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diff --git a/20.02/classarmnn_1_1_i_connectable_layer.xhtml b/20.02/classarmnn_1_1_i_connectable_layer.xhtml new file mode 100644 index 0000000000..99b760df97 --- /dev/null +++ b/20.02/classarmnn_1_1_i_connectable_layer.xhtml @@ -0,0 +1,606 @@ +<!-- 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: IConnectableLayer 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_i_connectable_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-methods">Protected Member Functions</a> | +<a href="classarmnn_1_1_i_connectable_layer-members.xhtml">List of all members</a> </div> + <div class="headertitle"> +<div class="title">IConnectableLayer Class Reference<span class="mlabels"><span class="mlabel">abstract</span></span></div> </div> +</div><!--header--> +<div class="contents"> + +<p>Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. + <a href="classarmnn_1_1_i_connectable_layer.xhtml#details">More...</a></p> + +<p><code>#include <<a class="el" href="_i_network_8hpp_source.xhtml">INetwork.hpp</a>></code></p> +<div class="dynheader"> +Inheritance diagram for IConnectableLayer:</div> +<div class="dyncontent"> + <div class="center"> + <img src="classarmnn_1_1_i_connectable_layer.png" usemap="#IConnectableLayer_map" alt=""/> + <map id="IConnectableLayer_map" name="IConnectableLayer_map"> +<area href="classarmnn_1_1_layer.xhtml" alt="Layer" shape="rect" coords="0,56,356,80"/> +<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:afcc1c3a20bd2860e0ddd21674389246f"><td class="memItemLeft" align="right" valign="top">virtual const char * </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#afcc1c3a20bd2860e0ddd21674389246f">GetName</a> () const =0</td></tr> +<tr class="memdesc:afcc1c3a20bd2860e0ddd21674389246f"><td class="mdescLeft"> </td><td class="mdescRight">Returns the name of the layer. <a href="#afcc1c3a20bd2860e0ddd21674389246f">More...</a><br /></td></tr> +<tr class="separator:afcc1c3a20bd2860e0ddd21674389246f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9c2cba04b6d7ace4fc2a2436b82a5a63"><td class="memItemLeft" align="right" valign="top">virtual unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a> () const =0</td></tr> +<tr class="memdesc:a9c2cba04b6d7ace4fc2a2436b82a5a63"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of connectable input slots. <a href="#a9c2cba04b6d7ace4fc2a2436b82a5a63">More...</a><br /></td></tr> +<tr class="separator:a9c2cba04b6d7ace4fc2a2436b82a5a63"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac2dac3b61c94de52093616be4ab17f8d"><td class="memItemLeft" align="right" valign="top">virtual unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a> () const =0</td></tr> +<tr class="memdesc:ac2dac3b61c94de52093616be4ab17f8d"><td class="mdescLeft"> </td><td class="mdescRight">Returns the number of connectable output slots. <a href="#ac2dac3b61c94de52093616be4ab17f8d">More...</a><br /></td></tr> +<tr class="separator:ac2dac3b61c94de52093616be4ab17f8d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6ec9e0eb66d7d6a01240492a0b18104c"><td class="memItemLeft" align="right" valign="top">virtual const <a class="el" href="classarmnn_1_1_i_input_slot.xhtml">IInputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a> (unsigned int index) const =0</td></tr> +<tr class="memdesc:a6ec9e0eb66d7d6a01240492a0b18104c"><td class="mdescLeft"> </td><td class="mdescRight">Get a const input slot handle by slot index. <a href="#a6ec9e0eb66d7d6a01240492a0b18104c">More...</a><br /></td></tr> +<tr class="separator:a6ec9e0eb66d7d6a01240492a0b18104c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae3fd4f909aec6a9e150ba82dfad4017f"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_i_input_slot.xhtml">IInputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#ae3fd4f909aec6a9e150ba82dfad4017f">GetInputSlot</a> (unsigned int index)=0</td></tr> +<tr class="memdesc:ae3fd4f909aec6a9e150ba82dfad4017f"><td class="mdescLeft"> </td><td class="mdescRight">Get the input slot handle by slot index. <a href="#ae3fd4f909aec6a9e150ba82dfad4017f">More...</a><br /></td></tr> +<tr class="separator:ae3fd4f909aec6a9e150ba82dfad4017f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a80ac4eda2e7f2757ec9dd96fc96dbd16"><td class="memItemLeft" align="right" valign="top">virtual const <a class="el" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a> (unsigned int index) const =0</td></tr> +<tr class="memdesc:a80ac4eda2e7f2757ec9dd96fc96dbd16"><td class="mdescLeft"> </td><td class="mdescRight">Get the const output slot handle by slot index. <a href="#a80ac4eda2e7f2757ec9dd96fc96dbd16">More...</a><br /></td></tr> +<tr class="separator:a80ac4eda2e7f2757ec9dd96fc96dbd16"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a75bfde3503c1b21c397bb095f55db990"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a75bfde3503c1b21c397bb095f55db990">GetOutputSlot</a> (unsigned int index)=0</td></tr> +<tr class="memdesc:a75bfde3503c1b21c397bb095f55db990"><td class="mdescLeft"> </td><td class="mdescRight">Get the output slot handle by slot index. <a href="#a75bfde3503c1b21c397bb095f55db990">More...</a><br /></td></tr> +<tr class="separator:a75bfde3503c1b21c397bb095f55db990"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa6e3c075c888e7c16942a468a3aae33c"><td class="memItemLeft" align="right" valign="top">virtual 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_i_connectable_layer.xhtml#aa6e3c075c888e7c16942a468a3aae33c">InferOutputShapes</a> (const std::vector< <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> > &inputShapes) const =0</td></tr> +<tr class="memdesc:aa6e3c075c888e7c16942a468a3aae33c"><td class="mdescLeft"> </td><td class="mdescRight">Infer the shape of the output(s) based on the provided input shape(s) <a href="#aa6e3c075c888e7c16942a468a3aae33c">More...</a><br /></td></tr> +<tr class="separator:aa6e3c075c888e7c16942a468a3aae33c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afb5e65c770f6cee222db8af7581541a6"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="namespacearmnn.xhtml#afad4088a9a058114ee5f87246f87bf49">LayerGuid</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#afb5e65c770f6cee222db8af7581541a6">GetGuid</a> () const =0</td></tr> +<tr class="memdesc:afb5e65c770f6cee222db8af7581541a6"><td class="mdescLeft"> </td><td class="mdescRight">Returns the unique id of the layer. <a href="#afb5e65c770f6cee222db8af7581541a6">More...</a><br /></td></tr> +<tr class="separator:afb5e65c770f6cee222db8af7581541a6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8c9198a992b02e61a6777329d487dde3"><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"><td class="mdescLeft"> </td><td class="mdescRight">Apply a visitor to this layer. <a href="#a8c9198a992b02e61a6777329d487dde3">More...</a><br /></td></tr> +<tr class="separator:a8c9198a992b02e61a6777329d487dde3"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a833170f92e96b3ef414b6cf6e5720d2b"><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#a833170f92e96b3ef414b6cf6e5720d2b">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)=0</td></tr> +<tr class="memdesc:a833170f92e96b3ef414b6cf6e5720d2b"><td class="mdescLeft"> </td><td class="mdescRight">Provide a hint for the optimizer as to which backend to prefer for this layer. <a href="#a833170f92e96b3ef414b6cf6e5720d2b">More...</a><br /></td></tr> +<tr class="separator:a833170f92e96b3ef414b6cf6e5720d2b"><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:a8c7faf37c1d965431aaa02ae934d67ee"><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"><td class="mdescLeft"> </td><td class="mdescRight">Objects are not deletable via the handle. <a href="#a8c7faf37c1d965431aaa02ae934d67ee">More...</a><br /></td></tr> +<tr class="separator:a8c7faf37c1d965431aaa02ae934d67ee"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> +<div class="textblock"><p>Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. </p> + +<p class="definition">Definition at line <a class="el" href="_i_network_8hpp_source.xhtml#l00061">61</a> of file <a class="el" href="_i_network_8hpp_source.xhtml">INetwork.hpp</a>.</p> +</div><h2 class="groupheader">Constructor & Destructor Documentation</h2> +<a id="a8c7faf37c1d965431aaa02ae934d67ee"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8c7faf37c1d965431aaa02ae934d67ee">◆ </a></span>~IConnectableLayer()</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_i_connectable_layer.xhtml">IConnectableLayer</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">inline</span><span class="mlabel">protected</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Objects are not deletable via the handle. </p> + +<p class="definition">Definition at line <a class="el" href="_i_network_8hpp_source.xhtml#l00098">98</a> of file <a class="el" href="_i_network_8hpp_source.xhtml">INetwork.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> {}</div></div><!-- fragment --> +</div> +</div> +<h2 class="groupheader">Member Function Documentation</h2> +<a id="a8c9198a992b02e61a6777329d487dde3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8c9198a992b02e61a6777329d487dde3">◆ </a></span>Accept()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">virtual void Accept </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_layer_visitor.xhtml">ILayerVisitor</a> & </td> + <td class="paramname"><em>visitor</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>Apply a visitor to this layer. </p> + +<p>Implemented in <a class="el" href="classarmnn_1_1_lstm_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">LstmLayer</a>, <a class="el" href="classarmnn_1_1_quantized_lstm_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">QuantizedLstmLayer</a>, <a class="el" href="classarmnn_1_1_permute_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">PermuteLayer</a>, <a class="el" href="classarmnn_1_1_transpose_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">TransposeLayer</a>, <a class="el" href="classarmnn_1_1_splitter_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">SplitterLayer</a>, <a class="el" href="classarmnn_1_1_concat_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ConcatLayer</a>, <a class="el" href="classarmnn_1_1_reshape_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ReshapeLayer</a>, <a class="el" href="classarmnn_1_1_convolution2d_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">Convolution2dLayer</a>, <a class="el" href="classarmnn_1_1_depthwise_convolution2d_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">DepthwiseConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_fully_connected_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">FullyConnectedLayer</a>, <a class="el" href="classarmnn_1_1_output_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">OutputLayer</a>, <a class="el" href="classarmnn_1_1_transpose_convolution2d_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">TransposeConvolution2dLayer</a>, <a class="el" href="classarmnn_1_1_batch_normalization_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">BatchNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_constant_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ConstantLayer</a>, <a class="el" href="classarmnn_1_1_stand_in_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">StandInLayer</a>, <a class="el" href="classarmnn_1_1_comparison_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ComparisonLayer</a>, <a class="el" href="classarmnn_1_1_depth_to_space_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">DepthToSpaceLayer</a>, <a class="el" href="classarmnn_1_1_prelu_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">PreluLayer</a>, <a class="el" href="classarmnn_1_1_space_to_batch_nd_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">SpaceToBatchNdLayer</a>, <a class="el" href="classarmnn_1_1_space_to_depth_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">SpaceToDepthLayer</a>, <a class="el" href="classarmnn_1_1_arg_min_max_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ArgMinMaxLayer</a>, <a class="el" href="classarmnn_1_1_batch_to_space_nd_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">BatchToSpaceNdLayer</a>, <a class="el" href="classarmnn_1_1_detection_post_process_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">DetectionPostProcessLayer</a>, <a class="el" href="classarmnn_1_1_elementwise_unary_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ElementwiseUnaryLayer</a>, <a class="el" href="classarmnn_1_1_pooling2d_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">Pooling2dLayer</a>, <a class="el" href="classarmnn_1_1_pre_compiled_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">PreCompiledLayer</a>, <a class="el" href="classarmnn_1_1_resize_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ResizeLayer</a>, <a class="el" href="classarmnn_1_1_slice_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">SliceLayer</a>, <a class="el" href="classarmnn_1_1_stack_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">StackLayer</a>, <a class="el" href="classarmnn_1_1_strided_slice_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">StridedSliceLayer</a>, <a class="el" href="classarmnn_1_1_merge_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">MergeLayer</a>, <a class="el" href="classarmnn_1_1_convert_fp16_to_fp32_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ConvertFp16ToFp32Layer</a>, <a class="el" href="classarmnn_1_1_gather_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">GatherLayer</a>, <a class="el" href="classarmnn_1_1_log_softmax_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">LogSoftmaxLayer</a>, <a class="el" href="classarmnn_1_1_mean_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">MeanLayer</a>, <a class="el" href="classarmnn_1_1_pad_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">PadLayer</a>, <a class="el" href="classarmnn_1_1_abs_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">AbsLayer</a>, <a class="el" href="classarmnn_1_1_convert_fp32_to_fp16_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ConvertFp32ToFp16Layer</a>, <a class="el" href="classarmnn_1_1_debug_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">DebugLayer</a>, <a class="el" href="classarmnn_1_1_dequantize_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">DequantizeLayer</a>, <a class="el" href="classarmnn_1_1_fake_quantization_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">FakeQuantizationLayer</a>, <a class="el" href="classarmnn_1_1_floor_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">FloorLayer</a>, <a class="el" href="classarmnn_1_1_input_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">InputLayer</a>, <a class="el" href="classarmnn_1_1_instance_normalization_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">InstanceNormalizationLayer</a>, <a class="el" href="classarmnn_1_1_l2_normalization_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">L2NormalizationLayer</a>, <a class="el" href="classarmnn_1_1_mem_copy_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">MemCopyLayer</a>, <a class="el" href="classarmnn_1_1_mem_import_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">MemImportLayer</a>, <a class="el" href="classarmnn_1_1_normalization_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">NormalizationLayer</a>, <a class="el" href="classarmnn_1_1_rsqrt_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">RsqrtLayer</a>, <a class="el" href="classarmnn_1_1_softmax_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">SoftmaxLayer</a>, <a class="el" href="classarmnn_1_1_switch_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">SwitchLayer</a>, <a class="el" href="classarmnn_1_1_activation_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">ActivationLayer</a>, <a class="el" href="classarmnn_1_1_division_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">DivisionLayer</a>, <a class="el" href="classarmnn_1_1_maximum_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">MaximumLayer</a>, <a class="el" href="classarmnn_1_1_minimum_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">MinimumLayer</a>, <a class="el" href="classarmnn_1_1_multiplication_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">MultiplicationLayer</a>, <a class="el" href="classarmnn_1_1_subtraction_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">SubtractionLayer</a>, <a class="el" href="classarmnn_1_1_addition_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">AdditionLayer</a>, and <a class="el" href="classarmnn_1_1_quantize_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">QuantizeLayer</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_const_tensor_layer_visitor_8cpp_source.xhtml#l00170">armnn::BOOST_AUTO_TEST_CASE()</a>.</p> + +</div> +</div> +<a id="a833170f92e96b3ef414b6cf6e5720d2b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a833170f92e96b3ef414b6cf6e5720d2b">◆ </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">virtual 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">pure 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>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#a43a46eafee5c08787ab17b4342730c20">Layer</a>.</p> + +</div> +</div> +<a id="afb5e65c770f6cee222db8af7581541a6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afb5e65c770f6cee222db8af7581541a6">◆ </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">virtual <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">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Returns the unique id of the layer. </p> + +<p>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#a8dc12f0ee5b232d397bd18ced1a72a64">Layer</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_network_tests_8cpp_source.xhtml#l00032">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01009">armnn::BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00014">QuantizerVisitor::QuantizerVisitor()</a>, <a class="el" href="_range_tracker_8cpp_source.xhtml#l00012">RangeTracker::SetRange()</a>, <a class="el" href="_profiling_test_utils_8cpp_source.xhtml#l00290">VerifyPostOptimisationStructureTestImpl()</a>, and <a class="el" href="_serializer_8cpp_source.xhtml#l01333">SerializerVisitor::VisitQuantizedLstmLayer()</a>.</p> + +</div> +</div> +<a id="a6ec9e0eb66d7d6a01240492a0b18104c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6ec9e0eb66d7d6a01240492a0b18104c">◆ </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">virtual const <a class="el" href="classarmnn_1_1_i_input_slot.xhtml">IInputSlot</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">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Get a const input slot handle by slot index. </p> + +<p>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">Layer</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_caffe_parser_8cpp_source.xhtml#l00419">CaffeParserBase::AddConvLayerWithSplits()</a>, <a class="el" href="_end_to_end_test_8cpp_source.xhtml#l00017">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l00225">armnn::BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02138">armnnTfParser::CalculatePaddedOutputTensorInfo()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01604">armnn::CompleteLeakyReluNetwork()</a>, <a class="el" href="_test_utils_8cpp_source.xhtml#l00012">Connect()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l00933">armnnTfParser::ConvertTfTensorDataType()</a>, <a class="el" href="_onnx_parser_8cpp_source.xhtml#l00584">OnnxParser::CreateNetworkFromString()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l00295">armnn::CreateNetworkWithActivationLayer()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01060">armnn::CreateNetworkWithFullyConnectedLayer()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l00316">armnn::CreateNetworkWithInputOutputLayers()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01466">armnn::CreateNetworkWithSoftmaxLayer()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01583">armnn::CreateStartOfLeakyReluNetwork()</a>, <a class="el" href="_dynamic_quantization_visitor_8cpp_source.xhtml#l00018">DynamicQuantizationVisitor::DynamicQuantizationVisitor()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l00764">Deserializer::GetNetworkOutputBindingInfo()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02749">TfLiteParser::GetOutputTensorIds()</a>, <a class="el" href="_json_printer_test_impl_8cpp_source.xhtml#l00120">GetSoftmaxProfilerJson()</a>, <a class="el" href="_serializer_8cpp_source.xhtml#l01483">SerializerVisitor::GetVersionTable()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l01468">armnnTfParser::OutputShapeOfExpandDims()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01898">TfLiteParser::OutputShapeOfReshape()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02463">armnnTfParser::OutputShapeOfSqueeze()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01338">CaffeParserBase::ParseBatchNormLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01277">CaffeParserBase::ParseConcatLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01230">CaffeParserBase::ParseEltwiseLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01134">CaffeParserBase::ParseInnerProductLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01027">CaffeParserBase::ParseLRNLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l00883">CaffeParserBase::ParsePoolingLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01001">CaffeParserBase::ParseReluLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01404">CaffeParserBase::ParseScaleLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01208">CaffeParserBase::ParseSoftmaxLayer()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l02926">armnn::PreserveTypeTestImpl()</a>, <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00014">QuantizerVisitor::QuantizerVisitor()</a>, <a class="el" href="_static_range_visitor_8cpp_source.xhtml#l00017">StaticRangeVisitor::StaticRangeVisitor()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01155">armnn::TestQuantizeConvolution2d()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01241">armnn::TestQuantizeDepthwiseConvolution2d()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l02597">armnn::TestQuantizeTransposeConvolution2d()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l00488">TfLiteParser::TfLiteParser()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l00515">TfParser::TfParser()</a>, <a class="el" href="_profiling_test_utils_8cpp_source.xhtml#l00290">VerifyPostOptimisationStructureTestImpl()</a>, <a class="el" href="_dynamic_quantization_visitor_8cpp_source.xhtml#l00248">DynamicQuantizationVisitor::VisitConcatLayer()</a>, <a class="el" href="_static_range_visitor_8cpp_source.xhtml#l00159">StaticRangeVisitor::VisitConcatLayer()</a>, <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00311">QuantizerVisitor::VisitInputLayer()</a>, and <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00373">QuantizerVisitor::VisitOutputLayer()</a>.</p> + +</div> +</div> +<a id="ae3fd4f909aec6a9e150ba82dfad4017f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae3fd4f909aec6a9e150ba82dfad4017f">◆ </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">virtual <a class="el" href="classarmnn_1_1_i_input_slot.xhtml">IInputSlot</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">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Get the input slot handle by slot index. </p> + +<p>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#a1b50eb1358cdf382f4bc3fc8849f8e8e">Layer</a>.</p> + +</div> +</div> +<a id="afcc1c3a20bd2860e0ddd21674389246f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afcc1c3a20bd2860e0ddd21674389246f">◆ </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">virtual 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">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Returns the name of the layer. </p> + +<p>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">Layer</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_network_tests_8cpp_source.xhtml#l00374">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l02976">armnn::BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l03699">TfParser::GetNetworkOutputBindingInfo()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l00045">IWorkloadFactory::IsLayerSupported()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01898">TfLiteParser::OutputShapeOfReshape()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l00488">TfLiteParser::TfLiteParser()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01509">CaffeParserBase::TrackBindingPoint()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01495">CaffeParserBase::TrackInputBinding()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01502">CaffeParserBase::TrackOutputBinding()</a>, and <a class="el" href="_serializer_8cpp_source.xhtml#l01333">SerializerVisitor::VisitQuantizedLstmLayer()</a>.</p> + +</div> +</div> +<a id="a9c2cba04b6d7ace4fc2a2436b82a5a63"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9c2cba04b6d7ace4fc2a2436b82a5a63">◆ </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">virtual 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">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Returns the number of connectable input slots. </p> + +<p>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#abc0660dc440c8a285b456c9ef6383c26">Layer</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_network_tests_8cpp_source.xhtml#l00069">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_onnx_parser_8cpp_source.xhtml#l00584">OnnxParser::CreateNetworkFromString()</a>, <a class="el" href="_dynamic_quantization_visitor_8cpp_source.xhtml#l00018">DynamicQuantizationVisitor::DynamicQuantizationVisitor()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l00764">Deserializer::GetNetworkOutputBindingInfo()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02749">TfLiteParser::GetOutputTensorIds()</a>, <a class="el" href="_serializer_8cpp_source.xhtml#l01483">SerializerVisitor::GetVersionTable()</a>, <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00014">QuantizerVisitor::QuantizerVisitor()</a>, <a class="el" href="_dynamic_quantization_visitor_8cpp_source.xhtml#l00248">DynamicQuantizationVisitor::VisitConcatLayer()</a>, and <a class="el" href="_static_range_visitor_8cpp_source.xhtml#l00159">StaticRangeVisitor::VisitConcatLayer()</a>.</p> + +</div> +</div> +<a id="ac2dac3b61c94de52093616be4ab17f8d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac2dac3b61c94de52093616be4ab17f8d">◆ </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">virtual 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">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Returns the number of connectable output slots. </p> + +<p>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#a1594bddc87d6477df300317658f566bb">Layer</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_caffe_parser_8cpp_source.xhtml#l00419">CaffeParserBase::AddConvLayerWithSplits()</a>, <a class="el" href="_network_tests_8cpp_source.xhtml#l00069">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_onnx_parser_8cpp_source.xhtml#l00584">OnnxParser::CreateNetworkFromString()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l00764">Deserializer::GetNetworkOutputBindingInfo()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02749">TfLiteParser::GetOutputTensorIds()</a>, <a class="el" href="_serializer_8cpp_source.xhtml#l01483">SerializerVisitor::GetVersionTable()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01898">TfLiteParser::OutputShapeOfReshape()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02463">armnnTfParser::OutputShapeOfSqueeze()</a>, and <a class="el" href="_range_tracker_8cpp_source.xhtml#l00012">RangeTracker::SetRange()</a>.</p> + +</div> +</div> +<a id="a80ac4eda2e7f2757ec9dd96fc96dbd16"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a80ac4eda2e7f2757ec9dd96fc96dbd16">◆ </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">virtual const <a class="el" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a>& GetOutputSlot </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">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Get the const output slot handle by slot index. </p> + +<p>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">Layer</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_caffe_parser_8cpp_source.xhtml#l00419">CaffeParserBase::AddConvLayerWithSplits()</a>, <a class="el" href="_end_to_end_test_8cpp_source.xhtml#l00017">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l00225">armnn::BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02138">armnnTfParser::CalculatePaddedOutputTensorInfo()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01604">armnn::CompleteLeakyReluNetwork()</a>, <a class="el" href="_test_utils_8cpp_source.xhtml#l00012">Connect()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l00933">armnnTfParser::ConvertTfTensorDataType()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l00605">TfLiteParser::CreateNetworkFromBinary()</a>, <a class="el" href="_onnx_parser_8cpp_source.xhtml#l00584">OnnxParser::CreateNetworkFromString()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l00295">armnn::CreateNetworkWithActivationLayer()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01060">armnn::CreateNetworkWithFullyConnectedLayer()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l00316">armnn::CreateNetworkWithInputOutputLayers()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01466">armnn::CreateNetworkWithSoftmaxLayer()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01583">armnn::CreateStartOfLeakyReluNetwork()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l02465">Deserializer::GetLstmDescriptor()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l00764">Deserializer::GetNetworkOutputBindingInfo()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l02159">Deserializer::GetNormalizationDescriptor()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l01554">armnnDeserializer::GetOriginsDescriptor()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02749">TfLiteParser::GetOutputTensorIds()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l01808">Deserializer::GetPoolingDescriptor()</a>, <a class="el" href="_json_printer_test_impl_8cpp_source.xhtml#l00120">GetSoftmaxProfilerJson()</a>, <a class="el" href="_serializer_8cpp_source.xhtml#l01483">SerializerVisitor::GetVersionTable()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l01468">armnnTfParser::OutputShapeOfExpandDims()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l01938">Deserializer::OutputShapeOfReshape()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01898">TfLiteParser::OutputShapeOfReshape()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l01463">TfLiteParser::OutputShapeOfSqueeze()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02463">armnnTfParser::OutputShapeOfSqueeze()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01338">CaffeParserBase::ParseBatchNormLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01277">CaffeParserBase::ParseConcatLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01230">CaffeParserBase::ParseEltwiseLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01134">CaffeParserBase::ParseInnerProductLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01027">CaffeParserBase::ParseLRNLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l00883">CaffeParserBase::ParsePoolingLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01001">CaffeParserBase::ParseReluLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01404">CaffeParserBase::ParseScaleLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01208">CaffeParserBase::ParseSoftmaxLayer()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l02926">armnn::PreserveTypeTestImpl()</a>, <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00014">QuantizerVisitor::QuantizerVisitor()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01155">armnn::TestQuantizeConvolution2d()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l01241">armnn::TestQuantizeDepthwiseConvolution2d()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l02597">armnn::TestQuantizeTransposeConvolution2d()</a>, <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l00488">TfLiteParser::TfLiteParser()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l00515">TfParser::TfParser()</a>, <a class="el" href="_profiling_test_utils_8cpp_source.xhtml#l00290">VerifyPostOptimisationStructureTestImpl()</a>, <a class="el" href="_quantization_data_set_8cpp_source.xhtml#l00052">InputLayerVisitor::VisitInputLayer()</a>, <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00311">QuantizerVisitor::VisitInputLayer()</a>, <a class="el" href="_quantizer_test_8cpp_source.xhtml#l00191">armnn::VisitLayersTopologically()</a>, and <a class="el" href="_quantizer_visitor_8cpp_source.xhtml#l00373">QuantizerVisitor::VisitOutputLayer()</a>.</p> + +</div> +</div> +<a id="a75bfde3503c1b21c397bb095f55db990"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a75bfde3503c1b21c397bb095f55db990">◆ </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">virtual <a class="el" href="classarmnn_1_1_i_output_slot.xhtml">IOutputSlot</a>& GetOutputSlot </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">pure virtual</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Get the output slot handle by slot index. </p> + +<p>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#abbd71844785bb2f00a81baca30ea5ff0">Layer</a>.</p> + +</div> +</div> +<a id="aa6e3c075c888e7c16942a468a3aae33c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa6e3c075c888e7c16942a468a3aae33c">◆ </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">virtual 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">pure 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>Implemented in <a class="el" href="classarmnn_1_1_layer.xhtml#a65ca562c882ad619684445a1402f415a">Layer</a>, <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> + +</div> +</div> +<hr/>The documentation for this class was generated from the following file:<ul> +<li>include/armnn/<a class="el" href="_i_network_8hpp_source.xhtml">INetwork.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_i_connectable_layer.xhtml">IConnectableLayer</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> |