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| author | Jan Eilers <jan.eilers@arm.com> | 2021-02-25 17:44:00 +0000 |
|---|---|---|
| committer | Jan Eilers <jan.eilers@arm.com> | 2021-02-25 18:27:49 +0000 |
| commit | fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf (patch) | |
| tree | eb4bc8f9b411f30c7655616142b5a4bdd3a1acd0 /21.02/classarmnn_1_1_tensor_shape.xhtml | |
| parent | fb14ebbd68e04876809145296af96f6f41857418 (diff) | |
| download | armnn-fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf.tar.gz | |
IVGCVSW-5687 Update Doxygen Docu
* Update Doxygen Documentation for 21.02 release
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5
Diffstat (limited to '21.02/classarmnn_1_1_tensor_shape.xhtml')
| -rw-r--r-- | 21.02/classarmnn_1_1_tensor_shape.xhtml | 891 |
1 files changed, 891 insertions, 0 deletions
diff --git a/21.02/classarmnn_1_1_tensor_shape.xhtml b/21.02/classarmnn_1_1_tensor_shape.xhtml new file mode 100644 index 0000000000..4676a011c1 --- /dev/null +++ b/21.02/classarmnn_1_1_tensor_shape.xhtml @@ -0,0 +1,891 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: TensorShape Class Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">21.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('classarmnn_1_1_tensor_shape.xhtml','');}); +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="summary"> +<a href="#pub-methods">Public Member Functions</a> | +<a href="classarmnn_1_1_tensor_shape-members.xhtml">List of all members</a> </div> + <div class="headertitle"> +<div class="title">TensorShape Class Reference</div> </div> +</div><!--header--> +<div class="contents"> + +<p><code>#include <<a class="el" href="_tensor_8hpp_source.xhtml">Tensor.hpp</a>></code></p> +<table class="memberdecls"> +<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> +Public Member Functions</h2></td></tr> +<tr class="memitem:a76d053cd9b4373d90682ad646dad334c"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a76d053cd9b4373d90682ad646dad334c">TensorShape</a> ()</td></tr> +<tr class="memdesc:a76d053cd9b4373d90682ad646dad334c"><td class="mdescLeft"> </td><td class="mdescRight">Empty (invalid) constructor. <a href="#a76d053cd9b4373d90682ad646dad334c">More...</a><br /></td></tr> +<tr class="separator:a76d053cd9b4373d90682ad646dad334c"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a18cd85c032ed1d07bf07867e50ed143f"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a18cd85c032ed1d07bf07867e50ed143f">TensorShape</a> (unsigned int numDimensions, bool initDimensionsSpecificity=<a class="el" href="_ref_layer_tests_8cpp.xhtml#a88d84cc49602ca19491dea9c998035fe">true</a>)</td></tr> +<tr class="memdesc:a18cd85c032ed1d07bf07867e50ed143f"><td class="mdescLeft"> </td><td class="mdescRight">Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>. <a href="#a18cd85c032ed1d07bf07867e50ed143f">More...</a><br /></td></tr> +<tr class="separator:a18cd85c032ed1d07bf07867e50ed143f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1c3de06b2e467f9663079dbb619e4732"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a1c3de06b2e467f9663079dbb619e4732">TensorShape</a> (unsigned int numDimensions, const unsigned int *dimensionSizes)</td></tr> +<tr class="memdesc:a1c3de06b2e467f9663079dbb619e4732"><td class="mdescLeft"> </td><td class="mdescRight">Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>. <a href="#a1c3de06b2e467f9663079dbb619e4732">More...</a><br /></td></tr> +<tr class="separator:a1c3de06b2e467f9663079dbb619e4732"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab18f5c64d49bbc1f7a97d031c5e79e3d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#ab18f5c64d49bbc1f7a97d031c5e79e3d">TensorShape</a> (std::initializer_list< unsigned int > dimensionSizeList)</td></tr> +<tr class="memdesc:ab18f5c64d49bbc1f7a97d031c5e79e3d"><td class="mdescLeft"> </td><td class="mdescRight">Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>. <a href="#ab18f5c64d49bbc1f7a97d031c5e79e3d">More...</a><br /></td></tr> +<tr class="separator:ab18f5c64d49bbc1f7a97d031c5e79e3d"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:abe2c91b98905750c515790c88f329670"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#abe2c91b98905750c515790c88f329670">TensorShape</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &other)</td></tr> +<tr class="memdesc:abe2c91b98905750c515790c88f329670"><td class="mdescLeft"> </td><td class="mdescRight">Copy Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>. <a href="#abe2c91b98905750c515790c88f329670">More...</a><br /></td></tr> +<tr class="separator:abe2c91b98905750c515790c88f329670"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa3f87e5fa5e657a8d1b792b7c43cffe3"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#aa3f87e5fa5e657a8d1b792b7c43cffe3">TensorShape</a> (unsigned int numDimensions, const unsigned int *dimensionSizes, const bool *dimensionsSpecificity)</td></tr> +<tr class="memdesc:aa3f87e5fa5e657a8d1b792b7c43cffe3"><td class="mdescLeft"> </td><td class="mdescRight">Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>. <a href="#aa3f87e5fa5e657a8d1b792b7c43cffe3">More...</a><br /></td></tr> +<tr class="separator:aa3f87e5fa5e657a8d1b792b7c43cffe3"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6624ad2ddc20bd7e3be162e0abea38fe"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a6624ad2ddc20bd7e3be162e0abea38fe">TensorShape</a> (std::initializer_list< unsigned int > dimensionSizeList, std::initializer_list< bool > dimensionsSpecificityList)</td></tr> +<tr class="memdesc:a6624ad2ddc20bd7e3be162e0abea38fe"><td class="mdescLeft"> </td><td class="mdescRight">Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>. <a href="#a6624ad2ddc20bd7e3be162e0abea38fe">More...</a><br /></td></tr> +<tr class="separator:a6624ad2ddc20bd7e3be162e0abea38fe"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a81652660972380dfe493bf8572e68e39"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a81652660972380dfe493bf8572e68e39">TensorShape</a> (<a class="el" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681">Dimensionality</a> dimensionality)</td></tr> +<tr class="memdesc:a81652660972380dfe493bf8572e68e39"><td class="mdescLeft"> </td><td class="mdescRight">Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>. <a href="#a81652660972380dfe493bf8572e68e39">More...</a><br /></td></tr> +<tr class="separator:a81652660972380dfe493bf8572e68e39"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0ca6f42172d27e9799da3e3f7840ac31"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a0ca6f42172d27e9799da3e3f7840ac31">operator=</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &other)</td></tr> +<tr class="memdesc:a0ca6f42172d27e9799da3e3f7840ac31"><td class="mdescLeft"> </td><td class="mdescRight">Assignation function. <a href="#a0ca6f42172d27e9799da3e3f7840ac31">More...</a><br /></td></tr> +<tr class="separator:a0ca6f42172d27e9799da3e3f7840ac31"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6e6dab22049a4432e8306a301dceff52"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a6e6dab22049a4432e8306a301dceff52">operator[]</a> (unsigned int i) const</td></tr> +<tr class="memdesc:a6e6dab22049a4432e8306a301dceff52"><td class="mdescLeft"> </td><td class="mdescRight">Read only operator. <a href="#a6e6dab22049a4432e8306a301dceff52">More...</a><br /></td></tr> +<tr class="separator:a6e6dab22049a4432e8306a301dceff52"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0bd5fcf80a3838d0922354989762d7c8"><td class="memItemLeft" align="right" valign="top">unsigned int & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a0bd5fcf80a3838d0922354989762d7c8">operator[]</a> (unsigned int i)</td></tr> +<tr class="memdesc:a0bd5fcf80a3838d0922354989762d7c8"><td class="mdescLeft"> </td><td class="mdescRight">Read and write operator. <a href="#a0bd5fcf80a3838d0922354989762d7c8">More...</a><br /></td></tr> +<tr class="separator:a0bd5fcf80a3838d0922354989762d7c8"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a07e348fae6036aecdaf41e738d1ae9ff"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a07e348fae6036aecdaf41e738d1ae9ff">operator==</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &other) const</td></tr> +<tr class="memdesc:a07e348fae6036aecdaf41e738d1ae9ff"><td class="mdescLeft"> </td><td class="mdescRight">Equality comparison operator. <a href="#a07e348fae6036aecdaf41e738d1ae9ff">More...</a><br /></td></tr> +<tr class="separator:a07e348fae6036aecdaf41e738d1ae9ff"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a77d202fcd47612eb5a4d6d23a7d4b349"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a77d202fcd47612eb5a4d6d23a7d4b349">operator!=</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> &other) const</td></tr> +<tr class="memdesc:a77d202fcd47612eb5a4d6d23a7d4b349"><td class="mdescLeft"> </td><td class="mdescRight">Inequality comparison operator. <a href="#a77d202fcd47612eb5a4d6d23a7d4b349">More...</a><br /></td></tr> +<tr class="separator:a77d202fcd47612eb5a4d6d23a7d4b349"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a157e27d41e9f6b21f0d3c025fa47dc24"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a> () const</td></tr> +<tr class="memdesc:a157e27d41e9f6b21f0d3c025fa47dc24"><td class="mdescLeft"> </td><td class="mdescRight">Function that returns the tensor rank. <a href="#a157e27d41e9f6b21f0d3c025fa47dc24">More...</a><br /></td></tr> +<tr class="separator:a157e27d41e9f6b21f0d3c025fa47dc24"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8846406ac37fbd2204f0be16ee05d5b7"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a> () const</td></tr> +<tr class="memdesc:a8846406ac37fbd2204f0be16ee05d5b7"><td class="mdescLeft"> </td><td class="mdescRight">Function that calculates the tensor elements by multiplying all dimension size which are Specified. <a href="#a8846406ac37fbd2204f0be16ee05d5b7">More...</a><br /></td></tr> +<tr class="separator:a8846406ac37fbd2204f0be16ee05d5b7"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5a212540c00931bd2a4b4041beda33ae"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681">Dimensionality</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a> () const</td></tr> +<tr class="memdesc:a5a212540c00931bd2a4b4041beda33ae"><td class="mdescLeft"> </td><td class="mdescRight">Function that returns the tensor type. <a href="#a5a212540c00931bd2a4b4041beda33ae">More...</a><br /></td></tr> +<tr class="separator:a5a212540c00931bd2a4b4041beda33ae"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3919600d4aa8d5cd801a0e0740f62308"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a3919600d4aa8d5cd801a0e0740f62308">GetDimensionSpecificity</a> (unsigned int i) const</td></tr> +<tr class="memdesc:a3919600d4aa8d5cd801a0e0740f62308"><td class="mdescLeft"> </td><td class="mdescRight">Gets information about if the dimension size has been specified or not. <a href="#a3919600d4aa8d5cd801a0e0740f62308">More...</a><br /></td></tr> +<tr class="separator:a3919600d4aa8d5cd801a0e0740f62308"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a82c7d5a6e675b1a876daa9983cd125d2"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a82c7d5a6e675b1a876daa9983cd125d2">SetNumDimensions</a> (unsigned int numDimensions, bool initDimensionsSpecificity=<a class="el" href="_ref_layer_tests_8cpp.xhtml#a2289f9e7fac0ce47801448e873b04303">false</a>)</td></tr> +<tr class="memdesc:a82c7d5a6e675b1a876daa9983cd125d2"><td class="mdescLeft"> </td><td class="mdescRight">Sets the tensor rank and therefore the Dimensionality is set to Specified if it was not. <a href="#a82c7d5a6e675b1a876daa9983cd125d2">More...</a><br /></td></tr> +<tr class="separator:a82c7d5a6e675b1a876daa9983cd125d2"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ad82b782a8e1a05b6a3756e73c66d5f90"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#ad82b782a8e1a05b6a3756e73c66d5f90">SetDimensionSize</a> (unsigned int i, unsigned int dimensionSize)</td></tr> +<tr class="memdesc:ad82b782a8e1a05b6a3756e73c66d5f90"><td class="mdescLeft"> </td><td class="mdescRight">Sets the size of the indicated dimension and Specificity for that dimension is set to true. <a href="#ad82b782a8e1a05b6a3756e73c66d5f90">More...</a><br /></td></tr> +<tr class="separator:ad82b782a8e1a05b6a3756e73c66d5f90"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acccb75bd1d68a81f6ddd61687f51c5a1"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#acccb75bd1d68a81f6ddd61687f51c5a1">AreAllDimensionsSpecified</a> () const</td></tr> +<tr class="memdesc:acccb75bd1d68a81f6ddd61687f51c5a1"><td class="mdescLeft"> </td><td class="mdescRight">Checks if there is at least one dimension not specified. <a href="#acccb75bd1d68a81f6ddd61687f51c5a1">More...</a><br /></td></tr> +<tr class="separator:acccb75bd1d68a81f6ddd61687f51c5a1"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a34e12ab75d9073354565c2039f92112b"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml#a34e12ab75d9073354565c2039f92112b">IsAtLeastOneDimensionSpecified</a> () const</td></tr> +<tr class="memdesc:a34e12ab75d9073354565c2039f92112b"><td class="mdescLeft"> </td><td class="mdescRight">Checks if there is at least one dimension specified. <a href="#a34e12ab75d9073354565c2039f92112b">More...</a><br /></td></tr> +<tr class="separator:a34e12ab75d9073354565c2039f92112b"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> +<div class="textblock"> +<p class="definition">Definition at line <a class="el" href="_tensor_8hpp_source.xhtml#l00020">20</a> of file <a class="el" href="_tensor_8hpp_source.xhtml">Tensor.hpp</a>.</p> +</div><h2 class="groupheader">Constructor & Destructor Documentation</h2> +<a id="a76d053cd9b4373d90682ad646dad334c"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a76d053cd9b4373d90682ad646dad334c">◆ </a></span>TensorShape() <span class="overload">[1/8]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Empty (invalid) constructor. </p> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00025">25</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Specified</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_tensor_8cpp_source.xhtml#l00080">TensorShape::TensorShape()</a>.</p> +<div class="fragment"><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  : m_NumDimensions(0), m_Dimensionality(<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>)</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> {</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a18cd85c032ed1d07bf07867e50ed143f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a18cd85c032ed1d07bf07867e50ed143f">◆ </a></span>TensorShape() <span class="overload">[2/8]</span></h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> </td> + <td>(</td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>numDimensions</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">bool </td> + <td class="paramname"><em>initDimensionsSpecificity</em> = <code><a class="el" href="_ref_layer_tests_8cpp.xhtml#a88d84cc49602ca19491dea9c998035fe">true</a></code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">explicit</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>. </p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">numDimensions</td><td>- <a class="el" href="classarmnn_1_1_tensor.xhtml" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. ">Tensor</a> rank. </td></tr> + <tr><td class="paramname">initDimensionsSpecificity</td><td>(optional) - value to initialize the specificity of each dimension size. </td></tr> + </table> + </dd> +</dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00030">30</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  : m_NumDimensions(numDimensions), m_Dimensionality(<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>)</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  CheckValidNumDimensions(numDimensions);</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  std::fill(m_Dimensions.begin(), m_Dimensions.begin() + m_NumDimensions, 0);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  std::fill(m_DimensionsSpecificity.begin(), m_DimensionsSpecificity.begin() + m_NumDimensions,</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  initDimensionsSpecificity);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a1c3de06b2e467f9663079dbb619e4732"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1c3de06b2e467f9663079dbb619e4732">◆ </a></span>TensorShape() <span class="overload">[3/8]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> </td> + <td>(</td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>numDimensions</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const unsigned int * </td> + <td class="paramname"><em>dimensionSizes</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>. </p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">numDimensions</td><td>- <a class="el" href="classarmnn_1_1_tensor.xhtml" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. ">Tensor</a> rank. </td></tr> + <tr><td class="paramname">dimensionSizes</td><td>- Size of each of dimension. </td></tr> + </table> + </dd> +</dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00040">40</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  : m_NumDimensions(numDimensions), m_Dimensionality(<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>)</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  CheckValidNumDimensions(numDimensions);</div><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>  <span class="keywordflow">if</span> (dimensionSizes == <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Tensor dimensionSizes must not be NULL"</span>);</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  }</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>  std::copy(dimensionSizes, dimensionSizes + numDimensions, m_Dimensions.begin());</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  std::fill(m_DimensionsSpecificity.begin(), m_DimensionsSpecificity.begin() + m_NumDimensions, <span class="keyword">true</span>);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ab18f5c64d49bbc1f7a97d031c5e79e3d"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab18f5c64d49bbc1f7a97d031c5e79e3d">◆ </a></span>TensorShape() <span class="overload">[4/8]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> </td> + <td>(</td> + <td class="paramtype">std::initializer_list< unsigned int > </td> + <td class="paramname"><em>dimensionSizeList</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>. </p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">dimensionSizeList</td><td>- Size of each of dimension. </td></tr> + </table> + </dd> +</dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00054">54</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  : <a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a76d053cd9b4373d90682ad646dad334c">TensorShape</a>(armnn::numeric_cast<unsigned int>(dimensionSizeList.size()), dimensionSizeList.begin())</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a76d053cd9b4373d90682ad646dad334c"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a76d053cd9b4373d90682ad646dad334c">armnn::TensorShape::TensorShape</a></div><div class="ttdeci">TensorShape()</div><div class="ttdoc">Empty (invalid) constructor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00025">Tensor.cpp:25</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="abe2c91b98905750c515790c88f329670"></a> +<h2 class="memtitle"><span class="permalink"><a href="#abe2c91b98905750c515790c88f329670">◆ </a></span>TensorShape() <span class="overload">[5/8]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> & </td> + <td class="paramname"><em>other</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Copy Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>. </p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">other</td><td>- <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> to copy from. </td></tr> + </table> + </dd> +</dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00116">116</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  : m_NumDimensions(other.m_NumDimensions), m_Dimensionality(other.m_Dimensionality)</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>  std::copy(other.m_Dimensions.cbegin(), other.m_Dimensions.cbegin() + other.m_NumDimensions, m_Dimensions.begin());</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  std::copy(other.m_DimensionsSpecificity.cbegin(), other.m_DimensionsSpecificity.cbegin() + other.m_NumDimensions,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  m_DimensionsSpecificity.begin());</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="aa3f87e5fa5e657a8d1b792b7c43cffe3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa3f87e5fa5e657a8d1b792b7c43cffe3">◆ </a></span>TensorShape() <span class="overload">[6/8]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> </td> + <td>(</td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>numDimensions</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const unsigned int * </td> + <td class="paramname"><em>dimensionSizes</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const bool * </td> + <td class="paramname"><em>dimensionsSpecificity</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>. </p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">numDimensions</td><td>- <a class="el" href="classarmnn_1_1_tensor.xhtml" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. ">Tensor</a> rank. </td></tr> + <tr><td class="paramname">dimensionSizes</td><td>- Size of each of dimension. </td></tr> + <tr><td class="paramname">dimensionsSpecificity</td><td>- Flags to indicate which dimension has its size specified. </td></tr> + </table> + </dd> +</dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00059">59</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  : m_NumDimensions(numDimensions), m_Dimensionality(<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>)</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>  CheckValidNumDimensions(numDimensions);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">if</span> (dimensionSizes == <span class="keyword">nullptr</span>)</div><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="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Tensor dimensionSizes must not be NULL"</span>);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  }</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="keywordflow">if</span> (dimensionsSpecificity == <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Tensor dimensionsSpecificity must not be NULL"</span>);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  }</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  std::copy(dimensionSizes, dimensionSizes + numDimensions, m_Dimensions.begin());</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  std::copy(dimensionsSpecificity, dimensionsSpecificity + numDimensions, m_DimensionsSpecificity.begin());</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a6624ad2ddc20bd7e3be162e0abea38fe"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6624ad2ddc20bd7e3be162e0abea38fe">◆ </a></span>TensorShape() <span class="overload">[7/8]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> </td> + <td>(</td> + <td class="paramtype">std::initializer_list< unsigned int > </td> + <td class="paramname"><em>dimensionSizeList</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::initializer_list< bool > </td> + <td class="paramname"><em>dimensionsSpecificityList</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>. </p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">dimensionSizeList</td><td>- Size of each of dimension. </td></tr> + <tr><td class="paramname">dimensionsSpecificityList</td><td>- Flags to indicate which dimension size is specified. </td></tr> + </table> + </dd> +</dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00080">80</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_8cpp_source.xhtml#l00025">TensorShape::TensorShape()</a>.</p> +<div class="fragment"><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keyword">auto</span> numDimensions = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(dimensionSizeList.size());</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">if</span> (dimensionsSpecificityList.size() != numDimensions)</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  {</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Tensors dimensionSizeList and dimensionsSpecificityList must be same size"</span>);</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> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  *<span class="keyword">this</span> = <a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a76d053cd9b4373d90682ad646dad334c">TensorShape</a>(numDimensions, dimensionSizeList.begin(), dimensionsSpecificityList.begin());</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a76d053cd9b4373d90682ad646dad334c"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a76d053cd9b4373d90682ad646dad334c">armnn::TensorShape::TensorShape</a></div><div class="ttdeci">TensorShape()</div><div class="ttdoc">Empty (invalid) constructor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00025">Tensor.cpp:25</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a81652660972380dfe493bf8572e68e39"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a81652660972380dfe493bf8572e68e39">◆ </a></span>TensorShape() <span class="overload">[8/8]</span></h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> </td> + <td>(</td> + <td class="paramtype"><a class="el" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681">Dimensionality</a> </td> + <td class="paramname"><em>dimensionality</em></td><td>)</td> + <td></td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">explicit</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Constructor for <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>. </p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">dimensionality</td><td>- Parameter to indicate if the <a class="el" href="classarmnn_1_1_tensor.xhtml" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. ">Tensor</a> is a Scalar, a <a class="el" href="classarmnn_1_1_tensor.xhtml" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. ">Tensor</a> of known dimensionality or a <a class="el" href="classarmnn_1_1_tensor.xhtml" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. ">Tensor</a> of unknown dimensionality. </td></tr> + </table> + </dd> +</dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00092">92</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::NotSpecified</a>, <a class="el" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Scalar</a>, and <a class="el" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Specified</a>.</p> +<div class="fragment"><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> : m_Dimensionality(dimensionality)</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> {</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">switch</span> (dimensionality)</div><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>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>:</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Use other constructor to specify the rest of the values, this one is only "</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="stringliteral">"for tensors that have an unknown number of dimensions or that are scalar"</span>);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">Dimensionality::NotSpecified</a>:</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  m_NumDimensions = 0;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  m_Dimensions = {0};</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  m_DimensionsSpecificity = {<span class="keyword">false</span>};</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">Dimensionality::Scalar</a>:</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  m_NumDimensions = 1;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  m_Dimensions = {1};</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  m_DimensionsSpecificity = {<span class="keyword">true</span>};</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Invalid Dimensionality value"</span>);</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> }</div><div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a></div></div> +</div><!-- fragment --> +</div> +</div> +<h2 class="groupheader">Member Function Documentation</h2> +<a id="acccb75bd1d68a81f6ddd61687f51c5a1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#acccb75bd1d68a81f6ddd61687f51c5a1">◆ </a></span>AreAllDimensionsSpecified()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool AreAllDimensionsSpecified </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Checks if there is at least one dimension not specified. </p> +<p>AND of all array elements. </p><dl class="section return"><dt>Returns</dt><dd>- True when all dimension sizes are specified. False when at least one dimension size is not specified. </dd></dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00241">241</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_tensor_test_8cpp_source.xhtml#l00249">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00092">TensorShape::GetDimensionality()</a>, <a class="el" href="_constant_layer_8cpp_source.xhtml#l00045">ConstantLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_layer_8cpp_source.xhtml#l00432">Layer::VerifyShapeInferenceType()</a>.</p> +<div class="fragment"><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>  CheckUnspecifiedNumDimensions();</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordtype">bool</span> areAllDimensionsSpecified = <span class="keyword">true</span>;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < m_NumDimensions; ++i)</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">if</span> (!m_DimensionsSpecificity[i])</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>  areAllDimensionsSpecified = <span class="keyword">false</span>;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  }</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  }</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">return</span> areAllDimensionsSpecified;</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a5a212540c00931bd2a4b4041beda33ae"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5a212540c00931bd2a4b4041beda33ae">◆ </a></span>GetDimensionality()</h2> + +<div class="memitem"> +<div class="memproto"> +<table class="mlabels"> + <tr> + <td class="mlabels-left"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681">Dimensionality</a> GetDimensionality </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> + </td> + <td class="mlabels-right"> +<span class="mlabels"><span class="mlabel">inline</span></span> </td> + </tr> +</table> +</div><div class="memdoc"> + +<p>Function that returns the tensor type. </p> +<dl class="section return"><dt>Returns</dt><dd>- Parameter to indicate if the <a class="el" href="classarmnn_1_1_tensor.xhtml" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. ">Tensor</a> is a scalar, a <a class="el" href="classarmnn_1_1_tensor.xhtml" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. ">Tensor</a> of known dimensionality or a <a class="el" href="classarmnn_1_1_tensor.xhtml" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. ">Tensor</a> of unknown dimensionality </dd></dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8hpp_source.xhtml#l00092">92</a> of file <a class="el" href="_tensor_8hpp_source.xhtml">Tensor.hpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_8cpp_source.xhtml#l00241">TensorShape::AreAllDimensionsSpecified()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00211">TensorShape::GetDimensionSpecificity()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00257">TensorShape::IsAtLeastOneDimensionSpecified()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00232">TensorShape::SetDimensionSize()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00219">TensorShape::SetNumDimensions()</a>, and <a class="el" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Specified</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_tensor_test_8cpp_source.xhtml#l00249">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_serializer_8cpp_source.xhtml#l00087">armnnSerializer::GetFlatBufferArgMinMaxFunction()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00392">Layer::ValidateAndCopyShape()</a>, <a class="el" href="_constant_layer_8cpp_source.xhtml#l00045">ConstantLayer::ValidateTensorShapesFromInputs()</a>, and <a class="el" href="_layer_8cpp_source.xhtml#l00432">Layer::VerifyShapeInferenceType()</a>.</p> +<div class="fragment"><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> { <span class="keywordflow">return</span> m_Dimensionality; }</div></div><!-- fragment --> +</div> +</div> +<a id="a3919600d4aa8d5cd801a0e0740f62308"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3919600d4aa8d5cd801a0e0740f62308">◆ </a></span>GetDimensionSpecificity()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool GetDimensionSpecificity </td> + <td>(</td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>i</em></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Gets information about if the dimension size has been specified or not. </p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">i</td><td>- Dimension index. </td></tr> + </table> + </dd> +</dl> +<dl class="section return"><dt>Returns</dt><dd>- Flag to indicate if the dimension "i" has a specified size. </dd></dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00211">211</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_tensor_test_8cpp_source.xhtml#l00249">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00092">TensorShape::GetDimensionality()</a>, <a class="el" href="_serializer_8cpp_source.xhtml#l00087">armnnSerializer::GetFlatBufferArgMinMaxFunction()</a>, and <a class="el" href="_layer_8cpp_source.xhtml#l00392">Layer::ValidateAndCopyShape()</a>.</p> +<div class="fragment"><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> {</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  CheckUnspecifiedNumDimensions();</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  CheckDimensionIndex(i);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">return</span> m_DimensionsSpecificity[i];</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a157e27d41e9f6b21f0d3c025fa47dc24"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a157e27d41e9f6b21f0d3c025fa47dc24">◆ </a></span>GetNumDimensions()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">unsigned int GetNumDimensions </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Function that returns the tensor rank. </p> +<dl class="section return"><dt>Returns</dt><dd>- <a class="el" href="classarmnn_1_1_tensor.xhtml" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. ">Tensor</a> rank. </dd></dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00174">174</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_tf_parser_8cpp_source.xhtml#l03118">ITfParser::TfParserImpl::AddAdditionLayer()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l03236">ITfParser::TfParserImpl::AddMaximumLayer()</a>, <a class="el" href="backends_2reference_2workloads_2_batch_to_space_n_d_8cpp_source.xhtml#l00035">armnn::BatchToSpaceNd()</a>, <a class="el" href="_tensor_test_8cpp_source.xhtml#l00249">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tensor_test_8cpp_source.xhtml#l00026">armnn::boost_test_print_type()</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00156">ShapesAreBroadcastCompatible::CalcInputSize()</a>, <a class="el" href="_deserializer_8cpp_source.xhtml#l00187">armnnDeserializer::CheckShape()</a>, <a class="el" href="_cl_stack_workload_8cpp_source.xhtml#l00047">ClStackWorkload::ClStackWorkload()</a>, <a class="el" href="_prototxt_conversions_8cpp_source.xhtml#l00032">armnnUtils::ConvertTensorShapeToString()</a>, <a class="el" href="_workload_utils_8hpp_source.xhtml#l00047">armnn::CopyTensorContentsGeneric()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l00650">ITfParser::TfParserImpl::CreateAdditionLayer()</a>, <a class="el" href="_onnx_parser_8cpp_source.xhtml#l00628">OnnxParserImpl::CreateNetworkFromString()</a>, <a class="el" href="_cl_rank_workload_8hpp_source.xhtml#l00020">ClRankWorkload::Execute()</a>, <a class="el" href="_neon_rank_workload_8hpp_source.xhtml#l00020">NeonRankWorkload::Execute()</a>, <a class="el" href="_ref_l2_normalization_workload_8cpp_source.xhtml#l00027">RefL2NormalizationWorkload::Execute()</a>, <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00085">armnnUtils::ExpandDims()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00072">ExpandTensorShapeTo3dForPermute()</a>, <a class="el" href="_serializer_8cpp_source.xhtml#l00087">armnnSerializer::GetFlatBufferArgMinMaxFunction()</a>, <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00140">armnnUtils::GetNumElementsAfter()</a>, <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00113">armnnUtils::GetNumElementsBetween()</a>, <a class="el" href="_elementwise_base_layer_8cpp_source.xhtml#l00022">ElementwiseBaseLayer::InferOutputShapes()</a>, <a class="el" href="_arg_min_max_layer_8cpp_source.xhtml#l00037">ArgMinMaxLayer::InferOutputShapes()</a>, <a class="el" href="_prelu_layer_8cpp_source.xhtml#l00038">PreluLayer::InferOutputShapes()</a>, <a class="el" href="_logical_binary_layer_8cpp_source.xhtml#l00034">LogicalBinaryLayer::InferOutputShapes()</a>, <a class="el" href="_comparison_layer_8cpp_source.xhtml#l00036">ComparisonLayer::InferOutputShapes()</a>, <a class="el" href="_stack_layer_8cpp_source.xhtml#l00035">StackLayer::InferOutputShapes()</a>, <a class="el" href="_pad_layer_8cpp_source.xhtml#l00040">PadLayer::InferOutputShapes()</a>, <a class="el" href="_log_softmax_8cpp_source.xhtml#l00029">armnn::LogSoftmax()</a>, <a class="el" href="_neon_stack_workload_8cpp_source.xhtml#l00049">NeonStackWorkload::NeonStackWorkload()</a>, <a class="el" href="_types_utils_8hpp_source.xhtml#l00276">armnn::operator<<()</a>, <a class="el" href="backends_2reference_2workloads_2_pad_8cpp_source.xhtml#l00039">armnn::Pad()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02015">ITfParser::TfParserImpl::ParseStack()</a>, <a class="el" href="_permute_8cpp_source.xhtml#l00098">armnnUtils::Permuted()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l01841">ITfParser::TfParserImpl::ProcessComparisonLayer()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l01868">ITfParser::TfParserImpl::ProcessElementwiseLayer()</a>, <a class="el" href="_parser_prototxt_fixture_8hpp_source.xhtml#l00184">ParserPrototxtFixture< armnnOnnxParser::IOnnxParser >::RunTest()</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00163">ShapesAreBroadcastCompatible::ShapesAreBroadcastCompatible()</a>, <a class="el" href="_layer_support_rules_8hpp_source.xhtml#l00140">ShapesAreSameRank::ShapesAreSameRank()</a>, <a class="el" href="backends_2reference_2workloads_2_slice_8cpp_source.xhtml#l00014">armnn::Slice()</a>, <a class="el" href="backends_2reference_2workloads_2_softmax_8cpp_source.xhtml#l00017">armnn::Softmax()</a>, <a class="el" href="_tensor_buffer_array_view_8hpp_source.xhtml#l00022">TensorBufferArrayView< DataType >::TensorBufferArrayView()</a>, <a class="el" href="armnn_utils_2_transpose_8cpp_source.xhtml#l00098">armnnUtils::TransposeTensorShape()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l00902">StackQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.xhtml#l00643">ArgMinMaxQueueDescriptor::Validate()</a>, and <a class="el" href="_layer_8cpp_source.xhtml#l00392">Layer::ValidateAndCopyShape()</a>.</p> +<div class="fragment"><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> {</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  CheckUnspecifiedNumDimensions();</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>  <span class="keywordflow">return</span> m_NumDimensions;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a8846406ac37fbd2204f0be16ee05d5b7"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8846406ac37fbd2204f0be16ee05d5b7">◆ </a></span>GetNumElements()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">unsigned int GetNumElements </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Function that calculates the tensor elements by multiplying all dimension size which are Specified. </p> +<dl class="section return"><dt>Returns</dt><dd>- Total number of elements in the tensor. </dd></dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00181">181</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_tensor_test_8cpp_source.xhtml#l00249">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_base_iterator_8hpp_source.xhtml#l00137">QASymm8Decoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.xhtml#l00175">QASymmS8Decoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.xhtml#l00213">QSymmS8Decoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.xhtml#l00251">QSymm16Decoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.xhtml#l00291">BFloat16Decoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.xhtml#l00330">Float16Decoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.xhtml#l00367">Float32Decoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.xhtml#l00395">ScaledInt32Decoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.xhtml#l00432">Int32Decoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.xhtml#l00465">Int32ToInt32tDecoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.xhtml#l00498">BooleanDecoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.xhtml#l00532">BooleanDecoderBool::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.xhtml#l00854">QSymm8PerAxisDecoder::DecodeTensor()</a>, <a class="el" href="_base_iterator_8hpp_source.xhtml#l00937">ScaledInt32PerAxisDecoder::DecodeTensor()</a>, <a class="el" href="backends_2reference_2workloads_2_depth_to_space_8cpp_source.xhtml#l00018">armnn::DepthToSpace()</a>, <a class="el" href="_fill_8cpp_source.xhtml#l00013">armnn::Fill()</a>, <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00058">armnnUtils::FindMinMax()</a>, and <a class="el" href="_transpose_convolution2d_8cpp_source.xhtml#l00015">armnn::TransposeConvolution2dImpl()</a>.</p> +<div class="fragment"><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>  CheckUnspecifiedNumDimensions();</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordflow">if</span> (m_NumDimensions == 0)</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>  <span class="keywordflow">return</span> 0;</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> </div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> count = 1;</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordtype">bool</span> atLeastOneDimensionSpecified = <span class="keyword">false</span>;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < m_NumDimensions; ++i)</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> (m_DimensionsSpecificity[i])</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>  atLeastOneDimensionSpecified = <span class="keyword">true</span>;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  count *= m_Dimensions[i];</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>  }</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">if</span> (atLeastOneDimensionSpecified)</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  {</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">return</span> count;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  } </div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">else</span> </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  {</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  }</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a34e12ab75d9073354565c2039f92112b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a34e12ab75d9073354565c2039f92112b">◆ </a></span>IsAtLeastOneDimensionSpecified()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool IsAtLeastOneDimensionSpecified </td> + <td>(</td> + <td class="paramname"></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Checks if there is at least one dimension specified. </p> +<p>OR of all array elements. </p><dl class="section return"><dt>Returns</dt><dd>- True at least one dimension sizes is specified. False when all dimension sizes are not specified. </dd></dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00257">257</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_exceptions_8hpp_source.xhtml#l00197">CHECK_LOCATION</a>, <a class="el" href="_types_8hpp_source.xhtml#l00018">armnn::MaxNumOfTensorDimensions</a>, <a class="el" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::NotSpecified</a>, <a class="el" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Scalar</a>, and <a class="el" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Specified</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_tensor_test_8cpp_source.xhtml#l00249">BOOST_AUTO_TEST_CASE()</a>, and <a class="el" href="_tensor_8hpp_source.xhtml#l00092">TensorShape::GetDimensionality()</a>.</p> +<div class="fragment"><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>  CheckUnspecifiedNumDimensions();</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>  <span class="keywordtype">bool</span> isAtLeastOneDimensionSpecified = <span class="keyword">false</span>;</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < m_NumDimensions; ++i)</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">if</span> (m_DimensionsSpecificity[i])</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>  isAtLeastOneDimensionSpecified = <span class="keyword">true</span>;</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>  }</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keywordflow">return</span> isAtLeastOneDimensionSpecified;</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a77d202fcd47612eb5a4d6d23a7d4b349"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a77d202fcd47612eb5a4d6d23a7d4b349">◆ </a></span>operator!=()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool operator!= </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> & </td> + <td class="paramname"><em>other</em></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Inequality comparison operator. </p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">other</td><td>- <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> to compare with. </td></tr> + </table> + </dd> +</dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00169">169</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> +<div class="fragment"><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>  <span class="keywordflow">return</span> !(*<span class="keyword">this</span> == other);</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a0ca6f42172d27e9799da3e3f7840ac31"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0ca6f42172d27e9799da3e3f7840ac31">◆ </a></span>operator=()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> & operator= </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> & </td> + <td class="paramname"><em>other</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Assignation function. </p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">other</td><td>- <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> to copy from. </td></tr> + </table> + </dd> +</dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00124">124</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_tensor_8hpp_source.xhtml#l00197">TensorInfo::HasMultipleQuantizationScales()</a>.</p> +<div class="fragment"><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> {</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  m_NumDimensions = other.m_NumDimensions;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  m_Dimensionality = other.m_Dimensionality;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  std::copy(other.m_Dimensions.cbegin(), other.m_Dimensions.cbegin() + other.m_NumDimensions, m_Dimensions.begin());</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  std::copy(other.m_DimensionsSpecificity.cbegin(), other.m_DimensionsSpecificity.cbegin() + other.m_NumDimensions,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  m_DimensionsSpecificity.begin());</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a07e348fae6036aecdaf41e738d1ae9ff"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a07e348fae6036aecdaf41e738d1ae9ff">◆ </a></span>operator==()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">bool operator== </td> + <td>(</td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> & </td> + <td class="paramname"><em>other</em></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Equality comparison operator. </p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">other</td><td>- <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> to compare with. </td></tr> + </table> + </dd> +</dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00160">160</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_tensor_8hpp_source.xhtml#l00197">TensorInfo::HasMultipleQuantizationScales()</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">return</span> ((m_NumDimensions == other.m_NumDimensions) &&</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  (m_Dimensionality == other.m_Dimensionality) &&</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  std::equal(m_Dimensions.cbegin(), m_Dimensions.cbegin() + m_NumDimensions, other.m_Dimensions.cbegin()) &&</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  std::equal(m_DimensionsSpecificity.cbegin(), m_DimensionsSpecificity.cbegin() + m_NumDimensions,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  other.m_DimensionsSpecificity.cbegin()));</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a6e6dab22049a4432e8306a301dceff52"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6e6dab22049a4432e8306a301dceff52">◆ </a></span>operator[]() <span class="overload">[1/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">unsigned int operator[] </td> + <td>(</td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>i</em></td><td>)</td> + <td> const</td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Read only operator. </p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">i</td><td>- Dimension index. </td></tr> + </table> + </dd> +</dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00135">135</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> {</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  CheckUnspecifiedNumDimensions();</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  CheckDimensionIndex(i);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  CheckDimensionSpecified(i);</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>  <span class="keywordflow">return</span> m_Dimensions.at(i);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a0bd5fcf80a3838d0922354989762d7c8"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0bd5fcf80a3838d0922354989762d7c8">◆ </a></span>operator[]() <span class="overload">[2/2]</span></h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">unsigned int & operator[] </td> + <td>(</td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>i</em></td><td>)</td> + <td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Read and write operator. </p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">i</td><td>- Dimension index. </td></tr> + </table> + </dd> +</dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00145">145</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_exceptions_8hpp_source.xhtml#l00197">CHECK_LOCATION</a>, and <a class="el" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Scalar</a>.</p> +<div class="fragment"><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> {</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">Dimensionality::Scalar</a> == m_Dimensionality)</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>  std::stringstream errorMessage;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  errorMessage << <span class="stringliteral">"TensorShape with Dimensionality::Scalar must be const to use operator[]"</span>;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordflow">throw</span> InvalidArgumentException(errorMessage.str(), <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</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>  CheckUnspecifiedNumDimensions();</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  CheckDimensionIndex(i);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  CheckDimensionSpecified(i);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordflow">return</span> m_Dimensions.at(i);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> }</div><div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00197">Exceptions.hpp:197</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ad82b782a8e1a05b6a3756e73c66d5f90"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ad82b782a8e1a05b6a3756e73c66d5f90">◆ </a></span>SetDimensionSize()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">void SetDimensionSize </td> + <td>(</td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>i</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>dimensionSize</em> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Sets the size of the indicated dimension and Specificity for that dimension is set to true. </p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">i</td><td>- Dimension index. </td></tr> + <tr><td class="paramname">dimensionSize</td><td>- size of one dimension. </td></tr> + </table> + </dd> +</dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00232">232</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_tensor_test_8cpp_source.xhtml#l00365">BOOST_AUTO_TEST_CASE()</a>, and <a class="el" href="_tensor_8hpp_source.xhtml#l00092">TensorShape::GetDimensionality()</a>.</p> +<div class="fragment"><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>  CheckScalar();</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  CheckDimensionIndex(i);</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>  m_Dimensions[i] = dimensionSize;</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  m_DimensionsSpecificity[i] = <span class="keyword">true</span>;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a82c7d5a6e675b1a876daa9983cd125d2"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a82c7d5a6e675b1a876daa9983cd125d2">◆ </a></span>SetNumDimensions()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">void SetNumDimensions </td> + <td>(</td> + <td class="paramtype">unsigned int </td> + <td class="paramname"><em>numDimensions</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">bool </td> + <td class="paramname"><em>initDimensionsSpecificity</em> = <code><a class="el" href="_ref_layer_tests_8cpp.xhtml#a2289f9e7fac0ce47801448e873b04303">false</a></code> </td> + </tr> + <tr> + <td></td> + <td>)</td> + <td></td><td></td> + </tr> + </table> +</div><div class="memdoc"> + +<p>Sets the tensor rank and therefore the Dimensionality is set to Specified if it was not. </p> +<dl class="params"><dt>Parameters</dt><dd> + <table class="params"> + <tr><td class="paramname">numDimensions</td><td>- <a class="el" href="classarmnn_1_1_tensor.xhtml" title="A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. ">Tensor</a> rank. </td></tr> + <tr><td class="paramname">initDimensionsSpecificity</td><td>(optional) - value to initialize the specificity of each dimension size. </td></tr> + </table> + </dd> +</dl> + +<p class="definition">Definition at line <a class="el" href="_tensor_8cpp_source.xhtml#l00219">219</a> of file <a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Specified</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_tensor_test_8cpp_source.xhtml#l00365">BOOST_AUTO_TEST_CASE()</a>, and <a class="el" href="_tensor_8hpp_source.xhtml#l00092">TensorShape::GetDimensionality()</a>.</p> +<div class="fragment"><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>  CheckScalar();</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  CheckSpecifiedNumDimensions();</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  CheckValidNumDimensions(numDimensions);</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>  m_NumDimensions = numDimensions;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  m_Dimensionality = <a class="code" href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">Dimensionality::Specified</a>;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  std::fill(m_Dimensions.begin(), m_Dimensions.begin() + m_NumDimensions, 0);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  std::fill(m_DimensionsSpecificity.begin(), m_DimensionsSpecificity.begin() + m_NumDimensions,</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  initDimensionsSpecificity);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3"><div class="ttname"><a href="namespacearmnn.xhtml#a8e1f31031ad31cd8cc22d7c9daa32681ab4b379bf7ded74c07595ccb85bc6fdc3">armnn::Dimensionality::Specified</a></div></div> +</div><!-- fragment --> +</div> +</div> +<hr/>The documentation for this class was generated from the following files:<ul> +<li>include/armnn/<a class="el" href="_tensor_8hpp_source.xhtml">Tensor.hpp</a></li> +<li>src/armnn/<a class="el" href="_tensor_8cpp_source.xhtml">Tensor.cpp</a></li> +</ul> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="namespacearmnn.xhtml">armnn</a></li><li class="navelem"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a></li> + <li class="footer">Generated on Thu Feb 25 2021 17:28:01 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |