);(this._mouseStarted?this._mouseDrag(d):this._mouseUp(d))}return !this._mouseStarted},_mouseUp:function(d){b(document).unbind("mousemove."+this.widgetName,this._mouseMoveDelegate).unbind("mouseup."+this.widgetName,this._mouseUpDelegate);if(this._mouseStarted){this._mouseStarted=false;if(d.target==this._mouseDownEvent.target){b.data(d.target,this.widgetName+".preventClickEvent",true)}this._mouseStop(d)}return false},_mouseDistanceMet:function(d){return(Math.max(Math.abs(this._mouseDownEvent.pageX-d.pageX),Math.abs(this._mouseDownEvent.pageY-d.pageY))>=this.options.distance)},_mouseDelayMet:function(d){return this.mouseDelayMet},_mouseStart:function(d){},_mouseDrag:function(d){},_mouseStop:function(d){},_mouseCapture:function(d){return true}})})(jQuery);(function(c,d){c.widget("ui.resizable",c.ui.mouse,{widgetEventPrefix:"resize",options:{alsoResize:false,animate:false,animateDuration:"slow",animateEasing:"swing",aspectRatio:false,autoHide:false,containment:false,ghost:false,grid:false,handles:"e,s,se",helper:false,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:1000},_create:function(){var f=this,k=this.options;this.element.addClass("ui-resizable");c.extend(this,{_aspectRatio:!!(k.aspectRatio),aspectRatio:k.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:k.helper||k.ghost||k.animate?k.helper||"ui-resizable-helper":null});if(this.element[0].nodeName.match(/canvas|textarea|input|select|button|img/i)){this.element.wrap(c('<div class="ui-wrapper" style="overflow: hidden;"></div>').css({position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")}));this.element=this.element.parent().data("resizable",this.element.data("resizable"));this.elementIsWrapper=true;this.element.css({marginLeft:this.originalElement.css("marginLeft"),marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom")});this.originalElement.css({marginLeft:0,marginTop:0,marginRight:0,marginBottom:0});this.originalResizeStyle=this.originalElement.css("resize");this.originalElement.css("resize","none");this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"}));this.originalElement.css({margin:this.originalElement.css("margin")});this._proportionallyResize()}this.handles=k.handles||(!c(".ui-resizable-handle",this.element).length?"e,s,se":{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"});if(this.handles.constructor==String){if(this.handles=="all"){this.handles="n,e,s,w,se,sw,ne,nw"}var l=this.handles.split(",");this.handles={};for(var g=0;g<l.length;g++){var j=c.trim(l[g]),e="ui-resizable-"+j;var h=c('<div class="ui-resizable-handle '+e+'"></div>');if(/sw|se|ne|nw/.test(j)){h.css({zIndex:++k.zIndex})}if("se"==j){h.addClass("ui-icon ui-icon-gripsmall-diagonal-se")}this.handles[j]=".ui-resizable-"+j;this.element.append(h)}}this._renderAxis=function(q){q=q||this.element;for(var n in this.handles){if(this.handles[n].constructor==String){this.handles[n]=c(this.handles[n],this.element).show()}if(this.elementIsWrapper&&this.originalElement[0].nodeName.match(/textarea|input|select|button/i)){var o=c(this.handles[n],this.element),p=0;p=/sw|ne|nw|se|n|s/.test(n)?o.outerHeight():o.outerWidth();var m=["padding",/ne|nw|n/.test(n)?"Top":/se|sw|s/.test(n)?"Bottom":/^e$/.test(n)?"Right":"Left"].join("");q.css(m,p);this._proportionallyResize()}if(!c(this.handles[n]).length){continue}}};this._renderAxis(this.element);this._handles=c(".ui-resizable-handle",this.element).disableSelection();this._handles.mouseover(function(){if(!f.resizing){if(this.className){var i=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)}f.axis=i&&i[1]?i[1]:"se"}});if(k.autoHide){this._handles.hide();c(this.element).addClass("ui-resizable-autohide").hover(function(){if(k.disabled){return}c(this).removeClass("ui-resizable-autohide");f._handles.show()},function(){if(k.disabled){return}if(!f.resizing){c(this).addClass("ui-resizable-autohide");f._handles.hide()}})}this._mouseInit()},destroy:function(){this._mouseDestroy();var e=function(g){c(g).removeClass("ui-resizable ui-resizable-disabled ui-resizable-resizing").removeData("resizable").unbind(".resizable").find(".ui-resizable-handle").remove()};if(this.elementIsWrapper){e(this.element);var f=this.element;f.after(this.originalElement.css({position:f.css("position"),width:f.outerWidth(),height:f.outerHeight(),top:f.css("top"),left:f.css("left")})).remove()}this.originalElement.css("resize",this.originalResizeStyle);e(this.originalElement);return this},_mouseCapture:function(f){var g=false;for(var e in this.handles){if(c(this.handles[e])[0]==f.target){g=true}}return !this.options.disabled&&g},_mouseStart:function(g){var j=this.options,f=this.element.position(),e=this.element;this.resizing=true;this.documentScroll={top:c(document).scrollTop(),left:c(document).scrollLeft()};if(e.is(".ui-draggable")||(/absolute/).test(e.css("position"))){e.css({position:"absolute",top:f.top,left:f.left})}this._renderProxy();var k=b(this.helper.css("left")),h=b(this.helper.css("top"));if(j.containment){k+=c(j.containment).scrollLeft()||0;h+=c(j.containment).scrollTop()||0}this.offset=this.helper.offset();this.position={left:k,top:h};this.size=this._helper?{width:e.outerWidth(),height:e.outerHeight()}:{width:e.width(),height:e.height()};this.originalSize=this._helper?{width:e.outerWidth(),height:e.outerHeight()}:{width:e.width(),height:e.height()};this.originalPosition={left:k,top:h};this.sizeDiff={width:e.outerWidth()-e.width(),height:e.outerHeight()-e.height()};this.originalMousePosition={left:g.pageX,top:g.pageY};this.aspectRatio=(typeof j.aspectRatio=="number")?j.aspectRatio:((this.originalSize.width/this.originalSize.height)||1);var i=c(".ui-resizable-"+this.axis).css("cursor");c("body").css("cursor",i=="auto"?this.axis+"-resize":i);e.addClass("ui-resizable-resizing");this._propagate("start",g);return true},_mouseDrag:function(e){var h=this.helper,g=this.options,m={},q=this,j=this.originalMousePosition,n=this.axis;var r=(e.pageX-j.left)||0,p=(e.pageY-j.top)||0;var i=this._change[n];if(!i){return false}var l=i.apply(this,[e,r,p]),k=c.browser.msie&&c.browser.version<7,f=this.sizeDiff;this._updateVirtualBoundaries(e.shiftKey);if(this._aspectRatio||e.shiftKey){l=this._updateRatio(l,e)}l=this._respectSize(l,e);this._propagate("resize",e);h.css({top:this.position.top+"px",left:this.position.left+"px",width:this.size.width+"px",height:this.size.height+"px"});if(!this._helper&&this._proportionallyResizeElements.length){this._proportionallyResize()}this._updateCache(l);this._trigger("resize",e,this.ui());return false},_mouseStop:function(h){this.resizing=false;var i=this.options,m=this;if(this._helper){var g=this._proportionallyResizeElements,e=g.length&&(/textarea/i).test(g[0].nodeName),f=e&&c.ui.hasScroll(g[0],"left")?0:m.sizeDiff.height,k=e?0:m.sizeDiff.width;var n={width:(m.helper.width()-k),height:(m.helper.height()-f)},j=(parseInt(m.element.css("left"),10)+(m.position.left-m.originalPosition.left))||null,l=(parseInt(m.element.css("top"),10)+(m.position.top-m.originalPosition.top))||null;if(!i.animate){this.element.css(c.extend(n,{top:l,left:j}))}m.helper.height(m.size.height);m.helper.width(m.size.width);if(this._helper&&!i.animate){this._proportionallyResize()}}c("body").css("cursor","auto");this.element.removeClass("ui-resizable-resizing");this._propagate("stop",h);if(this._helper){this.helper.remove()}return false},_updateVirtualBoundaries:function(g){var j=this.options,i,h,f,k,e;e={minWidth:a(j.minWidth)?j.minWidth:0,maxWidth:a(j.maxWidth)?j.maxWidth:Infinity,minHeight:a(j.minHeight)?j.minHeight:0,maxHeight:a(j.maxHeight)?j.maxHeight:Infinity};if(this._aspectRatio||g){i=e.minHeight*this.aspectRatio;f=e.minWidth/this.aspectRatio;h=e.maxHeight*this.aspectRatio;k=e.maxWidth/this.aspectRatio;if(i>e.minWidth){e.minWidth=i}if(f>e.minHeight){e.minHeight=f}if(h<e.maxWidth){e.maxWidth=h}if(k<e.maxHeight){e.maxHeight=k}}this._vBoundaries=e},_updateCache:function(e){var f=this.options;this.offset=this.helper.offset();if(a(e.left)){this.position.left=e.left}if(a(e.top)){this.position.top=e.top}if(a(e.height)){this.size.height=e.height}if(a(e.width)){this.size.width=e.width}},_updateRatio:function(h,g){var i=this.options,j=this.position,f=this.size,e=this.axis;if(a(h.height)){h.width=(h.height*this.aspectRatio)}else{if(a(h.width)){h.height=(h.width/this.aspectRatio)}}if(e=="sw"){h.left=j.left+(f.width-h.width);h.top=null}if(e=="nw"){h.top=j.top+(f.height-h.height);h.left=j.left+(f.width-h.width)}return h},_respectSize:function(l,g){var j=this.helper,i=this._vBoundaries,r=this._aspectRatio||g.shiftKey,q=this.axis,t=a(l.width)&&i.maxWidth&&(i.maxWidth<l.width),m=a(l.height)&&i.maxHeight&&(i.maxHeight<l.height),h=a(l.width)&&i.minWidth&&(i.minWidth>l.width),s=a(l.height)&&i.minHeight&&(i.minHeight>l.height);if(h){l.width=i.minWidth}if(s){l.height=i.minHeight}if(t){l.width=i.maxWidth}if(m){l.height=i.maxHeight}var f=this.originalPosition.left+this.originalSize.width,p=this.position.top+this.size.height;var k=/sw|nw|w/.test(q),e=/nw|ne|n/.test(q);if(h&&k){l.left=f-i.minWidth}if(t&&k){l.left=f-i.maxWidth}if(s&&e){l.top=p-i.minHeight}if(m&&e){l.top=p-i.maxHeight}var n=!l.width&&!l.height;if(n&&!l.left&&l.top){l.top=null}else{if(n&&!l.top&&l.left){l.left=null}}return l},_proportionallyResize:function(){var k=this.options;if(!this._proportionallyResizeElements.length){return}var g=this.helper||this.element;for(var f=0;f<this._proportionallyResizeElements.length;f++){var h=this._proportionallyResizeElements[f];if(!this.borderDif){var e=[h.css("borderTopWidth"),h.css("borderRightWidth"),h.css("borderBottomWidth"),h.css("borderLeftWidth")],j=[h.css("paddingTop"),h.css("paddingRight"),h.css("paddingBottom"),h.css("paddingLeft")];this.borderDif=c.map(e,function(l,n){var m=parseInt(l,10)||0,o=parseInt(j[n],10)||0;return m+o})}if(c.browser.msie&&!(!(c(g).is(":hidden")||c(g).parents(":hidden").length))){continue}h.css({height:(g.height()-this.borderDif[0]-this.borderDif[2])||0,width:(g.width()-this.borderDif[1]-this.borderDif[3])||0})}},_renderProxy:function(){var f=this.element,i=this.options;this.elementOffset=f.offset();if(this._helper){this.helper=this.helper||c('<div style="overflow:hidden;"></div>');var e=c.browser.msie&&c.browser.version<7,g=(e?1:0),h=(e?2:-1);this.helper.addClass(this._helper).css({width:this.element.outerWidth()+h,height:this.element.outerHeight()+h,position:"absolute",left:this.elementOffset.left-g+"px",top:this.elementOffset.top-g+"px",zIndex:++i.zIndex});this.helper.appendTo("body").disableSelection()}else{this.helper=this.element}},_change:{e:function(g,f,e){return{width:this.originalSize.width+f}},w:function(h,f,e){var j=this.options,g=this.originalSize,i=this.originalPosition;return{left:i.left+f,width:g.width-f}},n:function(h,f,e){var j=this.options,g=this.originalSize,i=this.originalPosition;return{top:i.top+e,height:g.height-e}},s:function(g,f,e){return{height:this.originalSize.height+e}},se:function(g,f,e){return c.extend(this._change.s.apply(this,arguments),this._change.e.apply(this,[g,f,e]))},sw:function(g,f,e){return c.extend(this._change.s.apply(this,arguments),this._change.w.apply(this,[g,f,e]))},ne:function(g,f,e){return c.extend(this._change.n.apply(this,arguments),this._change.e.apply(this,[g,f,e]))},nw:function(g,f,e){return c.extend(this._change.n.apply(this,arguments),this._change.w.apply(this,[g,f,e]))}},_propagate:function(f,e){c.ui.plugin.call(this,f,[e,this.ui()]);(f!="resize"&&this._trigger(f,e,this.ui()))},plugins:{},ui:function(){return{originalElement:this.originalElement,element:this.element,helper:this.helper,position:this.position,size:this.size,originalSize:this.originalSize,originalPosition:this.originalPosition}}});c.extend(c.ui.resizable,{version:"1.8.18"});c.ui.plugin.add("resizable","alsoResize",{start:function(f,g){var e=c(this).data("resizable"),i=e.options;var h=function(j){c(j).each(function(){var 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diff --git a/docs/NN/html/modules.html b/docs/NN/html/modules.html
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+<!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"/>
+<title>Reference</title>
+<title>CMSIS-NN: Reference</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<link href="cmsis.css" rel="stylesheet" type="text/css" />
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="printComponentTabs.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
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+ $(document).ready(initResizable);
+ $(window).load(resizeHeight);
+</script>
+<link href="search/search.css" rel="stylesheet" type="text/css"/>
+<script type="text/javascript" src="search/search.js"></script>
+<script type="text/javascript">
+ $(document).ready(function() { searchBox.OnSelectItem(0); });
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+<div id="top"><!-- do not remove this div, it is closed by doxygen! -->
+<div id="titlearea">
+<table cellspacing="0" cellpadding="0">
+ <tbody>
+ <tr style="height: 46px;">
+ <td id="projectlogo"><img alt="Logo" src="CMSIS_Logo_Final.png"/></td>
+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
+ </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<div id="CMSISnav" class="tabs1">
+ <ul class="tablist">
+ <script type="text/javascript">
+ <!--
+ writeComponentTabs.call(this);
+ //-->
+ </script>
+ </ul>
+</div>
+<!-- Generated by Doxygen 1.8.6 -->
+<script type="text/javascript">
+var searchBox = new SearchBox("searchBox", "search",false,'Search');
+</script>
+ <div id="navrow1" class="tabs">
+ <ul class="tablist">
+ <li><a href="index.html"><span>Main&#160;Page</span></a></li>
+ <li><a href="pages.html"><span>Usage&#160;and&#160;Description</span></a></li>
+ <li class="current"><a href="modules.html"><span>Reference</span></a></li>
+ <li>
+ <div id="MSearchBox" class="MSearchBoxInactive">
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+ </span><span class="right">
+ <a id="MSearchClose" href="javascript:searchBox.CloseResultsWindow()"><img id="MSearchCloseImg" border="0" src="search/close.png" alt=""/></a>
+ </span>
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+ </li>
+ </ul>
+ </div>
+</div><!-- top -->
+<div id="side-nav" class="ui-resizable side-nav-resizable">
+ <div id="nav-tree">
+ <div id="nav-tree-contents">
+ <div id="nav-sync" class="sync"></div>
+ </div>
+ </div>
+ <div id="splitbar" style="-moz-user-select:none;"
+ class="ui-resizable-handle">
+ </div>
+</div>
+<script type="text/javascript">
+$(document).ready(function(){initNavTree('modules.html','');});
+</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)">
+<a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(0)"><span class="SelectionMark">&#160;</span>All</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(1)"><span class="SelectionMark">&#160;</span>Data Structures</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(2)"><span class="SelectionMark">&#160;</span>Namespaces</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(3)"><span class="SelectionMark">&#160;</span>Files</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(4)"><span class="SelectionMark">&#160;</span>Functions</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(5)"><span class="SelectionMark">&#160;</span>Variables</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(6)"><span class="SelectionMark">&#160;</span>Enumerations</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(7)"><span class="SelectionMark">&#160;</span>Enumerator</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(8)"><span class="SelectionMark">&#160;</span>Macros</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(9)"><span class="SelectionMark">&#160;</span>Groups</a><a class="SelectItem" href="javascript:void(0)" onclick="searchBox.OnSelectItem(10)"><span class="SelectionMark">&#160;</span>Pages</a></div>
+
+<!-- iframe showing the search results (closed by default) -->
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+<div class="header">
+ <div class="headertitle">
+<div class="title">Reference</div> </div>
+</div><!--header-->
+<div class="contents">
+<div class="textblock">Here is a list of all modules:</div><div class="directory">
+<div class="levels">[detail level <span onclick="javascript:toggleLevel(1);">1</span><span onclick="javascript:toggleLevel(2);">2</span>]</div><table class="directory">
+<tr id="row_0_" class="even"><td class="entry"><img src="ftv2node.png" alt="o" width="16" height="22" /><a class="el" href="group__CNNExample.html" target="_self">Convolutional Neural Network Example</a></td><td class="desc"></td></tr>
+<tr id="row_1_"><td class="entry"><img src="ftv2node.png" alt="o" width="16" height="22" /><a class="el" href="group__GRUExample.html" target="_self">Gated Recurrent Unit Example</a></td><td class="desc"></td></tr>
+<tr id="row_2_" class="even"><td class="entry"><img id="arr_2_" src="ftv2mnode.png" alt="o" width="16" height="22" onclick="toggleFolder('2_')"/><a class="el" href="group__groupNN.html" target="_self">Neural Network Functions</a></td><td class="desc"></td></tr>
+<tr id="row_2_0_"><td class="entry"><img src="ftv2vertline.png" alt="|" width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><a class="el" href="group__Acti.html" target="_self">Neural Network Activation Functions</a></td><td class="desc"></td></tr>
+<tr id="row_2_1_" class="even"><td class="entry"><img src="ftv2vertline.png" alt="|" width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><a class="el" href="group__NNConv.html" target="_self">Neural Network Convolution Functions</a></td><td class="desc"></td></tr>
+<tr id="row_2_2_"><td class="entry"><img src="ftv2vertline.png" alt="|" width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><a class="el" href="group__FC.html" target="_self">Fully-connected Layer Functions</a></td><td class="desc"></td></tr>
+<tr id="row_2_3_" class="even"><td class="entry"><img src="ftv2vertline.png" alt="|" width="16" height="22" /><img src="ftv2node.png" alt="o" width="16" height="22" /><a class="el" href="group__Pooling.html" target="_self">Neural Network Pooling Functions</a></td><td class="desc"></td></tr>
+<tr id="row_2_4_"><td class="entry"><img src="ftv2vertline.png" alt="|" width="16" height="22" /><img src="ftv2lastnode.png" alt="\" width="16" height="22" /><a class="el" href="group__Softmax.html" target="_self">Softmax Functions</a></td><td class="desc"></td></tr>
+<tr id="row_3_" class="even"><td class="entry"><img src="ftv2node.png" alt="o" width="16" height="22" /><a class="el" href="group__nndata__convert.html" target="_self">Neural Network Data Conversion Functions</a></td><td class="desc"></td></tr>
+<tr id="row_4_"><td class="entry"><img src="ftv2lastnode.png" alt="\" width="16" height="22" /><a class="el" href="group__NNBasicMath.html" target="_self">Basic Math Functions for Neural Network Computation</a></td><td class="desc"></td></tr>
+</table>
+</div><!-- directory -->
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+ <ul>
+ <li class="footer">Generated on Wed Aug 1 2018 17:12:32 for CMSIS-NN by Arm Ltd. All rights reserved.
+ <!--
+ <a href="http://www.doxygen.org/index.html">
+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6
+ -->
+ </li>
+ </ul>
+</div>
+</body>
+</html>
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+++ b/docs/NN/html/modules.js
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+var modules =
+[
+ [ "Convolutional Neural Network Example", "group__CNNExample.html", null ],
+ [ "Gated Recurrent Unit Example", "group__GRUExample.html", null ],
+ [ "Neural Network Functions", "group__groupNN.html", "group__groupNN" ],
+ [ "Neural Network Data Conversion Functions", "group__nndata__convert.html", "group__nndata__convert" ],
+ [ "Basic Math Functions for Neural Network Computation", "group__NNBasicMath.html", "group__NNBasicMath" ]
+]; \ No newline at end of file
diff --git a/docs/NN/html/namespacemembers.html b/docs/NN/html/namespacemembers.html
new file mode 100644
index 0000000..403dcf2
--- /dev/null
+++ b/docs/NN/html/namespacemembers.html
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+<!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"/>
+<title>Namespace Members</title>
+<title>CMSIS-NN: Namespace Members</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<link href="cmsis.css" rel="stylesheet" type="text/css" />
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
+<script type="text/javascript" src="printComponentTabs.js"></script>
+<link href="navtree.css" rel="stylesheet" type="text/css"/>
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+ <tbody>
+ <tr style="height: 46px;">
+ <td id="projectlogo"><img alt="Logo" src="CMSIS_Logo_Final.png"/></td>
+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
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+ <div id="projectbrief">CMSIS NN Software Library</div>
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+ <li class="current"><a href="namespacemembers.html"><span>All</span></a></li>
+ <li><a href="namespacemembers_func.html"><span>Functions</span></a></li>
+ <li><a href="namespacemembers_vars.html"><span>Variables</span></a></li>
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+<li>convert_q7_q15_weights()
+: <a class="el" href="namespacepara__gen.html#a75db0b43a1b942aa87ff10fd3b73dc8d">para_gen</a>
+</li>
+<li>convert_to_x4_weights()
+: <a class="el" href="namespacepara__gen.html#ab7f5de20ae32542da9f83a8e99850722">para_gen</a>
+</li>
+<li>hidden_bias
+: <a class="el" href="namespacepara__gen.html#a0f6c4400e131b103d2fd89e420d6c308">para_gen</a>
+</li>
+<li>hidden_weight
+: <a class="el" href="namespacepara__gen.html#a1a6edb73b72a6bbf443e6e450186660c">para_gen</a>
+</li>
+<li>history_data
+: <a class="el" href="namespacepara__gen.html#acdb294668ecca9a6f849afa4156883cd">para_gen</a>
+</li>
+<li>input_data1
+: <a class="el" href="namespacepara__gen.html#a845220c0c6574ced6cdaf7b1d2983d6d">para_gen</a>
+</li>
+<li>input_data2
+: <a class="el" href="namespacepara__gen.html#acb820c3015e6a212ad2fe82f7939965a">para_gen</a>
+</li>
+<li>new_weight
+: <a class="el" href="namespacepara__gen.html#aead9af07b473ce5bbd93619e3319355c">para_gen</a>
+</li>
+<li>outfile
+: <a class="el" href="namespacepara__gen.html#a2e1a6685422a591fcb7801e9fd8ad574">para_gen</a>
+</li>
+<li>reset_bias
+: <a class="el" href="namespacepara__gen.html#a3da798c88974b5d760f3e97288a0c490">para_gen</a>
+</li>
+<li>reset_weight
+: <a class="el" href="namespacepara__gen.html#a4ebba057829420c878a0a29ee9c71582">para_gen</a>
+</li>
+<li>row_dim
+: <a class="el" href="namespacepara__gen.html#a26cc0a96186b2e6b238d783d9364f14d">para_gen</a>
+</li>
+<li>update_bias
+: <a class="el" href="namespacepara__gen.html#a3b9bab83acf3b4296f46165da08ddbc9">para_gen</a>
+</li>
+<li>update_weight
+: <a class="el" href="namespacepara__gen.html#ab8ce9efdee9cd118a25831839f9c5943">para_gen</a>
+</li>
+<li>vec_dim
+: <a class="el" href="namespacepara__gen.html#ad97bcbf0472c82d537ee41c0196e3b2a">para_gen</a>
+</li>
+<li>weight
+: <a class="el" href="namespacepara__gen.html#af3dbe004474bc66ad55591f470ff008c">para_gen</a>
+</li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+ <ul>
+ <li class="footer">Generated on Wed Aug 1 2018 17:12:32 for CMSIS-NN by Arm Ltd. All rights reserved.
+ <!--
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+<head>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta http-equiv="X-UA-Compatible" content="IE=9"/>
+<title>Namespace Members</title>
+<title>CMSIS-NN: Namespace Members</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<link href="cmsis.css" rel="stylesheet" type="text/css" />
+<script type="text/javascript" src="jquery.js"></script>
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+<script type="text/javascript" src="printComponentTabs.js"></script>
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+<script type="text/javascript">
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+</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: 46px;">
+ <td id="projectlogo"><img alt="Logo" src="CMSIS_Logo_Final.png"/></td>
+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
+ </td>
+ </tr>
+ </tbody>
+</table>
+</div>
+<!-- end header part -->
+<div id="CMSISnav" class="tabs1">
+ <ul class="tablist">
+ <script type="text/javascript">
+ <!--
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+ <li><a href="pages.html"><span>Usage&#160;and&#160;Description</span></a></li>
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+<li>convert_q7_q15_weights()
+: <a class="el" href="namespacepara__gen.html#a75db0b43a1b942aa87ff10fd3b73dc8d">para_gen</a>
+</li>
+<li>convert_to_x4_weights()
+: <a class="el" href="namespacepara__gen.html#ab7f5de20ae32542da9f83a8e99850722">para_gen</a>
+</li>
+</ul>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
+ <ul>
+ <li class="footer">Generated on Wed Aug 1 2018 17:12:32 for CMSIS-NN by Arm Ltd. All rights reserved.
+ <!--
+ <a href="http://www.doxygen.org/index.html">
+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6
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+<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"/>
+<title>Namespace Members</title>
+<title>CMSIS-NN: Namespace Members</title>
+<link href="tabs.css" rel="stylesheet" type="text/css"/>
+<link href="cmsis.css" rel="stylesheet" type="text/css" />
+<script type="text/javascript" src="jquery.js"></script>
+<script type="text/javascript" src="dynsections.js"></script>
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+<script type="text/javascript">
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+<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: 46px;">
+ <td id="projectlogo"><img alt="Logo" src="CMSIS_Logo_Final.png"/></td>
+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
+ </td>
+ </tr>
+ </tbody>
+</table>
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+ <ul class="tablist">
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+<li>hidden_bias
+: <a class="el" href="namespacepara__gen.html#a0f6c4400e131b103d2fd89e420d6c308">para_gen</a>
+</li>
+<li>hidden_weight
+: <a class="el" href="namespacepara__gen.html#a1a6edb73b72a6bbf443e6e450186660c">para_gen</a>
+</li>
+<li>history_data
+: <a class="el" href="namespacepara__gen.html#acdb294668ecca9a6f849afa4156883cd">para_gen</a>
+</li>
+<li>input_data1
+: <a class="el" href="namespacepara__gen.html#a845220c0c6574ced6cdaf7b1d2983d6d">para_gen</a>
+</li>
+<li>input_data2
+: <a class="el" href="namespacepara__gen.html#acb820c3015e6a212ad2fe82f7939965a">para_gen</a>
+</li>
+<li>new_weight
+: <a class="el" href="namespacepara__gen.html#aead9af07b473ce5bbd93619e3319355c">para_gen</a>
+</li>
+<li>outfile
+: <a class="el" href="namespacepara__gen.html#a2e1a6685422a591fcb7801e9fd8ad574">para_gen</a>
+</li>
+<li>reset_bias
+: <a class="el" href="namespacepara__gen.html#a3da798c88974b5d760f3e97288a0c490">para_gen</a>
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+: <a class="el" href="namespacepara__gen.html#a4ebba057829420c878a0a29ee9c71582">para_gen</a>
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+: <a class="el" href="namespacepara__gen.html#a3b9bab83acf3b4296f46165da08ddbc9">para_gen</a>
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+: <a class="el" href="namespacepara__gen.html#ab8ce9efdee9cd118a25831839f9c5943">para_gen</a>
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+<li>vec_dim
+: <a class="el" href="namespacepara__gen.html#ad97bcbf0472c82d537ee41c0196e3b2a">para_gen</a>
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+: <a class="el" href="namespacepara__gen.html#af3dbe004474bc66ad55591f470ff008c">para_gen</a>
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+ <td style="padding-left: 0.5em;">
+ <div id="projectname">CMSIS-NN
+ &#160;<span id="projectnumber">Version 1.1.0</span>
+ </div>
+ <div id="projectbrief">CMSIS NN Software Library</div>
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+</div><!-- contents -->
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diff --git a/docs/NN/html/namespaces.html b/docs/NN/html/namespaces.html
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+// Search script generated by doxygen
+// Copyright (C) 2009 by Dimitri van Heesch.
+
+// The code in this file is loosly based on main.js, part of Natural Docs,
+// which is Copyright (C) 2003-2008 Greg Valure
+// Natural Docs is licensed under the GPL.
+
+var indexSectionsWithContent =
+{
+ 0: "abcdfghimnoprstuvw",
+ 1: "a",
+ 2: "p",
+ 3: "acghp",
+ 4: "acgm",
+ 5: "bchinorstuvw",
+ 6: "a",
+ 7: "a",
+ 8: "cdhinpru",
+ 9: "bcfgns",
+ 10: "cr"
+};
+
+var indexSectionNames =
+{
+ 0: "all",
+ 1: "classes",
+ 2: "namespaces",
+ 3: "files",
+ 4: "functions",
+ 5: "variables",
+ 6: "enums",
+ 7: "enumvalues",
+ 8: "defines",
+ 9: "groups",
+ 10: "pages"
+};
+
+function convertToId(search)
+{
+ var result = '';
+ for (i=0;i<search.length;i++)
+ {
+ var c = search.charAt(i);
+ var cn = c.charCodeAt(0);
+ if (c.match(/[a-z0-9\u0080-\uFFFF]/))
+ {
+ result+=c;
+ }
+ else if (cn<16)
+ {
+ result+="_0"+cn.toString(16);
+ }
+ else
+ {
+ result+="_"+cn.toString(16);
+ }
+ }
+ return result;
+}
+
+function getXPos(item)
+{
+ var x = 0;
+ if (item.offsetWidth)
+ {
+ while (item && item!=document.body)
+ {
+ x += item.offsetLeft;
+ item = item.offsetParent;
+ }
+ }
+ return x;
+}
+
+function getYPos(item)
+{
+ var y = 0;
+ if (item.offsetWidth)
+ {
+ while (item && item!=document.body)
+ {
+ y += item.offsetTop;
+ item = item.offsetParent;
+ }
+ }
+ return y;
+}
+
+/* A class handling everything associated with the search panel.
+
+ Parameters:
+ name - The name of the global variable that will be
+ storing this instance. Is needed to be able to set timeouts.
+ resultPath - path to use for external files
+*/
+function SearchBox(name, resultsPath, inFrame, label)
+{
+ if (!name || !resultsPath) { alert("Missing parameters to SearchBox."); }
+
+ // ---------- Instance variables
+ this.name = name;
+ this.resultsPath = resultsPath;
+ this.keyTimeout = 0;
+ this.keyTimeoutLength = 500;
+ this.closeSelectionTimeout = 300;
+ this.lastSearchValue = "";
+ this.lastResultsPage = "";
+ this.hideTimeout = 0;
+ this.searchIndex = 0;
+ this.searchActive = false;
+ this.insideFrame = inFrame;
+ this.searchLabel = label;
+
+ // ----------- DOM Elements
+
+ this.DOMSearchField = function()
+ { return document.getElementById("MSearchField"); }
+
+ this.DOMSearchSelect = function()
+ { return document.getElementById("MSearchSelect"); }
+
+ this.DOMSearchSelectWindow = function()
+ { return document.getElementById("MSearchSelectWindow"); }
+
+ this.DOMPopupSearchResults = function()
+ { return document.getElementById("MSearchResults"); }
+
+ this.DOMPopupSearchResultsWindow = function()
+ { return document.getElementById("MSearchResultsWindow"); }
+
+ this.DOMSearchClose = function()
+ { return document.getElementById("MSearchClose"); }
+
+ this.DOMSearchBox = function()
+ { return document.getElementById("MSearchBox"); }
+
+ // ------------ Event Handlers
+
+ // Called when focus is added or removed from the search field.
+ this.OnSearchFieldFocus = function(isActive)
+ {
+ this.Activate(isActive);
+ }
+
+ this.OnSearchSelectShow = function()
+ {
+ var searchSelectWindow = this.DOMSearchSelectWindow();
+ var searchField = this.DOMSearchSelect();
+
+ if (this.insideFrame)
+ {
+ var left = getXPos(searchField);
+ var top = getYPos(searchField);
+ left += searchField.offsetWidth + 6;
+ top += searchField.offsetHeight;
+
+ // show search selection popup
+ searchSelectWindow.style.display='block';
+ left -= searchSelectWindow.offsetWidth;
+ searchSelectWindow.style.left = left + 'px';
+ searchSelectWindow.style.top = top + 'px';
+ }
+ else
+ {
+ var left = getXPos(searchField);
+ var top = getYPos(searchField);
+ top += searchField.offsetHeight;
+
+ // show search selection popup
+ searchSelectWindow.style.display='block';
+ searchSelectWindow.style.left = left + 'px';
+ searchSelectWindow.style.top = top + 'px';
+ }
+
+ // stop selection hide timer
+ if (this.hideTimeout)
+ {
+ clearTimeout(this.hideTimeout);
+ this.hideTimeout=0;
+ }
+ return false; // to avoid "image drag" default event
+ }
+
+ this.OnSearchSelectHide = function()
+ {
+ this.hideTimeout = setTimeout(this.name +".CloseSelectionWindow()",
+ this.closeSelectionTimeout);
+ }
+
+ // Called when the content of the search field is changed.
+ this.OnSearchFieldChange = function(evt)
+ {
+ if (this.keyTimeout) // kill running timer
+ {
+ clearTimeout(this.keyTimeout);
+ this.keyTimeout = 0;
+ }
+
+ var e = (evt) ? evt : window.event; // for IE
+ if (e.keyCode==40 || e.keyCode==13)
+ {
+ if (e.shiftKey==1)
+ {
+ this.OnSearchSelectShow();
+ var win=this.DOMSearchSelectWindow();
+ for (i=0;i<win.childNodes.length;i++)
+ {
+ var child = win.childNodes[i]; // get span within a
+ if (child.className=='SelectItem')
+ {
+ child.focus();
+ return;
+ }
+ }
+ return;
+ }
+ else if (window.frames.MSearchResults.searchResults)
+ {
+ var elem = window.frames.MSearchResults.searchResults.NavNext(0);
+ if (elem) elem.focus();
+ }
+ }
+ else if (e.keyCode==27) // Escape out of the search field
+ {
+ this.DOMSearchField().blur();
+ this.DOMPopupSearchResultsWindow().style.display = 'none';
+ this.DOMSearchClose().style.display = 'none';
+ this.lastSearchValue = '';
+ this.Activate(false);
+ return;
+ }
+
+ // strip whitespaces
+ var searchValue = this.DOMSearchField().value.replace(/ +/g, "");
+
+ if (searchValue != this.lastSearchValue) // search value has changed
+ {
+ if (searchValue != "") // non-empty search
+ {
+ // set timer for search update
+ this.keyTimeout = setTimeout(this.name + '.Search()',
+ this.keyTimeoutLength);
+ }
+ else // empty search field
+ {
+ this.DOMPopupSearchResultsWindow().style.display = 'none';
+ this.DOMSearchClose().style.display = 'none';
+ this.lastSearchValue = '';
+ }
+ }
+ }
+
+ this.SelectItemCount = function(id)
+ {
+ var count=0;
+ var win=this.DOMSearchSelectWindow();
+ for (i=0;i<win.childNodes.length;i++)
+ {
+ var child = win.childNodes[i]; // get span within a
+ if (child.className=='SelectItem')
+ {
+ count++;
+ }
+ }
+ return count;
+ }
+
+ this.SelectItemSet = function(id)
+ {
+ var i,j=0;
+ var win=this.DOMSearchSelectWindow();
+ for (i=0;i<win.childNodes.length;i++)
+ {
+ var child = win.childNodes[i]; // get span within a
+ if (child.className=='SelectItem')
+ {
+ var node = child.firstChild;
+ if (j==id)
+ {
+ node.innerHTML='&#8226;';
+ }
+ else
+ {
+ node.innerHTML='&#160;';
+ }
+ j++;
+ }
+ }
+ }
+
+ // Called when an search filter selection is made.
+ // set item with index id as the active item
+ this.OnSelectItem = function(id)
+ {
+ this.searchIndex = id;
+ this.SelectItemSet(id);
+ var searchValue = this.DOMSearchField().value.replace(/ +/g, "");
+ if (searchValue!="" && this.searchActive) // something was found -> do a search
+ {
+ this.Search();
+ }
+ }
+
+ this.OnSearchSelectKey = function(evt)
+ {
+ var e = (evt) ? evt : window.event; // for IE
+ if (e.keyCode==40 && this.searchIndex<this.SelectItemCount()) // Down
+ {
+ this.searchIndex++;
+ this.OnSelectItem(this.searchIndex);
+ }
+ else if (e.keyCode==38 && this.searchIndex>0) // Up
+ {
+ this.searchIndex--;
+ this.OnSelectItem(this.searchIndex);
+ }
+ else if (e.keyCode==13 || e.keyCode==27)
+ {
+ this.OnSelectItem(this.searchIndex);
+ this.CloseSelectionWindow();
+ this.DOMSearchField().focus();
+ }
+ return false;
+ }
+
+ // --------- Actions
+
+ // Closes the results window.
+ this.CloseResultsWindow = function()
+ {
+ this.DOMPopupSearchResultsWindow().style.display = 'none';
+ this.DOMSearchClose().style.display = 'none';
+ this.Activate(false);
+ }
+
+ this.CloseSelectionWindow = function()
+ {
+ this.DOMSearchSelectWindow().style.display = 'none';
+ }
+
+ // Performs a search.
+ this.Search = function()
+ {
+ this.keyTimeout = 0;
+
+ // strip leading whitespace
+ var searchValue = this.DOMSearchField().value.replace(/^ +/, "");
+
+ var code = searchValue.toLowerCase().charCodeAt(0);
+ var idxChar = searchValue.substr(0, 1).toLowerCase();
+ if ( 0xD800 <= code && code <= 0xDBFF && searchValue > 1) // surrogate pair
+ {
+ idxChar = searchValue.substr(0, 2);
+ }
+
+ var resultsPage;
+ var resultsPageWithSearch;
+ var hasResultsPage;
+
+ var idx = indexSectionsWithContent[this.searchIndex].indexOf(idxChar);
+ if (idx!=-1)
+ {
+ var hexCode=idx.toString(16);
+ resultsPage = this.resultsPath + '/' + indexSectionNames[this.searchIndex] + '_' + hexCode + '.html';
+ resultsPageWithSearch = resultsPage+'?'+escape(searchValue);
+ hasResultsPage = true;
+ }
+ else // nothing available for this search term
+ {
+ resultsPage = this.resultsPath + '/nomatches.html';
+ resultsPageWithSearch = resultsPage;
+ hasResultsPage = false;
+ }
+
+ window.frames.MSearchResults.location = resultsPageWithSearch;
+ var domPopupSearchResultsWindow = this.DOMPopupSearchResultsWindow();
+
+ if (domPopupSearchResultsWindow.style.display!='block')
+ {
+ var domSearchBox = this.DOMSearchBox();
+ this.DOMSearchClose().style.display = 'inline';
+ if (this.insideFrame)
+ {
+ var domPopupSearchResults = this.DOMPopupSearchResults();
+ domPopupSearchResultsWindow.style.position = 'relative';
+ domPopupSearchResultsWindow.style.display = 'block';
+ var width = document.body.clientWidth - 8; // the -8 is for IE :-(
+ domPopupSearchResultsWindow.style.width = width + 'px';
+ domPopupSearchResults.style.width = width + 'px';
+ }
+ else
+ {
+ var domPopupSearchResults = this.DOMPopupSearchResults();
+ var left = getXPos(domSearchBox) + 150; // domSearchBox.offsetWidth;
+ var top = getYPos(domSearchBox) + 20; // domSearchBox.offsetHeight + 1;
+ domPopupSearchResultsWindow.style.display = 'block';
+ left -= domPopupSearchResults.offsetWidth;
+ domPopupSearchResultsWindow.style.top = top + 'px';
+ domPopupSearchResultsWindow.style.left = left + 'px';
+ }
+ }
+
+ this.lastSearchValue = searchValue;
+ this.lastResultsPage = resultsPage;
+ }
+
+ // -------- Activation Functions
+
+ // Activates or deactivates the search panel, resetting things to
+ // their default values if necessary.
+ this.Activate = function(isActive)
+ {
+ if (isActive || // open it
+ this.DOMPopupSearchResultsWindow().style.display == 'block'
+ )
+ {
+ this.DOMSearchBox().className = 'MSearchBoxActive';
+
+ var searchField = this.DOMSearchField();
+
+ if (searchField.value == this.searchLabel) // clear "Search" term upon entry
+ {
+ searchField.value = '';
+ this.searchActive = true;
+ }
+ }
+ else if (!isActive) // directly remove the panel
+ {
+ this.DOMSearchBox().className = 'MSearchBoxInactive';
+ this.DOMSearchField().value = this.searchLabel;
+ this.searchActive = false;
+ this.lastSearchValue = ''
+ this.lastResultsPage = '';
+ }
+ }
+}
+
+// -----------------------------------------------------------------------
+
+// The class that handles everything on the search results page.
+function SearchResults(name)
+{
+ // The number of matches from the last run of <Search()>.
+ this.lastMatchCount = 0;
+ this.lastKey = 0;
+ this.repeatOn = false;
+
+ // Toggles the visibility of the passed element ID.
+ this.FindChildElement = function(id)
+ {
+ var parentElement = document.getElementById(id);
+ var element = parentElement.firstChild;
+
+ while (element && element!=parentElement)
+ {
+ if (element.nodeName == 'DIV' && element.className == 'SRChildren')
+ {
+ return element;
+ }
+
+ if (element.nodeName == 'DIV' && element.hasChildNodes())
+ {
+ element = element.firstChild;
+ }
+ else if (element.nextSibling)
+ {
+ element = element.nextSibling;
+ }
+ else
+ {
+ do
+ {
+ element = element.parentNode;
+ }
+ while (element && element!=parentElement && !element.nextSibling);
+
+ if (element && element!=parentElement)
+ {
+ element = element.nextSibling;
+ }
+ }
+ }
+ }
+
+ this.Toggle = function(id)
+ {
+ var element = this.FindChildElement(id);
+ if (element)
+ {
+ if (element.style.display == 'block')
+ {
+ element.style.display = 'none';
+ }
+ else
+ {
+ element.style.display = 'block';
+ }
+ }
+ }
+
+ // Searches for the passed string. If there is no parameter,
+ // it takes it from the URL query.
+ //
+ // Always returns true, since other documents may try to call it
+ // and that may or may not be possible.
+ this.Search = function(search)
+ {
+ if (!search) // get search word from URL
+ {
+ search = window.location.search;
+ search = search.substring(1); // Remove the leading '?'
+ search = unescape(search);
+ }
+
+ search = search.replace(/^ +/, ""); // strip leading spaces
+ search = search.replace(/ +$/, ""); // strip trailing spaces
+ search = search.toLowerCase();
+ search = convertToId(search);
+
+ var resultRows = document.getElementsByTagName("div");
+ var matches = 0;
+
+ var i = 0;
+ while (i < resultRows.length)
+ {
+ var row = resultRows.item(i);
+ if (row.className == "SRResult")
+ {
+ var rowMatchName = row.id.toLowerCase();
+ rowMatchName = rowMatchName.replace(/^sr\d*_/, ''); // strip 'sr123_'
+
+ if (search.length<=rowMatchName.length &&
+ rowMatchName.substr(0, search.length)==search)
+ {
+ row.style.display = 'block';
+ matches++;
+ }
+ else
+ {
+ row.style.display = 'none';
+ }
+ }
+ i++;
+ }
+ document.getElementById("Searching").style.display='none';
+ if (matches == 0) // no results
+ {
+ document.getElementById("NoMatches").style.display='block';
+ }
+ else // at least one result
+ {
+ document.getElementById("NoMatches").style.display='none';
+ }
+ this.lastMatchCount = matches;
+ return true;
+ }
+
+ // return the first item with index index or higher that is visible
+ this.NavNext = function(index)
+ {
+ var focusItem;
+ while (1)
+ {
+ var focusName = 'Item'+index;
+ focusItem = document.getElementById(focusName);
+ if (focusItem && focusItem.parentNode.parentNode.style.display=='block')
+ {
+ break;
+ }
+ else if (!focusItem) // last element
+ {
+ break;
+ }
+ focusItem=null;
+ index++;
+ }
+ return focusItem;
+ }
+
+ this.NavPrev = function(index)
+ {
+ var focusItem;
+ while (1)
+ {
+ var focusName = 'Item'+index;
+ focusItem = document.getElementById(focusName);
+ if (focusItem && focusItem.parentNode.parentNode.style.display=='block')
+ {
+ break;
+ }
+ else if (!focusItem) // last element
+ {
+ break;
+ }
+ focusItem=null;
+ index--;
+ }
+ return focusItem;
+ }
+
+ this.ProcessKeys = function(e)
+ {
+ if (e.type == "keydown")
+ {
+ this.repeatOn = false;
+ this.lastKey = e.keyCode;
+ }
+ else if (e.type == "keypress")
+ {
+ if (!this.repeatOn)
+ {
+ if (this.lastKey) this.repeatOn = true;
+ return false; // ignore first keypress after keydown
+ }
+ }
+ else if (e.type == "keyup")
+ {
+ this.lastKey = 0;
+ this.repeatOn = false;
+ }
+ return this.lastKey!=0;
+ }
+
+ this.Nav = function(evt,itemIndex)
+ {
+ var e = (evt) ? evt : window.event; // for IE
+ if (e.keyCode==13) return true;
+ if (!this.ProcessKeys(e)) return false;
+
+ if (this.lastKey==38) // Up
+ {
+ var newIndex = itemIndex-1;
+ var focusItem = this.NavPrev(newIndex);
+ if (focusItem)
+ {
+ var child = this.FindChildElement(focusItem.parentNode.parentNode.id);
+ if (child && child.style.display == 'block') // children visible
+ {
+ var n=0;
+ var tmpElem;
+ while (1) // search for last child
+ {
+ tmpElem = document.getElementById('Item'+newIndex+'_c'+n);
+ if (tmpElem)
+ {
+ focusItem = tmpElem;
+ }
+ else // found it!
+ {
+ break;
+ }
+ n++;
+ }
+ }
+ }
+ if (focusItem)
+ {
+ focusItem.focus();
+ }
+ else // return focus to search field
+ {
+ parent.document.getElementById("MSearchField").focus();
+ }
+ }
+ else if (this.lastKey==40) // Down
+ {
+ var newIndex = itemIndex+1;
+ var focusItem;
+ var item = document.getElementById('Item'+itemIndex);
+ var elem = this.FindChildElement(item.parentNode.parentNode.id);
+ if (elem && elem.style.display == 'block') // children visible
+ {
+ focusItem = document.getElementById('Item'+itemIndex+'_c0');
+ }
+ if (!focusItem) focusItem = this.NavNext(newIndex);
+ if (focusItem) focusItem.focus();
+ }
+ else if (this.lastKey==39) // Right
+ {
+ var item = document.getElementById('Item'+itemIndex);
+ var elem = this.FindChildElement(item.parentNode.parentNode.id);
+ if (elem) elem.style.display = 'block';
+ }
+ else if (this.lastKey==37) // Left
+ {
+ var item = document.getElementById('Item'+itemIndex);
+ var elem = this.FindChildElement(item.parentNode.parentNode.id);
+ if (elem) elem.style.display = 'none';
+ }
+ else if (this.lastKey==27) // Escape
+ {
+ parent.searchBox.CloseResultsWindow();
+ parent.document.getElementById("MSearchField").focus();
+ }
+ else if (this.lastKey==13) // Enter
+ {
+ return true;
+ }
+ return false;
+ }
+
+ this.NavChild = function(evt,itemIndex,childIndex)
+ {
+ var e = (evt) ? evt : window.event; // for IE
+ if (e.keyCode==13) return true;
+ if (!this.ProcessKeys(e)) return false;
+
+ if (this.lastKey==38) // Up
+ {
+ if (childIndex>0)
+ {
+ var newIndex = childIndex-1;
+ document.getElementById('Item'+itemIndex+'_c'+newIndex).focus();
+ }
+ else // already at first child, jump to parent
+ {
+ document.getElementById('Item'+itemIndex).focus();
+ }
+ }
+ else if (this.lastKey==40) // Down
+ {
+ var newIndex = childIndex+1;
+ var elem = document.getElementById('Item'+itemIndex+'_c'+newIndex);
+ if (!elem) // last child, jump to parent next parent
+ {
+ elem = this.NavNext(itemIndex+1);
+ }
+ if (elem)
+ {
+ elem.focus();
+ }
+ }
+ else if (this.lastKey==27) // Escape
+ {
+ parent.searchBox.CloseResultsWindow();
+ parent.document.getElementById("MSearchField").focus();
+ }
+ else if (this.lastKey==13) // Enter
+ {
+ return true;
+ }
+ return false;
+ }
+}
+
+function setKeyActions(elem,action)
+{
+ elem.setAttribute('onkeydown',action);
+ elem.setAttribute('onkeypress',action);
+ elem.setAttribute('onkeyup',action);
+}
+
+function setClassAttr(elem,attr)
+{
+ elem.setAttribute('class',attr);
+ elem.setAttribute('className',attr);
+}
+
+function createResults()
+{
+ var results = document.getElementById("SRResults");
+ for (var e=0; e<searchData.length; e++)
+ {
+ var id = searchData[e][0];
+ var srResult = document.createElement('div');
+ srResult.setAttribute('id','SR_'+id);
+ setClassAttr(srResult,'SRResult');
+ var srEntry = document.createElement('div');
+ setClassAttr(srEntry,'SREntry');
+ var srLink = document.createElement('a');
+ srLink.setAttribute('id','Item'+e);
+ setKeyActions(srLink,'return searchResults.Nav(event,'+e+')');
+ setClassAttr(srLink,'SRSymbol');
+ srLink.innerHTML = searchData[e][1][0];
+ srEntry.appendChild(srLink);
+ if (searchData[e][1].length==2) // single result
+ {
+ srLink.setAttribute('href',searchData[e][1][1][0]);
+ if (searchData[e][1][1][1])
+ {
+ srLink.setAttribute('target','_parent');
+ }
+ var srScope = document.createElement('span');
+ setClassAttr(srScope,'SRScope');
+ srScope.innerHTML = searchData[e][1][1][2];
+ srEntry.appendChild(srScope);
+ }
+ else // multiple results
+ {
+ srLink.setAttribute('href','javascript:searchResults.Toggle("SR_'+id+'")');
+ var srChildren = document.createElement('div');
+ setClassAttr(srChildren,'SRChildren');
+ for (var c=0; c<searchData[e][1].length-1; c++)
+ {
+ var srChild = document.createElement('a');
+ srChild.setAttribute('id','Item'+e+'_c'+c);
+ setKeyActions(srChild,'return searchResults.NavChild(event,'+e+','+c+')');
+ setClassAttr(srChild,'SRScope');
+ srChild.setAttribute('href',searchData[e][1][c+1][0]);
+ if (searchData[e][1][c+1][1])
+ {
+ srChild.setAttribute('target','_parent');
+ }
+ srChild.innerHTML = searchData[e][1][c+1][2];
+ srChildren.appendChild(srChild);
+ }
+ srEntry.appendChild(srChildren);
+ }
+ srResult.appendChild(srEntry);
+ results.appendChild(srResult);
+ }
+}
+
diff --git a/docs/NN/html/search/search_l.png b/docs/NN/html/search/search_l.png
new file mode 100644
index 0000000..c872f4d
--- /dev/null
+++ b/docs/NN/html/search/search_l.png
Binary files differ
diff --git a/docs/NN/html/search/search_m.png b/docs/NN/html/search/search_m.png
new file mode 100644
index 0000000..b429a16
--- /dev/null
+++ b/docs/NN/html/search/search_m.png
Binary files differ
diff --git a/docs/NN/html/search/search_r.png b/docs/NN/html/search/search_r.png
new file mode 100644
index 0000000..97ee8b4
--- /dev/null
+++ b/docs/NN/html/search/search_r.png
Binary files differ
diff --git a/docs/NN/html/search/variables_0.html b/docs/NN/html/search/variables_0.html
new file mode 100644
index 0000000..1b8adc9
--- /dev/null
+++ b/docs/NN/html/search/variables_0.html
@@ -0,0 +1,26 @@
+<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
+<html><head><title></title>
+<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/>
+<meta name="generator" content="Doxygen 1.8.6">
+<link rel="stylesheet" type="text/css" href="search.css"/>
+<script type="text/javascript" src="variables_0.js"></script>
+<script type="text/javascript" src="search.js"></script>
+</head>
+<body class="SRPage">
+<div id="SRIndex">
+<div class="SRStatus" id="Loading">Loading...</div>
+<div id="SRResults"></div>
+<script type="text/javascript"><!--
+createResults();
+--></script>
+<div class="SRStatus" id="Searching">Searching...</div>
+<div class="SRStatus" id="NoMatches">No Matches</div>
+<script type="text/javascript"><!--
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