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diff --git a/20.02/classarmnn_1_1_layer.xhtml b/20.02/classarmnn_1_1_layer.xhtml new file mode 100644 index 0000000000..b3d6de4903 --- /dev/null +++ b/20.02/classarmnn_1_1_layer.xhtml @@ -0,0 +1,1979 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: Layer Class Reference</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"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">20.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('classarmnn_1_1_layer.xhtml','');}); +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="summary"> +<a href="#pub-methods">Public Member Functions</a> | +<a href="#pro-types">Protected Types</a> | +<a href="#pro-methods">Protected Member Functions</a> | +<a href="#pro-attribs">Protected Attributes</a> | +<a href="#friends">Friends</a> | +<a href="classarmnn_1_1_layer-members.xhtml">List of all members</a> </div> + <div class="headertitle"> +<div class="title">Layer Class Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div> </div> +</div><!--header--> +<div class="contents"> + +<p><code>#include <<a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>></code></p> +<div class="dynheader"> +Inheritance diagram for Layer:</div> +<div class="dyncontent"> + <div class="center"> + <img src="classarmnn_1_1_layer.png" usemap="#Layer_map" alt=""/> + <map id="Layer_map" name="Layer_map"> +<area href="classarmnn_1_1_i_connectable_layer.xhtml" title="Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. " alt="IConnectableLayer" shape="rect" coords="0,0,356,24"/> +<area href="classarmnn_1_1_abs_layer.xhtml" alt="AbsLayer" shape="rect" coords="366,112,722,136"/> +<area href="classarmnn_1_1_bindable_layer.xhtml" alt="BindableLayer" shape="rect" coords="366,168,722,192"/> +<area href="classarmnn_1_1_constant_layer.xhtml" title="A layer that the constant data can be bound to. " alt="ConstantLayer" shape="rect" coords="366,224,722,248"/> +<area href="classarmnn_1_1_convert_fp16_to_fp32_layer.xhtml" title="This layer converts data type Float 16 to Float 32. " alt="ConvertFp16ToFp32Layer" shape="rect" coords="366,280,722,304"/> +<area href="classarmnn_1_1_convert_fp32_to_fp16_layer.xhtml" title="This layer converts data type Float 32 to Float 16. " alt="ConvertFp32ToFp16Layer" shape="rect" coords="366,336,722,360"/> +<area href="classarmnn_1_1_debug_layer.xhtml" title="This layer visualizes the data flowing through the network. " alt="DebugLayer" shape="rect" coords="366,392,722,416"/> +<area href="classarmnn_1_1_dequantize_layer.xhtml" title="This layer dequantizes the input tensor. " alt="DequantizeLayer" shape="rect" coords="366,448,722,472"/> +<area href="classarmnn_1_1_elementwise_base_layer.xhtml" title="NOTE: this is an abstract class to encapsulate the element wise operations, it does not implement: st..." alt="ElementwiseBaseLayer" shape="rect" coords="366,504,722,528"/> +<area href="classarmnn_1_1_floor_layer.xhtml" title="This layer represents a floor operation. " alt="FloorLayer" shape="rect" coords="366,560,722,584"/> +<area href="classarmnn_1_1_gather_layer.xhtml" title="This layer represents a Gather operator. " alt="GatherLayer" shape="rect" coords="366,616,722,640"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< Parameters >" shape="rect" coords="366,672,722,696"/> +<area href="classarmnn_1_1_mem_copy_layer.xhtml" title="This layer represents a memory copy operation. " alt="MemCopyLayer" shape="rect" coords="366,728,722,752"/> +<area href="classarmnn_1_1_mem_import_layer.xhtml" title="This layer represents a memory import operation. " alt="MemImportLayer" shape="rect" coords="366,784,722,808"/> +<area href="classarmnn_1_1_merge_layer.xhtml" title="This layer dequantizes the input tensor. " alt="MergeLayer" shape="rect" coords="366,840,722,864"/> +<area href="classarmnn_1_1_prelu_layer.xhtml" alt="PreluLayer" shape="rect" coords="366,896,722,920"/> +<area href="classarmnn_1_1_quantized_lstm_layer.xhtml" title="This layer represents a QuantizedLstm operation. " alt="QuantizedLstmLayer" shape="rect" coords="366,952,722,976"/> +<area href="classarmnn_1_1_quantize_layer.xhtml" alt="QuantizeLayer" shape="rect" coords="366,1008,722,1032"/> +<area href="classarmnn_1_1_rsqrt_layer.xhtml" alt="RsqrtLayer" shape="rect" coords="366,1064,722,1088"/> +<area href="classarmnn_1_1_switch_layer.xhtml" title="This layer calculates both true and false outputs for input. " alt="SwitchLayer" shape="rect" coords="366,1120,722,1144"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< ActivationDescriptor >" shape="rect" coords="366,1176,722,1200"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< ArgMinMaxDescriptor >" shape="rect" coords="366,1232,722,1256"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< BatchNormalizationDescriptor >" shape="rect" coords="366,1288,722,1312"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< BatchToSpaceNdDescriptor >" shape="rect" coords="366,1344,722,1368"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< ComparisonDescriptor >" shape="rect" coords="366,1400,722,1424"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< Convolution2dDescriptor >" shape="rect" coords="366,1456,722,1480"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< DepthToSpaceDescriptor >" shape="rect" coords="366,1512,722,1536"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< DepthwiseConvolution2dDescriptor >" shape="rect" coords="366,1568,722,1592"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< DetectionPostProcessDescriptor >" shape="rect" coords="366,1624,722,1648"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< ElementwiseUnaryDescriptor >" shape="rect" coords="366,1680,722,1704"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< FakeQuantizationDescriptor >" shape="rect" coords="366,1736,722,1760"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< FullyConnectedDescriptor >" shape="rect" coords="366,1792,722,1816"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< InstanceNormalizationDescriptor >" shape="rect" coords="366,1848,722,1872"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< L2NormalizationDescriptor >" shape="rect" coords="366,1904,722,1928"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< LogSoftmaxDescriptor >" shape="rect" coords="366,1960,722,1984"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< LstmDescriptor >" shape="rect" coords="366,2016,722,2040"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< MeanDescriptor >" shape="rect" coords="366,2072,722,2096"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< NormalizationDescriptor >" shape="rect" coords="366,2128,722,2152"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< OriginsDescriptor >" shape="rect" coords="366,2184,722,2208"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< PadDescriptor >" shape="rect" coords="366,2240,722,2264"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< PermuteDescriptor >" shape="rect" coords="366,2296,722,2320"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< Pooling2dDescriptor >" shape="rect" coords="366,2352,722,2376"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< PreCompiledDescriptor >" shape="rect" coords="366,2408,722,2432"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< ReshapeDescriptor >" shape="rect" coords="366,2464,722,2488"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< ResizeDescriptor >" shape="rect" coords="366,2520,722,2544"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< SliceDescriptor >" shape="rect" coords="366,2576,722,2600"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< SoftmaxDescriptor >" shape="rect" coords="366,2632,722,2656"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< SpaceToBatchNdDescriptor >" shape="rect" coords="366,2688,722,2712"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< SpaceToDepthDescriptor >" shape="rect" coords="366,2744,722,2768"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< StackDescriptor >" shape="rect" coords="366,2800,722,2824"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< StandInDescriptor >" shape="rect" coords="366,2856,722,2880"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< StridedSliceDescriptor >" shape="rect" coords="366,2912,722,2936"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< TransposeConvolution2dDescriptor >" shape="rect" coords="366,2968,722,2992"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< TransposeDescriptor >" shape="rect" coords="366,3024,722,3048"/> +<area href="classarmnn_1_1_layer_with_parameters.xhtml" alt="LayerWithParameters< ViewsDescriptor >" shape="rect" coords="366,3080,722,3104"/> +</map> + </div></div> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> +Public Member Functions</h2></td></tr> +<tr class="memitem:a5e5ae420d199a0bccae5139d38c30205"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a5e5ae420d199a0bccae5139d38c30205">Layer</a> (unsigned int numInputSlots, unsigned int numOutputSlots, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type, const char *name)</td></tr> +<tr class="separator:a5e5ae420d199a0bccae5139d38c30205"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a395d070748c18d903705799360088e80"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a395d070748c18d903705799360088e80">Layer</a> (unsigned int numInputSlots, unsigned int numOutputSlots, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> layout, const char *name)</td></tr> +<tr class="separator:a395d070748c18d903705799360088e80"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9a97cb6d32661a57fc33bd29b8e41ff4"><td class="memItemLeft" align="right" valign="top">const std::string & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a> () const</td></tr> +<tr class="separator:a9a97cb6d32661a57fc33bd29b8e41ff4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af2c0edc7ea62a8baaec4d3d9b2b09256"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a> (unsigned int i=0) const</td></tr> +<tr class="separator:af2c0edc7ea62a8baaec4d3d9b2b09256"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1d4e05c17647232c514cfe58ca80744a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a1d4e05c17647232c514cfe58ca80744a">GetOutputHandler</a> (unsigned int i=0)</td></tr> +<tr class="separator:a1d4e05c17647232c514cfe58ca80744a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af5f530544d09a44d726f24702b67b35b"><td class="memItemLeft" align="right" valign="top">const std::vector< <a class="el" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a> > & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a> () const</td></tr> +<tr class="separator:af5f530544d09a44d726f24702b67b35b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a98cdff4e0b45f4c80bfcedaf926e16e0"><td class="memItemLeft" align="right" valign="top">const std::vector< <a class="el" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a> > & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a98cdff4e0b45f4c80bfcedaf926e16e0">GetOutputSlots</a> () const</td></tr> +<tr class="separator:a98cdff4e0b45f4c80bfcedaf926e16e0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af6cb8de21ef0da269ec9b67755ae92a0"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a> >::iterator </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#af6cb8de21ef0da269ec9b67755ae92a0">BeginInputSlots</a> ()</td></tr> +<tr class="separator:af6cb8de21ef0da269ec9b67755ae92a0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9752e12d6b79e18da1a25f76159d2a72"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a> >::iterator </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a9752e12d6b79e18da1a25f76159d2a72">EndInputSlots</a> ()</td></tr> +<tr class="separator:a9752e12d6b79e18da1a25f76159d2a72"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a817d4be6dd88f532d36f51748ec14185"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a> >::iterator </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a817d4be6dd88f532d36f51748ec14185">BeginOutputSlots</a> ()</td></tr> +<tr class="separator:a817d4be6dd88f532d36f51748ec14185"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a55f76d98fcd2f5cdac3e2b14536cb7ab"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a> >::iterator </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a55f76d98fcd2f5cdac3e2b14536cb7ab">EndOutputSlots</a> ()</td></tr> +<tr class="separator:a55f76d98fcd2f5cdac3e2b14536cb7ab"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a22485f444124128940e798a42f0b76d9"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a22485f444124128940e798a42f0b76d9">IsOutputUnconnected</a> ()</td></tr> +<tr class="separator:a22485f444124128940e798a42f0b76d9"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aac329cade047e952621b59a51a5d5f49"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#aac329cade047e952621b59a51a5d5f49">ResetPriority</a> () const</td></tr> +<tr class="separator:aac329cade047e952621b59a51a5d5f49"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af97a07195a67a638605b3c325763c2dd"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#af97a07195a67a638605b3c325763c2dd">GetPriority</a> () const</td></tr> +<tr class="separator:af97a07195a67a638605b3c325763c2dd"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aaef29472862381822654ab6cbf7cba2a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a> () const</td></tr> +<tr class="separator:aaef29472862381822654ab6cbf7cba2a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aea909c7327109228ef618d459015def3"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a> () const</td></tr> +<tr class="separator:aea909c7327109228ef618d459015def3"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afdb1d37740e7a083b625d669588b6a0e"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a> () const</td></tr> +<tr class="separator:afdb1d37740e7a083b625d669588b6a0e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3f6ad59212fa8a47c9265162fff8a274"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a3f6ad59212fa8a47c9265162fff8a274">SetBackendId</a> (const <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> &id)</td></tr> +<tr class="separator:a3f6ad59212fa8a47c9265162fff8a274"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a08d1e10a45f15cd0bd02557be35a3864"><td class="memItemLeft" align="right" valign="top">virtual std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a08d1e10a45f15cd0bd02557be35a3864">CreateWorkload</a> (const <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a> &factory) const =0</td></tr> +<tr class="separator:a08d1e10a45f15cd0bd02557be35a3864"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3ff62126ec713a2708e5fbaa6146a7de"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a3ff62126ec713a2708e5fbaa6146a7de">CreateTensorHandles</a> (const <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a> &registry, const <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a> &factory, const bool IsMemoryManaged=<a class="el" href="_ref_layer_tests_8cpp.xhtml#a37f1c3ccc9fc906be85185350dd83d48">true</a>)</td></tr> +<tr class="separator:a3ff62126ec713a2708e5fbaa6146a7de"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae89ff455503aa106d00bf34103d2f2e0"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_layer.xhtml">Layer</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#ae89ff455503aa106d00bf34103d2f2e0">Clone</a> (<a class="el" href="classarmnn_1_1_graph.xhtml">Graph</a> &graph) const =0</td></tr> +<tr class="memdesc:ae89ff455503aa106d00bf34103d2f2e0"><td class="mdescLeft"> </td><td class="mdescRight">Creates a dynamically-allocated copy of this layer. <a href="#ae89ff455503aa106d00bf34103d2f2e0">More...</a><br /></td></tr> +<tr class="separator:ae89ff455503aa106d00bf34103d2f2e0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0607e36e88f38c34c71c663164b76776"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a> (unsigned int expectedConnections, const <a class="el" href="structarmnn_1_1_check_location.xhtml">CheckLocation</a> &location) const</td></tr> +<tr class="separator:a0607e36e88f38c34c71c663164b76776"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a84ff600212ba26e665de9b978ec896a4"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a84ff600212ba26e665de9b978ec896a4">ValidateTensorShapesFromInputs</a> ()=0</td></tr> +<tr class="separator:a84ff600212ba26e665de9b978ec896a4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a65ca562c882ad619684445a1402f415a"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a> (const std::vector< <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> > &inputShapes) const override</td></tr> +<tr class="memdesc:a65ca562c882ad619684445a1402f415a"><td class="mdescLeft"> </td><td class="mdescRight">Infer the shape of the output(s) based on the provided input shape(s) <a href="#a65ca562c882ad619684445a1402f415a">More...</a><br /></td></tr> +<tr class="separator:a65ca562c882ad619684445a1402f415a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac04cd8de9b9185756eb02463ffd432b1"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#ac04cd8de9b9185756eb02463ffd432b1">SerializeLayerParameters</a> (<a class="el" href="namespacearmnn.xhtml#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a> &fn) const</td></tr> +<tr class="memdesc:ac04cd8de9b9185756eb02463ffd432b1"><td class="mdescLeft"> </td><td class="mdescRight">Helper to serialize the layer parameters to string. <a href="#ac04cd8de9b9185756eb02463ffd432b1">More...</a><br /></td></tr> +<tr class="separator:ac04cd8de9b9185756eb02463ffd432b1"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a339bef86bc340c3d1393ed83950fe8af"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a339bef86bc340c3d1393ed83950fe8af">ReleaseConstantData</a> ()</td></tr> +<tr class="separator:a339bef86bc340c3d1393ed83950fe8af"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a386acff5f8430245239ce58d00ba7576"><td class="memTemplParams" colspan="2">template<typename Op > </td></tr> +<tr class="memitem:a386acff5f8430245239ce58d00ba7576"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a386acff5f8430245239ce58d00ba7576">OperateOnConstantTensors</a> (Op op)</td></tr> +<tr class="separator:a386acff5f8430245239ce58d00ba7576"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7ddf0cf6f620d59c10e63495ace795d0"><td class="memItemLeft" align="right" valign="top">const char * </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a> () const override</td></tr> +<tr class="memdesc:a7ddf0cf6f620d59c10e63495ace795d0"><td class="mdescLeft"> </td><td class="mdescRight">Returns the name of the layer. <a href="#a7ddf0cf6f620d59c10e63495ace795d0">More...</a><br /></td></tr> +<tr class="separator:a7ddf0cf6f620d59c10e63495ace795d0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abc0660dc440c8a285b456c9ef6383c26"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a> () const override</td></tr> +<tr class="memdesc:abc0660dc440c8a285b456c9ef6383c26"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of connectable input slots. <a href="#abc0660dc440c8a285b456c9ef6383c26">More...</a><br /></td></tr> +<tr class="separator:abc0660dc440c8a285b456c9ef6383c26"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1594bddc87d6477df300317658f566bb"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a> () const override</td></tr> +<tr class="memdesc:a1594bddc87d6477df300317658f566bb"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of connectable output slots. <a href="#a1594bddc87d6477df300317658f566bb">More...</a><br /></td></tr> +<tr class="separator:a1594bddc87d6477df300317658f566bb"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acf8b8e23bf647836592982f97088d375"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a> (unsigned int index) const override</td></tr> +<tr class="memdesc:acf8b8e23bf647836592982f97088d375"><td class="mdescLeft"> </td><td class="mdescRight">Get a const input slot handle by slot index. <a href="#acf8b8e23bf647836592982f97088d375">More...</a><br /></td></tr> +<tr class="separator:acf8b8e23bf647836592982f97088d375"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1b50eb1358cdf382f4bc3fc8849f8e8e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a1b50eb1358cdf382f4bc3fc8849f8e8e">GetInputSlot</a> (unsigned int index) override</td></tr> +<tr class="memdesc:a1b50eb1358cdf382f4bc3fc8849f8e8e"><td class="mdescLeft"> </td><td class="mdescRight">Get the input slot handle by slot index. <a href="#a1b50eb1358cdf382f4bc3fc8849f8e8e">More...</a><br /></td></tr> +<tr class="separator:a1b50eb1358cdf382f4bc3fc8849f8e8e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0e36688a43c35668d8db5257274c68fe"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a> (unsigned int index=0) const override</td></tr> +<tr class="memdesc:a0e36688a43c35668d8db5257274c68fe"><td class="mdescLeft"> </td><td class="mdescRight">Get the const output slot handle by slot index. <a href="#a0e36688a43c35668d8db5257274c68fe">More...</a><br /></td></tr> +<tr class="separator:a0e36688a43c35668d8db5257274c68fe"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abbd71844785bb2f00a81baca30ea5ff0"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#abbd71844785bb2f00a81baca30ea5ff0">GetOutputSlot</a> (unsigned int index=0) override</td></tr> +<tr class="memdesc:abbd71844785bb2f00a81baca30ea5ff0"><td class="mdescLeft"> </td><td class="mdescRight">Get the output slot handle by slot index. <a href="#abbd71844785bb2f00a81baca30ea5ff0">More...</a><br /></td></tr> +<tr class="separator:abbd71844785bb2f00a81baca30ea5ff0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6d1024208b672a87ef2c1bfaf93d2b9f"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a6d1024208b672a87ef2c1bfaf93d2b9f">SetGuid</a> (<a class="el" href="namespacearmnn.xhtml#afad4088a9a058114ee5f87246f87bf49">LayerGuid</a> guid)</td></tr> +<tr class="separator:a6d1024208b672a87ef2c1bfaf93d2b9f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8dc12f0ee5b232d397bd18ced1a72a64"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#afad4088a9a058114ee5f87246f87bf49">LayerGuid</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a> () const final</td></tr> +<tr class="memdesc:a8dc12f0ee5b232d397bd18ced1a72a64"><td class="mdescLeft"> </td><td class="mdescRight">Returns the unique id of the layer. <a href="#a8dc12f0ee5b232d397bd18ced1a72a64">More...</a><br /></td></tr> +<tr class="separator:a8dc12f0ee5b232d397bd18ced1a72a64"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a339248d89d5e21534ecf74b4393ed4d2"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a339248d89d5e21534ecf74b4393ed4d2">AddRelatedLayerName</a> (const std::string layerName)</td></tr> +<tr class="separator:a339248d89d5e21534ecf74b4393ed4d2"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5e5520194ea4042fe07b0bf53c28f634"><td class="memItemLeft" align="right" valign="top">const std::list< std::string > & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a5e5520194ea4042fe07b0bf53c28f634">GetRelatedLayerNames</a> ()</td></tr> +<tr class="separator:a5e5520194ea4042fe07b0bf53c28f634"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a72b18e4c5a403bc3fe2fecf20135c8d6"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a72b18e4c5a403bc3fe2fecf20135c8d6">Reparent</a> (<a class="el" href="classarmnn_1_1_graph.xhtml">Graph</a> &dest, std::list< <a class="el" href="classarmnn_1_1_layer.xhtml">Layer</a> *>::const_iterator iterator)=0</td></tr> +<tr class="separator:a72b18e4c5a403bc3fe2fecf20135c8d6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a43a46eafee5c08787ab17b4342730c20"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a43a46eafee5c08787ab17b4342730c20">BackendSelectionHint</a> (<a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> > backend) final</td></tr> +<tr class="memdesc:a43a46eafee5c08787ab17b4342730c20"><td class="mdescLeft"> </td><td class="mdescRight">Provide a hint for the optimizer as to which backend to prefer for this layer. <a href="#a43a46eafee5c08787ab17b4342730c20">More...</a><br /></td></tr> +<tr class="separator:a43a46eafee5c08787ab17b4342730c20"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6ff80e440308295056b57e2adaa42888"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a6ff80e440308295056b57e2adaa42888">GetBackendHint</a> () const</td></tr> +<tr class="separator:a6ff80e440308295056b57e2adaa42888"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="inherit_header pub_methods_classarmnn_1_1_i_connectable_layer"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_i_connectable_layer')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a></td></tr> +<tr class="memitem:a8c9198a992b02e61a6777329d487dde3 inherit pub_methods_classarmnn_1_1_i_connectable_layer"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a8c9198a992b02e61a6777329d487dde3">Accept</a> (<a class="el" href="classarmnn_1_1_i_layer_visitor.xhtml">ILayerVisitor</a> &visitor) const =0</td></tr> +<tr class="memdesc:a8c9198a992b02e61a6777329d487dde3 inherit pub_methods_classarmnn_1_1_i_connectable_layer"><td class="mdescLeft"> </td><td class="mdescRight">Apply a visitor to this layer. <a href="classarmnn_1_1_i_connectable_layer.xhtml#a8c9198a992b02e61a6777329d487dde3">More...</a><br /></td></tr> +<tr class="separator:a8c9198a992b02e61a6777329d487dde3 inherit pub_methods_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-types"></a> +Protected Types</h2></td></tr> +<tr class="memitem:a585d59ec610af46a76487fd6c1c55ac1"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">ConstantTensors</a> = std::vector< std::reference_wrapper< std::unique_ptr< <a class="el" href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">ScopedCpuTensorHandle</a> > >></td></tr> +<tr class="separator:a585d59ec610af46a76487fd6c1c55ac1"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a> +Protected Member Functions</h2></td></tr> +<tr class="memitem:aacfb208d750bdfce1bbd423e5cac76e2"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#aacfb208d750bdfce1bbd423e5cac76e2">~Layer</a> ()=default</td></tr> +<tr class="separator:aacfb208d750bdfce1bbd423e5cac76e2"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afc3239f5fc116259bf5451964e803646"><td class="memTemplParams" colspan="2">template<typename QueueDescriptor > </td></tr> +<tr class="memitem:afc3239f5fc116259bf5451964e803646"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#afc3239f5fc116259bf5451964e803646">CollectQueueDescriptorInputs</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> &descriptor, <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> +<tr class="separator:afc3239f5fc116259bf5451964e803646"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a499ca5a94d0174ed21786b6994b2cd8c"><td class="memTemplParams" colspan="2">template<typename QueueDescriptor > </td></tr> +<tr class="memitem:a499ca5a94d0174ed21786b6994b2cd8c"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a499ca5a94d0174ed21786b6994b2cd8c">CollectQueueDescriptorOutputs</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> &descriptor, <a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> &<a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) const</td></tr> +<tr class="separator:a499ca5a94d0174ed21786b6994b2cd8c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a30a858b2b26d651a066537e499fbf40d"><td class="memTemplParams" colspan="2">template<typename QueueDescriptor > </td></tr> +<tr class="memitem:a30a858b2b26d651a066537e499fbf40d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a> (<a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> &descriptor) const</td></tr> +<tr class="memdesc:a30a858b2b26d651a066537e499fbf40d"><td class="mdescLeft"> </td><td class="mdescRight">Helper function to reduce duplication in *Layer<a class="el" href="_elementwise_unary_test_impl_8hpp.xhtml#aa50938ed8f91e09acd4af904dcf5543a">CreateWorkload</a>. <a href="#a30a858b2b26d651a066537e499fbf40d">More...</a><br /></td></tr> +<tr class="separator:a30a858b2b26d651a066537e499fbf40d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa10fd205c3f5469a9ecb2aa2a3ffd101"><td class="memTemplParams" colspan="2">template<typename LayerType , typename ... Params> </td></tr> +<tr class="memitem:aa10fd205c3f5469a9ecb2aa2a3ffd101"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> * </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#aa10fd205c3f5469a9ecb2aa2a3ffd101">CloneBase</a> (<a class="el" href="classarmnn_1_1_graph.xhtml">Graph</a> &graph, Params &&... params) const</td></tr> +<tr class="separator:aa10fd205c3f5469a9ecb2aa2a3ffd101"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afbeac2d77ecaadc3e303a163b4146961"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">ConstantTensors</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#afbeac2d77ecaadc3e303a163b4146961">GetConstantTensorsByRef</a> ()</td></tr> +<tr class="separator:afbeac2d77ecaadc3e303a163b4146961"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="inherit_header pro_methods_classarmnn_1_1_i_connectable_layer"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classarmnn_1_1_i_connectable_layer')"><img src="closed.png" alt="-"/> Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a></td></tr> +<tr class="memitem:a8c7faf37c1d965431aaa02ae934d67ee inherit pro_methods_classarmnn_1_1_i_connectable_layer"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a8c7faf37c1d965431aaa02ae934d67ee">~IConnectableLayer</a> ()</td></tr> +<tr class="memdesc:a8c7faf37c1d965431aaa02ae934d67ee inherit pro_methods_classarmnn_1_1_i_connectable_layer"><td class="mdescLeft"> </td><td class="mdescRight">Objects are not deletable via the handle. <a href="classarmnn_1_1_i_connectable_layer.xhtml#a8c7faf37c1d965431aaa02ae934d67ee">More...</a><br /></td></tr> +<tr class="separator:a8c7faf37c1d965431aaa02ae934d67ee inherit pro_methods_classarmnn_1_1_i_connectable_layer"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-attribs"></a> +Protected Attributes</h2></td></tr> +<tr class="memitem:aa44d91037bba52ba0dec6577509ade3b"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#aa44d91037bba52ba0dec6577509ade3b">m_OutputHandlers</a></td></tr> +<tr class="separator:aa44d91037bba52ba0dec6577509ade3b"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="friends"></a> +Friends</h2></td></tr> +<tr class="memitem:afab89afd724f1b07b1aaad6bdc61c47a"><td class="memItemLeft" align="right" valign="top">class </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_layer.xhtml#afab89afd724f1b07b1aaad6bdc61c47a">Graph</a></td></tr> +<tr class="separator:afab89afd724f1b07b1aaad6bdc61c47a"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> +<div class="textblock"> +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00209">209</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> +</div><h2 class="groupheader">Member Typedef Documentation</h2> +<a id="a585d59ec610af46a76487fd6c1c55ac1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a585d59ec610af46a76487fd6c1c55ac1">◆ </a></span>ConstantTensors</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">using <a class="el" href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">ConstantTensors</a> = std::vector<std::reference_wrapper<std::unique_ptr<<a class="el" href="classarmnn_1_1_scoped_cpu_tensor_handle.xhtml">ScopedCpuTensorHandle</a>> >></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">protected</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00363">363</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +</div> +</div> +<h2 class="groupheader">Constructor & Destructor Documentation</h2> +<a id="a5e5ae420d199a0bccae5139d38c30205"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5e5ae420d199a0bccae5139d38c30205">◆ </a></span>Layer() <span class="overload">[1/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_layer.xhtml">Layer</a> </td> + <td>(</td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>numInputSlots</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>numOutputSlots</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> </td> + <td class="paramname"><em>type</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const char * </td> + <td class="paramname"><em>name</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="paramname">name</td><td>- <a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a> name for the layer (may be nullptr). </td></tr> + </table> + </dd> +</dl> + +<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.xhtml#l00213">213</a> of file <a class="el" href="_layer_8cpp_source.xhtml">Layer.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_layer_8hpp_source.xhtml#l00231">Layer::GetInputSlots()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00371">Layer::m_OutputHandlers</a>, and <a class="el" href="_workload_data_collector_8hpp_source.xhtml#l00024">WorkloadDataCollector::Push()</a>.</p> +<div class="fragment"><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> : <a class="code" href="classarmnn_1_1_layer.xhtml#a5e5ae420d199a0bccae5139d38c30205">Layer</a>(numInputSlots, numOutputSlots, type, <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">DataLayout::NCHW</a>, name)</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> {</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> }</div><div class="ttc" id="classarmnn_1_1_layer_xhtml_a5e5ae420d199a0bccae5139d38c30205"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a5e5ae420d199a0bccae5139d38c30205">armnn::Layer::Layer</a></div><div class="ttdeci">Layer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00213">Layer.cpp:213</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a395d070748c18d903705799360088e80"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a395d070748c18d903705799360088e80">◆ </a></span>Layer() <span class="overload">[2/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_layer.xhtml">Layer</a> </td> + <td>(</td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>numInputSlots</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>numOutputSlots</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> </td> + <td class="paramname"><em>type</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> </td> + <td class="paramname"><em>layout</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const char * </td> + <td class="paramname"><em>name</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.xhtml#l00187">187</a> of file <a class="el" href="_layer_8cpp_source.xhtml">Layer.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, and <a class="el" href="_layer_8hpp_source.xhtml#l00371">Layer::m_OutputHandlers</a>.</p> +<div class="fragment"><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> : <a class="code" href="classarmnn_1_1_layer.xhtml#aa44d91037bba52ba0dec6577509ade3b">m_OutputHandlers</a>(numOutputSlots)</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> , m_LayerName(name ? name : <span class="stringliteral">""</span>)</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> , m_Type(type)</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> , m_BackendId()</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> , m_BackendHint(EmptyOptional())</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> , m_Guid(<a class="code" href="classarmnn_1_1profiling_1_1_profiling_service.xhtml#a6d016886de3596fe67dbabf107168f97">profiling::ProfilingService::Instance</a>().NextGuid())</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> {</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(layout);</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  m_InputSlots.reserve(numInputSlots);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numInputSlots; ++i)</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  {</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  m_InputSlots.emplace_back(*<span class="keyword">this</span>, i);</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  }</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  m_OutputSlots.reserve(numOutputSlots);</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numOutputSlots; ++i)</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  {</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  m_OutputSlots.emplace_back(*<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer.xhtml#aa44d91037bba52ba0dec6577509ade3b">m_OutputHandlers</a>[i]);</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  }</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> }</div><div class="ttc" id="classarmnn_1_1profiling_1_1_profiling_service_xhtml_a6d016886de3596fe67dbabf107168f97"><div class="ttname"><a href="classarmnn_1_1profiling_1_1_profiling_service.xhtml#a6d016886de3596fe67dbabf107168f97">armnn::profiling::ProfilingService::Instance</a></div><div class="ttdeci">static ProfilingService & Instance()</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_service_8hpp_source.xhtml#l00052">ProfilingService.hpp:52</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_aa44d91037bba52ba0dec6577509ade3b"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aa44d91037bba52ba0dec6577509ade3b">armnn::Layer::m_OutputHandlers</a></div><div class="ttdeci">std::vector< OutputHandler > m_OutputHandlers</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00371">Layer.hpp:371</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aacfb208d750bdfce1bbd423e5cac76e2"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aacfb208d750bdfce1bbd423e5cac76e2">◆ </a></span>~Layer()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">virtual ~<a class="el" href="classarmnn_1_1_layer.xhtml">Layer</a> </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">protected</span><span class="mlabel">virtual</span><span class="mlabel">default</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +</div> +</div> +<h2 class="groupheader">Member Function Documentation</h2> +<a id="a339248d89d5e21534ecf74b4393ed4d2"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a339248d89d5e21534ecf74b4393ed4d2">◆ </a></span>AddRelatedLayerName()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">void AddRelatedLayerName </td> + <td>(</td> + <td class="paramtype">const std::string </td> + <td class="paramname"><em>layerName</em></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00318">318</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> { m_RelatedLayerNames.emplace_back(layerName); }</div></div><!-- fragment --> +</div> +</div> +<a id="a43a46eafee5c08787ab17b4342730c20"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a43a46eafee5c08787ab17b4342730c20">◆ </a></span>BackendSelectionHint()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">void BackendSelectionHint </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a>< <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> > </td> + <td class="paramname"><em>backend</em></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">final</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Provide a hint for the optimizer as to which backend to prefer for this layer. </p> + +<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a833170f92e96b3ef414b6cf6e5720d2b">IConnectableLayer</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00324">324</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_optimizer_tests_8cpp_source.xhtml#l00685">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  {</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  m_BackendHint = backend;</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  }</div></div><!-- fragment --> +</div> +</div> +<a id="af6cb8de21ef0da269ec9b67755ae92a0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af6cb8de21ef0da269ec9b67755ae92a0">◆ </a></span>BeginInputSlots()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">std::vector<<a class="el" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>>::iterator BeginInputSlots </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00235">235</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_network_utils_8cpp_source.xhtml#l00040">armnn::InsertConvertFp16ToFp32LayersBefore()</a>, <a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.xhtml#l00018">ConvertFp32NetworkToFp16Impl::Run()</a>, <a class="el" href="_move_permute_up_8hpp_source.xhtml#l00022">MovePermuteUpImpl::Run()</a>, and <a class="el" href="_move_transpose_up_8hpp_source.xhtml#l00022">MoveTransposeUpImpl::Run()</a>.</p> +<div class="fragment"><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> { <span class="keywordflow">return</span> m_InputSlots.begin(); }</div></div><!-- fragment --> +</div> +</div> +<a id="a817d4be6dd88f532d36f51748ec14185"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a817d4be6dd88f532d36f51748ec14185">◆ </a></span>BeginOutputSlots()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">std::vector<<a class="el" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>>::iterator BeginOutputSlots </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00239">239</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_graph_8cpp_source.xhtml#l00028">Graph::Graph()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00112">armnn::InsertDebugLayerAfter()</a>, <a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.xhtml#l00018">ConvertFp32NetworkToFp16Impl::Run()</a>, and <a class="el" href="_squash_equal_siblings_8hpp_source.xhtml#l00024">SquashEqualSiblingsImpl< Comparable >::Run()</a>.</p> +<div class="fragment"><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> { <span class="keywordflow">return</span> m_OutputSlots.begin(); }</div></div><!-- fragment --> +</div> +</div> +<a id="ae89ff455503aa106d00bf34103d2f2e0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae89ff455503aa106d00bf34103d2f2e0">◆ </a></span>Clone()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">virtual <a class="el" href="classarmnn_1_1_layer.xhtml">Layer</a>* Clone </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_graph.xhtml">Graph</a> & </td> + <td class="paramname"><em>graph</em></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Creates a dynamically-allocated copy of this layer. </p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">graph</td><td>- The <a class="el" href="classarmnn_1_1_graph.xhtml">Graph</a> into which this <a class="el" href="classarmnn_1_1_layer.xhtml">Layer</a> is being cloned. </td></tr> + </table> + </dd> +</dl> + +<p>Implemented in <a class="el" href="classarmnn_1_1_lstm_layer.xhtml#ac6b352652fb2f722e56f5fd62c57ae09">LstmLayer</a>, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a08edea9423b6da5da174ce5269f6e28b">QuantizedLstmLayer</a>, <a class="el" href="classarmnn_1_1_output_layer.xhtml#a4589aa51155f0836bee3c3ed85f47082">OutputLayer</a>, <a class="el" href="classarmnn_1_1_batch_normalization_layer.xhtml#a0a42b443052ed2114f9b8d8eac8bd7fd">BatchNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_splitter_layer.xhtml#a9e2089cbab017e13409f94da71d75770">SplitterLayer</a>, <a class="el" href="classarmnn_1_1_concat_layer.xhtml#aabac24cc08de52926e6bed5ffdc48dd8">ConcatLayer</a>, <a class="el" href="classarmnn_1_1_convolution2d_layer.xhtml#acf7bec8b795447d4b23e0339a6561044">Convolution2dLayer</a>, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a6f56b4ee567a69e7daf2e9bd3053646c">DepthwiseConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_fully_connected_layer.xhtml#ae23412fdfc6726dc1823a18f5e84f8a9">FullyConnectedLayer</a>, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.xhtml#a0ad3ca858bd49041c1a5ce793312dcf8">TransposeConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_detection_post_process_layer.xhtml#a8d3b0c5e823f04841d74a2647e6a5246">DetectionPostProcessLayer</a>, <a class="el" href="classarmnn_1_1_pre_compiled_layer.xhtml#a3a08acd0b68fad7b8116e35c8702d23e">PreCompiledLayer</a>, <a class="el" href="classarmnn_1_1_constant_layer.xhtml#a5340a3dbbc84afba95fe19d1c8b5fb04">ConstantLayer</a>, <a class="el" href="classarmnn_1_1_arg_min_max_layer.xhtml#a043d6257a58f7fee75b00d10006549b2">ArgMinMaxLayer</a>, <a class="el" href="classarmnn_1_1_comparison_layer.xhtml#abbb77b1ee8b485ccd194db4c983a6b07">ComparisonLayer</a>, <a class="el" href="classarmnn_1_1_convert_fp16_to_fp32_layer.xhtml#a284feab21ac5f71ff86b664e3c55c13d">ConvertFp16ToFp32Layer</a>, <a class="el" href="classarmnn_1_1_depth_to_space_layer.xhtml#a1c96a186c37deb90b7f0dd223894fa30">DepthToSpaceLayer</a>, <a class="el" href="classarmnn_1_1_division_layer.xhtml#a4b6e34239c98d4c6363c83e0de44c19c">DivisionLayer</a>, <a class="el" href="classarmnn_1_1_elementwise_unary_layer.xhtml#ab25eba589122a31db3433851bdb77d14">ElementwiseUnaryLayer</a>, <a class="el" href="classarmnn_1_1_gather_layer.xhtml#a3a6486888f04bdb311ab04ce752082e4">GatherLayer</a>, <a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml#a1ee115ea0c7522119fe3fa919094d856">LogSoftmaxLayer</a>, <a class="el" href="classarmnn_1_1_maximum_layer.xhtml#a045edc8bf3182c9763f622d69dcc5f63">MaximumLayer</a>, <a class="el" href="classarmnn_1_1_mean_layer.xhtml#a12a07b8514277e7db725c483e3ab6d03">MeanLayer</a>, <a class="el" href="classarmnn_1_1_minimum_layer.xhtml#a3f18bd606ab297e5aa4178c704d25f7c">MinimumLayer</a>, <a class="el" href="classarmnn_1_1_multiplication_layer.xhtml#a84886e4e27e7b3d775f9e5f53ef792d5">MultiplicationLayer</a>, <a class="el" href="classarmnn_1_1_pad_layer.xhtml#a3664d3e6f5555f990d8615fc512b1d66">PadLayer</a>, <a class="el" href="classarmnn_1_1_prelu_layer.xhtml#af5dd85c2adbf7e9f95d9c984157620a9">PreluLayer</a>, <a class="el" href="classarmnn_1_1_space_to_batch_nd_layer.xhtml#aa00f5b65b97ab5d525bcff625e85f2dc">SpaceToBatchNdLayer</a>, <a class="el" href="classarmnn_1_1_space_to_depth_layer.xhtml#a63f13ce7bafa57a2505563c83579d414">SpaceToDepthLayer</a>, <a class="el" href="classarmnn_1_1_stand_in_layer.xhtml#a7283be538a107c461d94f3e64d5dda42">StandInLayer</a>, <a class="el" href="classarmnn_1_1_subtraction_layer.xhtml#a8f5e68f921977058e5e1d9287b30b9b6">SubtractionLayer</a>, <a class="el" href="classarmnn_1_1_abs_layer.xhtml#a0e4116c410fad8f9412b92919db9f709">AbsLayer</a>, <a class="el" href="classarmnn_1_1_addition_layer.xhtml#a841977670b8ce23be34e2c59b601261d">AdditionLayer</a>, <a class="el" href="classarmnn_1_1_batch_to_space_nd_layer.xhtml#acea3e9bebacf2e28a07c81803d87049a">BatchToSpaceNdLayer</a>, <a class="el" href="classarmnn_1_1_convert_fp32_to_fp16_layer.xhtml#a7c7e9daf8cb913b45086170030f387db">ConvertFp32ToFp16Layer</a>, <a class="el" href="classarmnn_1_1_debug_layer.xhtml#aa516db393d0c0264fd7f5a0fe2d053b7">DebugLayer</a>, <a class="el" href="classarmnn_1_1_dequantize_layer.xhtml#a6a9cc35b8905d1a1819225d31a93d020">DequantizeLayer</a>, <a class="el" href="classarmnn_1_1_fake_quantization_layer.xhtml#a5dbcb10b38be8b8da9507005c970d601">FakeQuantizationLayer</a>, <a class="el" href="classarmnn_1_1_floor_layer.xhtml#acd412ed7f96e8b8db66250bba6f3d6ba">FloorLayer</a>, <a class="el" href="classarmnn_1_1_input_layer.xhtml#a55eb3d90093b47ba36a4c6467bbb975d">InputLayer</a>, <a class="el" href="classarmnn_1_1_instance_normalization_layer.xhtml#adb99489b451c28860024196ef2228700">InstanceNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_l2_normalization_layer.xhtml#a5c7d477f65ced1cd35cb3381d3579393">L2NormalizationLayer</a>, <a class="el" href="classarmnn_1_1_mem_copy_layer.xhtml#a0df281cfac9339574aec2dce1a1631da">MemCopyLayer</a>, <a class="el" href="classarmnn_1_1_mem_import_layer.xhtml#a19f4f800a45aac9473090b85e147acc0">MemImportLayer</a>, <a class="el" href="classarmnn_1_1_merge_layer.xhtml#a1ff5e058af2623a5d1a8a5e1663821bd">MergeLayer</a>, <a class="el" href="classarmnn_1_1_normalization_layer.xhtml#a80b3bd0706d7333aa5f96dba6982b9a9">NormalizationLayer</a>, <a class="el" href="classarmnn_1_1_permute_layer.xhtml#af3fc26f602263fd5acbe5ff31e98da5b">PermuteLayer</a>, <a class="el" href="classarmnn_1_1_pooling2d_layer.xhtml#adf1236c5347b7e42a805289ac671e4e3">Pooling2dLayer</a>, <a class="el" href="classarmnn_1_1_reshape_layer.xhtml#a089160274dcda58247b8a22dd1dddfa7">ReshapeLayer</a>, <a class="el" href="classarmnn_1_1_resize_layer.xhtml#a4eb20df5c6b827ce8ae0d883d0cebcde">ResizeLayer</a>, <a class="el" href="classarmnn_1_1_rsqrt_layer.xhtml#a71a3d84b5820d9777ed92a570e4fb75b">RsqrtLayer</a>, <a class="el" href="classarmnn_1_1_slice_layer.xhtml#af58dcf66fc1339a693e4087791b6a0fc">SliceLayer</a>, <a class="el" href="classarmnn_1_1_softmax_layer.xhtml#a3df177d5eaa4d11373609991930ce3cd">SoftmaxLayer</a>, <a class="el" href="classarmnn_1_1_stack_layer.xhtml#ae4e60b5523a7a1db08e9c87915b5a88e">StackLayer</a>, <a class="el" href="classarmnn_1_1_strided_slice_layer.xhtml#aaa60bec8ce7cb41f20dd031b5e9ece03">StridedSliceLayer</a>, <a class="el" href="classarmnn_1_1_switch_layer.xhtml#a99c6c028dc7f110a2cc01a9e8e3966d1">SwitchLayer</a>, <a class="el" href="classarmnn_1_1_activation_layer.xhtml#aa5206ffba99e78aa257977c30de096d8">ActivationLayer</a>, <a class="el" href="classarmnn_1_1_transpose_layer.xhtml#aeda9204b7b0de5754485ae03b1a7e55f">TransposeLayer</a>, and <a class="el" href="classarmnn_1_1_quantize_layer.xhtml#ab5045fc8d66572ecba03096ced51a994">QuantizeLayer</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_graph_8cpp_source.xhtml#l00028">Graph::Graph()</a>.</p> + +</div> +</div> +<a id="aa10fd205c3f5469a9ecb2aa2a3ffd101"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa10fd205c3f5469a9ecb2aa2a3ffd101">◆ </a></span>CloneBase()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> * CloneBase </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_graph.xhtml">Graph</a> & </td> + <td class="paramname"><em>graph</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">Params &&... </td> + <td class="paramname"><em>params</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">protected</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_clone_base_8hpp_source.xhtml#l00014">14</a> of file <a class="el" href="_layer_clone_base_8hpp_source.xhtml">LayerCloneBase.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_graph_8hpp_source.xhtml#l00397">Graph::AddLayer()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00263">Layer::GetBackendId()</a>, and <a class="el" href="_layer_8hpp_source.xhtml#l00316">Layer::GetGuid()</a>.</p> +<div class="fragment"><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>* <span class="keyword">const</span> layer = graph.AddLayer<<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>>(std::forward<Params>(params)...);</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  layer->SetBackendId(<a class="code" href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">GetBackendId</a>());</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  layer->SetGuid(<a class="code" href="classarmnn_1_1_layer.xhtml#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>());</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keywordflow">return</span> layer;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> }</div><div class="ttc" id="classarmnn_1_1_layer_xhtml_afdb1d37740e7a083b625d669588b6a0e"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#afdb1d37740e7a083b625d669588b6a0e">armnn::Layer::GetBackendId</a></div><div class="ttdeci">const BackendId & GetBackendId() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00263">Layer.hpp:263</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.xhtml#l00014">InternalTypes.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a8dc12f0ee5b232d397bd18ced1a72a64"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a8dc12f0ee5b232d397bd18ced1a72a64">armnn::Layer::GetGuid</a></div><div class="ttdeci">LayerGuid GetGuid() const final</div><div class="ttdoc">Returns the unique id of the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00316">Layer.hpp:316</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="afc3239f5fc116259bf5451964e803646"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afc3239f5fc116259bf5451964e803646">◆ </a></span>CollectQueueDescriptorInputs()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">void CollectQueueDescriptorInputs </td> + <td>(</td> + <td class="paramtype"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> + <td class="paramname"><em>info</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">protected</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00336">336</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_workload_data_8hpp_source.xhtml#l00030">QueueDescriptor::m_Inputs</a>, and <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00018">WorkloadInfo::m_InputTensorInfos</a>.</p> +<div class="fragment"><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  {</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  WorkloadDataCollector dataCollector(descriptor.m_Inputs, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos);</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  CollectWorkloadInputs(dataCollector);</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  }</div><div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a499ca5a94d0174ed21786b6994b2cd8c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a499ca5a94d0174ed21786b6994b2cd8c">◆ </a></span>CollectQueueDescriptorOutputs()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">void CollectQueueDescriptorOutputs </td> + <td>(</td> + <td class="paramtype"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> & </td> + <td class="paramname"><em>info</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">protected</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00343">343</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_workload_data_8hpp_source.xhtml#l00031">QueueDescriptor::m_Outputs</a>, and <a class="el" href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00019">WorkloadInfo::m_OutputTensorInfos</a>.</p> +<div class="fragment"><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  WorkloadDataCollector dataCollector(descriptor.m_Outputs, <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos);</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  CollectWorkloadOutputs(dataCollector);</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  }</div><div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a3ff62126ec713a2708e5fbaa6146a7de"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3ff62126ec713a2708e5fbaa6146a7de">◆ </a></span>CreateTensorHandles()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">void CreateTensorHandles </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_handle_factory_registry.xhtml">TensorHandleFactoryRegistry</a> & </td> + <td class="paramname"><em>registry</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a> & </td> + <td class="paramname"><em>factory</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const bool </td> + <td class="paramname"><em>IsMemoryManaged</em> = <code><a class="el" href="_ref_layer_tests_8cpp.xhtml#a37f1c3ccc9fc906be85185350dd83d48">true</a></code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_splitter_layer.xhtml#a7763728321afb4eb0d1d00323c3e9121">SplitterLayer</a>, <a class="el" href="classarmnn_1_1_concat_layer.xhtml#a7763728321afb4eb0d1d00323c3e9121">ConcatLayer</a>, and <a class="el" href="classarmnn_1_1_output_layer.xhtml#aa88768cc82b080dddd5737bd91683649">OutputLayer</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.xhtml#l00240">240</a> of file <a class="el" href="_layer_8cpp_source.xhtml">Layer.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_output_handler_8cpp_source.xhtml#l00023">OutputHandler::CreateTensorHandles()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.xhtml#l00039">TensorHandleFactoryRegistry::GetFactory()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00308">Layer::GetNumOutputSlots()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00221">Layer::GetOutputHandler()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00312">Layer::GetOutputSlot()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00172">OutputSlot::GetTensorHandleFactoryId()</a>, and <a class="el" href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00022">ITensorHandleFactory::LegacyFactoryId</a>.</p> +<div class="fragment"><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> {</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx=0; idx < <a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>(); idx++)</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  {</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> </div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  OutputSlot& slot = <a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(idx);</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">ITensorHandleFactory::FactoryId</a> factoryId = slot.GetTensorHandleFactoryId();</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> </div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  OutputHandler& handler = <a class="code" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>(idx);</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">if</span> (factoryId == <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">ITensorHandleFactory::LegacyFactoryId</a>)</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  {</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  handler.CreateTensorHandles(workloadFactory, IsMemoryManaged);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  }</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  {</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  ITensorHandleFactory* handleFactory = registry.GetFactory(factoryId);</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  BOOST_ASSERT(handleFactory);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  handler.CreateTensorHandles(*handleFactory, IsMemoryManaged);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  }</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  }</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> }</div><div class="ttc" id="classarmnn_1_1_layer_xhtml_a1594bddc87d6477df300317658f566bb"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">armnn::Layer::GetNumOutputSlots</a></div><div class="ttdeci">unsigned int GetNumOutputSlots() const override</div><div class="ttdoc">Returns the number of connectable output slots. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00308">Layer.hpp:308</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_af2c0edc7ea62a8baaec4d3d9b2b09256"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">armnn::Layer::GetOutputHandler</a></div><div class="ttdeci">const OutputHandler & GetOutputHandler(unsigned int i=0) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00221">Layer.hpp:221</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a32f4aa6a7089d877af08928139c2c277"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a32f4aa6a7089d877af08928139c2c277">armnn::ITensorHandleFactory::FactoryId</a></div><div class="ttdeci">std::string FactoryId</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00021">ITensorHandleFactory.hpp:21</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00312">Layer.hpp:312</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a9c95f90eb40e31f629e0e2947b8bc6f9"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a9c95f90eb40e31f629e0e2947b8bc6f9">armnn::ITensorHandleFactory::LegacyFactoryId</a></div><div class="ttdeci">static const FactoryId LegacyFactoryId</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00022">ITensorHandleFactory.hpp:22</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a08d1e10a45f15cd0bd02557be35a3864"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a08d1e10a45f15cd0bd02557be35a3864">◆ </a></span>CreateWorkload()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">virtual std::unique_ptr<<a class="el" href="classarmnn_1_1_i_workload.xhtml">IWorkload</a>> CreateWorkload </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a> & </td> + <td class="paramname"><em>factory</em></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Implemented in <a class="el" href="classarmnn_1_1_lstm_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">LstmLayer</a>, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">QuantizedLstmLayer</a>, <a class="el" href="classarmnn_1_1_batch_normalization_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">BatchNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_convolution2d_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">Convolution2dLayer</a>, <a class="el" href="classarmnn_1_1_pre_compiled_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">PreCompiledLayer</a>, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">DepthwiseConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_fully_connected_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">FullyConnectedLayer</a>, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">TransposeConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_detection_post_process_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">DetectionPostProcessLayer</a>, <a class="el" href="classarmnn_1_1_constant_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">ConstantLayer</a>, <a class="el" href="classarmnn_1_1_arg_min_max_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">ArgMinMaxLayer</a>, <a class="el" href="classarmnn_1_1_comparison_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">ComparisonLayer</a>, <a class="el" href="classarmnn_1_1_convert_fp16_to_fp32_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">ConvertFp16ToFp32Layer</a>, <a class="el" href="classarmnn_1_1_depth_to_space_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">DepthToSpaceLayer</a>, <a class="el" href="classarmnn_1_1_division_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">DivisionLayer</a>, <a class="el" href="classarmnn_1_1_elementwise_unary_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">ElementwiseUnaryLayer</a>, <a class="el" href="classarmnn_1_1_gather_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">GatherLayer</a>, <a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">LogSoftmaxLayer</a>, <a class="el" href="classarmnn_1_1_maximum_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">MaximumLayer</a>, <a class="el" href="classarmnn_1_1_mean_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">MeanLayer</a>, <a class="el" href="classarmnn_1_1_minimum_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">MinimumLayer</a>, <a class="el" href="classarmnn_1_1_multiplication_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">MultiplicationLayer</a>, <a class="el" href="classarmnn_1_1_pad_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">PadLayer</a>, <a class="el" href="classarmnn_1_1_prelu_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">PreluLayer</a>, <a class="el" href="classarmnn_1_1_space_to_batch_nd_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">SpaceToBatchNdLayer</a>, <a class="el" href="classarmnn_1_1_space_to_depth_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">SpaceToDepthLayer</a>, <a class="el" href="classarmnn_1_1_stand_in_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">StandInLayer</a>, <a class="el" href="classarmnn_1_1_subtraction_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">SubtractionLayer</a>, <a class="el" href="classarmnn_1_1_abs_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">AbsLayer</a>, <a class="el" href="classarmnn_1_1_addition_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">AdditionLayer</a>, <a class="el" href="classarmnn_1_1_batch_to_space_nd_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">BatchToSpaceNdLayer</a>, <a class="el" href="classarmnn_1_1_concat_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">ConcatLayer</a>, <a class="el" href="classarmnn_1_1_convert_fp32_to_fp16_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">ConvertFp32ToFp16Layer</a>, <a class="el" href="classarmnn_1_1_debug_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">DebugLayer</a>, <a class="el" href="classarmnn_1_1_dequantize_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">DequantizeLayer</a>, <a class="el" href="classarmnn_1_1_fake_quantization_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">FakeQuantizationLayer</a>, <a class="el" href="classarmnn_1_1_floor_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">FloorLayer</a>, <a class="el" href="classarmnn_1_1_input_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">InputLayer</a>, <a class="el" href="classarmnn_1_1_instance_normalization_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">InstanceNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_l2_normalization_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">L2NormalizationLayer</a>, <a class="el" href="classarmnn_1_1_mem_copy_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">MemCopyLayer</a>, <a class="el" href="classarmnn_1_1_mem_import_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">MemImportLayer</a>, <a class="el" href="classarmnn_1_1_merge_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">MergeLayer</a>, <a class="el" href="classarmnn_1_1_normalization_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">NormalizationLayer</a>, <a class="el" href="classarmnn_1_1_output_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">OutputLayer</a>, <a class="el" href="classarmnn_1_1_permute_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">PermuteLayer</a>, <a class="el" href="classarmnn_1_1_pooling2d_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">Pooling2dLayer</a>, <a class="el" href="classarmnn_1_1_quantize_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">QuantizeLayer</a>, <a class="el" href="classarmnn_1_1_reshape_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">ReshapeLayer</a>, <a class="el" href="classarmnn_1_1_resize_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">ResizeLayer</a>, <a class="el" href="classarmnn_1_1_rsqrt_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">RsqrtLayer</a>, <a class="el" href="classarmnn_1_1_slice_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">SliceLayer</a>, <a class="el" href="classarmnn_1_1_softmax_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">SoftmaxLayer</a>, <a class="el" href="classarmnn_1_1_splitter_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">SplitterLayer</a>, <a class="el" href="classarmnn_1_1_stack_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">StackLayer</a>, <a class="el" href="classarmnn_1_1_strided_slice_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">StridedSliceLayer</a>, <a class="el" href="classarmnn_1_1_switch_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">SwitchLayer</a>, <a class="el" href="classarmnn_1_1_activation_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">ActivationLayer</a>, and <a class="el" href="classarmnn_1_1_transpose_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">TransposeLayer</a>.</p> + +</div> +</div> +<a id="a9752e12d6b79e18da1a25f76159d2a72"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9752e12d6b79e18da1a25f76159d2a72">◆ </a></span>EndInputSlots()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">std::vector<<a class="el" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>>::iterator EndInputSlots </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00236">236</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_network_utils_8cpp_source.xhtml#l00040">armnn::InsertConvertFp16ToFp32LayersBefore()</a>, <a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.xhtml#l00018">ConvertFp32NetworkToFp16Impl::Run()</a>, <a class="el" href="_move_permute_up_8hpp_source.xhtml#l00022">MovePermuteUpImpl::Run()</a>, and <a class="el" href="_move_transpose_up_8hpp_source.xhtml#l00022">MoveTransposeUpImpl::Run()</a>.</p> +<div class="fragment"><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> { <span class="keywordflow">return</span> m_InputSlots.end(); }</div></div><!-- fragment --> +</div> +</div> +<a id="a55f76d98fcd2f5cdac3e2b14536cb7ab"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a55f76d98fcd2f5cdac3e2b14536cb7ab">◆ </a></span>EndOutputSlots()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">std::vector<<a class="el" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>>::iterator EndOutputSlots </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00240">240</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_network_utils_8cpp_source.xhtml#l00112">armnn::InsertDebugLayerAfter()</a>, and <a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.xhtml#l00018">ConvertFp32NetworkToFp16Impl::Run()</a>.</p> +<div class="fragment"><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> { <span class="keywordflow">return</span> m_OutputSlots.end(); }</div></div><!-- fragment --> +</div> +</div> +<a id="a6ff80e440308295056b57e2adaa42888"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6ff80e440308295056b57e2adaa42888">◆ </a></span>GetBackendHint()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_optional.xhtml">Optional</a><<a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a>> GetBackendHint </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00328">328</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00328"></a><span class="lineno"> 328</span> { <span class="keywordflow">return</span> m_BackendHint; }</div></div><!-- fragment --> +</div> +</div> +<a id="afdb1d37740e7a083b625d669588b6a0e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afdb1d37740e7a083b625d669588b6a0e">◆ </a></span>GetBackendId()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">const <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a>& GetBackendId </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00263">263</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_graph_8cpp_source.xhtml#l00263">Graph::AddCompatibilityLayers()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00428">armnn::ApplyBackendOptimizations()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00149">armnn::AttemptBackendAssignment()</a>, <a class="el" href="_subgraph_view_tests_8cpp_source.xhtml#l01337">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00747">armnn::CalculateEdgeStrategy()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00638">armnn::CalculateSlotOption()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00546">armnn::CalculateSlotOptionForInput()</a>, <a class="el" href="_layer_clone_base_8hpp_source.xhtml#l00014">Layer::CloneBase()</a>, <a class="el" href="_loaded_network_8cpp_source.xhtml#l00277">LoadedNetwork::GetOutputTensorInfo()</a>, and <a class="el" href="_network_8cpp_source.xhtml#l00824">armnn::SelectTensorHandleStrategy()</a>.</p> +<div class="fragment"><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> { <span class="keywordflow">return</span> m_BackendId; }</div></div><!-- fragment --> +</div> +</div> +<a id="afbeac2d77ecaadc3e303a163b4146961"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afbeac2d77ecaadc3e303a163b4146961">◆ </a></span>GetConstantTensorsByRef()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">virtual <a class="el" href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">ConstantTensors</a> GetConstantTensorsByRef </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">protected</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_lstm_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">LstmLayer</a>, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">QuantizedLstmLayer</a>, <a class="el" href="classarmnn_1_1_convolution2d_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">Convolution2dLayer</a>, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">DepthwiseConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_fully_connected_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">FullyConnectedLayer</a>, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">TransposeConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_batch_normalization_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">BatchNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_constant_layer.xhtml#a8107df0f1cbbd67eaf174d9459f3669d">ConstantLayer</a>, and <a class="el" href="classarmnn_1_1_detection_post_process_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">DetectionPostProcessLayer</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00364">364</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00364"></a><span class="lineno"> 364</span> {<span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">ConstantTensors</a>(); };</div><div class="ttc" id="classarmnn_1_1_layer_xhtml_a585d59ec610af46a76487fd6c1c55ac1"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">armnn::Layer::ConstantTensors</a></div><div class="ttdeci">std::vector< std::reference_wrapper< std::unique_ptr< ScopedCpuTensorHandle > >> ConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00363">Layer.hpp:363</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aea909c7327109228ef618d459015def3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aea909c7327109228ef618d459015def3">◆ </a></span>GetDataType()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> GetDataType </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.xhtml#l00273">273</a> of file <a class="el" href="_layer_8cpp_source.xhtml">Layer.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_layer_8hpp_source.xhtml#l00199">InputSlot::GetConnection()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00095">TensorInfo::GetDataType()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00310">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00307">Layer::GetNumInputSlots()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00312">Layer::GetOutputSlot()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</a>, and <a class="el" href="_layer_8cpp_source.xhtml#l00063">OutputSlot::GetTensorInfo()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_optimizer_tests_8cpp_source.xhtml#l00163">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.xhtml#l00018">ConvertFp32NetworkToFp16Impl::Run()</a>, <a class="el" href="_convert_constants_8hpp_source.xhtml#l00086">IsFloat32Layer::Test()</a>, and <a class="el" href="_convert_constants_8hpp_source.xhtml#l00094">IsFloat16Layer::Test()</a>.</p> +<div class="fragment"><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> {</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() > 0) <span class="comment">// Ignore the input layer.</span></div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  {</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>();</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  }</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>();</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> }</div><div class="ttc" id="classarmnn_1_1_layer_xhtml_abc0660dc440c8a285b456c9ef6383c26"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">armnn::Layer::GetNumInputSlots</a></div><div class="ttdeci">unsigned int GetNumInputSlots() const override</div><div class="ttdoc">Returns the number of connectable input slots. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00307">Layer.hpp:307</a></div></div> +<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a3153abb7c0c0a84629079b2fac7db54f"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">armnn::InputSlot::GetConnection</a></div><div class="ttdeci">const IOutputSlot * GetConnection() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00199">Layer.hpp:199</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00310">Layer.hpp:310</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00095">Tensor.hpp:95</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00312">Layer.hpp:312</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo & GetTensorInfo() const =0</div></div> +<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00063">Layer.cpp:63</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a8dc12f0ee5b232d397bd18ced1a72a64"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8dc12f0ee5b232d397bd18ced1a72a64">◆ </a></span>GetGuid()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="namespacearmnn.xhtml#afad4088a9a058114ee5f87246f87bf49">LayerGuid</a> GetGuid </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">final</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Returns the unique id of the layer. </p> + +<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#afb5e65c770f6cee222db8af7581541a6">IConnectableLayer</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00316">316</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_layer_clone_base_8hpp_source.xhtml#l00014">Layer::CloneBase()</a>, <a class="el" href="_debug_layer_8cpp_source.xhtml#l00020">DebugLayer::CreateWorkload()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00162">OutputSlot::GetOwningLayerGuid()</a>, <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00014">QuantizerVisitor::QuantizerVisitor()</a>, and <a class="el" href="_graph_8cpp_source.xhtml#l00081">Graph::SerializeToDot()</a>.</p> +<div class="fragment"><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> { <span class="keywordflow">return</span> m_Guid; }</div></div><!-- fragment --> +</div> +</div> +<a id="acf8b8e23bf647836592982f97088d375"></a> +<h2 class="memtitle"><span class="permalink"><a href="#acf8b8e23bf647836592982f97088d375">◆ </a></span>GetInputSlot() <span class="overload">[1/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">const <a class="el" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>& GetInputSlot </td> + <td>(</td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>index</em></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Get a const input slot handle by slot index. </p> + +<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00310">310</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_graph_tests_8cpp_source.xhtml#l00043">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_graph_tests_8cpp_source.xhtml#l00552">BOOST_FIXTURE_TEST_CASE()</a>, <a class="el" href="_optimizer_tests_8cpp_source.xhtml#l00256">CreateConvolution2dGraph()</a>, <a class="el" href="_optimizer_tests_8cpp_source.xhtml#l00306">CreateDepthwiseConvolution2dGraph()</a>, <a class="el" href="_optimizer_tests_8cpp_source.xhtml#l00448">CreateGatherGraph()</a>, <a class="el" href="_optimizer_tests_8cpp_source.xhtml#l00356">CreatePooling2dGraph()</a>, <a class="el" href="_optimizer_tests_8cpp_source.xhtml#l00404">CreateResizeBilinearGraph()</a>, <a class="el" href="_concat_layer_8cpp_source.xhtml#l00022">ConcatLayer::CreateWorkload()</a>, <a class="el" href="_debug_layer_8cpp_source.xhtml#l00020">DebugLayer::CreateWorkload()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00273">Layer::GetDataType()</a>, <a class="el" href="_graph_8cpp_source.xhtml#l00028">Graph::Graph()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00020">InputSlot::Insert()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00040">armnn::InsertConvertFp16ToFp32LayersBefore()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00079">armnn::InsertConvertFp32ToFp16LayersAfter()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00112">armnn::InsertDebugLayerAfter()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l00045">IWorkloadFactory::IsLayerSupported()</a>, <a class="el" href="_permute_as_reshape_8hpp_source.xhtml#l00018">PermuteAsReshapeImpl::Run()</a>, <a class="el" href="_transpose_as_reshape_8hpp_source.xhtml#l00018">TransposeAsReshapeImpl::Run()</a>, <a class="el" href="_fold_pad_into_convolution2d_8hpp_source.xhtml#l00019">FoldPadIntoConvolution2dImpl::Run()</a>, <a class="el" href="_optimize_consecutive_reshapes_8hpp_source.xhtml#l00019">OptimizeConsecutiveReshapesImpl::Run()</a>, <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.xhtml#l00021">PermuteAndBatchToSpaceAsDepthToSpaceImpl< PermuteType >::Run()</a>, <a class="el" href="_optimize_inverse_conversions_8hpp_source.xhtml#l00021">OptimizeInverseConversionsImpl::Run()</a>, <a class="el" href="_optimize_inverse_permutes_8hpp_source.xhtml#l00022">OptimizeInversePermutesImpl< PermuteType >::Run()</a>, <a class="el" href="_move_permute_up_8hpp_source.xhtml#l00022">MovePermuteUpImpl::Run()</a>, <a class="el" href="_move_transpose_up_8hpp_source.xhtml#l00022">MoveTransposeUpImpl::Run()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00029">DepthwiseConvolution2dLayer::SerializeLayerParameters()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.xhtml#l00029">Convolution2dLayer::SerializeLayerParameters()</a>, <a class="el" href="_elementwise_base_layer_8cpp_source.xhtml#l00051">ElementwiseBaseLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_quantize_layer_8cpp_source.xhtml#l00032">QuantizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_activation_layer_8cpp_source.xhtml#l00031">ActivationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_transpose_layer_8cpp_source.xhtml#l00043">TransposeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_softmax_layer_8cpp_source.xhtml#l00032">SoftmaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_l2_normalization_layer_8cpp_source.xhtml#l00032">L2NormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_batch_to_space_nd_layer_8cpp_source.xhtml#l00044">BatchToSpaceNdLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mem_copy_layer_8cpp_source.xhtml#l00036">MemCopyLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mem_import_layer_8cpp_source.xhtml#l00036">MemImportLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_normalization_layer_8cpp_source.xhtml#l00032">NormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_debug_layer_8cpp_source.xhtml#l00037">DebugLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_merge_layer_8cpp_source.xhtml#l00030">MergeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_permute_layer_8cpp_source.xhtml#l00043">PermuteLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.xhtml#l00103">Pooling2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_dequantize_layer_8cpp_source.xhtml#l00032">DequantizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_resize_layer_8cpp_source.xhtml#l00056">ResizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_abs_layer_8cpp_source.xhtml#l00033">AbsLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_rsqrt_layer_8cpp_source.xhtml#l00033">RsqrtLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_slice_layer_8cpp_source.xhtml#l00037">SliceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_fake_quantization_layer_8cpp_source.xhtml#l00032">FakeQuantizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_stack_layer_8cpp_source.xhtml#l00061">StackLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_switch_layer_8cpp_source.xhtml#l00030">SwitchLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_floor_layer_8cpp_source.xhtml#l00032">FloorLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_instance_normalization_layer_8cpp_source.xhtml#l00032">InstanceNormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp32_to_fp16_layer_8cpp_source.xhtml#l00032">ConvertFp32ToFp16Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_gather_layer_8cpp_source.xhtml#l00032">GatherLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_log_softmax_layer_8cpp_source.xhtml#l00032">LogSoftmaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mean_layer_8cpp_source.xhtml#l00041">MeanLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp16_to_fp32_layer_8cpp_source.xhtml#l00033">ConvertFp16ToFp32Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_elementwise_unary_layer_8cpp_source.xhtml#l00043">ElementwiseUnaryLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_strided_slice_layer_8cpp_source.xhtml#l00076">StridedSliceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_arg_min_max_layer_8cpp_source.xhtml#l00072">ArgMinMaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00097">PreluLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_space_to_depth_layer_8cpp_source.xhtml#l00062">SpaceToDepthLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.xhtml#l00097">TransposeConvolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.xhtml#l00060">DepthToSpaceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00122">DepthwiseConvolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_comparison_layer_8cpp_source.xhtml#l00058">ComparisonLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_fully_connected_layer_8cpp_source.xhtml#l00064">FullyConnectedLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_space_to_batch_nd_layer_8cpp_source.xhtml#l00069">SpaceToBatchNdLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.xhtml#l00115">Convolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_concat_layer_8cpp_source.xhtml#l00244">ConcatLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_batch_normalization_layer_8cpp_source.xhtml#l00051">BatchNormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_output_layer_8cpp_source.xhtml#l00032">OutputLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_quantized_lstm_layer_8cpp_source.xhtml#l00094">QuantizedLstmLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00160">LstmLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_layer_8cpp_source.xhtml#l00338">Layer::VerifyLayerConnections()</a>.</p> +<div class="fragment"><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> { <span class="keywordflow">return</span> m_InputSlots.at(index); }</div></div><!-- fragment --> +</div> +</div> +<a id="a1b50eb1358cdf382f4bc3fc8849f8e8e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1b50eb1358cdf382f4bc3fc8849f8e8e">◆ </a></span>GetInputSlot() <span class="overload">[2/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>& GetInputSlot </td> + <td>(</td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>index</em></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Get the input slot handle by slot index. </p> + +<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#ae3fd4f909aec6a9e150ba82dfad4017f">IConnectableLayer</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00311">311</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> { <span class="keywordflow">return</span> m_InputSlots.at(index); }</div></div><!-- fragment --> +</div> +</div> +<a id="af5f530544d09a44d726f24702b67b35b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af5f530544d09a44d726f24702b67b35b">◆ </a></span>GetInputSlots()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">const std::vector<<a class="el" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a>>& GetInputSlots </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00231">231</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_subgraph_view_tests_8cpp_source.xhtml#l01122">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_splitter_layer_8cpp_source.xhtml#l00021">SplitterLayer::CreateWorkload()</a>, <a class="el" href="_loaded_network_8cpp_source.xhtml#l00412">LoadedNetwork::EnqueueWorkload()</a>, <a class="el" href="_subgraph_view_selector_8cpp_source.xhtml#l00262">armnn::ForEachLayerInput()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00288">Layer::GetPriority()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l00045">IWorkloadFactory::IsLayerSupported()</a>, and <a class="el" href="_layer_8cpp_source.xhtml#l00213">Layer::Layer()</a>.</p> +<div class="fragment"><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> { <span class="keywordflow">return</span> m_InputSlots; }</div></div><!-- fragment --> +</div> +</div> +<a id="a7ddf0cf6f620d59c10e63495ace795d0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7ddf0cf6f620d59c10e63495ace795d0">◆ </a></span>GetName()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">const char* GetName </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Returns the name of the layer. </p> + +<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#afcc1c3a20bd2860e0ddd21674389246f">IConnectableLayer</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00305">305</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_addition_layer_8cpp_source.xhtml#l00033">AdditionLayer::Accept()</a>, <a class="el" href="_quantize_layer_8cpp_source.xhtml#l00044">QuantizeLayer::Accept()</a>, <a class="el" href="_multiplication_layer_8cpp_source.xhtml#l00033">MultiplicationLayer::Accept()</a>, <a class="el" href="_division_layer_8cpp_source.xhtml#l00033">DivisionLayer::Accept()</a>, <a class="el" href="_maximum_layer_8cpp_source.xhtml#l00032">MaximumLayer::Accept()</a>, <a class="el" href="_subtraction_layer_8cpp_source.xhtml#l00033">SubtractionLayer::Accept()</a>, <a class="el" href="_minimum_layer_8cpp_source.xhtml#l00033">MinimumLayer::Accept()</a>, <a class="el" href="_activation_layer_8cpp_source.xhtml#l00045">ActivationLayer::Accept()</a>, <a class="el" href="_abs_layer_8cpp_source.xhtml#l00047">AbsLayer::Accept()</a>, <a class="el" href="_normalization_layer_8cpp_source.xhtml#l00046">NormalizationLayer::Accept()</a>, <a class="el" href="_floor_layer_8cpp_source.xhtml#l00046">FloorLayer::Accept()</a>, <a class="el" href="_input_layer_8cpp_source.xhtml#l00038">InputLayer::Accept()</a>, <a class="el" href="_instance_normalization_layer_8cpp_source.xhtml#l00046">InstanceNormalizationLayer::Accept()</a>, <a class="el" href="_rsqrt_layer_8cpp_source.xhtml#l00047">RsqrtLayer::Accept()</a>, <a class="el" href="_softmax_layer_8cpp_source.xhtml#l00046">SoftmaxLayer::Accept()</a>, <a class="el" href="_l2_normalization_layer_8cpp_source.xhtml#l00046">L2NormalizationLayer::Accept()</a>, <a class="el" href="_switch_layer_8cpp_source.xhtml#l00054">SwitchLayer::Accept()</a>, <a class="el" href="_dequantize_layer_8cpp_source.xhtml#l00047">DequantizeLayer::Accept()</a>, <a class="el" href="_pad_layer_8cpp_source.xhtml#l00044">PadLayer::Accept()</a>, <a class="el" href="_gather_layer_8cpp_source.xhtml#l00062">GatherLayer::Accept()</a>, <a class="el" href="_log_softmax_layer_8cpp_source.xhtml#l00045">LogSoftmaxLayer::Accept()</a>, <a class="el" href="_mean_layer_8cpp_source.xhtml#l00102">MeanLayer::Accept()</a>, <a class="el" href="_merge_layer_8cpp_source.xhtml#l00060">MergeLayer::Accept()</a>, <a class="el" href="_arg_min_max_layer_8cpp_source.xhtml#l00086">ArgMinMaxLayer::Accept()</a>, <a class="el" href="_detection_post_process_layer_8cpp_source.xhtml#l00075">DetectionPostProcessLayer::Accept()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.xhtml#l00117">Pooling2dLayer::Accept()</a>, <a class="el" href="_elementwise_unary_layer_8cpp_source.xhtml#l00057">ElementwiseUnaryLayer::Accept()</a>, <a class="el" href="_resize_layer_8cpp_source.xhtml#l00070">ResizeLayer::Accept()</a>, <a class="el" href="_slice_layer_8cpp_source.xhtml#l00061">SliceLayer::Accept()</a>, <a class="el" href="_batch_to_space_nd_layer_8cpp_source.xhtml#l00095">BatchToSpaceNdLayer::Accept()</a>, <a class="el" href="_stack_layer_8cpp_source.xhtml#l00095">StackLayer::Accept()</a>, <a class="el" href="_strided_slice_layer_8cpp_source.xhtml#l00090">StridedSliceLayer::Accept()</a>, <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00115">PreluLayer::Accept()</a>, <a class="el" href="_space_to_batch_nd_layer_8cpp_source.xhtml#l00084">SpaceToBatchNdLayer::Accept()</a>, <a class="el" href="_space_to_depth_layer_8cpp_source.xhtml#l00077">SpaceToDepthLayer::Accept()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.xhtml#l00075">DepthToSpaceLayer::Accept()</a>, <a class="el" href="_comparison_layer_8cpp_source.xhtml#l00074">ComparisonLayer::Accept()</a>, <a class="el" href="_stand_in_layer_8cpp_source.xhtml#l00043">StandInLayer::Accept()</a>, <a class="el" href="_constant_layer_8cpp_source.xhtml#l00053">ConstantLayer::Accept()</a>, <a class="el" href="_batch_normalization_layer_8cpp_source.xhtml#l00071">BatchNormalizationLayer::Accept()</a>, <a class="el" href="_output_layer_8cpp_source.xhtml#l00039">OutputLayer::Accept()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.xhtml#l00120">TransposeConvolution2dLayer::Accept()</a>, <a class="el" href="_fully_connected_layer_8cpp_source.xhtml#l00088">FullyConnectedLayer::Accept()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00147">DepthwiseConvolution2dLayer::Accept()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.xhtml#l00139">Convolution2dLayer::Accept()</a>, <a class="el" href="_concat_layer_8cpp_source.xhtml#l00270">ConcatLayer::Accept()</a>, <a class="el" href="_reshape_layer_8cpp_source.xhtml#l00053">ReshapeLayer::Accept()</a>, <a class="el" href="_splitter_layer_8cpp_source.xhtml#l00164">SplitterLayer::Accept()</a>, <a class="el" href="_transpose_layer_8cpp_source.xhtml#l00057">TransposeLayer::Accept()</a>, <a class="el" href="_permute_layer_8cpp_source.xhtml#l00057">PermuteLayer::Accept()</a>, <a class="el" href="_quantized_lstm_layer_8cpp_source.xhtml#l00168">QuantizedLstmLayer::Accept()</a>, <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00299">LstmLayer::Accept()</a>, <a class="el" href="_graph_8cpp_source.xhtml#l00263">Graph::AddCompatibilityLayers()</a>, <a class="el" href="_subgraph_view_tests_8cpp_source.xhtml#l00566">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l00421">armnnTfParser::CalcPadding()</a>, <a class="el" href="_quantize_layer_8cpp_source.xhtml#l00026">QuantizeLayer::Clone()</a>, <a class="el" href="_transpose_layer_8cpp_source.xhtml#l00031">TransposeLayer::Clone()</a>, <a class="el" href="_activation_layer_8cpp_source.xhtml#l00026">ActivationLayer::Clone()</a>, <a class="el" href="_normalization_layer_8cpp_source.xhtml#l00027">NormalizationLayer::Clone()</a>, <a class="el" href="_permute_layer_8cpp_source.xhtml#l00031">PermuteLayer::Clone()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.xhtml#l00033">Pooling2dLayer::Clone()</a>, <a class="el" href="_fake_quantization_layer_8cpp_source.xhtml#l00027">FakeQuantizationLayer::Clone()</a>, <a class="el" href="_stack_layer_8cpp_source.xhtml#l00028">StackLayer::Clone()</a>, <a class="el" href="_floor_layer_8cpp_source.xhtml#l00027">FloorLayer::Clone()</a>, <a class="el" href="_mem_import_layer_8cpp_source.xhtml#l00022">MemImportLayer::Clone()</a>, <a class="el" href="_abs_layer_8cpp_source.xhtml#l00028">AbsLayer::Clone()</a>, <a class="el" href="_convert_fp32_to_fp16_layer_8cpp_source.xhtml#l00027">ConvertFp32ToFp16Layer::Clone()</a>, <a class="el" href="_reshape_layer_8cpp_source.xhtml#l00028">ReshapeLayer::Clone()</a>, <a class="el" href="_resize_layer_8cpp_source.xhtml#l00032">ResizeLayer::Clone()</a>, <a class="el" href="_softmax_layer_8cpp_source.xhtml#l00027">SoftmaxLayer::Clone()</a>, <a class="el" href="_merge_layer_8cpp_source.xhtml#l00025">MergeLayer::Clone()</a>, <a class="el" href="_l2_normalization_layer_8cpp_source.xhtml#l00027">L2NormalizationLayer::Clone()</a>, <a class="el" href="_slice_layer_8cpp_source.xhtml#l00032">SliceLayer::Clone()</a>, <a class="el" href="_input_layer_8cpp_source.xhtml#l00026">InputLayer::Clone()</a>, <a class="el" href="_instance_normalization_layer_8cpp_source.xhtml#l00027">InstanceNormalizationLayer::Clone()</a>, <a class="el" href="_batch_to_space_nd_layer_8cpp_source.xhtml#l00038">BatchToSpaceNdLayer::Clone()</a>, <a class="el" href="_debug_layer_8cpp_source.xhtml#l00032">DebugLayer::Clone()</a>, <a class="el" href="_strided_slice_layer_8cpp_source.xhtml#l00040">StridedSliceLayer::Clone()</a>, <a class="el" href="_rsqrt_layer_8cpp_source.xhtml#l00028">RsqrtLayer::Clone()</a>, <a class="el" href="_addition_layer_8cpp_source.xhtml#l00028">AdditionLayer::Clone()</a>, <a class="el" href="_switch_layer_8cpp_source.xhtml#l00025">SwitchLayer::Clone()</a>, <a class="el" href="_dequantize_layer_8cpp_source.xhtml#l00027">DequantizeLayer::Clone()</a>, <a class="el" href="_mem_copy_layer_8cpp_source.xhtml#l00022">MemCopyLayer::Clone()</a>, <a class="el" href="_convert_fp16_to_fp32_layer_8cpp_source.xhtml#l00028">ConvertFp16ToFp32Layer::Clone()</a>, <a class="el" href="_stand_in_layer_8cpp_source.xhtml#l00026">StandInLayer::Clone()</a>, <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00028">PreluLayer::Clone()</a>, <a class="el" href="_multiplication_layer_8cpp_source.xhtml#l00028">MultiplicationLayer::Clone()</a>, <a class="el" href="_gather_layer_8cpp_source.xhtml#l00027">GatherLayer::Clone()</a>, <a class="el" href="_arg_min_max_layer_8cpp_source.xhtml#l00030">ArgMinMaxLayer::Clone()</a>, <a class="el" href="_pad_layer_8cpp_source.xhtml#l00030">PadLayer::Clone()</a>, <a class="el" href="_space_to_depth_layer_8cpp_source.xhtml#l00036">SpaceToDepthLayer::Clone()</a>, <a class="el" href="_division_layer_8cpp_source.xhtml#l00028">DivisionLayer::Clone()</a>, <a class="el" href="_minimum_layer_8cpp_source.xhtml#l00028">MinimumLayer::Clone()</a>, <a class="el" href="_elementwise_unary_layer_8cpp_source.xhtml#l00029">ElementwiseUnaryLayer::Clone()</a>, <a class="el" href="_space_to_batch_nd_layer_8cpp_source.xhtml#l00036">SpaceToBatchNdLayer::Clone()</a>, <a class="el" href="_subtraction_layer_8cpp_source.xhtml#l00028">SubtractionLayer::Clone()</a>, <a class="el" href="_maximum_layer_8cpp_source.xhtml#l00027">MaximumLayer::Clone()</a>, <a class="el" href="_log_softmax_layer_8cpp_source.xhtml#l00027">LogSoftmaxLayer::Clone()</a>, <a class="el" href="_mean_layer_8cpp_source.xhtml#l00031">MeanLayer::Clone()</a>, <a class="el" href="_comparison_layer_8cpp_source.xhtml#l00029">ComparisonLayer::Clone()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.xhtml#l00034">DepthToSpaceLayer::Clone()</a>, <a class="el" href="_constant_layer_8cpp_source.xhtml#l00028">ConstantLayer::Clone()</a>, <a class="el" href="_pre_compiled_layer_8cpp_source.xhtml#l00024">PreCompiledLayer::Clone()</a>, <a class="el" href="_detection_post_process_layer_8cpp_source.xhtml#l00030">DetectionPostProcessLayer::Clone()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.xhtml#l00043">TransposeConvolution2dLayer::Clone()</a>, <a class="el" href="_fully_connected_layer_8cpp_source.xhtml#l00038">FullyConnectedLayer::Clone()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00068">DepthwiseConvolution2dLayer::Clone()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.xhtml#l00066">Convolution2dLayer::Clone()</a>, <a class="el" href="_concat_layer_8cpp_source.xhtml#l00149">ConcatLayer::Clone()</a>, <a class="el" href="_splitter_layer_8cpp_source.xhtml#l00123">SplitterLayer::Clone()</a>, <a class="el" href="_batch_normalization_layer_8cpp_source.xhtml#l00039">BatchNormalizationLayer::Clone()</a>, <a class="el" href="_output_layer_8cpp_source.xhtml#l00027">OutputLayer::Clone()</a>, <a class="el" href="_quantized_lstm_layer_8cpp_source.xhtml#l00045">QuantizedLstmLayer::Clone()</a>, <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00075">LstmLayer::Clone()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00040">armnn::InsertConvertFp16ToFp32LayersBefore()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00079">armnn::InsertConvertFp32ToFp16LayersAfter()</a>, <a class="el" href="_transpose_as_reshape_8hpp_source.xhtml#l00018">TransposeAsReshapeImpl::Run()</a>, <a class="el" href="_permute_as_reshape_8hpp_source.xhtml#l00018">PermuteAsReshapeImpl::Run()</a>, <a class="el" href="_fold_pad_into_convolution2d_8hpp_source.xhtml#l00019">FoldPadIntoConvolution2dImpl::Run()</a>, <a class="el" href="_optimize_consecutive_reshapes_8hpp_source.xhtml#l00019">OptimizeConsecutiveReshapesImpl::Run()</a>, <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.xhtml#l00021">PermuteAndBatchToSpaceAsDepthToSpaceImpl< PermuteType >::Run()</a>, and <a class="el" href="_observable_8cpp_source.xhtml#l00016">ErasedLayerNamesObservable::Update()</a>.</p> +<div class="fragment"><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> { <span class="keywordflow">return</span> m_LayerName.c_str(); }</div></div><!-- fragment --> +</div> +</div> +<a id="a9a97cb6d32661a57fc33bd29b8e41ff4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9a97cb6d32661a57fc33bd29b8e41ff4">◆ </a></span>GetNameStr()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">const std::string& GetNameStr </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00216">216</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_optimizer_tests_8cpp_source.xhtml#l00537">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00114">armnn::CheckScaleSetOnQuantizedType()</a>, <a class="el" href="_debug_layer_8cpp_source.xhtml#l00020">DebugLayer::CreateWorkload()</a>, <a class="el" href="_loaded_network_8cpp_source.xhtml#l00277">LoadedNetwork::GetOutputTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00371">Layer::InferOutputShapes()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00112">armnn::InsertDebugLayerAfter()</a>, <a class="el" href="_graph_utils_8cpp_source.xhtml#l00042">IsConnected()</a>, and <a class="el" href="_layer_8cpp_source.xhtml#l00338">Layer::VerifyLayerConnections()</a>.</p> +<div class="fragment"><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  {</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordflow">return</span> m_LayerName;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  }</div></div><!-- fragment --> +</div> +</div> +<a id="abc0660dc440c8a285b456c9ef6383c26"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abc0660dc440c8a285b456c9ef6383c26">◆ </a></span>GetNumInputSlots()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">unsigned int GetNumInputSlots </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Returns the number of connectable input slots. </p> + +<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">IConnectableLayer</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00307">307</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_graph_utils_8cpp_source.xhtml#l00032">CheckNumberOfInputSlot()</a>, <a class="el" href="_concat_layer_8cpp_source.xhtml#l00022">ConcatLayer::CreateWorkload()</a>, <a class="el" href="_loaded_network_8cpp_source.xhtml#l00412">LoadedNetwork::EnqueueWorkload()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00273">Layer::GetDataType()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00371">Layer::InferOutputShapes()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00020">InputSlot::Insert()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00040">armnn::InsertConvertFp16ToFp32LayersBefore()</a>, <a class="el" href="_stack_layer_8cpp_source.xhtml#l00061">StackLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_concat_layer_8cpp_source.xhtml#l00244">ConcatLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_layer_8cpp_source.xhtml#l00338">Layer::VerifyLayerConnections()</a>.</p> +<div class="fragment"><div class="line"><a name="l00307"></a><span class="lineno"> 307</span> { <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(m_InputSlots.size()); }</div></div><!-- fragment --> +</div> +</div> +<a id="a1594bddc87d6477df300317658f566bb"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1594bddc87d6477df300317658f566bb">◆ </a></span>GetNumOutputSlots()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">unsigned int GetNumOutputSlots </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Returns the number of connectable output slots. </p> + +<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">IConnectableLayer</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00308">308</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_subgraph_view_tests_8cpp_source.xhtml#l01122">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l00421">armnnTfParser::CalcPadding()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00125">OutputSlot::CalculateIndexOnOwner()</a>, <a class="el" href="_graph_utils_8cpp_source.xhtml#l00037">CheckNumberOfOutputSlot()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00114">armnn::CheckScaleSetOnQuantizedType()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00240">Layer::CreateTensorHandles()</a>, <a class="el" href="_loaded_network_8cpp_source.xhtml#l00412">LoadedNetwork::EnqueueWorkload()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00371">Layer::InferOutputShapes()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00020">InputSlot::Insert()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00079">armnn::InsertConvertFp32ToFp16LayersAfter()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00112">armnn::InsertDebugLayerAfter()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00824">armnn::SelectTensorHandleStrategy()</a>, <a class="el" href="_switch_layer_8cpp_source.xhtml#l00030">SwitchLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_detection_post_process_layer_8cpp_source.xhtml#l00037">DetectionPostProcessLayer::ValidateTensorShapesFromInputs()</a>.</p> +<div class="fragment"><div class="line"><a name="l00308"></a><span class="lineno"> 308</span> { <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(m_OutputSlots.size()); }</div></div><!-- fragment --> +</div> +</div> +<a id="af2c0edc7ea62a8baaec4d3d9b2b09256"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af2c0edc7ea62a8baaec4d3d9b2b09256">◆ </a></span>GetOutputHandler() <span class="overload">[1/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">const <a class="el" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a>& GetOutputHandler </td> + <td>(</td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>i</em> = <code>0</code></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00221">221</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_move_permute_up_tests_8cpp_source.xhtml#l00015">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00240">Layer::CreateTensorHandles()</a>, <a class="el" href="_concat_layer_8cpp_source.xhtml#l00022">ConcatLayer::CreateWorkload()</a>, <a class="el" href="_loaded_network_8cpp_source.xhtml#l00412">LoadedNetwork::EnqueueWorkload()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00020">InputSlot::Insert()</a>, <a class="el" href="_permute_as_reshape_8hpp_source.xhtml#l00018">PermuteAsReshapeImpl::Run()</a>, <a class="el" href="_transpose_as_reshape_8hpp_source.xhtml#l00018">TransposeAsReshapeImpl::Run()</a>, <a class="el" href="_optimize_consecutive_reshapes_8hpp_source.xhtml#l00019">OptimizeConsecutiveReshapesImpl::Run()</a>, <a class="el" href="_fold_pad_into_convolution2d_8hpp_source.xhtml#l00019">FoldPadIntoConvolution2dImpl::Run()</a>, <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.xhtml#l00021">PermuteAndBatchToSpaceAsDepthToSpaceImpl< PermuteType >::Run()</a>, <a class="el" href="_move_transpose_up_8hpp_source.xhtml#l00022">MoveTransposeUpImpl::Run()</a>, and <a class="el" href="_move_permute_up_8hpp_source.xhtml#l00022">MovePermuteUpImpl::Run()</a>.</p> +<div class="fragment"><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  {</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_layer.xhtml#aa44d91037bba52ba0dec6577509ade3b">m_OutputHandlers</a>[i];</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  }</div><div class="ttc" id="classarmnn_1_1_layer_xhtml_aa44d91037bba52ba0dec6577509ade3b"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aa44d91037bba52ba0dec6577509ade3b">armnn::Layer::m_OutputHandlers</a></div><div class="ttdeci">std::vector< OutputHandler > m_OutputHandlers</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00371">Layer.hpp:371</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a1d4e05c17647232c514cfe58ca80744a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1d4e05c17647232c514cfe58ca80744a">◆ </a></span>GetOutputHandler() <span class="overload">[2/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a>& GetOutputHandler </td> + <td>(</td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>i</em> = <code>0</code></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00226">226</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  {</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">return</span> <span class="keyword">const_cast<</span>OutputHandler&<span class="keyword">></span>(<span class="keyword">const_cast<</span><span class="keyword">const </span><a class="code" href="classarmnn_1_1_layer.xhtml#a5e5ae420d199a0bccae5139d38c30205">Layer</a>*<span class="keyword">></span>(<span class="keyword">this</span>)-><a class="code" href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>(i));</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  }</div><div class="ttc" id="classarmnn_1_1_layer_xhtml_a5e5ae420d199a0bccae5139d38c30205"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a5e5ae420d199a0bccae5139d38c30205">armnn::Layer::Layer</a></div><div class="ttdeci">Layer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00213">Layer.cpp:213</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_af2c0edc7ea62a8baaec4d3d9b2b09256"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af2c0edc7ea62a8baaec4d3d9b2b09256">armnn::Layer::GetOutputHandler</a></div><div class="ttdeci">const OutputHandler & GetOutputHandler(unsigned int i=0) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00221">Layer.hpp:221</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a0e36688a43c35668d8db5257274c68fe"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0e36688a43c35668d8db5257274c68fe">◆ </a></span>GetOutputSlot() <span class="overload">[1/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">const <a class="el" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& GetOutputSlot </td> + <td>(</td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>index</em> = <code>0</code></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Get the const output slot handle by slot index. </p> + +<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00312">312</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_graph_8cpp_source.xhtml#l00263">Graph::AddCompatibilityLayers()</a>, <a class="el" href="_graph_tests_8cpp_source.xhtml#l00043">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_graph_tests_8cpp_source.xhtml#l00552">BOOST_FIXTURE_TEST_CASE()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l00421">armnnTfParser::CalcPadding()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00125">OutputSlot::CalculateIndexOnOwner()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00114">armnn::CheckScaleSetOnQuantizedType()</a>, <a class="el" href="_optimizer_tests_8cpp_source.xhtml#l00256">CreateConvolution2dGraph()</a>, <a class="el" href="_optimizer_tests_8cpp_source.xhtml#l00306">CreateDepthwiseConvolution2dGraph()</a>, <a class="el" href="_optimizer_tests_8cpp_source.xhtml#l00448">CreateGatherGraph()</a>, <a class="el" href="_optimizer_tests_8cpp_source.xhtml#l00356">CreatePooling2dGraph()</a>, <a class="el" href="_optimizer_tests_8cpp_source.xhtml#l00404">CreateResizeBilinearGraph()</a>, <a class="el" href="_concat_layer_8cpp_source.xhtml#l00129">ConcatLayer::CreateTensorHandles()</a>, <a class="el" href="_splitter_layer_8cpp_source.xhtml#l00103">SplitterLayer::CreateTensorHandles()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00240">Layer::CreateTensorHandles()</a>, <a class="el" href="_splitter_layer_8cpp_source.xhtml#l00021">SplitterLayer::CreateWorkload()</a>, <a class="el" href="_concat_layer_8cpp_source.xhtml#l00022">ConcatLayer::CreateWorkload()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00273">Layer::GetDataType()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00020">InputSlot::Insert()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00040">armnn::InsertConvertFp16ToFp32LayersBefore()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00079">armnn::InsertConvertFp32ToFp16LayersAfter()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00112">armnn::InsertDebugLayerAfter()</a>, <a class="el" href="_graph_utils_8cpp_source.xhtml#l00042">IsConnected()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l00045">IWorkloadFactory::IsLayerSupported()</a>, <a class="el" href="_permute_as_reshape_8hpp_source.xhtml#l00018">PermuteAsReshapeImpl::Run()</a>, <a class="el" href="_transpose_as_reshape_8hpp_source.xhtml#l00018">TransposeAsReshapeImpl::Run()</a>, <a class="el" href="_optimize_consecutive_reshapes_8hpp_source.xhtml#l00019">OptimizeConsecutiveReshapesImpl::Run()</a>, <a class="el" href="_fold_pad_into_convolution2d_8hpp_source.xhtml#l00019">FoldPadIntoConvolution2dImpl::Run()</a>, <a class="el" href="_optimize_inverse_conversions_8hpp_source.xhtml#l00021">OptimizeInverseConversionsImpl::Run()</a>, <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.xhtml#l00021">PermuteAndBatchToSpaceAsDepthToSpaceImpl< PermuteType >::Run()</a>, <a class="el" href="_move_permute_up_8hpp_source.xhtml#l00022">MovePermuteUpImpl::Run()</a>, <a class="el" href="_optimize_inverse_permutes_8hpp_source.xhtml#l00022">OptimizeInversePermutesImpl< PermuteType >::Run()</a>, <a class="el" href="_move_transpose_up_8hpp_source.xhtml#l00022">MoveTransposeUpImpl::Run()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00824">armnn::SelectTensorHandleStrategy()</a>, <a class="el" href="_elementwise_base_layer_8cpp_source.xhtml#l00051">ElementwiseBaseLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_quantize_layer_8cpp_source.xhtml#l00032">QuantizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_activation_layer_8cpp_source.xhtml#l00031">ActivationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_transpose_layer_8cpp_source.xhtml#l00043">TransposeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp32_to_fp16_layer_8cpp_source.xhtml#l00032">ConvertFp32ToFp16Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_input_layer_8cpp_source.xhtml#l00031">InputLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mem_import_layer_8cpp_source.xhtml#l00036">MemImportLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_debug_layer_8cpp_source.xhtml#l00037">DebugLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_merge_layer_8cpp_source.xhtml#l00030">MergeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_normalization_layer_8cpp_source.xhtml#l00032">NormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_permute_layer_8cpp_source.xhtml#l00043">PermuteLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.xhtml#l00103">Pooling2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_batch_to_space_nd_layer_8cpp_source.xhtml#l00044">BatchToSpaceNdLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_dequantize_layer_8cpp_source.xhtml#l00032">DequantizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_reshape_layer_8cpp_source.xhtml#l00039">ReshapeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_resize_layer_8cpp_source.xhtml#l00056">ResizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_rsqrt_layer_8cpp_source.xhtml#l00033">RsqrtLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_slice_layer_8cpp_source.xhtml#l00037">SliceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_softmax_layer_8cpp_source.xhtml#l00032">SoftmaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_l2_normalization_layer_8cpp_source.xhtml#l00032">L2NormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_abs_layer_8cpp_source.xhtml#l00033">AbsLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_fake_quantization_layer_8cpp_source.xhtml#l00032">FakeQuantizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mem_copy_layer_8cpp_source.xhtml#l00036">MemCopyLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_floor_layer_8cpp_source.xhtml#l00032">FloorLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_stack_layer_8cpp_source.xhtml#l00061">StackLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_switch_layer_8cpp_source.xhtml#l00030">SwitchLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_instance_normalization_layer_8cpp_source.xhtml#l00032">InstanceNormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_gather_layer_8cpp_source.xhtml#l00032">GatherLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_log_softmax_layer_8cpp_source.xhtml#l00032">LogSoftmaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mean_layer_8cpp_source.xhtml#l00041">MeanLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp16_to_fp32_layer_8cpp_source.xhtml#l00033">ConvertFp16ToFp32Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_constant_layer_8cpp_source.xhtml#l00043">ConstantLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_arg_min_max_layer_8cpp_source.xhtml#l00072">ArgMinMaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_detection_post_process_layer_8cpp_source.xhtml#l00037">DetectionPostProcessLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_elementwise_unary_layer_8cpp_source.xhtml#l00043">ElementwiseUnaryLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_strided_slice_layer_8cpp_source.xhtml#l00076">StridedSliceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.xhtml#l00097">TransposeConvolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00122">DepthwiseConvolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_space_to_depth_layer_8cpp_source.xhtml#l00062">SpaceToDepthLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_fully_connected_layer_8cpp_source.xhtml#l00064">FullyConnectedLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_comparison_layer_8cpp_source.xhtml#l00058">ComparisonLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.xhtml#l00060">DepthToSpaceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_space_to_batch_nd_layer_8cpp_source.xhtml#l00069">SpaceToBatchNdLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00097">PreluLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.xhtml#l00115">Convolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_splitter_layer_8cpp_source.xhtml#l00142">SplitterLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_batch_normalization_layer_8cpp_source.xhtml#l00051">BatchNormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_quantized_lstm_layer_8cpp_source.xhtml#l00094">QuantizedLstmLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00160">LstmLayer::ValidateTensorShapesFromInputs()</a>.</p> +<div class="fragment"><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> { <span class="keywordflow">return</span> m_OutputSlots.at(index); }</div></div><!-- fragment --> +</div> +</div> +<a id="abbd71844785bb2f00a81baca30ea5ff0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abbd71844785bb2f00a81baca30ea5ff0">◆ </a></span>GetOutputSlot() <span class="overload">[2/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>& GetOutputSlot </td> + <td>(</td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>index</em> = <code>0</code></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Get the output slot handle by slot index. </p> + +<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a75bfde3503c1b21c397bb095f55db990">IConnectableLayer</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00313">313</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> { <span class="keywordflow">return</span> m_OutputSlots.at(index); }</div></div><!-- fragment --> +</div> +</div> +<a id="a98cdff4e0b45f4c80bfcedaf926e16e0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a98cdff4e0b45f4c80bfcedaf926e16e0">◆ </a></span>GetOutputSlots()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">const std::vector<<a class="el" href="classarmnn_1_1_output_slot.xhtml">OutputSlot</a>>& GetOutputSlots </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00232">232</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_graph_8cpp_source.xhtml#l00263">Graph::AddCompatibilityLayers()</a>, <a class="el" href="_subgraph_view_selector_8cpp_source.xhtml#l00283">armnn::ForEachLayerOutput()</a>, and <a class="el" href="_workload_factory_8cpp_source.xhtml#l00045">IWorkloadFactory::IsLayerSupported()</a>.</p> +<div class="fragment"><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> { <span class="keywordflow">return</span> m_OutputSlots; }</div></div><!-- fragment --> +</div> +</div> +<a id="af97a07195a67a638605b3c325763c2dd"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af97a07195a67a638605b3c325763c2dd">◆ </a></span>GetPriority()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> GetPriority </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.xhtml#l00288">288</a> of file <a class="el" href="_layer_8cpp_source.xhtml">Layer.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_layer_8hpp_source.xhtml#l00231">Layer::GetInputSlots()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00115">OutputSlot::GetOwningLayer()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00288">Layer::GetPriority()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00259">Layer::GetType()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, and <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_layer_8cpp_source.xhtml#l00288">Layer::GetPriority()</a>, and <a class="el" href="_squash_equal_siblings_8hpp_source.xhtml#l00024">SquashEqualSiblingsImpl< Comparable >::Run()</a>.</p> +<div class="fragment"><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> {</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  constexpr <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> inputPrio = std::numeric_limits<LayerPriority>::lowest();</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  constexpr <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> outputPrio = std::numeric_limits<LayerPriority>::max();</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span> </div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a>)</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  {</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  m_Priority = inputPrio;</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  }</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a>)</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  {</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  m_Priority = outputPrio;</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  }</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (m_Priority == 0)</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  {</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordflow">if</span> (m_Visiting)</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  {</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="keywordflow">throw</span> GraphValidationException(<span class="stringliteral">"Graph has circular dependencies: cannot walk"</span>);</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  }</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span> </div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keyword">auto</span> maxPrio = [](<span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> prio, <span class="keyword">const</span> InputSlot& slot) -> <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a></div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  {</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keyword">const</span> OutputSlot *outputSlot = slot.GetConnectedOutputSlot();</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordflow">if</span> (outputSlot)</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  {</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.xhtml#a5e5ae420d199a0bccae5139d38c30205">Layer</a>& input = outputSlot->GetOwningLayer();</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">return</span> std::max(prio, input.GetPriority());</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  }</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  {</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="comment">// unconnected input slot</span></div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">return</span> prio;</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  }</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  };</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span> </div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  m_Visiting = <span class="keyword">true</span>;</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <a class="code" href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">LayerPriority</a> parentPrio = std::accumulate(<a class="code" href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>().cbegin(), <a class="code" href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b">GetInputSlots</a>().cend(), 0U, maxPrio);</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  m_Visiting = <span class="keyword">false</span>;</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> </div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keywordflow">if</span> (parentPrio >= outputPrio)</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  {</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keywordflow">throw</span> GraphValidationException(<span class="stringliteral">"Graph has too many edges"</span>);</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  }</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> </div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  m_Priority = parentPrio + 1U;</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  }</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span> </div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keywordflow">return</span> m_Priority;</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a419086ecb4dc9d0f9e5d8933c87e2ea2"><div class="ttname"><a href="namespacearmnn.xhtml#a419086ecb4dc9d0f9e5d8933c87e2ea2">armnn::LayerPriority</a></div><div class="ttdeci">unsigned int LayerPriority</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00207">Layer.hpp:207</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_af5f530544d09a44d726f24702b67b35b"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af5f530544d09a44d726f24702b67b35b">armnn::Layer::GetInputSlots</a></div><div class="ttdeci">const std::vector< InputSlot > & GetInputSlots() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00231">Layer.hpp:231</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a5e5ae420d199a0bccae5139d38c30205"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a5e5ae420d199a0bccae5139d38c30205">armnn::Layer::Layer</a></div><div class="ttdeci">Layer(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00213">Layer.cpp:213</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_aaef29472862381822654ab6cbf7cba2a"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00259">Layer.hpp:259</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a5e5520194ea4042fe07b0bf53c28f634"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5e5520194ea4042fe07b0bf53c28f634">◆ </a></span>GetRelatedLayerNames()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">const std::list<std::string>& GetRelatedLayerNames </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00320">320</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_observable_8cpp_source.xhtml#l00016">ErasedLayerNamesObservable::Update()</a>.</p> +<div class="fragment"><div class="line"><a name="l00320"></a><span class="lineno"> 320</span> { <span class="keywordflow">return</span> m_RelatedLayerNames; }</div></div><!-- fragment --> +</div> +</div> +<a id="aaef29472862381822654ab6cbf7cba2a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aaef29472862381822654ab6cbf7cba2a">◆ </a></span>GetType()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> GetType </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00259">259</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_network_8cpp_source.xhtml#l00428">armnn::ApplyBackendOptimizations()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00149">armnn::AttemptBackendAssignment()</a>, <a class="el" href="_optimizer_tests_8cpp_source.xhtml#l00163">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="armnn_tf_lite_parser_2test_2_detection_post_process_8cpp_source.xhtml#l00226">BOOST_FIXTURE_TEST_CASE()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00747">armnn::CalculateEdgeStrategy()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00638">armnn::CalculateSlotOption()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00546">armnn::CalculateSlotOptionForInput()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00114">armnn::CheckScaleSetOnQuantizedType()</a>, <a class="el" href="_concat_layer_8cpp_source.xhtml#l00022">ConcatLayer::CreateWorkload()</a>, <a class="el" href="_loaded_network_8cpp_source.xhtml#l00412">LoadedNetwork::EnqueueWorkload()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00288">Layer::GetPriority()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00371">Layer::InferOutputShapes()</a>, <a class="el" href="_reshape_layer_8hpp_source.xhtml#l00039">ReshapeLayer::IsEqual()</a>, <a class="el" href="_transpose_layer_8hpp_source.xhtml#l00052">TransposeLayer::IsEqual()</a>, <a class="el" href="_permute_layer_8hpp_source.xhtml#l00054">PermuteLayer::IsEqual()</a>, <a class="el" href="_transpose_layer_8hpp_source.xhtml#l00043">TransposeLayer::IsInverse()</a>, <a class="el" href="_permute_layer_8hpp_source.xhtml#l00045">PermuteLayer::IsInverse()</a>, <a class="el" href="_test_utils_8hpp_source.xhtml#l00015">IsLayerOfType()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l00045">IWorkloadFactory::IsLayerSupported()</a>, <a class="el" href="_mock_backend_8cpp_source.xhtml#l00134">MockBackend::OptimizeSubgraphView()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00099">armnn::ReturnWithError()</a>, <a class="el" href="_convert_fp32_network_to_fp16_8hpp_source.xhtml#l00018">ConvertFp32NetworkToFp16Impl::Run()</a>, <a class="el" href="_add_debug_8hpp_source.xhtml#l00019">AddDebugImpl::Run()</a>, <a class="el" href="_fold_pad_into_convolution2d_8hpp_source.xhtml#l00019">FoldPadIntoConvolution2dImpl::Run()</a>, <a class="el" href="_optimize_consecutive_reshapes_8hpp_source.xhtml#l00019">OptimizeConsecutiveReshapesImpl::Run()</a>, <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.xhtml#l00021">PermuteAndBatchToSpaceAsDepthToSpaceImpl< PermuteType >::Run()</a>, <a class="el" href="_optimize_inverse_conversions_8hpp_source.xhtml#l00021">OptimizeInverseConversionsImpl::Run()</a>, <a class="el" href="_move_transpose_up_8hpp_source.xhtml#l00022">MoveTransposeUpImpl::Run()</a>, <a class="el" href="_move_permute_up_8hpp_source.xhtml#l00022">MovePermuteUpImpl::Run()</a>, <a class="el" href="_optimization_8hpp_source.xhtml#l00036">OptimizeForTypeImpl< BaseType, OptimizeForConnectionImpl< BaseType, ChildType, Wrapped > >::Run()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00824">armnn::SelectTensorHandleStrategy()</a>, <a class="el" href="_elementwise_base_layer_8cpp_source.xhtml#l00051">ElementwiseBaseLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_layer_8cpp_source.xhtml#l00338">Layer::VerifyLayerConnections()</a>.</p> +<div class="fragment"><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> { <span class="keywordflow">return</span> m_Type; }</div></div><!-- fragment --> +</div> +</div> +<a id="a65ca562c882ad619684445a1402f415a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a65ca562c882ad619684445a1402f415a">◆ </a></span>InferOutputShapes()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">std::vector< <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> > InferOutputShapes </td> + <td>(</td> + <td class="paramtype">const std::vector< <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> > & </td> + <td class="paramname"><em>inputShapes</em></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Infer the shape of the output(s) based on the provided input shape(s) </p> + +<p>Implements <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#aa6e3c075c888e7c16942a468a3aae33c">IConnectableLayer</a>.</p> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_lstm_layer.xhtml#a65ca562c882ad619684445a1402f415a">LstmLayer</a>, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a65ca562c882ad619684445a1402f415a">QuantizedLstmLayer</a>, <a class="el" href="classarmnn_1_1_splitter_layer.xhtml#a65ca562c882ad619684445a1402f415a">SplitterLayer</a>, <a class="el" href="classarmnn_1_1_concat_layer.xhtml#a65ca562c882ad619684445a1402f415a">ConcatLayer</a>, <a class="el" href="classarmnn_1_1_convolution2d_layer.xhtml#a65ca562c882ad619684445a1402f415a">Convolution2dLayer</a>, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a65ca562c882ad619684445a1402f415a">DepthwiseConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_fully_connected_layer.xhtml#a65ca562c882ad619684445a1402f415a">FullyConnectedLayer</a>, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.xhtml#a65ca562c882ad619684445a1402f415a">TransposeConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_constant_layer.xhtml#a65ca562c882ad619684445a1402f415a">ConstantLayer</a>, <a class="el" href="classarmnn_1_1_stand_in_layer.xhtml#a65ca562c882ad619684445a1402f415a">StandInLayer</a>, <a class="el" href="classarmnn_1_1_batch_to_space_nd_layer.xhtml#a65ca562c882ad619684445a1402f415a">BatchToSpaceNdLayer</a>, <a class="el" href="classarmnn_1_1_permute_layer.xhtml#a65ca562c882ad619684445a1402f415a">PermuteLayer</a>, <a class="el" href="classarmnn_1_1_pooling2d_layer.xhtml#a65ca562c882ad619684445a1402f415a">Pooling2dLayer</a>, <a class="el" href="classarmnn_1_1_reshape_layer.xhtml#a65ca562c882ad619684445a1402f415a">ReshapeLayer</a>, <a class="el" href="classarmnn_1_1_resize_layer.xhtml#a65ca562c882ad619684445a1402f415a">ResizeLayer</a>, <a class="el" href="classarmnn_1_1_slice_layer.xhtml#a65ca562c882ad619684445a1402f415a">SliceLayer</a>, <a class="el" href="classarmnn_1_1_stack_layer.xhtml#a65ca562c882ad619684445a1402f415a">StackLayer</a>, <a class="el" href="classarmnn_1_1_merge_layer.xhtml#a65ca562c882ad619684445a1402f415a">MergeLayer</a>, <a class="el" href="classarmnn_1_1_transpose_layer.xhtml#a65ca562c882ad619684445a1402f415a">TransposeLayer</a>, <a class="el" href="classarmnn_1_1_comparison_layer.xhtml#a65ca562c882ad619684445a1402f415a">ComparisonLayer</a>, <a class="el" href="classarmnn_1_1_depth_to_space_layer.xhtml#a65ca562c882ad619684445a1402f415a">DepthToSpaceLayer</a>, <a class="el" href="classarmnn_1_1_prelu_layer.xhtml#a65ca562c882ad619684445a1402f415a">PreluLayer</a>, <a class="el" href="classarmnn_1_1_space_to_batch_nd_layer.xhtml#a65ca562c882ad619684445a1402f415a">SpaceToBatchNdLayer</a>, <a class="el" href="classarmnn_1_1_space_to_depth_layer.xhtml#a65ca562c882ad619684445a1402f415a">SpaceToDepthLayer</a>, <a class="el" href="classarmnn_1_1_arg_min_max_layer.xhtml#a65ca562c882ad619684445a1402f415a">ArgMinMaxLayer</a>, <a class="el" href="classarmnn_1_1_elementwise_unary_layer.xhtml#a65ca562c882ad619684445a1402f415a">ElementwiseUnaryLayer</a>, <a class="el" href="classarmnn_1_1_strided_slice_layer.xhtml#a65ca562c882ad619684445a1402f415a">StridedSliceLayer</a>, and <a class="el" href="classarmnn_1_1_elementwise_base_layer.xhtml#a65ca562c882ad619684445a1402f415a">ElementwiseBaseLayer</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.xhtml#l00371">371</a> of file <a class="el" href="_layer_8cpp_source.xhtml">Layer.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_exceptions_8hpp_source.xhtml#l00192">CHECK_LOCATION</a>, <a class="el" href="_internal_types_8cpp_source.xhtml#l00013">armnn::GetLayerTypeAsCString()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00216">Layer::GetNameStr()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00307">Layer::GetNumInputSlots()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00308">Layer::GetNumOutputSlots()</a>, and <a class="el" href="_layer_8hpp_source.xhtml#l00259">Layer::GetType()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_quantize_layer_8cpp_source.xhtml#l00032">QuantizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_activation_layer_8cpp_source.xhtml#l00031">ActivationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_softmax_layer_8cpp_source.xhtml#l00032">SoftmaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_rsqrt_layer_8cpp_source.xhtml#l00033">RsqrtLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_switch_layer_8cpp_source.xhtml#l00030">SwitchLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_normalization_layer_8cpp_source.xhtml#l00032">NormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mem_import_layer_8cpp_source.xhtml#l00036">MemImportLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_abs_layer_8cpp_source.xhtml#l00033">AbsLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_fake_quantization_layer_8cpp_source.xhtml#l00032">FakeQuantizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_l2_normalization_layer_8cpp_source.xhtml#l00032">L2NormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_instance_normalization_layer_8cpp_source.xhtml#l00032">InstanceNormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_floor_layer_8cpp_source.xhtml#l00032">FloorLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp32_to_fp16_layer_8cpp_source.xhtml#l00032">ConvertFp32ToFp16Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_dequantize_layer_8cpp_source.xhtml#l00032">DequantizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mem_copy_layer_8cpp_source.xhtml#l00036">MemCopyLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_debug_layer_8cpp_source.xhtml#l00037">DebugLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp16_to_fp32_layer_8cpp_source.xhtml#l00033">ConvertFp16ToFp32Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_log_softmax_layer_8cpp_source.xhtml#l00032">LogSoftmaxLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_batch_normalization_layer_8cpp_source.xhtml#l00051">BatchNormalizationLayer::ValidateTensorShapesFromInputs()</a>.</p> +<div class="fragment"><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> {</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  BOOST_ASSERT(<a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() != 0);</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  BOOST_ASSERT(<a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>() != 0);</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> </div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="comment">// By default we return what we got, meaning the output shape(s) are the same as the input(s).</span></div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="comment">// This only works if the number of inputs and outputs are the same. Since we are in the Layer</span></div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="comment">// base class, this means the implementation needs to be overridden in the specific layers for</span></div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="comment">// the other cases. So the missing implementation justifies the UnimplementedException.</span></div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span> </div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() != <a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>())</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  {</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keywordflow">throw</span> UnimplementedException(</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  boost::str(</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  boost::format(</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="stringliteral">"Default implementation for InferOutputShapes can only be used for "</span></div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="stringliteral">"layers with the same number of input and output slots. This doesn't "</span></div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="stringliteral">"hold for %1% layer %2% (#inputs=%3% #outputs=%4%) %5%"</span>)</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  % <a class="code" href="namespacearmnn.xhtml#a9da573d7a1fc03726fd41f2130cbcf92">GetLayerTypeAsCString</a>(this-><a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>())</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  % <a class="code" href="classarmnn_1_1_layer.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a>()</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  % <a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>()</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  % <a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>()</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  % <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  }</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keywordflow">return</span> inputShapes;</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> }</div><div class="ttc" id="classarmnn_1_1_layer_xhtml_abc0660dc440c8a285b456c9ef6383c26"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">armnn::Layer::GetNumInputSlots</a></div><div class="ttdeci">unsigned int GetNumInputSlots() const override</div><div class="ttdoc">Returns the number of connectable input slots. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00307">Layer.hpp:307</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a1594bddc87d6477df300317658f566bb"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">armnn::Layer::GetNumOutputSlots</a></div><div class="ttdeci">unsigned int GetNumOutputSlots() const override</div><div class="ttdoc">Returns the number of connectable output slots. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00308">Layer.hpp:308</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a9da573d7a1fc03726fd41f2130cbcf92"><div class="ttname"><a href="namespacearmnn.xhtml#a9da573d7a1fc03726fd41f2130cbcf92">armnn::GetLayerTypeAsCString</a></div><div class="ttdeci">char const * GetLayerTypeAsCString(LayerType type)</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8cpp_source.xhtml#l00013">InternalTypes.cpp:13</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a9a97cb6d32661a57fc33bd29b8e41ff4"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4">armnn::Layer::GetNameStr</a></div><div class="ttdeci">const std::string & GetNameStr() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00216">Layer.hpp:216</a></div></div> +<div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00192">Exceptions.hpp:192</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_aaef29472862381822654ab6cbf7cba2a"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00259">Layer.hpp:259</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a22485f444124128940e798a42f0b76d9"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a22485f444124128940e798a42f0b76d9">◆ </a></span>IsOutputUnconnected()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool IsOutputUnconnected </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00243">243</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_optimization_8hpp_source.xhtml#l00082">OptimizeForConnectionImpl< BaseType, ChildType, Wrapped >::Run()</a>.</p> +<div class="fragment"><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  {</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numConnections = 0;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> </div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& output : <a class="code" href="classarmnn_1_1_layer.xhtml#a98cdff4e0b45f4c80bfcedaf926e16e0">GetOutputSlots</a>())</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  {</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  numConnections += output.GetNumConnections();</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  }</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> </div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">return</span> (<a class="code" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>() > 0) && (numConnections == 0);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  }</div><div class="ttc" id="classarmnn_1_1_layer_xhtml_a1594bddc87d6477df300317658f566bb"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">armnn::Layer::GetNumOutputSlots</a></div><div class="ttdeci">unsigned int GetNumOutputSlots() const override</div><div class="ttdoc">Returns the number of connectable output slots. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00308">Layer.hpp:308</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a98cdff4e0b45f4c80bfcedaf926e16e0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a98cdff4e0b45f4c80bfcedaf926e16e0">armnn::Layer::GetOutputSlots</a></div><div class="ttdeci">const std::vector< OutputSlot > & GetOutputSlots() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00232">Layer.hpp:232</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a386acff5f8430245239ce58d00ba7576"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a386acff5f8430245239ce58d00ba7576">◆ </a></span>OperateOnConstantTensors()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">void OperateOnConstantTensors </td> + <td>(</td> + <td class="paramtype">Op </td> + <td class="paramname"><em>op</em></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00292">292</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_layer_8cpp_source.xhtml#l00264">Layer::ReleaseConstantData()</a>, and <a class="el" href="_convert_constants_8hpp_source.xhtml#l00073">ConvertConstants< Converter, Predicate >::Run()</a>.</p> +<div class="fragment"><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  {</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> constant : <a class="code" href="classarmnn_1_1_layer.xhtml#afbeac2d77ecaadc3e303a163b4146961">GetConstantTensorsByRef</a>())</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  {</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keywordflow">if</span> (constant.get())</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  {</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  op(constant);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  }</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  }</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  };</div><div class="ttc" id="classarmnn_1_1_layer_xhtml_afbeac2d77ecaadc3e303a163b4146961"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#afbeac2d77ecaadc3e303a163b4146961">armnn::Layer::GetConstantTensorsByRef</a></div><div class="ttdeci">virtual ConstantTensors GetConstantTensorsByRef()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00364">Layer.hpp:364</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a30a858b2b26d651a066537e499fbf40d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a30a858b2b26d651a066537e499fbf40d">◆ </a></span>PrepInfoAndDesc()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> PrepInfoAndDesc </td> + <td>(</td> + <td class="paramtype"><a class="el" href="structarmnn_1_1_queue_descriptor.xhtml">QueueDescriptor</a> & </td> + <td class="paramname"><em>descriptor</em></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">protected</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Helper function to reduce duplication in *Layer<a class="el" href="_elementwise_unary_test_impl_8hpp.xhtml#aa50938ed8f91e09acd4af904dcf5543a">CreateWorkload</a>. </p> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00351">351</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_abs_layer_8cpp_source.xhtml#l00022">AbsLayer::CreateWorkload()</a>, <a class="el" href="_addition_layer_8cpp_source.xhtml#l00022">AdditionLayer::CreateWorkload()</a>, <a class="el" href="_floor_layer_8cpp_source.xhtml#l00021">FloorLayer::CreateWorkload()</a>, <a class="el" href="_quantize_layer_8cpp_source.xhtml#l00019">QuantizeLayer::CreateWorkload()</a>, <a class="el" href="_convert_fp32_to_fp16_layer_8cpp_source.xhtml#l00021">ConvertFp32ToFp16Layer::CreateWorkload()</a>, <a class="el" href="_rsqrt_layer_8cpp_source.xhtml#l00022">RsqrtLayer::CreateWorkload()</a>, <a class="el" href="_switch_layer_8cpp_source.xhtml#l00019">SwitchLayer::CreateWorkload()</a>, <a class="el" href="_debug_layer_8cpp_source.xhtml#l00020">DebugLayer::CreateWorkload()</a>, <a class="el" href="_mem_copy_layer_8cpp_source.xhtml#l00027">MemCopyLayer::CreateWorkload()</a>, <a class="el" href="_dequantize_layer_8cpp_source.xhtml#l00019">DequantizeLayer::CreateWorkload()</a>, <a class="el" href="_mem_import_layer_8cpp_source.xhtml#l00027">MemImportLayer::CreateWorkload()</a>, <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00021">PreluLayer::CreateWorkload()</a>, <a class="el" href="_subtraction_layer_8cpp_source.xhtml#l00022">SubtractionLayer::CreateWorkload()</a>, <a class="el" href="_division_layer_8cpp_source.xhtml#l00022">DivisionLayer::CreateWorkload()</a>, <a class="el" href="_convert_fp16_to_fp32_layer_8cpp_source.xhtml#l00022">ConvertFp16ToFp32Layer::CreateWorkload()</a>, <a class="el" href="_gather_layer_8cpp_source.xhtml#l00021">GatherLayer::CreateWorkload()</a>, <a class="el" href="_minimum_layer_8cpp_source.xhtml#l00022">MinimumLayer::CreateWorkload()</a>, <a class="el" href="_multiplication_layer_8cpp_source.xhtml#l00022">MultiplicationLayer::CreateWorkload()</a>, <a class="el" href="_maximum_layer_8cpp_source.xhtml#l00021">MaximumLayer::CreateWorkload()</a>, <a class="el" href="_constant_layer_8cpp_source.xhtml#l00021">ConstantLayer::CreateWorkload()</a>, <a class="el" href="_quantized_lstm_layer_8cpp_source.xhtml#l00022">QuantizedLstmLayer::CreateWorkload()</a>, and <a class="el" href="_layer_with_parameters_8hpp_source.xhtml#l00043">LayerWithParameters< ResizeDescriptor >::PrepInfoAndDesc()</a>.</p> +<div class="fragment"><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  {</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  WorkloadInfo <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#afc3239f5fc116259bf5451964e803646">CollectQueueDescriptorInputs</a>(descriptor, info);</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#a499ca5a94d0174ed21786b6994b2cd8c">CollectQueueDescriptorOutputs</a>(descriptor, info);</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  }</div><div class="ttc" id="classarmnn_1_1_layer_xhtml_afc3239f5fc116259bf5451964e803646"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#afc3239f5fc116259bf5451964e803646">armnn::Layer::CollectQueueDescriptorInputs</a></div><div class="ttdeci">void CollectQueueDescriptorInputs(QueueDescriptor &descriptor, WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00336">Layer.hpp:336</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a499ca5a94d0174ed21786b6994b2cd8c"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a499ca5a94d0174ed21786b6994b2cd8c">armnn::Layer::CollectQueueDescriptorOutputs</a></div><div class="ttdeci">void CollectQueueDescriptorOutputs(QueueDescriptor &descriptor, WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00343">Layer.hpp:343</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a339bef86bc340c3d1393ed83950fe8af"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a339bef86bc340c3d1393ed83950fe8af">◆ </a></span>ReleaseConstantData()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">void ReleaseConstantData </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_constant_layer.xhtml#a49a08bdbd40e6913a9a3e1418aa1f43a">ConstantLayer</a>.</p> + +<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.xhtml#l00264">264</a> of file <a class="el" href="_layer_8cpp_source.xhtml">Layer.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_layer_8hpp_source.xhtml#l00292">Layer::OperateOnConstantTensors()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_layer_release_constant_data_test_8cpp_source.xhtml#l00029">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> {</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="comment">// Now free up the static data.</span></div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#a386acff5f8430245239ce58d00ba7576">OperateOnConstantTensors</a>([](std::unique_ptr<ScopedCpuTensorHandle>& handle)</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  {</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  handle.reset(<span class="keyword">nullptr</span>);</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  });</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> }</div><div class="ttc" id="classarmnn_1_1_layer_xhtml_a386acff5f8430245239ce58d00ba7576"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a386acff5f8430245239ce58d00ba7576">armnn::Layer::OperateOnConstantTensors</a></div><div class="ttdeci">void OperateOnConstantTensors(Op op)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00292">Layer.hpp:292</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a72b18e4c5a403bc3fe2fecf20135c8d6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a72b18e4c5a403bc3fe2fecf20135c8d6">◆ </a></span>Reparent()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">virtual void Reparent </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_graph.xhtml">Graph</a> & </td> + <td class="paramname"><em>dest</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::list< <a class="el" href="classarmnn_1_1_layer.xhtml">Layer</a> *>::const_iterator </td> + <td class="paramname"><em>iterator</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="reference">Referenced by <a class="el" href="_graph_8hpp_source.xhtml#l00106">Graph::operator=()</a>, and <a class="el" href="_graph_8cpp_source.xhtml#l00404">Graph::SubstituteSubgraph()</a>.</p> + +</div> +</div> +<a id="aac329cade047e952621b59a51a5d5f49"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aac329cade047e952621b59a51a5d5f49">◆ </a></span>ResetPriority()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">void ResetPriority </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.xhtml#l00282">282</a> of file <a class="el" href="_layer_8cpp_source.xhtml">Layer.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00283"></a><span class="lineno"> 283</span> {</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  m_Priority = 0;</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  m_Visiting = <span class="keyword">false</span>;</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="ac04cd8de9b9185756eb02463ffd432b1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac04cd8de9b9185756eb02463ffd432b1">◆ </a></span>SerializeLayerParameters()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">void SerializeLayerParameters </td> + <td>(</td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a8c42c6647e31ebe525aeba878d133e45">ParameterStringifyFunction</a> & </td> + <td class="paramname"><em>fn</em></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Helper to serialize the layer parameters to string. </p> +<p>(currently used in DotSerializer and company). </p> + +<p>Reimplemented in <a class="el" href="classarmnn_1_1_convolution2d_layer.xhtml#a2ca654770a1890f15e3c7aab98e434a5">Convolution2dLayer</a>, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a2ca654770a1890f15e3c7aab98e434a5">DepthwiseConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< Parameters ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< FakeQuantizationDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< SoftmaxDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< LstmDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< LogSoftmaxDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< PreCompiledDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< BatchToSpaceNdDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< PermuteDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< SpaceToBatchNdDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< DepthToSpaceDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< ReshapeDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< ElementwiseUnaryDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< SpaceToDepthDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< OriginsDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< ViewsDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< Pooling2dDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< Convolution2dDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< ActivationDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< StandInDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< TransposeDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< StackDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< MeanDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< ComparisonDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< InstanceNormalizationDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< TransposeConvolution2dDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< BatchNormalizationDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< ArgMinMaxDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< DetectionPostProcessDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< PadDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< L2NormalizationDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< SliceDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< DepthwiseConvolution2dDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< NormalizationDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< FullyConnectedDescriptor ></a>, <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< StridedSliceDescriptor ></a>, and <a class="el" href="classarmnn_1_1_layer_with_parameters.xhtml#a2ca654770a1890f15e3c7aab98e434a5">LayerWithParameters< ResizeDescriptor ></a>.</p> + +<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.xhtml#l00398">398</a> of file <a class="el" href="_layer_8cpp_source.xhtml">Layer.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_internal_types_8cpp_source.xhtml#l00013">armnn::GetLayerTypeAsCString()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_layer_with_parameters_8hpp_source.xhtml#l00022">LayerWithParameters< ResizeDescriptor >::SerializeLayerParameters()</a>.</p> +<div class="fragment"><div class="line"><a name="l00399"></a><span class="lineno"> 399</span> {</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  std::string layerType = <a class="code" href="namespacearmnn.xhtml#a9da573d7a1fc03726fd41f2130cbcf92">GetLayerTypeAsCString</a>(m_Type);</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  std::string backendId = std::string(m_BackendId);</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keywordflow">if</span>(!(m_LayerName.compare(<span class="stringliteral">""</span>) == 0) && !m_LayerName.empty())</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  {</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  fn(<span class="stringliteral">"LayerName"</span>,m_LayerName);</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  }</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keywordflow">if</span>(!(layerType.compare(<span class="stringliteral">""</span>) == 0) && !layerType.empty())</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  {</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  fn(<span class="stringliteral">"LayerType"</span>,layerType);</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  }</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keywordflow">if</span>(!(backendId.compare(<span class="stringliteral">""</span>) == 0) && !backendId.empty())</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  {</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  fn(<span class="stringliteral">"BackendID"</span>,backendId);</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  }</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a9da573d7a1fc03726fd41f2130cbcf92"><div class="ttname"><a href="namespacearmnn.xhtml#a9da573d7a1fc03726fd41f2130cbcf92">armnn::GetLayerTypeAsCString</a></div><div class="ttdeci">char const * GetLayerTypeAsCString(LayerType type)</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8cpp_source.xhtml#l00013">InternalTypes.cpp:13</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a3f6ad59212fa8a47c9265162fff8a274"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3f6ad59212fa8a47c9265162fff8a274">◆ </a></span>SetBackendId()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">void SetBackendId </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_backend_id.xhtml">BackendId</a> & </td> + <td class="paramname"><em>id</em></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00264">264</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_elementwise_test_impl_8hpp_source.xhtml#l00027">CreateWorkload()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_network_8cpp_source.xhtml#l00149">armnn::AttemptBackendAssignment()</a>, <a class="el" href="_graph_tests_8cpp_source.xhtml#l00588">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_graph_tests_8cpp_source.xhtml#l00552">BOOST_FIXTURE_TEST_CASE()</a>, <a class="el" href="_network_utils_8cpp_source.xhtml#l00112">armnn::InsertDebugLayerAfter()</a>, and <a class="el" href="_mock_backend_8cpp_source.xhtml#l00134">MockBackend::OptimizeSubgraphView()</a>.</p> +<div class="fragment"><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> { m_BackendId = id; }</div></div><!-- fragment --> +</div> +</div> +<a id="a6d1024208b672a87ef2c1bfaf93d2b9f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6d1024208b672a87ef2c1bfaf93d2b9f">◆ </a></span>SetGuid()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">void SetGuid </td> + <td>(</td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#afad4088a9a058114ee5f87246f87bf49">LayerGuid</a> </td> + <td class="paramname"><em>guid</em></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00315">315</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00315"></a><span class="lineno"> 315</span> { m_Guid = guid; }</div></div><!-- fragment --> +</div> +</div> +<a id="a84ff600212ba26e665de9b978ec896a4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a84ff600212ba26e665de9b978ec896a4">◆ </a></span>ValidateTensorShapesFromInputs()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">virtual void ValidateTensorShapesFromInputs </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Implemented in <a class="el" href="classarmnn_1_1_lstm_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">LstmLayer</a>, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">QuantizedLstmLayer</a>, <a class="el" href="classarmnn_1_1_output_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">OutputLayer</a>, <a class="el" href="classarmnn_1_1_batch_normalization_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">BatchNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_splitter_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">SplitterLayer</a>, <a class="el" href="classarmnn_1_1_concat_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">ConcatLayer</a>, <a class="el" href="classarmnn_1_1_convolution2d_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">Convolution2dLayer</a>, <a class="el" href="classarmnn_1_1_comparison_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">ComparisonLayer</a>, <a class="el" href="classarmnn_1_1_depth_to_space_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">DepthToSpaceLayer</a>, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">DepthwiseConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_fully_connected_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">FullyConnectedLayer</a>, <a class="el" href="classarmnn_1_1_prelu_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">PreluLayer</a>, <a class="el" href="classarmnn_1_1_space_to_batch_nd_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">SpaceToBatchNdLayer</a>, <a class="el" href="classarmnn_1_1_space_to_depth_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">SpaceToDepthLayer</a>, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">TransposeConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_arg_min_max_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">ArgMinMaxLayer</a>, <a class="el" href="classarmnn_1_1_detection_post_process_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">DetectionPostProcessLayer</a>, <a class="el" href="classarmnn_1_1_elementwise_unary_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">ElementwiseUnaryLayer</a>, <a class="el" href="classarmnn_1_1_strided_slice_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">StridedSliceLayer</a>, <a class="el" href="classarmnn_1_1_pre_compiled_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">PreCompiledLayer</a>, <a class="el" href="classarmnn_1_1_constant_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">ConstantLayer</a>, <a class="el" href="classarmnn_1_1_convert_fp16_to_fp32_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">ConvertFp16ToFp32Layer</a>, <a class="el" href="classarmnn_1_1_gather_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">GatherLayer</a>, <a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">LogSoftmaxLayer</a>, <a class="el" href="classarmnn_1_1_mean_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">MeanLayer</a>, <a class="el" href="classarmnn_1_1_pad_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">PadLayer</a>, <a class="el" href="classarmnn_1_1_stand_in_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">StandInLayer</a>, <a class="el" href="classarmnn_1_1_abs_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">AbsLayer</a>, <a class="el" href="classarmnn_1_1_batch_to_space_nd_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">BatchToSpaceNdLayer</a>, <a class="el" href="classarmnn_1_1_convert_fp32_to_fp16_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">ConvertFp32ToFp16Layer</a>, <a class="el" href="classarmnn_1_1_debug_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">DebugLayer</a>, <a class="el" href="classarmnn_1_1_dequantize_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">DequantizeLayer</a>, <a class="el" href="classarmnn_1_1_fake_quantization_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">FakeQuantizationLayer</a>, <a class="el" href="classarmnn_1_1_floor_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">FloorLayer</a>, <a class="el" href="classarmnn_1_1_input_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">InputLayer</a>, <a class="el" href="classarmnn_1_1_instance_normalization_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">InstanceNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_l2_normalization_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">L2NormalizationLayer</a>, <a class="el" href="classarmnn_1_1_mem_copy_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">MemCopyLayer</a>, <a class="el" href="classarmnn_1_1_mem_import_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">MemImportLayer</a>, <a class="el" href="classarmnn_1_1_merge_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">MergeLayer</a>, <a class="el" href="classarmnn_1_1_normalization_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">NormalizationLayer</a>, <a class="el" href="classarmnn_1_1_permute_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">PermuteLayer</a>, <a class="el" href="classarmnn_1_1_pooling2d_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">Pooling2dLayer</a>, <a class="el" href="classarmnn_1_1_reshape_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">ReshapeLayer</a>, <a class="el" href="classarmnn_1_1_resize_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">ResizeLayer</a>, <a class="el" href="classarmnn_1_1_rsqrt_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">RsqrtLayer</a>, <a class="el" href="classarmnn_1_1_slice_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">SliceLayer</a>, <a class="el" href="classarmnn_1_1_softmax_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">SoftmaxLayer</a>, <a class="el" href="classarmnn_1_1_stack_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">StackLayer</a>, <a class="el" href="classarmnn_1_1_switch_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">SwitchLayer</a>, <a class="el" href="classarmnn_1_1_transpose_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">TransposeLayer</a>, <a class="el" href="classarmnn_1_1_activation_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">ActivationLayer</a>, <a class="el" href="classarmnn_1_1_quantize_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">QuantizeLayer</a>, and <a class="el" href="classarmnn_1_1_elementwise_base_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">ElementwiseBaseLayer</a>.</p> + +</div> +</div> +<a id="a0607e36e88f38c34c71c663164b76776"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0607e36e88f38c34c71c663164b76776">◆ </a></span>VerifyLayerConnections()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">void VerifyLayerConnections </td> + <td>(</td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>expectedConnections</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_check_location.xhtml">CheckLocation</a> & </td> + <td class="paramname"><em>location</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8cpp_source.xhtml#l00338">338</a> of file <a class="el" href="_layer_8cpp_source.xhtml">Layer.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_exceptions_8hpp_source.xhtml#l00029">CheckLocation::AsString()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00310">Layer::GetInputSlot()</a>, <a class="el" href="_internal_types_8cpp_source.xhtml#l00013">armnn::GetLayerTypeAsCString()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00216">Layer::GetNameStr()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00307">Layer::GetNumInputSlots()</a>, and <a class="el" href="_layer_8hpp_source.xhtml#l00259">Layer::GetType()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_elementwise_base_layer_8cpp_source.xhtml#l00051">ElementwiseBaseLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_quantize_layer_8cpp_source.xhtml#l00032">QuantizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_activation_layer_8cpp_source.xhtml#l00031">ActivationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_transpose_layer_8cpp_source.xhtml#l00043">TransposeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_switch_layer_8cpp_source.xhtml#l00030">SwitchLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_l2_normalization_layer_8cpp_source.xhtml#l00032">L2NormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_abs_layer_8cpp_source.xhtml#l00033">AbsLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.xhtml#l00103">Pooling2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp32_to_fp16_layer_8cpp_source.xhtml#l00032">ConvertFp32ToFp16Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_slice_layer_8cpp_source.xhtml#l00037">SliceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_rsqrt_layer_8cpp_source.xhtml#l00033">RsqrtLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_fake_quantization_layer_8cpp_source.xhtml#l00032">FakeQuantizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_reshape_layer_8cpp_source.xhtml#l00039">ReshapeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_resize_layer_8cpp_source.xhtml#l00056">ResizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_floor_layer_8cpp_source.xhtml#l00032">FloorLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_softmax_layer_8cpp_source.xhtml#l00032">SoftmaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_stack_layer_8cpp_source.xhtml#l00061">StackLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_permute_layer_8cpp_source.xhtml#l00043">PermuteLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_batch_to_space_nd_layer_8cpp_source.xhtml#l00044">BatchToSpaceNdLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_instance_normalization_layer_8cpp_source.xhtml#l00032">InstanceNormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_debug_layer_8cpp_source.xhtml#l00037">DebugLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_dequantize_layer_8cpp_source.xhtml#l00032">DequantizeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mem_copy_layer_8cpp_source.xhtml#l00036">MemCopyLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mem_import_layer_8cpp_source.xhtml#l00036">MemImportLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_merge_layer_8cpp_source.xhtml#l00030">MergeLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_normalization_layer_8cpp_source.xhtml#l00032">NormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convert_fp16_to_fp32_layer_8cpp_source.xhtml#l00033">ConvertFp16ToFp32Layer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_gather_layer_8cpp_source.xhtml#l00032">GatherLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_mean_layer_8cpp_source.xhtml#l00041">MeanLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_log_softmax_layer_8cpp_source.xhtml#l00032">LogSoftmaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_strided_slice_layer_8cpp_source.xhtml#l00076">StridedSliceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_elementwise_unary_layer_8cpp_source.xhtml#l00043">ElementwiseUnaryLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_arg_min_max_layer_8cpp_source.xhtml#l00072">ArgMinMaxLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_detection_post_process_layer_8cpp_source.xhtml#l00037">DetectionPostProcessLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.xhtml#l00122">DepthwiseConvolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.xhtml#l00097">TransposeConvolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_space_to_depth_layer_8cpp_source.xhtml#l00062">SpaceToDepthLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_fully_connected_layer_8cpp_source.xhtml#l00064">FullyConnectedLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00097">PreluLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_space_to_batch_nd_layer_8cpp_source.xhtml#l00069">SpaceToBatchNdLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_comparison_layer_8cpp_source.xhtml#l00058">ComparisonLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.xhtml#l00060">DepthToSpaceLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.xhtml#l00115">Convolution2dLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_concat_layer_8cpp_source.xhtml#l00244">ConcatLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_batch_normalization_layer_8cpp_source.xhtml#l00051">BatchNormalizationLayer::ValidateTensorShapesFromInputs()</a>, <a class="el" href="_quantized_lstm_layer_8cpp_source.xhtml#l00094">QuantizedLstmLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_lstm_layer_8cpp_source.xhtml#l00160">LstmLayer::ValidateTensorShapesFromInputs()</a>.</p> +<div class="fragment"><div class="line"><a name="l00339"></a><span class="lineno"> 339</span> {</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  BOOST_ASSERT(<a class="code" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>() == expectedConnections);</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i=0; i<expectedConnections; ++i)</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  {</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(i).GetConnection() == <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  {</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keywordflow">throw</span> LayerValidationException(</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  boost::str(</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  boost::format(</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="stringliteral">"Input connection #%1% must be connected "</span></div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="stringliteral">"for %2% layer %3% %4%"</span>)</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  % i</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  % <a class="code" href="namespacearmnn.xhtml#a9da573d7a1fc03726fd41f2130cbcf92">GetLayerTypeAsCString</a>(this-><a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>())</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  % <a class="code" href="classarmnn_1_1_layer.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a>()</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  % location.AsString()));</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  }</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">if</span>(! <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(i).GetConnection()->IsTensorInfoSet())</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  {</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordflow">throw</span> LayerValidationException(</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  boost::str(</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  boost::format(</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="stringliteral">"TensorInfo of Input connection #%1% must be set on connected OutputSlot for "</span></div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="stringliteral">"%2% layer %3% %4%"</span>)</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  % i</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  % <a class="code" href="namespacearmnn.xhtml#a9da573d7a1fc03726fd41f2130cbcf92">GetLayerTypeAsCString</a>(this-><a class="code" href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">GetType</a>())</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  % <a class="code" href="classarmnn_1_1_layer.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a>()</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  % location.AsString()));</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  }</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  }</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> }</div><div class="ttc" id="classarmnn_1_1_layer_xhtml_abc0660dc440c8a285b456c9ef6383c26"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">armnn::Layer::GetNumInputSlots</a></div><div class="ttdeci">unsigned int GetNumInputSlots() const override</div><div class="ttdoc">Returns the number of connectable input slots. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00307">Layer.hpp:307</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00310">Layer.hpp:310</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a9da573d7a1fc03726fd41f2130cbcf92"><div class="ttname"><a href="namespacearmnn.xhtml#a9da573d7a1fc03726fd41f2130cbcf92">armnn::GetLayerTypeAsCString</a></div><div class="ttdeci">char const * GetLayerTypeAsCString(LayerType type)</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8cpp_source.xhtml#l00013">InternalTypes.cpp:13</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_a9a97cb6d32661a57fc33bd29b8e41ff4"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a9a97cb6d32661a57fc33bd29b8e41ff4">armnn::Layer::GetNameStr</a></div><div class="ttdeci">const std::string & GetNameStr() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00216">Layer.hpp:216</a></div></div> +<div class="ttc" id="classarmnn_1_1_layer_xhtml_aaef29472862381822654ab6cbf7cba2a"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aaef29472862381822654ab6cbf7cba2a">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00259">Layer.hpp:259</a></div></div> +</div><!-- fragment --> +</div> +</div> +<h2 class="groupheader">Friends And Related Function Documentation</h2> +<a id="afab89afd724f1b07b1aaad6bdc61c47a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afab89afd724f1b07b1aaad6bdc61c47a">◆ </a></span>Graph</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">friend class <a class="el" href="classarmnn_1_1_graph.xhtml">Graph</a></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">friend</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00332">332</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +</div> +</div> +<h2 class="groupheader">Member Data Documentation</h2> +<a id="aa44d91037bba52ba0dec6577509ade3b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa44d91037bba52ba0dec6577509ade3b">◆ </a></span>m_OutputHandlers</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">std::vector<<a class="el" href="classarmnn_1_1_output_handler.xhtml">OutputHandler</a>> m_OutputHandlers</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">protected</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_layer_8hpp_source.xhtml#l00371">371</a> of file <a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_concat_layer_8cpp_source.xhtml#l00022">ConcatLayer::CreateWorkload()</a>, <a class="el" href="_splitter_layer_8cpp_source.xhtml#l00021">SplitterLayer::CreateWorkload()</a>, and <a class="el" href="_layer_8cpp_source.xhtml#l00187">Layer::Layer()</a>.</p> + +</div> +</div> +<hr/>The documentation for this class was generated from the following files:<ul> +<li>src/armnn/<a class="el" href="_layer_8hpp_source.xhtml">Layer.hpp</a></li> +<li>src/armnn/<a class="el" href="_layer_8cpp_source.xhtml">Layer.cpp</a></li> +<li>src/armnn/layers/<a class="el" href="_layer_clone_base_8hpp_source.xhtml">LayerCloneBase.hpp</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="navelem"><a class="el" href="namespacearmnn.xhtml">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_layer.xhtml">Layer</a></li> + <li class="footer">Generated on Fri Mar 13 2020 16:09:18 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> |