diff options
Diffstat (limited to 'Documentation/_ref_convolution2d_workload_8cpp_source.html')
-rw-r--r-- | Documentation/_ref_convolution2d_workload_8cpp_source.html | 130 |
1 files changed, 0 insertions, 130 deletions
diff --git a/Documentation/_ref_convolution2d_workload_8cpp_source.html b/Documentation/_ref_convolution2d_workload_8cpp_source.html deleted file mode 100644 index c84fb17fa8..0000000000 --- a/Documentation/_ref_convolution2d_workload_8cpp_source.html +++ /dev/null @@ -1,130 +0,0 @@ -<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> -<html xmlns="http://www.w3.org/1999/xhtml"> -<head> -<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> -<meta http-equiv="X-UA-Compatible" content="IE=9"/> -<meta name="generator" content="Doxygen 1.8.13"/> -<meta name="viewport" content="width=device-width, initial-scale=1"/> -<title>ArmNN: src/backends/reference/workloads/RefConvolution2dWorkload.cpp Source File</title> -<link href="tabs.css" rel="stylesheet" type="text/css"/> -<script type="text/javascript" src="jquery.js"></script> -<script type="text/javascript" src="dynsections.js"></script> -<link href="navtree.css" rel="stylesheet" type="text/css"/> -<script type="text/javascript" src="resize.js"></script> -<script type="text/javascript" src="navtreedata.js"></script> -<script type="text/javascript" src="navtree.js"></script> -<script type="text/javascript"> - $(document).ready(initResizable); -</script> -<link href="search/search.css" rel="stylesheet" type="text/css"/> -<script type="text/javascript" src="search/searchdata.js"></script> -<script type="text/javascript" src="search/search.js"></script> -<link href="doxygen.css" rel="stylesheet" type="text/css" /> -</head> -<body> -<div id="top"><!-- do not remove this div, it is closed by doxygen! --> -<div id="titlearea"> -<table cellspacing="0" cellpadding="0"> - <tbody> - <tr style="height: 56px;"> - <td id="projectalign" style="padding-left: 0.5em;"> - <div id="projectname">ArmNN -  <span id="projectnumber">NotReleased</span> - </div> - </td> - </tr> - </tbody> -</table> -</div> -<!-- end header part --> -<!-- Generated by Doxygen 1.8.13 --> -<script type="text/javascript"> -var searchBox = new SearchBox("searchBox", "search",false,'Search'); -</script> -<script type="text/javascript" src="menudata.js"></script> -<script type="text/javascript" src="menu.js"></script> -<script type="text/javascript"> -$(function() { - initMenu('',true,false,'search.php','Search'); - $(document).ready(function() { init_search(); }); -}); -</script> -<div id="main-nav"></div> -</div><!-- top --> -<div id="side-nav" class="ui-resizable side-nav-resizable"> - <div id="nav-tree"> - <div id="nav-tree-contents"> - <div id="nav-sync" class="sync"></div> - </div> - </div> - <div id="splitbar" style="-moz-user-select:none;" - class="ui-resizable-handle"> - </div> -</div> -<script type="text/javascript"> -$(document).ready(function(){initNavTree('_ref_convolution2d_workload_8cpp_source.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)"> -</div> - -<!-- iframe showing the search results (closed by default) --> -<div id="MSearchResultsWindow"> -<iframe src="javascript:void(0)" frameborder="0" - name="MSearchResults" id="MSearchResults"> -</iframe> -</div> - -<div class="header"> - <div class="headertitle"> -<div class="title">RefConvolution2dWorkload.cpp</div> </div> -</div><!--header--> -<div class="contents"> -<a href="_ref_convolution2d_workload_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_ref_convolution2d_workload_8hpp.html">RefConvolution2dWorkload.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_conv_impl_8hpp.html">ConvImpl.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a>"</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "<a class="code" href="_profiling_8hpp.html">Profiling.hpp</a>"</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> {</div><div class="line"><a name="l00015"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_convolution2d_workload.html#aa6e82e6f9a0c5f9c3a178be4582ffa2c"> 15</a></span> <a class="code" href="classarmnn_1_1_ref_convolution2d_workload.html#aa6e82e6f9a0c5f9c3a178be4582ffa2c">RefConvolution2dWorkload::RefConvolution2dWorkload</a>(</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_convolution2d_queue_descriptor.html">Convolution2dQueueDescriptor</a>& descriptor, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& info)</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  : <a class="code" href="classarmnn_1_1_base_workload.html">BaseWorkload</a><<a class="code" href="structarmnn_1_1_convolution2d_queue_descriptor.html">Convolution2dQueueDescriptor</a>>(descriptor, info)</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> {</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  m_Weight = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.<a class="code" href="structarmnn_1_1_convolution2d_queue_descriptor.html#a3369b66d9316a773a41711e3f590c041">m_Weight</a>));</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& rFilterInfo = m_Weight->GetTensorInfo();</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  m_FilterShape = rFilterInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  m_FilterDecoder = MakeDecoder<float>(rFilterInfo, m_Weight.get()->Map(<span class="keyword">true</span>));</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  {</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  m_Bias = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.<a class="code" href="structarmnn_1_1_convolution2d_queue_descriptor.html#ab3437cee6b0687812104fc1b37cbe8b3">m_Bias</a>));</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& biasInfo = m_Bias->GetTensorInfo();</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  m_BiasDecoder = MakeDecoder<float>(biasInfo, m_Bias->Map(<span class="keyword">true</span>));</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  }</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> }</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_convolution2d_workload.html#a81627f96ba06d76e147f7d392a8117ed"> 33</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_convolution2d_workload.html#a81627f96ba06d76e147f7d392a8117ed">RefConvolution2dWorkload::PostAllocationConfigure</a>()</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> {</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputInfo = <a class="code" href="namespacearmnn.html#a93d269806f34407695dc10f510001c30">GetTensorInfo</a>(<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0]);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  m_InputShape = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  m_InputDecoder = MakeDecoder<float>(inputInfo);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputInfo = <a class="code" href="namespacearmnn.html#a93d269806f34407695dc10f510001c30">GetTensorInfo</a>(<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0]);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  m_OutputShape = outputInfo.GetShape();</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  m_OutputEncoder = MakeEncoder<float>(outputInfo);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> }</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a"> 44</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">RefConvolution2dWorkload::Execute</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">Compute::CpuRef</a>, <span class="stringliteral">"RefConvolution2dWorkload_Execute"</span>);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  m_InputDecoder->Reset(<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0]->Map());</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  m_OutputEncoder->Reset(<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0]->Map());</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="namespacearmnn.html#af98115cd07776d3fa8424434d2a7a897">Convolve</a>(m_InputShape, *m_InputDecoder, m_OutputShape, *m_OutputEncoder, m_FilterShape,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  *m_FilterDecoder, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>, m_BiasDecoder.get(),</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">m_DilationX</a>, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">m_DilationY</a>);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> }</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> } <span class="comment">//namespace armnn</span></div><div class="ttc" id="_profiling_8hpp_html_a5ccc65e2c464ac05ce311fdae7ede03a"><div class="ttname"><a href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.html#l00170">Profiling.hpp:170</a></div></div> -<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::Convolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00440">Descriptors.hpp:440</a></div></div> -<div class="ttc" id="structarmnn_1_1_convolution2d_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_convolution2d_queue_descriptor.html">armnn::Convolution2dQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00168">WorkloadData.hpp:168</a></div></div> -<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div> -<div class="ttc" id="classarmnn_1_1_ref_convolution2d_workload_html_aa6e82e6f9a0c5f9c3a178be4582ffa2c"><div class="ttname"><a href="classarmnn_1_1_ref_convolution2d_workload.html#aa6e82e6f9a0c5f9c3a178be4582ffa2c">armnn::RefConvolution2dWorkload::RefConvolution2dWorkload</a></div><div class="ttdeci">RefConvolution2dWorkload(const Convolution2dQueueDescriptor &descriptor, const WorkloadInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_convolution2d_workload_8cpp_source.html#l00015">RefConvolution2dWorkload.cpp:15</a></div></div> -<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div> -<div class="ttc" id="classarmnn_1_1_ref_convolution2d_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_ref_convolution2d_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::RefConvolution2dWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_convolution2d_workload_8cpp_source.html#l00044">RefConvolution2dWorkload.cpp:44</a></div></div> -<div class="ttc" id="namespacearmnn_html_af98115cd07776d3fa8424434d2a7a897"><div class="ttname"><a href="namespacearmnn.html#af98115cd07776d3fa8424434d2a7a897">armnn::Convolve</a></div><div class="ttdeci">void Convolve(const TensorShape &rInputShape, Decoder< float > &rInputDecoder, const TensorShape &rOutputShape, Encoder< float > &rOutputEncoder, const TensorShape &rFilterShape, Decoder< float > &rFilterDecoder, bool biasEnabled, Decoder< float > *pBiasDecoder, DataLayout dataLayout, unsigned int paddingTop, unsigned int paddingLeft, unsigned int xStride, unsigned int yStride, unsigned int xDilation, unsigned int yDilation, bool depthwise)</div><div class="ttdef"><b>Definition:</b> <a href="_conv_impl_8cpp_source.html#l00071">ConvImpl.cpp:71</a></div></div> -<div class="ttc" id="_ref_convolution2d_workload_8hpp_html"><div class="ttname"><a href="_ref_convolution2d_workload_8hpp.html">RefConvolution2dWorkload.hpp</a></div></div> -<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div> -<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Convolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00432">Descriptors.hpp:432</a></div></div> -<div class="ttc" id="structarmnn_1_1_convolution2d_queue_descriptor_html_a3369b66d9316a773a41711e3f590c041"><div class="ttname"><a href="structarmnn_1_1_convolution2d_queue_descriptor.html#a3369b66d9316a773a41711e3f590c041">armnn::Convolution2dQueueDescriptor::m_Weight</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Weight</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00176">WorkloadData.hpp:176</a></div></div> -<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">armnn::Convolution2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00426">Descriptors.hpp:426</a></div></div> -<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Convolution2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00422">Descriptors.hpp:422</a></div></div> -<div class="ttc" id="_conv_impl_8hpp_html"><div class="ttname"><a href="_conv_impl_8hpp.html">ConvImpl.hpp</a></div></div> -<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">armnn::Convolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00430">Descriptors.hpp:430</a></div></div> -<div class="ttc" id="classarmnn_1_1_base_workload_html_a0a487c549c63319505095b855ea3c195"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">armnn::BaseWorkload< Convolution2dQueueDescriptor >::m_Data</a></div><div class="ttdeci">const Convolution2dQueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00046">Workload.hpp:46</a></div></div> -<div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div> -<div class="ttc" id="structarmnn_1_1_convolution2d_queue_descriptor_html_ab3437cee6b0687812104fc1b37cbe8b3"><div class="ttname"><a href="structarmnn_1_1_convolution2d_queue_descriptor.html#ab3437cee6b0687812104fc1b37cbe8b3">armnn::Convolution2dQueueDescriptor::m_Bias</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Bias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00177">WorkloadData.hpp:177</a></div></div> -<div class="ttc" id="namespacearmnn_html_ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a></div><div class="ttdoc">CPU Execution: Reference C++ kernels. </div></div> -<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::Convolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00438">Descriptors.hpp:438</a></div></div> -<div class="ttc" id="classarmnn_1_1_ref_convolution2d_workload_html_a81627f96ba06d76e147f7d392a8117ed"><div class="ttname"><a href="classarmnn_1_1_ref_convolution2d_workload.html#a81627f96ba06d76e147f7d392a8117ed">armnn::RefConvolution2dWorkload::PostAllocationConfigure</a></div><div class="ttdeci">void PostAllocationConfigure() override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_convolution2d_workload_8cpp_source.html#l00033">RefConvolution2dWorkload.cpp:33</a></div></div> -<div class="ttc" id="_profiling_8hpp_html"><div class="ttname"><a href="_profiling_8hpp.html">Profiling.hpp</a></div></div> -<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_a302b688d88dd73cde0fb1faef6679907"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#a302b688d88dd73cde0fb1faef6679907">armnn::Convolution2dDescriptor::m_DilationY</a></div><div class="ttdeci">uint32_t m_DilationY</div><div class="ttdoc">Dilation along y axis. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00436">Descriptors.hpp:436</a></div></div> -<div class="ttc" id="structarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00031">WorkloadData.hpp:31</a></div></div> -<div class="ttc" id="structarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00030">WorkloadData.hpp:30</a></div></div> -<div class="ttc" id="structarmnn_1_1_convolution2d_descriptor_html_aa3c6a77a963a98ccb8ea7b8fd008a8c1"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#aa3c6a77a963a98ccb8ea7b8fd008a8c1">armnn::Convolution2dDescriptor::m_DilationX</a></div><div class="ttdeci">uint32_t m_DilationX</div><div class="ttdoc">Dilation along x axis. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00434">Descriptors.hpp:434</a></div></div> -<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00088">Tensor.hpp:88</a></div></div> -<div class="ttc" id="classarmnn_1_1_base_workload_html"><div class="ttname"><a href="classarmnn_1_1_base_workload.html">armnn::BaseWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00028">Workload.hpp:28</a></div></div> -<div class="ttc" id="namespacearmnn_html_a93d269806f34407695dc10f510001c30"><div class="ttname"><a href="namespacearmnn.html#a93d269806f34407695dc10f510001c30">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers </div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00025">RefWorkloadUtils.hpp:25</a></div></div> -<div class="ttc" id="_ref_workload_utils_8hpp_html"><div class="ttname"><a href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a></div></div> -</div><!-- fragment --></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_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.html">backends</a></li><li class="navelem"><a class="el" href="dir_efae4012d0e357ebeaba7d02491d70e5.html">reference</a></li><li class="navelem"><a class="el" href="dir_d2f3b8e2e64df3181ebe92efcc0a3012.html">workloads</a></li><li class="navelem"><a class="el" href="_ref_convolution2d_workload_8cpp.html">RefConvolution2dWorkload.cpp</a></li> - <li class="footer">Generated on Fri Mar 13 2020 16:06:58 for ArmNN by - <a href="http://www.doxygen.org/index.html"> - <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> - </ul> -</div> -</body> -</html> |