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author | Nikhil Raj <nikhil.raj@arm.com> | 2023-05-19 11:14:28 +0100 |
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committer | Nikhil Raj <nikhil.raj@arm.com> | 2023-05-19 11:14:28 +0100 |
commit | 8efb48a6847c5cd166c561127ae6611150963ce3 (patch) | |
tree | f4262b7e54d26021a54bbc310f46d16a291463e5 /23.05/namespacearmnn__driver.xhtml | |
parent | 023fe66a59414a0a7b337c7be5c3c341eb5b55d2 (diff) | |
download | armnn-8efb48a6847c5cd166c561127ae6611150963ce3.tar.gz |
Update Doxygen docu for 23.05
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I0a992286f14fa68fcc6e5eba31ac39fed003cbbe
Diffstat (limited to '23.05/namespacearmnn__driver.xhtml')
-rw-r--r-- | 23.05/namespacearmnn__driver.xhtml | 4616 |
1 files changed, 4616 insertions, 0 deletions
diff --git a/23.05/namespacearmnn__driver.xhtml b/23.05/namespacearmnn__driver.xhtml new file mode 100644 index 0000000000..40bd6edbf4 --- /dev/null +++ b/23.05/namespacearmnn__driver.xhtml @@ -0,0 +1,4616 @@ +<!-- 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 1.8.17"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: armnn_driver Namespace 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> +<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" async="async" 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">23.05</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.17 --> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +/* @license-end */ +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +/* @license-end */</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('namespacearmnn__driver.xhtml',''); initResizable(); }); +/* @license-end */ +</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="#nested-classes">Classes</a> | +<a href="#typedef-members">Typedefs</a> | +<a href="#enum-members">Enumerations</a> | +<a href="#func-members">Functions</a> | +<a href="#var-members">Variables</a> </div> + <div class="headertitle"> +<div class="title">armnn_driver Namespace Reference</div> </div> +</div><!--header--> +<div class="contents"> + +<p>Helper classes. +<a href="namespacearmnn__driver.xhtml#details">More...</a></p> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a> +Classes</h2></td></tr> +<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_device.xhtml">ArmnnDevice</a></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_driver.xhtml">ArmnnDriver</a></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_driver_impl.xhtml">ArmnnDriverImpl</a></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.xhtml">ArmnnPreparedModel</a></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn__driver_1_1_canonical_execution_context.xhtml">CanonicalExecutionContext</a></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_const_tensor_pin.xhtml">ConstTensorPin</a></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_converter.xhtml">Converter</a></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_driver_options.xhtml">DriverOptions</a></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_layer_input_handle.xhtml">LayerInputHandle</a></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_model_to_i_network_transformer.xhtml">ModelToINetworkTransformer</a></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_unsupported_operand.xhtml">UnsupportedOperand</a></td></tr> +<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="typedef-members"></a> +Typedefs</h2></td></tr> +<tr class="memitem:a34209101a89c1ae72081a0fb53725852"><td class="memTemplParams" colspan="2">template<typename TensorType > </td></tr> +<tr class="memitem:a34209101a89c1ae72081a0fb53725852"><td class="memTemplItemLeft" align="right" valign="top">using </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a34209101a89c1ae72081a0fb53725852">DumpElementFunction</a> = void(*)(const TensorType &tensor, unsigned int elementIndex, std::ofstream &fileStream)</td></tr> +<tr class="separator:a34209101a89c1ae72081a0fb53725852"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a923b39ec5f83672f50289cbaf5de6798"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> = ::android::nn::Model</td></tr> +<tr class="memdesc:a923b39ec5f83672f50289cbaf5de6798"><td class="mdescLeft"> </td><td class="mdescRight">Helper classes. <a href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">More...</a><br /></td></tr> +<tr class="separator:a923b39ec5f83672f50289cbaf5de6798"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa9b4bc8d4cfb04be14771dbb1bc1a1ac"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> = ::android::nn::Operand</td></tr> +<tr class="separator:aa9b4bc8d4cfb04be14771dbb1bc1a1ac"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a275cd95635b854a80bb33f171d861ddc"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a275cd95635b854a80bb33f171d861ddc">OperandLifeTime</a> = ::android::nn::Operand::LifeTime</td></tr> +<tr class="separator:a275cd95635b854a80bb33f171d861ddc"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a53bfb6eb38a90244ba166b641a6965d9"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a> = ::android::nn::OperandType</td></tr> +<tr class="separator:a53bfb6eb38a90244ba166b641a6965d9"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad3a9c1424b37970a54624f514196b985"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> = ::android::nn::Operation</td></tr> +<tr class="separator:ad3a9c1424b37970a54624f514196b985"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ace6b45d6363c32d1b93b7fce14bf6344"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#ace6b45d6363c32d1b93b7fce14bf6344">OperationType</a> = ::android::nn::OperationType</td></tr> +<tr class="separator:ace6b45d6363c32d1b93b7fce14bf6344"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1fa5070fa0d079873acaf7581de8a2ad"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> = ::android::nn::ErrorStatus</td></tr> +<tr class="separator:a1fa5070fa0d079873acaf7581de8a2ad"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8932639a884a3dc698f29d4e8395ba49"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a8932639a884a3dc698f29d4e8395ba49">DequantizeResult</a> = std::tuple< std::unique_ptr< float[]>, size_t, <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>, <a class="el" href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5c">DequantizeStatus</a> ></td></tr> +<tr class="separator:a8932639a884a3dc698f29d4e8395ba49"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0f38fa92b2468d5378258a2b074c1a31"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a0f38fa92b2468d5378258a2b074c1a31">Half</a> = half_float::half</td></tr> +<tr class="separator:a0f38fa92b2468d5378258a2b074c1a31"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="enum-members"></a> +Enumerations</h2></td></tr> +<tr class="memitem:afa2a6d5a1431289c92cea9cceeb174c9"><td class="memItemLeft" align="right" valign="top">enum  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9">ConversionResult</a> { <a class="el" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a505a83f220c02df2f85c3810cd9ceb38">Success</a>, +<a class="el" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9ab7d6155514def6898ba4432a82efd28b">ErrorMappingPools</a>, +<a class="el" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527">UnsupportedFeature</a> + }</td></tr> +<tr class="separator:afa2a6d5a1431289c92cea9cceeb174c9"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a10c64daf22426af432d0a9ada03eee5c"><td class="memItemLeft" align="right" valign="top">enum  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5c">DequantizeStatus</a> { <a class="el" href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5cad0749aaba8b833466dfcbb0428e4f89c">SUCCESS</a>, +<a class="el" href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5caaf655f85da1fc9b6a348b9893ee6aef7">NOT_REQUIRED</a>, +<a class="el" href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5ca6bf179afa8f7fba18cf39bc0ca6fe043">INVALID_OPERAND</a> + }</td></tr> +<tr class="separator:a10c64daf22426af432d0a9ada03eee5c"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> +Functions</h2></td></tr> +<tr class="memitem:a5665b88a0b22c6341dd8075048981689"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a5665b88a0b22c6341dd8075048981689">SwizzleAndroidNn4dTensorToArmNn</a> (<a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &tensor, const void *input, void *output, const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> &mappings)</td></tr> +<tr class="memdesc:a5665b88a0b22c6341dd8075048981689"><td class="mdescLeft"> </td><td class="mdescRight">Swizzles tensor data in <em>input</em> according to the dimension mappings. <a href="namespacearmnn__driver.xhtml#a5665b88a0b22c6341dd8075048981689">More...</a><br /></td></tr> +<tr class="separator:a5665b88a0b22c6341dd8075048981689"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a96666c2945d7fe8c34aee30a449287d5"><td class="memItemLeft" align="right" valign="top">void * </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a96666c2945d7fe8c34aee30a449287d5">GetMemoryFromPool</a> (DataLocation location, const std::vector< android::nn::RunTimePoolInfo > &memPools)</td></tr> +<tr class="memdesc:a96666c2945d7fe8c34aee30a449287d5"><td class="mdescLeft"> </td><td class="mdescRight">Returns a pointer to a specific location in a pool`. <a href="namespacearmnn__driver.xhtml#a96666c2945d7fe8c34aee30a449287d5">More...</a><br /></td></tr> +<tr class="separator:a96666c2945d7fe8c34aee30a449287d5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a915f2652854e417e26afc297f12e107c"><td class="memItemLeft" align="right" valign="top">void * </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a915f2652854e417e26afc297f12e107c">GetMemoryFromPointer</a> (const Request::Argument &requestArg)</td></tr> +<tr class="separator:a915f2652854e417e26afc297f12e107c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a93f4874062e34819806d36b74c73dc61"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a> (const <a class="el" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &operand)</td></tr> +<tr class="separator:a93f4874062e34819806d36b74c73dc61"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac0532f3c7d143a04aee7f5991ee5d381"><td class="memItemLeft" align="right" valign="top">std::string </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#ac0532f3c7d143a04aee7f5991ee5d381">GetOperandSummary</a> (const <a class="el" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &operand)</td></tr> +<tr class="separator:ac0532f3c7d143a04aee7f5991ee5d381"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa25bddb175983b2d3e0965440323d789"><td class="memTemplParams" colspan="2">template<typename TensorType > </td></tr> +<tr class="memitem:aa25bddb175983b2d3e0965440323d789"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#aa25bddb175983b2d3e0965440323d789">DumpTensor</a> (const std::string &dumpDir, const std::string &requestName, const std::string &tensorName, const TensorType &tensor)</td></tr> +<tr class="separator:aa25bddb175983b2d3e0965440323d789"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a46cd012184b5106f810f5b6ea75863c4"><td class="memItemLeft" align="right" valign="top">template void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a46cd012184b5106f810f5b6ea75863c4">DumpTensor< armnn::ConstTensor ></a> (const std::string &dumpDir, const std::string &requestName, const std::string &tensorName, const <a class="el" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> &tensor)</td></tr> +<tr class="separator:a46cd012184b5106f810f5b6ea75863c4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a533bbc27789ba037d6f6b75f58624567"><td class="memItemLeft" align="right" valign="top">template void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a533bbc27789ba037d6f6b75f58624567">DumpTensor< armnn::Tensor ></a> (const std::string &dumpDir, const std::string &requestName, const std::string &tensorName, const <a class="el" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> &tensor)</td></tr> +<tr class="separator:a533bbc27789ba037d6f6b75f58624567"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa313ae79f70102e3451d45d3387c2e46"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#aa313ae79f70102e3451d45d3387c2e46">DumpJsonProfilingIfRequired</a> (bool gpuProfilingEnabled, const std::string &dumpDir, <a class="el" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId, const <a class="el" href="classarmnn_1_1_i_profiler.xhtml">armnn::IProfiler</a> *profiler)</td></tr> +<tr class="separator:aa313ae79f70102e3451d45d3387c2e46"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5304cf930377fc082e7494d20de2be12"><td class="memItemLeft" align="right" valign="top">std::string </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a5304cf930377fc082e7494d20de2be12">ExportNetworkGraphToDotFile</a> (const <a class="el" href="classarmnn_1_1_i_optimized_network.xhtml">armnn::IOptimizedNetwork</a> &optimizedNetwork, const std::string &dumpDir)</td></tr> +<tr class="separator:a5304cf930377fc082e7494d20de2be12"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a31f074135a3dba97d9baf1dffd0a07fd"><td class="memItemLeft" align="right" valign="top">std::string </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a31f074135a3dba97d9baf1dffd0a07fd">SerializeNetwork</a> (const <a class="el" href="classarmnn_1_1_i_network.xhtml">armnn::INetwork</a> &network, const std::string &dumpDir, std::vector< uint8_t > &dataCacheData, bool dataCachingActive)</td></tr> +<tr class="separator:a31f074135a3dba97d9baf1dffd0a07fd"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a208149d5c08f84debf8b265bb508fe02"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a208149d5c08f84debf8b265bb508fe02">IsDynamicTensor</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &outputInfo)</td></tr> +<tr class="memdesc:a208149d5c08f84debf8b265bb508fe02"><td class="mdescLeft"> </td><td class="mdescRight">Checks if a tensor info represents a dynamic tensor. <a href="namespacearmnn__driver.xhtml#a208149d5c08f84debf8b265bb508fe02">More...</a><br /></td></tr> +<tr class="separator:a208149d5c08f84debf8b265bb508fe02"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a85d53debffd9611a3b5bc6031afd5073"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a85d53debffd9611a3b5bc6031afd5073">AreDynamicTensorsSupported</a> (void)</td></tr> +<tr class="memdesc:a85d53debffd9611a3b5bc6031afd5073"><td class="mdescLeft"> </td><td class="mdescRight">Checks for ArmNN support of dynamic tensors. <a href="namespacearmnn__driver.xhtml#a85d53debffd9611a3b5bc6031afd5073">More...</a><br /></td></tr> +<tr class="separator:a85d53debffd9611a3b5bc6031afd5073"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab3c135a0d4b1152f6b989ea6afddd6bc"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#ab3c135a0d4b1152f6b989ea6afddd6bc">isQuantizedOperand</a> (const <a class="el" href="namespacearmnn__driver.xhtml#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a> &operandType)</td></tr> +<tr class="separator:ab3c135a0d4b1152f6b989ea6afddd6bc"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a31b494d1b36f5ed7fc7556a0fbc2c17c"><td class="memItemLeft" align="right" valign="top">std::string </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a31b494d1b36f5ed7fc7556a0fbc2c17c">GetModelSummary</a> (const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model)</td></tr> +<tr class="separator:a31b494d1b36f5ed7fc7556a0fbc2c17c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a419cd7b9bad83f31f6db8ba9a3b9517a"><td class="memItemLeft" align="right" valign="top">std::string </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a419cd7b9bad83f31f6db8ba9a3b9517a">GetFileTimestamp</a> ()</td></tr> +<tr class="separator:a419cd7b9bad83f31f6db8ba9a3b9517a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3d30e31a46482fbc714fc34e0d5a1c90"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a3d30e31a46482fbc714fc34e0d5a1c90">RenameExportedFiles</a> (const std::string &existingSerializedFileName, const std::string &existingDotFileName, const std::string &dumpDir, const <a class="el" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId)</td></tr> +<tr class="separator:a3d30e31a46482fbc714fc34e0d5a1c90"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a00b317cd97319ac7b6a248a768ceb201"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a00b317cd97319ac7b6a248a768ceb201">RenameFile</a> (const std::string &existingName, const std::string &extension, const std::string &dumpDir, const <a class="el" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId)</td></tr> +<tr class="separator:a00b317cd97319ac7b6a248a768ceb201"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7c1c80ee0f432b6b621c40571410195a"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a7c1c80ee0f432b6b621c40571410195a">CommitPools</a> (std::vector<::android::nn::RunTimePoolInfo > &memPools)</td></tr> +<tr class="separator:a7c1c80ee0f432b6b621c40571410195a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a93d7282d7b5701a723304d87fcdc3a43"><td class="memItemLeft" align="right" valign="top">OutputShape </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a93d7282d7b5701a723304d87fcdc3a43">ComputeShape</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &info)</td></tr> +<tr class="separator:a93d7282d7b5701a723304d87fcdc3a43"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a56e87ad879b142327b822beff44ca171"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a56e87ad879b142327b822beff44ca171">IsWeightsValid</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t inputIndex, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model)</td></tr> +<tr class="memdesc:a56e87ad879b142327b822beff44ca171"><td class="mdescLeft"> </td><td class="mdescRight">Utility functions. <a href="namespacearmnn__driver.xhtml#a56e87ad879b142327b822beff44ca171">More...</a><br /></td></tr> +<tr class="separator:a56e87ad879b142327b822beff44ca171"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a82e85436d5f7cbfa90e8ab521bddae31"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn__driver_1_1_const_tensor_pin.xhtml">ConstTensorPin</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a82e85436d5f7cbfa90e8ab521bddae31">ConvertOperandToConstTensorPin</a> (const <a class="el" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &operand, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data, const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> &dimensionMappings, const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> *overrideTensorShape, bool optional, const <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> *overrideDataType)</td></tr> +<tr class="separator:a82e85436d5f7cbfa90e8ab521bddae31"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1f6b85ab26d684241babcde2d659116b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn__driver_1_1_layer_input_handle.xhtml">LayerInputHandle</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a1f6b85ab26d684241babcde2d659116b">ConvertToLayerInputHandle</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t inputIndex, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data, const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> &dimensionMappings, const <a class="el" href="classarmnn__driver_1_1_layer_input_handle.xhtml">LayerInputHandle</a> *inputHandle)</td></tr> +<tr class="separator:a1f6b85ab26d684241babcde2d659116b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8d4f662a4fb5b9272724bdaeacbd370a"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a8d4f662a4fb5b9272724bdaeacbd370a">ConvertPaddings</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data, unsigned int rank, <a class="el" href="structarmnn_1_1_pad_descriptor.xhtml">armnn::PadDescriptor</a> &padDescriptor)</td></tr> +<tr class="separator:a8d4f662a4fb5b9272724bdaeacbd370a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a2eb75cb48464cf87c290503d7bea79a4"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a2eb75cb48464cf87c290503d7bea79a4">ConvertPooling2d</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, const char *operationName, <a class="el" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">armnn::PoolingAlgorithm</a> poolType, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data)</td></tr> +<tr class="separator:a2eb75cb48464cf87c290503d7bea79a4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3f6b313fd199d1552844f3f95fd25cd2"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a3f6b313fd199d1552844f3f95fd25cd2">ConvertReduce</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data, <a class="el" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0">armnn::ReduceOperation</a> reduceOperation)</td></tr> +<tr class="separator:a3f6b313fd199d1552844f3f95fd25cd2"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a28243ca97e12ccb50e01f03d313ecc86"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a28243ca97e12ccb50e01f03d313ecc86">ConvertToActivation</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, const char *operationName, const <a class="el" href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a> &activationDesc, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data)</td></tr> +<tr class="separator:a28243ca97e12ccb50e01f03d313ecc86"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a78a9a9f196810df6bc4795568f275c75"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn__driver.xhtml#a8932639a884a3dc698f29d4e8395ba49">DequantizeResult</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a78a9a9f196810df6bc4795568f275c75">DequantizeIfRequired</a> (size_t operand_index, const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data)</td></tr> +<tr class="separator:a78a9a9f196810df6bc4795568f275c75"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a37ca67c646393225921543233a873803"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn__driver_1_1_const_tensor_pin.xhtml">ConstTensorPin</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a37ca67c646393225921543233a873803">DequantizeAndMakeConstTensorPin</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data, size_t operandIndex, bool optional)</td></tr> +<tr class="separator:a37ca67c646393225921543233a873803"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa9ef723ace8562b9636e8387a120fbde"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#aa9ef723ace8562b9636e8387a120fbde">GetInputPaddingScheme</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t inputIndex, PaddingScheme &outPaddingScheme, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data)</td></tr> +<tr class="separator:aa9ef723ace8562b9636e8387a120fbde"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8d20245b5ca3cbb0b132064ab44f2682"><td class="memItemLeft" align="right" valign="top">const void * </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a8d20245b5ca3cbb0b132064ab44f2682">GetOperandValueReadOnlyAddress</a> (const <a class="el" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &operand, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data, bool optional)</td></tr> +<tr class="separator:a8d20245b5ca3cbb0b132064ab44f2682"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac8643aaee3eafc54336c5462b51bd53f"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#ac8643aaee3eafc54336c5462b51bd53f">GetTensorInt32Values</a> (const <a class="el" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &operand, std::vector< int32_t > &outValues, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data)</td></tr> +<tr class="separator:ac8643aaee3eafc54336c5462b51bd53f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3f3a756df9dee4b33566cddd786b83c9"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a3f3a756df9dee4b33566cddd786b83c9">OptionalDataLayout</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t inputIndex, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data)</td></tr> +<tr class="separator:a3f3a756df9dee4b33566cddd786b83c9"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aac972ee73e8bd2374bc40ab844a7d894"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#aac972ee73e8bd2374bc40ab844a7d894">ProcessActivation</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &tensorInfo, ActivationFn activation, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a> *prevLayer, <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data)</td></tr> +<tr class="separator:aac972ee73e8bd2374bc40ab844a7d894"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5378da53b59c1c826e6320383ca0257e"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a5378da53b59c1c826e6320383ca0257e">SetupAndTrackLayerOutputSlot</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t operationOutputIndex, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a> &layer, uint32_t layerOutputIndex, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> *overrideOutputInfo, const std::function< void(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &, bool &)> &validateFunc, const ActivationFn &activationFunction, bool inferOutputShapes)</td></tr> +<tr class="separator:a5378da53b59c1c826e6320383ca0257e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a7bf2bd59bc8ca21e0dd906044bfc2faf"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a7bf2bd59bc8ca21e0dd906044bfc2faf">IsConnectedToDequantize</a> (<a class="el" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a> *ioutputSlot)</td></tr> +<tr class="separator:a7bf2bd59bc8ca21e0dd906044bfc2faf"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a14977f94479f2f7e13bdf915ac8ce8d0"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t inputIndex, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, bool failOnIndexOutOfBounds=true)</td></tr> +<tr class="separator:a14977f94479f2f7e13bdf915ac8ce8d0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5890dee5ebd8c09d4b3787136d8170d8"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a5890dee5ebd8c09d4b3787136d8170d8">GetOutputOperand</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t outputIndex, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model)</td></tr> +<tr class="separator:a5890dee5ebd8c09d4b3787136d8170d8"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:adfc2c5b834fdb89e5458ddb1d9aa7830"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#adfc2c5b834fdb89e5458ddb1d9aa7830">GetOperandType</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t inputIndex, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, <a class="el" href="namespacearmnn__driver.xhtml#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a> &type)</td></tr> +<tr class="separator:adfc2c5b834fdb89e5458ddb1d9aa7830"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9ddfceb499ef7b3d01053399bc79b852"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a9ddfceb499ef7b3d01053399bc79b852">IsOperandConstant</a> (const <a class="el" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &operand)</td></tr> +<tr class="separator:a9ddfceb499ef7b3d01053399bc79b852"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8c749c18e62c59a5c1254aac342c995a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn__driver_1_1_const_tensor_pin.xhtml">ConstTensorPin</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a8c749c18e62c59a5c1254aac342c995a">ConvertOperationInputToConstTensorPin</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t inputIndex, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data, const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> &dimensionMappings=<a class="el" href="namespacearmnn__driver.xhtml#ae059aea66ee0867a204aa2f2d9abb42c">g_DontPermute</a>, const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> *overrideTensorShape=nullptr, bool optional=false)</td></tr> +<tr class="separator:a8c749c18e62c59a5c1254aac342c995a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abf92490dc588f48af86fc12184841fd5"><td class="memTemplParams" colspan="2">template<typename OutputType > </td></tr> +<tr class="memitem:abf92490dc588f48af86fc12184841fd5"><td class="memTemplItemLeft" align="right" valign="top">bool </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t inputIndex, <a class="el" href="namespacearmnn__driver.xhtml#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a> type, OutputType &outValue, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data, bool optional=false)</td></tr> +<tr class="separator:abf92490dc588f48af86fc12184841fd5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa43f9c81f830559c15e5af86f8e11482"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#aa43f9c81f830559c15e5af86f8e11482">GetInputInt32</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t inputIndex, int32_t &outValue, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data)</td></tr> +<tr class="separator:aa43f9c81f830559c15e5af86f8e11482"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a560530462631e354561c1763f695351c"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a560530462631e354561c1763f695351c">GetInputFloat32</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t inputIndex, float &outValue, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data)</td></tr> +<tr class="separator:a560530462631e354561c1763f695351c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3ac499dc54900adc7f2613944b583e10"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a3ac499dc54900adc7f2613944b583e10">GetInputActivationFunctionImpl</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t inputIndex, <a class="el" href="namespacearmnn__driver.xhtml#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a> type, ActivationFn &outActivationFunction, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data)</td></tr> +<tr class="separator:a3ac499dc54900adc7f2613944b583e10"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac092fff5c81f7938eea9a2479f014c66"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#ac092fff5c81f7938eea9a2479f014c66">GetInputActivationFunction</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t inputIndex, ActivationFn &outActivationFunction, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data)</td></tr> +<tr class="separator:ac092fff5c81f7938eea9a2479f014c66"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a4c6b55ca5080b58c2cc6d7c6c7347d96"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a4c6b55ca5080b58c2cc6d7c6c7347d96">GetInputActivationFunctionFromTensor</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t inputIndex, ActivationFn &outActivationFunction, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data)</td></tr> +<tr class="separator:a4c6b55ca5080b58c2cc6d7c6c7347d96"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acd62ec697055015572a6ba61eaba4f1a"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#acd62ec697055015572a6ba61eaba4f1a">GetOptionalInputActivation</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t inputIndex, ActivationFn &activationFunction, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data)</td></tr> +<tr class="separator:acd62ec697055015572a6ba61eaba4f1a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acfe37581bc8296b5d4cdb311b1e3f142"><td class="memTemplParams" colspan="2">template<typename ConvolutionDescriptor > </td></tr> +<tr class="memitem:acfe37581bc8296b5d4cdb311b1e3f142"><td class="memTemplItemLeft" align="right" valign="top">bool </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#acfe37581bc8296b5d4cdb311b1e3f142">GetOptionalConvolutionDilationParams</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t dilationXIndex, ConvolutionDescriptor &descriptor, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data)</td></tr> +<tr class="separator:acfe37581bc8296b5d4cdb311b1e3f142"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ae28f9841f6cb1775849b7921b54da32e"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#ae28f9841f6cb1775849b7921b54da32e">GetOptionalBool</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t inputIndex, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data)</td></tr> +<tr class="separator:ae28f9841f6cb1775849b7921b54da32e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad8f11d121a42a43f14c18bdb10f14b9e"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#ad8f11d121a42a43f14c18bdb10f14b9e">SetupAndTrackLayerOutputSlot</a> (const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> &operation, uint32_t outputIndex, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a> &layer, const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> &model, <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> &data, const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> *overrideOutputInfo=nullptr, const std::function< void(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &, bool &)> &validateFunc=nullptr, const ActivationFn &activationFunction=ActivationFn::kActivationNone)</td></tr> +<tr class="separator:ad8f11d121a42a43f14c18bdb10f14b9e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a267f6b68937e2126b6ca890a6b11ea9c"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#a267f6b68937e2126b6ca890a6b11ea9c">IsQSymm8</a> (const <a class="el" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &operand)</td></tr> +<tr class="separator:a267f6b68937e2126b6ca890a6b11ea9c"><td class="memSeparator" colspan="2"> </td></tr> +</table><table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="var-members"></a> +Variables</h2></td></tr> +<tr class="memitem:ae059aea66ee0867a204aa2f2d9abb42c"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.xhtml#ae059aea66ee0867a204aa2f2d9abb42c">g_DontPermute</a> {}</td></tr> +<tr class="separator:ae059aea66ee0867a204aa2f2d9abb42c"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> +<div class="textblock"><p>Helper classes. </p> +</div><h2 class="groupheader">Typedef Documentation</h2> +<a id="a8932639a884a3dc698f29d4e8395ba49"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8932639a884a3dc698f29d4e8395ba49">◆ </a></span>DequantizeResult</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">using <a class="el" href="namespacearmnn__driver.xhtml#a8932639a884a3dc698f29d4e8395ba49">DequantizeResult</a> = std::tuple<std::unique_ptr<float[]>, size_t, <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>, <a class="el" href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5c">DequantizeStatus</a>></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l01014">1014</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> + +</div> +</div> +<a id="a34209101a89c1ae72081a0fb53725852"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a34209101a89c1ae72081a0fb53725852">◆ </a></span>DumpElementFunction</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">using <a class="el" href="namespacearmnn__driver.xhtml#a34209101a89c1ae72081a0fb53725852">DumpElementFunction</a> = void (*)(const TensorType& tensor, unsigned int elementIndex, std::ofstream& fileStream)</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00204">204</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> + +</div> +</div> +<a id="a1fa5070fa0d079873acaf7581de8a2ad"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1fa5070fa0d079873acaf7581de8a2ad">◆ </a></span>ErrorStatus</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">using <a class="el" href="namespacearmnn__driver.xhtml#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> = ::android::nn::ErrorStatus</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00049">49</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> + +</div> +</div> +<a id="a0f38fa92b2468d5378258a2b074c1a31"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0f38fa92b2468d5378258a2b074c1a31">◆ </a></span>Half</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">using <a class="el" href="namespacearmnn__driver.xhtml#a0f38fa92b2468d5378258a2b074c1a31">Half</a> = half_float::half</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_converter_8cpp_source.xhtml#l00014">14</a> of file <a class="el" href="_converter_8cpp_source.xhtml">Converter.cpp</a>.</p> + +</div> +</div> +<a id="a923b39ec5f83672f50289cbaf5de6798"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a923b39ec5f83672f50289cbaf5de6798">◆ </a></span>Model</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">using <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> = ::android::nn::Model</td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Helper classes. </p> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00043">43</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> + +</div> +</div> +<a id="aa9b4bc8d4cfb04be14771dbb1bc1a1ac"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">◆ </a></span>Operand</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">using <a class="el" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> = ::android::nn::Operand</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00044">44</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> + +</div> +</div> +<a id="a275cd95635b854a80bb33f171d861ddc"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a275cd95635b854a80bb33f171d861ddc">◆ </a></span>OperandLifeTime</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">using <a class="el" href="namespacearmnn__driver.xhtml#a275cd95635b854a80bb33f171d861ddc">OperandLifeTime</a> = ::android::nn::Operand::LifeTime</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00045">45</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> + +</div> +</div> +<a id="a53bfb6eb38a90244ba166b641a6965d9"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a53bfb6eb38a90244ba166b641a6965d9">◆ </a></span>OperandType</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">using <a class="el" href="namespacearmnn__driver.xhtml#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a> = ::android::nn::OperandType</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00046">46</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> + +</div> +</div> +<a id="ad3a9c1424b37970a54624f514196b985"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad3a9c1424b37970a54624f514196b985">◆ </a></span>Operation</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">using <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> = ::android::nn::Operation</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00047">47</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> + +</div> +</div> +<a id="ace6b45d6363c32d1b93b7fce14bf6344"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ace6b45d6363c32d1b93b7fce14bf6344">◆ </a></span>OperationType</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">using <a class="el" href="namespacearmnn__driver.xhtml#ace6b45d6363c32d1b93b7fce14bf6344">OperationType</a> = ::android::nn::OperationType</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00048">48</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> + +</div> +</div> +<h2 class="groupheader">Enumeration Type Documentation</h2> +<a id="afa2a6d5a1431289c92cea9cceeb174c9"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afa2a6d5a1431289c92cea9cceeb174c9">◆ </a></span>ConversionResult</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">enum <a class="el" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9">ConversionResult</a></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">strong</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> +<table class="fieldtable"> +<tr><th colspan="2">Enumerator</th></tr><tr><td class="fieldname"><a id="afa2a6d5a1431289c92cea9cceeb174c9a505a83f220c02df2f85c3810cd9ceb38"></a>Success </td><td class="fielddoc"></td></tr> +<tr><td class="fieldname"><a id="afa2a6d5a1431289c92cea9cceeb174c9ab7d6155514def6898ba4432a82efd28b"></a>ErrorMappingPools </td><td class="fielddoc"></td></tr> +<tr><td class="fieldname"><a id="afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527"></a>UnsupportedFeature </td><td class="fielddoc"></td></tr> +</table> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00125">125</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> {</div> +<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Success</a>,</div> +<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <a class="code" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9ab7d6155514def6898ba4432a82efd28b">ErrorMappingPools</a>,</div> +<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527">UnsupportedFeature</a></div> +<div class="line"><a name="l00130"></a><span class="lineno"> 130</span> };</div> +</div><!-- fragment --> +</div> +</div> +<a id="a10c64daf22426af432d0a9ada03eee5c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a10c64daf22426af432d0a9ada03eee5c">◆ </a></span>DequantizeStatus</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">enum <a class="el" href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5c">DequantizeStatus</a></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">strong</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> +<table class="fieldtable"> +<tr><th colspan="2">Enumerator</th></tr><tr><td class="fieldname"><a id="a10c64daf22426af432d0a9ada03eee5cad0749aaba8b833466dfcbb0428e4f89c"></a>SUCCESS </td><td class="fielddoc"></td></tr> +<tr><td class="fieldname"><a id="a10c64daf22426af432d0a9ada03eee5caaf655f85da1fc9b6a348b9893ee6aef7"></a>NOT_REQUIRED </td><td class="fielddoc"></td></tr> +<tr><td class="fieldname"><a id="a10c64daf22426af432d0a9ada03eee5ca6bf179afa8f7fba18cf39bc0ca6fe043"></a>INVALID_OPERAND </td><td class="fielddoc"></td></tr> +</table> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l01007">1007</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span> {</div> +<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  <a class="code" href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5cad0749aaba8b833466dfcbb0428e4f89c">SUCCESS</a>,</div> +<div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  <a class="code" href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5caaf655f85da1fc9b6a348b9893ee6aef7">NOT_REQUIRED</a>,</div> +<div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  <a class="code" href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5ca6bf179afa8f7fba18cf39bc0ca6fe043">INVALID_OPERAND</a></div> +<div class="line"><a name="l01012"></a><span class="lineno"> 1012</span> };</div> +</div><!-- fragment --> +</div> +</div> +<h2 class="groupheader">Function Documentation</h2> +<a id="a85d53debffd9611a3b5bc6031afd5073"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a85d53debffd9611a3b5bc6031afd5073">◆ </a></span>AreDynamicTensorsSupported()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool AreDynamicTensorsSupported </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Checks for ArmNN support of dynamic tensors. </p> + +<p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00500">500</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> {</div> +<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l00503"></a><span class="lineno"> 503</span> }</div> +</div><!-- fragment --> +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00380">ConvertPooling2d()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00508">ConvertReduce()</a>, and <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00592">ConvertToActivation()</a>.</p> + +</div> +</div> +<a id="a7c1c80ee0f432b6b621c40571410195a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7c1c80ee0f432b6b621c40571410195a">◆ </a></span>CommitPools()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">void CommitPools </td> + <td>(</td> + <td class="paramtype">std::vector<::android::nn::RunTimePoolInfo > & </td> + <td class="paramname"><em>memPools</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00610">610</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00611"></a><span class="lineno"> 611</span> {</div> +<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <span class="comment">// Commit output buffers.</span></div> +<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="comment">// Note that we update *all* pools, even if they aren't actually used as outputs -</span></div> +<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <span class="comment">// this is simpler and is what the CpuExecutor does.</span></div> +<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>& pool : memPools)</div> +<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  {</div> +<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <span class="comment">// Type android::nn::RunTimePoolInfo has changed between Android P & Q and Android R, where</span></div> +<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="comment">// update() has been removed and flush() added.</span></div> +<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  pool.flush();</div> +<div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  }</div> +<div class="line"><a name="l00621"></a><span class="lineno"> 621</span> }</div> +</div><!-- fragment --> +<p class="reference">Referenced by <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00374">ArmnnPreparedModel::ExecuteGraph()</a>.</p> + +</div> +</div> +<a id="a93d7282d7b5701a723304d87fcdc3a43"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a93d7282d7b5701a723304d87fcdc3a43">◆ </a></span>ComputeShape()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">OutputShape armnn_driver::ComputeShape </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & </td> + <td class="paramname"><em>info</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="_canonical_utils_8hpp_source.xhtml#l00095">95</a> of file <a class="el" href="_canonical_utils_8hpp_source.xhtml">CanonicalUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> {</div> +<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  OutputShape shape;</div> +<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  </div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> tensorShape = <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetShape();</div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="comment">// Android will expect scalars as a zero dimensional tensor</span></div> +<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">if</span>(tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a>() == <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a>)</div> +<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  {</div> +<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  shape.dimensions = std::vector<uint32_t>{};</div> +<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  }</div> +<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  {</div> +<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  std::vector<uint32_t> dimensions;</div> +<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDims = tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div> +<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  dimensions.resize(numDims);</div> +<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputIdx = 0u; outputIdx < numDims; ++outputIdx)</div> +<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  {</div> +<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  dimensions[outputIdx] = tensorShape[outputIdx];</div> +<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  }</div> +<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  shape.dimensions = dimensions;</div> +<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  }</div> +<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  </div> +<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  shape.isSufficient = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  </div> +<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">return</span> shape;</div> +<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_tensor_8hpp_source.xhtml#l00092">TensorShape::GetDimensionality()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00174">TensorShape::GetNumDimensions()</a>, and <a class="el" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Scalar</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00294">ArmnnPreparedModel::execute()</a>.</p> + +</div> +</div> +<a id="a82e85436d5f7cbfa90e8ab521bddae31"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a82e85436d5f7cbfa90e8ab521bddae31">◆ </a></span>ConvertOperandToConstTensorPin()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn__driver_1_1_const_tensor_pin.xhtml">ConstTensorPin</a> ConvertOperandToConstTensorPin </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> & </td> + <td class="paramname"><em>operand</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> & </td> + <td class="paramname"><em>dimensionMappings</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> * </td> + <td class="paramname"><em>overrideTensorShape</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">bool </td> + <td class="paramname"><em>optional</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> * </td> + <td class="paramname"><em>overrideDataType</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="_conversion_utils_8cpp_source.xhtml#l00154">154</a> of file <a class="el" href="_conversion_utils_8cpp_source.xhtml">ConversionUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> {</div> +<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">if</span> (!IsOperandTypeSupportedForTensors(operand.type))</div> +<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  {</div> +<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  VLOG(DRIVER) << __func__ << <span class="stringliteral">": unsupported operand type for tensor"</span> << operand.type;</div> +<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_const_tensor_pin.xhtml">ConstTensorPin</a>();</div> +<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  }</div> +<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  </div> +<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordflow">if</span> (!optional && !<a class="code" href="namespacearmnn__driver.xhtml#a9ddfceb499ef7b3d01053399bc79b852">IsOperandConstant</a>(operand))</div> +<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  {</div> +<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  VLOG(DRIVER) << __func__ << <span class="stringliteral">": lifetime for input tensor: r"</span> << operand.lifetime;</div> +<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_const_tensor_pin.xhtml">ConstTensorPin</a>();</div> +<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  }</div> +<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  </div> +<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">const</span> <span class="keywordtype">void</span>* <span class="keyword">const</span> valueStart = <a class="code" href="namespacearmnn__driver.xhtml#a8d20245b5ca3cbb0b132064ab44f2682">GetOperandValueReadOnlyAddress</a>(operand, model, data, optional);</div> +<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">if</span> (!valueStart)</div> +<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  {</div> +<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordflow">if</span> (optional)</div> +<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  {</div> +<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="comment">// optional tensor with no values is not really an error; return it as invalid, but marked as optional</span></div> +<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_const_tensor_pin.xhtml">ConstTensorPin</a>(<span class="keyword">true</span>);</div> +<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  }</div> +<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="comment">// mandatory tensor with no values</span></div> +<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  Fail(<span class="stringliteral">"%s: failed to get operand address"</span>, __func__);</div> +<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_const_tensor_pin.xhtml">ConstTensorPin</a>();</div> +<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  }</div> +<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  </div> +<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> tensorInfo = <a class="code" href="namespacearmnn__driver.xhtml#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(operand);</div> +<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  </div> +<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">if</span> (overrideTensorShape)</div> +<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  {</div> +<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">SetShape</a>(*overrideTensorShape);</div> +<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  }</div> +<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  </div> +<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordflow">if</span> (overrideDataType)</div> +<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  {</div> +<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(*overrideDataType);</div> +<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  }</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>  <span class="comment">// Make sure isConstant flag is set.</span></div> +<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8ffca1e21bdfa7f945617acd606aac91">SetConstant</a>();</div> +<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_const_tensor_pin.xhtml">ConstTensorPin</a>(tensorInfo, valueStart, operand.location.length, dimensionMappings);</div> +<div class="line"><a name="l00202"></a><span class="lineno"> 202</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00777">GetOperandValueReadOnlyAddress()</a>, <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00097">GetTensorInfoForOperand()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00698">IsOperandConstant()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00514">TensorInfo::SetConstant()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00199">TensorInfo::SetDataType()</a>, and <a class="el" href="_tensor_8hpp_source.xhtml#l00193">TensorInfo::SetShape()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00718">ConvertOperationInputToConstTensorPin()</a>, and <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00204">ConvertToLayerInputHandle()</a>.</p> + +</div> +</div> +<a id="a8c749c18e62c59a5c1254aac342c995a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8c749c18e62c59a5c1254aac342c995a">◆ </a></span>ConvertOperationInputToConstTensorPin()</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__driver_1_1_const_tensor_pin.xhtml">ConstTensorPin</a> armnn_driver::ConvertOperationInputToConstTensorPin </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>inputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> & </td> + <td class="paramname"><em>dimensionMappings</em> = <code><a class="el" href="namespacearmnn__driver.xhtml#ae059aea66ee0867a204aa2f2d9abb42c">g_DontPermute</a></code>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> * </td> + <td class="paramname"><em>overrideTensorShape</em> = <code>nullptr</code>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">bool </td> + <td class="paramname"><em>optional</em> = <code>false</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">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00718">718</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00726"></a><span class="lineno"> 726</span> {</div> +<div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* operand = <a class="code" href="namespacearmnn__driver.xhtml#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, inputIndex, model);</div> +<div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  <span class="keywordflow">if</span> (!operand)</div> +<div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  {</div> +<div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  Fail(<span class="stringliteral">"%s: failed to get input operand: index=%u"</span>, __func__, inputIndex);</div> +<div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_const_tensor_pin.xhtml">ConstTensorPin</a>();</div> +<div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  }</div> +<div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.xhtml#a82e85436d5f7cbfa90e8ab521bddae31">ConvertOperandToConstTensorPin</a>(*operand,</div> +<div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  model,</div> +<div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  data,</div> +<div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  dimensionMappings,</div> +<div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  overrideTensorShape,</div> +<div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  optional);</div> +<div class="line"><a name="l00739"></a><span class="lineno"> 739</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00154">ConvertOperandToConstTensorPin()</a>, and <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00643">GetInputOperand()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00731">DequantizeAndMakeConstTensorPin()</a>.</p> + +</div> +</div> +<a id="a8d4f662a4fb5b9272724bdaeacbd370a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8d4f662a4fb5b9272724bdaeacbd370a">◆ </a></span>ConvertPaddings()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool ConvertPaddings </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>rank</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="structarmnn_1_1_pad_descriptor.xhtml">armnn::PadDescriptor</a> & </td> + <td class="paramname"><em>padDescriptor</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="_conversion_utils_8cpp_source.xhtml#l00338">338</a> of file <a class="el" href="_conversion_utils_8cpp_source.xhtml">ConversionUtils.cpp</a>.</p> +<div class="fragment"><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="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* paddingsOperand = <a class="code" href="namespacearmnn__driver.xhtml#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, 1, model);</div> +<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordflow">if</span> (!paddingsOperand)</div> +<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  {</div> +<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: Could not read paddings operand"</span>, __func__);</div> +<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  }</div> +<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  </div> +<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> paddingsOperandShape = GetTensorShapeForOperand(*paddingsOperand);</div> +<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keywordflow">if</span> (paddingsOperandShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() != 2 || paddingsOperandShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() != rank * 2)</div> +<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>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: Operation has invalid paddings operand: expected shape [%d, 2]"</span>, __func__, rank);</div> +<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  }</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>  std::vector<int32_t> paddings;</div> +<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn__driver.xhtml#ac8643aaee3eafc54336c5462b51bd53f">GetTensorInt32Values</a>(*paddingsOperand, paddings, model, data))</div> +<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  {</div> +<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: Operation has invalid or unsupported paddings operand"</span>, __func__);</div> +<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  }</div> +<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  </div> +<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="comment">// add padding for each dimension of input tensor.</span></div> +<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < paddings.size() - 1; i += 2)</div> +<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  {</div> +<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keywordtype">int</span> paddingBeforeInput = paddings[i];</div> +<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordtype">int</span> paddingAfterInput = paddings[i + 1];</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>  <span class="keywordflow">if</span> (paddingBeforeInput < 0 || paddingAfterInput < 0)</div> +<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  {</div> +<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: Operation has invalid paddings operand, invalid padding values."</span>, __func__);</div> +<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  }</div> +<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>  padDescriptor.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>.emplace_back((<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>) paddingBeforeInput, (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>) paddingAfterInput);</div> +<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  }</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="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l00377"></a><span class="lineno"> 377</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00643">GetInputOperand()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00174">TensorShape::GetNumDimensions()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00181">TensorShape::GetNumElements()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00822">GetTensorInt32Values()</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l01185">PadDescriptor::m_PadList</a>.</p> + +</div> +</div> +<a id="a2eb75cb48464cf87c290503d7bea79a4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a2eb75cb48464cf87c290503d7bea79a4">◆ </a></span>ConvertPooling2d()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool ConvertPooling2d </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const char * </td> + <td class="paramname"><em>operationName</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718">armnn::PoolingAlgorithm</a> </td> + <td class="paramname"><em>poolType</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</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="_conversion_utils_8cpp_source.xhtml#l00380">380</a> of file <a class="el" href="_conversion_utils_8cpp_source.xhtml">ConversionUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> {</div> +<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  </div> +<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  VLOG(DRIVER) << <span class="stringliteral">"Converter::ConvertL2Pool2d()"</span>;</div> +<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  </div> +<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml">LayerInputHandle</a> input = <a class="code" href="namespacearmnn__driver.xhtml#a1f6b85ab26d684241babcde2d659116b">ConvertToLayerInputHandle</a>(operation, 0, model, data);</div> +<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="keywordflow">if</span> (!input.<a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml#ac532c4b500b1a85ea22217f2c65a70ed">IsValid</a>())</div> +<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  {</div> +<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: Operation Could not read input 0"</span>, operationName);</div> +<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  }</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="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* output = <a class="code" href="namespacearmnn__driver.xhtml#a5890dee5ebd8c09d4b3787136d8170d8">GetOutputOperand</a>(operation, 0, model);</div> +<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keywordflow">if</span> (!output)</div> +<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  {</div> +<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: Could not read output 0"</span>, __func__);</div> +<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>  </div> +<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& inputInfo = input.<a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml#acbafd23115b06f0a82eab45bd1e3cff9">GetTensorInfo</a>();</div> +<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& outputInfo = <a class="code" href="namespacearmnn__driver.xhtml#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(*output);</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>  <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a> desc;</div> +<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">m_PoolType</a> = poolType;</div> +<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">m_OutputShapeRounding</a> = <a class="code" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">armnn::OutputShapeRounding::Floor</a>;</div> +<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>;</div> +<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  </div> +<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  ActivationFn activation;</div> +<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  </div> +<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keyword">auto</span> inputSize = operation.inputs.size();</div> +<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  </div> +<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keywordflow">if</span> (inputSize >= 10)</div> +<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  {</div> +<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="comment">// one input, 9 parameters (padding l r t b, stridex, stridey, width, height, activation type)</span></div> +<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 1, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>, model, data) ||</div> +<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  !<a class="code" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 2, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>, model, data) ||</div> +<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  !<a class="code" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 3, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>, model, data) ||</div> +<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  !<a class="code" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 4, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>, model, data) ||</div> +<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  !<a class="code" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 5, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>, model, data) ||</div> +<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  !<a class="code" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 6, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>, model, data) ||</div> +<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  !<a class="code" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 7, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a>, model, data) ||</div> +<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  !<a class="code" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 8, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a>, model, data) ||</div> +<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  !<a class="code" href="namespacearmnn__driver.xhtml#ac092fff5c81f7938eea9a2479f014c66">GetInputActivationFunction</a>(operation, 9, activation, model, data))</div> +<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  {</div> +<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: Operation has invalid inputs"</span>, operationName);</div> +<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  }</div> +<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  </div> +<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">if</span> (Is12OrLaterOperand(*output))</div> +<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  {</div> +<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = <a class="code" href="namespacearmnn__driver.xhtml#a3f3a756df9dee4b33566cddd786b83c9">OptionalDataLayout</a>(operation, 10, model, data);</div> +<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  }</div> +<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  }</div> +<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  {</div> +<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="comment">// one input, 6 parameters (padding, stridex, stridey, width, height, activation type)</span></div> +<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  ::android::nn::PaddingScheme scheme;</div> +<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn__driver.xhtml#aa9ef723ace8562b9636e8387a120fbde">GetInputPaddingScheme</a>(operation, 1, scheme, model, data) ||</div> +<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  !<a class="code" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 2, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>, model, data) ||</div> +<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  !<a class="code" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 3, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>, model, data) ||</div> +<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  !<a class="code" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 4, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a>, model, data) ||</div> +<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  !<a class="code" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 5, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a>, model, data) ||</div> +<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  !<a class="code" href="namespacearmnn__driver.xhtml#ac092fff5c81f7938eea9a2479f014c66">GetInputActivationFunction</a>(operation, 6, activation, model, data))</div> +<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  {</div> +<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: Operation has invalid inputs"</span>, operationName);</div> +<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  }</div> +<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  </div> +<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordflow">if</span> (Is12OrLaterOperand(*output))</div> +<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  {</div> +<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = <a class="code" href="namespacearmnn__driver.xhtml#a3f3a756df9dee4b33566cddd786b83c9">OptionalDataLayout</a>(operation, 7, model, data);</div> +<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  }</div> +<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  </div> +<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml">armnnUtils::DataLayoutIndexed</a> dataLayout(desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div> +<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[dataLayout.GetWidthIndex()];</div> +<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[dataLayout.GetHeightIndex()];</div> +<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  </div> +<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  CalcPadding(inputWidth, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a>, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>, scheme);</div> +<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  CalcPadding(inputHeight, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a>, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>, scheme);</div> +<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  }</div> +<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  </div> +<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keywordtype">bool</span> isSupported = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <a class="code" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a> setBackend;</div> +<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keyword">auto</span> validateFunc = [&](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& outputInfo, <span class="keywordtype">bool</span>& isSupported)</div> +<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  {</div> +<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <a class="code" href="_conversion_utils_8hpp.xhtml#a00e2c074a81ec0d41495ed9287dcc542">FORWARD_LAYER_SUPPORT_FUNC</a>(__func__,</div> +<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <a class="code" href="namespacearmnn.xhtml#af4f2d40a67380e91bd7ed0c1bcc4658f">IsPooling2dSupported</a>,</div> +<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#af3239731a47cf4c08a040c42ee855edc">m_Backends</a>,</div> +<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  isSupported,</div> +<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  setBackend,</div> +<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  inputInfo,</div> +<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  outputInfo,</div> +<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  desc);</div> +<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  </div> +<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  };</div> +<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  </div> +<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearmnn__driver.xhtml#a208149d5c08f84debf8b265bb508fe02">IsDynamicTensor</a>(outputInfo))</div> +<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  {</div> +<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  isSupported = <a class="code" href="namespacearmnn__driver.xhtml#a85d53debffd9611a3b5bc6031afd5073">AreDynamicTensorsSupported</a>();</div> +<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  }</div> +<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  {</div> +<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  validateFunc(outputInfo, isSupported);</div> +<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  }</div> +<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  </div> +<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordflow">if</span> (!isSupported)</div> +<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  {</div> +<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  }</div> +<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  </div> +<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* pooling2dLayer = data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a>->AddPooling2dLayer(desc);</div> +<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  pooling2dLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a99cc75f524d831824c5f3730a88e9ca3">SetBackendId</a>(setBackend);</div> +<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">if</span> (!pooling2dLayer)</div> +<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  {</div> +<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: AddPooling2dLayer failed"</span>, __func__);</div> +<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  }</div> +<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  </div> +<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  input.<a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml#a9b63bdf08709bc5302b3c1a9198d06a3">Connect</a>(pooling2dLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div> +<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  </div> +<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keywordflow">if</span> (!isSupported)</div> +<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  {</div> +<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  }</div> +<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  </div> +<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.xhtml#a5378da53b59c1c826e6320383ca0257e">SetupAndTrackLayerOutputSlot</a>(operation, 0, *pooling2dLayer, model,</div> +<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  data, <span class="keyword">nullptr</span>, validateFunc, activation);</div> +<div class="line"><a name="l00506"></a><span class="lineno"> 506</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00500">AreDynamicTensorsSupported()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00032">LayerInputHandle::Connect()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00204">ConvertToLayerInputHandle()</a>, <a class="el" href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">armnn::Floor</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00153">FORWARD_LAYER_SUPPORT_FUNC</a>, <a class="el" href="_data_layout_indexed_8hpp_source.xhtml#l00024">DataLayoutIndexed::GetHeightIndex()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00823">GetInputActivationFunction()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00761">GetInputPaddingScheme()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00742">GetInputScalar()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00662">GetOutputOperand()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00191">TensorInfo::GetShape()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00050">LayerInputHandle::GetTensorInfo()</a>, <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00097">GetTensorInfoForOperand()</a>, <a class="el" href="_data_layout_indexed_8hpp_source.xhtml#l00025">DataLayoutIndexed::GetWidthIndex()</a>, <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00486">IsDynamicTensor()</a>, <a class="el" href="namespacearmnn.xhtml#af4f2d40a67380e91bd7ed0c1bcc4658f">armnn::IsPooling2dSupported()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00027">LayerInputHandle::IsValid()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00059">ConversionData::m_Backends</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00415">Pooling2dDescriptor::m_DataLayout</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00060">ConversionData::m_Network</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00411">Pooling2dDescriptor::m_OutputShapeRounding</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00401">Pooling2dDescriptor::m_PadBottom</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00395">Pooling2dDescriptor::m_PadLeft</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00397">Pooling2dDescriptor::m_PadRight</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00399">Pooling2dDescriptor::m_PadTop</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00405">Pooling2dDescriptor::m_PoolHeight</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00393">Pooling2dDescriptor::m_PoolType</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00403">Pooling2dDescriptor::m_PoolWidth</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00407">Pooling2dDescriptor::m_StrideX</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00409">Pooling2dDescriptor::m_StrideY</a>, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00853">OptionalDataLayout()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a99cc75f524d831824c5f3730a88e9ca3">IConnectableLayer::SetBackendId()</a>, and <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00963">SetupAndTrackLayerOutputSlot()</a>.</p> + +</div> +</div> +<a id="a3f6b313fd199d1552844f3f95fd25cd2"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3f6b313fd199d1552844f3f95fd25cd2">◆ </a></span>ConvertReduce()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool ConvertReduce </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0">armnn::ReduceOperation</a> </td> + <td class="paramname"><em>reduceOperation</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="_conversion_utils_8cpp_source.xhtml#l00508">508</a> of file <a class="el" href="_conversion_utils_8cpp_source.xhtml">ConversionUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00512"></a><span class="lineno"> 512</span> {</div> +<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml">armnn::ReduceDescriptor</a> descriptor;</div> +<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  descriptor.<a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml#aa57c67b1da0011b1abb30170146e870f">m_ReduceOperation</a> = reduceOperation;</div> +<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  </div> +<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml">LayerInputHandle</a> input = <a class="code" href="namespacearmnn__driver.xhtml#a1f6b85ab26d684241babcde2d659116b">ConvertToLayerInputHandle</a>(operation, 0, model, data);</div> +<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordflow">if</span> (!input.<a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml#ac532c4b500b1a85ea22217f2c65a70ed">IsValid</a>())</div> +<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  {</div> +<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: Operation has invalid inputs"</span>, __func__);</div> +<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  }</div> +<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& inputInfo = input.<a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml#acbafd23115b06f0a82eab45bd1e3cff9">GetTensorInfo</a>();</div> +<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  </div> +<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* output = <a class="code" href="namespacearmnn__driver.xhtml#a5890dee5ebd8c09d4b3787136d8170d8">GetOutputOperand</a>(operation, 0, model);</div> +<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keywordflow">if</span> (!output)</div> +<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  {</div> +<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: Could not read output 0"</span>, __func__);</div> +<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  }</div> +<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& outputInfo = <a class="code" href="namespacearmnn__driver.xhtml#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(*output);</div> +<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  </div> +<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* axisOperand = <a class="code" href="namespacearmnn__driver.xhtml#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, 1, model);</div> +<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  <span class="keywordflow">if</span> (!axisOperand)</div> +<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  {</div> +<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: Could not read input 1"</span>, __func__);</div> +<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  }</div> +<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  std::vector<int32_t> axis;</div> +<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn__driver.xhtml#ac8643aaee3eafc54336c5462b51bd53f">GetTensorInt32Values</a>(*axisOperand, axis, model, data))</div> +<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  {</div> +<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: Input 1 has invalid values"</span>, __func__);</div> +<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  }</div> +<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  </div> +<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <span class="comment">// Convert the axis to unsigned int and remove duplicates.</span></div> +<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> rank = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div> +<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  std::set<unsigned int> uniqueAxis;</div> +<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  std::transform(axis.begin(), axis.end(),</div> +<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  std::inserter(uniqueAxis, uniqueAxis.begin()),</div> +<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  [rank](<span class="keywordtype">int</span> i) -> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> { return (i + rank) % rank; });</div> +<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  descriptor.<a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.assign(uniqueAxis.begin(), uniqueAxis.end());</div> +<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  </div> +<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="comment">// Get the "keep dims" flag.</span></div> +<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 2, OperandType::BOOL, descriptor.<a class="code" href="structarmnn_1_1_reduce_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>, model, data))</div> +<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  {</div> +<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: Could not read input 2"</span>, __func__);</div> +<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  }</div> +<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  </div> +<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <span class="keywordtype">bool</span> isSupported = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <a class="code" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a> setBackend;</div> +<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="keyword">auto</span> validateFunc = [&](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& outputInfo, <span class="keywordtype">bool</span>& isSupported)</div> +<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  {</div> +<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <a class="code" href="_conversion_utils_8hpp.xhtml#a00e2c074a81ec0d41495ed9287dcc542">FORWARD_LAYER_SUPPORT_FUNC</a>(__func__,</div> +<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <a class="code" href="namespacearmnn.xhtml#aefa2e47c23dc8faac4b7edb12b5d1c2c">IsReduceSupported</a>,</div> +<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#af3239731a47cf4c08a040c42ee855edc">m_Backends</a>,</div> +<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  isSupported,</div> +<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  setBackend,</div> +<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  inputInfo,</div> +<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  outputInfo,</div> +<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  descriptor);</div> +<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  };</div> +<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  </div> +<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="keywordflow">if</span>(!<a class="code" href="namespacearmnn__driver.xhtml#a208149d5c08f84debf8b265bb508fe02">IsDynamicTensor</a>(outputInfo))</div> +<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  {</div> +<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  validateFunc(outputInfo, isSupported);</div> +<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  }</div> +<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  {</div> +<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  isSupported = <a class="code" href="namespacearmnn__driver.xhtml#a85d53debffd9611a3b5bc6031afd5073">AreDynamicTensorsSupported</a>();</div> +<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  }</div> +<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  </div> +<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <span class="keywordflow">if</span> (!isSupported)</div> +<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  {</div> +<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  }</div> +<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  </div> +<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> layer = data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a>->AddReduceLayer(descriptor);</div> +<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a99cc75f524d831824c5f3730a88e9ca3">SetBackendId</a>(setBackend);</div> +<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  assert(layer != <span class="keyword">nullptr</span>);</div> +<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  input.<a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml#a9b63bdf08709bc5302b3c1a9198d06a3">Connect</a>(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div> +<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  </div> +<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.xhtml#a5378da53b59c1c826e6320383ca0257e">SetupAndTrackLayerOutputSlot</a>(operation, 0, *layer, model, data, <span class="keyword">nullptr</span>, validateFunc);</div> +<div class="line"><a name="l00589"></a><span class="lineno"> 589</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00500">AreDynamicTensorsSupported()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00032">LayerInputHandle::Connect()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00204">ConvertToLayerInputHandle()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00153">FORWARD_LAYER_SUPPORT_FUNC</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00643">GetInputOperand()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00742">GetInputScalar()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00195">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00662">GetOutputOperand()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00050">LayerInputHandle::GetTensorInfo()</a>, <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00097">GetTensorInfoForOperand()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00822">GetTensorInt32Values()</a>, <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00486">IsDynamicTensor()</a>, <a class="el" href="namespacearmnn.xhtml#aefa2e47c23dc8faac4b7edb12b5d1c2c">armnn::IsReduceSupported()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00027">LayerInputHandle::IsValid()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00059">ConversionData::m_Backends</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01521">ReduceDescriptor::m_KeepDims</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00060">ConversionData::m_Network</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01525">ReduceDescriptor::m_ReduceOperation</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01523">ReduceDescriptor::m_vAxis</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a99cc75f524d831824c5f3730a88e9ca3">IConnectableLayer::SetBackendId()</a>, and <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00963">SetupAndTrackLayerOutputSlot()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_converter_8cpp_source.xhtml#l00021">Converter::ConvertOperation()</a>.</p> + +</div> +</div> +<a id="a28243ca97e12ccb50e01f03d313ecc86"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a28243ca97e12ccb50e01f03d313ecc86">◆ </a></span>ConvertToActivation()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool ConvertToActivation </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const char * </td> + <td class="paramname"><em>operationName</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a> & </td> + <td class="paramname"><em>activationDesc</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</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="_conversion_utils_8cpp_source.xhtml#l00592">592</a> of file <a class="el" href="_conversion_utils_8cpp_source.xhtml">ConversionUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00597"></a><span class="lineno"> 597</span> {</div> +<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml">LayerInputHandle</a> input = <a class="code" href="namespacearmnn__driver.xhtml#a1f6b85ab26d684241babcde2d659116b">ConvertToLayerInputHandle</a>(operation, 0, model, data);</div> +<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <span class="keywordflow">if</span> (!input.<a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml#ac532c4b500b1a85ea22217f2c65a70ed">IsValid</a>())</div> +<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  {</div> +<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: Input 0 is invalid"</span>, operationName);</div> +<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  }</div> +<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  </div> +<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* outputOperand = <a class="code" href="namespacearmnn__driver.xhtml#a5890dee5ebd8c09d4b3787136d8170d8">GetOutputOperand</a>(operation, 0, model);</div> +<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  <span class="keywordflow">if</span> (!outputOperand)</div> +<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  {</div> +<div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  }</div> +<div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  </div> +<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& outInfo = <a class="code" href="namespacearmnn__driver.xhtml#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(*outputOperand);</div> +<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  </div> +<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <span class="keywordtype">bool</span> isSupported = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <a class="code" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a> setBackend;</div> +<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <span class="keyword">auto</span> validateFunc = [&](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& outInfo, <span class="keywordtype">bool</span>& isSupported)</div> +<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  {</div> +<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <a class="code" href="_conversion_utils_8hpp.xhtml#a00e2c074a81ec0d41495ed9287dcc542">FORWARD_LAYER_SUPPORT_FUNC</a>(__func__,</div> +<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <a class="code" href="namespacearmnn.xhtml#a6e7dc8639c4b2f0a93031afff5182735">IsActivationSupported</a>,</div> +<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#af3239731a47cf4c08a040c42ee855edc">m_Backends</a>,</div> +<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  isSupported,</div> +<div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  setBackend,</div> +<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  input.<a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml#acbafd23115b06f0a82eab45bd1e3cff9">GetTensorInfo</a>(),</div> +<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  outInfo,</div> +<div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  activationDesc);</div> +<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  };</div> +<div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  </div> +<div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearmnn__driver.xhtml#a208149d5c08f84debf8b265bb508fe02">IsDynamicTensor</a>(outInfo))</div> +<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  {</div> +<div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  isSupported = <a class="code" href="namespacearmnn__driver.xhtml#a85d53debffd9611a3b5bc6031afd5073">AreDynamicTensorsSupported</a>();</div> +<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  }</div> +<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  {</div> +<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  validateFunc(outInfo, isSupported);</div> +<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  }</div> +<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  </div> +<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <span class="keywordflow">if</span> (!isSupported)</div> +<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  {</div> +<div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  }</div> +<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  </div> +<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer = data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a>->AddActivationLayer(activationDesc);</div> +<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a99cc75f524d831824c5f3730a88e9ca3">SetBackendId</a>(setBackend);</div> +<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(layer != <span class="keyword">nullptr</span>);</div> +<div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  input.<a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml#a9b63bdf08709bc5302b3c1a9198d06a3">Connect</a>(layer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div> +<div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  </div> +<div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.xhtml#a5378da53b59c1c826e6320383ca0257e">SetupAndTrackLayerOutputSlot</a>(operation, 0, *layer, model, data, <span class="keyword">nullptr</span>, validateFunc);</div> +<div class="line"><a name="l00646"></a><span class="lineno"> 646</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00500">AreDynamicTensorsSupported()</a>, <a class="el" href="_assert_8hpp_source.xhtml#l00014">ARMNN_ASSERT</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00032">LayerInputHandle::Connect()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00204">ConvertToLayerInputHandle()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00153">FORWARD_LAYER_SUPPORT_FUNC</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00662">GetOutputOperand()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00050">LayerInputHandle::GetTensorInfo()</a>, <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00097">GetTensorInfoForOperand()</a>, <a class="el" href="namespacearmnn.xhtml#a6e7dc8639c4b2f0a93031afff5182735">armnn::IsActivationSupported()</a>, <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00486">IsDynamicTensor()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00027">LayerInputHandle::IsValid()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00059">ConversionData::m_Backends</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00060">ConversionData::m_Network</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a99cc75f524d831824c5f3730a88e9ca3">IConnectableLayer::SetBackendId()</a>, and <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00963">SetupAndTrackLayerOutputSlot()</a>.</p> + +</div> +</div> +<a id="a1f6b85ab26d684241babcde2d659116b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1f6b85ab26d684241babcde2d659116b">◆ </a></span>ConvertToLayerInputHandle()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn__driver_1_1_layer_input_handle.xhtml">LayerInputHandle</a> ConvertToLayerInputHandle </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>inputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> & </td> + <td class="paramname"><em>dimensionMappings</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn__driver_1_1_layer_input_handle.xhtml">LayerInputHandle</a> * </td> + <td class="paramname"><em>inputHandle</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="_conversion_utils_8cpp_source.xhtml#l00204">204</a> of file <a class="el" href="_conversion_utils_8cpp_source.xhtml">ConversionUtils.cpp</a>.</p> +<div class="fragment"><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="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* operand = <a class="code" href="namespacearmnn__driver.xhtml#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, inputIndex, model);</div> +<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordflow">if</span> (!operand)</div> +<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  {</div> +<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  Fail(<span class="stringliteral">"%s: failed to get input operand %i"</span>, __func__, inputIndex);</div> +<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml">LayerInputHandle</a>();</div> +<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>  </div> +<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordflow">if</span> (!IsOperandTypeSupportedForTensors(operand->type))</div> +<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  {</div> +<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  VLOG(DRIVER) << __func__ << <span class="stringliteral">": unsupported operand type for tensor: "</span> << operand->type;</div> +<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml">LayerInputHandle</a>();</div> +<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  }</div> +<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  </div> +<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">try</span></div> +<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  {</div> +<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> operandTensorInfo = <a class="code" href="namespacearmnn__driver.xhtml#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(*operand);</div> +<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  </div> +<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn__driver.xhtml#a208149d5c08f84debf8b265bb508fe02">IsDynamicTensor</a>(operandTensorInfo))</div> +<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  {</div> +<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a094e06eb84b3b80533c0f961f0f472de">m_DynamicInputsEncountered</a> = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  </div> +<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keyword">const</span> uint32_t operandIndex = operation.inputs[inputIndex];</div> +<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  </div> +<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="comment">// Check if the dynamic input tensors have been inferred by one of the previous layers</span></div> +<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="comment">// If not we can't support them</span></div> +<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">if</span> (data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a>.size() >= operandIndex && data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a>[operandIndex])</div> +<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  {</div> +<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  operandTensorInfo = data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a>[operandIndex]->GetTensorInfo();</div> +<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  }</div> +<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  {</div> +<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  Fail(<span class="stringliteral">"%s: Type 2 dynamic input tensors are not supported"</span>, __func__);</div> +<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml">LayerInputHandle</a>();</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>  </div> +<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordflow">switch</span> (operand->lifetime)</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>  <span class="keywordflow">case</span> OperandLifeTime::SUBGRAPH_INPUT:</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="comment">// NOTE: We must check whether we can support the input tensor on at least one</span></div> +<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="comment">// of the provided backends; otherwise we cannot convert the operation</span></div> +<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordtype">bool</span> isInputSupported = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <a class="code" href="_conversion_utils_8hpp.xhtml#a00e2c074a81ec0d41495ed9287dcc542">FORWARD_LAYER_SUPPORT_FUNC</a>(__func__,</div> +<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <a class="code" href="namespacearmnn.xhtml#a3512b2f24950886288c5d01df1488f15">IsInputSupported</a>,</div> +<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#af3239731a47cf4c08a040c42ee855edc">m_Backends</a>,</div> +<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  isInputSupported,</div> +<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <a class="code" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a>(),</div> +<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  operandTensorInfo);</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>  <span class="keywordflow">if</span> (!isInputSupported)</div> +<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  {</div> +<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  Fail(<span class="stringliteral">"%s: unsupported input tensor"</span>, __func__);</div> +<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml">LayerInputHandle</a>();</div> +<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  }</div> +<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  </div> +<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  [[clang::fallthrough]]; <span class="comment">// intentional fallthrough</span></div> +<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  }</div> +<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keywordflow">case</span> OperandLifeTime::TEMPORARY_VARIABLE: <span class="comment">// intentional fallthrough</span></div> +<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">case</span> OperandLifeTime::SUBGRAPH_OUTPUT:</div> +<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  {</div> +<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="comment">// The tensor is either an operand internal to the model, or a model input.</span></div> +<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="comment">// It can be associated with an ArmNN output slot for an existing layer.</span></div> +<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  </div> +<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="comment">// m_OutputSlotForOperand[...] can be nullptr if the previous layer could not be converted</span></div> +<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keyword">const</span> uint32_t operandIndex = operation.inputs[inputIndex];</div> +<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml">LayerInputHandle</a>(<span class="keyword">true</span>, data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a>[operandIndex], operandTensorInfo);</div> +<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  }</div> +<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">case</span> OperandLifeTime::CONSTANT_COPY: <span class="comment">// intentional fallthrough</span></div> +<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">case</span> OperandLifeTime::POINTER:</div> +<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordflow">case</span> OperandLifeTime::CONSTANT_REFERENCE:</div> +<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>  <span class="keyword">auto</span> constantTensorDataType = operandTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>();</div> +<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="comment">// The tensor has an already known constant value, and can be converted into an ArmNN Constant layer.</span></div> +<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <a class="code" href="classarmnn__driver_1_1_const_tensor_pin.xhtml">ConstTensorPin</a> tensorPin = <a class="code" href="namespacearmnn__driver.xhtml#a82e85436d5f7cbfa90e8ab521bddae31">ConvertOperandToConstTensorPin</a>(*operand,</div> +<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  model,</div> +<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  data,</div> +<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  dimensionMappings,</div> +<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keyword">nullptr</span>,</div> +<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keyword">false</span>,</div> +<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  &constantTensorDataType);</div> +<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">if</span> (tensorPin.<a class="code" href="classarmnn__driver_1_1_const_tensor_pin.xhtml#ac532c4b500b1a85ea22217f2c65a70ed">IsValid</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>  <span class="keywordtype">bool</span> isSupported = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <a class="code" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a> setBackend;</div> +<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <a class="code" href="_conversion_utils_8hpp.xhtml#a00e2c074a81ec0d41495ed9287dcc542">FORWARD_LAYER_SUPPORT_FUNC</a>(__func__,</div> +<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <a class="code" href="namespacearmnn.xhtml#a0d2ad1212c8773f36160ef6e5e7db61f">IsConstantSupported</a>,</div> +<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#af3239731a47cf4c08a040c42ee855edc">m_Backends</a>,</div> +<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  isSupported,</div> +<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  setBackend,</div> +<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  tensorPin.<a class="code" href="classarmnn__driver_1_1_const_tensor_pin.xhtml#a971023b9874b0d773e8aa4c6d6744a2b">GetConstTensor</a>().<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>());</div> +<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordflow">if</span> (!isSupported)</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">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml">LayerInputHandle</a>();</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>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* constantLayer =</div> +<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a>->AddConstantLayer(tensorPin.<a class="code" href="classarmnn__driver_1_1_const_tensor_pin.xhtml#a971023b9874b0d773e8aa4c6d6744a2b">GetConstTensor</a>());</div> +<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  constantLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a99cc75f524d831824c5f3730a88e9ca3">SetBackendId</a>(setBackend);</div> +<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>& outputSlot = constantLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0);</div> +<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> constantTensorInfo = tensorPin.<a class="code" href="classarmnn__driver_1_1_const_tensor_pin.xhtml#a971023b9874b0d773e8aa4c6d6744a2b">GetConstTensor</a>().<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>();</div> +<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(constantTensorInfo);</div> +<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  </div> +<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml">LayerInputHandle</a>(<span class="keyword">true</span>, &outputSlot, constantTensorInfo);</div> +<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  }</div> +<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  {</div> +<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  Fail(<span class="stringliteral">"%s: invalid operand tensor"</span>, __func__);</div> +<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml">LayerInputHandle</a>();</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>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  }</div> +<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordflow">default</span>:</div> +<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>  VLOG(DRIVER) << __func__ << <span class="stringliteral">": unsupported lifetime for input tensor: "</span> << operand->lifetime;</div> +<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml">LayerInputHandle</a>();</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>  }</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>  <span class="keywordflow">catch</span> (<a class="code" href="classarmnn__driver_1_1_unsupported_operand.xhtml">UnsupportedOperand<OperandType></a>& e)</div> +<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  {</div> +<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  VLOG(DRIVER) << __func__ << <span class="stringliteral">": Operand type: "</span> << e.<a class="code" href="classarmnn__driver_1_1_unsupported_operand.xhtml#adbccd9c087443cf759711a3e62da9a84">m_type</a> << <span class="stringliteral">" not supported in ArmnnDriver"</span>;</div> +<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.xhtml">LayerInputHandle</a>();</div> +<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  }</div> +<div class="line"><a name="l00336"></a><span class="lineno"> 336</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00154">ConvertOperandToConstTensorPin()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00153">FORWARD_LAYER_SUPPORT_FUNC</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00115">ConstTensorPin::GetConstTensor()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00198">TensorInfo::GetDataType()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00295">BaseTensor< MemoryType >::GetInfo()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00643">GetInputOperand()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer::GetOutputSlot()</a>, <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00097">GetTensorInfoForOperand()</a>, <a class="el" href="namespacearmnn.xhtml#a0d2ad1212c8773f36160ef6e5e7db61f">armnn::IsConstantSupported()</a>, <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00486">IsDynamicTensor()</a>, <a class="el" href="namespacearmnn.xhtml#a3512b2f24950886288c5d01df1488f15">armnn::IsInputSupported()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00105">ConstTensorPin::IsValid()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00059">ConversionData::m_Backends</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00063">ConversionData::m_DynamicInputsEncountered</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00060">ConversionData::m_Network</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00061">ConversionData::m_OutputSlotForOperand</a>, <a class="el" href="_canonical_utils_8hpp_source.xhtml#l00035">UnsupportedOperand< OperandType >::m_type</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a99cc75f524d831824c5f3730a88e9ca3">IConnectableLayer::SetBackendId()</a>, and <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">IOutputSlot::SetTensorInfo()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00380">ConvertPooling2d()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00508">ConvertReduce()</a>, and <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00592">ConvertToActivation()</a>.</p> + +</div> +</div> +<a id="a37ca67c646393225921543233a873803"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a37ca67c646393225921543233a873803">◆ </a></span>DequantizeAndMakeConstTensorPin()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn__driver_1_1_const_tensor_pin.xhtml">ConstTensorPin</a> DequantizeAndMakeConstTensorPin </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">size_t </td> + <td class="paramname"><em>operandIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">bool </td> + <td class="paramname"><em>optional</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="_conversion_utils_8cpp_source.xhtml#l00731">731</a> of file <a class="el" href="_conversion_utils_8cpp_source.xhtml">ConversionUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00736"></a><span class="lineno"> 736</span> {</div> +<div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  <a class="code" href="namespacearmnn__driver.xhtml#a8932639a884a3dc698f29d4e8395ba49">DequantizeResult</a> dequantized = <a class="code" href="namespacearmnn__driver.xhtml#a78a9a9f196810df6bc4795568f275c75">DequantizeIfRequired</a>(operandIndex,operation, model, data);</div> +<div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  </div> +<div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  <a class="code" href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5c">DequantizeStatus</a> status = std::get<3>(dequantized);</div> +<div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  <span class="keywordflow">switch</span> (status)</div> +<div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  {</div> +<div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  <span class="keywordflow">case</span> DequantizeStatus::INVALID_OPERAND:</div> +<div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  {</div> +<div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  <span class="comment">// return invalid const tensor pin</span></div> +<div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_const_tensor_pin.xhtml">ConstTensorPin</a>();</div> +<div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  }</div> +<div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  <span class="keywordflow">case</span> DequantizeStatus::NOT_REQUIRED:</div> +<div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  {</div> +<div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.xhtml#a8c749c18e62c59a5c1254aac342c995a">ConvertOperationInputToConstTensorPin</a>(</div> +<div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  operation, operandIndex, model, data, <a class="code" href="namespacearmnn__driver.xhtml#ae059aea66ee0867a204aa2f2d9abb42c">g_DontPermute</a>, <span class="keyword">nullptr</span>, optional);</div> +<div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  }</div> +<div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  <span class="keywordflow">case</span> DequantizeStatus::SUCCESS:</div> +<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  <span class="keywordflow">default</span>:</div> +<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  {</div> +<div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_const_tensor_pin.xhtml">ConstTensorPin</a>(</div> +<div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  std::get<2>(dequantized), std::get<0>(dequantized).get(), std::get<1>(dequantized), <a class="code" href="namespacearmnn__driver.xhtml#ae059aea66ee0867a204aa2f2d9abb42c">g_DontPermute</a>);</div> +<div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  }</div> +<div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  }</div> +<div class="line"><a name="l00759"></a><span class="lineno"> 759</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00718">ConvertOperationInputToConstTensorPin()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00648">DequantizeIfRequired()</a>, <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00038">g_DontPermute</a>, <a class="el" href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5ca6bf179afa8f7fba18cf39bc0ca6fe043">INVALID_OPERAND</a>, <a class="el" href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5caaf655f85da1fc9b6a348b9893ee6aef7">NOT_REQUIRED</a>, and <a class="el" href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5cad0749aaba8b833466dfcbb0428e4f89c">SUCCESS</a>.</p> + +</div> +</div> +<a id="a78a9a9f196810df6bc4795568f275c75"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a78a9a9f196810df6bc4795568f275c75">◆ </a></span>DequantizeIfRequired()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="namespacearmnn__driver.xhtml#a8932639a884a3dc698f29d4e8395ba49">DequantizeResult</a> DequantizeIfRequired </td> + <td>(</td> + <td class="paramtype">size_t </td> + <td class="paramname"><em>operand_index</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</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="_conversion_utils_8cpp_source.xhtml#l00648">648</a> of file <a class="el" href="_conversion_utils_8cpp_source.xhtml">ConversionUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00652"></a><span class="lineno"> 652</span> {</div> +<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* weightsOperand = <a class="code" href="namespacearmnn__driver.xhtml#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, operand_index, model);</div> +<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  <span class="keywordflow">if</span> (!weightsOperand)</div> +<div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  {</div> +<div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  <span class="keywordflow">return</span> { <span class="keyword">nullptr</span>, 0, <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(), DequantizeStatus::INVALID_OPERAND };</div> +<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  }</div> +<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  </div> +<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn__driver.xhtml#a9ddfceb499ef7b3d01053399bc79b852">IsOperandConstant</a>(*weightsOperand))</div> +<div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  {</div> +<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  <span class="comment">// Weights are already constant</span></div> +<div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="keywordflow">return</span> { <span class="keyword">nullptr</span>, 0, <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(), DequantizeStatus::NOT_REQUIRED };</div> +<div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  }</div> +<div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  </div> +<div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> weightsInputIndex = operation.inputs[operand_index];</div> +<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  </div> +<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <span class="comment">// The weights are a non const tensor, this indicates they might be the output of a dequantize op.</span></div> +<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="comment">// Iterate over the nodes and find the previous operation which should be DEQUANTIZE</span></div> +<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="keywordflow">for</span> (uint32_t operationIdx = 0; operationIdx < <a class="code" href="_conversion_utils_8hpp.xhtml#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a>(model).operations.size(); ++operationIdx)</div> +<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  {</div> +<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <span class="comment">// Search for the DEQUANTIZE op which has the operand with index equal to operandIndex</span></div> +<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& operationIt = <a class="code" href="_conversion_utils_8hpp.xhtml#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a>(model).operations[operationIdx];</div> +<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <span class="keywordflow">if</span> (operationIt.type != OperationType::DEQUANTIZE)</div> +<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  {</div> +<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="keywordflow">continue</span>;</div> +<div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  }</div> +<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  </div> +<div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  <span class="keywordtype">size_t</span> outOpIndex = weightsInputIndex + 1;</div> +<div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; outOpIndex != weightsInputIndex && i < operationIt.outputs.size(); ++i)</div> +<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  {</div> +<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  outOpIndex = operationIt.outputs[i];</div> +<div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  }</div> +<div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  </div> +<div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  <span class="keywordflow">if</span> (outOpIndex != weightsInputIndex)</div> +<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  {</div> +<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  <span class="keywordflow">continue</span>;</div> +<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  }</div> +<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  </div> +<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* operand = <a class="code" href="namespacearmnn__driver.xhtml#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operationIt, 0, model);</div> +<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(operand);</div> +<div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  </div> +<div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn__driver.xhtml#a267f6b68937e2126b6ca890a6b11ea9c">IsQSymm8</a>(*operand))</div> +<div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  {</div> +<div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  <span class="comment">// Only supporting dequantize from QSYMM8 to FLOAT</span></div> +<div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  }</div> +<div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  </div> +<div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  <span class="comment">// Allocate a new buffer for the dequantized data and manually dequantize</span></div> +<div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  <span class="keyword">const</span> <span class="keywordtype">void</span>* startValue = <a class="code" href="namespacearmnn__driver.xhtml#a8d20245b5ca3cbb0b132064ab44f2682">GetOperandValueReadOnlyAddress</a>(*operand, model, data);</div> +<div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <span class="keywordflow">if</span> (!startValue)</div> +<div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  {</div> +<div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <span class="comment">// Failed to get the operand address</span></div> +<div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  }</div> +<div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  </div> +<div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <span class="keyword">const</span> uint8_t* quantizedBuffer = <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>uint8_t*<span class="keyword">></span>(startValue);</div> +<div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  <span class="keywordtype">size_t</span> dequantizedBufferLength = operand->location.length;</div> +<div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> quantizationScale = operand->scale;</div> +<div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  </div> +<div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  <span class="keyword">auto</span> dequantizedBuffer = std::make_unique<float[]>(dequantizedBufferLength + 1);</div> +<div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < dequantizedBufferLength; ++i)</div> +<div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  {</div> +<div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  <span class="keywordtype">float</span>* dstPtr = dequantizedBuffer.get();</div> +<div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(dstPtr);</div> +<div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  *dstPtr++ = quantizedBuffer[i] * quantizationScale;</div> +<div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  }</div> +<div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  </div> +<div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  <span class="comment">// Construct tensor info for dequantized ConstTensor</span></div> +<div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> tensorInfo(operand->dimensions.size(),</div> +<div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  operand->dimensions.data(),</div> +<div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div> +<div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  </div> +<div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  <span class="keywordflow">return</span> { std::move(dequantizedBuffer), dequantizedBufferLength * <span class="keyword">sizeof</span>(float),</div> +<div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  std::move(tensorInfo),</div> +<div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  DequantizeStatus::SUCCESS };</div> +<div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  }</div> +<div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  </div> +<div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  <span class="keywordflow">return</span> { <span class="keyword">nullptr</span>, 0, <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>() , DequantizeStatus::NOT_REQUIRED};</div> +<div class="line"><a name="l00729"></a><span class="lineno"> 729</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00014">ARMNN_ASSERT</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00643">GetInputOperand()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00028">getMainModel()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00777">GetOperandValueReadOnlyAddress()</a>, <a class="el" href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5ca6bf179afa8f7fba18cf39bc0ca6fe043">INVALID_OPERAND</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00698">IsOperandConstant()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l01002">IsQSymm8()</a>, <a class="el" href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5caaf655f85da1fc9b6a348b9893ee6aef7">NOT_REQUIRED</a>, and <a class="el" href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5cad0749aaba8b833466dfcbb0428e4f89c">SUCCESS</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00731">DequantizeAndMakeConstTensorPin()</a>.</p> + +</div> +</div> +<a id="aa313ae79f70102e3451d45d3387c2e46"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa313ae79f70102e3451d45d3387c2e46">◆ </a></span>DumpJsonProfilingIfRequired()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">void DumpJsonProfilingIfRequired </td> + <td>(</td> + <td class="paramtype">bool </td> + <td class="paramname"><em>gpuProfilingEnabled</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>dumpDir</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> </td> + <td class="paramname"><em>networkId</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_profiler.xhtml">armnn::IProfiler</a> * </td> + <td class="paramname"><em>profiler</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="_canonical_utils_8cpp_source.xhtml#l00350">350</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> {</div> +<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="comment">// Check if profiling is required.</span></div> +<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keywordflow">if</span> (!gpuProfilingEnabled)</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">return</span>;</div> +<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  }</div> +<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  </div> +<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="comment">// The dump directory must exist in advance.</span></div> +<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordflow">if</span> (dumpDir.empty())</div> +<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  {</div> +<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keywordflow">return</span>;</div> +<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  }</div> +<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  </div> +<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(profiler);</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>  <span class="comment">// Set the name of the output profiling file.</span></div> +<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  fs::path dumpPath = dumpDir;</div> +<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="keyword">const</span> fs::path fileName = dumpPath / (std::to_string(networkId) + <span class="stringliteral">"_profiling.json"</span>);</div> +<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>  <span class="comment">// Open the ouput file for writing.</span></div> +<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  std::ofstream fileStream;</div> +<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  fileStream.open(fileName.c_str(), std::ofstream::out | std::ofstream::trunc);</div> +<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  </div> +<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keywordflow">if</span> (!fileStream.good())</div> +<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  {</div> +<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  VLOG(DRIVER) << <span class="stringliteral">"Could not open file %s for writing"</span> << fileName.c_str();</div> +<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordflow">return</span>;</div> +<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  }</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="comment">// Write the profiling info to a JSON file.</span></div> +<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  profiler-><a class="code" href="classarmnn_1_1_i_profiler.xhtml#a038bb767bbc6abc0ee0d9b509616b896">Print</a>(fileStream);</div> +<div class="line"><a name="l00385"></a><span class="lineno"> 385</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00014">ARMNN_ASSERT</a>, and <a class="el" href="_profiling_8cpp_source.xhtml#l00630">IProfiler::Print()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00626">ArmnnPreparedModel::~ArmnnPreparedModel()</a>.</p> + +</div> +</div> +<a id="aa25bddb175983b2d3e0965440323d789"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa25bddb175983b2d3e0965440323d789">◆ </a></span>DumpTensor()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">void DumpTensor </td> + <td>(</td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>dumpDir</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>requestName</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>tensorName</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const TensorType & </td> + <td class="paramname"><em>tensor</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="_canonical_utils_8cpp_source.xhtml#l00217">217</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> {</div> +<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="comment">// The dump directory must exist in advance.</span></div> +<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  fs::path dumpPath = dumpDir;</div> +<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keyword">const</span> fs::path fileName = dumpPath / (requestName + <span class="stringliteral">"_"</span> + tensorName + <span class="stringliteral">".dump"</span>);</div> +<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  </div> +<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  std::ofstream fileStream;</div> +<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  fileStream.open(fileName.c_str(), std::ofstream::out | std::ofstream::trunc);</div> +<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  </div> +<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">if</span> (!fileStream.good())</div> +<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  {</div> +<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  VLOG(DRIVER) << <span class="stringliteral">"Could not open file %s for writing"</span> << fileName.c_str();</div> +<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">return</span>;</div> +<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  }</div> +<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  </div> +<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  DumpElementFunction<TensorType> dumpElementFunction = <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  </div> +<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">switch</span> (tensor.GetDataType())</div> +<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  {</div> +<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div> +<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  {</div> +<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  dumpElementFunction = &DumpTensorElement<TensorType, float>;</div> +<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordflow">break</span>;</div> +<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">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</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>  dumpElementFunction = &DumpTensorElement<TensorType, uint8_t, uint32_t>;</div> +<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keywordflow">break</span>;</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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>:</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>  dumpElementFunction = &DumpTensorElement<TensorType, int32_t>;</div> +<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  }</div> +<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>:</div> +<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  {</div> +<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  dumpElementFunction = &DumpTensorElement<TensorType, armnn::Half>;</div> +<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  }</div> +<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</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>  dumpElementFunction = &DumpTensorElement<TensorType, int8_t, int32_t>;</div> +<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  }</div> +<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>:</div> +<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>  dumpElementFunction = &DumpTensorElement<TensorType, bool>;</div> +<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">break</span>;</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>  <span class="keywordflow">default</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>  dumpElementFunction = <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  }</div> +<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  }</div> +<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> (dumpElementFunction != <span class="keyword">nullptr</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="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDimensions = tensor.GetNumDimensions();</div> +<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> shape = tensor.GetShape();</div> +<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  </div> +<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">if</span> (!shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#acccb75bd1d68a81f6ddd61687f51c5a1">AreAllDimensionsSpecified</a>())</div> +<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  {</div> +<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  fileStream << <span class="stringliteral">"Cannot dump tensor elements: not all dimensions are specified"</span> << std::endl;</div> +<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">return</span>;</div> +<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  }</div> +<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  fileStream << <span class="stringliteral">"# Number of elements "</span> << tensor.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() << std::endl;</div> +<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  </div> +<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordflow">if</span> (numDimensions == 0)</div> +<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  {</div> +<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  fileStream << <span class="stringliteral">"# Shape []"</span> << std::endl;</div> +<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">return</span>;</div> +<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  }</div> +<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  fileStream << <span class="stringliteral">"# Shape ["</span> << shape[0];</div> +<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 1; d < numDimensions; ++d)</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>  fileStream << <span class="stringliteral">","</span> << shape[d];</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>  fileStream << <span class="stringliteral">"]"</span> << std::endl;</div> +<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  fileStream << <span class="stringliteral">"Each line contains the data of each of the elements of dimension0. In NCHW and NHWC, each line"</span></div> +<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="stringliteral">" will be a batch"</span> << std::endl << std::endl;</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="comment">// Split will create a new line after all elements of the first dimension</span></div> +<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="comment">// (in a 4, 3, 2, 3 tensor, there will be 4 lines of 18 elements)</span></div> +<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> split = 1;</div> +<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keywordflow">if</span> (numDimensions == 1)</div> +<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  {</div> +<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  split = shape[0];</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="keywordflow">else</span></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="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 1; i < numDimensions; ++i)</div> +<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  {</div> +<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  split *= shape[i];</div> +<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  }</div> +<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  }</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="comment">// Print all elements in the tensor</span></div> +<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> elementIndex = 0; elementIndex < tensor.GetNumElements(); ++elementIndex)</div> +<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  {</div> +<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  (*dumpElementFunction)(tensor, elementIndex, fileStream);</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>  <span class="keywordflow">if</span> ( (elementIndex + 1) % split == 0 )</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>  fileStream << std::endl;</div> +<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  }</div> +<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>  fileStream << std::endl;</div> +<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  }</div> +<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  {</div> +<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  fileStream << <span class="stringliteral">"Cannot dump tensor elements: Unsupported data type "</span></div> +<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  << <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(tensor.GetDataType()) << std::endl;</div> +<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  }</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>  <span class="keywordflow">if</span> (!fileStream.good())</div> +<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  {</div> +<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  VLOG(DRIVER) << <span class="stringliteral">"An error occurred when writing to file %s"</span> << fileName.c_str();</div> +<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> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_tensor_8cpp_source.xhtml#l00241">TensorShape::AreAllDimensionsSpecified()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00181">TensorShape::GetNumElements()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +</div> +</div> +<a id="a46cd012184b5106f810f5b6ea75863c4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a46cd012184b5106f810f5b6ea75863c4">◆ </a></span>DumpTensor< armnn::ConstTensor >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template void <a class="el" href="namespacearmnn__driver.xhtml#aa25bddb175983b2d3e0965440323d789">armnn_driver::DumpTensor</a>< <a class="el" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> > </td> + <td>(</td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>dumpDir</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>requestName</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>tensorName</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> & </td> + <td class="paramname"><em>tensor</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a533bbc27789ba037d6f6b75f58624567"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a533bbc27789ba037d6f6b75f58624567">◆ </a></span>DumpTensor< armnn::Tensor >()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">template void <a class="el" href="namespacearmnn__driver.xhtml#aa25bddb175983b2d3e0965440323d789">armnn_driver::DumpTensor</a>< <a class="el" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> > </td> + <td>(</td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>dumpDir</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>requestName</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>tensorName</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> & </td> + <td class="paramname"><em>tensor</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +</div> +</div> +<a id="a5304cf930377fc082e7494d20de2be12"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5304cf930377fc082e7494d20de2be12">◆ </a></span>ExportNetworkGraphToDotFile()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">std::string ExportNetworkGraphToDotFile </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_optimized_network.xhtml">armnn::IOptimizedNetwork</a> & </td> + <td class="paramname"><em>optimizedNetwork</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>dumpDir</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="_canonical_utils_8cpp_source.xhtml#l00387">387</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> {</div> +<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  std::string fileName;</div> +<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="comment">// The dump directory must exist in advance.</span></div> +<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="keywordflow">if</span> (dumpDir.empty())</div> +<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  {</div> +<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keywordflow">return</span> fileName;</div> +<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  }</div> +<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  </div> +<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  std::string timestamp = <a class="code" href="namespacearmnn__driver.xhtml#a419cd7b9bad83f31f6db8ba9a3b9517a">GetFileTimestamp</a>();</div> +<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="keywordflow">if</span> (timestamp.empty())</div> +<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>  <span class="keywordflow">return</span> fileName;</div> +<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  }</div> +<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  </div> +<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="comment">// Set the name of the output .dot file.</span></div> +<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  fs::path dumpPath = dumpDir;</div> +<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  fs::path tempFilePath = dumpPath / (timestamp + <span class="stringliteral">"_networkgraph.dot"</span>);</div> +<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  fileName = tempFilePath.string();</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>  VLOG(DRIVER) << <span class="stringliteral">"Exporting the optimized network graph to file: %s"</span> << fileName.c_str();</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="comment">// Write the network graph to a dot file.</span></div> +<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  std::ofstream fileStream;</div> +<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  fileStream.open(fileName, std::ofstream::out | std::ofstream::trunc);</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>  <span class="keywordflow">if</span> (!fileStream.good())</div> +<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  {</div> +<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  VLOG(DRIVER) << <span class="stringliteral">"Could not open file %s for writing"</span> << fileName.c_str();</div> +<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keywordflow">return</span> fileName;</div> +<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  }</div> +<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  </div> +<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">if</span> (optimizedNetwork.<a class="code" href="classarmnn_1_1_i_optimized_network.xhtml#a26794f014974a6f963a8925de07bffeb">SerializeToDot</a>(fileStream) != <a class="code" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a>)</div> +<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  {</div> +<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  VLOG(DRIVER) << <span class="stringliteral">"An error occurred when writing to file %s"</span> << fileName.c_str();</div> +<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  }</div> +<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keywordflow">return</span> fileName;</div> +<div class="line"><a name="l00425"></a><span class="lineno"> 425</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00555">GetFileTimestamp()</a>, <a class="el" href="_network_8cpp_source.xhtml#l00686">IOptimizedNetwork::SerializeToDot()</a>, and <a class="el" href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Success</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_armnn_driver_impl_8cpp_source.xhtml#l00099">ArmnnDriverImpl::PrepareArmnnModel()</a>, and <a class="el" href="_armnn_driver_impl_8cpp_source.xhtml#l00338">ArmnnDriverImpl::PrepareArmnnModelFromCache()</a>.</p> + +</div> +</div> +<a id="a419cd7b9bad83f31f6db8ba9a3b9517a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a419cd7b9bad83f31f6db8ba9a3b9517a">◆ </a></span>GetFileTimestamp()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">std::string GetFileTimestamp </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00555">555</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> {</div> +<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <span class="comment">// used to get a timestamp to name diagnostic files (the ArmNN serialized graph</span></div> +<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <span class="comment">// and getSupportedOperations.txt files)</span></div> +<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  timespec ts;</div> +<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="keywordtype">int</span> iRet = clock_gettime(CLOCK_MONOTONIC_RAW, &ts);</div> +<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  std::stringstream ss;</div> +<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="keywordflow">if</span> (iRet == 0)</div> +<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  {</div> +<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  ss << std::to_string(ts.tv_sec) << <span class="stringliteral">"_"</span> << std::to_string(ts.tv_nsec);</div> +<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  }</div> +<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  {</div> +<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  VLOG(DRIVER) << <span class="stringliteral">"clock_gettime failed with errno "</span> <<</div> +<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  std::to_string(errno).c_str() << <span class="stringliteral">" : "</span> <<</div> +<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  std::strerror(errno);</div> +<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  }</div> +<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="keywordflow">return</span> ss.str();</div> +<div class="line"><a name="l00573"></a><span class="lineno"> 573</span> }</div> +</div><!-- fragment --> +<p class="reference">Referenced by <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00387">ExportNetworkGraphToDotFile()</a>, and <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00427">SerializeNetwork()</a>.</p> + +</div> +</div> +<a id="ac092fff5c81f7938eea9a2479f014c66"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac092fff5c81f7938eea9a2479f014c66">◆ </a></span>GetInputActivationFunction()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool armnn_driver::GetInputActivationFunction </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>inputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">ActivationFn & </td> + <td class="paramname"><em>outActivationFunction</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</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">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00823">823</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00828"></a><span class="lineno"> 828</span> {</div> +<div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.xhtml#a3ac499dc54900adc7f2613944b583e10">GetInputActivationFunctionImpl</a>(operation,</div> +<div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  inputIndex,</div> +<div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  OperandType::INT32,</div> +<div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  outActivationFunction,</div> +<div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  model,</div> +<div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  data);</div> +<div class="line"><a name="l00835"></a><span class="lineno"> 835</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00800">GetInputActivationFunctionImpl()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00380">ConvertPooling2d()</a>, and <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00853">GetOptionalInputActivation()</a>.</p> + +</div> +</div> +<a id="a4c6b55ca5080b58c2cc6d7c6c7347d96"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4c6b55ca5080b58c2cc6d7c6c7347d96">◆ </a></span>GetInputActivationFunctionFromTensor()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool armnn_driver::GetInputActivationFunctionFromTensor </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>inputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">ActivationFn & </td> + <td class="paramname"><em>outActivationFunction</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</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">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00837">837</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00842"></a><span class="lineno"> 842</span> {</div> +<div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  <span class="comment">// This only accepts a 1-D tensor of size 1</span></div> +<div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.xhtml#a3ac499dc54900adc7f2613944b583e10">GetInputActivationFunctionImpl</a>(operation,</div> +<div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  inputIndex,</div> +<div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  OperandType::INT32,</div> +<div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  outActivationFunction,</div> +<div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  model,</div> +<div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  data);</div> +<div class="line"><a name="l00850"></a><span class="lineno"> 850</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00800">GetInputActivationFunctionImpl()</a>.</p> + +</div> +</div> +<a id="a3ac499dc54900adc7f2613944b583e10"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3ac499dc54900adc7f2613944b583e10">◆ </a></span>GetInputActivationFunctionImpl()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool armnn_driver::GetInputActivationFunctionImpl </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>inputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn__driver.xhtml#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a> </td> + <td class="paramname"><em>type</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">ActivationFn & </td> + <td class="paramname"><em>outActivationFunction</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</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">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00800">800</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00806"></a><span class="lineno"> 806</span> {</div> +<div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  <span class="keywordflow">if</span> (type != OperandType::INT32 && type != OperandType::TENSOR_INT32)</div> +<div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  {</div> +<div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  VLOG(DRIVER) << __func__ << <span class="stringliteral">": unexpected operand type: "</span> << type</div> +<div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  << <span class="stringliteral">" should be OperandType::INT32 or OperandType::TENSOR_INT32"</span>;</div> +<div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  }</div> +<div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  </div> +<div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  int32_t activationFunctionAsInt;</div> +<div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, inputIndex, type, activationFunctionAsInt, model, data))</div> +<div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  {</div> +<div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: failed to get activation input value"</span>, __func__);</div> +<div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  }</div> +<div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  outActivationFunction = <span class="keyword">static_cast<</span>ActivationFn<span class="keyword">></span>(activationFunctionAsInt);</div> +<div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l00821"></a><span class="lineno"> 821</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00742">GetInputScalar()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00823">GetInputActivationFunction()</a>, and <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00837">GetInputActivationFunctionFromTensor()</a>.</p> + +</div> +</div> +<a id="a560530462631e354561c1763f695351c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a560530462631e354561c1763f695351c">◆ </a></span>GetInputFloat32()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool armnn_driver::GetInputFloat32 </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>inputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float & </td> + <td class="paramname"><em>outValue</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</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">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00791">791</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00796"></a><span class="lineno"> 796</span> {</div> +<div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, inputIndex, OperandType::FLOAT32, outValue, model, data);</div> +<div class="line"><a name="l00798"></a><span class="lineno"> 798</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00742">GetInputScalar()</a>.</p> + +</div> +</div> +<a id="aa43f9c81f830559c15e5af86f8e11482"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa43f9c81f830559c15e5af86f8e11482">◆ </a></span>GetInputInt32()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool armnn_driver::GetInputInt32 </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>inputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int32_t & </td> + <td class="paramname"><em>outValue</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</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">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00782">782</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00787"></a><span class="lineno"> 787</span> {</div> +<div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, inputIndex, OperandType::INT32, outValue, model, data);</div> +<div class="line"><a name="l00789"></a><span class="lineno"> 789</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00742">GetInputScalar()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00761">GetInputPaddingScheme()</a>.</p> + +</div> +</div> +<a id="a14977f94479f2f7e13bdf915ac8ce8d0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a14977f94479f2f7e13bdf915ac8ce8d0">◆ </a></span>GetInputOperand()</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="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* armnn_driver::GetInputOperand </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>inputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">bool </td> + <td class="paramname"><em>failOnIndexOutOfBounds</em> = <code>true</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">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00643">643</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00647"></a><span class="lineno"> 647</span> {</div> +<div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  <span class="keywordflow">if</span> (inputIndex >= operation.inputs.size())</div> +<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  {</div> +<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <span class="keywordflow">if</span> (failOnIndexOutOfBounds)</div> +<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  {</div> +<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  Fail(<span class="stringliteral">"%s: invalid input index: %i out of %i"</span>, __func__, inputIndex, operation.inputs.size());</div> +<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  }</div> +<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  }</div> +<div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  </div> +<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <span class="comment">// Model should have been validated beforehand</span></div> +<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(operation.inputs[inputIndex] < <a class="code" href="_conversion_utils_8hpp.xhtml#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a>(model).operands.size());</div> +<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <span class="keywordflow">return</span> &<a class="code" href="_conversion_utils_8hpp.xhtml#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a>(model).operands[operation.inputs[inputIndex]];</div> +<div class="line"><a name="l00660"></a><span class="lineno"> 660</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00014">ARMNN_ASSERT</a>, and <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00028">getMainModel()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00718">ConvertOperationInputToConstTensorPin()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00338">ConvertPaddings()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00508">ConvertReduce()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00204">ConvertToLayerInputHandle()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00648">DequantizeIfRequired()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00742">GetInputScalar()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00683">GetOperandType()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00900">GetOptionalBool()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00134">IsWeightsValid()</a>, and <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00853">OptionalDataLayout()</a>.</p> + +</div> +</div> +<a id="aa9ef723ace8562b9636e8387a120fbde"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa9ef723ace8562b9636e8387a120fbde">◆ </a></span>GetInputPaddingScheme()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool GetInputPaddingScheme </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>inputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">PaddingScheme & </td> + <td class="paramname"><em>outPaddingScheme</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</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="_conversion_utils_8cpp_source.xhtml#l00761">761</a> of file <a class="el" href="_conversion_utils_8cpp_source.xhtml">ConversionUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00766"></a><span class="lineno"> 766</span> {</div> +<div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  int32_t paddingSchemeAsInt;</div> +<div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn__driver.xhtml#aa43f9c81f830559c15e5af86f8e11482">GetInputInt32</a>(operation, inputIndex, paddingSchemeAsInt, model, data))</div> +<div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  {</div> +<div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: failed to get padding scheme input value"</span>, __func__);</div> +<div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  }</div> +<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  </div> +<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  outPaddingScheme = <span class="keyword">static_cast<</span>::android::nn::PaddingScheme<span class="keyword">></span>(paddingSchemeAsInt);</div> +<div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l00775"></a><span class="lineno"> 775</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00782">GetInputInt32()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00380">ConvertPooling2d()</a>.</p> + +</div> +</div> +<a id="abf92490dc588f48af86fc12184841fd5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abf92490dc588f48af86fc12184841fd5">◆ </a></span>GetInputScalar()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool armnn_driver::GetInputScalar </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>inputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn__driver.xhtml#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a> </td> + <td class="paramname"><em>type</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">OutputType & </td> + <td class="paramname"><em>outValue</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">bool </td> + <td class="paramname"><em>optional</em> = <code>false</code> </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="_conversion_utils_8hpp_source.xhtml#l00742">742</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00749"></a><span class="lineno"> 749</span> {</div> +<div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* operand = <a class="code" href="namespacearmnn__driver.xhtml#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, inputIndex, model);</div> +<div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  <span class="keywordflow">if</span> (!optional && !operand)</div> +<div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  {</div> +<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: invalid input operand at index %i"</span>, __func__, inputIndex);</div> +<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  }</div> +<div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  </div> +<div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  <span class="keywordflow">if</span> (!optional && operand->type != type)</div> +<div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  {</div> +<div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  VLOG(DRIVER) << __func__ << <span class="stringliteral">": unexpected operand type: "</span> << operand->type << <span class="stringliteral">" should be: "</span> << type;</div> +<div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  }</div> +<div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  </div> +<div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  <span class="keywordflow">if</span> (!optional && operand->location.length != <span class="keyword">sizeof</span>(OutputType))</div> +<div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  {</div> +<div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: incorrect operand location length: %i (should be %i)"</span>,</div> +<div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  __func__, operand->location.length, <span class="keyword">sizeof</span>(OutputType));</div> +<div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  }</div> +<div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  </div> +<div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  <span class="keyword">const</span> <span class="keywordtype">void</span>* valueAddress = <a class="code" href="namespacearmnn__driver.xhtml#a8d20245b5ca3cbb0b132064ab44f2682">GetOperandValueReadOnlyAddress</a>(*operand, model, data);</div> +<div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  <span class="keywordflow">if</span> (!optional && !valueAddress)</div> +<div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  {</div> +<div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: failed to get address for operand"</span>, __func__);</div> +<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  }</div> +<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  </div> +<div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  <span class="keywordflow">if</span>(!optional)</div> +<div class="line"><a name="l00775"></a><span class="lineno"> 775</span>  {</div> +<div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  outValue = *(<span class="keyword">static_cast<</span><span class="keyword">const </span>OutputType*<span class="keyword">></span>(valueAddress));</div> +<div class="line"><a name="l00777"></a><span class="lineno"> 777</span>  }</div> +<div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  </div> +<div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l00780"></a><span class="lineno"> 780</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00643">GetInputOperand()</a>, and <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00777">GetOperandValueReadOnlyAddress()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00380">ConvertPooling2d()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00508">ConvertReduce()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00800">GetInputActivationFunctionImpl()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00791">GetInputFloat32()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00782">GetInputInt32()</a>, and <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00874">GetOptionalConvolutionDilationParams()</a>.</p> + +</div> +</div> +<a id="a915f2652854e417e26afc297f12e107c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a915f2652854e417e26afc297f12e107c">◆ </a></span>GetMemoryFromPointer()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">void * GetMemoryFromPointer </td> + <td>(</td> + <td class="paramtype">const Request::Argument & </td> + <td class="paramname"><em>requestArg</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00077">77</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> {</div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="comment">// get the pointer memory</span></div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">auto</span> ptrMemory = std::visit([](std::variant<const void*, void*>&& memory)</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  {</div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">if</span> (std::holds_alternative<const void*>(memory))</div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  {</div> +<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keyword">auto</span> ptr = std::get<const void*>(memory);</div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">auto</span> ptrMemory = <span class="keyword">static_cast<</span><span class="keyword">const </span>uint8_t*<span class="keyword">></span>(ptr);</div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">return</span> <span class="keyword">const_cast<</span>uint8_t*<span class="keyword">></span>(ptrMemory);</div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div> +<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  {</div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">auto</span> ptr = std::get<void*>(memory);</div> +<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordflow">return</span> <span class="keyword">static_cast<</span>uint8_t*<span class="keyword">></span>(ptr);</div> +<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  }</div> +<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  }, requestArg.location.pointer);</div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">return</span> ptrMemory;</div> +<div class="line"><a name="l00095"></a><span class="lineno"> 95</span> }</div> +</div><!-- fragment --> +</div> +</div> +<a id="a96666c2945d7fe8c34aee30a449287d5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a96666c2945d7fe8c34aee30a449287d5">◆ </a></span>GetMemoryFromPool()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">void * GetMemoryFromPool </td> + <td>(</td> + <td class="paramtype">DataLocation </td> + <td class="paramname"><em>location</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< android::nn::RunTimePoolInfo > & </td> + <td class="paramname"><em>memPools</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Returns a pointer to a specific location in a pool`. </p> + +<p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00066">66</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> {</div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="comment">// find the location within the pool</span></div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  assert(location.poolIndex < memPools.size());</div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  </div> +<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">const</span> android::nn::RunTimePoolInfo& memPool = memPools[location.poolIndex];</div> +<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  uint8_t* memPoolBuffer = memPool.getBuffer();</div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  uint8_t* memory = memPoolBuffer + location.offset;</div> +<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">return</span> memory;</div> +<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> }</div> +</div><!-- fragment --> +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00777">GetOperandValueReadOnlyAddress()</a>.</p> + +</div> +</div> +<a id="a31b494d1b36f5ed7fc7556a0fbc2c17c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a31b494d1b36f5ed7fc7556a0fbc2c17c">◆ </a></span>GetModelSummary()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">std::string GetModelSummary </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00521">521</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00522"></a><span class="lineno"> 522</span> {</div> +<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  std::stringstream result;</div> +<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  </div> +<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  result << model.main.inputIndexes.size() << <span class="stringliteral">" input(s), "</span></div> +<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  << model.main.operations.size() << <span class="stringliteral">" operation(s), "</span></div> +<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  << model.main.outputIndexes.size() << <span class="stringliteral">" output(s), "</span></div> +<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  << model.main.operands.size() << <span class="stringliteral">" operand(s) "</span></div> +<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  << std::endl;</div> +<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  </div> +<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  result << <span class="stringliteral">"Inputs: "</span>;</div> +<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < model.main.inputIndexes.size(); i++)</div> +<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  {</div> +<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  result << <a class="code" href="namespacearmnn__driver.xhtml#ac0532f3c7d143a04aee7f5991ee5d381">GetOperandSummary</a>(model.main.operands[model.main.inputIndexes[i]]) << <span class="stringliteral">", "</span>;</div> +<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  }</div> +<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  result << std::endl;</div> +<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  </div> +<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  result << <span class="stringliteral">"Operations: "</span>;</div> +<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < model.main.operations.size(); i++)</div> +<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  {</div> +<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  result << model.main.operations[i].type << <span class="stringliteral">", "</span>;</div> +<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  }</div> +<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  result << std::endl;</div> +<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  </div> +<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  result << <span class="stringliteral">"Outputs: "</span>;</div> +<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < model.main.outputIndexes.size(); i++)</div> +<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  {</div> +<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  result << <a class="code" href="namespacearmnn__driver.xhtml#ac0532f3c7d143a04aee7f5991ee5d381">GetOperandSummary</a>(model.main.operands[model.main.outputIndexes[i]]) << <span class="stringliteral">", "</span>;</div> +<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  }</div> +<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  result << std::endl;</div> +<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  </div> +<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keywordflow">return</span> result.str();</div> +<div class="line"><a name="l00553"></a><span class="lineno"> 553</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00189">GetOperandSummary()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00294">ArmnnPreparedModel::execute()</a>, and <a class="el" href="_armnn_prepared_model_8cpp_source.xhtml#l00477">ArmnnPreparedModel::executeFenced()</a>.</p> + +</div> +</div> +<a id="ac0532f3c7d143a04aee7f5991ee5d381"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac0532f3c7d143a04aee7f5991ee5d381">◆ </a></span>GetOperandSummary()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">std::string GetOperandSummary </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> & </td> + <td class="paramname"><em>operand</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00189">189</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> {</div> +<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  std::stringstream ss;</div> +<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  ss << <span class="stringliteral">"operand dimensions: [ "</span>;</div> +<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < operand.dimensions.size(); ++i)</div> +<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  {</div> +<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  ss << operand.dimensions[i] << <span class="stringliteral">" "</span>;</div> +<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  }</div> +<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  ss << <span class="stringliteral">"] operand type: "</span> << operand.type;</div> +<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">return</span> ss.str();</div> +<div class="line"><a name="l00199"></a><span class="lineno"> 199</span> }</div> +</div><!-- fragment --> +<p class="reference">Referenced by <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00521">GetModelSummary()</a>.</p> + +</div> +</div> +<a id="adfc2c5b834fdb89e5458ddb1d9aa7830"></a> +<h2 class="memtitle"><span class="permalink"><a href="#adfc2c5b834fdb89e5458ddb1d9aa7830">◆ </a></span>GetOperandType()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool armnn_driver::GetOperandType </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>inputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="namespacearmnn__driver.xhtml#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a> & </td> + <td class="paramname"><em>type</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">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00683">683</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00687"></a><span class="lineno"> 687</span> {</div> +<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* operand = <a class="code" href="namespacearmnn__driver.xhtml#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, inputIndex, model);</div> +<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  <span class="keywordflow">if</span> (!operand)</div> +<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  {</div> +<div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: invalid input operand at index %i"</span>, __func__, inputIndex);</div> +<div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  }</div> +<div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  </div> +<div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  type = operand->type;</div> +<div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l00696"></a><span class="lineno"> 696</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00643">GetInputOperand()</a>.</p> + +</div> +</div> +<a id="a8d20245b5ca3cbb0b132064ab44f2682"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8d20245b5ca3cbb0b132064ab44f2682">◆ </a></span>GetOperandValueReadOnlyAddress()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">const void * GetOperandValueReadOnlyAddress </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> & </td> + <td class="paramname"><em>operand</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">bool </td> + <td class="paramname"><em>optional</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="_conversion_utils_8cpp_source.xhtml#l00777">777</a> of file <a class="el" href="_conversion_utils_8cpp_source.xhtml">ConversionUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00781"></a><span class="lineno"> 781</span> {</div> +<div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  <span class="keyword">const</span> <span class="keywordtype">void</span>* valueStart = <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  <span class="keywordflow">switch</span> (operand.lifetime)</div> +<div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  {</div> +<div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  <span class="keywordflow">case</span> OperandLifeTime::CONSTANT_COPY:</div> +<div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  {</div> +<div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  valueStart = model.operandValues.data() + operand.location.offset;</div> +<div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  }</div> +<div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  <span class="keywordflow">case</span> OperandLifeTime::POINTER:</div> +<div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  {</div> +<div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  <span class="comment">// Pointer specified in the model</span></div> +<div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  valueStart = std::get<const void*>(operand.location.pointer);</div> +<div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  }</div> +<div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  <span class="keywordflow">case</span> OperandLifeTime::CONSTANT_REFERENCE:</div> +<div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  {</div> +<div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  <span class="comment">// Constant specified via a Memory object</span></div> +<div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  valueStart = <a class="code" href="namespacearmnn__driver.xhtml#a96666c2945d7fe8c34aee30a449287d5">GetMemoryFromPool</a>(operand.location, data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#acb740de896710dbc576f5eaf7a9cfeaa">m_MemPools</a>);</div> +<div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  }</div> +<div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  <span class="keywordflow">case</span> OperandLifeTime::NO_VALUE:</div> +<div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  {</div> +<div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <span class="comment">// An optional input tensor with no values is not an error so should not register as a fail</span></div> +<div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  <span class="keywordflow">if</span> (optional)</div> +<div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  {</div> +<div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  valueStart = <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  }</div> +<div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  [[fallthrough]];</div> +<div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  }</div> +<div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  <span class="keywordflow">default</span>:</div> +<div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  {</div> +<div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  VLOG(DRIVER) << __func__ << <span class="stringliteral">": unsupported/invalid operand lifetime:: "</span> << operand.lifetime;</div> +<div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  valueStart = <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  }</div> +<div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  }</div> +<div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  </div> +<div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  <span class="keywordflow">return</span> valueStart;</div> +<div class="line"><a name="l00820"></a><span class="lineno"> 820</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00066">GetMemoryFromPool()</a>, and <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00062">ConversionData::m_MemPools</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00154">ConvertOperandToConstTensorPin()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00648">DequantizeIfRequired()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00742">GetInputScalar()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00900">GetOptionalBool()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00822">GetTensorInt32Values()</a>, and <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00853">OptionalDataLayout()</a>.</p> + +</div> +</div> +<a id="ae28f9841f6cb1775849b7921b54da32e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae28f9841f6cb1775849b7921b54da32e">◆ </a></span>GetOptionalBool()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool armnn_driver::GetOptionalBool </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>inputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</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">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00900">900</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00904"></a><span class="lineno"> 904</span> {</div> +<div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* operand = <a class="code" href="namespacearmnn__driver.xhtml#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, inputIndex, model);</div> +<div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  <span class="keywordflow">if</span> (!operand)</div> +<div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  {</div> +<div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  }</div> +<div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  </div> +<div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  <span class="keywordflow">if</span> (!IsBool(*operand))</div> +<div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  {</div> +<div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  }</div> +<div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  </div> +<div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  <span class="keyword">const</span> <span class="keywordtype">void</span>* valueAddress = <a class="code" href="namespacearmnn__driver.xhtml#a8d20245b5ca3cbb0b132064ab44f2682">GetOperandValueReadOnlyAddress</a>(*operand, model, data);</div> +<div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  <span class="keywordflow">if</span> (!valueAddress)</div> +<div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  {</div> +<div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  }</div> +<div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  </div> +<div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  <span class="keywordflow">return</span> *(<span class="keyword">static_cast<</span><span class="keyword">const </span><span class="keywordtype">bool</span>*<span class="keyword">></span>(valueAddress));</div> +<div class="line"><a name="l00923"></a><span class="lineno"> 923</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00643">GetInputOperand()</a>, and <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00777">GetOperandValueReadOnlyAddress()</a>.</p> + +</div> +</div> +<a id="acfe37581bc8296b5d4cdb311b1e3f142"></a> +<h2 class="memtitle"><span class="permalink"><a href="#acfe37581bc8296b5d4cdb311b1e3f142">◆ </a></span>GetOptionalConvolutionDilationParams()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool armnn_driver::GetOptionalConvolutionDilationParams </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>dilationXIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">ConvolutionDescriptor & </td> + <td class="paramname"><em>descriptor</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</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="_conversion_utils_8hpp_source.xhtml#l00874">874</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00879"></a><span class="lineno"> 879</span> {</div> +<div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  <span class="keywordtype">bool</span> success = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  <span class="keywordflow">if</span> (operation.inputs.size() >= dilationXIndex + 2)</div> +<div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  {</div> +<div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  success &= <a class="code" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation,</div> +<div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  dilationXIndex,</div> +<div class="line"><a name="l00885"></a><span class="lineno"> 885</span>  OperandType::INT32,</div> +<div class="line"><a name="l00886"></a><span class="lineno"> 886</span>  descriptor.m_DilationX,</div> +<div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  model,</div> +<div class="line"><a name="l00888"></a><span class="lineno"> 888</span>  data);</div> +<div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  success &= <a class="code" href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation,</div> +<div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  dilationXIndex + 1,</div> +<div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  OperandType::INT32,</div> +<div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  descriptor.m_DilationY,</div> +<div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  model,</div> +<div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  data);</div> +<div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  }</div> +<div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  </div> +<div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  <span class="keywordflow">return</span> success;</div> +<div class="line"><a name="l00898"></a><span class="lineno"> 898</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00742">GetInputScalar()</a>.</p> + +</div> +</div> +<a id="acd62ec697055015572a6ba61eaba4f1a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#acd62ec697055015572a6ba61eaba4f1a">◆ </a></span>GetOptionalInputActivation()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool armnn_driver::GetOptionalInputActivation </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>inputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">ActivationFn & </td> + <td class="paramname"><em>activationFunction</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</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">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00853">853</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00858"></a><span class="lineno"> 858</span> {</div> +<div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  <span class="keywordflow">if</span> (operation.inputs.size() <= inputIndex)</div> +<div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  {</div> +<div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  activationFunction = ActivationFn::kActivationNone;</div> +<div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  }</div> +<div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  {</div> +<div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn__driver.xhtml#ac092fff5c81f7938eea9a2479f014c66">GetInputActivationFunction</a>(operation, inputIndex, activationFunction, model, data))</div> +<div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  {</div> +<div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: Operation has invalid inputs"</span>, __func__);</div> +<div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  }</div> +<div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  }</div> +<div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l00871"></a><span class="lineno"> 871</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00823">GetInputActivationFunction()</a>.</p> + +</div> +</div> +<a id="a5890dee5ebd8c09d4b3787136d8170d8"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5890dee5ebd8c09d4b3787136d8170d8">◆ </a></span>GetOutputOperand()</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="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* armnn_driver::GetOutputOperand </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>outputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</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">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00662">662</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00665"></a><span class="lineno"> 665</span> {</div> +<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="keywordflow">if</span> (outputIndex >= operation.outputs.size())</div> +<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  {</div> +<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  Fail(<span class="stringliteral">"%s: invalid output index: %i out of %i"</span>, __func__, outputIndex, operation.outputs.size());</div> +<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  }</div> +<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  </div> +<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <span class="comment">// Model should have been validated beforehand</span></div> +<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(operation.outputs[outputIndex] < <a class="code" href="_conversion_utils_8hpp.xhtml#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a>(model).operands.size());</div> +<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  </div> +<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="keywordflow">return</span> &<a class="code" href="_conversion_utils_8hpp.xhtml#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a>(model).operands[operation.outputs[outputIndex]];</div> +<div class="line"><a name="l00676"></a><span class="lineno"> 676</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00014">ARMNN_ASSERT</a>, and <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00028">getMainModel()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00380">ConvertPooling2d()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00508">ConvertReduce()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00592">ConvertToActivation()</a>, and <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00963">SetupAndTrackLayerOutputSlot()</a>.</p> + +</div> +</div> +<a id="a93f4874062e34819806d36b74c73dc61"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a93f4874062e34819806d36b74c73dc61">◆ </a></span>GetTensorInfoForOperand()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> GetTensorInfoForOperand </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> & </td> + <td class="paramname"><em>operand</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00097">97</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> {</div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a>;</div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordtype">bool</span> perChannel = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordtype">bool</span> isScalar = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  </div> +<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> type;</div> +<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">switch</span> (operand.type)</div> +<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  {</div> +<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">case</span> OperandType::TENSOR_BOOL8:</div> +<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  type = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>;</div> +<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">case</span> OperandType::TENSOR_FLOAT32:</div> +<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  type = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>;</div> +<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">case</span> OperandType::TENSOR_FLOAT16:</div> +<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  type = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>;</div> +<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">case</span> OperandType::TENSOR_QUANT8_ASYMM:</div> +<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  type = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>;</div> +<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">case</span> OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL:</div> +<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  perChannel=<span class="keyword">true</span>;</div> +<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="_utils_8hpp.xhtml#abbf421eb1186af0d505648ed2ea54a00">ARMNN_FALLTHROUGH</a>;</div> +<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">case</span> OperandType::TENSOR_QUANT8_SYMM:</div> +<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  type = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>;</div> +<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">case</span> OperandType::TENSOR_QUANT16_SYMM:</div> +<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  type = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>;</div> +<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">case</span> OperandType::TENSOR_INT32:</div> +<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  type = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>;</div> +<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">case</span> OperandType::INT32:</div> +<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  type = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>;</div> +<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  isScalar = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordflow">case</span> OperandType::TENSOR_QUANT8_ASYMM_SIGNED:</div> +<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  type = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>;</div> +<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">default</span>:</div> +<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">throw</span> UnsupportedOperand<OperandType>(operand.type);</div> +<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  }</div> +<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  </div> +<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> ret;</div> +<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordflow">if</span> (isScalar)</div> +<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  {</div> +<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  ret = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>(<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a>), type);</div> +<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  }</div> +<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  {</div> +<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">if</span> (operand.dimensions.size() == 0)</div> +<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  {</div> +<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> tensorShape(<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">Dimensionality::NotSpecified</a>);</div> +<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  ret = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>(tensorShape, type);</div> +<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  }</div> +<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  {</div> +<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordtype">bool</span> dimensionsSpecificity[5] = { <span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">true</span>, <span class="keyword">true</span> };</div> +<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordtype">int</span> count = 0;</div> +<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  std::for_each(operand.dimensions.data(),</div> +<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  operand.dimensions.data() + operand.dimensions.size(),</div> +<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  [&](<span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> val)</div> +<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  {</div> +<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  if (val == 0)</div> +<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  {</div> +<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  dimensionsSpecificity[count] = false;</div> +<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  }</div> +<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  count++;</div> +<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  });</div> +<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  </div> +<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> tensorShape(operand.dimensions.size(), operand.dimensions.data(), dimensionsSpecificity);</div> +<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  ret = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>(tensorShape, type);</div> +<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  }</div> +<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  }</div> +<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  </div> +<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">if</span> (perChannel)</div> +<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  {</div> +<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="comment">// ExtraParams is expected to be of type channelQuant</span></div> +<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">const</span> <span class="keyword">auto</span>& perAxisQuantParams = std::get<Operand::SymmPerChannelQuantParams>(operand.extraParams);</div> +<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  </div> +<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  ret.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a1a8675f9d64c3fb59e6af15362bb6332">SetQuantizationScales</a>(perAxisQuantParams.scales);</div> +<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  ret.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a519efe8ff6dc3aacdfe8a999415e3e4e">SetQuantizationDim</a>(MakeOptional<unsigned int>(perAxisQuantParams.channelDim));</div> +<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  }</div> +<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  {</div> +<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  ret.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(operand.scale);</div> +<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  ret.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(operand.zeroPoint);</div> +<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  }</div> +<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordflow">return</span> ret;</div> +<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_utils_8hpp_source.xhtml#l00035">ARMNN_FALLTHROUGH</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, <a class="el" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Scalar</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00154">ConvertOperandToConstTensorPin()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00380">ConvertPooling2d()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00508">ConvertReduce()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00592">ConvertToActivation()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00204">ConvertToLayerInputHandle()</a>, and <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00963">SetupAndTrackLayerOutputSlot()</a>.</p> + +</div> +</div> +<a id="ac8643aaee3eafc54336c5462b51bd53f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac8643aaee3eafc54336c5462b51bd53f">◆ </a></span>GetTensorInt32Values()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool GetTensorInt32Values </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> & </td> + <td class="paramname"><em>operand</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::vector< int32_t > & </td> + <td class="paramname"><em>outValues</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</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="_conversion_utils_8cpp_source.xhtml#l00822">822</a> of file <a class="el" href="_conversion_utils_8cpp_source.xhtml">ConversionUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00826"></a><span class="lineno"> 826</span> {</div> +<div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  <span class="keywordflow">if</span> (operand.type != OperandType::TENSOR_INT32)</div> +<div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  {</div> +<div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  VLOG(DRIVER) << __func__ << <span class="stringliteral">": invalid operand type: "</span> << operand.type;</div> +<div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  }</div> +<div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  </div> +<div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  <span class="keyword">const</span> <span class="keywordtype">void</span>* startAddress = <a class="code" href="namespacearmnn__driver.xhtml#a8d20245b5ca3cbb0b132064ab44f2682">GetOperandValueReadOnlyAddress</a>(operand, model, data);</div> +<div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  <span class="keywordflow">if</span> (!startAddress)</div> +<div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  {</div> +<div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  VLOG(DRIVER) << __func__ << <span class="stringliteral">": failed to get operand address "</span> << operand.type;</div> +<div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  }</div> +<div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  </div> +<div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  <span class="comment">// Check number of bytes is sensible</span></div> +<div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  <span class="keyword">const</span> uint32_t numBytes = operand.location.length;</div> +<div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  <span class="keywordflow">if</span> (numBytes % <span class="keyword">sizeof</span>(int32_t) != 0)</div> +<div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  {</div> +<div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: invalid number of bytes: %i, expected to be a multiple of %i"</span>,</div> +<div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  __func__, numBytes, <span class="keyword">sizeof</span>(int32_t));</div> +<div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  }</div> +<div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  </div> +<div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  outValues.resize(numBytes / <span class="keyword">sizeof</span>(int32_t));</div> +<div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  memcpy(outValues.data(), startAddress, numBytes);</div> +<div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l00851"></a><span class="lineno"> 851</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00777">GetOperandValueReadOnlyAddress()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00338">ConvertPaddings()</a>, and <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00508">ConvertReduce()</a>.</p> + +</div> +</div> +<a id="a7bf2bd59bc8ca21e0dd906044bfc2faf"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a7bf2bd59bc8ca21e0dd906044bfc2faf">◆ </a></span>IsConnectedToDequantize()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsConnectedToDequantize </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a> * </td> + <td class="paramname"><em>ioutputSlot</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8cpp_source.xhtml#l01040">1040</a> of file <a class="el" href="_conversion_utils_8cpp_source.xhtml">ConversionUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span> {</div> +<div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  VLOG(DRIVER) << <span class="stringliteral">"ConversionUtils::IsConnectedToDequantize()"</span>;</div> +<div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  <span class="keywordflow">if</span> (!ioutputSlot)</div> +<div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  {</div> +<div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>  }</div> +<div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  VLOG(DRIVER) << <span class="stringliteral">"ConversionUtils::IsConnectedToDequantize() ioutputSlot is valid."</span>;</div> +<div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  <span class="comment">// Find the connections and layers..</span></div> +<div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>& owningLayer = ioutputSlot-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a22b3f11f56aa924c0c1b6ee4d6cc90e1">GetOwningIConnectableLayer</a>();</div> +<div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  <span class="keywordflow">if</span> (owningLayer.<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#adceb04ae84c524e4d01881e3754a4d59">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::LayerType::Dequantize</a>)</div> +<div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  {</div> +<div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>  VLOG(DRIVER) << <span class="stringliteral">"ConversionUtils::IsConnectedToDequantize() connected to Dequantize Layer."</span>;</div> +<div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  <a class="code" href="classarmnn_1_1_i_input_slot.xhtml">armnn::IInputSlot</a>& inputSlot = owningLayer.<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0);</div> +<div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>* connection = inputSlot.<a class="code" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>();</div> +<div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  <span class="keywordflow">if</span> (connection)</div> +<div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  {</div> +<div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  VLOG(DRIVER) << <span class="stringliteral">"ConversionUtils::IsConnectedToDequantize() Dequantize Layer has a connection."</span>;</div> +<div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>& connectedLayer =</div> +<div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  connection-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a22b3f11f56aa924c0c1b6ee4d6cc90e1">GetOwningIConnectableLayer</a>();</div> +<div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  <span class="keywordflow">if</span> (connectedLayer.<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#adceb04ae84c524e4d01881e3754a4d59">GetType</a>() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a>)</div> +<div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  {</div> +<div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  VLOG(DRIVER) << <span class="stringliteral">"ConversionUtils::IsConnectedToDequantize() Dequantize Layer connected to Constant"</span>;</div> +<div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l01064"></a><span class="lineno"> 1064</span>  }</div> +<div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>  }</div> +<div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  }</div> +<div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01068"></a><span class="lineno"> 1068</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::Constant</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::Dequantize</a>, <a class="el" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">IInputSlot::GetConnection()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a22b3f11f56aa924c0c1b6ee4d6cc90e1">IOutputSlot::GetOwningIConnectableLayer()</a>, and <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#adceb04ae84c524e4d01881e3754a4d59">IConnectableLayer::GetType()</a>.</p> + +</div> +</div> +<a id="a208149d5c08f84debf8b265bb508fe02"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a208149d5c08f84debf8b265bb508fe02">◆ </a></span>IsDynamicTensor()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsDynamicTensor </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & </td> + <td class="paramname"><em>tensorInfo</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Checks if a tensor info represents a dynamic tensor. </p> + +<p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00486">486</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00487"></a><span class="lineno"> 487</span> {</div> +<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <span class="keywordflow">if</span> (tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a>() == <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a>)</div> +<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  {</div> +<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  }</div> +<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="comment">// Account for the usage of the TensorShape empty constructor</span></div> +<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="keywordflow">if</span> (tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 0)</div> +<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  {</div> +<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  }</div> +<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="keywordflow">return</span> !tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#acccb75bd1d68a81f6ddd61687f51c5a1">AreAllDimensionsSpecified</a>();</div> +<div class="line"><a name="l00498"></a><span class="lineno"> 498</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_tensor_8cpp_source.xhtml#l00241">TensorShape::AreAllDimensionsSpecified()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00092">TensorShape::GetDimensionality()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00195">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00191">TensorInfo::GetShape()</a>, and <a class="el" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::NotSpecified</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00380">ConvertPooling2d()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00508">ConvertReduce()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00592">ConvertToActivation()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00204">ConvertToLayerInputHandle()</a>, and <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00963">SetupAndTrackLayerOutputSlot()</a>.</p> + +</div> +</div> +<a id="a9ddfceb499ef7b3d01053399bc79b852"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9ddfceb499ef7b3d01053399bc79b852">◆ </a></span>IsOperandConstant()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool armnn_driver::IsOperandConstant </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> & </td> + <td class="paramname"><em>operand</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="_conversion_utils_8hpp_source.xhtml#l00698">698</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00699"></a><span class="lineno"> 699</span> {</div> +<div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <a class="code" href="namespacearmnn__driver.xhtml#a275cd95635b854a80bb33f171d861ddc">OperandLifeTime</a> lifetime = operand.lifetime;</div> +<div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  </div> +<div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <span class="keywordflow">return</span> lifetime == OperandLifeTime::CONSTANT_COPY ||</div> +<div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  lifetime == OperandLifeTime::CONSTANT_REFERENCE ||</div> +<div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  lifetime == OperandLifeTime::POINTER ||</div> +<div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  lifetime == OperandLifeTime::NO_VALUE;</div> +<div class="line"><a name="l00706"></a><span class="lineno"> 706</span> }</div> +</div><!-- fragment --> +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00154">ConvertOperandToConstTensorPin()</a>, and <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00648">DequantizeIfRequired()</a>.</p> + +</div> +</div> +<a id="a267f6b68937e2126b6ca890a6b11ea9c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a267f6b68937e2126b6ca890a6b11ea9c">◆ </a></span>IsQSymm8()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname">bool armnn_driver::IsQSymm8 </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> & </td> + <td class="paramname"><em>operand</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="_conversion_utils_8hpp_source.xhtml#l01002">1002</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span> {</div> +<div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  <span class="keywordflow">return</span> operand.type == OperandType::TENSOR_QUANT8_SYMM;</div> +<div class="line"><a name="l01005"></a><span class="lineno"> 1005</span> }</div> +</div><!-- fragment --> +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00648">DequantizeIfRequired()</a>.</p> + +</div> +</div> +<a id="ab3c135a0d4b1152f6b989ea6afddd6bc"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab3c135a0d4b1152f6b989ea6afddd6bc">◆ </a></span>isQuantizedOperand()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool isQuantizedOperand </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a> & </td> + <td class="paramname"><em>operandType</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00505">505</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00506"></a><span class="lineno"> 506</span> {</div> +<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keywordflow">if</span> (operandType == OperandType::TENSOR_QUANT8_ASYMM ||</div> +<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  operandType == OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL ||</div> +<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  operandType == OperandType::TENSOR_QUANT8_SYMM ||</div> +<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  operandType == OperandType::TENSOR_QUANT16_SYMM ||</div> +<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  operandType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED)</div> +<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  {</div> +<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  }</div> +<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  {</div> +<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  }</div> +<div class="line"><a name="l00519"></a><span class="lineno"> 519</span> }</div> +</div><!-- fragment --> +</div> +</div> +<a id="a56e87ad879b142327b822beff44ca171"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a56e87ad879b142327b822beff44ca171">◆ </a></span>IsWeightsValid()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsWeightsValid </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>inputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Utility functions. </p> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00134">134</a> of file <a class="el" href="_conversion_utils_8cpp_source.xhtml">ConversionUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> {</div> +<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* operand = <a class="code" href="namespacearmnn__driver.xhtml#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, inputIndex, model);</div> +<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">if</span> (!operand)</div> +<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  {</div> +<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  Fail(<span class="stringliteral">"%s: failed to get input operand %i"</span>, __func__, inputIndex);</div> +<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  }</div> +<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  </div> +<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordflow">if</span> (operand->lifetime != OperandLifeTime::CONSTANT_COPY</div> +<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  && operand->lifetime != OperandLifeTime::CONSTANT_REFERENCE</div> +<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  && operand->lifetime != OperandLifeTime::NO_VALUE)</div> +<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  {</div> +<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  }</div> +<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l00152"></a><span class="lineno"> 152</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00643">GetInputOperand()</a>.</p> + +</div> +</div> +<a id="a3f3a756df9dee4b33566cddd786b83c9"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3f3a756df9dee4b33566cddd786b83c9">◆ </a></span>OptionalDataLayout()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> OptionalDataLayout </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>inputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</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="_conversion_utils_8cpp_source.xhtml#l00853">853</a> of file <a class="el" href="_conversion_utils_8cpp_source.xhtml">ConversionUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00857"></a><span class="lineno"> 857</span> {</div> +<div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* operand = <a class="code" href="namespacearmnn__driver.xhtml#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, inputIndex, model);</div> +<div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  <span class="keywordflow">if</span> (!operand)</div> +<div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  {</div> +<div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>;</div> +<div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  }</div> +<div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  </div> +<div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  <span class="keywordflow">if</span> (!IsBool(*operand))</div> +<div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  {</div> +<div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>;</div> +<div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  }</div> +<div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  </div> +<div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  <span class="keyword">const</span> <span class="keywordtype">void</span>* valueAddress = <a class="code" href="namespacearmnn__driver.xhtml#a8d20245b5ca3cbb0b132064ab44f2682">GetOperandValueReadOnlyAddress</a>(*operand, model, data);</div> +<div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  <span class="keywordflow">if</span> (!valueAddress)</div> +<div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  {</div> +<div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>;</div> +<div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  }</div> +<div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  </div> +<div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  <span class="keywordflow">if</span> (*(<span class="keyword">static_cast<</span><span class="keyword">const </span><span class="keywordtype">bool</span>*<span class="keyword">></span>(valueAddress)))</div> +<div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  {</div> +<div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>;</div> +<div class="line"><a name="l00878"></a><span class="lineno"> 878</span>  }</div> +<div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00880"></a><span class="lineno"> 880</span>  {</div> +<div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>;</div> +<div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  }</div> +<div class="line"><a name="l00883"></a><span class="lineno"> 883</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00643">GetInputOperand()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00777">GetOperandValueReadOnlyAddress()</a>, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>, and <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00380">ConvertPooling2d()</a>.</p> + +</div> +</div> +<a id="aac972ee73e8bd2374bc40ab844a7d894"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aac972ee73e8bd2374bc40ab844a7d894">◆ </a></span>ProcessActivation()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a> * ProcessActivation </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & </td> + <td class="paramname"><em>tensorInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">ActivationFn </td> + <td class="paramname"><em>activation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a> * </td> + <td class="paramname"><em>prevLayer</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</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="_conversion_utils_8cpp_source.xhtml#l00885">885</a> of file <a class="el" href="_conversion_utils_8cpp_source.xhtml">ConversionUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00889"></a><span class="lineno"> 889</span> {</div> +<div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(prevLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>() == 1);</div> +<div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  </div> +<div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  prevLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(tensorInfo);</div> +<div class="line"><a name="l00893"></a><span class="lineno"> 893</span>  </div> +<div class="line"><a name="l00894"></a><span class="lineno"> 894</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* activationLayer = prevLayer;</div> +<div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  </div> +<div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <span class="keywordflow">if</span> (activation != ActivationFn::kActivationNone)</div> +<div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  {</div> +<div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a> activationDesc;</div> +<div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  <span class="keywordflow">switch</span> (activation)</div> +<div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  {</div> +<div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  <span class="keywordflow">case</span> ActivationFn::kActivationRelu:</div> +<div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  {</div> +<div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a>;</div> +<div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  }</div> +<div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  <span class="keywordflow">case</span> ActivationFn::kActivationRelu1:</div> +<div class="line"><a name="l00907"></a><span class="lineno"> 907</span>  {</div> +<div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a>;</div> +<div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div> +<div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div> +<div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  }</div> +<div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  <span class="keywordflow">case</span> ActivationFn::kActivationRelu6:</div> +<div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  {</div> +<div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a>;</div> +<div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 6.0f;</div> +<div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  }</div> +<div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <span class="keywordflow">case</span> ActivationFn::kActivationSigmoid:</div> +<div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  {</div> +<div class="line"><a name="l00921"></a><span class="lineno"> 921</span>  activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a>;</div> +<div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00923"></a><span class="lineno"> 923</span>  }</div> +<div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  <span class="keywordflow">case</span> ActivationFn::kActivationTanh:</div> +<div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  {</div> +<div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a>;</div> +<div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div> +<div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = 1.0f;</div> +<div class="line"><a name="l00929"></a><span class="lineno"> 929</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  }</div> +<div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  <span class="keywordflow">default</span>:</div> +<div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  {</div> +<div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  Fail(<span class="stringliteral">"%s: Invalid activation enum value %i"</span>, __func__, activation);</div> +<div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00935"></a><span class="lineno"> 935</span>  }</div> +<div class="line"><a name="l00936"></a><span class="lineno"> 936</span>  }</div> +<div class="line"><a name="l00937"></a><span class="lineno"> 937</span>  </div> +<div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  <span class="keywordtype">bool</span> isSupported = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  <a class="code" href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a> setBackend;</div> +<div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  <a class="code" href="_conversion_utils_8hpp.xhtml#a00e2c074a81ec0d41495ed9287dcc542">FORWARD_LAYER_SUPPORT_FUNC</a>(__func__,</div> +<div class="line"><a name="l00941"></a><span class="lineno"> 941</span>  <a class="code" href="namespacearmnn.xhtml#a6e7dc8639c4b2f0a93031afff5182735">IsActivationSupported</a>,</div> +<div class="line"><a name="l00942"></a><span class="lineno"> 942</span>  data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#af3239731a47cf4c08a040c42ee855edc">m_Backends</a>,</div> +<div class="line"><a name="l00943"></a><span class="lineno"> 943</span>  isSupported,</div> +<div class="line"><a name="l00944"></a><span class="lineno"> 944</span>  setBackend,</div> +<div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  prevLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>(),</div> +<div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  tensorInfo,</div> +<div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  activationDesc);</div> +<div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  <span class="keywordflow">if</span> (!isSupported)</div> +<div class="line"><a name="l00949"></a><span class="lineno"> 949</span>  {</div> +<div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  }</div> +<div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  </div> +<div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  activationLayer = data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a>->AddActivationLayer(activationDesc);</div> +<div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  activationLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a99cc75f524d831824c5f3730a88e9ca3">SetBackendId</a>(setBackend);</div> +<div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  </div> +<div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  prevLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(activationLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div> +<div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  activationLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(tensorInfo);</div> +<div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  }</div> +<div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  </div> +<div class="line"><a name="l00960"></a><span class="lineno"> 960</span>  <span class="keywordflow">return</span> activationLayer;</div> +<div class="line"><a name="l00961"></a><span class="lineno"> 961</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00014">ARMNN_ASSERT</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">IOutputSlot::Connect()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00153">FORWARD_LAYER_SUPPORT_FUNC</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">IConnectableLayer::GetNumOutputSlots()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer::GetOutputSlot()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</a>, <a class="el" href="namespacearmnn.xhtml#a6e7dc8639c4b2f0a93031afff5182735">armnn::IsActivationSupported()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00061">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00063">ActivationDescriptor::m_B</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00059">ConversionData::m_Backends</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00059">ActivationDescriptor::m_Function</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00060">ConversionData::m_Network</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a99cc75f524d831824c5f3730a88e9ca3">IConnectableLayer::SetBackendId()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">IOutputSlot::SetTensorInfo()</a>, <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::Sigmoid</a>, and <a class="el" href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::TanH</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00963">SetupAndTrackLayerOutputSlot()</a>.</p> + +</div> +</div> +<a id="a3d30e31a46482fbc714fc34e0d5a1c90"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3d30e31a46482fbc714fc34e0d5a1c90">◆ </a></span>RenameExportedFiles()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">void RenameExportedFiles </td> + <td>(</td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>existingSerializedFileName</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>existingDotFileName</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>dumpDir</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> </td> + <td class="paramname"><em>networkId</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="_canonical_utils_8cpp_source.xhtml#l00575">575</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00579"></a><span class="lineno"> 579</span> {</div> +<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <span class="keywordflow">if</span> (dumpDir.empty())</div> +<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  {</div> +<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <span class="keywordflow">return</span>;</div> +<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  }</div> +<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <a class="code" href="namespacearmnn__driver.xhtml#a00b317cd97319ac7b6a248a768ceb201">RenameFile</a>(existingSerializedFileName, std::string(<span class="stringliteral">"_network.armnn"</span>), dumpDir, networkId);</div> +<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <a class="code" href="namespacearmnn__driver.xhtml#a00b317cd97319ac7b6a248a768ceb201">RenameFile</a>(existingDotFileName, std::string(<span class="stringliteral">"_networkgraph.dot"</span>), dumpDir, networkId);</div> +<div class="line"><a name="l00586"></a><span class="lineno"> 586</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00588">RenameFile()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_armnn_driver_impl_8cpp_source.xhtml#l00099">ArmnnDriverImpl::PrepareArmnnModel()</a>.</p> + +</div> +</div> +<a id="a00b317cd97319ac7b6a248a768ceb201"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a00b317cd97319ac7b6a248a768ceb201">◆ </a></span>RenameFile()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">void RenameFile </td> + <td>(</td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>existingName</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>extension</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>dumpDir</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> </td> + <td class="paramname"><em>networkId</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="_canonical_utils_8cpp_source.xhtml#l00588">588</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00592"></a><span class="lineno"> 592</span> {</div> +<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="keywordflow">if</span> (existingName.empty() || dumpDir.empty())</div> +<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  {</div> +<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="keywordflow">return</span>;</div> +<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  }</div> +<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  </div> +<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  fs::path dumpPath = dumpDir;</div> +<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  <span class="keyword">const</span> fs::path newFileName = dumpPath / (std::to_string(networkId) + extension);</div> +<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <span class="keywordtype">int</span> iRet = rename(existingName.c_str(), newFileName.c_str());</div> +<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="keywordflow">if</span> (iRet != 0)</div> +<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  {</div> +<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  std::stringstream ss;</div> +<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  ss << <span class="stringliteral">"rename of ["</span> << existingName << <span class="stringliteral">"] to ["</span> << newFileName << <span class="stringliteral">"] failed with errno "</span></div> +<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  << std::to_string(errno) << <span class="stringliteral">" : "</span> << std::strerror(errno);</div> +<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  VLOG(DRIVER) << ss.str().c_str();</div> +<div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  }</div> +<div class="line"><a name="l00608"></a><span class="lineno"> 608</span> }</div> +</div><!-- fragment --> +<p class="reference">Referenced by <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00575">RenameExportedFiles()</a>.</p> + +</div> +</div> +<a id="a31f074135a3dba97d9baf1dffd0a07fd"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a31f074135a3dba97d9baf1dffd0a07fd">◆ </a></span>SerializeNetwork()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">std::string SerializeNetwork </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_network.xhtml">armnn::INetwork</a> & </td> + <td class="paramname"><em>network</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::string & </td> + <td class="paramname"><em>dumpDir</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::vector< uint8_t > & </td> + <td class="paramname"><em>dataCacheData</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">bool </td> + <td class="paramname"><em>dataCachingActive</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="_canonical_utils_8cpp_source.xhtml#l00427">427</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> {</div> +<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  std::string fileName;</div> +<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keywordtype">bool</span> bSerializeToFile = <span class="keyword">true</span>;</div> +<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="keywordflow">if</span> (dumpDir.empty())</div> +<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  {</div> +<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  bSerializeToFile = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  }</div> +<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  {</div> +<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  std::string timestamp = <a class="code" href="namespacearmnn__driver.xhtml#a419cd7b9bad83f31f6db8ba9a3b9517a">GetFileTimestamp</a>();</div> +<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keywordflow">if</span> (timestamp.empty())</div> +<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  {</div> +<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  bSerializeToFile = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  }</div> +<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  }</div> +<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordflow">if</span> (!bSerializeToFile && !dataCachingActive)</div> +<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  {</div> +<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordflow">return</span> fileName;</div> +<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  }</div> +<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  </div> +<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keyword">auto</span> <a class="code" href="namespacearmnn_serializer.xhtml">serializer</a>(<a class="code" href="classarmnn_serializer_1_1_i_serializer.xhtml#a3c51b5b078572dee02528bfae7202524">armnnSerializer::ISerializer::Create</a>());</div> +<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="comment">// Serialize the Network</span></div> +<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <a class="code" href="namespacearmnn_serializer.xhtml">serializer</a>->Serialize(network);</div> +<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keywordflow">if</span> (dataCachingActive)</div> +<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  {</div> +<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  std::stringstream stream;</div> +<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keyword">auto</span> serialized = <a class="code" href="namespacearmnn_serializer.xhtml">serializer</a>->SaveSerializedToStream(stream);</div> +<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordflow">if</span> (serialized)</div> +<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  {</div> +<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  std::string <span class="keyword">const</span> serializedString{stream.str()};</div> +<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  std::copy(serializedString.begin(),</div> +<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  serializedString.end(),</div> +<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  std::back_inserter(dataCacheData));</div> +<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  }</div> +<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  }</div> +<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  </div> +<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keywordflow">if</span> (bSerializeToFile)</div> +<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  {</div> +<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="comment">// Set the name of the output .armnn file.</span></div> +<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  fs::path dumpPath = dumpDir;</div> +<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  std::string timestamp = <a class="code" href="namespacearmnn__driver.xhtml#a419cd7b9bad83f31f6db8ba9a3b9517a">GetFileTimestamp</a>();</div> +<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  fs::path tempFilePath = dumpPath / (timestamp + <span class="stringliteral">"_network.armnn"</span>);</div> +<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  fileName = tempFilePath.string();</div> +<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  </div> +<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="comment">// Save serialized network to a file</span></div> +<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  std::ofstream serializedFile(fileName, std::ios::out | std::ios::binary);</div> +<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keyword">auto</span> serialized = <a class="code" href="namespacearmnn_serializer.xhtml">serializer</a>->SaveSerializedToStream(serializedFile);</div> +<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="keywordflow">if</span> (!serialized)</div> +<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  {</div> +<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  VLOG(DRIVER) << <span class="stringliteral">"An error occurred when serializing to file %s"</span> << fileName.c_str();</div> +<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  }</div> +<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  }</div> +<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordflow">return</span> fileName;</div> +<div class="line"><a name="l00484"></a><span class="lineno"> 484</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_serializer_8cpp_source.xhtml#l00035">ISerializer::Create()</a>, and <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00555">GetFileTimestamp()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_armnn_driver_impl_8cpp_source.xhtml#l00099">ArmnnDriverImpl::PrepareArmnnModel()</a>.</p> + +</div> +</div> +<a id="a5378da53b59c1c826e6320383ca0257e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5378da53b59c1c826e6320383ca0257e">◆ </a></span>SetupAndTrackLayerOutputSlot() <span class="overload">[1/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool SetupAndTrackLayerOutputSlot </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>operationOutputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a> & </td> + <td class="paramname"><em>layer</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>layerOutputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> * </td> + <td class="paramname"><em>overrideOutputInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::function< void(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &, bool &)> & </td> + <td class="paramname"><em>validateFunc</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const ActivationFn & </td> + <td class="paramname"><em>activationFunction</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">bool </td> + <td class="paramname"><em>inferOutputShapes</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="_conversion_utils_8cpp_source.xhtml#l00963">963</a> of file <a class="el" href="_conversion_utils_8cpp_source.xhtml">ConversionUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00973"></a><span class="lineno"> 973</span> {</div> +<div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* outputOperand = <a class="code" href="namespacearmnn__driver.xhtml#a5890dee5ebd8c09d4b3787136d8170d8">GetOutputOperand</a>(operation, operationOutputIndex, model);</div> +<div class="line"><a name="l00975"></a><span class="lineno"> 975</span>  <span class="keywordflow">if</span> ((outputOperand == <span class="keyword">nullptr</span>) || (operationOutputIndex >= layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>()))</div> +<div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  {</div> +<div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00978"></a><span class="lineno"> 978</span>  }</div> +<div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  </div> +<div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>& outputSlot = layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(layerOutputIndex);</div> +<div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  <span class="keywordflow">if</span> (overrideOutputInfo == <span class="keyword">nullptr</span>)</div> +<div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  {</div> +<div class="line"><a name="l00983"></a><span class="lineno"> 983</span>  outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(<a class="code" href="namespacearmnn__driver.xhtml#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(*outputOperand));</div> +<div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  }</div> +<div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  {</div> +<div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(*overrideOutputInfo);</div> +<div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  }</div> +<div class="line"><a name="l00989"></a><span class="lineno"> 989</span>  </div> +<div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  <span class="keywordtype">bool</span> isSupported = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00991"></a><span class="lineno"> 991</span>  <span class="keywordflow">if</span> (validateFunc && (<a class="code" href="namespacearmnn__driver.xhtml#a208149d5c08f84debf8b265bb508fe02">IsDynamicTensor</a>(outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>()) || inferOutputShapes))</div> +<div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  {</div> +<div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  <span class="comment">// Type one dynamic tensors require the previous layer's output shape for inference</span></div> +<div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputSlotIndex = 0; inputSlotIndex < layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>(); ++inputSlotIndex)</div> +<div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  {</div> +<div class="line"><a name="l00996"></a><span class="lineno"> 996</span>  <span class="keywordflow">if</span>(!layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(inputSlotIndex).<a class="code" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>())</div> +<div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  {</div> +<div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l00999"></a><span class="lineno"> 999</span>  }</div> +<div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  }</div> +<div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  <span class="comment">// IsTensorInfoSet will infer the dynamic output shape</span></div> +<div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ab4e57caf059794897b17266090ebcb39">IsTensorInfoSet</a>();</div> +<div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  <span class="comment">// Once the shape is inferred we can validate it</span></div> +<div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  validateFunc(outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>(), isSupported);</div> +<div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  </div> +<div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  <span class="keywordflow">if</span>(!isSupported)</div> +<div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  {</div> +<div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputSlotIndex = 0; inputSlotIndex < layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>(); ++inputSlotIndex)</div> +<div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  {</div> +<div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>  layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(inputSlotIndex).<a class="code" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#ae16a4d0c56ca96e5d61785bd3e3e7992">Disconnect</a>(layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(inputSlotIndex));</div> +<div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  }</div> +<div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> +<div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  }</div> +<div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  }</div> +<div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  </div> +<div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  <span class="keyword">const</span> uint32_t operandIndex = operation.outputs[operationOutputIndex];</div> +<div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>  </div> +<div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>  <span class="keywordflow">if</span> (activationFunction != ActivationFn::kActivationNone)</div> +<div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>  {</div> +<div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& activationOutputInfo = outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>();</div> +<div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* <span class="keyword">const</span> endLayer = <a class="code" href="namespacearmnn__driver.xhtml#aac972ee73e8bd2374bc40ab844a7d894">ProcessActivation</a>(activationOutputInfo, activationFunction,</div> +<div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  &layer, data);</div> +<div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  </div> +<div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>  <span class="keywordflow">if</span> (!endLayer)</div> +<div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>  {</div> +<div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  <span class="keywordflow">return</span> Fail(<span class="stringliteral">"%s: ProcessActivation failed"</span>, __func__);</div> +<div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  }</div> +<div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  </div> +<div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>& activationOutputSlot = endLayer-><a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(layerOutputIndex);</div> +<div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a>[operandIndex] = &activationOutputSlot;</div> +<div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>  }</div> +<div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  {</div> +<div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  data.<a class="code" href="structarmnn__driver_1_1_conversion_data.xhtml#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a>[operandIndex] = &outputSlot;</div> +<div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  }</div> +<div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  </div> +<div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> +<div class="line"><a name="l01038"></a><span class="lineno"> 1038</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#ae16a4d0c56ca96e5d61785bd3e3e7992">IOutputSlot::Disconnect()</a>, <a class="el" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">IInputSlot::GetConnection()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">IConnectableLayer::GetNumInputSlots()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">IConnectableLayer::GetNumOutputSlots()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00662">GetOutputOperand()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer::GetOutputSlot()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</a>, <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00097">GetTensorInfoForOperand()</a>, <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00486">IsDynamicTensor()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#ab4e57caf059794897b17266090ebcb39">IOutputSlot::IsTensorInfoSet()</a>, <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00061">ConversionData::m_OutputSlotForOperand</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00885">ProcessActivation()</a>, and <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">IOutputSlot::SetTensorInfo()</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00380">ConvertPooling2d()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00508">ConvertReduce()</a>, <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00592">ConvertToActivation()</a>, and <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00959">SetupAndTrackLayerOutputSlot()</a>.</p> + +</div> +</div> +<a id="ad8f11d121a42a43f14c18bdb10f14b9e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad8f11d121a42a43f14c18bdb10f14b9e">◆ </a></span>SetupAndTrackLayerOutputSlot() <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">bool armnn_driver::SetupAndTrackLayerOutputSlot </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#ad3a9c1424b37970a54624f514196b985">Operation</a> & </td> + <td class="paramname"><em>operation</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">uint32_t </td> + <td class="paramname"><em>outputIndex</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a> & </td> + <td class="paramname"><em>layer</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="namespacearmnn__driver.xhtml#a923b39ec5f83672f50289cbaf5de6798">Model</a> & </td> + <td class="paramname"><em>model</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_conversion_data.xhtml">ConversionData</a> & </td> + <td class="paramname"><em>data</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> * </td> + <td class="paramname"><em>overrideOutputInfo</em> = <code>nullptr</code>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::function< void(const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &, bool &)> & </td> + <td class="paramname"><em>validateFunc</em> = <code>nullptr</code>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const ActivationFn & </td> + <td class="paramname"><em>activationFunction</em> = <code>ActivationFn::kActivationNone</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">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.xhtml#l00959">959</a> of file <a class="el" href="_conversion_utils_8hpp_source.xhtml">ConversionUtils.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00968"></a><span class="lineno"> 968</span> {</div> +<div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.xhtml#ad8f11d121a42a43f14c18bdb10f14b9e">SetupAndTrackLayerOutputSlot</a>(operation,</div> +<div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  outputIndex,</div> +<div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  layer,</div> +<div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  outputIndex,</div> +<div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  model,</div> +<div class="line"><a name="l00974"></a><span class="lineno"> 974</span>  data,</div> +<div class="line"><a name="l00975"></a><span class="lineno"> 975</span>  overrideOutputInfo,</div> +<div class="line"><a name="l00976"></a><span class="lineno"> 976</span>  validateFunc,</div> +<div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  activationFunction);</div> +<div class="line"><a name="l00978"></a><span class="lineno"> 978</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00963">SetupAndTrackLayerOutputSlot()</a>.</p> + +</div> +</div> +<a id="a5665b88a0b22c6341dd8075048981689"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5665b88a0b22c6341dd8075048981689">◆ </a></span>SwizzleAndroidNn4dTensorToArmNn()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">void SwizzleAndroidNn4dTensorToArmNn </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & </td> + <td class="paramname"><em>tensorInfo</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const void * </td> + <td class="paramname"><em>input</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">void * </td> + <td class="paramname"><em>output</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> & </td> + <td class="paramname"><em>mappings</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Swizzles tensor data in <em>input</em> according to the dimension mappings. </p> + +<p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00040">40</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> {</div> +<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  assert(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 4U);</div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  </div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> dataType = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>();</div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">switch</span> (dataType)</div> +<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  {</div> +<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>:</div> +<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>:</div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div> +<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="comment">// First swizzle tensor info</span></div> +<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  tensorInfo = <a class="code" href="namespacearmnn_utils.xhtml#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a>(tensorInfo, mappings);</div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="comment">// Then swizzle tensor data</span></div> +<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="namespacearmnn_utils.xhtml#af3c74017185773dd61d8ca6662d65d43">armnnUtils::Permute</a>(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), mappings, input, output, <a class="code" href="namespacearmnn.xhtml#aa02b9e06fb20fa3c13da0427e6ee5ab2">armnn::GetDataTypeSize</a>(dataType));</div> +<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">default</span>:</div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  VLOG(DRIVER) << <span class="stringliteral">"Unknown armnn::DataType for swizzling"</span>;</div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  assert(0);</div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  }</div> +<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> }</div> +</div><!-- fragment --> +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00198">TensorInfo::GetDataType()</a>, <a class="el" href="_types_utils_8hpp_source.xhtml#l00169">armnn::GetDataTypeSize()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00195">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00191">TensorInfo::GetShape()</a>, <a class="el" href="_permute_8cpp_source.xhtml#l00131">armnnUtils::Permute()</a>, <a class="el" href="_permute_8cpp_source.xhtml#l00098">armnnUtils::Permuted()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00079">ConstTensorPin::ConstTensorPin()</a>.</p> + +</div> +</div> +<h2 class="groupheader">Variable Documentation</h2> +<a id="ae059aea66ee0867a204aa2f2d9abb42c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae059aea66ee0867a204aa2f2d9abb42c">◆ </a></span>g_DontPermute</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> g_DontPermute {}</td> + </tr> + </table> +</div><div class="memdoc"> + +<p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.xhtml#l00038">38</a> of file <a class="el" href="_canonical_utils_8cpp_source.xhtml">CanonicalUtils.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.xhtml#l00731">DequantizeAndMakeConstTensorPin()</a>.</p> + +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a5890dee5ebd8c09d4b3787136d8170d8"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a5890dee5ebd8c09d4b3787136d8170d8">armnn_driver::GetOutputOperand</a></div><div class="ttdeci">const Operand * GetOutputOperand(const Operation &operation, uint32_t outputIndex, const Model &model)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00662">ConversionUtils.hpp:662</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a267f6b68937e2126b6ca890a6b11ea9c"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a267f6b68937e2126b6ca890a6b11ea9c">armnn_driver::IsQSymm8</a></div><div class="ttdeci">bool IsQSymm8(const Operand &operand)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l01002">ConversionUtils.hpp:1002</a></div></div> +<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Pooling2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00409">Descriptors.hpp:409</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a3ac499dc54900adc7f2613944b583e10"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a3ac499dc54900adc7f2613944b583e10">armnn_driver::GetInputActivationFunctionImpl</a></div><div class="ttdeci">bool GetInputActivationFunctionImpl(const Operation &operation, uint32_t inputIndex, OperandType type, ActivationFn &outActivationFunction, const Model &model, const ConversionData &data)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00800">ConversionUtils.hpp:800</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a10c64daf22426af432d0a9ada03eee5ca6bf179afa8f7fba18cf39bc0ca6fe043"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5ca6bf179afa8f7fba18cf39bc0ca6fe043">armnn_driver::DequantizeStatus::INVALID_OPERAND</a></div><div class="ttdeci">@ INVALID_OPERAND</div></div> +<div class="ttc" id="aclassarmnn_1_1_backend_id_xhtml"><div class="ttname"><a href="classarmnn_1_1_backend_id.xhtml">armnn::BackendId</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.xhtml#l00075">BackendId.hpp:75</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_output_slot_xhtml_a22b3f11f56aa924c0c1b6ee4d6cc90e1"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a22b3f11f56aa924c0c1b6ee4d6cc90e1">armnn::IOutputSlot::GetOwningIConnectableLayer</a></div><div class="ttdeci">virtual const IConnectableLayer & GetOwningIConnectableLayer() const =0</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a></div><div class="ttdeci">@ NotSpecified</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div><div class="ttdeci">@ QAsymmU8</div></div> +<div class="ttc" id="anamespacearmnn_serializer_xhtml"><div class="ttname"><a href="namespacearmnn_serializer.xhtml">armnnSerializer</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_serializer_8hpp_source.xhtml#l00011">ISerializer.hpp:11</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a71975fcec1464d639f1a78f73164d1bd"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a71975fcec1464d639f1a78f73164d1bd">armnn::TensorInfo::SetDataType</a></div><div class="ttdeci">void SetDataType(DataType type)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00199">Tensor.hpp:199</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a10c64daf22426af432d0a9ada03eee5caaf655f85da1fc9b6a348b9893ee6aef7"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5caaf655f85da1fc9b6a348b9893ee6aef7">armnn_driver::DequantizeStatus::NOT_REQUIRED</a></div><div class="ttdeci">@ NOT_REQUIRED</div></div> +<div class="ttc" id="aclassarmnn__driver_1_1_unsupported_operand_xhtml"><div class="ttname"><a href="classarmnn__driver_1_1_unsupported_operand.xhtml">armnn_driver::UnsupportedOperand</a></div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8hpp_source.xhtml#l00027">CanonicalUtils.hpp:27</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_shape_xhtml_a5a212540c00931bd2a4b4041beda33ae"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a5a212540c00931bd2a4b4041beda33ae">armnn::TensorShape::GetDimensionality</a></div><div class="ttdeci">Dimensionality GetDimensionality() const</div><div class="ttdoc">Function that returns the tensor type.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00092">Tensor.hpp:92</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00473">Tensor.cpp:473</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_xhtml_a26794f014974a6f963a8925de07bffeb"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.xhtml#a26794f014974a6f963a8925de07bffeb">armnn::IOptimizedNetwork::SerializeToDot</a></div><div class="ttdeci">Status SerializeToDot(std::ostream &stream) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l00686">Network.cpp:686</a></div></div> +<div class="ttc" id="a_utils_8hpp_xhtml_abbf421eb1186af0d505648ed2ea54a00"><div class="ttname"><a href="_utils_8hpp.xhtml#abbf421eb1186af0d505648ed2ea54a00">ARMNN_FALLTHROUGH</a></div><div class="ttdeci">#define ARMNN_FALLTHROUGH</div><div class="ttdef"><b>Definition:</b> <a href="_utils_8hpp_source.xhtml#l00035">Utils.hpp:35</a></div></div> +<div class="ttc" id="astructarmnn__driver_1_1_conversion_data_xhtml_a4df0c61eb897ecc9271a4a85604066ea"><div class="ttname"><a href="structarmnn__driver_1_1_conversion_data.xhtml#a4df0c61eb897ecc9271a4a85604066ea">armnn_driver::ConversionData::m_OutputSlotForOperand</a></div><div class="ttdeci">std::vector< armnn::IOutputSlot * > m_OutputSlotForOperand</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00061">ConversionUtils.hpp:61</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div><div class="ttdeci">@ Float16</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.xhtml#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">armnn::OutputShapeRounding::Floor</a></div><div class="ttdeci">@ Floor</div></div> +<div class="ttc" id="astructarmnn_1_1_activation_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00036">Descriptors.hpp:36</a></div></div> +<div class="ttc" id="astructarmnn_1_1_reduce_descriptor_xhtml_aa57c67b1da0011b1abb30170146e870f"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml#aa57c67b1da0011b1abb30170146e870f">armnn::ReduceDescriptor::m_ReduceOperation</a></div><div class="ttdeci">ReduceOperation m_ReduceOperation</div><div class="ttdoc">Specifies the reduction operation to execute.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01525">Descriptors.hpp:1525</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00068">INetwork.hpp:68</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_shape_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorShape::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdoc">Function that calculates the tensor elements by multiplying all dimension size which are Specified.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00181">Tensor.cpp:181</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a1f6b85ab26d684241babcde2d659116b"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a1f6b85ab26d684241babcde2d659116b">armnn_driver::ConvertToLayerInputHandle</a></div><div class="ttdeci">LayerInputHandle ConvertToLayerInputHandle(const Operation &operation, uint32_t inputIndex, const Model &model, ConversionData &data, const armnn::PermutationVector &dimensionMappings, const LayerInputHandle *inputHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.xhtml#l00204">ConversionUtils.cpp:204</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a8d20245b5ca3cbb0b132064ab44f2682"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a8d20245b5ca3cbb0b132064ab44f2682">armnn_driver::GetOperandValueReadOnlyAddress</a></div><div class="ttdeci">const void * GetOperandValueReadOnlyAddress(const Operand &operand, const Model &model, const ConversionData &data, bool optional)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.xhtml#l00777">ConversionUtils.cpp:777</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a></div><div class="ttdeci">@ Scalar</div></div> +<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_a5699e8606c37d18c03910b242cd1b010"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">armnn::Pooling2dDescriptor::m_PoolHeight</a></div><div class="ttdeci">uint32_t m_PoolHeight</div><div class="ttdoc">Pooling height value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00405">Descriptors.hpp:405</a></div></div> +<div class="ttc" id="astructarmnn__driver_1_1_conversion_data_xhtml_a094e06eb84b3b80533c0f961f0f472de"><div class="ttname"><a href="structarmnn__driver_1_1_conversion_data.xhtml#a094e06eb84b3b80533c0f961f0f472de">armnn_driver::ConversionData::m_DynamicInputsEncountered</a></div><div class="ttdeci">bool m_DynamicInputsEncountered</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00063">ConversionUtils.hpp:63</a></div></div> +<div class="ttc" id="astructarmnn_1_1_reduce_descriptor_xhtml_aa1c6fc8c96404252f1072632fc5acb59"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml#aa1c6fc8c96404252f1072632fc5acb59">armnn::ReduceDescriptor::m_vAxis</a></div><div class="ttdeci">std::vector< uint32_t > m_vAxis</div><div class="ttdoc">The indices of the dimensions to reduce.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01523">Descriptors.hpp:1523</a></div></div> +<div class="ttc" id="astructarmnn_1_1_reduce_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml">armnn::ReduceDescriptor</a></div><div class="ttdoc">A ReduceDescriptor for the REDUCE operators.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01505">Descriptors.hpp:1505</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a519efe8ff6dc3aacdfe8a999415e3e4e"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a519efe8ff6dc3aacdfe8a999415e3e4e">armnn::TensorInfo::SetQuantizationDim</a></div><div class="ttdeci">void SetQuantizationDim(const Optional< unsigned int > &quantizationDim)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00499">Tensor.cpp:499</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_ac8643aaee3eafc54336c5462b51bd53f"><div class="ttname"><a href="namespacearmnn__driver.xhtml#ac8643aaee3eafc54336c5462b51bd53f">armnn_driver::GetTensorInt32Values</a></div><div class="ttdeci">bool GetTensorInt32Values(const Operand &operand, std::vector< int32_t > &outValues, const Model &model, const ConversionData &data)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.xhtml#l00822">ConversionUtils.cpp:822</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a85d53debffd9611a3b5bc6031afd5073"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a85d53debffd9611a3b5bc6031afd5073">armnn_driver::AreDynamicTensorsSupported</a></div><div class="ttdeci">bool AreDynamicTensorsSupported()</div><div class="ttdoc">Checks for ArmNN support of dynamic tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00500">CanonicalUtils.cpp:500</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div><div class="ttdeci">@ Signed32</div></div> +<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_a0031997bf43bd2747656c31e4977793a"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">armnn::Pooling2dDescriptor::m_PoolType</a></div><div class="ttdeci">PoolingAlgorithm m_PoolType</div><div class="ttdoc">The pooling algorithm to use (Max. Average, L2).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00393">Descriptors.hpp:393</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_ac0532f3c7d143a04aee7f5991ee5d381"><div class="ttname"><a href="namespacearmnn__driver.xhtml#ac0532f3c7d143a04aee7f5991ee5d381">armnn_driver::GetOperandSummary</a></div><div class="ttdeci">std::string GetOperandSummary(const Operand &operand)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00189">CanonicalUtils.cpp:189</a></div></div> +<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::Pooling2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00415">Descriptors.hpp:415</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_xhtml_a80ac4eda2e7f2757ec9dd96fc96dbd16"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">armnn::IConnectableLayer::GetOutputSlot</a></div><div class="ttdeci">virtual const IOutputSlot & GetOutputSlot(unsigned int index) const =0</div><div class="ttdoc">Get the const output slot handle by slot index.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div><div class="ttdeci">@ QAsymmS8</div></div> +<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::Pooling2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00407">Descriptors.hpp:407</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_output_slot_xhtml_ab4e57caf059794897b17266090ebcb39"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#ab4e57caf059794897b17266090ebcb39">armnn::IOutputSlot::IsTensorInfoSet</a></div><div class="ttdeci">virtual bool IsTensorInfoSet() const =0</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_output_slot_xhtml_ac1835f8756a9f03c02fcf9664e3a0fce"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#ac1835f8756a9f03c02fcf9664e3a0fce">armnn::IOutputSlot::Connect</a></div><div class="ttdeci">virtual int Connect(IInputSlot &destination)=0</div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a8ffca1e21bdfa7f945617acd606aac91"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8ffca1e21bdfa7f945617acd606aac91">armnn::TensorInfo::SetConstant</a></div><div class="ttdeci">void SetConstant(const bool IsConstant=true)</div><div class="ttdoc">Marks the data corresponding to this tensor info as constant.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00514">Tensor.cpp:514</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_aa02b9e06fb20fa3c13da0427e6ee5ab2"><div class="ttname"><a href="namespacearmnn.xhtml#aa02b9e06fb20fa3c13da0427e6ee5ab2">armnn::GetDataTypeSize</a></div><div class="ttdeci">constexpr unsigned int GetDataTypeSize(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.xhtml#l00169">TypesUtils.hpp:169</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_input_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.xhtml">armnn::IInputSlot</a></div><div class="ttdoc">An input connection slot for a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00025">INetwork.hpp:25</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_output_slot_xhtml_ae16a4d0c56ca96e5d61785bd3e3e7992"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#ae16a4d0c56ca96e5d61785bd3e3e7992">armnn::IOutputSlot::Disconnect</a></div><div class="ttdeci">virtual void Disconnect(IInputSlot &slot)=0</div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a1a8675f9d64c3fb59e6af15362bb6332"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a1a8675f9d64c3fb59e6af15362bb6332">armnn::TensorInfo::SetQuantizationScales</a></div><div class="ttdeci">void SetQuantizationScales(const std::vector< float > &scales)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00456">Tensor.cpp:456</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_aa9b4bc8d4cfb04be14771dbb1bc1a1ac"><div class="ttname"><a href="namespacearmnn__driver.xhtml#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">armnn_driver::Operand</a></div><div class="ttdeci">::android::nn::Operand Operand</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00044">ConversionUtils.hpp:44</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_xhtml_a6ec9e0eb66d7d6a01240492a0b18104c"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">armnn::IConnectableLayer::GetInputSlot</a></div><div class="ttdeci">virtual const IInputSlot & GetInputSlot(unsigned int index) const =0</div><div class="ttdoc">Get a const input slot handle by slot index.</div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00489">Tensor.cpp:489</a></div></div> +<div class="ttc" id="anamespacearmnn_utils_xhtml_abeaf4f6785039866fd075f4569ba8e84"><div class="ttname"><a href="namespacearmnn_utils.xhtml#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a></div><div class="ttdeci">armnn::TensorShape Permuted(const armnn::TensorShape &srcShape, const armnn::PermutationVector &mappings)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.xhtml#l00098">Permute.cpp:98</a></div></div> +<div class="ttc" id="astructarmnn__driver_1_1_conversion_data_xhtml_a2db3ae8d422f17d455e0ba0cb6291d2a"><div class="ttname"><a href="structarmnn__driver_1_1_conversion_data.xhtml#a2db3ae8d422f17d455e0ba0cb6291d2a">armnn_driver::ConversionData::m_Network</a></div><div class="ttdeci">armnn::INetworkPtr m_Network</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00060">ConversionUtils.hpp:60</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a8932639a884a3dc698f29d4e8395ba49"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a8932639a884a3dc698f29d4e8395ba49">armnn_driver::DequantizeResult</a></div><div class="ttdeci">std::tuple< std::unique_ptr< float[]>, size_t, armnn::TensorInfo, DequantizeStatus > DequantizeResult</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l01014">ConversionUtils.hpp:1014</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="aclassarmnn__driver_1_1_const_tensor_pin_xhtml"><div class="ttname"><a href="classarmnn__driver_1_1_const_tensor_pin.xhtml">armnn_driver::ConstTensorPin</a></div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00090">ConversionUtils.hpp:90</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_afa2a6d5a1431289c92cea9cceeb174c9ab7d6155514def6898ba4432a82efd28b"><div class="ttname"><a href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9ab7d6155514def6898ba4432a82efd28b">armnn_driver::ConversionResult::ErrorMappingPools</a></div><div class="ttdeci">@ ErrorMappingPools</div></div> +<div class="ttc" id="aclassarmnn__driver_1_1_layer_input_handle_xhtml"><div class="ttname"><a href="classarmnn__driver_1_1_layer_input_handle.xhtml">armnn_driver::LayerInputHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00066">ConversionUtils.hpp:66</a></div></div> +<div class="ttc" id="aclassarmnn_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="anamespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div><div class="ttdeci">@ NCHW</div></div> +<div class="ttc" id="astructarmnn_1_1_pad_descriptor_xhtml_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_PadList</div><div class="ttdoc">Specifies the padding for input dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01185">Descriptors.hpp:1185</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a></div><div class="ttdeci">@ Sigmoid</div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00195">Tensor.hpp:195</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_xhtml_ac2dac3b61c94de52093616be4ab17f8d"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">armnn::IConnectableLayer::GetNumOutputSlots</a></div><div class="ttdeci">virtual unsigned int GetNumOutputSlots() const =0</div><div class="ttdoc">Returns the number of connectable output slots.</div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_aa43f9c81f830559c15e5af86f8e11482"><div class="ttname"><a href="namespacearmnn__driver.xhtml#aa43f9c81f830559c15e5af86f8e11482">armnn_driver::GetInputInt32</a></div><div class="ttdeci">bool GetInputInt32(const Operation &operation, uint32_t inputIndex, int32_t &outValue, const Model &model, const ConversionData &data)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00782">ConversionUtils.hpp:782</a></div></div> +<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#aa9e49717ebdb741e8c767741647fc618">armnn::Pooling2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00401">Descriptors.hpp:401</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a419cd7b9bad83f31f6db8ba9a3b9517a"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a419cd7b9bad83f31f6db8ba9a3b9517a">armnn_driver::GetFileTimestamp</a></div><div class="ttdeci">std::string GetFileTimestamp()</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00555">CanonicalUtils.cpp:555</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_output_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a></div><div class="ttdoc">An output connection slot for a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00041">INetwork.hpp:41</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div> +<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_a6d8fb685cc1ff224f25aa127fcf62c86"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">armnn::Pooling2dDescriptor::m_PoolWidth</a></div><div class="ttdeci">uint32_t m_PoolWidth</div><div class="ttdoc">Pooling width value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00403">Descriptors.hpp:403</a></div></div> +<div class="ttc" id="aclassarmnn__driver_1_1_layer_input_handle_xhtml_a9b63bdf08709bc5302b3c1a9198d06a3"><div class="ttname"><a href="classarmnn__driver_1_1_layer_input_handle.xhtml#a9b63bdf08709bc5302b3c1a9198d06a3">armnn_driver::LayerInputHandle::Connect</a></div><div class="ttdeci">void Connect(armnn::IInputSlot &inputSlot)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.xhtml#l00032">ConversionUtils.cpp:32</a></div></div> +<div class="ttc" id="astructarmnn_1_1_activation_descriptor_xhtml_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH,...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00061">Descriptors.hpp:61</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38"><div class="ttname"><a href="namespacearmnn.xhtml#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a></div><div class="ttdeci">@ Success</div></div> +<div class="ttc" id="aclassarmnn_1_1_i_profiler_xhtml_a038bb767bbc6abc0ee0d9b509616b896"><div class="ttname"><a href="classarmnn_1_1_i_profiler.xhtml#a038bb767bbc6abc0ee0d9b509616b896">armnn::IProfiler::Print</a></div><div class="ttdeci">void Print(std::ostream &outStream) const</div><div class="ttdoc">Print stats for events in JSON Format to the given output stream.</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8cpp_source.xhtml#l00630">Profiling.cpp:630</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a14977f94479f2f7e13bdf915ac8ce8d0"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a14977f94479f2f7e13bdf915ac8ce8d0">armnn_driver::GetInputOperand</a></div><div class="ttdeci">const Operand * GetInputOperand(const Operation &operation, uint32_t inputIndex, const Model &model, bool failOnIndexOutOfBounds=true)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00643">ConversionUtils.hpp:643</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a3512b2f24950886288c5d01df1488f15"><div class="ttname"><a href="namespacearmnn.xhtml#a3512b2f24950886288c5d01df1488f15">armnn::IsInputSupported</a></div><div class="ttdeci">bool IsInputSupported(const BackendId &backend, const TensorInfo &input, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Pooling2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00395">Descriptors.hpp:395</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_aa9ef723ace8562b9636e8387a120fbde"><div class="ttname"><a href="namespacearmnn__driver.xhtml#aa9ef723ace8562b9636e8387a120fbde">armnn_driver::GetInputPaddingScheme</a></div><div class="ttdeci">bool GetInputPaddingScheme(const Operation &operation, uint32_t inputIndex, PaddingScheme &outPaddingScheme, const Model &model, const ConversionData &data)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.xhtml#l00761">ConversionUtils.cpp:761</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a208149d5c08f84debf8b265bb508fe02"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a208149d5c08f84debf8b265bb508fe02">armnn_driver::IsDynamicTensor</a></div><div class="ttdeci">bool IsDynamicTensor(const armnn::TensorInfo &tensorInfo)</div><div class="ttdoc">Checks if a tensor info represents a dynamic tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00486">CanonicalUtils.cpp:486</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div><div class="ttdeci">@ NHWC</div></div> +<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a56b51f56cef50cdfa554258eecdab046">armnn::Pooling2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00399">Descriptors.hpp:399</a></div></div> +<div class="ttc" id="astructarmnn_1_1_activation_descriptor_xhtml_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu,...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00059">Descriptors.hpp:59</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_input_slot_xhtml_a81fbf6103761e55061b62ba989b00f10"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">armnn::IInputSlot::GetConnection</a></div><div class="ttdeci">virtual const IOutputSlot * GetConnection() const =0</div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527"><div class="ttname"><a href="namespacearmnn__driver.xhtml#afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527">armnn_driver::ConversionResult::UnsupportedFeature</a></div><div class="ttdeci">@ UnsupportedFeature</div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a78a9a9f196810df6bc4795568f275c75"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a78a9a9f196810df6bc4795568f275c75">armnn_driver::DequantizeIfRequired</a></div><div class="ttdeci">DequantizeResult DequantizeIfRequired(size_t operand_index, const Operation &operation, const Model &model, const ConversionData &data)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.xhtml#l00648">ConversionUtils.cpp:648</a></div></div> +<div class="ttc" id="aclassarmnn__driver_1_1_layer_input_handle_xhtml_ac532c4b500b1a85ea22217f2c65a70ed"><div class="ttname"><a href="classarmnn__driver_1_1_layer_input_handle.xhtml#ac532c4b500b1a85ea22217f2c65a70ed">armnn_driver::LayerInputHandle::IsValid</a></div><div class="ttdeci">bool IsValid() const</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.xhtml#l00027">ConversionUtils.cpp:27</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_aefa2e47c23dc8faac4b7edb12b5d1c2c"><div class="ttname"><a href="namespacearmnn.xhtml#aefa2e47c23dc8faac4b7edb12b5d1c2c">armnn::IsReduceSupported</a></div><div class="ttdeci">bool IsReduceSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const ReduceDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="aclassarmnn__driver_1_1_unsupported_operand_xhtml_adbccd9c087443cf759711a3e62da9a84"><div class="ttname"><a href="classarmnn__driver_1_1_unsupported_operand.xhtml#adbccd9c087443cf759711a3e62da9a84">armnn_driver::UnsupportedOperand::m_type</a></div><div class="ttdeci">OperandType m_type</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8hpp_source.xhtml#l00035">CanonicalUtils.hpp:35</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_xhtml_a99cc75f524d831824c5f3730a88e9ca3"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a99cc75f524d831824c5f3730a88e9ca3">armnn::IConnectableLayer::SetBackendId</a></div><div class="ttdeci">virtual void SetBackendId(const BackendId &id)=0</div><div class="ttdoc">Set the backend of the IConnectableLayer.</div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_shape_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00174">Tensor.cpp:174</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00048">Types.hpp:48</a></div></div> +<div class="ttc" id="astructarmnn__driver_1_1_conversion_data_xhtml_acb740de896710dbc576f5eaf7a9cfeaa"><div class="ttname"><a href="structarmnn__driver_1_1_conversion_data.xhtml#acb740de896710dbc576f5eaf7a9cfeaa">armnn_driver::ConversionData::m_MemPools</a></div><div class="ttdeci">std::vector<::android::nn::RunTimePoolInfo > m_MemPools</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00062">ConversionUtils.hpp:62</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_af4f2d40a67380e91bd7ed0c1bcc4658f"><div class="ttname"><a href="namespacearmnn.xhtml#af4f2d40a67380e91bd7ed0c1bcc4658f">armnn::IsPooling2dSupported</a></div><div class="ttdeci">bool IsPooling2dSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const Pooling2dDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="a_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_output_slot_xhtml_a5ee4a6c9a2481245487b1b1a70d20fd0"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a5ee4a6c9a2481245487b1b1a70d20fd0">armnn::IOutputSlot::SetTensorInfo</a></div><div class="ttdeci">virtual void SetTensorInfo(const TensorInfo &tensorInfo)=0</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a0d2ad1212c8773f36160ef6e5e7db61f"><div class="ttname"><a href="namespacearmnn.xhtml#a0d2ad1212c8773f36160ef6e5e7db61f">armnn::IsConstantSupported</a></div><div class="ttdeci">bool IsConstantSupported(const BackendId &backend, const TensorInfo &output, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="aclassarmnn_utils_1_1_data_layout_indexed_xhtml"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.xhtml">armnnUtils::DataLayoutIndexed</a></div><div class="ttdoc">Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout.</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.xhtml#l00017">DataLayoutIndexed.hpp:17</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a></div><div class="ttdeci">@ TanH</div></div> +<div class="ttc" id="aclassarmnn__driver_1_1_layer_input_handle_xhtml_acbafd23115b06f0a82eab45bd1e3cff9"><div class="ttname"><a href="classarmnn__driver_1_1_layer_input_handle.xhtml#acbafd23115b06f0a82eab45bd1e3cff9">armnn_driver::LayerInputHandle::GetTensorInfo</a></div><div class="ttdeci">const armnn::TensorInfo & GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.xhtml#l00050">ConversionUtils.cpp:50</a></div></div> +<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00359">Descriptors.hpp:359</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_aac972ee73e8bd2374bc40ab844a7d894"><div class="ttname"><a href="namespacearmnn__driver.xhtml#aac972ee73e8bd2374bc40ab844a7d894">armnn_driver::ProcessActivation</a></div><div class="ttdeci">armnn::IConnectableLayer * ProcessActivation(const armnn::TensorInfo &tensorInfo, ActivationFn activation, armnn::IConnectableLayer *prevLayer, ConversionData &data)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.xhtml#l00885">ConversionUtils.cpp:885</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a8c749c18e62c59a5c1254aac342c995a"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a8c749c18e62c59a5c1254aac342c995a">armnn_driver::ConvertOperationInputToConstTensorPin</a></div><div class="ttdeci">ConstTensorPin ConvertOperationInputToConstTensorPin(const Operation &operation, uint32_t inputIndex, const Model &model, const ConversionData &data, const armnn::PermutationVector &dimensionMappings=g_DontPermute, const armnn::TensorShape *overrideTensorShape=nullptr, bool optional=false)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00718">ConversionUtils.hpp:718</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a96666c2945d7fe8c34aee30a449287d5"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a96666c2945d7fe8c34aee30a449287d5">armnn_driver::GetMemoryFromPool</a></div><div class="ttdeci">void * GetMemoryFromPool(DataLocation location, const std::vector< android::nn::RunTimePoolInfo > &memPools)</div><div class="ttdoc">Returns a pointer to a specific location in a pool`.</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00066">CanonicalUtils.cpp:66</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_ae059aea66ee0867a204aa2f2d9abb42c"><div class="ttname"><a href="namespacearmnn__driver.xhtml#ae059aea66ee0867a204aa2f2d9abb42c">armnn_driver::g_DontPermute</a></div><div class="ttdeci">const armnn::PermutationVector g_DontPermute</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00038">CanonicalUtils.cpp:38</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a275cd95635b854a80bb33f171d861ddc"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a275cd95635b854a80bb33f171d861ddc">armnn_driver::OperandLifeTime</a></div><div class="ttdeci">::android::nn::Operand::LifeTime OperandLifeTime</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00045">ConversionUtils.hpp:45</a></div></div> +<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a002bc30e590d78cbb4f4d12171055ca7">armnn::Pooling2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00397">Descriptors.hpp:397</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a3f3a756df9dee4b33566cddd786b83c9"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a3f3a756df9dee4b33566cddd786b83c9">armnn_driver::OptionalDataLayout</a></div><div class="ttdeci">armnn::DataLayout OptionalDataLayout(const Operation &operation, uint32_t inputIndex, const Model &model, ConversionData &data)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.xhtml#l00853">ConversionUtils.cpp:853</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div><div class="ttdeci">@ QSymmS8</div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_ac092fff5c81f7938eea9a2479f014c66"><div class="ttname"><a href="namespacearmnn__driver.xhtml#ac092fff5c81f7938eea9a2479f014c66">armnn_driver::GetInputActivationFunction</a></div><div class="ttdeci">bool GetInputActivationFunction(const Operation &operation, uint32_t inputIndex, ActivationFn &outActivationFunction, const Model &model, const ConversionData &data)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00823">ConversionUtils.hpp:823</a></div></div> +<div class="ttc" id="a_conversion_utils_8hpp_xhtml_abcb5019b10b89cbd2b96118885a026d4"><div class="ttname"><a href="_conversion_utils_8hpp.xhtml#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a></div><div class="ttdeci">const android::nn::Model::Subgraph & getMainModel(const android::nn::Model &model)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00028">ConversionUtils.hpp:28</a></div></div> +<div class="ttc" id="aclassarmnn__driver_1_1_const_tensor_pin_xhtml_a971023b9874b0d773e8aa4c6d6744a2b"><div class="ttname"><a href="classarmnn__driver_1_1_const_tensor_pin.xhtml#a971023b9874b0d773e8aa4c6d6744a2b">armnn_driver::ConstTensorPin::GetConstTensor</a></div><div class="ttdeci">const armnn::ConstTensor & GetConstTensor() const</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.xhtml#l00115">ConversionUtils.cpp:115</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_ad8f11d121a42a43f14c18bdb10f14b9e"><div class="ttname"><a href="namespacearmnn__driver.xhtml#ad8f11d121a42a43f14c18bdb10f14b9e">armnn_driver::SetupAndTrackLayerOutputSlot</a></div><div class="ttdeci">bool SetupAndTrackLayerOutputSlot(const Operation &operation, uint32_t outputIndex, armnn::IConnectableLayer &layer, const Model &model, ConversionData &data, const armnn::TensorInfo *overrideOutputInfo=nullptr, const std::function< void(const armnn::TensorInfo &, bool &)> &validateFunc=nullptr, const ActivationFn &activationFunction=ActivationFn::kActivationNone)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00959">ConversionUtils.hpp:959</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a82e85436d5f7cbfa90e8ab521bddae31"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a82e85436d5f7cbfa90e8ab521bddae31">armnn_driver::ConvertOperandToConstTensorPin</a></div><div class="ttdeci">ConstTensorPin ConvertOperandToConstTensorPin(const Operand &operand, const Model &model, const ConversionData &data, const armnn::PermutationVector &dimensionMappings, const armnn::TensorShape *overrideTensorShape, bool optional, const armnn::DataType *overrideDataType)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.xhtml#l00154">ConversionUtils.cpp:154</a></div></div> +<div class="ttc" id="aclassarmnn__driver_1_1_const_tensor_pin_xhtml_ac532c4b500b1a85ea22217f2c65a70ed"><div class="ttname"><a href="classarmnn__driver_1_1_const_tensor_pin.xhtml#ac532c4b500b1a85ea22217f2c65a70ed">armnn_driver::ConstTensorPin::IsValid</a></div><div class="ttdeci">bool IsValid() const</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.xhtml#l00105">ConversionUtils.cpp:105</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div><div class="ttdeci">@ QSymmS16</div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_xhtml_abe8889e8150beef5fd204b2d87b49298"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#abe8889e8150beef5fd204b2d87b49298">armnn::TensorInfo::SetShape</a></div><div class="ttdeci">void SetShape(const TensorShape &newShape)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00193">Tensor.hpp:193</a></div></div> +<div class="ttc" id="astructarmnn_1_1_activation_descriptor_xhtml_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.xhtml#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00063">Descriptors.hpp:63</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a10c64daf22426af432d0a9ada03eee5c"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5c">armnn_driver::DequantizeStatus</a></div><div class="ttdeci">DequantizeStatus</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l01007">ConversionUtils.hpp:1007</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_xhtml_adceb04ae84c524e4d01881e3754a4d59"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#adceb04ae84c524e4d01881e3754a4d59">armnn::IConnectableLayer::GetType</a></div><div class="ttdeci">virtual LayerType GetType() const =0</div><div class="ttdoc">Returns the armnn::LayerType of this layer.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a></div><div class="ttdeci">@ ReLu</div></div> +<div class="ttc" id="astructarmnn_1_1_reduce_descriptor_xhtml_a28e0548abfc4e79c48f29a3d11a062e9"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">armnn::ReduceDescriptor::m_KeepDims</a></div><div class="ttdeci">bool m_KeepDims</div><div class="ttdoc">if true then output shape has no change.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01521">Descriptors.hpp:1521</a></div></div> +<div class="ttc" id="aclassarmnn_serializer_1_1_i_serializer_xhtml_a3c51b5b078572dee02528bfae7202524"><div class="ttname"><a href="classarmnn_serializer_1_1_i_serializer.xhtml#a3c51b5b078572dee02528bfae7202524">armnnSerializer::ISerializer::Create</a></div><div class="ttdeci">static ISerializerPtr Create()</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_8cpp_source.xhtml#l00035">Serializer.cpp:35</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a6e7dc8639c4b2f0a93031afff5182735"><div class="ttname"><a href="namespacearmnn.xhtml#a6e7dc8639c4b2f0a93031afff5182735">armnn::IsActivationSupported</a></div><div class="ttdeci">bool IsActivationSupported(const BackendId &backend, const TensorInfo &input, const TensorInfo &output, const ActivationDescriptor &descriptor, char *reasonIfUnsupported=nullptr, size_t reasonIfUnsupportedMaxLength=1024)</div><div class="ttdoc">Deprecated in favor of IBackend and ILayerSupport interfaces.</div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a5378da53b59c1c826e6320383ca0257e"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a5378da53b59c1c826e6320383ca0257e">armnn_driver::SetupAndTrackLayerOutputSlot</a></div><div class="ttdeci">bool SetupAndTrackLayerOutputSlot(const Operation &operation, uint32_t operationOutputIndex, armnn::IConnectableLayer &layer, uint32_t layerOutputIndex, const Model &model, ConversionData &data, const armnn::TensorInfo *overrideOutputInfo, const std::function< void(const armnn::TensorInfo &, bool &)> &validateFunc, const ActivationFn &activationFunction, bool inferOutputShapes)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.xhtml#l00963">ConversionUtils.cpp:963</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_xhtml_a9c2cba04b6d7ace4fc2a2436b82a5a63"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">armnn::IConnectableLayer::GetNumInputSlots</a></div><div class="ttdeci">virtual unsigned int GetNumInputSlots() const =0</div><div class="ttdoc">Returns the number of connectable input slots.</div></div> +<div class="ttc" id="anamespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div><div class="ttdeci">@ Boolean</div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a93f4874062e34819806d36b74c73dc61"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a93f4874062e34819806d36b74c73dc61">armnn_driver::GetTensorInfoForOperand</a></div><div class="ttdeci">armnn::TensorInfo GetTensorInfoForOperand(const Operand &operand)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00097">CanonicalUtils.cpp:97</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a9ddfceb499ef7b3d01053399bc79b852"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a9ddfceb499ef7b3d01053399bc79b852">armnn_driver::IsOperandConstant</a></div><div class="ttdeci">bool IsOperandConstant(const Operand &operand)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00698">ConversionUtils.hpp:698</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.xhtml#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdeci">@ BoundedReLu</div><div class="ttdoc">min(a, max(b, input)) ReLu1 & ReLu6.</div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_abf92490dc588f48af86fc12184841fd5"><div class="ttname"><a href="namespacearmnn__driver.xhtml#abf92490dc588f48af86fc12184841fd5">armnn_driver::GetInputScalar</a></div><div class="ttdeci">bool GetInputScalar(const Operation &operation, uint32_t inputIndex, OperandType type, OutputType &outValue, const Model &model, const ConversionData &data, bool optional=false)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00742">ConversionUtils.hpp:742</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a00b317cd97319ac7b6a248a768ceb201"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a00b317cd97319ac7b6a248a768ceb201">armnn_driver::RenameFile</a></div><div class="ttdeci">void RenameFile(const std::string &existingName, const std::string &extension, const std::string &dumpDir, const armnn::NetworkId networkId)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.xhtml#l00588">CanonicalUtils.cpp:588</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::LayerType::Dequantize</a></div><div class="ttdeci">@ Dequantize</div></div> +<div class="ttc" id="a_conversion_utils_8hpp_xhtml_a00e2c074a81ec0d41495ed9287dcc542"><div class="ttname"><a href="_conversion_utils_8hpp.xhtml#a00e2c074a81ec0d41495ed9287dcc542">FORWARD_LAYER_SUPPORT_FUNC</a></div><div class="ttdeci">#define FORWARD_LAYER_SUPPORT_FUNC(funcName, func, backends, supported, setBackend,...)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00153">ConversionUtils.hpp:153</a></div></div> +<div class="ttc" id="aclassarmnn_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#l00198">Tensor.hpp:198</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_shape_xhtml_acccb75bd1d68a81f6ddd61687f51c5a1"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#acccb75bd1d68a81f6ddd61687f51c5a1">armnn::TensorShape::AreAllDimensionsSpecified</a></div><div class="ttdeci">bool AreAllDimensionsSpecified() const</div><div class="ttdoc">Checks if there is at least one dimension not specified.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00241">Tensor.cpp:241</a></div></div> +<div class="ttc" id="astructarmnn__driver_1_1_conversion_data_xhtml_af3239731a47cf4c08a040c42ee855edc"><div class="ttname"><a href="structarmnn__driver_1_1_conversion_data.xhtml#af3239731a47cf4c08a040c42ee855edc">armnn_driver::ConversionData::m_Backends</a></div><div class="ttdeci">const std::vector< armnn::BackendId > m_Backends</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.xhtml#l00059">ConversionUtils.hpp:59</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_base_tensor_xhtml_a8aeddebdcf02e1832b22203c08a6b678"><div class="ttname"><a href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">armnn::BaseTensor::GetInfo</a></div><div class="ttdeci">const TensorInfo & GetInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00295">Tensor.hpp:295</a></div></div> +<div class="ttc" id="anamespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div> +<div class="ttc" id="anamespacearmnn_utils_xhtml_af3c74017185773dd61d8ca6662d65d43"><div class="ttname"><a href="namespacearmnn_utils.xhtml#af3c74017185773dd61d8ca6662d65d43">armnnUtils::Permute</a></div><div class="ttdeci">void Permute(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.xhtml#l00131">Permute.cpp:131</a></div></div> +<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_xhtml_affb5b68b3eba3ed45a06c7cde7781962"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#affb5b68b3eba3ed45a06c7cde7781962">armnn::Pooling2dDescriptor::m_OutputShapeRounding</a></div><div class="ttdeci">OutputShapeRounding m_OutputShapeRounding</div><div class="ttdoc">The rounding method for the output shape. (Floor, Ceiling).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00411">Descriptors.hpp:411</a></div></div> +<div class="ttc" id="anamespacearmnn__driver_xhtml_a10c64daf22426af432d0a9ada03eee5cad0749aaba8b833466dfcbb0428e4f89c"><div class="ttname"><a href="namespacearmnn__driver.xhtml#a10c64daf22426af432d0a9ada03eee5cad0749aaba8b833466dfcbb0428e4f89c">armnn_driver::DequantizeStatus::SUCCESS</a></div><div class="ttdeci">@ SUCCESS</div></div> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="namespacearmnn__driver.xhtml">armnn_driver</a></li> + <li class="footer">Generated on Thu May 18 2023 10:35:51 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li> + </ul> +</div> +</body> +</html> |