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diff --git a/docs/NN/html/group__Pooling.html b/docs/NN/html/group__Pooling.html new file mode 100644 index 0000000..89700d3 --- /dev/null +++ b/docs/NN/html/group__Pooling.html @@ -0,0 +1,321 @@ +<!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>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" /> +<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 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class="memberdecls"> +<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 </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"> </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"> </td></tr> +<tr class="memitem:gae4a7b07f97ec4313524c9fb9fbcb1f6a"><td class="memItemLeft" align="right" valign="top">void </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"> </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"> </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 * </td> + <td class="paramname"><em>Im_in</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const uint16_t </td> + <td class="paramname"><em>dim_im_in</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const uint16_t </td> + <td class="paramname"><em>ch_im_in</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const uint16_t </td> + <td class="paramname"><em>dim_kernel</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const uint16_t </td> + <td class="paramname"><em>padding</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const uint16_t </td> + <td class="paramname"><em>stride</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const uint16_t </td> + <td class="paramname"><em>dim_im_out</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">q7_t * </td> + <td class="paramname"><em>bufferA</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">q7_t * </td> + <td class="paramname"><em>Im_out</em> </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 * </td> + <td class="paramname"><em>Im_in</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const uint16_t </td> + <td class="paramname"><em>dim_im_in</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const uint16_t </td> + <td class="paramname"><em>ch_im_in</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const uint16_t </td> + <td class="paramname"><em>dim_kernel</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const uint16_t </td> + <td class="paramname"><em>padding</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const uint16_t </td> + <td class="paramname"><em>stride</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const uint16_t </td> + <td class="paramname"><em>dim_im_out</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">q7_t * </td> + <td class="paramname"><em>bufferA</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">q7_t * </td> + <td class="paramname"><em>Im_out</em> </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 --> +<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> |